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The Implementation of TOGAF for Enterprise System Planning on XYZ Campus

The Implementation of TOGAF for Enterprise System Planning o...

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2023 International Conference on Networking, Electrical engineering, computer Science, and Technology, IConNECT 2023

作者： Sirait, Tamsir Hasudungan Lumban Gaol, Ford Supangkat, Suhono Harso Ranti, Benny Bina Nusantara University Binus Graduate Program Computer Science Jakarta Indonesia Bina Nusantara University Computer Science Department Jakarta Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia Universitas Indonesia Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798350331172

Universities can employ information technology as one means of achieving their goals and objectives. Universities can get advantages from information technology, such as effective resource management and information management for decision-making. However, don't forget that the campus must consider what technology is appropriate to assist them achieve their goals, particularly in the current industrial era 4.0 where technology is available with many different choices. The campus requires an enterprise architecture in order to design, manage, and coordinate information technology infrastructure, applications, and processes strategically and thoroughly. The adoption of enterprise information system architecture (EA) is also intended to improve the quality of services provided to internal and external stakeholders. In this case, Enterprise Architecture can help an organization to match its information technology resources with business processes and strategies to achieve their goals. This research was conducted using TOGAF ADM, also known as the Open Group Architecture Framework Architecture Development Method. This method offers best practices for creating enterprise architecture and emphasizes several steps that include creating an architectural vision, information systems, business architecture modeling to help XYZ campus manage all their information technology. © 2023 IEEE.

关键词： Information management

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Implementation of MTCNN Facial Feature Extraction on Sleepiness Scale Classification Using CNN

Implementation of MTCNN Facial Feature Extraction on Sleepin...

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2022 International Conference on computer engineering, Network and Intelligent Multimedia, CENIM 2022

作者： Putra, Adima Mahardika Zaini, Ahmad Pramunanto, Eko Institut Teknologi Sepuluh Nopember Faculty of Intelligent Electrical and Informatics Technology Department of Computer Engineering Surabaya60111 Indonesia

ISBN: (纸本)9781665476508

Sleepiness is a condition when the level of human consciousness decreases. Sleepiness is not easy to measure externally. If this is allowed just like that, it would be very dangerous if we were doing activities that requires full control of consciousness such as activities driving. This set of tools and methods for detecting drowsiness has been developed. However, in its implementation the intrusive method uses this tool less practical. In addition, the sleep detection method uses video images as well experiencing problems due to the potential for data loss in the form of facial features. To get this data, you must use a near infrared camera which has a low resolution and lacks detail. Therefore it is necessary an algorithm that is able to detect facial features to the maximum for classifying a person's sleepiness scale. To achieve the goal, a program will be created that functions to perform the extraction facial features and eye features. The program will function to detect number of frames containing facial features and performing condition classification eyes closed or open which will then be saved in a 'csv' file to be processed. Furthermore, the data will be carried out in the training process using 1D CNN architecture. The results of the training process that has been carried out The previous model is the model that will be used in performing the scale classification drowsiness. There are 6 experimental scenarios to get the best results. From all the results that have been obtained, it can be concluded that the best model results are the result of the training process with epoch values by 30 and the addition of synthetic data. Accuracy value obtained of 89% and the loss value of 34%. © 2022 IEEE.

关键词： Classification (of information)

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Five-Stage Pipelined 32-Bit RISC-V Base Integer Instruction Set Architecture Soft Microprocessor Core in VHDL 23

Five-Stage Pipelined 32-Bit RISC-V Base Integer Instruction ...

引用

23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022

作者： Phangestu, Aaron Elson Mujiono, Ir. Totok Kom, M.I. Ahmad Zaini, St Institut Teknologi Sepuluh Nopember Faculty of Intelligent Electrical and Informatics Technology Computer Engineering Department Surabaya60111 Indonesia

ISBN: (数字)9781665460811

ISBN: (纸本)9781665460811

Proprietary technologies with complicated licensing currently dominate the microprocessor industry. As a result, we must seek out a freely available, open-source alternative. In this paper, we discussed the implementation of a five-stage pipelined soft processor core. The core uses the RISC-V RV32I Base Integer Instruction Set Architecture. RISC-V is an open standard ISA that is freely available to use and modify. To implement our processor core, we followed the FPGA design methodology. First, we implemented the design specification with the VHDL Hardware Description Language. Then, siwe mulated the design in the ModelSim simulation environment. Following the verification, we analyzed the resource usage, critical path, and maximum frequency of the processor, then uploaded the processor core to an actual Cyclone IV EP4CE6E22C FPGA. Our CPU core successfully executed all the RV32I instructions, except FENCE, ECALL, and CSR instructions. The proposed processor core runs on 2115 LUTs, 558 flip-flops, and 67,608 memory bits, with a maximum frequency of 62.95 MHz. © 2022 IEEE.

关键词： computer hardware description languages

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An Exploratory Case Study on Effort Estimation in Microservices 49

An Exploratory Case Study on Effort Estimation in Microservi...

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49th Euromicro Conference on Software engineering and Advanced Applications, SEAA 2023

作者： Unlu, Huseyin Hacaloglu, Tuna Omural, Neslihan Kucukates Caliskanel, Neslihan Leblebici, Onur Demirors, Onur Izmir Institute of Technology Computer Engineering Izmir Turkey Atilim University Information Systems Engineering Ankara Turkey Middle East Technical University Informatics Institute Ankara Turkey Univera Inc. Izmir Turkey

ISBN: (纸本)9798350342352

Software project management plays an important role in producing high-quality software, and effort estimation can be considered as a backbone for successful project management. Size is a very significant attribute of software by being the only input to perform early effort estimation. Even though functional size measurement methods showed successful results in effort estimation of traditional data-centric architectures such as monoliths, they were not designed for today's architectures which are more service-based and decentralized such as microservices. In these new systems, the event concept is highly used specifically for communication among different services. By being motivated by this fact, in this study, we looked for more microservice-compatible ways of sizing microservices using events and developed a method accordingly. Then, we conducted an exploratory case study in an organization using agile methods and measured the size of 17 Product Backlog Items (PBIs) to assess how this proposed method can be useful in effort estimation in microservices. The implication from the case study is that despite performing a more accurate effort estimation using the proposed size measurement than COSMIC, we were unable to significantly outperform using the total number of events. However, our suggested approach demonstrated to us a different way to use software size in terms of events, namely, to determine the coupling complexity of the project. This finding can be beneficial specifically when evaluating the change requests. © 2023 IEEE.

关键词： Project management

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Analysis and Performance Evaluation of OpenFlow Controller in SDN using N-Policy

Analysis and Performance Evaluation of OpenFlow Controller i...

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2023 International Conference on Recent Advances in Science and engineering Technology, ICRASET 2023

作者： Al Ahmad, Mahmoud Diab, Maisa Patra, Sudhansu Shekhar University of Kalamoon College of Engineering It Department Damascus Suburb Syria Arab Private University for Science and Technology College of Informatics Engineering It Department Hama Syria Kiit Deemed to Be University School of Computer Applications Bhubaneswar India

ISBN: (纸本)9798350306927

The OpenFlow protocol facilitates the communication between the control and forwarding planes within a software-defined networking (SDN) framework. In SDN, the control plane is housed in a distinct entity known as the OpenFlow controller, which assumes the responsibility of making high-level determinations regarding the forwarding of network traffic. With the OpenFlow controller, network administrators can centrally program and manage network behavior, incorporating functionalities like traffic engineering, load balancing, QoS enforcement, security policies, and more. By segregating the control plane from the data plane, SDN utilizing OpenFlow empowers flexible network management, automation, and programmability. Through the utilization of the OpenFlow protocol, the OpenFlow controller interacts with the forwarding plane, typically implemented in network switches or routers. This approach offers a centralized perspective of the network and grants dynamic control over the behavior of network devices by installing flow entries into their forwarding tables. In this research, we use a single-controller N-policy finite buffer waiting queue model to investigate the system performance metrics. Numerical examples and different indices are presented to illustrate the proposed model. © 2023 IEEE.

关键词： Controllers

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Hierarchical Multimodal Decoupling-Fusion Framework for offline Multiple Appropriate Facial Reaction Generation

Hierarchical Multimodal Decoupling-Fusion Framework for offl...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Lv, Qincheng Liu, Xiaofeng Li, Jie Ni, Rongrong Xue, Pujun Song, Siyang College of Information Science and Engineering Hohai University Changzhou China College of Artificial Intelligence and Automation Hohai University Changzhou China School of Biomedical Engineering and Informatics Nanjing Medical University Nanjing China School of Microelectronics and Control Engineering Changzhou University Changzhou China School of Computer Science University of Exeter Exeter United Kingdom

ISBN: (纸本)9798350368741

Facial reactions convey crucial emotional information and coordinating interpersonal relationships in human dyadic interactions. While existing Multiple Appropriate Facial Reaction Generation (MAFRG) methods focus on generating multiple reasonable facial reactions, none of these approaches combines 2D and 3D facial behaviour information nor account for the influence of individuals' facial identities, leading to inconsistencies in the generated facial reactions and limited capability in capturing subtle variations in facial depth and expression dynamics. This paper proposes a novel Hierarchical Multimodal Decoupling-Fusion (HMDF) framework that decouples 3D facial identity from expression behaviors, eliminating identity-based interference in the reaction generation process, which are integrated with audio-visual features through a cross-attention mechanism. Experiments show that our framework achieved the enhanced diversity and synchrony in the generated facial reactions. © 2025 IEEE.

关键词： 2D 3D facial behaviour fusion Facial identity decoupling Multiple Appropriate Facial Reaction Generation

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Torque Control in a Two-Mass Resonant System: Simulation and Dynamic Analysis 17

Torque Control in a Two-Mass Resonant System: Simulation and...

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17th IEEE International Symposium on Applied Computational Intelligence and informatics, SACI 2023

作者： Zeinali, Mansoor Zanjani, Sayed Mohammadali Yaghoubi, Somaye Mosavi, Amir Fathollahi, Arman Islamic Azad University Najafabad Branch Department of Electrical Engineering Najafabad Iran Obuda University John von Neumann Faculty of Informatics Budapest Hungary Aarhus University Department of Electrical and Computer Engineering Aarhus Denmark

ISBN: (纸本)9798350321104

A multi-mass system is a mechanical system that consists of several masses such as a motor, load, and gear that are connected by a flexible shaft. The mechanical fluctuations in drives with flexible coupling between the motor and the driven device can no longer be ignored, as they could in the past when requirements for speed control dynamics were low. These prerequisites pertain to the regulation of the rotational speed and position of the servo drive and are quantified by the magnitude of speed step response time and speed fault elimination time caused by the step change of load torque, which, in modern drives, can be measured. In this study, the dynamical behavior of a two-mass resonant system with a three-term controller for control of torque and speed is investigated using eigenvalues analysis. The proposed control strategy aims to eliminate the rotational fluctuations of the motor shaft, dampen the load torque disturbance impact, provide a quick response to changes in the base speed while avoiding increases in the load speed, and be resilient to instability. Finally, numerical outcomes demonstrate the effect of the presented controller application on improving the dynamic demeanor of the two-mass test system. Based on the outcomes, the effectiveness of the proposed control scheme is highly dependent on system parameters. Due to the inherent parameter uncertainty in the multi-mass system, the use of parameter estimators based on artificial neural networks (ANNs) is suggested for future work. © 2023 IEEE.

关键词： Neural networks

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Machine Learning assisted Indoor Visible Light Communications Radio Environment Maps

Machine Learning assisted Indoor Visible Light Communication...

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2022 Panhellenic Conference on Electronics and Telecommunications, PACET 2022

作者： Serpi, Helena Politi, Christina Tanya University of Peloponnese Department of Informatics and Telecommunications Tripolis Greece University of Peloponnese Department of Electrical and Computer Engineering Patras Greece

ISBN: (数字)9798350399585

ISBN: (纸本)9798350399585

Visible light communications (VLC) have been proposed as reliable high-capacity wireless optical communication systems for indoor access networks. This technology comprises a solution that does not harm human tissues and has been especially suggested for ultra-reliable environments like hospitals. In this paper we utilize machine learning for investigating the wireless optical channel in indoοr areas where ultra-reliable communications are needed and hence signal coverage should be guaranteed. It is proven that ML methods can reliably and efficiently predict the Radio Environment Map (REM) of a VLC enabled communication system. © 2022 IEEE.

关键词： Machine learning

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On Quantitative Algebraic Higher-Order Theories 7

On Quantitative Algebraic Higher-Order Theories

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7th International Conference on Formal Structures for Computation and Deduction, FSCD 2022

作者： Lago, Ugo Dal Honsell, Furio Lenisa, Marina Pistone, Paolo Department of Computer Science and Engineering University of Bologna Italy Department of Mathematical Sciences Informatics and Physics University of Udine Italy

ISBN: (纸本)9783959772334

We explore the possibility of extending Mardare et al.’s quantitative algebras to the structures which naturally emerge from Combinatory Logic and the λ-calculus. First of all, we show that the framework is indeed applicable to those structures, and give soundness and completeness results. Then, we prove some negative results clearly delineating to which extent categories of metric spaces can be models of such theories. We conclude by giving several examples of non-trivial higher-order quantitative algebras. © Ugo Dal Lago, Furio Honsell, Marina Lenisa, and Paolo Pistone

关键词： Topology

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Ship Engine Data Analysis for the Application of Machine Learning Algorithms 8

Ship Engine Data Analysis for the Application of Machine Lea...

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8th South-East Europe Design Automation, computer engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2023

作者： Dimitriou, Theodoros Skondras, Emmanouil Hitiris, Christos Gkola, Cleopatra Papapanagiotou, Ioannis S. Vergados, Dimitrios J. Vergopoulos, Constantinos Koumantakis, Stratos Michalas, Angelos Vergados, Dimitrios D. University of Piraeus Department of Informatics Piraeus Greece University of Western Macedonia Department of Electrical and Computer Engineering Kozani Greece University of Western Macedonia Department of Informatics Kastoria Greece Internet Business Hellas Athens Greece Mas S.A. Athens Greece

ISBN: (纸本)9798350383676

In Machine Learning (ML) the analysis and the preparation of data before their use is considered an important task, in order to improve the performance of the ML algorithms. Techniques like clustering and dimensionality reduction are applied for the preparation of the data offering several advantages for the ML algorithms to which the data will be used. Some indicative advantages include the improved performance and the faster training of the ML algorithms, the handling of missing or corrupted data, the detection of data overfitting and the visualization of the data. In this paper, a dataset that contains plenty of ship engine's data is analyzed. Specifically, methodologies for density estimation, clustering and dimensionality reduction are studied. Subsequently, such methodologies are applied to the aforementioned dataset, providing useful results about the structure of the dataset, about the correlation of its data, as well as about the importance of each feature included in the dataset. © 2023 IEEE.

关键词： Machine learning

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