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IEEE International Conference on Communications (ICC)

作者： Charilaos C Zarakovitis Su Fong Chien Haris Pervaiz Qiang Ni John Cosmas Nawar Jawad Michail-Alexandros Kourtis Harilaos Koumaras Themistoklis Anagnostopoulos Media Networks Laboratory Institute of Informatics and Telecommunications NCSR “DEMOKRITOS” Athens Greece Wireless Technology and System Design Lab MIMOS Berhad Kuala Lumpur Malaysia InfoLab21 School of Computing and Communications Lancaster University Lancaster United Kingdom Department of Electronic and Computer Engineering Brunel University London United Kingdom

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

To improve data speed and reliability, hybrid wireless networks combine two different Radio Access Technologies (RATs), such as Visible Light Communications (VLC), millimetre wave (mmWave), Wireless Fidelity (WiFi), 4G Long Term Evolution (LTE), etc. The Internet of Radio Light (IoRL) is a cutting-edge system paradigm to combine three RATs for taking advantage the vast VLC and mmWave spectrum with the ubiquitous coverage of WiFi. In this respect, this work introduces a new convex optimisation-based solution method to optimise the three-dimensional (3D) Access Point Assignment (APA) problem of the IoRL system under individual user positioning, priority and minimum Quality-of-Service (QoS) constraints. We use both the IoRL real-world testbed and large-scale Maltab simulations to evaluate that our solution converges in linear time, and attains higher throughput-vs-fairness trade-off than existing efforts.

关键词： Wireless fidelity Quality of service Signal to noise ratio Optimization Complexity theory Throughput Resource management

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Comparation of Aroma-Active Compounds in Fresh Commercial Infant Formula and the Change during Ambient Storage

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Journal of Future Foods 2025年

作者： Lirong Xu Ailing Tian Jiayi Su Meifan Pan Riqing Liu Peipei Gao Beilei Pang Zitong Liu Lijiao Fan Huaixia Zhang Yali Wang Lei Du Lili Zheng Yingchun Zhao Xiaoxiao Feng Jing Lv Department of Nutrition The Affiliated Hospital of Qingdao University Qingdao China Institute of Nutrition and Health Qingdao University 266071 Qingdao China Department of Gastrointestinal Surgery The Affiliated Hospital of Qingdao University Jiangsu Road 16# Qingdao Shandong 266400 People's Republic of China Department of Health Education and Management and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment School of Public Health Fourth Military Medical University Xi'an China. Department of surgery The Affiliated Hospital of Qingdao University Qingdao China National Engineering Research Centre for Intelligent Electrical Vehicle Power System (Qingdao) College of Mechanical & Electronic Engineering Qingdao University Qingdao 266071 China College of Chemical Engineering Qingdao University of Science and Technology Analysis and Testing Center Qingdao University of Science and Technology 266042 Qingdao China Department of Food Science & Technology School of Agriculture & Biology Shanghai Jiao Tong University Shanghai 200240 China

This study compared the aroma-active compounds in 14 brands of commercially infant formula and investigated their changes during ambient storage after opening for 2 months. A total of 29 major aroma-active compounds were detected in infant formula. From the PCA and heatmap analysis, a total of 14 brands of infant formula were classified into 3 groups, the second group contained JLB-Y, AY and FH-F, of which 2-furanmethanol and (E,E)-3,5-octadien-2-one were mainly compounds, the third group contained YL and JLB-L, the characteristic flavor compounds in this group were mainly hexanal, heptanal, etc. Aldehydes, as the main volatile substances, account for more than half of the total volatiles. Nearly half of the aldehydes showed more significant changes after storage, e.g. hexanal, octanal, (E)-2-octenal and 3-methylbutyraldehyde. The YL and YP-Q produced more saturated aldehydes after storage, the concentration of hexanal in YL-2m and YP-Q-2m was 2138.5 μg/kg and 2004.1μg/kg, respectively. The concentrations of heptanal, octanal, and nonanal also increased relatively significantly, which may lead to a distinct rancid flavor in YL and YP-Q. Besides, among the ketones, (E,E)-3,5-octadien-2-one showed the greatest change after storage, especially in JLB-L. According to sensory evaluation experiments, the milky flavor of infant formulas decreased and fatty, rancid, fishy and grassy flavors were found to have increased to different extents after storage. The current information gap on the concentration and evolution of volatile compounds in commercially available infant formula is filled by this study.

关键词： Infant formula Volatile compounds GC-MS Ambient Storage

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Cross-domain intelligent cooperative spectrum sensing algorithm based on Federated Learning and Swin-Transformer neural network

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engineering Applications of Artificial Intelligence 2025年 157卷

作者： Lingwei Xu Zhihe Gao Yufang Li T. Aaron Gulliver Department of Information Science and Technology Qingdao University of Science & Technology Qingdao 266061 China Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing 400065 China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang 441053 Hubei China Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis(Guangxi Minzu University) Nanning 530006 China Department of Electrical and Computer Engineering University of Victoria Victoria BC V8W 2Y2 Canada

The deployment of 6th Generation (6G) mobile networks will bring revolutionary changes to organizations and users through higher speeds, lower latency, and more intelligent network management. This will require more efficient spectrum sharing to improve network performance. Cognitive Radio (CR) can be employed to help achieve this goal. However, data collection at the fusion center for cooperative spectrum sensing (CSS) creates a risk of sensing user (SU) data leakage. In this paper, an intelligent CSS algorithm for mobile communication is proposed based on Federated Learning with a Swin-Transformer. First, to achieve the cross-domain process, a Continuous Wavelet Transform (CWT) is used with the normalized time series data to obtain a time-frequency spectrum map with joint time-frequency features. Second, Federated Learning is employed to realize distributed CSS to reduce sensing overhead, improve the security of sensing data, and eliminate the SU data isolation with traditional distributed CSS. Then, a new Swin-Transformer spectrum sensing is proposed for fusion learning of the time-frequency spectrum map. The fusion of Federated Learning and Swin-Transformer neural network provides cooperation with multiple SUs to achieve efficient spectrum sensing using the K -rank fusion criterion. Compared with the Convolutional Neural Network (CNN), ViT-Transformer, Graph Neural Network (GNN) and EfficientNet algorithms, the detection probability of the proposed algorithm has increased by 45 %, and the false alarm probability has decreased by 13 %.

关键词： Cross domain processing Federated learning Mobile cooperative spectrum sensing Swin-transformer

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Low Power CMOS Thermal and Tamper Sensor for Smart Cards Protection

Low Power CMOS Thermal and Tamper Sensor for Smart Cards Pro...

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International Conference on Electromagnetics in Advanced Applications (ICEAA)

作者： Luis Q Cartagena Silvio E Barbin Department of Electronic System Engineering and Telecommunications and Control Engineering Polytechnic School of the University of Sao Paulo Brazil

ISBN: (纸本)9781538667637

In this paper, we present a new design of a tamper resistance and a temperature sensor protection in Smart Cards to prevent both, physical and security attacks in the corners of their operating temperature range. Physical attacks are used for reverse engineering and temperature attacks normally result in malfunctions in the smart card processor, allowing the access to extra information. The purpose of this design is the protection of the chip of smart cards in a temperature range of -20 °C to 120 °C, and tamper resistance with a small area and low power consumption circuit. The sensor and tamper resistance were designed in Cadence using the system on a Chip (SoC) concept, employing a standard 90 nm CMOS technology that operates on a power supply voltage of 1.2 V. The obtained results show effective protection at the corners of the -40 °C to 140 °C temperature range and V dd = 1.2 V 10%. This new circuit design can effectively work as an excellent protector against security manipulation of Smart Cards.

关键词： Temperature sensors Resistance Temperature distribution Smart cards Integrated circuits Voltage control Temperature measurement

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Competing Ratio Loss for Multi-class image Classification

Competing Ratio Loss for Multi-class image Classification

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IEEE Visual Communications and Image Processing Conference

作者： Ke Zhang Xinsheng Wang Yurong Guo Zhenbing Zhao Zhanyu Ma Department of Electronic and Communication Engineering North China Electric Power University Hebei China Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China

Cross-entropy loss function (CEL) is widely used for training a multi-class classification deep convolutional neural network (DCNN). While CEL has been successfully implemented in image classification tasks, it only focuses on the posterior probability of correct class when the labels of training images are one-hot. It cannot be discriminated against the classes not belong to correct class (wrong classes) directly. Negative Log Likelihood Ratio Loss (NLLR) is proposed to better discriminate the correct class from competing wrong classes. But optimization of the loss function is normally presented as a minimization problem. In training DCNN, the value of NLLR is not constantly positive or negative, which affects the convergence of NLLR adversely. So, we propose competing ratio loss (CRL), which calculates the posterior probability ratio between the correct class and competing wrong classes to better widen the difference between the probability of the correct class and the probabilities of wrong classes, which also assures the value of CRL is constantly positive. Through massive experiments, we demonstrate the effectiveness and robustness of CRL on deep convolutional neural networks, our CRL outperforms CEL and NLLR on CIFAR-10/100 datasets.

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Optimal resource allocation for delay minimization in NOMA-MEC networks

arXiv

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arXiv 2020年

作者： Fang, Fang Xu, Yanqing Ding, Zhiguo Shen, Chao Peng, Mugen Karagiannidis, George K. Department of Engineering Durham University DurhamDH1 3LE United Kingdom School of Electrical and Electronic Engineering University of Manchester M13 9PL United Kingdom State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China Group Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki54124 Greece

Multi-access edge computing (MEC) can enhance the computing capability of mobile devices, while non-orthogonal multiple access (NOMA) can provide high data rates. Combining these two strategies can effectively benefit the network with spectrum and energy efficiency. In this paper, we investigate the task delay minimization in multi-user NOMA-MEC networks, where multiple users can offload their tasks simultaneously through the same frequency band. We adopt the partial offloading policy, in which each user can partition its computation task into offloading and locally computing parts. We aim to minimize the task delay among users by optimizing their tasks partition ratios and offloading transmit power. The delay minimization problem is first formulated, and it is shown that it is a nonconvex one. By carefully investigating its structure, we transform the original problem into an equivalent quasi-convex. In this way, a bisection search iterative algorithm is proposed in order to achieve the minimum task delay. To reduce the complexity of the proposed algorithm and evaluate its optimality, we further derive closed-form expressions for the optimal task partition ratio and offloading power for the case of two-user NOMA-MEC networks. Simulations demonstrate the convergence and optimality of the proposed algorithm and the effectiveness of the closed-form analysis. Copyright © 2020, The Authors. All rights reserved.

关键词： Energy efficiency

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Study on data-driven PEMFC humidity mechanism soft-sensing model

Study on data-driven PEMFC humidity mechanism soft-sensing m...

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2019 International Conference on Applied Machine Learning and Data Science, ICAMLDS 2019

作者： Tan, Baohua Chen, Hongbin Quan, Rui Quan, Shuhai Zhou, Yuanye School of Science Hubei University of Technology Wuhan China Hubei Engineering Technology Research Center of Energy Photoelectric Device and System Hubei University of Technology Wuhan China Department of Respiratory Medicine Renmin Hospital of Wuhan University Wuhan China School of Electrical and Electronic Engineering Hubei University of Technology Wuhan China New Energy Detection and Control Technology Research Centre Wuhan University of Technology Wuhan China

Proton exchange membrane fuel cell (PEMFC) has a special closed structure, whose humidity cannot be measured directly. This paper selects the diffusion model as the modelling and analysis basis of the humidity mechanism soft-sensing based on the experimental research object. After the study of the basic principles of the diffusion model, a one-dimensional data-driven proton exchange membrane fuel cell humidity mechanism soft-sensing model is analysed and completed. At last, the actual experimental data drives the humidity mechanism soft-sensing model and the predicted output error based on the humidity mechanism soft-sensing model can be controlled within 3%. The output results verify the effectiveness of the humidity mechanism soft-sensing model. © Published under licence by IOP Publishing Ltd.

关键词： Proton exchange membrane fuel cells (PEMFC)

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Inverse-system method for identification of damping-rate functions in non-Markovian quantum systems

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Physical Review A 2020年第4期102卷 042227-042227页

作者： Shibei Xue Lingyu Tan Rebing Wu Min Jiang Ian R. Petersen Department of Automation Shanghai Jiao Tong University Shanghai 200240 People's Republic of China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 People's Republic of China Department of Automation Tsinghua University Beijing 100084 People's Republic of China Center for Quantum Information Science and Technology TNList Beijing 100084 People's Republic of China School of Electronic and Information Engineering Soochow University Suzhou 215006 People's Republic of China Research School of Electrical Energy and Materials Engineering The Australian National University Canberra 0200 Australia

Identification of complicated quantum environments lies in the core of quantum engineering, which systematically constructs an environment model with the aim of accurate control of quantum systems. In this paper, we present an inverse-system method to identify damping rate functions, which describe non-Markovian environments in time-convolution-less master equations. To access information on the environment, we couple a finite-level quantum system to the environment and measure time traces of local observables of the system. By using sufficient measurement results, an algorithm is designed, which can simultaneously estimate multiple damping rate functions for different dissipative channels. Further, we show that identifiability for the damping rate functions corresponds to the invertibility of the system and a necessary condition for identifiability is also given. The effectiveness of our method is shown in examples of an atom and three-spin-chain non-Markovian systems.

关键词： Open quantum systems Quantum control

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An inverse-system method for identification of damping rate functions in non-Markovian quantum systems

arXiv

引用

arXiv 2020年

作者： Xue, Shibei Tan, Lingyu Wu, Rebing Jiang, Min Petersen, Ian R. Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Department of Automation Tsinghua University Beijing100084 China Center for Quantum Information Science and Technology TNList Beijing100084 China School of Electronic and Information Engineering Soochow University Suzhou215006 China Research School of Electrical Energy and Materials Engineering Australian National University Canberra0200 Australia

Identification of complicated quantum environments lies in the core of quantum engineering, which systematically constructs an environment model with the aim of accurate control of quantum systems. In this paper, we present an inverse-system method to identify damping rate functions which describe non-Markovian environments in time-convolution-less master equations. To access information on the environment, we couple a finite-level quantum system to the environment and measure time traces of local observables of the system. By using sufficient measurement results, an algorithm is designed, which can simultaneously estimate multiple damping rate functions for different dissipative channels. Further, we show that identifiability for the damping rate functions corresponds to the invertibility of the system and a necessary condition for identifiability is also given. The effectiveness of our method is shown in examples of an atom and three-spin-chain non-Markovian systems. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum optics

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Reaching Non-Negative Edge Consensus of Networked Dynamical systems

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IEEE TRANSACTIONS ON CYBERNETICS 2018年第9期48卷 2712-2722页

作者： Wang, Xiao Ling Su, Housheng Chen, Michael Z. Q. Wang, Xiao Fan Chen, Guanrong College of Automation Nanjing University of Posts and Telecommunications Nanjing China School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan China School of Automation Nanjing University of Science and Technology Nanjing China Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Department of Electronic Engineering City University of Hong Kong Hong Kong

In this paper, the problem of non-negative edge consensus of undirected networked linear time-invariant systems is addressed by associating each edge of the network with a state variable, for which a distributed algorithm is constructed. Sufficient conditions referring only to the number of edges are derived for non-negative edge consensus of the networked systems. Subsequently, the linear programming method and a low-gain feedback technique are introduced to simplify the design of the feedback gain matrix for achieving the non-negative edge consensus. It is found that the low-gain feedback technique has a good effect on the non-negative edge consensus of the networked systems subject to input saturation. Numerical simulations are presented to verify the effectiveness of the theoretical results.

关键词： Distributed algorithm line graph low-gain feedback networked system non-negative edge consensus

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