Temperature Prediction of Photovoltaic Panels Based on Support Vector Machine with Pigeon-Inspired Optimization by Siyuan Fan, Shengxian Cao, Yanhui Zhang

“…The output stability of the photovoltaic (PV) system is directly affected by temperature change of PV panels. …”
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Spatial Dynamic Wideband Modeling of the MIMO Satellite-to-Earth Channel by Andreas Lehner, Alexander Steingaß

“…A novel MIMO (multiple input multiple output) satellite channel model that allows the generation of associated channel impulse response (CIR) time series depending on the movement profile of a land mobile terminal is presented in this paper. …”
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Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network by Xia Yuan, Xiaohua Hao, Xuewen Song, Jianli Zhang, Gang An

“…The maximum meshing force and dynamic load coefficient are calculated on the prediction results， and the meshing force is proportional to the difference between speed ratio and output torque ratio minus 1， and the dynamic load coefficient on the low-speed side is greater than that on the high-speed side， which can be expressed as a multiple or reciprocal multiple relationship. …”
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Optical frequency combs for optical fiber communications by Leif Katsuo Oxenløwe

“…The challenge is their limited output power and, hence, the need for amplification, which limits the initial signal-to-noise ratio and, hence, the data capacity they can support. …”
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Design, Modeling, and Simulation of Two-Piece Trapezoidal Piezoelectric Devices for Sensing and Energy Harvesting by Nan Chen, Vishwas Bedekar

“…The authors believe that these results could help design a piezoelectric energy harvester to provide local energy source which provides high electric power output.…”
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Design and experimental characterization of a 350 W High Temperature PEM fuel cell stack by N. Zuliani

“…Performance curves refer to the stack operating with two type of fuels: pure hydrogen and a gas mixture simulating a typical steam reformer output. The stack voltage distribution analysis and the stack temperature distribution analysis suggest that cathode air could be used as coolant leading to a better thermal management. …”
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BEP/SEP and Outage Performance Analysis of 𝐿-Branch Maximal-Ratio Combiner for 𝜅-𝜇 Fading by Mirza Milišić, Mirza Hamza, Mesud Hadžialić

“…We will also present PDF, CDF, and outage probability of the L-branch MRC output. BEP/SEP will be evaluated for broad class of modulation types and for coherent and noncoherent types of detection. …”
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Design and Optimization of LTE 1800 MIMO Antenna by Huey Shin Wong, Mohammad Tariqul Islam, Salehin Kibria

“…A multiple input and multiple output (MIMO) antenna that comprises a printed microstrip antenna and a printed double-L sleeve monopole antenna for LTE 1800 wireless application is presented. …”
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Application of Deep Support Vector Machine in Gear Fault Diagnosis by Lei Yu, Sen Chen, Rui Zhang, Ke Li, Lei Su

“…The hidden layer of the SVM trains on the new sample, and it extracts and learns the deep features of the signal layer by layer, eventually, it outputs the diagnostic results on the output layer. …”
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Robust Model Predictive Control Schemes for Tracking Setpoints by Vu Trieu Minh, Fakhruldin Bin Mohd Hashim

“…The novel tracking setpoint RMPC schemes are able to stabilize uncertain systems once the output setpoints lead to the violation of the state constraints. …”
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Spécificité de la problématisation scientifique : le travail d’abstraction et de généralisation by Christian Orange

“…C’est donc un document de travail qui mériterait un peu partout des explicitations que je ne suis pas encore tout à fait en mesure de fournir. …”
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Adaptive Dual-Polarization Filtering Method for Countering Active Jamming by Qiang Zhang, Rui Zhou, Xianbo Shi, Yixin Zhao

“…Finally, the specific polarization filtering algorithm and the output criterion of the optimal filtering results are given. …”
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An overview of the CSI feedback based on deep learning for massive MIMO systems by Muhan CHEN, Jiajia GUO, Xiao LI, Shi JIN

“…The massive multiple-input multiple-output (MIMO) technology is considered to be one of the core technologies of the next generation communication system.To fully utilize the potential gains of MIMO systems,the base station should accurately acquire the channel state information (CSI).Due to the significant increase in the number of antennas,the traditional feedback schemes based on the codebook or vector quantization are faced with great technical challenges.Recently,deep learning (DL) has provided a new idea for solving CSI feedback problems in massive MIMO systems.It was focused on the key technologies of the CSI feedback for massive MIMO systems.Firstly,the background and significance of the CSI feedback were expounded.Then,a model for the massive MIMO system was established and the sparse nature of CSI was analyzed.Several schemes of introducing DL into the CSI feedback mechanism were introduced and compared in detail.Finally,a further prospect on the development trend of the CSI feedback based on DL was made.…”
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MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK by VALENTIN STOYANOV, IVAYLO STOYANOV, TEODOR ILIEV

“…In the artificial neural network (ANN), latitude, day of the year, slope, surface azimuth and average daily radiation on horizontal surface are inputs, and average daily radiation on tilted surface of definite orientation is output. The possible ANN structure, the size of training data set, the number of hidden neurons, and the type of training algorithms were analyzed in order to identify the most appropriate model. …”
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Identifying Interindustry CO2 Emissions Transfer Structure Using Network Methods by Xiaozhen Chen, Wenwen Xiao

“…This paper proposes an input-output-based methodology to measure CO2 emissions transfer caused by linkages between industries in an economy and constructs the network topology in terms of the remarkable coefficients of interindustry CO2 emissions transfer. …”
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The effect of teacher teaching, learning methods and students’ perceptions on the student's learning achievement in Medan city by Limega Candrasa, Cia Cai Cen

“…Learning achievement is something that cannot be separated from learning activities because learning achievement is the output of the learning process. Student achievement is influenced by two main factors, namely factors from within the student (Internal) and factors originating from outside the student or the environment (External). …”
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Precise deployment scheme of 10G PON based on different scenarios by Yin LIN, Xiaoxia QIN, Guodong WANG, Shutian WEI

“…At present, with the rapid development of gigabit broadband users and gigabit applications, each communication operation has begun to accelerate the construction of gigabit optical network.However, in the upgrading process of 10G PON, two difficulties have gradually emerged, namely, high equipment cost and high complexity of network construction.Three models was established, including GPON gigabit user carrying capacity measurement model, investment benefit analysis model of gigabit network construction and gigabit value community identification model, to simulate and calculate the best 10G PON port deployment scenario of a mobile company, so as to realize the precise deployment of 10G PON port and support the development of gigabit broadband service efficiently.At the same time, the three models were also applicable to any communication operators in any region.The corresponding 10G PON network deployment scenarios can be simulated and output only by inputting the current PON network data and the current community data.…”
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Implementation Of The Use Of The C Programming Language in The Ubuntu Linux Operating System by Samsuriah Agus

“…The integration of the C programming language into the Ubuntu Linux operating system yields distinctive output displays, critical for advancing both information systems and broader fields of knowledge in alignment with evolving programming practices.…”
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Unlocking the Potential of Technology: Estimating Nitrogen Requirement in Corn Using Optical Sensors by Lakesh K. Sharma, Diego A. H. de S. Leitão, Hardeep Singh

“…Its overarching aim is to elucidate the practical utility of NDVI sensors in forecasting crop output and facilitating precise estimations of N requirements. …”
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Research on Energy Supply System Applied to Autonomous Underwater Observation Vehicles by Chunjie Wang, Yugeng Chai, Lin Cui

“…The discharge characteristics of seawater batteries can be used to prolong the working hours of autonomous underwater observation vehicles. However, the output voltage level of the seawater battery is low, so it cannot directly be used to power supply underwater observation vehicles. …”
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