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A Cloud Computing Model for Libyan Higher Education Institutions

A Cloud Computing Model for Libyan Higher Education Institut...

引用

Sciences and Techniques of Automatic control and computer Engineering MI-STA, IEEE international Maghreb Meeting of the conference on

作者： Najwa A. Imragaa Entesar H. Alfsai Bothaina F. Gargoum Abdelsalam M. Maatuk Department of Computer Science University of Benghazi Benghazi Libya Department of Software Engineering University of Benghazi Benghazi Libya

Cloud computing is now changing the IT landscape and playing a significant economic role for companies that develop software. Users of educational resources now have more flexibility and access because of cloud computing. Students, faculty members, and support staff all use cloud computing in academic institutions. Internet-based computing, known as "Cloud Computing," allows users to share IT resources securely and efficiently. The use of cloud computing in universities has many benefits, such as access to files, e-mail, databases, educational resources, and search applications as requested by faculty, administrators, staff, and students at a university alike. Moreover, cloud computing significantly reduces the complexity and cost of IT in universities. This paper discusses cloud computing, its structures, types, and services it provides, and then examines the possibility of implementing cloud services in universities and discovers the various opportunities and benefits of cloud services. The paper presents a proposed model for cloud computing for Libyan universities, which was applied to the University of Benghazi and produced satisfactory results and facilitated a lot of university work. Through the application of the proposed model, effective management of the technological needs of the Libyan university has been achieved, such as connecting programs and providing a platform for development, data storage and computing.

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VSC-HVDC decoupling control strategy for enhancing system inertia and damping

VSC-HVDC decoupling control strategy for enhancing system in...

引用

Data Science and computer Application (ICDSCA), IEEE international conference on

作者： Yihua Zhu Yechun Xin Ziqiang Wang Dongxu Chang Jiawei Yu Yanxu Wang Electric Power Research Institute Southern Power Grid State Key Laboratory of HVDC Guangzhou China Northeast Electric Power University Jilin City China

Aming at the frequency stability problem caused by the low inertia characteristics of electronic power system, this paper proposes a self-synchronization decoupling control strategy for active support of system inertia in flexible DC power transmission system from the perspective of exploiting the regulation potential of power transmission link. By analyzing the available energy of the inertia support of the flexible DC system, the feasibility of using its energy margin to improve the level of the receiving-end grid's inertia is quantitatively analyzed. By analogy with the rotor motion equation of the synchronous generator, a self-synchronization control strategy of the converter station taking into account the energy margin of each energy storage element in the flexible DC system is proposed, which can actively support the receiving-end grid inertia while realizing self-synchronization without phase-locked loop. On this basis, considering the influence of DC voltage safety constraint on capacitor energy margin utilization, the decoupling control strategy and parameter design method of DC voltage and submodule capacitor voltage of flexible DC system are proposed, through the adaptive adjustment module input quantity and capacitance voltage reference, implement flexible DC system make full use of the energy storage element energy margin, The recovery strategy and start-up criterion are designed to effectively improve the level of inertia and frequency stability of the receiving power grid.

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Design of Online ESN-ADP for Dissolved Oxygen control in WWTP 3rd

Design of Online ESN-ADP for Dissolved Oxygen Control in ...

引用

3rd international conference on Neural Computing for Advanced Applications, NCAA 2022

作者： Wan, Yingxing Yang, Cuili Liang, Yilong Beijing University of Technology Chaoyang District Beijing China

ISBN: (纸本)9789811961410

In this paper, the online optimal control is discussed to control the dissolved oxygen concentration (DO) in wastewater treatment process (WWTP). The echo state network (ESN) and the online adaptive dynamic programming (ADP) (ESN-ADP for short) are combine, which is adapted to the nonlinear and dynamic conditions of WWTP. Firstly, the ESN is proposed to replace the conventional BP network, which is not proper for the nonlinear, dynamic property of WWTP. Then, the online training algorithm is designed for ESN to ensure the adaptive adjustment ability of ADP controller. The simulation results illustrate that the ESN-ADP controller has obtained better control performance other control schemes. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： controllers

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Taguchi’s design’s Optimization of Commercial Steel Welding made by Semi-Automated GTAW

Taguchi’s design’s Optimization of Commercial Steel Weldin...

引用

Sciences and Techniques of Automatic control and computer Engineering MI-STA, IEEE international Maghreb Meeting of the conference on

作者： Saleh Elfallah Faculty of Engineering Libyan International Medical University Benghazi Libya

GTAW is a widely used welding process in industry. It has advantageous mechanical and metallurgical properties over other welding processes such as GMAW. In order to obtain optimal welding conditions, it’s vital to optimize the welding parameters. Commercial steel also referred as mild steel is often used for construction that needs to yield tensile strength. The later was reported to be sensitive to the hardness of welding. The work is to investigate the influence or effect of the transverse tensile strength and hardness of mild steel welding made by semi-controlled GTAW at a variation of groove shape, welding current, and welding speed. The analysis made with Taguchi’s design orthogonal array technique to demonstrate the effect of the welding parameters and optimize these parameters on the tensile strength of the welding. The results showed that higher transverse tensile strength showed higher welding hardness (i.e., 232 MPa and 2555 VHN shown at V-shaped welding). The tensile strength and hardness increased at lower welding current (170 A), V-shaped welding, and higher welding speed (150 mm/min). This combination has shown optimal conditions for stronger and highly effective GTAW welding. The increased internal stresses in welding caused lower transverse tensile strength and hardness of welding. Possibly the lower interpass heat input to increase and thus, lower transverse tensile strength of welding.

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Parameter Measurement Method of PD Radar Based on Non-coherent Accumulation 3

Parameter Measurement Method of PD Radar Based on Non-cohere...

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2022 3rd international conference on Signal Processing and computer Science, SPCS 2022

作者： Wang, Cong Hu, Longbiao Fan, Mengqiu Yang, Qiu Science and Technology on Electronic Information Control Laboratory Sichuan Chengdu610036 China Unit 95786 of PLA Sichuan Chengdu614000 China

With the improvement in the anti-reconnaissance performance of the new system radar, the signals sent by the radar are more and more difficult to be detected, which brings new challenges to electronic reconnaissance. In order to find the enemy earlier, the receiver usually needs high sensitivity to detect weak signals. Therefore, according to the characteristics of airborne PD radar pulses, a method of PD radar parameter measurement based on non-coherent accumulation is proposed, which is of great significance to improve the receiver sensitivity. In this paper, the main peaks' solution of PD Radar spectrum after non-coherent accumulation and the method of pulse parameter measurement are introduced in detail. Finally, the effectiveness of this method is verified by simulation experiments. © Published under licence by IOP Publishing Ltd.

关键词： Parameter estimation

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Performance Analysis of LiDAR Data Processing on Multi-Core CPU and GPU Architectures

Performance Analysis of LiDAR Data Processing on Multi-Core ...

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Computing and Machine Intelligence (ICMI), international conference on

作者： Mohammad S. Alzyout Abd Alrahman AL Nounou Yashwanth Naidu Tikkisetty Shadi Alawneh Electrical and Computer Engineering Department Oakland University Rochester MI USA

ISBN: (数字)9798350372977

ISBN: (纸本)9798350372984

The projection process of the LiDAR 3D Point Cloud data is one of the crucial steps in computer vision applications. It involves several steps to achieve the finalized accurate results. Many current studies leverage the benefits of using a GPU in the computing capability. This paper presents a comparative study of the implementation and testing of this process on single-core, multi-core CPU and GPU architectures. The computational efficiency of each platform is evaluated through a series of benchmarks, including data extraction, segmentation, and trans-formation tasks. Our analysis reveals the inherent parallelization benefits of GPUs in handling large-scale point cloud data, while also considering the accessibility of multi-core CPUs. Also, a comparison between the NVIDIA RTX 3070 and NVIDIA RTX 4060 is provided. The RTX 3070 showed roughly a speed up of 8 times over the RTX 4060. In addition, the Multi-core implementation outperforms up to 10 times over the single-core. These results overall show the benefits of using the Multi-core and the GPU accelerating approaches to this application, with the availability for further improvements.

关键词： Point cloud compression Laser radar Three-dimensional displays Parallel programming Graphics processing units computer architecture Performance analysis

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Analysis of Machine Learning for Recognizing Hand Gestures

Analysis of Machine Learning for Recognizing Hand Gestures

引用

Advance Computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Anand Kumar Sharma A Suresh Kumar Amandeep Nagpal Rajesh Singh DasariVeera Reddy Anupama Chadha Department of Information Technology Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology Hyderabad Department of CSE Graphic Era Deemed to be University Lovely Professional University Phagwara Uttaranchal Institute of Technology Uttaranchal University India School of Computer Science and Artificial Intelligence SR University Warangal Telangana India Department of Computer Applications ManavRachna International Institute of Research and Studies Faridabad Haryana

The medical field and other research areas fields heavily rely on artificial intelligence (AI) and machine learning (ML). Hand gesture recognition (HGR), which is a straightforward approach for interacting with machines, has drawn the attention of numerous researchers in the context of AI. Utilizing ML technique, HGR is carried out. Both the image technique and the design approach are parts of it. In the image technique, the hand picture is rebuilt utilizing the attributes of the images. However, when using the model-based approach, the image is recreated using many models, including volumetric, geometric, and others. The key difficulty in gesture control continues to be the ML individual's complexity and preparation time. Its accuracy is used to assess the HGR accuracy. Its precision is used to assess the HGR overall system performance. The many techniques and algorithms utilized in gesture control are covered in detail inside this work.

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Research on a mobile terminal-based control platform for the delivery and management of power material transportation 3

Research on a mobile terminal-based control platform for the...

引用

3rd international conference on Advanced Materials and Intelligent Manufacturing, ICAMIM 2022

作者： Song, Binghu Chen, Jun Zhang, Yang Chen, Zhipeng Lin, Youquan State Grid Gansu Electric Power Company Materials Division Gansu Lanzhou730050 China

Some of the power material transportation delivery control platforms have the defect of too small throughput in the actual application scenarios, therefore, a mobile terminal-based power material transportation delivery control platform is designed. The hardware part: the mobile terminal is used to arrange the necessary equipment for operation monitoring, such as monitoring screens and servers, and is connected to the industrial control mainframe through a USB connection cable and to GPS devices;the software part is on the basis of the established reserve strategy, the process of power material transport delivery control is improved, the number of profitable stored within the cross item is calculated for each demand entry and the corresponding inventory entry, and the balance profitability constraints are extracted, isolating the base stations and optimizing the system's intelligent inventory function. Test results: The power material transport delivery control platform in the paper has a higher average throughput than the other two power material transport delivery control platforms: 26.344req/s and 24.495req/s respectively, indicating a higher practical value of the designed power material transport delivery control platform after making full use of mobile terminals. © Published under licence by IOP Publishing Ltd.

关键词： computer terminals

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A Novel NLOS Suppression Algorithm for Indoor Location based on FCM and REKF 3

A Novel NLOS Suppression Algorithm for Indoor Location based...

引用

2021 3rd international conference on Robotics, Intelligent control and Artificial Intelligence, ICRICA 2021

作者： Jin, Jiawei Cheng, Long Zhou, Jiabao School of Computer and Communication Engineering Northeastern University at Qinhuangdao Hebei China

Abstarct. The indoor positioning based on wireless sensor networks (WSN) has become one of the research hotpots. However, the NLOS propagation of the distance signals greatly challenges the accuracy and robustness of the algorithm. In this paper, we take the suppression of NLOS as the core goal and proposed the FCM-REKF-based positioning method. We firstly identify the signal states through the fuzzy c-means clustering (FCM), for the measurement distance judged to be NLOS, a refactoring method based on FCM is used. Then the corrected distance is smoothed by Kalman filter, and the Robust Extended Kalman Filter is used to calculate the final position. The simulation results show that our method has higher accuracy than EKF, REKF and IMM-EKF under NLOS environment. © Published under licence by IOP Publishing Ltd.

关键词： Extended Kalman filters

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Face Detection and Classification using Convolutional Neural Network with Channel Attention Module

Face Detection and Classification using Convolutional Neural...

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Mobile Networks and Wireless Communications (ICMNWC), IEEE international conference on

作者： Zainab abed Almoussawi K Sudheer Kumar T. Veena Myasar Mundher Adnan Muhammed Basim Jabar College of Islamic Science Ahl Al Bayt University karbala Iraq Zainb School of Computer Science & Artificial Intelligence SR University Warangal Telangana India Department of Information Technology S.A. Engineering College Chennai India The Islamic University Najaf Iraq National University of Science and Technology Dhi Qar Iraq

Automatic face detection is one of the most challenging in computer vision, FER is a wide range of application in human- computer interaction, behavior, and human expression. However, most of these related researches use general image classification network, which lead inadaptability while applying to face detection. This paper proposed a deep learning using Convolution Neural Network (CNN) with Channel Attention Module. The FER 2013 dataset is utilized in this research for effective classification of face detection. The Data Augmentation is used in this experiment for data pre-processing and feature extraction using high feature generation pyramid (HFGP) and low feature generation pyramid (LFGP). Face detector using Single-Short multi biox detector (SSD) and ResNet 10 based face detection. Then, face detector are given imput to channel attention module classifer which utlized Deep Learning (DL) for effective classification. The obtained result show that the proosed DL using CNN model achieves better accuracy of 99.90% on FER 2013 dataset which ensure accurate classification compared to other existing methods like Engagement Index, Deep Neural Net and Zoning based model.

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