A Power Case Study for Monocrystalline and Polycrystalline Solar Panels in Bursa City, Turkey by Ayşegül Taşçıoğlu, Onur Taşkın, Ali Vardar

“…The testing sets include solar panels, inverter, multimeter, accumulator, regulator, pyranometer, pyrheliometer, temperature sensor, and datalogger. The efficiency of monocrystalline and polycrystalline solar panels was calculated depending on the climatic data’s measurements. …”
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Cytosolic DNA composition is determined by genomic instability mechanism and regulates dendritic cell-mediated anti-tumor immunity by Shayla R. Mosley, Angie Chen, David N.W. Doell, Siwon Choi, Courtney Mowat, Felix Meier-Stephenson, Vanessa Meier-Stephenson, Kristi Baker

“…Previous investigations identified the cytosolic DNA (cyDNA) sensor STING as necessary for chemokine-mediated T cell recruitment in MSI CRCs. …”
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Scan-to-HBIM: automated transformation of point clouds into 3D BIM models for the digitization and preservation of historic buildings by Pablo Ariel Escudero

“…Three-dimensional digital models of historical buildings must seamlessly integrate a wide array of data from diverse sources, including point clouds, alphanumeric information, 2D and 3D representations, BIM, GIS, images, sensor data, and real-time information streams, among other heterogeneous resources. …”
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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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Network traffic control using traffic shaping techniques by Radojičić Valentina D.Ž., Marković Goran Z., Mitrović Slobodan D.

“…The importance of Traffic Shaping techniques arise with their potential to manage the traffic quality in modern network forms, such as Internet of Things (IoT) sensor networks. This paper explains the basic concept of traffic shaping, available algorithms on which traffic shaping techniques are based and provides a comparison with Traffic Policing techniques.…”
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Laser Ultrasonic System for Surface Crack Visualization in Dissimilar Welds of Control Rod Drive Mechanism Assembly of Nuclear Power Plant by Yun-Shil Choi, Hyomi Jeong, Jung-Ryul Lee

“…A full-scale control rod drive mechanism (CRDM) assembly specimen was fabricated to verify the proposed system. An ultrasonic sensor was contacted at one point of the inner surface of the reactor vessel head part of the CRDM assembly. …”
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Advanced Speed‐and‐current control approach for dynamic electric car modelling by Buddhadeva Sahoo, Sangram Keshari Routray, Pravat Kumar Rout

“…In addition, an improved controller is developed with a different geometrical method using the sensitivity gain of the current sensor and tachometer to assure the optimal performance of the EC. …”
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Investigation of Randomly Populated Cylindrical, Spherical, and Cubical Arrays for Application in Space, Aerial, and Underwater Collaborative Beamforming by Kristopher R. Buchanan, Roanne Manzano-Roth, Annie Lin, Gabriella Loaiza, Meghan Sills, Jin Li, Sara R. Wheeland, Sounak Chakrabarti, Angelica R. Rodriguez, Gregory H. Huff, Mark Patefield, Anthony Jones

“…In addition, these topologies provide mathematical simplicity toward understanding the fundamental research problem of both surface and underwater swarm-based UUV sensor networks, and their constraints to implementing a physical system in a volumetric setting. …”
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Protein Detection with Potentiometric Aptasensors: A Comparative Study between Polyaniline and Single-Walled Carbon Nanotubes Transducers by Ali Düzgün, Hassan Imran, Kalle Levon, F. Xavier Rius

“…These results are in accordance with the higher surface density of the aptamers in the SWCNT potentiometric sensor.…”
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Effect Improved for High-Dimensional and Unbalanced Data Anomaly Detection Model Based on KNN-SMOTE-LSTM by Fuguang Bao, Yongqiang Wu, Zhaogang Li, Yongzhao Li, Lili Liu, Guanyu Chen

“…A significant research issue related to the data analysis of the sensor is the detection of anomalies. The anomaly detection is essentially an unbalanced sequence binary classification. …”
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Service Differentiated and Adaptive CSMA/CA over IEEE 802.15.4 for Cyber-Physical Systems by Feng Xia, Jie Li, Ruonan Hao, Xiangjie Kong, Ruixia Gao

“…In addition, Quality of Service (QoS) provisioning in CPS, especially in the wireless sensor/actuator networks, plays an essential role in Smart Grid applications. …”
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A Fuzzy Interpolation Cross-Correlation Method for Time-Delay Estimation of Partial Discharge UHF Pulse Signals by Bowen Guo, Songyuan Li, Qinghua Tang, Lin Li, Pengfei Li

“…In order to improve the time-delay estimation accuracy of a multielement PD UHF pulse signal sensor array and reduce the cost of the PD detection system, a fuzzy interpolation cross-correlation method for time-delay estimation of PD UHF pulse signals was proposed in this paper. …”
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Green hydrothermal approach for the synthesis of carbon quantum dots from waste tea bags for acrylamide detection in drinking water: A fluorescence assay validated by HPLC-PDA anal... by Nikhil Sharma, Sweezee Thakur, Aarti Bains, Gulden Goksen, Nemat Ali, Mushtaq Ahmad Ansari, Anna Kopsacheili, Charalampos Proestos, Prince Chawla

“…The fluorescence-based sensor exhibited a low limit of detection of 0.35376 ppm, which was validated by HPLC-PDA (LOD 0.300688 ppm). …”
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Semantic‐aware visual consistency network for fused image harmonisation by Huayan Yu, Hai Huang, Yueyan Zhu, Aoran Chen

“…Abstract With a focus on integrated sensing, communication, and computation (ISCC) systems, multiple sensor devices collect information of different objects and upload it to data processing servers for fusion. …”
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Noise Cancellation Method for Mud Pulse Telemetry Based on Discrete Fourier Transform by Jingchen Zhang, Zitong Sha, Xingbin Tu, Zhujun Zhang, Jiang Zhu, Yan Wei, Fengzhong Qu

“…In this paper, a noise cancellation method based on discrete Fourier transform (DFT) is proposed for demodulation under a low signal-to-noise ratio, eliminating the pump noise generated by two pumps with a single sensor during drilling. The method employs DFT to estimate the noise spectrum, subtracts noises from the received signal, and performs an inverse transformation to reconstruct the original signal estimation. …”
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Investigation of Time Series Representations and Similarity Measures for Structural Damage Pattern Recognition by Wenjia Liu, Bo Chen, R. Andrew Swartz

“…This paper investigates the time series representation methods and similarity measures for sensor data feature extraction and structural damage pattern recognition. …”
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IoT in Action: Design and Implementation of a Building Evacuation Service by Selahattin Gokceli, Nikolay Zhmurov, Gunes Karabulut Kurt, Berna Ors

“…With the development of sensor technologies, various application areas have emerged. …”
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Mobility Assistance for Older People by Daniel Eck, Klaus Schilling, Ahmad Abdul-Majeed, Jörn Thielecke, Phillipp Richter, Javier Gutiérrez Boronat, Irina Schens, Bernd Thomas, Bettina Williger, Frieder R. Lang

“…For extended positioning requirements a hybrid positioning system was developed combining GPS, WLAN, and inertial sensor data. By combination of these technical improvements it is demonstrated how older people are able to preserve their self-determined and independent life. …”
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Optimal Vibration Control for Half-Car Suspension on In-Vehicle Networks in Delta Domain by Jing Lei, Shun-Fang Hu, Zuo Jiang, Guo-Xing Shi

“…First, the original suspension system with ECU-actuator delay and sensor-ECU delay is modeled. By using delta operators, the original system is transformed into an associated sampled-data system with time delays in delta domain. …”
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A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing by Frederico de Oliveira Santos, Ivanete Schneider Hahn

“…The main findings show that machinery was the industry subsector with the major implementations regarding machine learning; process improvement is the main concern (interest) of all implementations; random forest was the most specific machine learning technique used; and diverse technologies associated with this context were identified such as: the industrial internet of things, digital twin, sensor technologies (soft, optical, barometric, ultrasonic), software technologies (Python, MATLAB, LabView, Google AutoML Platform) and equipment technologies (robotic, PLC, CNC). …”
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