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34th Chinese control and Decision conference (CCDC)

作者： Yan, Aijun Li, Ang Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Minist Educ Engn Res Ctr Digital Community Beijing 100124 Peoples R China Beijing Lab Urban Mass Transit Beijing 100124 Peoples R China

ISBN: (纸本)9781665478960

The presence of outliers in the dataset and a too concentrated data distribution affects the performance of the data-driven model. In this paper, the relevance vector machine (RVM) and the radial basis function (RBF) network are used for data preprocessing. First, by gradually reducing the width of the kernel function, the RVM regression model gradually approaches the input sample to be tested, and the outlier is identified by the criterion;second, the attribute value of the abnormal probability is introduced to reduce the interference of the abnormal value upon determining the normal value;Finally, the RBF network is used to fill in the deleted outliers, and a certain number of virtual samples are generated in the small sample interval. The comparative experiment shows that this method can effectively improve data quality.

关键词： Data Preprocessing Abnormal Data Virtual Samples Relevance Vector Machine Radial Basis Function network

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quality of service (QoS) for LTE network based on adaptive neuro fuzzy inference system

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IET COMMUNICATIONS 2021年第5期15卷 683-694页

作者： Nafea, Hala B. Aboelezz, Zeinab A. Zaki, Fayez W. Mansoura Univ Dept Elect & Commun Engn Fac Engn Mansoura Egypt

The main objective of this paper is to design an Adaptive Neuro Fuzzy Inference System model to calculate the quality of service for LTE HetNet applications. The quality of service parameters considered are delay, loss rate, throughput, and jitter. The adaptive neuro fuzzy inference system is an integration of fuzzy logic and neural network. The advantage of neural network in adaptive neuro fuzzy inference system is to train the neural network algorithm on the parameter values of membership function for fuzzy logic to construct fuzzy decision. So, adaptive neuro fuzzy inference system gives better performance than fuzzy logic alone for LTE network applications (e.g. VOIP, HTTP, VIDEO, and EMAIL). The results based on adaptive neuro fuzzy inference system model produce high quality of service for LTE network applications as compared with fuzzy logic alone. It is also found that adaptive neuro fuzzy inference system results in EMAIL and quality of service outperform fuzzy logic alone by about 28.7% at medium delay, low loss rate, jitter, and high throughput.

关键词： fuzzy control Computer communications fuzzy set theory quality of service Long Term Evolution Combinatorial mathematics adaptive neuro fuzzy inference system results Telephony Mobile radio systems adaptive neuro fuzzy inference system model internet telephony neural nets Fuzzy control fuzzy reasoning LTE network applications fuzzy logic neural network fuzzy neural nets

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AMON-SENSS: Scalable and Accurate Detection of Volumetric DDoS Attacks at ISPs

AMON-SENSS: Scalable and Accurate Detection of Volumetric DD...

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IEEE Global Communications conference (GLOBECOM)

作者： Tandon, Rajat Charnsethikul, Pithayuth Kallitsis, Michalis Mirkovic, Jelena Univ Southern Calif Inst Informat Sci Marina Del Rey CA 90292 USA Merit Network Inc Ann Arbor MI USA

ISBN: (纸本)9781665435406

Distributed Denial of Service (DDoS) attacks continue to be a severe threat to the internet, and have been evolving both in traffic volume and in sophistication. While many attack detection approaches exist, few of them provide easily interpretable and actionable network-level signatures. Further, most tools are either not scalable or are prohibitively expensive, and thus are not broadly available to network operators. We bridge this gap by proposing AMON-SENSS, an open-source system for scalable, accurate DDoS detection and signature generation in large networks. AMON-SENSS employs hash-based binning with multiple bin layers for scalability, observes traffic at multiple granularities, and deploys traffic volume and traffic asymmetry change-point detection techniques to identify attacks. It proactively devises network-level attack signatures, which can be used to filter attack traffic. We evaluate AMON-SENSS against two commercial defense systems, using 37 days of real traffic from a mid-size internet Service Provider (ISP). We find that our proposed approach exhibits superior performance in terms of accuracy, detection time and network signature quality over commercial alternatives. AMON-SENSS is deployable today, it is free, and requires no hardware or routing changes.

关键词： Denial-of-service attack

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Optimization of Air Conditioning Energy Consumption Based on Indoor Comfort Degree 34

Optimization of Air Conditioning Energy Consumption Based on...

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34th Chinese control and Decision conference (CCDC)

作者： Fang, Jianhui Li, Xiaoli Wang, Kang Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Beijing Univ Technol Beijing Adv Innovat Ctr Future Internet Technol Beijing Key Lab Computat Intelligence & Intellige Beijing 100124 Peoples R China Beijing Univ Technol Minist Educ Engn Res Ctr Digital Community Beijing 100124 Peoples R China

ISBN: (纸本)9781665478960

With the aggravation of energy shortage and environmental degradation, energy saving and emission reduction are imperative. Among them, the energy consumption of air conditioners accounts for a large proportion, and there is a great potential to enhance the energy consumption system of air conditioners to improve the situation. Therefore, reducing the energy consumption of air conditioners has become a hot topic of concern. However, traditional methods often ignore the requirements of indoor personnel for comfort and do not meet the actual needs. To address this problem, this paper proposes to combine thermal comfort (PMV) and air quality (IAQ) as an integrated indoor comfort level, and the genetic algorithm optimized BP neural network (GA-BP) algorithm is used to model the comfort-energy consumption, which is verified by simulation, and the results prove that the model has small error and is feasible. Based on this, the energy consumption optimization strategy is proposed to achieve the relative optimal relationship between human comfort and energy saving.

关键词： Thermal Comfort Indoor Air quality GA-BP Neural network Energy Optimization

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Analysis of Decision Support System for Crop Health Management in Smart and Precision Agriculture Based on internet of Things (IoT) and Artificial Intelligence (AI) 1

Analysis of Decision Support System for Crop Health Manageme...

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2023 1st DMIHER International conference on Artificial Intelligence in Education and Industry 4.0, IDICAIEI 2023

作者： Kharad, Vrushali Thakur, Nileshsingh V. Prof Ram Meghe College of Engineering and Management Computer Science and Engineering Badnera India Yeshwantrao Chavan College of Engineering Computer Technology Nagpur India

ISBN: (纸本)9798350338423

Due to deteriorating soil, varying climes, and rising costs, agriculture today faces a number of difficulties. Additionally, crop health, which is mostly impacted by diseases, is a significant problem in agriculture, hurting both the quality and volume of produce. In many fields of science and technology, disease control has been a research focus. Smart and Precision Agriculture (SPA) is a novel agricultural management approach that aims to maximize crop performance while reducing environmental impact by making use of information about the geographical and temporal variability of crops. Artificial intelligence, data storage, processing power, and sensor technology have all demonstrated significant potential for disease control. The increasing corpus of research has shown the value of utilizing data from many sensor types and machine learning techniques to create models for prediction, detection, evaluation, analysis, etc. This article examines cutting-edge methods for decision support systems based on the AI and IoT, which use many data sources, and are used for efficient crop health management. © 2023 IEEE.

关键词： Decision support systems

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Two-Stage DVR control with Improved Dynamic performance under Nonlinear Load Condition 4

Two-Stage DVR Control with Improved Dynamic Performance unde...

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4th International conference on Smart Power and internet Energy systems (SPIES)

作者： Li, Yongqi Shi, Youjie Hu, Zhenkai Zou, Changyue Lei, Qikai CSG PGC Power Storage Res Inst Guangzhou Peoples R China China Southern Power Grid Elect Power Res Inst State Key Lab HVDC Guangzhou Peoples R China

ISBN: (纸本)9781665489577

The dynamic voltage restorer (DVR) provides continuous and stable power supply to the load during grid voltage sags. Under nonlinear load conditions, when the load suddenly changes, if the dynamic response speed of the system is insufficient, it may cause the overvoltage protection of the front-stage DC/DC converter, and reduce the output power quality of the back-stage DC/AC converter. In this paper, a two-stage DVR control strategy is designed, which can improve the dynamic performance of the system under nonlinear load condition. The harmonic components extracted by the bandpass filter are subtracted from the load current, and the difference after the subtraction is used as the load current feedforward, which is superimposed respectively on the current inner loop of the front-stage DC/DC converter and the back-stage DC/AC converter. In order to improve the DVR output power quality, the proportional integral resonance (PIR) controller is used in this paper. By setting the appropriate resonance angular frequency, the PIR controller can effectively solve the output voltage waveform distortion caused by the harmonic current. Finally, the effectiveness of the control strategy is verified by simulations and experiments.

关键词： DVR nonlinear load PIR controller dynamic current feedforward

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QoS-Aware Heterogeneous Data Transmission Mechanism for Industrial IoT systems 19

QoS-Aware Heterogeneous Data Transmission Mechanism for Indu...

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IEEE 19th International conference on Industrial Informatics (INDIN)

作者： Ren, Cheng Chen, Cailian Li, Mingyan Guan, Xinping Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China Minist Educ China Key Lab Syst Control & Informat Proc Shanghai 200240 Peoples R China

ISBN: (纸本)9781728143958

Various wireless manufacturing sensors facilitate the monitoring and control process in industrial internet of things (IIoT) systems. control and image data generated by control and vision-based monitoring systems are transmitted over shared wireless network to edge computing devices for further decisions. Due to limited spectrum resources and sensor transmit power, it is challenging to design efficient quality of service (QoS) aware transmission mechanism for heterogeneous data with diverse real-time and system performance requirements. In this paper, in order to guarantee control system performance and image clarity, the time slot allocation and transmission power for heterogeneous sensors are jointly optimized by formulating a mixed integer nonlinear programming (MINLP) problem. The MINLP problem is decomposed into multiple subproblems which are proved to have strong duality and can be solved in dual ***, according to acknowledge (ACK) signals, we propose a priorityaware heuristic algorithm to solve each subproblem. Finally, the simulation results prove that our proposed mechanism can reduce the number of slots and energy consumption for transmission while guaranteeing performance requirements of heterogeneous data.

关键词： Industrial internet of things heterogeneous data QoS-aware transmission mechanism control system

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Testing quality of Service of communication system for AGV fleet with Software-Defined network

Testing Quality of Service of communication system for AGV f...

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2023 IEEE International conference on Big Data, BigData 2023

作者： Marszalek, Karol Domanski, Adam Cupek, Rafal Drewniak, Marek Silesian University of Technology Department of Distributed Systems and Informatic Devices Gliwice Poland Gliwice Poland

ISBN: (纸本)9798350324457

Software-Defined network (SDN) is the new paradigm in the computer network architecture. The concept is based on the decoupling of the data plane from the control plane. Such decoupling creates the possibility for central traffic management, hence offering the potential to improve the network's performance and monitoring capabilities. We use those capabilities to perform extensive testing of the communication system for the fleet of Automated Guided Vehicles (AGV). First, we present the configuration of our testbed, the methodology of performing such testing, and a framework for experiment design. Finally, we present our results based on the presented approach. © 2023 IEEE.

关键词： AGV quality SDN service testing

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A Novel SDN-Based IOT Security Architecture Model for Big Data 12th

A Novel SDN-Based IOT Security Architecture Model for Big Da...

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12th International conference on Applications and Technologies in Information Security (ATIS)

作者： Bhimineni, Ojaswi Abhijith, Geda Sai Venkata Prabhu, Srikanth Manipal Inst Technol Dept Comp Sci & Engn Manipal Karnataka India

ISBN: (纸本)9789811911668;9789811911651

In this paper, A Novel SDN-Based IoT Security Architecture Model for Big Data is implemented. To control and manage the network, Software Defined networking (SDN) is used. The main intent of SDN controller is to implement a protocol for controlling the devices linearly and in the same way to modify the protocol for improving the performance. The entire novel SDN based IOT architecture is divided into four layers, mainly application layer, transport layer, gateway layer and data plane layer. Application layer consists of security, network update and quality of services. This mainly depends on the SDN (software Defined network). Transport layer consists of wired communication network, mobile communication network and SDN controller. Gateway layer uses SDN gateway controller. Data plane communication protocol will provide communication for the protocol. Data plane will perform the physical switch, virtual switch and network devices. From results, it can observe that it gives effective results in terms of efficiency and performance.

关键词： Software-Defined networking (SDN) IOT (internet of Things) CPU (Central Processing Unit) Distributing network Efficiency performance

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Joint Node Activation, Beamforming and Phase-Shifting control in IoT Sensor network Assisted by Reconfigurable Intelligent Surface

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2022年第11期21卷 9325-9340页

作者： Liu, Yang Shi, Qingjiang Wu, Qingqing Zhao, Jun Li, Ming Dalian Univ Technol Sch Informat & Commun Engn Dalian 116024 Peoples R China Tongji Univ Sch Software Engn Shanghai 201804 Peoples R China Shenzhen Res Inst Big Data Shenzhen 518000 Peoples R China Univ Macau Dept Elect & Comp Engn Macau 999078 Peoples R China Nanyang Technol Univ Sch Comp Sci & Engn Singapore 637121 Singapore

Power saving and battery-life extension have always been a critical concern for IoT network deployment. One effective solution is to switch wireless devices into sleep mode to save power. This paper considers the power control in an IoT network via jointly activating IoT sensors and designing their transmit beamforming. Besides, inspired by the great potential of reconfigurable intelligent surface (RIS) in energy saving, we additionally introduce RIS to further lower the sensors' power consumption. The considered problem is highly challenging due to its combinatorial nature, the highly non-convex quality-of-service (QoS) constraint and the hardware restrictions from the RIS. By exploiting the cutting-the-edge majorization minimization (MM) and the penalty dual decomposition (PDD) frameworks, we have successfully developed highly efficient solutions to tackle this problem. Our proposed solutions can achieve nearly identical performance with that of the exhaustive search but with a much lower complexity. Besides, as revealed by the numerical experiments, our proposed sensor activation scheme can switch off a large portion of sensors under mild QoS requirements, which significantly reduces power expenditure. Moreover, the deployment of RIS can bring an additional 45% - 70% power saving compared to the no-RIS case.

关键词： Wireless communication internet of Things Power demand Array signal processing Wireless sensor networks Wireless fidelity quality of service IoT sensor network reconfigurable intelligent surface (RIS) group sparsity decentralized algorithm

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