IEEE Sensors Letters最新文献_第5页

A Novel Approach for Exploring Resolution Tunable Displacement Measurement System by Using Extension Spring and Ultrasonic Sensors 利用拉伸弹簧和超声波传感器探索分辨率可调位移测量系统的新方法

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-10 DOI: 10.1109/LSENS.2025.3540499

Ram Kishore Roy;Nityananda Hazarika;Tulshi Bezboruah

引用次数: 0

Development of Self-Sensing Cantilever Structures Using Additive Manufacturing and Optical Fiber Sensing Technology

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-06 DOI: 10.1109/LSENS.2025.3539980

Robertson Pires-Junior;Leandro Macedo;Anselmo Frizera;Arnaldo Leal-Junior

{"title":"Development of Self-Sensing Cantilever Structures Using Additive Manufacturing and Optical Fiber Sensing Technology","authors":"Robertson Pires-Junior;Leandro Macedo;Anselmo Frizera;Arnaldo Leal-Junior","doi":"10.1109/LSENS.2025.3539980","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3539980","url":null,"abstract":"Fused filament fabrication (FFF) can produce parts that can be integrated with optical fiber sensors to obtain a multifunctional structure. In this study, fibers inscribed with Bragg gratings were incorporated into single cantilever-type accelerometers (fabricated using FFF) from nylon filaments and 17–4 PH to produce structures sensitive to mechanical vibration. The materials were characterized using dynamic mechanical analysis with an optical fiber incorporated into the test specimens, where the nylon specimens presented a transition in elastic modulus until 60 <inline-formula><tex-math>$^{circ }$</tex-math></inline-formula>C and for the 17–4 PH the transition occurred until 180 <inline-formula><tex-math>$^{circ }$</tex-math></inline-formula>C. Linear regressions were used to estimate the sensitivity of the accelerometers, with calculated coefficients of determination (R<sup>2</sup>) greater than 0.97. The 17–4 PH cantilever had a sensitivity to variation in vibration amplitude (which ranged from 0.5 to 2.0 V) of 1.787 pm/V when vibrated at a frequency of 10 Hz and 3.605 pm/V at 100 Hz, while the nylon accelerometer had sensitivities of 83.114 pm/V and 104.385 pm/V at 10 and 100 Hz, respectively. The manufactured accelerometers have the potential to be used as low-frequency vibration sensors and self-sensing cantilevers in diverse environments.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 3","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dielectric-Based Calibration Algorithm for Rapid and Nondestructive Determination of Multiple Quality Attributes of In-Shell Nuts

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-06 DOI: 10.1109/LSENS.2025.3539583

Samir Trabelsi;Micah A. Lewis

引用次数: 0

No-Reference Laparoscopic Video Quality Assessment for Sensor Distortions Using Optimized Long Short-Term Memory Framework

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-05 DOI: 10.1109/LSENS.2025.3539186

Sria Biswas;Rohini Palanisamy

{"title":"No-Reference Laparoscopic Video Quality Assessment for Sensor Distortions Using Optimized Long Short-Term Memory Framework","authors":"Sria Biswas;Rohini Palanisamy","doi":"10.1109/LSENS.2025.3539186","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3539186","url":null,"abstract":"Laparoscopic surgery relies on sensor-based video systems vulnerable to visual distortions, requiring rigorous quality checks to meet regulatory standards. This letter introduces a no-reference laparoscopic video quality assessment algorithm designed to replicate human perceptual judgments in the presence of sensor distortions. The method models the statistical interdependencies between luminance and motion features and combines them with texture variations to formulate a perceptually relevant feature vector. This is used as input to train a memory-retentive deep learning model optimized by chaotic maps to predict frame quality scores which are utilized to evaluate the overall video quality. Performance comparisons with state-of-the-art methods show that the proposed model aligns closely with both expert and nonexpert subjective ratings, with experts achieving higher accuracy. Ablation studies further emphasize the effectiveness of the selected feature combinations and regression frameworks, demonstrating the capability of the model to replicate human opinions. These findings highlight the potential of the proposed method as a reliable tool for automating quality assessment in sensor-based laparoscopic systems to ensure high standards in clinical applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 4","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Harnessing Haptic Technology for Real-Time Emotion Detection

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-05 DOI: 10.1109/LSENS.2025.3538804

Lital Levy;Yuval Blum;Asmare Ambaw;Roi Yozevitch;Eldad Holdengreber

引用次数: 0

uThaw: Ultra-Wideband Wireless Solid–Liquid State Transition Sensor to Detect Thawing of Food

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-31 DOI: 10.1109/LSENS.2025.3537922

Rahul Bulusu;Ashutosh Dhekne

引用次数: 0

Ball Trajectory and Spin Analysis From Asynchronous Videos 从异步视频分析球的轨迹和旋转

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-31 DOI: 10.1109/LSENS.2025.3537116

Aakanksha;Ashish Kumar;Rajagopalan A. N.

引用次数: 0

Significance of CLPSO-Based Dataset in Self-Supervised Lightweight ANN for Estimating Highly Intelligible Microphone Sensor Location

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-30 DOI: 10.1109/LSENS.2025.3534471

Ritujoy Biswas;Diksha Bhat;Karan Nathwani

引用次数: 0

A Simple Circuit for Time-Resolved Luminescence (TRL) Measurement Instruments: Demonstration Through a Smartphone-Based TRL Imager for Anticounterfeiting Application

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-29 DOI: 10.1109/LSENS.2025.3535901

Alim Gulbag;Michael Huang;Brian Rong;Benjamin Sreenan;Xiaoshan Zhu

{"title":"A Simple Circuit for Time-Resolved Luminescence (TRL) Measurement Instruments: Demonstration Through a Smartphone-Based TRL Imager for Anticounterfeiting Application","authors":"Alim Gulbag;Michael Huang;Brian Rong;Benjamin Sreenan;Xiaoshan Zhu","doi":"10.1109/LSENS.2025.3535901","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3535901","url":null,"abstract":"Time-resolved luminescence (TRL) measurement is a sensitive detection technique by eliminating sample autofluorescence, but TRL measurement instruments composed of multiple key components (e.g., a rapidly pulsed light excitation source, a time-gated optical detector, and a synchronization module aligning the timing between the light source and the detector) have been sophisticated, expensive, or bulky, which limits their point-of-care or in-field applications. To reduce the cost and complexity of these instruments, in this letter, we developed a simple circuit for rapid LED pulsing and accurate timing synchronization and implemented it in a compact TRL imager with a ultraviolet light emitting diode (UV LED) as a light source and a chopper-coupled smartphone camera as a time-gated optical detector. The TRL measurement of this imager using this circuit was successfully validated through an anticounterfeiting application. We believe that this simple circuit can be adopted in the development of low-cost and compact TRL measurement instruments for broad point-of-care or in-field applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 3","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143446329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Room Temperature Printed Ethanol Sensor Based on P-Phenylenediamine Functionalized Graphene Oxide

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-28 DOI: 10.1109/LSENS.2025.3535770

Reena Dey;Thomas T. Daniel;Emlin Elsa Abraham;Vimal Kumar Singh Yadav;Roy Paily

引用次数: 0