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Interacting Effects of Water and N-P-K Fertilizers on the Resource Use Efficiencies and Fruit Yield of Drip-Fertigated Chinese Wolfberry (Lycium Barbarum L.)

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SSRN 2023年

作者： Deng, Zhen Eeswaran, Rasu Yin, Juan Abhiram, Gunaratnam Gong, Siyuan College of Information Engineering Ningxia University Yinchuan750021 China College of Civil and Hydraulic Engineering Ningxia University Yinchuan750021 China Department of Plant Soil and Microbial Sciences Michigan State University East LansingMI48824 United States Department of Agronomy Faculty of Agriculture University of Jaffna Ariviyal Nagar Kilinochchi44000 Sri Lanka Ministry of Education Engineering Research Center for Modern Agricultural Water Resources Efficient Utilization in Dry Areas Yinchuan750021 China Ningxia Water-saving Irrigation and Water Resources Control Engineering Technology Research Center Yinchuan750021 China School of Agriculture and Environment Massey University Palmerston North4442 New Zealand Department of Export Agriculture Uva Wellassa University Badulla90000 Sri Lanka School of Computer Science and Software Engineering Nanjing University of Information Science & Technology Nanjing210032 China

Chinese wolfberry (Lycium barbarum L.) is an important cash crop in the Ningxia region of China. However, low water and fertilizer use efficiencies have limited the growth of the Chinese wolfberry industry. Field experiments were conducted in the central Ningxia of Northwest China during 2018-2019 to investigate the interaction effects of different irrigation and fertilizer levels on agronomic performances of Chinese wolfberry, water use efficiency, fertilizer partial productivity and economic benefit. The optimal range of irrigation and fertilizer inputs for a multi-objective optimization problem was determined using multiple regression, entropy weight method and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) coupling comprehensive evaluation method. Three drip irrigation levels were designated based on the percentage of reference crop evapotranspiration (ETo) as low (65% ET0: W1), medium (85% ET0: W2) and high (105% ET0: W3) and three N-P2O5-K2O combined fertilization levels (kg ha-1) were designated as low (135-45-90: F1), medium (180-60-120: F2) and high (225-75-150: F3). The results showed that agronomic performances, water use efficiency (WUE), fertilizer partial productivity (PFP) and economic benefits increased initially and then decreased with increasing irrigation levels under the same fertilization level. Water use efficiency (WUE) was low under high irrigation level and high under low irrigation level. The PFP decreased with increasing fertilization levels and the lowest PFP was observed at high level of fertilizer (F3) application. The above parameters reached the maximum value under the medium irrigation level (85% ET0). Moreover, the multi-objective optimization highlighted that 252-262 mm of irrigation and 185-62-123～200-67-133 kg ha-1 of N-P2O5-K2O fertilization level offer more than 90% of yield, WUE, PFP and economic benefits simultaneously. These results provide a scientific reference for resource optimization under drip-

关键词： Multiobjective optimization

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Correction: Highly Accurate Gear Fault Diagnosis Based on Support Vector Machine

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Journal of Vibration engineering & Technologies 2022年第3期11卷 1389-1389页

作者： Abdul, Zrar Kh. Al-Talabani, Abdulbasit K. Department of Information System Engineering Erbil Technical Engineering College Erbil Polytechnic University Erbil Iraq Department of Applied Computer Science College of Medicals and Applied Sciences Charmo University Chamchamal Sulaymaniyah Iraq Department of Software Engineering Faculty of Engineering Koya University Kurdistan Region Iraq

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Comprehensive analysis of faults and diagnosis techniques in cascaded multi-level inverters

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Heliyon 2024年第21期10卷 e39901页

作者： Gatla, Ranjith Kumar Kumar, Devineni Gireesh Shashavali, Palthur Dsnm, Rao Kotb, Hossam Alkuhayli, Abdulaziz Ghadi, Yazeed Yasin Mbasso, Wulfran Fendzi Department of Electrical & Electronics Engineering Institute of Aeronautical Engineering Telangana Dundigal 500043 India Department of Electrical & Electronics Engineering B V Raju Institute of Technology Telangana Narsapur 502313 India Department of EEE S K University College of Engineering & Technology Andhra Pradesh Ananthapuramu 515003 India Department of EEE Gokaraju Rangaraju Institute of Engineering & Technology Telangana Bachupally 500090 India Department of Electrical Power and Machines Faculty of Engineering Alexandria University Alexandria 21544 Egypt Electrical Engineering Department College of Engineering King Saud University Riyadh 11421 Saudi Arabia Department of Computer Science and Software Engineering Al Ain University Abu Dhabi 15322 United Arab Emirates Laboratory of Technology and Applied Sciences University Institute of Technology University of Douala PO Box: 8698 Douala Cameroon

Reliability is a crucial factor to consider for multi-level inverters (MLIs) used in industrial applications. With the increasing number of power semiconductor devices, the potential for defects to significantly degrade the overall system is heightened. A highly effective fault-detection technique is required to minimize the impact of faults. This paper provides a comprehensive overview of the fundamental principles of multi-level inverters and the various sorts of faults that can occur in multi-level inverters. This study provides a comprehensive analysis of five-level cascaded H-bridge multilevel inverters (MLIs) under both normal and defective conditions. The paper outlines a fault-detection method that utilizes total harmonic distortion and a normalized output voltage factor. In addition, the paper discusses a fault-isolation strategy that relies on reducing amplitude modulation. This method leads to the development of a fault-tolerant inverter. The utilization of level-shifted pulse-width modulation (LSPWM) technology is employed for the purpose of switching operations. LSPWM is the most appropriate technique for MLIs that require a low amount of computational resources. The fault-diagnosis approach given is suitable for MLI-based drives, grid-connected operations, and other applications. This paper presents a comprehensive examination of the 5L-CMLI (5-Level Cascaded Multi-Level Inverter) under various fault scenarios in CMLI. Subsequently, various fault diagnosis approaches will be examined, including their advantages and disadvantages. The paper discusses several defects that can occur in the Insulated Gate Bipolar Transistor (IGBT) of a Current Mode Logic Inverter (CMLI), and also presents a design for a reliable fault diagnosis system. Furthermore, this analysis examines several fault detection strategies in CMLI, categorized according to open-loop and closed-loop dynamic systems fault classifications. © 2024 The Authors

关键词： Fault detection Multi-level inverters Open-loop and closed-loop systems Total harmonic distortion

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Correction to: Next-generation UWB antennas gadgets for human health care using SAR

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EURASIP Journal on Wireless Communications and Networking 2021年第1期2021卷 1-1页

作者： Ali, Aysha Maryam Al Ghamdi, Mohammed A. Iqbal, Muhammad Munwar Khalid, Shehzad Aldabbas, Hamza Saeed, Saqib University of Engineering and Technology Taxila Pakistan Computer Science Department Umm Al-Qura University Makkah City Saudi Arabia Computer Engineering Department Bahria University Islamabad Pakistan Software Engineering Department Prince Abdullah Bin Ghazi Faculty of Information and Communication Technology Al-Balqa Applied University Al-Salt Jordan Department of Computer Information Systems College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Dammam Kingdom of Saudi Arabia

An amendment to this paper has been published and can be accessed via the original article.

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通用最优轨迹规划——基于最小作用量原理实现自动驾驶（英文）

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engineering 2024年第2期 63-76页

作者： Heye Huang Yicong Liu Jinxin Liu Qisong Yang Jianqiang Wang David Abbink Arkady Zgonnikov School of Vehicle and Mobility Tsinghua University Department of Cognitive Robotics Faculty of Mechanical Maritime and Materials Engineering (3mE) Delft University of Technology Department of Software Technology Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Xi'an Institute of High-Technology

This study presents a general optimal trajectory planning(GOTP) framework for autonomous vehicles(AVs) that can effectively avoid obstacles and guide AVs to complete driving tasks safely and ***,we employ the fifth-order Bezier curve to generate and smooth the reference path along the road *** coordinates are then transformed to achieve the curvature continuity of the generated *** the road constraints and vehicle dynamics,limited polynomial candidate trajectories are generated and smoothed in a curvilinear coordinate ***,in selecting the optimal trajectory,we develop a unified and auto-tune objective function based on the principle of least action by employing AVs to simulate drivers' behavior and summarizing their manipulation characteristics of "seeking benefits and avoiding losses." Finally,by integrating the idea of receding-horizon optimization,the proposed framework is achieved by considering dynamic multi-performance objectives and selecting trajectories that satisfy feasibility,optimality,and *** simulations and experiments are performed,and the results demonstrate the framework's feasibility and effectiveness,which avoids both dynamic and static obstacles and applies to various scenarios with multisource interactive traffic ***,we prove that the proposed method can guarantee real-time planning and safety requirements compared to drivers' manipulation.

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From sensing to energy savings: A comprehensive survey on integrating emerging technologies for energy efficiency in WBANs

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Digital Communications and Networks 2024年

作者： Shumaila Javaid Hamza Fahim Sherali Zeadally Bin He Department of Control Science and Engineering College of Electronics and Information Engineering Tongji University Shanghai 201804 China National Key Laboratory of Autonomous Intelligent Unmanned Systems Tongji University Shanghai 201210 China Frontiers Science Center for Intelligent Autonomous Systems Shanghai 201210 China Department of Computer Science Faculty of Computer Sciences Ilma University Karachi 75190 Pakistan College of Communication and Information University of Kentucky Lexington KY USA Academy of Computer Science & Software Engineering University of Johannesburg Johannesburg South Africa

Energy is essential for human existence, and its high consumption is a growing concern in today's technology-driven society. Global initiatives aim to reduce energy consumption and pollution by developing and deploying energy-efficient sensing technologies for long-term monitoring, control, automation, security, and interactions. Wireless Body Area Networks (WBANs) benefit a lot from the continuous monitoring capabilities of these sensing devices, which include medical sensors worn on or implanted in the human body for healthcare monitoring. Despite significant advancements, achieving energy efficiency in WBANs remains a significant challenge. A deep understanding of the WBAN architecture is essential to identify the causes of its energy inefficiency and develop novel energy-efficient solutions. We investigate energy efficiency issues specific to WBANs. We discuss the transformative impact that artificial intelligence and Machine Learning (ML) can have on achieving the energy efficiency of WBANs. Additionally, we explore the potential of emerging technologies such as quantum computing, nano-technology, biocompatible energy harvesting, and Simultaneous Wireless Information and Power Transfer (SWIPT) in enabling energy efficiency in WBANs. We focus on WBANs' architecture, hardware, and software components to identify key factors responsible for energy consumption in the WBAN environment. Based on our comprehensive review, we introduce an innovative, energy-efficient three-tier architecture for WBANs that employs ML and edge computing to overcome the limitations inherent in existing energy-efficient solutions. Finally, we summarize the lessons learned and highlight future research directions that will enable the development of energy-efficient solutions for WBANs.

关键词： Artificial intelligence Energy Healthcare Sensors Wireless body area networks

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Artificial Intelligence Empowered Digital Twins for ECG Monitoring in a Smart Home

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ACM Transactions on Multimedia Computing, Communications, and Applications 1000年

作者： Junxin Chen Zhiyong Wang Tongyue He Bo Fang Chen Li Mikael Fridenfalk Zhihan Lyu School of Software Dalian University of Technology China College of Medicine and Biological Information Engineering Northeastern University China School of Computer Science The University of Sydney Australia Department of Game Design Faculty of Arts Uppsala University Sweden

Recent years have witnessed the increasing prevalence of smart home applications, where digital twin (DT) is popularly employed for creating virtual models that interact with physical devices in real time. Empowered by artificial intelligence (AI), these DT-created virtual models have more intelligent decision-making capabilities to ensure reliable performance of a smart home system. In this paper, a DT based smart home framework is investigated. It is capable of achieving intelligent control, healthcare prediction and graphical monitoring. First, the human body and device are individually modeled, and then assembled into a DT system, and the corresponding model interfaces are provided for visual monitoring. Then, an intelligent algorithm fusing VGG, LSTM and attention mechanism is developed for healthcare monitoring, i.e., the screening out of the irregular ECG rhythms. The system results are provided, including various high-fidelity interactive DT interfaces as well as the effectiveness and advantages of the intelligent algorithms for arrhythmia detection.

关键词： Digital twin Smart home Healthcare monitoring Arrhythmia detection

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Preface

Studies in Big Data

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Studies in Big Data 2021年 73卷 v-vii页

作者： Chakraborty, Chinmay Banerjee, Amit Kolekar, Maheshkumar H. Garg, Lalit Chakraborty, Basabi Department of Electronics and Communication Engineering Birla Institute of Technology Ranchi Mesra India Department of Electrical Engineering Indian Institute of Technology Patna Patna India Faculty of Software and Information Science Iwate Prefectural University Takizawa Japan Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore Department of Computer Information Systems Faculty of Information and Communication Technology University of Malta Msida Malta

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Corrigendum to “Independently controlled multifrequency rejection bands in a broadband filter design using shorted T-shaped stub loaded resonator with central square ring” Alexandria Eng. J. 92 (2024)

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Alexandria engineering Journal 2024年 97卷 184-184页

作者： Abdul Basit Guoqiang Zhang Amil Daraz Farid Zubir Najmus saqib Muhammad Irshad Khan Salman A. AlQahtani Atif M. Alamri School of Information Science and Engineering NingboTech University Ningbo 31500 China College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China Wireless Communication Centre Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru 81310 Malaysia Department of Computer Science and Technology University of Science and Technology China College of Electronics and Information Engineering Nanjing University of Aeronautics and Astronautics (NUAA) Nanjing China Computer Engineering Department College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia Software Engineering Department College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia

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