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检索条件"任意字段=IEEE SSD International Multi-Conference on Systems, Signals and Devices"

共 321 条记录，以下是81-90 订阅

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Academic Evaluation System Using Adaptive Categorized and Authenticated Recommendation 21

Academic Evaluation System Using Adaptive Categorized and Au...

引用

21st international multi-conference on systems, signals and devices, ssd 2024

作者： Haddad, Haider Abdula Abdullah, Abdulqadir Ismail Mahdy, Qaysar Salih Kahwachi, Wasfi College of Science Salahaddin University Erbil Department of Computer Science and Information Technology Kurdistan Region Iraq College of Engineering Knowledge University Erbil Department of Computer Engineering Kurdistan Region Iraq College of Engineering Tishk International University Erbil Department of Mechatronics Engineering Kurdistan Region Iraq Research Center Tishk International University Erbil Kurdistan Region Iraq

ISBN: (纸本)9798350374131

Teacher performance is an important issue for any academic institution, so these institutions try to develop methodologies and systems to evaluate the performance of its academic staff based on measurable and scientific metrics. These metrics include collecting data from students about classes and how the teacher is performing in the classroom and measuring the learning objectives from students. Major objective of this research work is to develop a web-based multi-user system for academic performance and a recommendation system that depends on the performance and skills of the teacher. The system includes multiple entry points for best factor such as the feedback unit, student attendance unit, teacher classification unit, and teacher recommendation unit, which can be strictly accessed by the administrative authority for academic teachers. The attendance module and the student feedback module are required to achieve better results in the teacher rating module and the teacher recommendation module. A reliability factor has been incorporated to achieve the accuracy of the proposed system. The performance of the system was improved due to the integration of the paperless approach and resulted in less data loss. The developed system was tested for a large university in Kurdistan region, Iraq. For data analysis an adaptive unsupervised learning method was used to categorize teachers according to their performance in the classroom. The system proved very successful in the academic evaluation and recommendation process in the university. This research proved that using student feedback data is the best factor in determining academic performance. © 2024 ieee.

关键词： Students

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Iraqi Legal GPT 21

Iraqi Legal GPT

引用

21st international multi-conference on systems, signals and devices, ssd 2024

作者： Mustafa, Mustafa Samir Abdulfatah, Mustafa Basim Abdulkareem, Husain Alaa Ashir, Abubakar M. Tishk International University Dept. of Computer Engineering Erbil Iraq

ISBN: (纸本)9798350374131

This paper proposes and develops a small language model artificial intelligence (AI) system or chatbots capable of providing competent legal information to users within the Iraqi legal jurisprudence. One of the major contributions of the papers is addressing critical challenges related to the current Large Language Model (LLM) like ChatGPT of their enormous size and lack of localized knowledge of internal processes and lifestyles. The proposed model provides low latency time with limited economic resources and the availability of efficient legal professionals for understanding the legal and rights requirements of individuals within the Iraqi region which can be run on a local computer without an internet connection. The research leverages the open source h2ogpt as a backbone language model and was trained with aggregated and curated legal documents from the Iraqi legal system. This approach allows users to input questions, and through the aid of Embedding algorithms and Vector Store algorithms, the data is stored and converted into a machine-readable format for subsequent comprehension and processing by the computer. The findings indicate a promising foundation for the project, featuring a user-friendly interface (UI) and an updateable back-end to accommodate future enhancements. The system achieved a noteworthy 1-minute response time with an accuracy rate of 80%. Notably, the development objectives aimed to establish a locally deployable system that is easily accessible and modifiable to address evolving challenges in the current computational era of information dissemination. © 2024 ieee.

关键词： Information dissemination

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Utilizing Support Vector Machine to Help with Social Robot Therapy for Autism Spectrum Disorder 21

Utilizing Support Vector Machine to Help with Social Robot T...

引用

21st international multi-conference on systems, signals and devices, ssd 2024

作者： Ibrahim, Hemin Al-Talabani, Abdulbasit K. Loo, Chu Kiong Tishk International University Information Technology Department Erbil Iraq Koya University Faculty of Engineering Department of Software Engineering Koya Iraq University of Malaya Department of Artificial Intelligence Kuala Lumpur Malaysia

ISBN: (纸本)9798350374131

Children with autism spectrum disorder (ASD) require long-term care, support, and empathy from experienced therapists. However, there is a shortage num-ber of highly experienced therapists available to provide consistent and high-quality care for all ASD children and teach them effectively. The Robotic-based assessment and treatment offer promising advantages for ASD children. However, many robotic and virtual therapies rely on pre-programmed that may not consider individual needs and cultural differences. This study aims to develop and test the hypothesis that robots can effectively assist in conducting therapy sessions for children with ASD. A Support Vector Machine (SVM) classifier has been used to predict out-comes from sckeleton and gaze basaed features of data generated during both robot-child and therapist-child in-teractions. A comprehensive evaluation across five distinct scenarios, incorporating various combinations of Robot-Enhanced Therapy (RET), Standard Human Treatment (SHT), and their concatenation have been conducted. The article results for both skeleton-based features and gaze-based data reveal a significant performance advantage over existing state-of-the-art methodologies. © 2024 ieee.

关键词： Support vector machines

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Apparent Power Evaluation of Series Active Power Filter with Recent Definitions

Apparent Power Evaluation of Series Active Power Filter with...

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5th international multi-conference on systems, signals and devices

作者： Kouzou, A. Khaldi, B. S. Mahmoudi, M. O. Boucherit, M. S. Univ Ctr Djelfa Dept Elect Ain Chih BP 3117 Djelfa Algeria Natl Polytech Sch LCP Algiers Algeria

ISBN: (纸本)9781424422050

The main purpose of this paper is the study of the Series Active Power Filter (APF) compensation capability for different unbalance perturbations of three-phase three wire AC power systems such as voltage unbalance, phase-shift unbalance sags and swells. Indeed SAPF has been proved to be an effective solution to compensate for different voltage disturbances in the power system, so that the power system voltages are forced to be balanced and sinusoidal and in phase with the direct component of the power system voltage presented before compensation. The capability of the Series APF is determined by the maximum rate of the apparent power that can be delivered. The challenge now is how these equipments can be dimensioned, this leads to the evaluation of the rate of the apparent power required to achieve this compensations under such conditions. This study present a comparison based on the approaches presented by the definition of the effective apparent power as defined in ieee 1459-2000, the European school approach and the apparent power classical approach. The two first approaches were proved to be the best methods for the calculation of the apparent power presenting the suitable amount to be concerned in the design process of different devices and allow a good estimation of the Series APF dimensions with low economic burden. This paper presents some application which may be occur in the AC power systems, mainly for three-phase, three-wire AC power systems without neutral wire which can be used for the design process of the Series APF.

关键词： Series active power filter unbalance apparent power ieee 1459-200 European school approach design process

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A Solution to the multi-Objective Optimization Problem with FACTS devices using NSHCSA Including Practical Constraints

A Solution to the Multi-Objective Optimization Problem with ...

引用

ieee international conference on Power, Control, signals and Instrumentation Engineering (ieee ICPCSI)

作者： Balasubbareddy, M. Chaitanya Bharathi Inst Technol Elect & Elect Engn Hyderabad India

ISBN: (纸本)9781538608142

Optimal Power Flow (OPF) with FACTS devices place a vital role in power systems. In this paper, a proposed Non-dominated Sorting Hybrid Cuckoo Search Algorithm (NSHCSA) for multi objective optimal power flow problem with series FACTS devices namely Static Synchronous Series Compensator (SSSC) and Interline Power Flow Controller (IPFC) with different objective functions including the practical constraints, operating constraints and the installation cost of FACTS devices are considered for this analysis. Some heuristic rules are suggested for the optimal location of FACTS devices to reduce the number of possible locations. Cuckoo Search Algorithm (CSA) and Genetic Algorithm (GA) are combined to form the proposed Hybrid Cuckoo Search Algorithm (HCSA). The fuzzy decision making tool is used to select optimal Pareto front solution for multi objectives. The effectiveness of the proposed method is tested on ieee-30 bus test system with FACTS devices. The results are analyzed and compared with existing methods.

关键词： Hybrid cuckoo search algorithm multi objective optimization Pareto solution Location of FACTS device Device installation cost Non-dominated Sorting power system severity

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ECG and EEG Based multimodal Biometrics for Human Identification

ECG and EEG Based Multimodal Biometrics for Human Identifica...

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ieee international conference on systems, Man, and Cybernetics (SMC)

作者： Bashar, Md. Khayrul Ochanomizu Univ Fac Gen Educ Res Tokyo Japan

ISBN: (纸本)9781538666500

Developing multi-biometric systems using multi-modal signals is the recent trend in biometric identification problem. Integrating heart and brain electrical signals (ECG and EEG) is very important because of their liveliness property and robustness against falsification. In this study, we have investigated the fusion of ECG and EEG signals from low-cost devices with multiple classifiers (KNN, LDA, and ESAVM) using wavelet domain statistical feature. After preprocessing, multiscale wavelet packet decomposition is applied to the signal (ECG/EEG) segment. Feature vectors are computed from the transformed signal using statistical descriptors, called wavelet packet statistics (WPS). ECG and EEG traits are fused at feature level, while two classifiers are fused at the decision level. An experiment with ten human subjects showed promising results of human identification using fused trait (ECG-EEG) with fused classifiers. The fused trait i.e., the fused WPS vectors from ECG and EEG signals with the fused classifier produces the highest average Fscore (90.5%), when compared with the single trait (ECG or EEG) with single classifier (54.7% with ECG;74.9% with EEG) or single trait with fused classifier (66.0% with ECG;87.3% with EEG). A brief ROC analysis also confirmed the above findings.

关键词： EEG and ECG signals multiscale features supervised classification human recognition low-cost EEG and ECG recording devices

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The 15 international multiconference on systems, signals & devices

The 15 International Multiconference on Systems, Signals & D...

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ieee ssd international multi-conference on systems, signals and devices

Program of the multi-conference on systems, signals & devices ssd 2018

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Design and Implementation of a CNC Plotter Machine Using Arduino and CNC Shield 21

Design and Implementation of a CNC Plotter Machine Using Ard...

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21st international multi-conference on systems, signals and devices, ssd 2024

作者： Youns, Sara Serwer Anwer, Lawand Jafaar Ramadhan, Malik Abdulbari Tishk International University Mechatronics Engineering Department Erbil Iraq Mechatronics Engineering Tishk International University Erbil Iraq

ISBN: (纸本)9798350374131

A CNC plotting device capable of producing or constructing mechanical components in accordance with design software.. The use of CNC machines is increasing quickly as technology in industries advances the purpose of this study is to create a plotter machine that can design and manufacture 2D designs using Arduino and the CNC shield and also to minimize the time spent plotting and to eliminate human participation, which reduces the rate of inaccuracy and boosts output. In this article Arduino uno, stepper motor, servo motor and CNC shield are used for designing three axis CNC Plotter. The designed machine is controlled by three axis, stepper motors are used to control x and y axes while the z- axis is controlled by servo motor. The major goal of this project is to minimize the time spent graphing and to eliminate human participation, which reduces the rate of inaccuracy and increases manufacturing. And this machine can facilitate disable peoples work especially people that suffer from hand less and also can help Architect to draw the 2d drawing. The designed machine can plot any image or text simply and quickly as compared to human sketching time. CNC technology has made significant contributions to industry. CNC machines are the primary platform for contributing high-quality goods to industries. © 2024 ieee.

关键词： Stepping motors

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Program of the multi-conference on systems, signals devices