Article
Computer Science, Information Systems
Haneul Ko, Taeyun Kim, Daeyoung Jung, Sangheon Pack
Summary: In this article, a software-defined EV-to-EV charging framework with mobile aggregators is proposed to solve the matching problem of charging and discharging EVs. The charging controller determines the charging location, monetary cost, and reward based on the collected information in a global view, aiming at maximizing the revenue of the operator. A highly acceptable pair decision algorithm is proposed as a practical solution, which achieves up to 129% revenue growth while maintaining the waiting time below a certain level according to extensive simulation results.
IEEE SYSTEMS JOURNAL
(2023)
Article
Automation & Control Systems
Maninderpal Singh, Gagangeet Singh Aujla, Amritpal Singh, Neeraj Kumar, Sahil Garg
Summary: A blockchain framework based on deep learning is designed in this article to provide secure software-defined industrial network, utilizing blockchain mechanism to register, verify, and achieve consensus for switches, with a deep Boltzmann machine flow analyzer deployed in the control plane.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Economics
Alaa Torkey, Hossam Abdelgawad
Summary: The research community has made significant contributions to the micro-level planning of Electric Vehicle Charging Infrastructure (EVCI). However, the complexity of these techniques and their unfamiliarity for local authorities make micro-level planning impractical. This research proposes a meso-level planning framework that combines international best practices and city characteristics to provide a dynamic solution for EVCI planning.
Article
Engineering, Civil
Zhonghao Zhao, Carman K. M. Lee, Jingzheng Ren, Yung Po Tsang
Summary: This study aims to determine the best deployment plan for EV fast charging stations in a transportation network with limited budget. The objective is to maximize the quality of service with respect to waiting time and range anxiety from the perspective of EV customers. The study proposes a novel reinforcement learning framework using a finite discrete Markov decision process to address the curse of dimensionality problem and a recurrent neural network with an attention mechanism for unsupervised learning.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Shalli Rani, Himanshi Babbar, Gautam Srivastava, Thippa Reddy Gadekallu, Gaurav Dhiman
Summary: Currently, there are trillions of IoT devices in use, and even more are expected to join IoT networks in the future. These devices generate a massive amount of data, which needs to be transmitted securely over the network. However, as the number of interconnected devices increases, there are challenges such as response time, bandwidth constraints, and scalability in network design. To overcome these challenges, a distributed framework that brings computing and storage resources closer to endpoints is proposed, combining the strengths of SDNs and blockchain technology. Experimental analysis showed a 12.75% improvement in performance compared to baseline methodologies.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Jiangqi Hu, Zhiyuan Zhao, Maxwell McManus, Sabarish Krishna Moorthy, Yuqing Cui, Nicholas Mastronarde, Elizabeth Serena Bentley, Michael Medley, Zhangyu Guan
Summary: This article introduces a software-defined platform called NeXT, which integrates wireless network simulation, experimentation, and optimization capabilities. The data plane and control plane of NeXT are designed, and the experimental capability of NeXT in optimization and control problems in different wireless networks is showcased.
COMPUTER COMMUNICATIONS
(2023)
Article
Automation & Control Systems
Kayode E. Adetunji, Ivan W. Hofsajer, Adnan M. Abu-Mahfouz, Ling Cheng
Summary: Electric vehicles are crucial for reducing carbon emissions, but their charging poses a threat to power system networks. To address this challenge, a two-tailed incentive pricing scheme is proposed in an EV charging coordination model, using deep deterministic policy gradient to solve the multiobjective problem. Numerical simulations show that this scheme improves grid stability and EV charging profit margins.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Chemistry, Multidisciplinary
Francisco-Javier Moreno-Muro, Miquel Garrich, Ignacio Iglesias-Castreno, Safaa Zahir, Pablo Pavon-Marino
Summary: This work presents a framework for disaggregated optical networks leveraging SDN and container-based management for realistic emulation of deployment scenarios, offering a novel approach suitable for operationally complex carrier-grade transport infrastructure with SDN-based disaggregated optical systems.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Rui Ye, Xueliang Huang, Zhong Chen, Zhenya Ji
Summary: The HCMS system addresses the under-voltage issue in medium-voltage radial distribution networks caused by concentrated high-power charging of EVs through PCMP and LCMCs, utilizing PVRA algorithm to formulate charging threshold plans, integrating CMS and CCS sub-strategies to aggregate charging information for voltage support service, and alleviating under-voltage issues in concerned nodes.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Engineering, Electrical & Electronic
Weitong Chen, Feiyang Lin, Grant A. Covic
Summary: This article proposes a two-phase DDQ track topology to improve interoperability and reduce power transfer fluctuations in dynamic electric vehicle charging systems. It also presents a method to simplify the design process.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Energy & Fuels
Stavros Sykiotis, Christoforos Menos-Aikateriniadis, Anastasios Doulamis, Nikolaos Doulamis, Pavlos S. Georgilakis
Summary: This study proposes a residential smart EV charging framework that prioritizes solar PV power self-consumption for charging electric vehicles, aiming to accelerate the transition to a carbon neutral passenger vehicle fleet. The results show that compared to uncontrolled EV charging, the proposed method can increase the average self-consumption of solar energy for EV charging by 19.66%, reduce network stress by 7%, and decrease electricity bills by 10.3%.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Energy & Fuels
Paul Banda, Muhammed A. Bhuiyan, Kazi N. Hasan, Kevin Zhang
Summary: This research proposes a time-series-based hybrid transfer learning forecasting approach, called CNN-BiLSTM, to forecast EV charging profile and network voltage without performing power flow. The effectiveness of the proposed model is validated using EV charging demand datasets collected over a year, and the results confirm its improved accuracy compared to conventional and newly created models in predicting EV charging demand and voltage profiles.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Computer Science, Information Systems
Li Yan, Haiying Shen, Liuwang Kang, Juanjuan Zhao, Zhe Zhang, Chengzhong Xu
Summary: This paper introduces a mobile wireless charger guidance system, MobiCharger, which determines the number and optimal routes of serving Mobile Energy Disseminators (MEDs). By studying a metropolitan-scale vehicle mobility dataset, the authors discovered patterns of EV's routine and density changes. Through combining EV's current trajectories and routines, and employing multi-objective optimization and reinforcement learning methods, they achieved offline and online deployment adjustment of MEDs. Experimental results show that MobiCharger significantly increases the State-of-Charge and number of charges for all EVs compared to previous methods.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Stefan Achleitner, Quinn Burke, Patrick McDaniel, Trent Jaeger, Thomas La Porta, Srikanth Krishnamurthy
Summary: This article proposes a novel multilevel security framework to enforce a secure inter-node information flow policy within the network, vastly reducing the attack surface available to adversaries. Unlike traditional approaches, the framework leverages the centralization of software-defined networks to provide transparent security service to all network nodes. Experimental results demonstrate that the framework can securely and efficiently route flows that satisfy security constraints.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Energy & Fuels
Zhikang Li, Chengbin Ma
Summary: This paper proposes a new temporal-spatial EV charging coordination scheme that considers the uncertainties in EV arrival time and total available charging power. Through the use of a generalized Nash equilibrium game and a distributed receding horizon optimization-based solution, the proposed method improves service quality of EV charging.
Article
Endocrinology & Metabolism
Yanfei Sun, Zhibin Wang, Zhiqiang Huang, Haofei Hu, Yong Han
Summary: This study found a positive and non-linear relationship between the TG/HDL-C ratio and the risk of diabetes in Chinese prediabetic patients.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Computer Science, Hardware & Architecture
Jing Sun, Jing Xu, Yi-Mu Ji, Fei Wu, Yanfei Sun
Summary: This paper proposes a cascaded multi-3D-view fusion method (CM3DV) to enhance the feature capture capability of the network and address the spatial misalignment issue of features from different views. The proposed method achieves significant improvement in object classification and orientation regression.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Plant Sciences
Junhua Ye, Mengchen Zhang, Xiaoping Yuan, Dongxiu Hu, Yuanyuan Zhang, Siliang Xu, Zhen Li, Ruosi Li, Junrong Liu, Yanfei Sun, Shan Wang, Yue Feng, Qun Xu, Yaolong Yang, Xinghua Wei
Summary: This study investigates the genetic changes and contributions of landraces and introduced cultivars in the improvement of major inbred rice cultivars in China. Through resequencing, it is found that landraces contribute more to the genetic diversity of major inbred Xian (Indica) cultivars, while introduced cultivars contribute more to major inbred Geng (Japonica) cultivars. The study also identifies candidate regions associated with agronomic traits that have been under positive selection in rice improvement.
Article
Business, Finance
Yinan Ni, Yanfei Sun
Summary: This paper investigates the impact of corporate ESG performance on stock returns in China's stock markets. It finds that firms with lower ESG scores provide higher stock returns after the announcement of the Paris Agreement, and the effect of ESG performance is further heightened after President Xi's pledge. Using sorted portfolios and Fama-French factor models, the study shows that investors are rewarded for bearing ESG-related risks. The estimated monthly ESG risk premium ranges from 0.52% to 0.61%, and state-owned firms with larger market capitalizations and better financial and operational performance tend to have better ESG performance.
GLOBAL FINANCE JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Xiaoxuan Wang, Shuyuan Li, Zhi Yuan, Yanfei Sun, Zheng Tang, Xueying Gao, Huiying Zhang, Jingxian Li, Shiyu Wang, Dongchun Yang, Jiangzhou Xie, Zhiyu Yang, Yi-Ming Yan
Summary: Electrocatalytic nitrogen reduction reaction (ENRR) is a promising approach for synthesizing green ammonia under ambient conditions. Tungsten (W) is an effective catalyst for ENRR, and enhancing the adsorption of intermediates is crucial for improving catalytic performance. In this study, a strong interfacial electric field was constructed in WS2-WO3 to enhance the adsorption of intermediates, leading to significantly improved ENRR performance. The results showed a high NH3 yield and promoted faraday efficiency, and the enhancement was attributed to the upshift of the d-band center of W towards the Fermi level.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Computer Science, Theory & Methods
Genxin Chen, Jin Qi, Ying Sun, Xiaoxuan Hu, Zhenjiang Dong, Yanfei Sun
Summary: This paper proposes a collaborative scheduling method for heterogeneous workflows in cloud computing based on deep reinforcement learning, aiming at the problem of low overall service quality caused by the disordered collaboration of heterogeneous workflows and discontinuous task execution in cloud computing scenarios. The method optimizes workflow makespan, cost, fairness, and continuity in cloud computing under the constraints of task execution continuity. The results show that the proposed method has advantages in collaborative optimization of high-dimensional objectives under task continuity constraints, achieving a 16.6% optimization in makespan performance and a 5.3% improvement in fairness index.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Zhongge Luo, Yanfei Sun, Hang Li, Yu Xiao, Bowen Liu, Ting Wang, Bohao Wan
Summary: In this paper, a two-level power management and coordinated control strategy is proposed for a hybrid microgrid with back-to-back converters. The structure of the hybrid microgrid is analyzed, and models of the converters, photovoltaic cells, and batteries are established. The strategy considers multiple constraints and operation characteristics, and it includes local-level coordinated control of the converters, battery energy storage system, and PV units to ensure stable operation in different modes. The effectiveness of the proposed method is verified through simulation and experimental results.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2023)
Article
Agronomy
Zhen Liu, Jing Li, Ruixing Hou, Yitao Zhang, Huarui Gong, Yanfei Sun, Zhu Ouyang, Zhigang Sun
Summary: Soil salinisation is a significant ecosystem issue that negatively affects sustainable agriculture. Vegetation restoration practices are widely used to cope with saline soil degradation, especially in abandoned farmland. However, the associations and functions of microbes in the rhizosphere and bulk soils of salt-tolerant plants are still unclear, which limits the effectiveness of vegetation restoration. This study analyzed the fungal community composition, functional guilds, and co-occurrence networks in both rhizosphere and bulk soils of typical plant species in the abandoned farmland of the Yellow River Delta, China. The results showed that the rhizosphere fungal network had more nodes and links, more negative links, and higher modularity compared to the bulk soil network. The salt-tolerant plants' rhizosphere had a more stable fungal co-occurrence network and recruited more keystone species, benefiting soil nutrient cycling and restoration in abandoned farmlands.
Article
Telecommunications
Kai Qian, Yinqiu Liu, Chaoran Shu, Yanfei Sun, Kun Wang
Summary: For 6G-empowered IoT, blockchain is considered fundamental for addressing security and privacy issues, but current blockchains have flaws in performance and scalability. To optimize these blockchains, a standard benchmarking tool is needed, and targeted optimization strategies should be designed. This paper presents a novel pipeline for green IoT-oriented blockchains in 6G era, including a benchmarking framework and targeted optimization mechanisms. The pipeline is applied to IOTA and successfully addresses its issues.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Chemistry, Multidisciplinary
Yanfei Sun, Jiangzhou Xie, Zhenzhen Fu, Huiying Zhang, Yebo Yao, Yixiang Zhou, Xiaoxuan Wang, Shiyu Wang, Xueying Gao, Zheng Tang, Shuyuan Li, Xiaojun Wang, Kaiqi Nie, Zhiyu Yang, Yiming Yan
Summary: Efficient conversion of CO2 into value-added materials and feedstocks powered by renewable electricity is a promising strategy to reduce greenhouse gas emissions. In this study, a new strategy for stabilizing Cu(+) in Ce-Cu2O catalyst is proposed by constructing a Ce4+ 4f-O2p-Cu+ 3d network structure. The unconventional orbital hybridization is found to effectively inhibit the leaching of lattice oxygen, leading to improved selectivity for C2+ products. The Ce-Cu2O catalyst exhibited a 1.69-fold increase in the C2H4/CO ratio during CO2RR.
Article
Soil Science
Zongrui Lai, Yanfei Sun, Yang Yu, Zhen Liu, Yuxuan Bai, Yangui Qiao, Lin Miao, Weiwei She, Shugao Qin, Wei Feng
Summary: This study investigates the assembly of plant-associated microbiomes in shrubs and their effect on soil microbiomes. The bacterial and fungal communities are more influenced by microhabitats than by plant species, with the surrounding zone of roots being a hotspot for microbial recruitment. The findings enhance our understanding of plant-soil microbiome feedback in dryland ecosystems.
APPLIED SOIL ECOLOGY
(2023)
Article
Agronomy
Siliang Xu, Mengchen Zhang, Junhua Ye, Dongxiu Hu, Yuanyuan Zhang, Zhen Li, Junrong Liu, Yanfei Sun, Shan Wang, Xiaoping Yuan, Yue Feng, Qun Xu, Xinghua Wei, Dali Zeng, Yaolong Yang
Summary: This study identifies a novel brittle culm 25 (bc25) mutant in rice with reduced growth and partial sterility. BC25 encodes an UDP-glucuronic acid decarboxylase involved in cellulose synthesis. The bc25 mutant exhibits a reduced thickness of the secondary cell wall and an increase in xylose synthesis. BC25 plays a crucial role in rice cell wall formation, affecting plant growth and development.
Proceedings Paper
Computer Science, Information Systems
Chaoran Shu, Boyu Qi, Yanfei Sun, Kun Wang
Summary: This paper proposes a software/hardware data mapping framework called Fast-Pipe for efficient deployment of remote sensing data accelerators, which reduces co-design complexity and optimizes data transfer to improve performance.
2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022)
(2022)
Article
Computer Science, Information Systems
Hongchuan Li, Bin Li, Zhongge Luo, Hang Li, Yu Zhao, Ting Wang, Yanfei Sun
Summary: In this study, a multi-energy interactive power supply system is constructed to solve the issue of insufficient power supply reliability in the low-voltage distribution area. By integrating the grid, new energy, and energy storage, the system achieves orderly control and seamless transition between different powers, enhancing the reliability, diversity, and stability of electricity supply.
Article
Chemistry, Physical
Yebo Yao, Yixiang Zhou, Xia Liu, Yongjia Li, Dewei Wang, Xinyue Chi, Xiaoxuan Wang, Rui Zhao, Huiying Zhang, Yanfei Sun, Zhi-Yu Yang, Ying Wei, Yi-Ming Yan
Summary: By incorporating boron (B) into the Cu2O lattice, the active Cu+ species for the electrochemical reduction of CO2 are successfully stabilized, achieving efficient and continuous production of CO2-to-C2H4 for at least 8 hours.
JOURNAL OF MATERIALS CHEMISTRY A
(2022)
