RFID based clinic presence system as an effective attendance monitoring solution by Saksena Ilham Sidik, Ashari Imam Ahmad, Al-Hakim Rosyid Ridlo

“…Untuk memastikan bahwa sistem berfungsi dengan baik, sebuah sensor RFID dan ESP8266 microcontroller adalah komponen penting. …”
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A novel multivariate time series dataset of outdoor sport activities by Matarmaa Jarno

“…Furthermore, activity filtering was implemented for missing sensor value data and using domain knowledge of sport categories. …”
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Analysis and Comparison of Methods for Determining Small Piles of Wood Chips Using Laser Scanning Technology by Miloš Gejdoš, Martin Lieskovský, Michal Ferenčík

“…The smart solutions selected for laser scanning of forest biomass in this study were the Stonex Geoslam X120 GO handheld laser scanner and the iPhone 14 Pro Max equipped with a LiDAR sensor. The results were influenced by the selected conversion coefficient and the exclusion of small scattered fragments of forest chips around the piles, which were not included in the final volume calculation. …”
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A METHOD FOR MONITORING RICE SEED LOSS BASED ON WOA-BP ALGORITHM by Jin Chen, Ting Shi, Yaoming Li, Yahui Zhu, Caoyuan Niu

“…The loss rate monitoring device consisted of a piezoelectric ceramic sensor module, charge amplification circuit, band-pass filter circuit, analog-to-digital (AD) converter, main control unit, etc. …”
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Digital twins in the building sector: Implementation and key features by Lemian Diana, Bode Florin

“…Digital Twin (DT) technology offers a promising approach by creating virtual replicas of physical buildings, enabling real-time monitoring, simulation, and optimization of building performance. By integrating sensor data and Building Information Models (BIM), DTs provide comprehensive insights into energy usage, fault detection, predictive maintenance, and operational efficiency. …”
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Drone Landing and Reinforcement Learning: State-of-Art, Challenges and Opportunities by Jose Amendola, Linga Reddy Cenkeramaddi, Ajit Jha

“…The comprehensive analysis performed on reviewed works revealed that there are important untackled challenges when it comes to wind disturbances, unpredictability of moving landing targets, sensor latency, and sim-to-real gap. Finally, we present our critical analysis of how recent state-of-the-art deep learning concepts can be combined with reinforcement learning to leverage the latter in addressing the open gaps in future works.…”
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Random Target Localization for an Upper Limb Prosthesis by Xinglei Zhang, Binghui Fan, Chuanjiang Wang, Xiaolin Cheng, Hongguang Feng, Zhaohui Tian

“…Firstly, an initial localization algorithm (ILA) that uses two 3D attitude sensors and a laser range sensor to detect the target attitude and distance is presented. …”
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An IoT-Based Automatic Vehicle Accident Detection and Visual Situation Reporting System by Shehzad Aslam, Shahid Islam, Natasha Nigar, Sunday Adeola Ajagbe, Matthew O. Adigun

“…To address these challenges, a new Internet of Things (IoT)-based system is proposed that uses on-vehicle sensors to detect and report the accident to rescue operator without any human involvement. …”
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Klasifikasi Aktivitas Manusia Menggunakan Metode Long Short-Term Memory by Latansa Nurry Izza Afida, Fitra Abdurrachman Bachtiar, Imam Cholissodin

“…Namun dataset tersebut memiliki hasil dari ekstraksi fitur keluaran nilai sensor memiliki dimensi yang tinggi. Tingginya dimensi fitur dapat menyebabkan penurunan akurasi, untuk itu pada penelitian ini diusulkan penerapan dataset primer tanpa ekstraksi fitur. …”
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An Energy-Saving Output Feedback Control of Single-Rod Electrohydraulic Servo System with Disturbance Observer by Yunfei Wang, Jiyun Zhao, Haigang Ding, Jiaxiang Man

“…The designed controller only needs a displacement sensor to detect the position of the single-rod cylinder; the other states of the system are estimated by extended state observer (ESO). …”
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Design of bionic prosthetic leg by Aldiansyah Wahyu Pratama, Daryono Daryono, Mulyono Mulyono

“…This bionic leg prosthetic uses an automatic system using an Electromyography (EMG) sensor as a signal picker for the muscles, Arduino Mega 2560 as an input signal processor which is then converted into an output signal and Planetary gear as a knee joint transmission so that the body does not fall forward or backward. …”
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Investigation of improvements to city areas of importance to the implementation of clean water by Feby Milanie

“…Further research is recommended to focus on developing more advanced sensor technologies, deeper studies on NSGA-II implementation, strategies to enhance community involvement, policy analyses that support these efforts, and collaborative models involving government, private sector, and communities. …”
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Advanced sensing strategies for detecting zinc levels and zinc-related biomarkers in cancer pathogenesis by Daniela Vieira, Graziele Cruzado, Edward Harvey, Geraldine Merle

“…Recent advancements in electrochemical sensors have enhanced sensitivity for detecting low concentrations of zinc-related biomarkers present in early-stage cancer. …”
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Experimental Study and Theoretical Verification of Explosion-Proof Performance of Insulated Glass by Jinju Zhang, Xinjian Wang, Liqiong Wang, Pengchong Su

“…In order to analyze the explosion-proof performance of insulated glass quantitatively in conventional buildings, the explosion experiment under different shock wave loads was carried out on the insulated glass, the pressure sensor was used to collect the overpressure value of the explosion shock wave, and the high-speed camera was used to record the breaking process of glass. …”
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Information-Fusion Methods Based Simultaneous Localization and Mapping for Robot Adapting to Search and Rescue Postdisaster Environments by Hongling Wang, Chengjin Zhang, Yong Song, Bao Pang

“…The information-fusion architecture consists of multirobots and multisensors (MAM); multiple robots mount on-board laser range finder (LRF) sensors, localization sonars, gyro odometry, Kinect-sensor, RGB-D camera, and other proprioceptive sensors. …”
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RGBD Scene Flow Estimation with Global Nonrigid and Local Rigid Assumption by Xiuxiu Li, Yanjuan Liu, Haiyan Jin, Lei Cai, Jiangbin Zheng

“…RGBD scene flow has attracted increasing attention in the computer vision with the popularity of depth sensor. To estimate the 3D motion of object accurately, a RGBD scene flow estimation method with global nonrigid and local rigid motion assumption is proposed in this paper. …”
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Multilayered Electroactive Polyaniline-ZnO Modified GCE for Electrochemical Detection of Paracetamol by Samuel Chufamo, Bezabih Kelita, Sintayehu Berhanu, Almaz Kemal, Alemu Lelago

“…Using differential pulse voltammetry, the fabricated PANI/ZnO/GCE electrochemical sensor displays good analytical performance for PC with detection limits of 4 × 10−8 M and a sensitivity of 2.571 mA/1 × 10−8 M with a linear concentration of PC within the range of 1.0 to 7.0 × 10−8 M.…”
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Determining the Impact Bruising of Goji Berry Using a Pendulum Method by Yanwu Jiang, Qingyu Chen, Naishuo Wei

“…In this study, two varieties of goji were used to determine and evaluate fruit bruising using a pendulum impact test, and the impact process was recorded using a high-speed camera and impact force sensor. This study discussed the energy changes during the impact process of fruits and conducted a correlation analysis of the impact energy, absorbed energy, restitution coefficient, impact force, and other indicators, analyzing the changes in each indicator with the falling height. …”
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Research on Prediction Model of Prestress Loss of Anchor Cable in Soil-Rock Dual-Structure Slope by Xuhe Gao, Weiping Tian, Jiachun Li, Hongliang Qi, Zhipei Zhang

“…We relied on the soil-rock dual-structure slope treatment project of section K5 + 220-K5 + 770 of Jiangwen Expressway and monitored the prestress loss of the anchor cable in the slope through the anchor cable meter with built-in vibrating wire sensor. Using regression analysis and segmented modelling methods, we established a comprehensive mathematical improvement model, analyzed the applicability of the improved model, and obtained the error range, 0.04%–8.9%. …”
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A dual-stream model based on PRNU and quaternion RGB for detecting fake faces. by Mohan Hua, Shuangliang Li, Jinwei Wang

“…The PRNU stream extracts the "camera fingerprint" feature by discerning the non-uniform response of the image sensor under varying lighting conditions, thereby encapsulating the overall distribution characteristics of globally manipulated faces. …”
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