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检索条件"任意字段=7th International Conference on Computing in Engineering and Technology, ICCET 2022"

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EdgeCloudSim Based computing Resource Configuration Strategy Analysis of Cloud-Edge System in Power Distribution Internet of things 7

EdgeCloudSim Based Computing Resource Configuration Strategy...

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7th Asia conference on Power and Electrical engineering, ACPEE 2022

作者： Zhang, Xin Duan, Mengyong Xu, Ruifeng Rao, Huan Deng, Jingzhu Guangdong Power Grid Co. Ltd. Dongguan Power Supply Bureau Dongguan China

ISBN: (纸本)9781665418195

the cloud-edge system in the power distribution Internet of things (PDIoT) is the key technology to support the vision of comprehensively controllable power system. In order to evaluate the performance of the cloud-edge system in the PDIoT, this paper proposes the power distribution service model and information interaction model based on the architecture and service of the cloud-edge system in the PDIoT. then, three kinds of computing resource configuration strategies are proposed, which includes single cloud configuration strategy, single layer configuration strategy and double layer configuration strategy. Finally, different configuration strategies are compared and analyzed on the simulation platform of EdgeCloudSim. the proposed method provides an effective tool for the analysis of cloud-edge system in the PDIoT. © 2022 IEEE.

关键词： Internet of things

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A Collaborative Grouping Aggregation Query Scheme on Heterogeneous computing Systems 7

A Collaborative Grouping Aggregation Query Scheme on Heterog...

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7th international conference on Cloud computing and Big Data Analytics, ICCCBDA 2022

作者： Zhou, Kailai Feng, Xinwei College of Software Engineering Zhengzhou University of Light Industry Zhengzhou China

ISBN: (纸本)9781665487115

Aggregation is one of the most common operations in data analytics systems, but complex aggregation query like grouping aggregation on massive data sets is a relatively expensive operation. thus, improving the efficiency of aggregation query has become a hot topic for database researchers. the emergence of massively parallel coprocessors provides a way to solve this issue. Prior works focus mainly on aggregation optimization using one kind of coprocessors, but little is known about the performance impact on the heterogeneous computing system with diverse coprocessors, such as GPGPUs, MICs or FPGAs. To investigate the potential benefits of the use of heterogeneous computing systems in improving the performance of aggregation operation, in this paper, we design a grouping aggregation scheme with GPUs and MICs to work collaboratively. the scheme includes task partitioning method, data transfer mode, and aggregation algorithm optimization. To verify the effectiveness of our collective aggregation scheme, we performed a series of experiments on a heterogeneous platform with one Intel Xeon Phi coprocessor and one NVIDIA GPU coprocessor, and the results have shown that our aggregation processing strategy for the heterogeneous systems is effective and can achieve noticeable performance improvement comparing the CPU-only parallel computing system, even taking the communication overhead via PCI Express bus into account. © 2022 IEEE.

关键词： Microwave integrated circuits Databases Collaboration Parallel processing Heterogeneous networks Hardware Partitioning algorithms

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Day Ahead Demand Response Using Load Shifting Technique in Presence of Increased Renewable Penetration 7

Day Ahead Demand Response Using Load Shifting Technique in P...

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7th IEEE international conference for Convergence in technology, I2CT 2022

作者： Arun, C. Aswinraj, R. Bijoy, M.T. Nidheesh, M. Rohikaa Micky, R. College of Engineering Department of Electrical and Electronics Engineering Kerala Calicut Vadakara India

ISBN: (纸本)9781665421683

Demand side management strategies help to reduce the peak demand, thereby reducing the need to operate at high cost and with high emission generating units. In this work, a priority-based load shifting demand response (PBLSDR) is proposed to reduce the gap between demand and supply in presence of increased renewables. the case studies are expected to provide an insight into load shifting and curtailments applicable for residential customers in presence of renewable energy sources, which can be interpreted as demand response potentials in residential markets with automated demand response. © 2022 IEEE.

关键词： Renewable energy resources

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Approach to the engineering Education applying NASA Systems engineering 7

Approach to the Engineering Education applying NASA Systems ...

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7th international conference on Business and Industrial Research (ICBIR)

作者： Komatsu, Masaaki Aburatani, Hideaki Teawhim, Sanit Natl Inst Thecnol NIT KOSEN Headquarters Off 701-2 Higashi Asakawa Hachioji Tokyo 1930834 Japan King Momgkuts Inst Thecnol Ladklabang KMITL KOSEN KMITL 1 Soi Chalongkrung 1 Bangkok 10520 Thailand

ISBN: (纸本)9781665494755

KOSEN-KMITL, the first Japanese style KOSEN in thailand, was established on May 2019 in King Mongkut's Institute of technology Ladkrabang (KMITL). KOSEN-KMITL is an engineering, technology, and Innovation work force development project, to support, raise the investment and increase the industrial capacity of the thai industry region. At the establishment of this college, we need to design, develop, and implement all the engineering related subject starting from zero. We have no good reference to establish the engineering Design course. the author of this paper, who had engaged in NASA/JAXA international Space Station for a long time, proposed to apply the "NASA Systems engineering Handbook" to the engineering Design Course in KOSEN-KMIT. NASA had developed and published their "NASA Systems engineering Handbook" in 2007 and NASA goes public it worldwide under the NASA Science and Technical Information (STI) program. this NASA Systems engineering Handbook is expected to provide the technical guidance and information on systems engineering that will be beneficial to the aerospace community and other related industrial community. On the other hand, this handbook would be a good textbook for the University and college students who are in the engineering course and study the engineering design, system engineering, and other engineering related subject. We also apply this NASA System engineering Handbook to the case study practice in the course of "Introduction to engineering Design," "Introduction to Design Approach," "Reverse engineering" for the 1st and 2nd grade students and "PBL" for the 3rd grade students. As the result, students can learn the project life cycle process from concept study to critical/final design and apply these engineering approach to their projects for the 1st grade, 2nd grade, and 3rd grade students. It would be very important to develop the skill and bring up the engineering mind-set as early stage in the engineering course for the younger studen

关键词： engineering design thai-KOSEN KOSEN-KMITL systems engineering engineering approach

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Advancing Residential Energy Management: Integrating Renewable Resources and Vehicle-to-Grid Systems for Optimized Electrical Grid Performance 7

Advancing Residential Energy Management: Integrating Renewab...

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7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Chandrashekar, Rakesh Rani, D. Shobha Nijhawan, Ginni Balaram, A. Chaturvedi, Prateek Babu, B. Sankara New Horizon College of Engineering Department of Mechanical Engineering Karnataka Bangalore India Institute of Aeronautical Engineering Department of Electrical and Electronics Engineering Telangana Hyderabad India Lovely Professional University Punjab Phagwara India Mlr Institute of Technology Department of Computer Science & Engineering Telangana Hyderabad India Amity University Amity School of Engineering and Technology Uttar Pradesh Greater Noida India Griet Department of Computer Science and Engineering Bachupally Hyderabad India

ISBN: (纸本)9798350350067

the term 'smart grid' describes the future generation of electrical power networks, which are very complicated systems. It must take into account all aspects of the electrical system, increasing its intelligence and adaptability. In response to shifts in the electrical market, this idea is put out with the intention of controlling the rising demand while guaranteeing higher service quality and enhanced safety. this research presents an urban scenario that incorporates dispersed energy sources into a smart grid. the research incorporates renewable energy sources like solar panels and tiny windmills into the system, as well as battery storage and grid-connected vehicles that can power the electrical grid by drawing electricity from the storage device. So, to maximize the energy production and absorption systems as well as the recharging and discharging time for a home user's electric car, a mixed integer linear programming is proposed. Additionally, a number of case studies are provided by changing important variables using the Taguchi technique of design of experiments in order to identify the best solution and demonstrate how each influences the system's complexity. © 2024 IEEE.

关键词： Vehicle-to-grid

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Machine Learning to Aid in the Process of Disease Detection and Management in Soilless Farming 7

Machine Learning to Aid in the Process of Disease Detection ...

引用

7th IEEE international conference for Convergence in technology, I2CT 2022

作者： Fernando, S.D. Gamage, Anjalie De Silva, Dhammika H Sri Lanka Institute of Information Technology Faculty of Computing Malabe Sri Lanka

ISBN: (纸本)9781665421683

this research aims at enhancing the methods and techniques that are being used in disease detection when it comes to soilless farming. Soilless farming is quite famous among the Sri Lankan farmers farming in urban areas. A mobile application is launched by us and this application is capable of identifying diseases in plants, therefore, farmers do not have to rely on their years of experience to identify the diseases. A novice farmer may struggle to say what is wrong with their plants, while another farmer with many years of experience may say what the disease is with no hesitation. Both those types of farmers benefit from our mobile application equally. the said mobile application consists of four components and each of them focuses on a different service. One of those components is to detect and manage diseases in plant leaves and that component is what this research paper showcases. this particular component allows the user to capture live-images of plant leaves. then the application processes the captured image to identify if the plant is suffering from a disease. After that, it generates a report with a set of treatments. It further analyses and alerts the user if this disease detected is going to affect the harvest. © 2022 IEEE.

关键词： Machine learning

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Survey of Techniques for Pulmonary Disease Classification using Deep Learning 7

Survey of Techniques for Pulmonary Disease Classification us...

引用

7th IEEE international conference for Convergence in technology, I2CT 2022

作者： Dawadikar, Aditya Srivastava, Anshu Shelar, Neha Gaikwad, Gaurav Pawar, Atul Pimpri Chinchwad College of Engineering Department of Computer Engineering Pune India

ISBN: (纸本)9781665421683

the field of medical science is getting more effective with emerging trends of computer science technologies like AI, ML, and DL. the area where these technologies play an important role is the detection or recognition of diseases. this paper discusses existing methodologies and various steps involved in the process of detection/recognition of pulmonary diseases using lung sound. the paper is divided into 4 sections. these sections include general steps of any recognition system using lung sound and study of existing methods. the paper helps to overview the different approaches/experiments and build new and effective ones which can give better accuracy. © 2022 IEEE.

关键词： Deep learning

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Development and Design of Semiconductor Numerical computing Software Based on Monte Carlo and Finite Element Method 7

Development and Design of Semiconductor Numerical Computing ...

引用

2022 7th international conference on Electronic technology and Information Science, ICETIS 2022

作者： Yang, ZhenBing Liu, DongFeng Chen, GuoWei School of Information Engineering Guangdong University of Technology Guangzhou510006 China

ISBN: (纸本)9783800757794

the main work of this paper is to combine the advantages of Finite Element Method (FEM) and Monte Carlo (MC) method in semiconductor numerical modeling and calculation, and develop and design a semiconductor numerical calculation software based on the combination of FEM and MC method. It mainly includes a complete set of semiconductor numerical calculation tools, such as mesh discrete module, partial differential equation (PDE) module, MC module and visualization (VTK) module. Different from the general MC method, the Poisson equation coupling solution module in the MC method is solved by the FEM, which can adapt to various irregular discrete calculations. the device discretization can be optimized according to the actual needs, so that relatively accurate calculation results can be obtained while consuming less resources. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Monte Carlo methods

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Error Compensation based Approximate Booth Multiplier with Improved Booth Encoder and Low Complexity Compressor 7

Error Compensation based Approximate Booth Multiplier with I...

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7th IEEE international conference on Electronic Information and Communication technology, ICEICT 2024

作者： Zhu, Zhiming Huang, Junqi Zhang, Hongyi Jiang, Huali Gao, Xingen Xiamen University of Technology School of Opto-Electronic and Communication Engineering Xiamen China

ISBN: (纸本)9798350384437

Approximate multipliers reduce energy consumption in image processing by simplifying circuits, thereby introducing output errors. In this paper, three approximate Booth multipliers, including CABM1(Configurable Approximate Booth Multiplier 1), CABM2, and CABM3, are proposed by designing a booth encoder based on the value replacement of the Karnaugh map to reduce gate count. then, new approximate compressors are presented for CABM2 to compensate for errors produced by the proposed booth encoder. Next, based on CABM2, the required resources of CABM3 are further reduced by introducing an OR gate. the output approximation of proposed multipliers is adjustable by configuring the number of applied approximate encoders. the exhaustive simulation and FPGA hardware implementation results show that compared with previous multipliers, CABM1 achieves a 41.7% reduction in MaxED (maximum error distance). Also, the NMED (Normalized mean error distance) for CABM2 decreases by 51.8%. Additionally, CABM3 reduces 51.1% NMED. Finally, the image multiplication results show that the PSNR reaches around 32dB, 2dB higher than previous designs;with SSIM remaining above 98%. © 2024 IEEE.

关键词： Multiplying circuits

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Plant Diseases Detection Using Image Processing and Suggest Pesticides and Managements 7

Plant Diseases Detection Using Image Processing and Suggest ...

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7th IEEE international conference for Convergence in technology, I2CT 2022

作者： Sritharan, Lathusha Anjanan, Manikavasagar Gamage, Anjalie Sri Lanka Institute of Information Technology Faculty of Computing Malabe Sri Lanka

ISBN: (纸本)9781665421683

Various plant diseases affect farmers all over the world and there is a very small amount of solutions available online for free in order to assist. In Sri Lanka, in order to address this issue, we have done a study which outputs a mobile application which utilizes image processing and recommend pesticides according to corresponding disease. the disease detection method includes image acquisition, image pre-processing, image segmentation, feature extraction, and classification. this study looked at methods for identifying plant ailments using photos of their leaves. this work also presented unique segmentation and feature extraction techniques for plant disease identification. For feature extraction, the CNN algorithm is utilized. this research paper may be a revolutionary approach to diagnosing plant illnesses by employing a deep convolutional neural network that has been trained and fine-tuned to suit a database of a plant's leaves gathered independently for distinct plant diseases. At the end of the study we achieved an accuracy of 98 percent in detecting the plant diseases and further on implemented mobile system which can suggest pesticide accordingly. © 2022 IEEE.

关键词： Feature extraction

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