Intelligent energy saving measurement method and realization of power grid based on IoT by Dapin ZHANG, Qinghai OU, Yeshen HE, Yiying ZHANG

“…Power grid energy saving engineering,especially transmission and transformation related projects,is an important link of energy saving.The energy saving measurement methods of the main links of transmission and transformation were summarized,including IPMVP method and general energy saving measurement method in China.At the same time,by using the technology of IoT and fusion of relevant algorithms,the efficiency of measuring equipment can be improved,and the energy saving can be measured in a timely and accurate way.The calculation and measurement methods of energy saving were illustrated by an example,which provided a theoretical basis for energy saving measurement in power grid enterprises.…”
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AIRBORNE INTERFEROMETRIC SYNTHETIC APERTURE RADAR by E. E. Nechaev, K. S. Deryabin

“…It gives a description and the main characteristics of some airborne interferometric SAR systems. …”
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Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms by YU Fenghua, XU Tongyu, GUO Zhonghui, BAI Juchi, XIANG Shuang, GUO Sien, JIN Zhongyu, LI Shilong, WANG Shikuan, LIU Meihan, HUI Yinxuan

“…Rice yield estimation technology is mainly used to predict yield by combining multi-source data and algorithms, but there are still problems such as the difficulty of integrating multi-source data, which requires further research. …”
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Integrated Fusion Network for Hyperspectral, Multispectral and Panchromatic Data Fusion by Jinyin Pan, Shidong Wang, Huachao Li, Zhanliang Yuan, Binbin Yuan, Jinyan Peng, Yuanyuan Liu

“…The fusion of traditional HSI mainly involves the fusion of HSI with MSI or PAN. …”
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EEG-Based Sleep Stage Classification via Neural Architecture Search by Gangwei Kong, Chang Li, Hu Peng, Zhihui Han, Heyuan Qiao

“…The experimental results show that the proposed NAS algorithm provides some reference for the subsequent automatic design of networks for sleep classification.…”
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Control Theory and Bayesian Networks for Black Spots Study by Leonardo Flores, Jorge Vargas, Alan Ayala, Jeremy Ramos, Edwin Salas

“…The application of control theory to identify black spots has mainly focused on interstate and inter-regional highways. …”
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Implementation of preamble based GFDM prototype for robust 5G systems by Yaswanth K.N.G.B, Valluri Sivaprasad, Nittala Noel Anurag Prashanth, Sachin Salunkhe, Miroslav Mahdal, Chakravarthy Gunturu

“…This paper carries out the real‐time implementation of the GFDM system utilizing software‐defined radio (SDR) by emphasizing mainly channel estimation and synchronization. Symbol timing, frequency offset, and channel estimate algorithms are applied using a windowed preamble with two identical halves to satisfy low egress noise requirements. …”
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Impact of foam-mat drying conditions of “Gấc” aril on drying rate and bioactive compounds: Optimization by novel statistical approaches by Nguyen Minh Thuy, Vo Quoc Tien, Tran Ngoc Giau, Hong Van Hao, Vo Quang Minh, Ngo Van Tai

“…This study was conducted to optimize the foam-mat drying conditions to maximize quality [β-carotene and total polyphenol content (TPC)] and drying rate of “Gấc” aril powder by using two novel statistical techniques as Response Surface Methodology (RSM) and Artificial Neural Network (ANN) couple with Genetic Algorithm (GA). During production process, level of egg albumin (EA) used for foaming process and drying temperature mainly influenced the drying rate and content of antioxidant compounds in powder. …”
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Application of Path Planning and Tracking Control Technology in Mower Robots by Lixing Liu, Hongjie Liu, Xu Wang, Jianping Li, Pengfei Wang, Shuteng Liu, Jinxuan Zou, Xin Yang

“…Path planning and tracking is the most basic technology for mowing robots, among which the performance of algorithms has a great impact on their intelligence and efficiency. …”
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Metallographic Spheroidization Rate Classification by Using Deep Learning by Lin Chiu‐Chin, Pei‐Hsuan Chiang, Ke‐Hao Chen, Yu‐Jen Pan, Chung‐Hsien Chen, Wang Yi‐Shun, Jen‐Chun Lee

“…Currently, the determination of the spheroidization rate in metals mainly relies on manual inspection through a microscope. …”
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Thermal Cracking Analysis of Microbial Cemented Sand under Various Strains Based on the DEM by Yang Tang, Guobin Xu, Yue Yan, Dengfeng Fu, Chunlai Qu, Zilong Li, Evance Chaima

“…A precision DEM modelling of MCS, mainly composed of irregular particle modelling and a mesoparameter calibration algorithm, has been proposed for the thermal cracking analysis under various strains (i.e., 1.0‰–3.0‰). …”
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Evaluation of the Genericity of an Adaptive Optimal Control Approach to Optimize Membrane Filtration Systems by Aymen Chaaben, Fatma Ellouze, Nihel Ben Amar, Alain Rapaport, Marc Heran, Jérôme Harmand

“…Compared to conventional fixed-time modes, the AOC led to significant energy savings, ranging from 7% to 30%, and membrane lifespan extension, mainly through more efficient permeate pump usage.…”
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Real‐time implementation for vulnerability of power components under switching attack based on sliding mode by Seema Yadav, Nand Kishor, Shubhi Purwar, Saikat Chakrabarti, Petra Raussi, Avinash Kumar

“…The sliding surface‐based SA algorithm developed in MATLAB is launched from another computer.…”
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MCCA-VNet: A Vit-Based Deep Learning Approach for Micro-Expression Recognition Based on Facial Coding by Dehao Zhang, Tao Zhang, Haijiang Sun, Yanhui Tang, Qiaoyuan Liu

“…In the past few years, deep learning methods based on optical flow and Transformer have achieved excellent results in this field, but most of the current algorithms are mainly concentrated on establishing a serialized token through the self-attention model, and they do not take into account the spatial relationship between facial landmarks. …”
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Spatio-Temporal Characteristics of the Morphological Development of Gully Erosion on the Chinese Loess Plateau by Jinfei Hu, Yifan He, Keyao Huang, Pengfei Li, Shugang Li, Lu Yan, Bingzhe Tang

“…Horizontal development mainly manifested as a widening of the alcove caused by the hydraulic erosion of the gully wall. …”
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Statistical and neural network assessment of the climatology of fog and mist at Pula Airport in Croatia by M. Zoldoš, M. Zoldoš, T. Džoić, J. Jurković, F. Matić, S. Jambrošić, I. Ljuština, M. Telišman Prtenjak

“…This analysis showed a decrease in synoptic patterns favorable for fog and mist. Fog occurs mainly between October and March and is primarily associated with weak westerly and northwesterly winds. …”
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Layered energy equalization structure for series battery pack based on multiple optimal matching by Jianfang Jiao, Hongwei Wang, Feng Gao, Serdar Coskun, Guang Wang, Jiale Xie, Fei Feng

“…The equalization management system is an essential guarantee for the safe, stable, and efficient operation of the power battery pack, mainly composed of the topology of the equalization circuit and the corresponding control strategy. …”
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Environmental issues of lighting and prospects of energysaving LED lighting systems with combined power supply by Yuriy Kolomzarov, Vitaliy Kostylyov, Viktor Sorokin, Yurii Nikolaenko, Demyd Pekur, Vasyl Kornaga, Roman Korkishko

“…At the same time, LED lighting systems for residential and industrial buildings are usually powered by electricity generated mainly by thermal power plants. Such plants mostly use fossil fuels and their combustion leads to environmental pollution. …”
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Adaptive control for vehicle formation movement with multiple sensors by TANG Mingzhu, XIANG Guoliang, SHI Hongwei, GUO Shenghui

“…The adaptive motion algorithm based on predetermined motion trajectories is studied in this paper, addressing the problem of vehicle formation with multiple sensors. …”
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WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

“…While applying learning techniques to intrusion detection, researchers are facing challenges mainly due to the imbalanced training sets and the high dimensionality of datasets, resulting from the scarcity of attack data and longer training periods, respectively. …”
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