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Collaborative Task Processing and Resource Allocation Based on Multiple MEC Servers 19th

Collaborative Task Processing and Resource Allocation Based...

19th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023

作者： Shi, Lei Feng, Shilong Ji, Rui Xu, Juan Ding, Xu Zhan, Baotong School of Computer Science and Information Engineering Hefei University of Technology Hefei230009 China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei230009 China Institute of Industry and Equipment Technology Hefei University of Technology Hefei230009 China Taian Hualu Metalforming Machine Tool Co. Ltd. Shandong Taian271000 China

ISBN: (纸本)9783031545207

Mobile Edge Computing (MEC), an emerging computing paradigm, shifts computing and storage capabilities from the cloud to the network edge, aiming to meet the delay requirements of emerging applications and save backhaul network bandwidth. However, compared to cloud servers, MEC servers have limited computing and storage capabilities, which cannot meet the massive offloading demands of users during high-load periods. In this context, this paper proposes a multi-ENs collaborative task processing model. The model aims to formulate optimal offloading decisions and allocate computing resources for tasks to minimize system delay and cost. To solve this problem, we propose an online algorithm based on Lyapunov optimization called OKMTA, which can work online without the need for predicting future information. Specifically, the problem is formulated as a mixed-integer nonlinear programming (MINLP) problem and decomposed into two subproblems for solution. By using the Lagrange multiplier method to solve the computing resource allocation problem of tasks, and by using matching theory to solve the offloading decision problem of tasks. The simulation results show that our algorithm can achieve near-optimal delay performance while satisfying the long-term system average cost constraint. © ICST institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Resource allocation

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Intelligent Agricultural Drones Utilizing Nano-Fertilizer Dispensation for Precision Farming

Intelligent Agricultural Drones Utilizing Nano-Fertilizer Di...

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International Conference on communication, Computing and Internet of Things (IC3IoT)

作者： G Jayanthi W Nancy B. Umamaheswari R Chithrakkannan R Sujith S Sathya Prasanna Department of Instrumentation and control Engineering Sri Sairam Engineering college Department of Electronics and Communication Engineering Jeppiaar Institute of Technology Department of Electronics and Communication Engineering Sri Sairam Engineering college

ISBN: (数字)9798350352689

ISBN: (纸本)9798350352696

An innovative approach to precision agriculture through the integration of artificial intelligence (AI) and nano-fertilizer technology in an agricultural drone system. The proposed system aims to optimize crop yield, reduce environmental impact, and enhance resource efficiency by employing advanced AI algorithms for crop health assessment and nano-fertilizers for targeted nutrient delivery. The drone's real-time decision-making capabilities, coupled with precise dispensation of nano-sized fertilizers, contribute to sustainable farming practices. Field trials demonstrate promising results in terms of improved crop productivity, resource utilization, and minimized environmental footprint.

关键词： Productivity Soil Real-time systems Telecommunication computing Resource management Internet of Things Artificial intelligence

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Dual-Objective Optimization Scheduling Strategy Considering V2G Compensating Battery Capacity Under Photovoltaic Microgrid 6th

Dual-Objective Optimization Scheduling Strategy Considering ...

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6th PURPLE MOUNTAIN FORUM on Smart Grid Protection and control, PMF2021

作者： Wang, Hui Lv, Shuaishuai Ji, Xiu Meng, Xiangping Wang, Chunsong College of Electrical and Information Engineering Changchun Institute of Technology Changchun China National Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology Changchun China

ISBN: (纸本)9789811671555

In view of the large fluctuations in the output of photovoltaic microgrids, large energy storage capacity is required to solve the problem of stabilizing the load. In order to reduce energy storage investment costs, considering the energy storage characteristics of V2G, the range of decision variables, the constraints of power balance requirements and energy exchange strategies are given. Through the establishment of a coordinated scheduling model of battery and V2G in the photovoltaic microgrid with the dual goals of economy and grid-connected load fluctuation rate. There are four load modes of electric vehicles, namely none, disordered, transferring and V2G respectively. After realizing the optimal scheduling by using particle swarm optimization algorithm, the economic and safety benefits of power grid, micro-grid dispatching center and electric vehicle users are compared in the sub-mode. Finally, according to the analysis of the calculation examples, the two-level load curve and the economic income table under the four modes are solved. The comparative analysis shows that the introduction of V2G can replace some capacity batteries, so that the photovoltaic microgrid can be further optimized in terms of load peaks and valleys, tripartite economy and safety. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Vehicle-to-grid

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Research Progress of Bionic Water Strider Robot

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Recent Patents on Mechanical engineering 2022年第2期15卷 122-148页

作者： Jiang, Jingang Tan, Qiyun Yu, Xiaoyang Wu, Dianhao Yao, Liang Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin University of Science and Technology Harbin150080 China Intelligent Machine Institute Harbin University of Science and Technology Harbin150080 China School of Measurement-Control Tech and Communications Engineering Harbin University of Science and Technology Harbin150080 China

Background: The bionic water strider robot can achieve sliding, jumping, and other movements on the water surface, having advantages of small size, light weight, flexible movements, and other characteristics. It can detect the quality of water, investigate and search the water surface, and perform some other operations. It has a very broad range of applications and development prospects. Therefore, the trend of biomimetic water strider robots is attracting more and more attention. Objective: This study aimed to review the bionic water strider robot and introduce its classification, characteristics, and development. Methods: This paper reviews various productions and patents related to the bionic water strider robot from 2003 to the present. The sources of the papers include CNKI, Wanfang, Patent publication an-nouncement in China, Web of Science, IEEE, Elsevier, Springer-Verlag, Espacenet, and FPO IP Research & Communities. To obtain the results, an endnote was used for documentation, and citeSapce was used for visual analysis. Results: The mechanical structure of existing bionic water strider robots has been analyzed and com-pared. Furthermore, the typical characteristics are concluded. The main problems in its development are analyzed, and the development trend is foreseen. Furthermore, the current and future research prospects of the productions and patents on the bionic water strider robot are discussed. Conclusion: The optimization and development of the structure of the bionic water strider robot and the development of associated components help to improve the simulation of the water strider's motion and perform a better task in a complex water surface environment. In the future, with the improvement in the research, the bionic water strider robot will develop into miniaturization, intelligence, and integration. © 2022 Bentham Science Publishers.

关键词： Bionics

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End-to-End Trainable Deep Neural Network for Radar Interference Detection and Mitigation

End-to-End Trainable Deep Neural Network for Radar Interfere...

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IEEE International Conference on Radar

作者： Marvin Klemp Shengyi Chen Royden Wagner Martin Lauer Institute of Measurement and Control Systems Karlsruhe Institute of Technology Karlsruhe Germany Institute of Communication Acoustics Ruhr-Universität Bochum Bochum Germany

The automotive radar sensor is an essential sensor for intelligent transportation systems. However, the increasing number of such systems leads to mutual interference between sensors. Radar interference can be a severe disturbance, where targets within the victim radar are not perceived anymore if no countermeasures are taken. To prevent fatal injuries caused by this disturbance, several classical and deep-learning based methods to detect and mitigate radar interference have been proposed. We present an end-to-end trainable deep neural network for radar interference detection and mitigation. We evaluate different radar interference detection and mitigation methods on a large scale urban driving dataset using simulated radar interference. To our knowledge, this is the first end-to-end trainable architecture for interference detection and mitigation in the time domain. We show that our method achieves state-of-the-art results in interference detection and mitigation. Code for our method, reference methods, simulation, and the evaluation is available at https://***/KIT-MRT/ridam.

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Reliability Allocation of Cruise Ship Automation System Based on BBWM-AHP

Reliability Allocation of Cruise Ship Automation System Base...

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System Reliability and Safety engineering (SRSE), International Conference on

作者： Jiaxin Xiang Yongquan Sun Hao Wang Hongke Chen School of Measurement and Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China China Institute of Marine Technology & Economy Beijing China School of Mechanical and Electrical Engineering & Automation Xiamen University Tan Kah Kee College Zhangzhou China

ISBN: (数字)9798350356083

ISBN: (纸本)9798350356090

Limited reliability data during the development of cruise ship automation systems often leads to subjective weight allocation. This paper proposes an reliability allocation method based on the Bayesian best-worst method and analytic hierarchy process to address this challenge. By considering the system reliability indices, influencing factors, and units need to be allocated, a hierarchical model is established for reliability allocation based on the analytic hierarchy process. The Bayesian best-worst method compares elements in each layer, generating best and worst matrices based on decision-makers. These matrices determine optimal weights for each layer’s elements. The analytic hierarchy process determines relative importance weights among the system reliability index, influencing factors, and units. Consequently, the derived optimal weights are converted into allocation factors, which enable the allocation of reliability for cruise ship automation systems. This fusion-based approach presents a novel and effective method for optimizing reliability allocation during the development stage of complex systems.

关键词： Automation Analytic hierarchy process Reliability engineering Bayes methods Safety Reliability Resource management Indexes Marine vehicles Matrix converters

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Fe_(2)O_(3)-decorated boron/nitrogen-co-doped carbon nanosheets as an electrochemical sensing platform for ultrasensitive determination of paraquat in natural water

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Chinese Chemical Letters 2023年第1期34卷 446-451页

作者： Meng Li Xinzhong Wang Yelin Zhu Xiuxiu Jia Shusheng Zhang Huaisheng Wang Yongtao Li Guangzhi Hu School of Electronic Communication Technology Shenzhen Institute of Information TechnologyShenzhen 518172China College of Chemistry Zhengzhou UniversityZhengzhou 450000China Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental ScienceYunnan UniversityKunming 650504China School of Materials Science and Engineering Liaocheng UniversityLiaocheng 252000China Joint Institute for Environmental Research and Education College of resources and environmentSouth China Agricultural UniversityGuangzhou 510642China

Boron/nitrogen-co-doped carbon(BCN)nanosheets decorated with Fe_(2)O_(3) nanocrystals(Fe_(2)O_(3)–BCN)were cast on a glassy carbon electrode(GCE)and applied as an electrochemical sensor to effectively detect paraquat(PQ),a toxic herbicide,in aqueous environments.A linear experiment performed using square wave voltammetry(SWV)under optimized experimental conditions produced a decent linear relationship and a low detection limit(LOD)of 2.74 nmol/L(S/N=3).Repeatability,reproducibility,stability,and interference experiments confirmed that the Fe_(2)O_(3)–BCN/GCE system exhibited decent electrochemical sensing performance for PQ ***,the designed sensor showed high selectivity and a decent linear relationship with PQ concentration in natural water *** the best of our knowledge,this is the first study on the preparation of Fe_(2)O_(3)–BCN nanosheets for PQ *** proposed sensor can be employed as an effective alternative tool for distinguishing and processing PQ.

关键词： Paraquat Fe_(2)O_(3)-BCN Electrochemical sensor Contaminant detection

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Zero-Order-Term Suppression in Off-Axis Digital Holography Based Onbinary Kronecker-Product Image Interpolation

SSRN

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SSRN 2024年

作者： Yu, Xuelian Xie, Zhenfei Bao, Xingxu Niu, Jia Heilongjiang Provincial Key Laboratory of Quantum Control School of Measurement and Communication Engineering Harbin University of Science and Technology Harbin150080 China Harbin University of Science and Technology China

Off-axis digital holography can reconstruct the amplitude and phase of the imaging object by selecting the original term spectrum through filtering. A larger filtering range contains more effective information from the original term spectrum. However, the presence of zero-order term limits the size of the filter window and consequently affects the resolution of reconstruction. In this work, we propose a spliced spectrum method based on binary Kronecker-product image interpolation to better suppress zero-order term and improve the quality of reconstruction. Additionally, a rectangular Butterworth filter is also introduced to make the reconstructed images smoother and more regular. We demonstrate the feasibility of this method through simulations of a picture and experiments with two different imaging objects. © 2024, The Authors. All rights reserved.

关键词： Interpolation

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Design and Implementation of the Reactive Asset Administration Shell using JSON-based Database

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IFAC-PapersOnLine 2024年第9期58卷 211-216页

作者： J. Arm P. Cernocky V. Kaczmarczyk O. Bastan F. Rusnak P. Fiedler Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Central European Institute of Technology Brno University of Technology Brno Czech Republic

In 2021, the document Details of the Asset Administration Shell - Part 2 was released, which forms the standard for the REST API interface of the reactive AAS (Asset Administration Shell) technology. The standard contains a prescription of functions and their parameters for working with AAS of the reactive part in a standardized way. Design and implementation of the passive part, or the use of OPC UA is still the subject of discussions and solutions can be found to partial problems. In this article, we designed and implemented AAS using an internal database as a model provider and a basic set of REST API functions according to the standard. The implementation took place in the Python environment, building on the open source Python BasyxSDK. The proposal enables work with standard AAS data types in the form of the format used by JSON technology; the assumption is that AAS could be serialized in the form of JSON file. The result is a standalone piece of AAS that can be deployed on an dedicated device complying the principles of Industry 4.0.

关键词： AAS Asset Administration Shell REST API Industry 4.0 Python

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Asset Administration Shell as the Key Enabler of the Industry 4.0 Phenomenon

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IFAC-PapersOnLine 2024年第9期58卷 275-280页

作者： J. Arm V. Kaczmarczyk T. Benesl P. Marcon M. Jirgl Z. Bradac Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Central European Institute of Technology Brno University of Technology Brno Czech Republic

With the advent of the Industry 4.0 concept, the digitization of industrial production enterprises and the development of technologies that enabled the transformation of production into a so-called smart factory accelerated. One of the core components of this modern factory is the I4.0 component consisting of a resource and its virtual envelope (AAS). It is the virtual envelope that forms the complex digital twin of the resource and enables interaction with the environment. The AAS standard is gradually being formed, while there are already parts enabling the design and implementation of the so-called passive part of AAS. Using the theory, the original idea is transformed into a semi-formal description, which can already be implemented in various applications. Other technologies such as OPC UA, REST API, TSN are connected with AAS and its deployment, which ensure communication and the implementation itself. This paper discusses various aspects that are related to the role, design and implementation of AAS in various applications.

关键词： AAS Asset Administration Shell Industry 4.0 OPC UA Digital Twin

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