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19th International conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024

ISBN: (纸本)9789897586965

The proceedings contain 81 papers. The topics discussed include: conversational assistants for software development: integration, traceability and coordination;an integrated visualization approach combining dynamic data-flow analysis with symbolic execution;combining goal-oriented and BPMN modelling to support distributed microservice compositions;steady-state energy consumption evaluation in BaseBand units pool in cloud radio access network;review time as predictor for the quality of model inspections;enriching the semantic representation of the source code with natural language-based features from comments for improving the performance of software defect prediction;considerations in prioritizing for efficiently refactoring the data clumps model smell: a preliminary study;metasurance: a blockchain-based insurance management framework for metaverse;and expectation-based integration testing of unidirectional interactions in component-based software systems.

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DeepCrypt - Deep Learning for QoE Monitoring and Fingerprinting of User Actions in Adaptive Video Streaming 8

DeepCrypt - Deep Learning for QoE Monitoring and Fingerprint...

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8th IEEE International conference on network Softwarization (NetSoft) - network Softwarization Coming of Age - New Challenges and Opportunities

作者： Casas, Pedro Seufert, Michael Wassermann, Sarah Gardlo, Bruno Wehner, Nikolas Schatz, Raimund AIT Austrian Inst Technol Seibersdorf Austria Univ Wurzburg Wurzburg Germany

ISBN: (纸本)9781665406949

We introduce DeepCrypt, a deep-learning based approach to analyze YouTube adaptive video streaming quality of Experience (QoE) from the internet Service Provider (ISP) perspective, relying exclusively on the analysis of encrypted network traffic. Using raw features derived on-line from the encrypted stream of bytes, DeepCrypt infers six different video QoE indicators capturing the user-perceived performance of the service, including the initial playback delay, the number and frequency of rebuffering events, the video playback quality and encoding bitrate, and the number of quality changes. DeepCrypt offers deep visibility into the behavior of the end-user, enabling the fingerprinting and detection of different user actions on the video player, such as video pauses and playback scrubbing (forward, backward, out-of-buffer), offering a complete visibility on the video streaming process from in-network traffic measurements. Evaluations over a large and heterogeneous dataset composed of mobile and fixed-line measurements, using the YouTube HTML5 player, the native YouTube mobile app, as well as a generic HTML5 video player built on top of open source libraries, and considering measurements collected at different ISPs, confirm the out-performance of DeepCrypt over previously used shallow-learning models, and its generalization to different video players and network setups.

关键词： Video on demand Adaptive systems Web and internet services Telecommunication traffic Fingerprint recognition Libraries Mobile applications

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Development of Intelligent Plastic-Case Circuit Breaker for Distribution network 5

Development of Intelligent Plastic-Case Circuit Breaker for ...

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5th International conference on Smart Power and internet Energy systems, SPIES 2023

作者： Zhaobin, Zhong Ruicong, Xia Qing, Ye Qiran, Zhang Tao, Chen Junhong, Chen China Southern Power Grid Technology Co. Ltd. Guangdong Provincial Key Laboratory of New Technology for Smart Grid Guangzhou China

ISBN: (纸本)9798350371741

Plastic-case circuit breaker is one of the important switching equipment in low-voltage distribution network, which can automatically cut off the power grid after the current exceeds the trip setting, and protect the distribution network and industrial equipment from damage. The traditional low-voltage circuit breaker uses a thermomagnetic or electronic controller, and the thermomagnetic structure relies on the thermal effect and magnetic effect of electricity to complete the tripping action, and there is no data interaction ability and intelligent control needs, which can not meet the requirements of the comprehensive development of the power energy network to transform into a digital, networked, intelligent new power system. In order to meet the requirements of reliability, safety and intelligence of plastic-case circuit breaker for new power system, an intelligent plastic-case circuit breaker device for distribution network is proposed. The intelligent device has the main line power supply, combined with the backup battery auxiliary power supply mode, with strong and weak electricity independent characteristics, support high-precision voltage and current acquisition capabilities, with HPLC/RS485 uplink communication mode, Bluetooth local communication interface and special expansion interface, can adapt to various external devices according to the application scenario. The software supports remote communication, telemetry, remote control, self-diagnosis, fault analysis, meter transcription data verification and other capabilities, and has multiple harmonics and other power quality parameter detection capabilities. The intelligent monitoring and remote control functions of intelligent plastic-case circuit breaker are realized, which effectively improves the digital and intelligent characteristics of intelligent plastic-case circuit breaker. The device has been tested by the third party testing institution and has high voltage and current acquisition accuracy and r

关键词： Electric circuit breakers

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Crop Field Monitoring and Disease Detection of Plants in Smart Agriculture using internet of Things

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2022年第7期13卷 819-826页

作者： Balram, G. Kumar, K. Kiran KLEF Dept CSE Vaddeswaram Andhra Pradesh India

The internet of Things can be defined as the network of physical objects that have sensors, software, and other technologies built into them in order to communicate and exchange data with other systems and devices over the internet. In intelligent agricultural advancements to increase the quality of agriculture, the internet of Things (IoT) can be used. The manual monitoring of plant diseases is quite challenging. It demands enormous effort, expertise in the diseases of plants and the considerable time required for processing. The idea of automation in Smart Agriculture is implemented using the internet of Things (IoT). They help monitor the plant leaf conditions, control water irrigation, gather images using installed IoT system which includes NodeMCU, cameras, soil moisture, temperature sensors and detect diseases in plants on the datasets collected from leaves. To detect plant diseases, image processing is applied. The detection of diseases comprises the acquisition of images, image pre-processing, segmenting an image, extracting and classifying features. In addition, the performance of two machine-learning techniques, such as a linear and polynomial kernel multi hidden extreme machine (MELM) and a support vector machine (SVM), has been studied. This paper discussed how plant diseases could be detected via images of their leaves. This analysis seeks to validate a proposed system for an appropriate solution to the IoT-based environmental surveillance, water irrigation system management and an efficient approach for leaf disease detection on plants. The proposed multi hidden layers extreme machine classification delivers good performance of 99.12% in the classification of leaf diseases in comparison to the Support Vector Machine classification, which gives 98%.

关键词： Image acquisition segmentation feature extraction internet of Things plant disease

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Enhanced Deep Learning Architectures for Spectrum Sensing in Cellular networks 8

Enhanced Deep Learning Architectures for Spectrum Sensing in...

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8th International conference on Communication and Electronics systems, ICCES 2023

作者： Reddy, M. Mani Kumar Monisha, M. Vels Institute of Science Technology & Advanced Studies Department of Ece Chennai India

ISBN: (纸本)9798350396638

The expansion of 5G technologies and the internet of Things (IoT) increases the demand for spectrum efficiency. In future smart city and Industrial IoT (IIoT) applications, the number of wireless users and IoT devices will be excessive. The effect will be spectrum congestion. Moreover, the existing wireless technology has security flaws and inadequate service quality. Cognitive Radio (CR) technology intends to enhance the functioning of the existing system and meet the growing bandwidth needs of users. Spectrum awareness with identification of various signal patterns, is crucial in a cellular system environment. In this work, two deep neural network architectures are presented to distinguish 5G NR (new Rradio) signals from Long-Term Evolution (LTE) signals. This paper presents AlexNet and SqueezeNet architectures for the classification of NR signal with LTE signal. The analysis is conducted by training the classifiers with three distinct optimizers, including RMSprop (root mean squared propagation), ADAM (adaptive moment estimation) and SGDM (stochastic gradient descent with momentum), In addition, performance study is conducted at three distinct training frequencies to assess the classifiers' superiority. © 2023 IEEE.

关键词： network architecture

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On the performance of NOMA Assisted Semi-Grant-Free Transmission in Satellite systems

On the Performance of NOMA Assisted Semi-Grant-Free Transmis...

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IEEE conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity

作者： Kong, Huaicong Tan, Miaomiao Guo, Yan Lin, Min Han, Lve Nanjing Univ Posts & Telecommun Coll Telecommun & Informat Engn Nanjing 210003 Peoples R China

ISBN: (纸本)9798350310900

This paper investigates a semi-grant-free (SGF) access scheme for satellite communication systems, where one earth station (ES) and many mobile terminals (MTs) desire to access the satellite network simultaneously via uplink non-orthogonal multiple access (NOMA). We first propose two NOMA assisted SGF transmission schemes according to the availability of different channel state information (CSI). When perfect CSI is available, the satellite broadcasts an instantaneous access threshold to all MTs to enable dynamic power control (DPC), thus guaranteeing the quality of service of the ES. Otherwise, with the introduction of a statistical access threshold, a novel DPC with probability constraint is proposed to fulfill a satisfactory transmission. Next, we propose a new probability density function to characterize the shadowed-Rician distribution with estimation error, with which closed-form system throughput expressions under the proposed schemes are derived. Finally, computer simulations validate the effectiveness and superiority of our analysis and reveal the impact of CSI errors on the system performance.

关键词： Dynamic power control non-orthogonal multiple access satellite communications semi-grant-free transmission

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Integration of IoT for MANET network Security 1

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3rd International conference on Mobile Radio Communications and 5G networks, MRCN 2022

作者： Chetna Shikha Gupta, Sunil Kaur, Tejinder Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura India

ISBN: (数字)9789811979828

ISBN: (纸本)9789811979811

MANET wireless network has proven to be a valuable tool in various communication applications. It has risen in popularity in recent years due to considerable advancements and the MANET network design presents the maximum difficulty. Recently, concerns about latency and availability have been worsened because of continual form and characteristic modifications, which have resulted in terms of performance and service quality difficulties. Self-organizations are the ones who have de-centralized MANET and without centralization, participating nodes are free to migrate. So, this paper undertakes a study to understand IoT for MANET network security where nodes can transit from being a host to become a router at any moment. This complicates the transmission of data packets among nodes in a de-centralized mobile ad-hoc network. Due to the nodes’ proclivity for self-organization, MANET networks offer both advantages and disadvantages. This along with simplifying network maintenance also changes the topology, but data transit must be authorized. MANET may also be used to connect to bigger networks like the internet. However, there are no intelligent devices that can transmit data among machines. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： network security

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An Improved Sliding Mode control Scheme for T-type Rectifier Based on Deadbeat control 4

An Improved Sliding Mode Control Scheme for T-type Rectifier...

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

作者： Wang, Ziyu Chen, Alian Liu, Tong Ren, Qicai Shandong Univ Sch Control Sci & Engn Jinan Peoples R China

ISBN: (纸本)9781665489577

The power router (PR) for the low-voltage distribution network is the core equipment of energy internet (EI). As the connector between the power grid and DC bus of PR, the performance of the rectifier on the grid side and DC side will directly affect the PR. The traditional linear control strategy will deteriorate system performance in terms of the rectifier. Therefore, taking the three-level T-type rectifier (3LT(2)R) as the object, this paper proposes a double loop nonlinear control strategy. The inner current loop is a simplified deadbeat predictive control strategy based on improved space vector pulse-width modulation (SVPWM). The inner loop is designed to improve the dynamic performance of the grid side of the system and reduce the computational burden of the controller by changing the coordinate system of vector synthesis. And the outer voltage loop is a variable exponent sliding mode controller (SMC) based on an integral sliding mode surface. It is designed to ensure the robustness of the DC side of the 3LT(2)R and to weaken the chattering of SMC. Simulation and experimental results verify the effectiveness of the proposed strategy.

关键词： T-type rectifier deadbeat predictive current control sliding mode variable structure the variable index approach law

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Exploration and Application of Cloud-network Integration control Architecture in Industry 16

Exploration and Application of Cloud-Network Integration Con...

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2023 16th International conference on Computer and Electrical Engineering, ICCEE 2023

作者： Sun, R.Q. Zhang, Y. Liu, L. Qin, D.W. Liu, J.W. Wu, X.N. Ansteel Group Beijing Research Institute Co. Ltd. Beijing102200 China Ansteel Group Automation Co. Ltd. Liaoning Anshan114001 China

Cloud-network integration(CNI) is an inevitable choice to enhance the supply capacity of industrial internet. In traditional industrial control systems, there are problems such as insufficient depth of perception, insufficient connectivity and insufficient analytical predictability. Firstly, an industrial CNI control architecture is proposed in this paper. Then a software-defined PLC integrated development & runtime environment based on the cloud framework is developed and deployed on a private cloud platform. An efficient 5G private network is created to facilitate wireless omnidirectional connectivity of cloud PLC. The problems of complex industrial field circuits and difficult to unify protocols are solved through 5G intelligent terminal devices. Finally, the cloud control architecture and software platform are successfully applied to the remote centralized control of the tundish preparation system in a steel enterprise's two steelmaking plants. The results shows that the innovative system architecture meet the requirements for high-performance access, transmission, computing and storage in industrial plants, which achieves the cloud control of entire process industrial automation production. © Published under licence by IOP Publishing Ltd.

关键词： Industrial plants

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Demonstration of Real-Time Jitter Buffered Architecture for Motion control in All-Photonics network

Demonstration of Real-Time Jitter Buffered Architecture for ...

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IEEE Global Communications conference (GLOBECOM)

作者： Koyasako, Yushi Hatano, Tomoya Yamada, Takashi Shimada, Tatsuya Yoshida, Tomoaki NTT Corp NTT Access Network Serv Syst Labs Yokosuka Kanagawa Japan

ISBN: (纸本)9781665435406

Although demand has been increasing for accurate remote motion control of IoT devices, jitter can negatively impact control performance. Jitter buffering has been studied as a solution, but it is necessary to obtain delay values in real-time. In this study, we propose an architecture that uses collected network information to realize jitter buffering suitable for user-managed IoT device control applications in the All-Photonics network. The architecture collects end-to-end delay values in real-time, implements jitter buffer based on the obtained values, and performs more detailed delay compensation control based on fixed delay values. This allows network conditions, which are normally out of user's control, to optimize the user's IoT device control application. We construct a basic motor-based experimental system around an FPGA and verify the effectiveness of the proposed architecture. An experiment shows that the proposed architecture holds jitter to any practical set value and achieves successful motor control within 0.62 s, whereas it cannot be controlled when there is no jitter buffer.

关键词： internet of Things Edge Computing Jitter Buffer Delays networked control systems Motion control

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