2024 IEEE Applied Sensing Conference (APSCON)最新文献

{"title":"Label-Free Sers Detection of Uric Acid Using Silver Functionalized Tio2 Nanorods Based Sers Substrates","authors":"Navami Sunil, Rajesh Unnathpadi, B. Pullithadathil","doi":"10.1109/APSCON60364.2024.10465696","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10465696","url":null,"abstract":"The presence of uric acid in human body fluids is a significant indicator of diseases like gout, preeclampsia, or cardiovascular disease. However, the conventional techniques used for its detection are either insensitive, expensive, complex, and necessitates the use of costly equipment. Surface-Enhanced Raman scattering (SERS) has demonstrated significant superiority in terms of non-invasiveness for trace and ultra-trace detection and serves as a powerful technique for rapid, sensitive, non-destructive, and label-free detection of biomolecules such as uric acid. Herein, silver functionalized TiO2 nanorods were developed as substrate to construct a novel SERS sensor for the sensitive detection of uric acid in body fluids. The sensing material was characterized structurally and morphologically using XRD, SEM and TEM analysis. Finally, the developed sensing material was used for the detection of uric acid at different concentrations within the clinically relevant range from 100 uM to 500 uM, which showed the possibility of the developed substrate to detect uric acid at trace-level concentrations down to 100 uM. This work demonstrated a new approach to develop semiconductor substrates with strong SERS effect paving a new way for low-concentration detection of biomolecules.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"289 11","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530971","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}

{"title":"Textile Moisture Sensors for Estimating Sweat Evaporation Saturation in Fire Protective Clothing","authors":"Severin Bernhart, Jannic Wälde, Otmar Schneider, Thomas Finkenzeller","doi":"10.1109/APSCON60364.2024.10466185","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10466185","url":null,"abstract":"Heat stress is a major problem for firefighters, which can be alleviated to a certain extent by means of special cooling. A moisture-sensing jacket lining under firefighter clothing is presented and correlated with a measure of relative humidity. The critical heat stress trigger point, sweat evaporation saturation, should be identified by the textile moisture sensors. Different sensor locations are compared to identify accurate moisture-sensing positions. The jacket lining was used in a laboratory study with 19 participants performing a sauna stay to increase the body core temperature. Granger causality tests were conducted to evaluate the relative air humidity forecasting based on the measured sweat rate. The resulting F-test p-values revealed that the moisture-sensing fire jacket lining can forecast the relative air humidity and the back region is the most accurate and robust sensor location. In conclusion, the fire jacket lining can detect sweat evaporation saturation time points and can be used as a data source for automated integrative air body cooling systems to avoid heat stress during firefighting operations.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"67 4","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531360","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}

{"title":"Gradient Phase Profiled Reflecting Surface Design for Sectoral Sensing Application","authors":"Amartya Banerjee, Soumya Chakravarty, Ritvika Sonawane, Poornima Surojia, T. Chakravarty, R. Ghatak","doi":"10.1109/APSCON60364.2024.10465926","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10465926","url":null,"abstract":"With the advent of next generation communication technologies catering to high frequency systems for 5G and beyond applications, efficient non-LoS connectivity requirements have become the focal point of research nowadays. In this paper, Metasurface-based gradient phase reflecting structures are shown to act in coordination with the primary source Access Points (APs) like Reconfigurable Intelligent Surface (RIS) ‘Wings’ (in folded/unfolded combinations) to ensure effective distribution/redirection of radiated power for sectoral sensing applications. Using the concept of phase gradient metasurface design with Minkowski unit cells, two novel phase-profiled configurations of reflecting surfaces are presented, namely the Concentric and Symmetric configurations operating at 26.5 GHz. These designs offer distinctly different reflection performances, with anomalous and sectoral reflection properties. Here the incoming conical beam from a primary source radiator is converted to a fan-beam pattern for specific sectoral use, suitable for precision sensing applications. Detailed simulation-based results are reported to highlight the potential of such phase profiled structures as suitable reflecting surfaces with sectoral, directive, and 360-degree manoeuvrable RIS Wing like operations.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"55 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530672","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}

{"title":"Tunable plasmonic refractive index sensor based on enhanced photonic spin Hall effect","authors":"Vinit Kumar, Rupam Srivastava, Anuj K. Sharma, Y. Prajapati","doi":"10.1109/APSCON60364.2024.10465867","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10465867","url":null,"abstract":"The present work presents a novel approach to improve and tune the conventional spin-dependent shift (CSDS) by using the photonic spin Hall effect (PSHE). The phenomenon known as the PSHE arises from the separation of spin states with opposing orientations upon the interaction of light with linear polarization incident on the multilayer structure interface of exhibiting a refractive index gradient. The PSHE may be achieved by using a composite structure of silicon (Si), silver (Ag), and Graphene. In this context, as a plasmonic material, Ag is employed. Si is used to augment the evanescent field in proximity to the contact between the uppermost layer of Graphene and the surrounding air. further, for adjusting the CSDS, graphene is utilized as a polarizer. The highest CSDS of 1215 μm is achieved when the thickness of Si is optimized at 13 nm. This can be accomplished by adjusting the chemical potential (CP) to a value of 1.982 eV for left-hand horizontal polarization. Notably, this magnitude of CSDS is bigger than what has been previously reported studies on the PSHE. A spin-dependent sensitivity (Ssd) of 25158.28 μm/RIU is attained when the CP is about 1.984 eV for refractive index (RI) sensing with a change in RI (△n) of 5 × 10-3. Furthermore, the suggested sensor (namely, structure 3) achieves a more precise limit of detection, with a value of 3.974×10-8 degree.RIU/μm.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"79 2","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531354","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}

{"title":"Predictive Analysis of Market trends in Agriculture using ML/AI Techniques","authors":"Vishwash Tetarwal, K. Dashora, Dharmaraja Selvamuthu","doi":"10.1109/APSCON60364.2024.10465937","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10465937","url":null,"abstract":"The paper aims to predict crop prices to create a system that recommends crop choices, reduces price-related risks, and suggests optimal planting times. This paper approaches the problem of predicting crop prices by employing Time Series Fore-casting with a focus on ARIMA modeling. Our main objectives are to cut down on risks associated with price fluctuations and provide practical decision support for farmers, aiding in optimal crop choices and planting times. Starting with a detailed exploration of agricultural trends, we identify key factors influencing crop prices. We then dive into the application of advanced Time Series Forecasting techniques, specifically ARIMA modeling, to analyze historical monthly data for accurate predictions. The reliability of our models is ensured through thorough checks for stationarity. The paper emphasizes the crucial role of precise price forecasts in effective risk management for farmers. By integrating these insights into decision-making processes, farmers gain the ability to navigate market uncertainties and optimize their agricultural practices.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"274 2","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531009","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}

{"title":"Laser Speckle Contrast Imaging for Plant and Seed Characterization","authors":"Raghunandan G. Kalibhat, Rishikesh Kulkarni, P. Mondal","doi":"10.1109/APSCON60364.2024.10465783","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10465783","url":null,"abstract":"In this paper, we present a new laser speckle contrast analysis algorithm that relies on temporal correlations between speckle images. Our approach involves analyzing consecutive frames from a sequence of speckle images using the proposed algorithm to generate a speckle contrast map. To evaluate its performance, the algorithm is tested on synthetic data with known decorrelation parameters, as well as speckle image sequences obtained from experimental data recorded for plant and seed samples. A comparison with other reported methods demonstrates that our algorithm produces an enhanced contrast map while achieving improved computation performance.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"284 4","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530975","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}

{"title":"Disaggregating Convolutional Analysis Sparse Coding","authors":"A. Majumdar","doi":"10.1109/APSCON60364.2024.10465948","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10465948","url":null,"abstract":"This work proposes a convolutional analysis sparse coding based formulation for energy disaggregation. The resulting technique is shift-invariant and hence can learn to represent different devices through very few filters (compared to sparse coding based disaggregation). Consequently, this is less prone to over-fitting and hence improves disaggregation results. The technique is very fast, owing to closed form updates in the operational stage. Comparison has been carried out with some well known benchmarks on the REDD dataset. Results show that our method yields the most accurate results and is faster than most benchmarks.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"256 2","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531026","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}

{"title":"Towards thalassemia detection using optoelectronic measurements assisted with machine-learning algorithms: a non-invasive, pain-free and blood - free approach towards diagnostics","authors":"Binu Nair, Chinmai Mysorekar, Rajat Srivastava, S. Kale","doi":"10.1109/APSCON60364.2024.10466125","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10466125","url":null,"abstract":"In recent years, the convergence of electronic technology and machine learning has revolutionized healthcare sector which is poised to transform the field of clinical diagnostics. Enhanced accuracy, efficiency, and patient-friendliness for blood parameter estimations could be a boon to the mankind. Through this work we present the optoelectronically, photoplethysmography derived patient’s data for estimation of the hemoglobin levels using a non-invasive technique. The derived data is in good agreement with original complete blood count reports of individuals. Further over 800 complete blood count data obtained from pathological laboratories of various individuals were taken and subjected to machine learning algorithms, with input parameter as hemoglobin to predict hematocrit, mean corpuscular volume, mean corpuscular hemoglobin, erythrocytes count and mean corpuscular hemoglobin concentration with good precision and accuracy. The predictions were correlated with the complete blood count data to estimate the normocytic anemia among patients. Comprehensive analysis, a series of statistical metrics, including mean absolute error, correlation coefficients, and R-squared scores have been used to obtain good accuracy to detect normocytic condition of a patient. Machine learning assisted, non-invasive technology for clinical diagnostics, especially in a very needy zone of thalassemia detection is hence proposed.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"45 3","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531050","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}

{"title":"Resonance-based Sensor for Detection of Nitrogen Oxide (NOₓ)-polluted Water in Industrial Effluents","authors":"Shravani Kale, Vivek Kale, S. Kale","doi":"10.1109/APSCON60364.2024.10465916","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10465916","url":null,"abstract":"Water is a fundamental necessity for human existence. Unfortunately, water quality has been steadily deteriorating due to various pollutants, with industrial contamination being a major contributor. Industrial wastewater often contains hazardous substances among these pollutants, nitrogen-based compounds such as nitrates $mathrm{NO}_{3}{ }^{-}$ and nitrites NO<inf>2</inf> are of particular concern. In this study, we employ Ti<inf>3</inf>C<inf>2</inf>T<inf>x</inf>-Fe<inf>3</inf>O<inf>4</inf> to achieve this objective.Ti<inf>3</inf>C<inf>2</inf>T<inf>x</inf>, a family of two-dimensional layered compounds, has displayed potential in gas sensing applications due to its unique attributes, including a high surface area, strong metallic conductivity, high hydrophilicity, good mechanical properties, and active surface chemistry. The selectivity of NO<inf>2</inf> gas in Ti<inf>3</inf>C<inf>2</inf>T<inf>X</inf> can be further improved with Fe<inf>3</inf>O<inf>4</inf> nanoparticles. Fe<inf>3</inf>O<inf>4</inf> facilitates the electron transfer from NO<inf>2</inf> to $mathrm{NO}_{3}{ }^{-}$, while Ti<inf>3</inf>C<inf>2</inf>T<inf>x</inf> offers ample surface area for this reaction to occur, along with providing additional electrons. The properties are studied as a function of variation of dielectric constant of Ti<inf>3</inf>C<inf>2</inf>T<inf>x</inf>-Fe<inf>3</inf>O<inf>4</inf> with gas interaction. Using our earlier studies, a well optimized complementary slit-ring resonator (CSRR) sensor, operating at 430MHz, was used as a unit cell sensor. Separately, Ti<inf>3</inf>C<inf>2</inf>T<inf>x</inf>-Fe<inf>3</inf>O<inf>4</inf> was exposed to NO<inf>x</inf> (ranging from 0 to 106 ppm), and the resulting NO<inf>x</inf>-purged Ti<inf>3</inf>C<inf>2</inf>T<inf>x</inf>-Fe<inf>3</inf>O<inf>4</inf> composite was later exposed to the CSRR device. As the purged gas concentration changed from 0 to 106 ppm, there was a systematic shift in frequency and power. The maximum power shift was ~ 18.4 dB. The frequency shift gave a sensitivity of 400 KHz / ppm with NO<inf>x</inf>-purged Ti<inf>3</inf>C<inf>2</inf>T<inf>x</inf>-Fe<inf>3</inf>O<inf>4</inf>, which was two times higher than the reference Ti<inf>3</inf>C<inf>2</inf>T<inf>x</inf> system. Thus, a two-stage apparatus for detection of hazardous industrial effluents is presented using a novel Ti<inf>3</inf>C<inf>2</inf>T<inf>x</inf>-Fe<inf>3</inf>O<inf>4</inf> composite system.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"40 7-8","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530935","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}

{"title":"Ultrasonic Strip Waveguide-Based Distributed Sensor for Temperature Monitoring","authors":"Arun Valabhoju","doi":"10.1109/APSCON60364.2024.10466009","DOIUrl":"https://doi.org/10.1109/APSCON60364.2024.10466009","url":null,"abstract":"Ultrasonic waveguide techniques are most familiar to monitor temperatures in the hostile environments. A single waveguide could be used as multiple sensors. In the present work, a thin strip waveguide comprising reflectors (holes) at appropriate gauge length was fabricated, and a shear wave transducer (0.5 MHz) was used in the pulse echo technique to propagate $S_{0}$ wave mode. The strip waveguide was mounted on the pipe to monitor temperatures at various locations. The Difference in flight time $left(delta T_{F}right)$ collected between pair of reflectors was used to correlate with the temperatures measured by calibrated K-type thermocouple at various temperature instances. A set of experiments were carried out to calibrate waveguide sensor. It was observed that the calibrated wave guide sensor and thermocouple readings are good in agreement while measuring the temperatures at multiple locations on a Copper pipe. The developed single strip waveguide sensor for measuring temperatures at multiple locations is easy to use, durable, and affordable. It is suitable to track the temperatures even for difficult to access regions.","PeriodicalId":518961,"journal":{"name":"2024 IEEE Applied Sensing Conference (APSCON)","volume":"12 2","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531345","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}