何のコーパスか: アクチュエータ各種(BLDC / ステッパ / サーボ / ハーモニック / サイクロイド / SEA / QDD / 油空圧 / ソフト / SMA / 圧電 / 誘電エラストマ / ボイスコイル / リニア)、モータ制御(FOC・ドライバ・電流検出・エンコーダ)、センサ各種と校正・融合、電源 / BMS / パワエレ / DC-DC / ゲートドライバ / EMI / PCB、CAN / EtherCAT / RS-485 / I2C / SPI、組込み RTOS、FMEA、データシートの読み方。
Fullseye でなぜ要るか: Fullseye が受け取る信号・画像の上流にある部品の原理と選定。センサの族(lightfield / photon / rangedoppler)とSENSOR_PLAYBOOK.md の背景知識。制御・電気そのものは Fullseye の外で、動きを画像で測る側だけが op に落ちる。
来歴: OpenAlex から取得した論文メタデータ 2,400 本(2012 年以降、fetch_openalex_topical.py)を TF-IDF + k-means で 64 クラスタに階層化し(raptor の corpus2skill、2026-09-21)、各クラスタの要約を LLM(claude-haiku-4-5)が書いた。ここに載せるのはその要約と、代表論文の題名・著者・年・DOI だけ(メタデータは CC0。抄録は出版社の権利なので写さない)。要約は生成時の英語のまま。正直な限界: 文献は原理・選定・校正の研究が中心で、型番やデータシートの数値(製品知識)は薄い。
使い方(op に落とす): 各クラスタの「使う op」は、知識のテーマ → op の対応表(tools/gen_literature_notes.py の THEME_OPS、人が書いたもの)で引いた実在の op(生成時に出荷ノート 3,623 本の一覧と突き合わせ、無ければ止まる)。op の後ろはなぜ使うかと型。テーマに当たらないクラスタは「op に落ちていない」と書く(Fullseye に無い領域を隠さない)。読む順: 工程・部品の話題 → クラスタ → 使う op → op ノート(型の契約・実行できる例)→ 実装。末尾の「op → クラスタ」で逆に引ける。
231 本
This cluster covers the design, control, and optimization of electric motors, with emphasis on brushless DC (BLDC), induction, and stepper motor architectures. It encompasses both traditional control methods (PID, field-oriented control) and intelligent/adaptive approaches (fuzzy logic, evolutionary optimization, neural controllers).
使う op(テーマ → op の対応表から。ノートで型と例を確かめてから使う):
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、angular_resample(回転同期、signal → table)、piv_multipass(流体(油空圧)の流れ場、image2d × image2d → flow2d)This cluster covers motor speed control systems, particularly brushless DC (BLDC) motors and induction motors, with emphasis on advanced control methodologies.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers field-oriented control (FOC) and direct torque control (DTC) techniques for induction motors, with emphasis on sensorless operation, control algorithms, and fault detection methods.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers the design, optimization, and control of brushless DC motors (BLDC) and related electric motor technologies.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers the control systems and methodologies for stepper and servo motors, with emphasis on microcontroller-based implementations, driver circuits, and closed-loop control strategies.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers brushless DC (BLDC) motor design, control, and optimization techniques.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers the design, control, and fault management of permanent magnet synchronous motors (PMSM) and related direct-drive systems.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers brushless DC (BLDC) motor technology, including motor design, control systems, and drive architectures.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers advanced control methodologies for brushless DC (BLDC) motors, with emphasis on sensorless operation and intelligent speed regulation.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipass292 本
This cluster covers the intersection of power delivery, battery systems, and gate-level control in energy conversion and storage applications. It addresses thermal management, electrochemistry, dynamics modeling, and semiconductor switching in lithium-ion battery packs and power conversion circuits used in electric vehicles and microgrid systems.
使う op(テーマ → op の対応表から。ノートで型と例を確かめてから使う):
fbp_volume(電池 CT の再構成、sinostack → voxel)、vol_wall_thickness(電極・セパレータの厚み、voxel → signal)、vol_label(層のラベル、voxel → labels)、vol_region_props(層の性質、labels → table)、metal_trace_interpolate(金属アーチファクト、sinogram → sinogram)、beam_hardening_correct(カッピング、sinogram → sinogram)fmcw_range_profile(FMCW の距離、beatcube → signal)、beamform_delay_sum(ビームフォーミング、beatcube → signal)、range_doppler_map(距離・速度、beatcube → image2d)、angular_spectrum_propagate(波の伝搬、cimage → cimage)、stft(時間周波数、signal → table)、gcc_delay(到達時間差、signal × signal → measurement)、pulse_echo_ascan(超音波のパルスエコー(A スキャン)、table → table)、acoustic_layer_stack(積層の反射と透過(音響インピーダンス)、入力なし → table)、echo_phase_polarity(エコーの位相の反転でボイドを見分ける、table → table)、matched_filter_snr(既知の波形の整合フィルタ、signal × signal × pairs → signal)、music_doa(アンテナ・マイク列での到来方向(MUSIC、ビーム幅より細かく)、matrix → table)This cluster covers lithium-ion battery technologies and materials science, with emphasis on electrochemistry, thermal management, performance optimization, and commercialization for electric vehicles.
fbp_volume(電池 CT の再構成、sinostack → voxel)、vol_wall_thickness(電極・セパレータの厚み、voxel → signal)、vol_label(層のラベル、voxel → labels)、vol_region_props(層の性質、labels → table)、metal_trace_interpolate(金属アーチファクト、sinogram → sinogram)、beam_hardening_correct(カッピング、sinogram → sinogram)This cluster covers DC-DC converter topologies, designs, and applications across power electronics systems, including buck, boost, buck-boost, and specialized converters for renewable energy, HVDC transmission, and motor drives.
fbp_volume(電池 CT の再構成、sinostack → voxel)、vol_wall_thickness(電極・セパレータの厚み、voxel → signal)、vol_label(層のラベル、voxel → labels)、vol_region_props(層の性質、labels → table)、metal_trace_interpolate(金属アーチファクト、sinogram → sinogram)、beam_hardening_correct(カッピング、sinogram → sinogram)This cluster addresses electromagnetic interference (EMI) mitigation and electromagnetic compatibility (EMC) in power electronics, with a primary focus on silicon carbide (SiC) MOSFET devices and DC-DC converters.
fbp_volume(電池 CT の再構成、sinostack → voxel)、vol_wall_thickness(電極・セパレータの厚み、voxel → signal)、vol_label(層のラベル、voxel → labels)、vol_region_props(層の性質、labels → table)、metal_trace_interpolate(金属アーチファクト、sinogram → sinogram)、beam_hardening_correct(カッピング、sinogram → sinogram)、ほか 11 個: fmcw_range_profile、beamform_delay_sum、range_doppler_map、angular_spectrum_propagate、stft、gcc_delay、pulse_echo_ascan、acoustic_layer_stack、echo_phase_polarity、matched_filter_snr、music_doaThis cluster covers power converter technologies, control strategies, and stability mechanisms in microgrids and smart grid systems.
fbp_volume(電池 CT の再構成、sinostack → voxel)、vol_wall_thickness(電極・セパレータの厚み、voxel → signal)、vol_label(層のラベル、voxel → labels)、vol_region_props(層の性質、labels → table)、metal_trace_interpolate(金属アーチファクト、sinogram → sinogram)、beam_hardening_correct(カッピング、sinogram → sinogram)This cluster covers gate driver design and control mechanisms for wide-bandgap semiconductor devices (SiC MOSFETs and IGBTs), with emphasis on high-speed switching, isolation techniques, and protection strategies.
fbp_volume(電池 CT の再構成、sinostack → voxel)、vol_wall_thickness(電極・セパレータの厚み、voxel → signal)、vol_label(層のラベル、voxel → labels)、vol_region_props(層の性質、labels → table)、metal_trace_interpolate(金属アーチファクト、sinogram → sinogram)、beam_hardening_correct(カッピング、sinogram → sinogram)This cluster covers SiC (Silicon Carbide) MOSFET gate driver design, reliability, and condition monitoring techniques.
fbp_volume(電池 CT の再構成、sinostack → voxel)、vol_wall_thickness(電極・セパレータの厚み、voxel → signal)、vol_label(層のラベル、voxel → labels)、vol_region_props(層の性質、labels → table)、metal_trace_interpolate(金属アーチファクト、sinogram → sinogram)、beam_hardening_correct(カッピング、sinogram → sinogram)This cluster covers power converter technologies and topologies used in renewable energy systems, electric vehicles, and power electronics applications.
fbp_volume(電池 CT の再構成、sinostack → voxel)、vol_wall_thickness(電極・セパレータの厚み、voxel → signal)、vol_label(層のラベル、voxel → labels)、vol_region_props(層の性質、labels → table)、metal_trace_interpolate(金属アーチファクト、sinogram → sinogram)、beam_hardening_correct(カッピング、sinogram → sinogram)This cluster covers gate driver design and control circuits for wide-bandgap semiconductor devices (GaN and SiC MOSFETs/HEMTs) used in power electronics applications.
fbp_volume(電池 CT の再構成、sinostack → voxel)、vol_wall_thickness(電極・セパレータの厚み、voxel → signal)、vol_label(層のラベル、voxel → labels)、vol_region_props(層の性質、labels → table)、metal_trace_interpolate(金属アーチファクト、sinogram → sinogram)、beam_hardening_correct(カッピング、sinogram → sinogram)216 本
This cluster covers piezoelectric and shape memory alloy (SMA) actuator technologies, including their control strategies, design methodologies, and real-world applications in robotics, surgical devices, and precision systems. The research spans actuator modeling, hysteresis compensation, adaptive control approaches, and performance optimization across mechanical and biomedical domains.
使う op(テーマ → op の対応表から。ノートで型と例を確かめてから使う):
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、angular_resample(回転同期、signal → table)、piv_multipass(流体(油空圧)の流れ場、image2d × image2d → flow2d)mesh_area(表面積、mesh → measurement)、mesh_volume(体積、mesh → measurement)、vertex_curvature(曲率(角・フィレット)、mesh → curvature)、decimate_qem(間引き、mesh → mesh)、mesh_isotropic_remesh(等方リメッシュ、mesh → mesh)、mesh_to_voxel(メッシュ → 体積、mesh → voxel)、mesh_sample_points(メッシュ → 点群、mesh → points)、shape_index(局所形状の型、points → descriptor)、d2_distribution(形状の記述子(検索・比較)、points → descriptor)、procrustes_distance(位置・向き・大きさを除いた形の差、points × points → measurement)、shape_pca(同種部品の形のばらつき(統計形状モデル)、shapeset → shapemodel)bearing_defect_frequencies(軸受の欠陥周波数、入力なし → table)、envelope_spectrum(包絡スペクトル、signal → table)、spectral_kurtosis(衝撃の帯域、signal → table)、ae_band_power(アコースティック・エミッションの帯域パワー、signal × scalar → table)、cepstrum(ケプストラム、signal → table)、stft(時間周波数、signal → table)、spc_ewma(劣化の監視、signal → table)、motion_magnify(動画からの振動、video → table)spectrum_to_srgb(分光 → 色、signal → vector)、thin_film_reflectance(薄膜の干渉色、signal → signal)、material_catalog(材質の外観表、入力なし → table)、oren_nayar(粗い面の反射、normalmap → image2d)、brdf_microfacet(微小面の反射、normalmap → image2d)、metallic_flake_normals(メタリック塗装、入力なし → normalmap)、corrosion_mask(腐食域、入力なし → image2d)、cooc_feature_matrix(組織のテクスチャ、image → feature)、gabor(方向性のテクスチャ、image → image)、vol_granulometry(CT の空隙分布、voxel → measurement)、entropy_image(組織の乱れ、image → image)、material_table(材料の光学物性表(83 種、光学系と観察対象が同じ表を引く)、入力なし → table)、material_optical_constants(波長ごとの n, k、入力なし → table)、material_transmittance(厚さ d の透過率、入力なし → pairs)、thermo_optic_coefficient(温度で変わる屈折率、入力なし → table)、phase_fractions(粉末 X 線回折から相の割合、signal × signal × table → table)、scherrer_size(回折線の幅から結晶子の大きさ(Scherrer)、scalar × scalar × scalar → scalar)debye_ring_image(検出器の Debye 環、any × signal × table → table)、detector_calibrate(検出器の幾何の較正、image2d × signal × table → table)、azimuthal_integrate(環を 2θ の 1-D に、image2d × table → table)、diffraction_peaks(回折ピーク、signal × signal → table)、cif_read(CIF の結晶構造を読む、any → table)This cluster addresses control strategies for piezoelectric actuators (PEAs), with particular focus on managing the inherent hysteresis nonlinearity that degrades precision positioning and tracking performance.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers shape memory alloy (SMA) actuators and their design, modeling, and control mechanisms.
mesh_area(表面積、mesh → measurement)、mesh_volume(体積、mesh → measurement)、vertex_curvature(曲率(角・フィレット)、mesh → curvature)、decimate_qem(間引き、mesh → mesh)、mesh_isotropic_remesh(等方リメッシュ、mesh → mesh)、mesh_to_voxel(メッシュ → 体積、mesh → voxel)、ほか 27 個: mesh_sample_points、shape_index、d2_distribution、procrustes_distance、shape_pca、spectrum_to_srgb、thin_film_reflectance、material_catalog、oren_nayar、brdf_microfacet、metallic_flake_normals、corrosion_mask、cooc_feature_matrix、gabor、vol_granulometry、entropy_image、material_table、material_optical_constants、material_transmittance、thermo_optic_coefficient、phase_fractions、scherrer_size、debye_ring_image、detector_calibrate、azimuthal_integrate、diffraction_peaks、cif_readThis cluster covers adaptive and robust control techniques for servo systems and actuators, with emphasis on disturbance rejection, fault tolerance, and precise motion tracking.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers the design, optimization, and control of piezoelectric and vibration systems for active structural control applications.
bearing_defect_frequencies(軸受の欠陥周波数、入力なし → table)、envelope_spectrum(包絡スペクトル、signal → table)、spectral_kurtosis(衝撃の帯域、signal → table)、ae_band_power(アコースティック・エミッションの帯域パワー、signal × scalar → table)、cepstrum(ケプストラム、signal → table)、order_spectrum(次数スペクトル、signal → table)、ほか 10 個: stft、spc_ewma、motion_magnify、phase_displacement、displacement_series、riesz_displacement_series、temporal_band_power、band_snr、angular_resample、piv_multipassThis cluster covers Shape Memory Alloy (SMA) actuators, their design methodologies, material properties, and applications across diverse domains including soft robotics, surgical instruments, wearables, and industrial systems.
mesh_area(表面積、mesh → measurement)、mesh_volume(体積、mesh → measurement)、vertex_curvature(曲率(角・フィレット)、mesh → curvature)、decimate_qem(間引き、mesh → mesh)、mesh_isotropic_remesh(等方リメッシュ、mesh → mesh)、mesh_to_voxel(メッシュ → 体積、mesh → voxel)、ほか 27 個: mesh_sample_points、shape_index、d2_distribution、procrustes_distance、shape_pca、spectrum_to_srgb、thin_film_reflectance、material_catalog、oren_nayar、brdf_microfacet、metallic_flake_normals、corrosion_mask、cooc_feature_matrix、gabor、vol_granulometry、entropy_image、material_table、material_optical_constants、material_transmittance、thermo_optic_coefficient、phase_fractions、scherrer_size、debye_ring_image、detector_calibrate、azimuthal_integrate、diffraction_peaks、cif_readThis cluster covers piezoelectric actuators and their control systems, with particular emphasis on addressing hysteresis—a nonlinear phenomenon that degrades positioning accuracy.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers the modeling, characterization, and control of nonlinear dynamics in precision transmission systems—particularly harmonic drives and cycloidal drives used in robotic manipulators.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers the design, control, and application of Shape Memory Alloy (SMA) actuators across diverse engineering domains including soft robotics, aerospace, medical devices, and space systems.
mesh_area(表面積、mesh → measurement)、mesh_volume(体積、mesh → measurement)、vertex_curvature(曲率(角・フィレット)、mesh → curvature)、decimate_qem(間引き、mesh → mesh)、mesh_isotropic_remesh(等方リメッシュ、mesh → mesh)、mesh_to_voxel(メッシュ → 体積、mesh → voxel)、ほか 27 個: mesh_sample_points、shape_index、d2_distribution、procrustes_distance、shape_pca、spectrum_to_srgb、thin_film_reflectance、material_catalog、oren_nayar、brdf_microfacet、metallic_flake_normals、corrosion_mask、cooc_feature_matrix、gabor、vol_granulometry、entropy_image、material_table、material_optical_constants、material_transmittance、thermo_optic_coefficient、phase_fractions、scherrer_size、debye_ring_image、detector_calibrate、azimuthal_integrate、diffraction_peaks、cif_read630 本
This cluster synthesizes systematic reviews, meta-analyses, and comprehensive analyses across medical, materials, and sensing technologies. It covers evidence-based evaluation methodologies, clinical guideline development, and broad-spectrum technology assessments that inform security and reliability considerations in healthcare devices, biosensors, and advanced materials.
使う op(テーマ → op の対応表から。ノートで型と例を確かめてから使う):
temporal_bandpass(動画の時間帯域(揺らぎ)、video → video)、motion_magnify(微小な動きの拡大、video → table)、video_spacetime_cube(時空間の立方体、video → voxel)、video_summary_keyframes(要約コマ、video → indices)、blob_count(スパッタ・粒の数、region → feature)、area_center(溶融池の面積と重心、region → match)、volseq_magnify_motion(3D+t の拍動の拡大、volseq → volseq)、focus_sweep_height_video(焦点掃引 → 高さの時系列、volseq → video)m1_measure_pos(エッジ位置(1-D 計測)、image → contour)、m1_measure_pairs(対のエッジ = 幅、image → feature)、edges_sub_pix(サブピクセル輪郭、image → contour)、fit_poly_surface(面の当てはめ、image2d × image2d × image2d → poly_surface)、surface_form_error(平面度・形状誤差、image2d → measurement)、ransac_plane(基準面、points → primitive)、distance_point_plane(点と面の距離(高さ)、points × primitive → measurement)、angle_between_planes(面の角度、primitive → measurement)、annotate3d_measure(3D の寸法の注記、image2d → image2d)、profile_params(断面の粗さパラメータ、signal → table)、surface_params(面の粗さパラメータ、depth → table)、measure_pos(測定線上のエッジ位置(サブピクセル、HALCON measure_pos)、image2d × measurehandle → table)、measure_pairs(エッジの対 = 構造の幅、image2d × measurehandle → table)、profile_deviation(断面の設計形状からの法線方向のずれ、pairs × pairs → table)、profile_thickness(断面の厚み分布、pairs → pairs)bearing_defect_frequencies(軸受の欠陥周波数、入力なし → table)、envelope_spectrum(包絡スペクトル、signal → table)、spectral_kurtosis(衝撃の帯域、signal → table)、ae_band_power(アコースティック・エミッションの帯域パワー、signal × scalar → table)、cepstrum(ケプストラム、signal → table)、order_spectrum(次数スペクトル、signal → table)、stft(時間周波数、signal → table)、spc_ewma(劣化の監視、signal → table)、phase_displacement(位相ベースの変位、video → table)docs/SENSOR_PLAYBOOK.mdcalibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、normals_from_depth(深度 → 法線、depth → normalmap)、dtof_depth(dToF の距離、counts → measurement)、fmcw_range_profile(FMCW レーダの距離、beatcube → signal)、range_doppler_map(距離・速度の地図、beatcube → image2d)、lf_depth_from_focus(ライトフィールドの深度、lightfield → image2d)、photon_uncertainty(光子計数の誤差棒、image2d → image2d)、spad_deadtime_correct(SPAD の不感時間補正、countrate → countrate)、emva_photon_transfer(カメラの利得と雑音(EMVA 1288 の光子伝達)、signal × signal → table)、emva_quantum_efficiency(量子効率、signal × signal → table)、silicon_photodiode_qe(Si フォトダイオードの分光感度、入力なし → pairs)、spectral_integral(光源 × 対象 × センサの波長積分、pairs → measurement)、kalman_smooth(観測の欠けた軌跡を前後から(Kalman 平滑化)、matrix × matrix × matrix × matrix × matrix × signal × matrix → table)displacement_series(変位の時系列、video → pairs)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、angular_resample(回転同期、signal → table)、piv_multipass(流体(油空圧)の流れ場、image2d × image2d → flow2d)fbp_volume(電池 CT の再構成、sinostack → voxel)、vol_wall_thickness(電極・セパレータの厚み、voxel → signal)、vol_label(層のラベル、voxel → labels)、vol_region_props(層の性質、labels → table)、metal_trace_interpolate(金属アーチファクト、sinogram → sinogram)、beam_hardening_correct(カッピング、sinogram → sinogram)docs/HARDENING.md(PoC が上げた堅牢性)・検査ワークフロー層の Verdictnull_distribution(帰無分布(誤報率)、signal → table)、evidence_quantile(証拠量の位置、measurement × table → table)、spc_capability(工程能力、signal → table)、pod_ahat_fit(検出確率(POD)の â–a 回帰と a90/95、table → table)、pod_decision_tradeoff(見逃しと誤検出の取引、table × signal → table)beamform_delay_sum(ビームフォーミング、beatcube → signal)、angular_spectrum_propagate(波の伝搬、cimage → cimage)、gcc_delay(到達時間差、signal × signal → measurement)、pulse_echo_ascan(超音波のパルスエコー(A スキャン)、table → table)、acoustic_layer_stack(積層の反射と透過(音響インピーダンス)、入力なし → table)、echo_phase_polarity(エコーの位相の反転でボイドを見分ける、table → table)、matched_filter_snr(既知の波形の整合フィルタ、signal × signal × pairs → signal)、music_doa(アンテナ・マイク列での到来方向(MUSIC、ビーム幅より細かく)、matrix → table)This cluster covers the neurobiology and biomechanics of motor systems, including neural control mechanisms, molecular motor function, and pathological disruptions to movement and axonal transport.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers monitoring, health assessment, and driver-related diagnostic technologies spanning biosensors, wearable bioelectronics, activity recognition systems, and fatigue detection mechanisms.
temporal_bandpass(動画の時間帯域(揺らぎ)、video → video)、motion_magnify(微小な動きの拡大、video → table)、video_spacetime_cube(時空間の立方体、video → voxel)、video_summary_keyframes(要約コマ、video → indices)、blob_count(スパッタ・粒の数、region → feature)、area_center(溶融池の面積と重心、region → match)、ほか 11 個: volseq_magnify_motion、focus_sweep_height_video、bearing_defect_frequencies、envelope_spectrum、spectral_kurtosis、ae_band_power、cepstrum、order_spectrum、stft、spc_ewma、phase_displacementThis cluster covers electromagnetic interference (EMI) shielding, antenna design, and metasurface technologies used to suppress unwanted electromagnetic radiation and manipulate electromagnetic waves.
fbp_volume(電池 CT の再構成、sinostack → voxel)、vol_wall_thickness(電極・セパレータの厚み、voxel → signal)、vol_label(層のラベル、voxel → labels)、vol_region_props(層の性質、labels → table)、metal_trace_interpolate(金属アーチファクト、sinogram → sinogram)、beam_hardening_correct(カッピング、sinogram → sinogram)、ほか 11 個: fmcw_range_profile、beamform_delay_sum、range_doppler_map、angular_spectrum_propagate、stft、gcc_delay、pulse_echo_ascan、acoustic_layer_stack、echo_phase_polarity、matched_filter_snr、music_doaThis cluster covers the assessment, optimization, and reliability of energy systems and related infrastructure, with emphasis on renewable energy technologies, sustainability, and failure analysis.
This cluster covers Failure Mode and Effects Analysis (FMEA) and related reliability engineering methodologies used to systematically identify, evaluate, and prioritize potential failures in complex systems.
null_distribution(帰無分布(誤報率)、signal → table)、evidence_quantile(証拠量の位置、measurement × table → table)、spc_capability(工程能力、signal → table)、pod_ahat_fit(検出確率(POD)の â–a 回帰と a90/95、table → table)、pod_decision_tradeoff(見逃しと誤検出の取引、table × signal → table)This cluster covers biological and biomechanical systems at the cellular and tissue level, including bone mechanics under loading, bacterial strain interactions with nanomaterials, cell culture and differentiation, and molecular processes like translation and gene expression.
This cluster covers measurement techniques and sensor technologies for characterizing physical properties across materials, structures, and systems.
m1_measure_pos(エッジ位置(1-D 計測)、image → contour)、m1_measure_pairs(対のエッジ = 幅、image → feature)、edges_sub_pix(サブピクセル輪郭、image → contour)、fit_poly_surface(面の当てはめ、image2d × image2d × image2d → poly_surface)、surface_form_error(平面度・形状誤差、image2d → measurement)、ransac_plane(基準面、points → primitive)、ほか 27 個: distance_point_plane、angle_between_planes、annotate3d_measure、profile_params、surface_params、measure_pos、measure_pairs、profile_deviation、profile_thickness、calibration_views、distortion_map、pnp_ransac、bundle_adjust、project_spherical、depth_to_points、normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smooth158 本
This cluster covers the systematic calibration, integration, and optimization of inertial navigation systems (INS) with complementary sensors like GNSS and visual systems. It addresses the fundamental challenge of achieving accurate position and orientation estimates through multi-sensor fusion, thermal compensation, and advanced filtering techniques suitable for marine, aerial, agricultural, and GPS-denied environments.
使う op(テーマ → op の対応表から。ノートで型と例を確かめてから使う):
simcal_model(順方向の物理モデルとつまみ(単位・範囲・カメラの雑音モデル)を組む、入力なし → simmodel)、simcal_simulate(つまみの値で模型を走らせて画像を作る、simmodel → images)、simcal_observe(実物の画像を位置合わせ・関心領域・露出の正規化をして模型に付ける、simmodel × images → simmodel)、simcal_screen(どのつまみが雑音を越えて画像を動かすか・交絡しているか、simmodel → table)、simcal_fit(重みつき最小二乗で合わせ、決まらないつまみは数を出さずに拒否する、simmodel → calresult)、simcal_identifiability(Cramér-Rao 下界とプロファイル尤度で、決まるつまみか・上限しか言えないかを判定する、calresult → calresult)、simcal_uncertainty(決まったつまみの区間(Laplace かブートストラップ)、calresult → calresult)、simcal_validate(取り置いた画像で過適合の門(LOCKED は 1 回だけ)、calresult × simmodel → calresult)、simcal_discrepancy(残差 PCA でモデルの食い違いを見つけ、不確かさが楽観側だと注記する、calresult → calresult)、simcal_report(較正の表 1 枚(走らせなかった検査は not run と書く)、calresult → table)docs/SENSOR_PLAYBOOK.mdcalibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、normals_from_depth(深度 → 法線、depth → normalmap)、dtof_depth(dToF の距離、counts → measurement)、fmcw_range_profile(FMCW レーダの距離、beatcube → signal)、range_doppler_map(距離・速度の地図、beatcube → image2d)、lf_depth_from_focus(ライトフィールドの深度、lightfield → image2d)、photon_uncertainty(光子計数の誤差棒、image2d → image2d)、spad_deadtime_correct(SPAD の不感時間補正、countrate → countrate)、emva_photon_transfer(カメラの利得と雑音(EMVA 1288 の光子伝達)、signal × signal → table)、emva_quantum_efficiency(量子効率、signal × signal → table)、silicon_photodiode_qe(Si フォトダイオードの分光感度、入力なし → pairs)、spectral_integral(光源 × 対象 × センサの波長積分、pairs → measurement)、kalman_smooth(観測の欠けた軌跡を前後から(Kalman 平滑化)、matrix × matrix × matrix × matrix × matrix × signal × matrix → table)m1_measure_pos(エッジ位置(1-D 計測)、image → contour)、m1_measure_pairs(対のエッジ = 幅、image → feature)、edges_sub_pix(サブピクセル輪郭、image → contour)、fit_poly_surface(面の当てはめ、image2d × image2d × image2d → poly_surface)、surface_form_error(平面度・形状誤差、image2d → measurement)、ransac_plane(基準面、points → primitive)、distance_point_plane(点と面の距離(高さ)、points × primitive → measurement)、angle_between_planes(面の角度、primitive → measurement)、annotate3d_measure(3D の寸法の注記、image2d → image2d)、profile_params(断面の粗さパラメータ、signal → table)、surface_params(面の粗さパラメータ、depth → table)、measure_pos(測定線上のエッジ位置(サブピクセル、HALCON measure_pos)、image2d × measurehandle → table)、measure_pairs(エッジの対 = 構造の幅、image2d × measurehandle → table)、profile_deviation(断面の設計形状からの法線方向のずれ、pairs × pairs → table)、profile_thickness(断面の厚み分布、pairs → pairs)This cluster covers the calibration methodologies and error correction techniques for inertial measurement units (IMUs) and related magnetic sensors.
simcal_model(順方向の物理モデルとつまみ(単位・範囲・カメラの雑音モデル)を組む、入力なし → simmodel)、simcal_simulate(つまみの値で模型を走らせて画像を作る、simmodel → images)、simcal_observe(実物の画像を位置合わせ・関心領域・露出の正規化をして模型に付ける、simmodel × images → simmodel)、simcal_screen(どのつまみが雑音を越えて画像を動かすか・交絡しているか、simmodel → table)、simcal_fit(重みつき最小二乗で合わせ、決まらないつまみは数を出さずに拒否する、simmodel → calresult)、simcal_identifiability(Cramér-Rao 下界とプロファイル尤度で、決まるつまみか・上限しか言えないかを判定する、calresult → calresult)、ほか 22 個: simcal_uncertainty、simcal_validate、simcal_discrepancy、simcal_report、calibration_views、distortion_map、pnp_ransac、bundle_adjust、project_spherical、depth_to_points、normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smoothThis cluster covers integrated inertial navigation system (INS) and global navigation satellite system (GNSS) techniques, with emphasis on maintaining navigation accuracy during GNSS signal denial or outage conditions.
calibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、ほか 12 個: normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smoothThis cluster covers integrated navigation systems that combine GNSS (Global Navigation Satellite System) receivers with inertial measurement units (IMUs/INS) through various sensor fusion algorithms.
calibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、ほか 12 個: normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smoothThis cluster covers the vulnerabilities, limitations, and security challenges inherent to GNSS (Global Navigation Satellite Systems) and alternative positioning technologies.
calibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、ほか 12 個: normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smoothThis cluster covers visual-inertial sensor fusion systems for autonomous aerial vehicles and robotics, integrating camera and IMU data for real-time state estimation and navigation.
calibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、ほか 12 個: normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smoothThis cluster covers the calibration and characterization of inertial measurement units (IMUs) and multi-modal sensor systems, with emphasis on systematic methodologies for improving measurement accuracy.
m1_measure_pos(エッジ位置(1-D 計測)、image → contour)、m1_measure_pairs(対のエッジ = 幅、image → feature)、edges_sub_pix(サブピクセル輪郭、image → contour)、fit_poly_surface(面の当てはめ、image2d × image2d × image2d → poly_surface)、surface_form_error(平面度・形状誤差、image2d → measurement)、ransac_plane(基準面、points → primitive)、ほか 37 個: distance_point_plane、angle_between_planes、annotate3d_measure、profile_params、surface_params、measure_pos、measure_pairs、profile_deviation、profile_thickness、simcal_model、simcal_simulate、simcal_observe、simcal_screen、simcal_fit、simcal_identifiability、simcal_uncertainty、simcal_validate、simcal_discrepancy、simcal_report、calibration_views、distortion_map、pnp_ransac、bundle_adjust、project_spherical、depth_to_points、normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smoothThis cluster covers localization and navigation technologies for autonomous systems, with emphasis on GNSS (Global Navigation Satellite System) integration, multi-sensor fusion approaches, and SLAM (Simultaneous Localization and Mapping) methods.
calibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、ほか 12 個: normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smoothThis cluster addresses the calibration and utilization of Inertial Measurement Units (IMUs) and magneto-inertial systems for precise kinematic analysis across upper and lower limb joints.
simcal_model(順方向の物理モデルとつまみ(単位・範囲・カメラの雑音モデル)を組む、入力なし → simmodel)、simcal_simulate(つまみの値で模型を走らせて画像を作る、simmodel → images)、simcal_observe(実物の画像を位置合わせ・関心領域・露出の正規化をして模型に付ける、simmodel × images → simmodel)、simcal_screen(どのつまみが雑音を越えて画像を動かすか・交絡しているか、simmodel → table)、simcal_fit(重みつき最小二乗で合わせ、決まらないつまみは数を出さずに拒否する、simmodel → calresult)、simcal_identifiability(Cramér-Rao 下界とプロファイル尤度で、決まるつまみか・上限しか言えないかを判定する、calresult → calresult)、ほか 22 個: simcal_uncertainty、simcal_validate、simcal_discrepancy、simcal_report、calibration_views、distortion_map、pnp_ransac、bundle_adjust、project_spherical、depth_to_points、normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smooth247 本
This cluster covers temporal and event-driven security analysis across networked systems, from real-time anomaly detection in streaming data to timing-sensitive vulnerabilities in automotive and embedded networks. It bridges neuromorphic event-based sensing, network communication protocols (CAN, Ethernet), and time-critical intrusion detection systems.
使う op(テーマ → op の対応表から。ノートで型と例を確かめてから使う):
video_spacetime_cube(時空間の立方体、video → voxel)、photon_sample(光子到達の標本化、image2d → image2d)、tcspc_stats(時間相関の統計、counts → table)、temporal_bandpass(時間帯域、video → video)dc_local_contrast_norm(照明むらを除いた局所コントラスト、image → image)、dc_rpca_sparse(背景から外れる疎な欠陥、image → image)、defect_contrast(照明条件での欠陥コントラスト、table → table)、illumination_design(欠陥が出る照明の設計、入力なし → table)、lighting_sweep(照明を振って最良を探す、入力なし → pairs)、auto_threshold(二値化、image → region)、blob_count(欠陥の数、region → feature)、circularity(形の記述、region → feature)、sfp_normals(黒光沢・透明部品の法線を偏光から、polsweep → table)、check_difference(良品(基準)画像との差が許容を超える画素、image2d × image2d → mask)、blob_features(欠陥ごとの形の特徴量、labels2d → table)、separate_touching(接した粒・欠陥を分ける(watershed)、voxel → labels)、pod_hitmiss_fit(欠陥の大きさごとの検出確率(POD)、table → table)、varmodel_fit(良品を並べて画素ごとの許容帯を作る(HALCON の variation model、誤検出率を宣言)、video → table)、varmodel_score(許容帯の外の画素を、何 σ 外れたかと領域ごとに説明する、image2d × table → table)、anomaly_pro(欠陥図の方法を、欠陥 1 つずつの重なり(PRO / AUPRO)で比べる、video × video → table)、solid_angle_sweep(照射立体角を振って打痕・傷のコントラストの山を探す(V-ISA 型照明の立体角の設定)、入力なし → pairs)、solid_angle_render(照射立体角を絞る・広げる・ずらして、鏡面の打痕・ヘアラインの傷・梨地のムラを撮る、normalmap × table → image2d)docs/SENSOR_PLAYBOOK.mdcalibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、normals_from_depth(深度 → 法線、depth → normalmap)、dtof_depth(dToF の距離、counts → measurement)、fmcw_range_profile(FMCW レーダの距離、beatcube → signal)、range_doppler_map(距離・速度の地図、beatcube → image2d)、lf_depth_from_focus(ライトフィールドの深度、lightfield → image2d)、photon_uncertainty(光子計数の誤差棒、image2d → image2d)、spad_deadtime_correct(SPAD の不感時間補正、countrate → countrate)、emva_photon_transfer(カメラの利得と雑音(EMVA 1288 の光子伝達)、signal × signal → table)、emva_quantum_efficiency(量子効率、signal × signal → table)、silicon_photodiode_qe(Si フォトダイオードの分光感度、入力なし → pairs)、spectral_integral(光源 × 対象 × センサの波長積分、pairs → measurement)、kalman_smooth(観測の欠けた軌跡を前後から(Kalman 平滑化)、matrix × matrix × matrix × matrix × matrix × signal × matrix → table)docs/CONNECTIVITY.md(産業プロトコルの対応表)lens_system(レンズ系の定義、入力なし → table)、paraxial_trace(近軸追跡、table → table)、mtf_diffraction(MTF、入力なし → pairs)、depth_of_field(焦点深度、入力なし → table)、illumination_uniformity(照明の均一性、image2d → table)、render_through_lens(設計レンズ越しの像、image2d × table → image2d)、spectrum_to_srgb(分光 → 色、signal → vector)、material_dispersion(ガラスの分散(材料表)、入力なし → pairs)、abbe_number(アッベ数、入力なし → table)、fiber_lp_modes(光ファイバの伝搬モード、入力なし → table)、fiber_bundle_coupling(ライトガイドの照明効率、入力なし → table)、separate_direct_global(直接光と大域光を分ける(高周波照明)、images → table)、solid_angle_light(照射立体角を制御する照明(V-ISA 型照明・照射立体角制御照明)を真似る光源: 照明の円錐の半角と向き、入力なし → table)、solid_angle_boundaries(照射立体角と観察立体角(レンズの NA)から、明暗が切り替わる面の傾きの境界、table → table)、solid_angle_brightness(鏡面の傾きと明るさ(照射立体角と観察立体角の重なり、明視野と暗視野の境目)、table → table)This cluster covers event-based vision sensors (DVS/event cameras) and their applications in neuromorphic computing.
video_spacetime_cube(時空間の立方体、video → voxel)、photon_sample(光子到達の標本化、image2d → image2d)、tcspc_stats(時間相関の統計、counts → table)、temporal_bandpass(時間帯域、video → video)、lens_system(レンズ系の定義、入力なし → table)、paraxial_trace(近軸追跡、table → table)、ほか 14 個: mtf_diffraction、depth_of_field、illumination_design、illumination_uniformity、render_through_lens、spectrum_to_srgb、material_dispersion、abbe_number、fiber_lp_modes、fiber_bundle_coupling、separate_direct_global、solid_angle_light、solid_angle_boundaries、solid_angle_brightnessThis cluster covers intrusion detection and anomaly detection techniques across network and vehicular systems, with emphasis on machine learning and deep learning approaches for real-time threat identification.
dc_local_contrast_norm(照明むらを除いた局所コントラスト、image → image)、dc_rpca_sparse(背景から外れる疎な欠陥、image → image)、defect_contrast(照明条件での欠陥コントラスト、table → table)、illumination_design(欠陥が出る照明の設計、入力なし → table)、lighting_sweep(照明を振って最良を探す、入力なし → pairs)、auto_threshold(二値化、image → region)、ほか 12 個: blob_count、circularity、sfp_normals、check_difference、blob_features、separate_touching、pod_hitmiss_fit、varmodel_fit、varmodel_score、anomaly_pro、solid_angle_sweep、solid_angle_renderThis cluster covers time-of-flight (ToF) and depth imaging technologies, focusing on single-pixel and pixel-array sensor architectures for 3D distance measurement.
This cluster covers event-based camera technology and its applications in computer vision and autonomous systems.
calibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、ほか 16 個: normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smooth、video_spacetime_cube、photon_sample、tcspc_stats、temporal_bandpassThis cluster covers neural network-based detection systems applied across diverse domains including video surveillance, defect identification, object recognition, and activity analysis.
This cluster covers security vulnerabilities and defensive strategies in automotive networks, particularly focusing on Controller Area Network (CAN) buses and emerging in-vehicle communication protocols like Time-Sensitive Networking (TSN).
video_spacetime_cube(時空間の立方体、video → voxel)、photon_sample(光子到達の標本化、image2d → image2d)、tcspc_stats(時間相関の統計、counts → table)、temporal_bandpass(時間帯域、video → video)This cluster covers time-of-flight (ToF) depth sensing technologies and their applications in 3D reconstruction, measurement, and real-time scene capture.
calibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、ほか 12 個: normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smoothThis cluster covers security research on automotive vehicle networks, with primary focus on the Controller Area Network (CAN) bus—the dominant in-vehicle network protocol used in modern automobiles.
276 本
This cluster covers the design, control, and safety aspects of robotic systems used in rehabilitation and assistive applications, including exoskeletons, prosthetics, and humanoid robots. It addresses advanced actuator control techniques—particularly series elastic actuators (SEAs), hydraulic systems, and adaptive neural controllers—that enable safe physical human-robot interaction and precise force/torque management.
使う op(テーマ → op の対応表から。ノートで型と例を確かめてから使う):
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、angular_resample(回転同期、signal → table)、piv_multipass(流体(油空圧)の流れ場、image2d × image2d → flow2d)docs/PERCEPTION_PHYSICAL_AI.mdpnp_ransac(カメラから物体の姿勢、points × keypoints → pose)、dlt_pose(姿勢の直接解、points × keypoints → pose)、reprojection_error(姿勢の検証、points × keypoints → measurement)、optimize_pose_graph(軌跡の整合、pose → table)、relative_pose(相対姿勢、pose × pose → pose)、register_cpd_rigid(剛体の位置合わせ、points × points → pose)、icp_point2plane(ICP、points × points × normals → pose)、estimate_flow(3D の流れ、points × points → flow_scattered)、segment_rigid_motions(動く部品の分離、points × points → labels)、fit_rigid(剛体運動の当てはめ、points × points → pose)、peg_offset_from_rgbd(peg-in-hole: 手首カメラの RGB-D からずれ、rgb × image2d × matrix × matrix → table)、hole_centre_from_rgbd(穴の中心、rgb × image2d × matrix → table)、jamming_diagram(かじり(jamming)の図(Whitney)、table → table)、insertion_failure_classify(挿入の失敗の分類、table → table)、spiral_search_points(穴探しのらせん探索、scalar × scalar × scalar → table)、slip_predict(不整地の車輪の滑りの予測、table × signal → table)、dem_slope(地形の高さ地図から傾斜、depth → image2d)strain_from_displacement(全視野ひずみ、image2d × image2d → image2d)、motion_magnify(微小変形の拡大、video → table)、vol_frangi(CT 中の管状き裂の強調、voxel → voxel)、canny(き裂のエッジ、image → region)、hessian3d(3D の線状構造、voxel → hessian)、distance_ridge(き裂の中心線、voxel → voxel)simcal_model(順方向の物理モデルとつまみ(単位・範囲・カメラの雑音モデル)を組む、入力なし → simmodel)、simcal_simulate(つまみの値で模型を走らせて画像を作る、simmodel → images)、simcal_observe(実物の画像を位置合わせ・関心領域・露出の正規化をして模型に付ける、simmodel × images → simmodel)、simcal_screen(どのつまみが雑音を越えて画像を動かすか・交絡しているか、simmodel → table)、simcal_fit(重みつき最小二乗で合わせ、決まらないつまみは数を出さずに拒否する、simmodel → calresult)、simcal_identifiability(Cramér-Rao 下界とプロファイル尤度で、決まるつまみか・上限しか言えないかを判定する、calresult → calresult)、simcal_uncertainty(決まったつまみの区間(Laplace かブートストラップ)、calresult → calresult)、simcal_validate(取り置いた画像で過適合の門(LOCKED は 1 回だけ)、calresult × simmodel → calresult)、simcal_discrepancy(残差 PCA でモデルの食い違いを見つけ、不確かさが楽観側だと注記する、calresult → calresult)、simcal_report(較正の表 1 枚(走らせなかった検査は not run と書く)、calresult → table)docs/SENSOR_PLAYBOOK.mdcalibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、normals_from_depth(深度 → 法線、depth → normalmap)、dtof_depth(dToF の距離、counts → measurement)、fmcw_range_profile(FMCW レーダの距離、beatcube → signal)、range_doppler_map(距離・速度の地図、beatcube → image2d)、lf_depth_from_focus(ライトフィールドの深度、lightfield → image2d)、photon_uncertainty(光子計数の誤差棒、image2d → image2d)、spad_deadtime_correct(SPAD の不感時間補正、countrate → countrate)、emva_photon_transfer(カメラの利得と雑音(EMVA 1288 の光子伝達)、signal × signal → table)、emva_quantum_efficiency(量子効率、signal × signal → table)、silicon_photodiode_qe(Si フォトダイオードの分光感度、入力なし → pairs)、spectral_integral(光源 × 対象 × センサの波長積分、pairs → measurement)、kalman_smooth(観測の欠けた軌跡を前後から(Kalman 平滑化)、matrix × matrix × matrix × matrix × matrix × signal × matrix → table)This cluster covers the design, control, and optimization of robotic actuators and transmission systems, including hydraulic, pneumatic, soft, and series elastic actuators.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 19 個: angular_resample、piv_multipass、pnp_ransac、dlt_pose、reprojection_error、optimize_pose_graph、relative_pose、register_cpd_rigid、icp_point2plane、estimate_flow、segment_rigid_motions、fit_rigid、peg_offset_from_rgbd、hole_centre_from_rgbd、jamming_diagram、insertion_failure_classify、spiral_search_points、slip_predict、dem_slopeThis cluster covers the design, control, and implementation of exoskeletons and active orthoses for rehabilitation and mobility assistance.
pnp_ransac(カメラから物体の姿勢、points × keypoints → pose)、dlt_pose(姿勢の直接解、points × keypoints → pose)、reprojection_error(姿勢の検証、points × keypoints → measurement)、optimize_pose_graph(軌跡の整合、pose → table)、relative_pose(相対姿勢、pose × pose → pose)、register_cpd_rigid(剛体の位置合わせ、points × points → pose)、ほか 11 個: icp_point2plane、estimate_flow、segment_rigid_motions、fit_rigid、peg_offset_from_rgbd、hole_centre_from_rgbd、jamming_diagram、insertion_failure_classify、spiral_search_points、slip_predict、dem_slopeThis cluster covers pneumatic artificial muscles (PAMs) and related soft actuator technologies used in robotic systems, rehabilitation devices, exoskeletons, and aerospace applications.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers actuator design and control systems for legged robots, focusing on quasi-direct drive (QDD) and hybrid actuation architectures.
displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、ほか 2 個: angular_resample、piv_multipassThis cluster covers the design, calibration, and application of six-axis force/torque sensors used in robotic systems, space manipulators, and humanoid robots.
simcal_model(順方向の物理モデルとつまみ(単位・範囲・カメラの雑音モデル)を組む、入力なし → simmodel)、simcal_simulate(つまみの値で模型を走らせて画像を作る、simmodel → images)、simcal_observe(実物の画像を位置合わせ・関心領域・露出の正規化をして模型に付ける、simmodel × images → simmodel)、simcal_screen(どのつまみが雑音を越えて画像を動かすか・交絡しているか、simmodel → table)、simcal_fit(重みつき最小二乗で合わせ、決まらないつまみは数を出さずに拒否する、simmodel → calresult)、simcal_identifiability(Cramér-Rao 下界とプロファイル尤度で、決まるつまみか・上限しか言えないかを判定する、calresult → calresult)、ほか 22 個: simcal_uncertainty、simcal_validate、simcal_discrepancy、simcal_report、calibration_views、distortion_map、pnp_ransac、bundle_adjust、project_spherical、depth_to_points、normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smoothThis cluster covers the design, control, and safety analysis of Series Elastic Actuators (SEAs) and their impedance characteristics.
This cluster covers advanced control and sensing techniques for robotic joints, particularly those utilizing harmonic drive transmissions and flexible actuators.
strain_from_displacement(全視野ひずみ、image2d × image2d → image2d)、piv_multipass(多段の変位推定、image2d × image2d → flow2d)、motion_magnify(微小変形の拡大、video → table)、displacement_series(変位の時系列、video → pairs)、vol_frangi(CT 中の管状き裂の強調、voxel → voxel)、canny(き裂のエッジ、image → region)、ほか 19 個: hessian3d、distance_ridge、pnp_ransac、dlt_pose、reprojection_error、optimize_pose_graph、relative_pose、register_cpd_rigid、icp_point2plane、estimate_flow、segment_rigid_motions、fit_rigid、peg_offset_from_rgbd、hole_centre_from_rgbd、jamming_diagram、insertion_failure_classify、spiral_search_points、slip_predict、dem_slopeThis cluster covers the control theory, design methodologies, and practical implementations of series elastic actuators—mechanical systems with compliant springs in series with actuators used in robotics and prosthetics.
350 本
This cluster covers the convergence of soft materials, tactile sensing, and interactive technologies for creating responsive electronic systems. It encompasses flexible pressure sensors, electronic skin (e-skin), haptic interfaces, and soft robotic actuators that enable touch-based perception and feedback in wearables, robotics, and human-machine interfaces.
使う op(テーマ → op の対応表から。ノートで型と例を確かめてから使う):
tac_contact_mask(接触域、image → region)、tac_pressure_proxy(圧力の代理量、image → image)、tac_shear_field(ずれ場、image → image)、tac_surface_normal(接触面の法線、image → image)、tac_height_from_shading(陰影からの高さ、image → image)、hertz_force(Hertz 接触の力と押し込み(閉形式)、scalar × scalar → scalar)、contact_radius_fit(接触半径から押し込み力、normalmap × matrix × matrix × scalar × scalar → table)、mindlin_partial_slip(部分すべり(Mindlin)の固着域、scalar × table × scalar × scalar × scalar → table)、marker_track(膜のマーカーを追う、image2d × image2d × scalar × scalar × scalar → table)、membrane_shear_field(マーカーの変位 → ずれ場、table × table × matrix × matrix × table → table)、torque_decompose(ねじりと傾きのトルクを分ける、matrix × matrix × scalar × scalar × scalar → table)、gradient_lut_invert(GelSight 型の色 → 法線の表引き、rgb × table × image2d → normalmap)、large_deformation_inverse(大変形の接触の逆問題、scalar × scalar × table → table)spectrum_to_srgb(分光 → 色、signal → vector)、thin_film_reflectance(薄膜の干渉色、signal → signal)、material_catalog(材質の外観表、入力なし → table)、oren_nayar(粗い面の反射、normalmap → image2d)、brdf_microfacet(微小面の反射、normalmap → image2d)、metallic_flake_normals(メタリック塗装、入力なし → normalmap)、corrosion_mask(腐食域、入力なし → image2d)、cooc_feature_matrix(組織のテクスチャ、image → feature)、gabor(方向性のテクスチャ、image → image)、vol_granulometry(CT の空隙分布、voxel → measurement)、entropy_image(組織の乱れ、image → image)、material_table(材料の光学物性表(83 種、光学系と観察対象が同じ表を引く)、入力なし → table)、material_optical_constants(波長ごとの n, k、入力なし → table)、material_transmittance(厚さ d の透過率、入力なし → pairs)、thermo_optic_coefficient(温度で変わる屈折率、入力なし → table)、phase_fractions(粉末 X 線回折から相の割合、signal × signal × table → table)、scherrer_size(回折線の幅から結晶子の大きさ(Scherrer)、scalar × scalar × scalar → scalar)docs/SENSOR_PLAYBOOK.mdcalibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、normals_from_depth(深度 → 法線、depth → normalmap)、dtof_depth(dToF の距離、counts → measurement)、fmcw_range_profile(FMCW レーダの距離、beatcube → signal)、range_doppler_map(距離・速度の地図、beatcube → image2d)、lf_depth_from_focus(ライトフィールドの深度、lightfield → image2d)、photon_uncertainty(光子計数の誤差棒、image2d → image2d)、spad_deadtime_correct(SPAD の不感時間補正、countrate → countrate)、emva_photon_transfer(カメラの利得と雑音(EMVA 1288 の光子伝達)、signal × signal → table)、emva_quantum_efficiency(量子効率、signal × signal → table)、silicon_photodiode_qe(Si フォトダイオードの分光感度、入力なし → pairs)、spectral_integral(光源 × 対象 × センサの波長積分、pairs → measurement)、kalman_smooth(観測の欠けた軌跡を前後から(Kalman 平滑化)、matrix × matrix × matrix × matrix × matrix × signal × matrix → table)displacement_series(変位の時系列、video → pairs)、phase_displacement(位相ベースの微小変位、video → table)、riesz_displacement_series(Riesz 変換の変位、video → pairs)、temporal_band_power(帯域ごとの動きの量、video → image2d)、band_snr(動きの SN、video → table)、order_spectrum(回転次数、signal → table)、angular_resample(回転同期、signal → table)、piv_multipass(流体(油空圧)の流れ場、image2d × image2d → flow2d)docs/PERCEPTION_PHYSICAL_AI.mddlt_pose(姿勢の直接解、points × keypoints → pose)、reprojection_error(姿勢の検証、points × keypoints → measurement)、optimize_pose_graph(軌跡の整合、pose → table)、relative_pose(相対姿勢、pose × pose → pose)、register_cpd_rigid(剛体の位置合わせ、points × points → pose)、icp_point2plane(ICP、points × points × normals → pose)、estimate_flow(3D の流れ、points × points → flow_scattered)、segment_rigid_motions(動く部品の分離、points × points → labels)、fit_rigid(剛体運動の当てはめ、points × points → pose)、peg_offset_from_rgbd(peg-in-hole: 手首カメラの RGB-D からずれ、rgb × image2d × matrix × matrix → table)、hole_centre_from_rgbd(穴の中心、rgb × image2d × matrix → table)、jamming_diagram(かじり(jamming)の図(Whitney)、table → table)、insertion_failure_classify(挿入の失敗の分類、table → table)、spiral_search_points(穴探しのらせん探索、scalar × scalar × scalar → table)、slip_predict(不整地の車輪の滑りの予測、table × signal → table)、dem_slope(地形の高さ地図から傾斜、depth → image2d)This cluster covers hydrogel materials—polymer networks infiltrated with water—and their physical and functional properties.
This cluster covers soft actuators and materials used in soft robotics systems, including pneumatic networks, magnetic actuation, electroactive polymers, and hybrid multimaterial approaches.
tac_contact_mask(接触域、image → region)、tac_pressure_proxy(圧力の代理量、image → image)、tac_shear_field(ずれ場、image → image)、tac_surface_normal(接触面の法線、image → image)、tac_height_from_shading(陰影からの高さ、image → image)、hertz_force(Hertz 接触の力と押し込み(閉形式)、scalar × scalar → scalar)、ほか 32 個: contact_radius_fit、mindlin_partial_slip、marker_track、membrane_shear_field、torque_decompose、gradient_lut_invert、large_deformation_inverse、displacement_series、phase_displacement、riesz_displacement_series、temporal_band_power、band_snr、order_spectrum、angular_resample、piv_multipass、spectrum_to_srgb、thin_film_reflectance、material_catalog、oren_nayar、brdf_microfacet、metallic_flake_normals、corrosion_mask、cooc_feature_matrix、gabor、vol_granulometry、entropy_image、material_table、material_optical_constants、material_transmittance、thermo_optic_coefficient、phase_fractions、scherrer_sizeThis cluster addresses the design, fabrication, and application of haptic and sensory devices that simulate tactile feedback through pressure, vibration, and skin stimulation.
tac_contact_mask(接触域、image → region)、tac_pressure_proxy(圧力の代理量、image → image)、tac_shear_field(ずれ場、image → image)、tac_surface_normal(接触面の法線、image → image)、tac_height_from_shading(陰影からの高さ、image → image)、hertz_force(Hertz 接触の力と押し込み(閉形式)、scalar × scalar → scalar)、ほか 7 個: contact_radius_fit、mindlin_partial_slip、marker_track、membrane_shear_field、torque_decompose、gradient_lut_invert、large_deformation_inverseThis cluster covers the design, fabrication, and integration of tactile and force-sensing technologies for robotic systems, including flexible sensors, artificial skin systems, and haptic feedback mechanisms.
calibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、ほか 25 個: normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smooth、tac_contact_mask、tac_pressure_proxy、tac_shear_field、tac_surface_normal、tac_height_from_shading、hertz_force、contact_radius_fit、mindlin_partial_slip、marker_track、membrane_shear_field、torque_decompose、gradient_lut_invert、large_deformation_inverseThis cluster covers the design, development, and application of tactile sensors and electronic skin (e-skin) technologies that can detect mechanical stimuli, pressure, and touch.
calibration_views(校正板の合成ビュー、table → table)、distortion_map(歪みの地図、table → table)、pnp_ransac(外部パラメータ、points × keypoints → pose)、bundle_adjust(多視点の同時最適化、pose × points → table)、project_spherical(LiDAR の球面投影、points → image2d)、depth_to_points(深度 → 点群、depth → points)、ほか 25 個: normals_from_depth、dtof_depth、fmcw_range_profile、range_doppler_map、lf_depth_from_focus、photon_uncertainty、spad_deadtime_correct、emva_photon_transfer、emva_quantum_efficiency、silicon_photodiode_qe、spectral_integral、kalman_smooth、tac_contact_mask、tac_pressure_proxy、tac_shear_field、tac_surface_normal、tac_height_from_shading、hertz_force、contact_radius_fit、mindlin_partial_slip、marker_track、membrane_shear_field、torque_decompose、gradient_lut_invert、large_deformation_inverseThis cluster covers the design, fabrication, and application of soft artificial muscles—deformable actuators that mimic biological muscle function through various actuation mechanisms.
tac_contact_mask(接触域、image → region)、tac_pressure_proxy(圧力の代理量、image → image)、tac_shear_field(ずれ場、image → image)、tac_surface_normal(接触面の法線、image → image)、tac_height_from_shading(陰影からの高さ、image → image)、hertz_force(Hertz 接触の力と押し込み(閉形式)、scalar × scalar → scalar)、ほか 7 個: contact_radius_fit、mindlin_partial_slip、marker_track、membrane_shear_field、torque_decompose、gradient_lut_invert、large_deformation_inverseThis cluster covers haptic and tactile technologies that enable touch sensation and feedback in human-machine interfaces, virtual/augmented reality systems, and robotic applications.
tac_contact_mask(接触域、image → region)、tac_pressure_proxy(圧力の代理量、image → image)、tac_shear_field(ずれ場、image → image)、tac_surface_normal(接触面の法線、image → image)、tac_height_from_shading(陰影からの高さ、image → image)、hertz_force(Hertz 接触の力と押し込み(閉形式)、scalar × scalar → scalar)、ほか 7 個: contact_radius_fit、mindlin_partial_slip、marker_track、membrane_shear_field、torque_decompose、gradient_lut_invert、large_deformation_inverseThis cluster covers soft robotics and robotic systems that utilize flexible, compliant materials and advanced actuation mechanisms.
tac_contact_mask(接触域、image → region)、tac_pressure_proxy(圧力の代理量、image → image)、tac_shear_field(ずれ場、image → image)、tac_surface_normal(接触面の法線、image → image)、tac_height_from_shading(陰影からの高さ、image → image)、hertz_force(Hertz 接触の力と押し込み(閉形式)、scalar × scalar → scalar)、ほか 24 個: contact_radius_fit、mindlin_partial_slip、marker_track、membrane_shear_field、torque_decompose、gradient_lut_invert、large_deformation_inverse、pnp_ransac、dlt_pose、reprojection_error、optimize_pose_graph、relative_pose、register_cpd_rigid、icp_point2plane、estimate_flow、segment_rigid_motions、fit_rigid、peg_offset_from_rgbd、hole_centre_from_rgbd、jamming_diagram、insertion_failure_classify、spiral_search_points、slip_predict、dem_slopeこの文献層で「使う op」に挙がった op と、それが出たクラスタ(上位 › 葉)。op から「どの知識の文脈で使うか」を引く。
| op | 出たクラスタ |
|---|---|
abbe_number |
event / time / network |
acoustic_layer_stack |
power / battery / gate; analysis / abstract / review |
ae_band_power |
piezoelectric / control / actuators; analysis / abstract / review |
angle_between_planes |
analysis / abstract / review; inertial / navigation / calibration |
angular_resample |
motor / control / electric; piezoelectric / control / actuators; analysis / abstract / review; rehabilitation / robot / control; soft / materials / tactile |
angular_spectrum_propagate |
power / battery / gate; analysis / abstract / review |
annotate3d_measure |
analysis / abstract / review; inertial / navigation / calibration |
anomaly_pro |
event / time / network |
area_center |
analysis / abstract / review |
auto_threshold |
event / time / network |
azimuthal_integrate |
piezoelectric / control / actuators |
band_snr |
motor / control / electric; piezoelectric / control / actuators; analysis / abstract / review; rehabilitation / robot / control; soft / materials / tactile |
beam_hardening_correct |
power / battery / gate; analysis / abstract / review |
beamform_delay_sum |
power / battery / gate; analysis / abstract / review |
bearing_defect_frequencies |
piezoelectric / control / actuators; analysis / abstract / review |
blob_count |
analysis / abstract / review; event / time / network |
blob_features |
event / time / network |
brdf_microfacet |
piezoelectric / control / actuators; soft / materials / tactile |
bundle_adjust |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
calibration_views |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
canny |
rehabilitation / robot / control |
cepstrum |
piezoelectric / control / actuators; analysis / abstract / review |
check_difference |
event / time / network |
cif_read |
piezoelectric / control / actuators |
circularity |
event / time / network |
contact_radius_fit |
soft / materials / tactile |
cooc_feature_matrix |
piezoelectric / control / actuators; soft / materials / tactile |
corrosion_mask |
piezoelectric / control / actuators; soft / materials / tactile |
d2_distribution |
piezoelectric / control / actuators |
dc_local_contrast_norm |
event / time / network |
dc_rpca_sparse |
event / time / network |
debye_ring_image |
piezoelectric / control / actuators |
decimate_qem |
piezoelectric / control / actuators |
defect_contrast |
event / time / network |
dem_slope |
rehabilitation / robot / control; soft / materials / tactile |
depth_of_field |
event / time / network |
depth_to_points |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
detector_calibrate |
piezoelectric / control / actuators |
diffraction_peaks |
piezoelectric / control / actuators |
displacement_series |
motor / control / electric; piezoelectric / control / actuators; analysis / abstract / review; rehabilitation / robot / control; soft / materials / tactile |
distance_point_plane |
analysis / abstract / review; inertial / navigation / calibration |
distance_ridge |
rehabilitation / robot / control |
distortion_map |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
dlt_pose |
rehabilitation / robot / control; soft / materials / tactile |
dtof_depth |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
echo_phase_polarity |
power / battery / gate; analysis / abstract / review |
edges_sub_pix |
analysis / abstract / review; inertial / navigation / calibration |
emva_photon_transfer |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
emva_quantum_efficiency |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
entropy_image |
piezoelectric / control / actuators; soft / materials / tactile |
envelope_spectrum |
piezoelectric / control / actuators; analysis / abstract / review |
estimate_flow |
rehabilitation / robot / control; soft / materials / tactile |
evidence_quantile |
analysis / abstract / review |
fbp_volume |
power / battery / gate; analysis / abstract / review |
fiber_bundle_coupling |
event / time / network |
fiber_lp_modes |
event / time / network |
fit_poly_surface |
analysis / abstract / review; inertial / navigation / calibration |
fit_rigid |
rehabilitation / robot / control; soft / materials / tactile |
fmcw_range_profile |
power / battery / gate; analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
focus_sweep_height_video |
analysis / abstract / review |
gabor |
piezoelectric / control / actuators; soft / materials / tactile |
gcc_delay |
power / battery / gate; analysis / abstract / review |
gradient_lut_invert |
soft / materials / tactile |
hertz_force |
soft / materials / tactile |
hessian3d |
rehabilitation / robot / control |
hole_centre_from_rgbd |
rehabilitation / robot / control; soft / materials / tactile |
icp_point2plane |
rehabilitation / robot / control; soft / materials / tactile |
illumination_design |
event / time / network |
illumination_uniformity |
event / time / network |
insertion_failure_classify |
rehabilitation / robot / control; soft / materials / tactile |
jamming_diagram |
rehabilitation / robot / control; soft / materials / tactile |
kalman_smooth |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
large_deformation_inverse |
soft / materials / tactile |
lens_system |
event / time / network |
lf_depth_from_focus |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
lighting_sweep |
event / time / network |
m1_measure_pairs |
analysis / abstract / review; inertial / navigation / calibration |
m1_measure_pos |
analysis / abstract / review; inertial / navigation / calibration |
marker_track |
soft / materials / tactile |
matched_filter_snr |
power / battery / gate; analysis / abstract / review |
material_catalog |
piezoelectric / control / actuators; soft / materials / tactile |
material_dispersion |
event / time / network |
material_optical_constants |
piezoelectric / control / actuators; soft / materials / tactile |
material_table |
piezoelectric / control / actuators; soft / materials / tactile |
material_transmittance |
piezoelectric / control / actuators; soft / materials / tactile |
measure_pairs |
analysis / abstract / review; inertial / navigation / calibration |
measure_pos |
analysis / abstract / review; inertial / navigation / calibration |
membrane_shear_field |
soft / materials / tactile |
mesh_area |
piezoelectric / control / actuators |
mesh_isotropic_remesh |
piezoelectric / control / actuators |
mesh_sample_points |
piezoelectric / control / actuators |
mesh_to_voxel |
piezoelectric / control / actuators |
mesh_volume |
piezoelectric / control / actuators |
metal_trace_interpolate |
power / battery / gate; analysis / abstract / review |
metallic_flake_normals |
piezoelectric / control / actuators; soft / materials / tactile |
mindlin_partial_slip |
soft / materials / tactile |
motion_magnify |
piezoelectric / control / actuators; analysis / abstract / review; rehabilitation / robot / control |
mtf_diffraction |
event / time / network |
music_doa |
power / battery / gate; analysis / abstract / review |
normals_from_depth |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
null_distribution |
analysis / abstract / review |
optimize_pose_graph |
rehabilitation / robot / control; soft / materials / tactile |
order_spectrum |
motor / control / electric; piezoelectric / control / actuators; analysis / abstract / review; rehabilitation / robot / control; soft / materials / tactile |
oren_nayar |
piezoelectric / control / actuators; soft / materials / tactile |
paraxial_trace |
event / time / network |
peg_offset_from_rgbd |
rehabilitation / robot / control; soft / materials / tactile |
phase_displacement |
motor / control / electric; piezoelectric / control / actuators; analysis / abstract / review; rehabilitation / robot / control; soft / materials / tactile |
phase_fractions |
piezoelectric / control / actuators; soft / materials / tactile |
photon_sample |
event / time / network |
photon_uncertainty |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
piv_multipass |
motor / control / electric; piezoelectric / control / actuators; analysis / abstract / review; rehabilitation / robot / control; soft / materials / tactile |
pnp_ransac |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
pod_ahat_fit |
analysis / abstract / review |
pod_decision_tradeoff |
analysis / abstract / review |
pod_hitmiss_fit |
event / time / network |
procrustes_distance |
piezoelectric / control / actuators |
profile_deviation |
analysis / abstract / review; inertial / navigation / calibration |
profile_params |
analysis / abstract / review; inertial / navigation / calibration |
profile_thickness |
analysis / abstract / review; inertial / navigation / calibration |
project_spherical |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
pulse_echo_ascan |
power / battery / gate; analysis / abstract / review |
range_doppler_map |
power / battery / gate; analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
ransac_plane |
analysis / abstract / review; inertial / navigation / calibration |
register_cpd_rigid |
rehabilitation / robot / control; soft / materials / tactile |
relative_pose |
rehabilitation / robot / control; soft / materials / tactile |
render_through_lens |
event / time / network |
reprojection_error |
rehabilitation / robot / control; soft / materials / tactile |
riesz_displacement_series |
motor / control / electric; piezoelectric / control / actuators; analysis / abstract / review; rehabilitation / robot / control; soft / materials / tactile |
scherrer_size |
piezoelectric / control / actuators; soft / materials / tactile |
segment_rigid_motions |
rehabilitation / robot / control; soft / materials / tactile |
separate_direct_global |
event / time / network |
separate_touching |
event / time / network |
sfp_normals |
event / time / network |
shape_index |
piezoelectric / control / actuators |
shape_pca |
piezoelectric / control / actuators |
silicon_photodiode_qe |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
simcal_discrepancy |
inertial / navigation / calibration; rehabilitation / robot / control |
simcal_fit |
inertial / navigation / calibration; rehabilitation / robot / control |
simcal_identifiability |
inertial / navigation / calibration; rehabilitation / robot / control |
simcal_model |
inertial / navigation / calibration; rehabilitation / robot / control |
simcal_observe |
inertial / navigation / calibration; rehabilitation / robot / control |
simcal_report |
inertial / navigation / calibration; rehabilitation / robot / control |
simcal_screen |
inertial / navigation / calibration; rehabilitation / robot / control |
simcal_simulate |
inertial / navigation / calibration; rehabilitation / robot / control |
simcal_uncertainty |
inertial / navigation / calibration; rehabilitation / robot / control |
simcal_validate |
inertial / navigation / calibration; rehabilitation / robot / control |
slip_predict |
rehabilitation / robot / control; soft / materials / tactile |
solid_angle_boundaries |
event / time / network |
solid_angle_brightness |
event / time / network |
solid_angle_light |
event / time / network |
solid_angle_render |
event / time / network |
solid_angle_sweep |
event / time / network |
spad_deadtime_correct |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
spc_capability |
analysis / abstract / review |
spc_ewma |
piezoelectric / control / actuators; analysis / abstract / review |
spectral_integral |
analysis / abstract / review; inertial / navigation / calibration; event / time / network; rehabilitation / robot / control; soft / materials / tactile |
spectral_kurtosis |
piezoelectric / control / actuators; analysis / abstract / review |
spectrum_to_srgb |
piezoelectric / control / actuators; event / time / network; soft / materials / tactile |
spiral_search_points |
rehabilitation / robot / control; soft / materials / tactile |
stft |
power / battery / gate; piezoelectric / control / actuators; analysis / abstract / review |
strain_from_displacement |
rehabilitation / robot / control |
surface_form_error |
analysis / abstract / review; inertial / navigation / calibration |
surface_params |
analysis / abstract / review; inertial / navigation / calibration |
tac_contact_mask |
soft / materials / tactile |
tac_height_from_shading |
soft / materials / tactile |
tac_pressure_proxy |
soft / materials / tactile |
tac_shear_field |
soft / materials / tactile |
tac_surface_normal |
soft / materials / tactile |
tcspc_stats |
event / time / network |
temporal_band_power |
motor / control / electric; piezoelectric / control / actuators; analysis / abstract / review; rehabilitation / robot / control; soft / materials / tactile |
temporal_bandpass |
analysis / abstract / review; event / time / network |
thermo_optic_coefficient |
piezoelectric / control / actuators; soft / materials / tactile |
thin_film_reflectance |
piezoelectric / control / actuators; soft / materials / tactile |
torque_decompose |
soft / materials / tactile |
varmodel_fit |
event / time / network |
varmodel_score |
event / time / network |
vertex_curvature |
piezoelectric / control / actuators |
video_spacetime_cube |
analysis / abstract / review; event / time / network |
video_summary_keyframes |
analysis / abstract / review |
vol_frangi |
rehabilitation / robot / control |
vol_granulometry |
piezoelectric / control / actuators; soft / materials / tactile |
vol_label |
power / battery / gate; analysis / abstract / review |
vol_region_props |
power / battery / gate; analysis / abstract / review |
vol_wall_thickness |
power / battery / gate; analysis / abstract / review |
volseq_magnify_motion |
analysis / abstract / review |