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5th International Conference on technology and Policy in Energy and Electric Power, ICT-PEP 2023

作者： Habibi, Muhammad Afnan Ali Irfani, Mochamad Farhan Gumilar, Langlang Kusumawardana, Arya Aripriharta Baskoro, Angger Universitas Negeri Malang Study Program of Power Plant Engineering Technology Malang Indonesia Universitas Negeri Malang Department of Electrical Engineering and Informatics Malang Indonesia National Yang Ming Chiao Tung University Dept. Electrical Engineering and Computer Sciences Hsinchu Taiwan

ISBN: (纸本)9798350369717

This paper conducts a comprehensive analysis of electrical generator performance using Finite Element Analysis (FEA), with a specific emphasis on the role of coil numbers in influencing generator efficiency and functionality. In the context of modern energy systems, where efficient power generation is paramount, this research aims to elucidate the relationship between the number of coils within a generator and its overall performance, including power output and electromagnetic behavior. Through systematic FEA simulations that vary coil numbers while keeping other parameters constant, this study provides valuable insights into the trade-offs associated with increased coil numbers and enhanced efficiency. These findings have significant implications for optimizing generator designs across various applications, from renewable energy systems to industrial power generation, ultimately advancing our understanding of generator dynamics and contributing to more sustainable and efficient power generation technologies. © 2023 IEEE.

关键词： Finite element method

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The high order Schwarz-Pick lemma on complex Hilbert balls

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Science China Mathematics 2010年第10期53卷 2649-2656页

作者： DAI ShaoYu1,2,CHEN HuaiHui1 & PAN YiFei3,4 1Department of Mathematics,Nanjing Normal University,Nanjing 210097,China 2Department of General study program,Jinling Institute of technology,Nanjing 211169,China 3School of Mathematics and informatics,Jiangxi Normal University,Nanchang 330022,China 4Department of Mathematical Sciences,Indiana University-Purdue University Fort Wayne,Fort Wayne,IN 46805-1499,USA 1. Department of Mathematics Nanjing Normal University Nanjing 210097 China2. Department of General Study Program Jinling Institute of Technology Nanjing 211169 China3. School of Mathematics and Informatics Jiangxi Normal University Nanchang 330022 China4. Department of Mathematical Sciences Indiana University-Purdue University Fort Wayne Fort Wayne IN 46805-1499 USA

In this paper we prove a high order Schwarz-Pick lemma for holomorphic mappings between unit balls in complex Hilbert *** addition,a Schwarz-Pick estimate for high order Fréchet derivatives of a holomorphic funct... 详细信息

关键词： complex Hilbert ball high order Schwarz-Pick lemma

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Optimization of Hyper Parameter Bandwidth on Naïve Bayes Kernel Density Estimation for the Breast Cancer Classification

Optimization of Hyper Parameter Bandwidth on Naïve Bayes Ke...

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International Conference on Information and Communications technology (ICOIACT)

作者： Theopilus Bayu Sasongko Oki Arifin Hanif Al Fatta Information Technology Department Universitas Amikom Yogyakarta Yogyakarta Indonesia Management of Informatics Study Program Politeknik Negeri Lampung Lampung Indonesia

Cancer is viewed as the most harmful disease in the world. One of the most deadly cancer diseases attacking the women is breast cancer. In this paper, used Naïve Bayes classifier Kernel Density Estimation in breast cancer Wisconsin dataset take from UCI data repository. Naïve Bayes with Kernel Density Estimation was used as it could enable the Naïve Bayes to process the quantitative data. However, the performance of KDE (kernel density estimation) highly depends upon the size of the bandwidth parameter used to control the curve. The problem an accurate choice of parameter bandwidth (h) using trial and error technique requires a long process. A large bandwidth (h) will over-smooth the density and mask the structure in the data, a small bandwidth (h) will yield a density estimate that is spiky and very hard to interpret. The aim of this research is to compare the optimization of grid search parameter with the genetic algorithm to determine the bandwidth parameter (h) on the Naïve Bayes Kernel Density Estimator algorithm. The parameters used to compare the two optimization methods included accuracy, AUC (Area under Curve), and computation time. The experiment results on the test of the significance value on the comparison of grid search and algorithm in determination of the bandwidth parameter (h) naïve Bayes kernel density used Mann-Whitney Test. The result of the significance ranking showed that mean rank of the genetic algorithm accuracy was 489.95 better than the mean value of the rank of grid search accuracy at only 189.05, mean rank of AUC genetic algorithm was 491.82 better than mean rank of AUC grid search only at 187.18. The mean rank of computation time grid search was 243.37 faster than mean rank of computation time genetic algorithm at 435.63.

关键词： Optimization Bandwidth Kernel Genetic algorithms Breast cancer Estimation Classification algorithms

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Proposed model of Vocational University Governance and measurement model by utilizing the ISO 38500 framework and COBIT 5 enabler

Proposed model of Vocational University Governance and measu...

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International Conference on ICT For Smart Society (ICISS)

作者： Heru Nugroho Kridanto Surendro Computer Engineering Study Program Telkom Polytechnic Bandung Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

Enterprise governance basically is a framework, principles and policies, structures, processes and practices, information, skills, culture, ethics, and behavior to determine direction and monitoring related to compliance and performance that align with enterprise goals. COBIT 5 provides guidance that enterprise governance is influenced by individual and collective factors. The existence of this factor will influence process ini scope of governance enterprise either for governance and management area. University governance is a behavior, manner or method used by the college to utilize full potential and optimization elements, in order to achieve the vision and mission that has been set. Model of Vocational University Governance are built based on governance university components and principles of good university governance with reference models that exist within ISO 38500 framework. Enablers that exist within COBIT 5 framework will be used as a determining factor in the preparation of the proposed model of governance and measurement model of vocational university governance.

关键词： Educational institutions Business ISO standards Ethics Monitoring

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Disaster Robot Navigation using Behavior-based Systems 3

Disaster Robot Navigation using Behavior-based Systems

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3rd International Conference on Applied Science and technology, iCAST 2020

作者： Kuswadi, Son Tamara, Mohamad Nasyir Brahmantio, Bagoes Taufiq Sugiharto, Debynata Mohammad, N.U.H. Mechatronic Study Program Machanical and Energy Department Politeknik Elektronika Negeri Surabaya Surabaya Indonesia Mechatronic Study Program Machanical and Energy Department Politeknik Negeri Banyuwangi Banyuwangi Indonesia PT Prima Nurjwan Samudera Indonesia Group Jakarta Indonesia PT Pabrik Kertas Tjiwi Kimia APP Sinar Mas Group Sidoarjo Indonesia Biomedical Engineering Department Faculty of Inteliigent Electrical and Informatics Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781728195674

In a natural disaster, it is often necessary to have an autonomous system capable of moving in an irregular and unpredictable area. This paper proposes a robot that is mechanically capable of moving in a disaster area and equipped with a navigation using behavior-based systems. Its mechanical, electronic and computing systems are described. The development of the primitive behavior that has been made is explained in detail. Several experiments have been carried out to show the performance of the proposed robotic systems. © 2020 IEEE.

关键词： Disasters

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Atmospheric dynamics and early warning system low level windshear for airport runway hazard mitigations 10

Atmospheric dynamics and early warning system low level wind...

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10th International Seminar on New Paradigm and Innovation of Natural Sciences and itsApplication, ISNPINSA 2020

作者： Gernowo, R. Subagio, A. Adi, K. Widodo, A.P. Widodo, C.E. Putranto, A.B. Department of Physics Faculty of Science and Mathematics Diponegoro University Indonesia Department of Informatics Faculty of Science and Mathematics Diponegoro University Indonesia Study Program of Automation Engineering Technology Vocational School Diponegoro University Jl. Prof. Soedarto SH. Tembalang Semarang50275 Indonesia

Natural disaster nowadays often occur in Indonesia due to climate change, especially those related to atmospheric dynamics anomalies. The statutory event of atmospheric turbulence statistically is quite significant in its improvement. This is an important issue to conduct research both in the analysis of atmospheric dynamics and early detection solutions for these events. The Windshear phenomenon is an atmospheric turbulence disaster that occurs below an altitude of 3000 feet, often known as low level windshear (LLWS), which is very dangerous for planes taking take-off or landing. Its effect on the aircraft will result in increased airflow on the wings, so this increased airflow will result in a sudden increase in aircraft speed. If the pilot is not aware of the indication of the windshear, he will instinctively throttle back to reduce/compensate for the aircraft's speed. However, once the plane passes through the wind shear zone, the wind suddenly turns into a downdraft. The design of windshear early detection devices have been developed to complement research on the dynamics of the atmosphere. The results obtained are anomalous changes in temperature and atmospheric pressure at this time, and the windshear sensor can detect it well. © Published under licence by IOP Publishing Ltd.

关键词： Aircraft

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Multilayer processing architecture of RAM based neural network with memory optimization for navigation system

Multilayer processing architecture of RAM based neural netwo...

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Joint International Conference on Rural Information & Communication technology and Electric-Vehicle technology (rICT & ICeV-T)

作者： Ahmad Zarkasi Aciek Ida Wuryandari Rizki Fauzian Study Program Computer System Sriwijaya University South Sumatera Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

Robots also have been trusted to help human to complete difficult jobs, for example, finding for the earthquake, a fire, or a sinking ship victims. The robot must be reliable, clever and moving automatically. The aim of this study is to develop and apply the application of artificial RAM-based neural networks (WNNs) on a mobile robot using a multilayer processing architecture with memory optimizations on to address and input pattern, so that producing smart navigation model which it has a simpler computational load and faster execution time. The gained result from the first study was the percentage of memory optimization in the amount of 50%. This result obtained from the formerly RAM using 8 bit data width has been optimized to 4 bits. Both of the percentage of data optimization pattern is 93.75%. This percentage is obtained from the optimization pattern (pattern taken is 4 bits MSB), each 1 bit data can handle 15 unseen patterns.

关键词： Random access memory Optimization Sensors Nonhomogeneous media Mobile robots Decoding Biological neural networks

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Urgency Detection of Events Through Twitter Post: A Research Overview

Urgency Detection of Events Through Twitter Post: A Research...

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International Conference on Electrical Engineering and Computer Science (ICECOS)

作者： Frederick William Edlim Gregorius Edo Rangga Kurnia Putra Wiratama Riyan Mahmudin Andi Solihin Amelia Devi Putri Ariyanto Diana Purwitasari Department of Informatics Institut Teknologi Sepuluh Nopember Surabaya Indonesia Information Technology and Systems Study Program Widya Husada University Semarang Indonesia

ISBN: (数字)9798350368253

ISBN: (纸本)9798350368260

Indonesia is located in volatile Pacific fire ring and stands as one of the most global disaster-prone areas. The government and public are in constant vigilance of the potential threats. Social media generates large amounts of data from its users and is one of the prime candidates to be used as a disaster monitoring and response system. Several studies have demonstrated the effectiveness of using such an approach for developing disaster monitoring systems. but due to the number of messages generated, filtering is needed to extract useful information from the message. Hence, it's needed to detect an urgency from a message. This review, which was carried out following the PRISMA model, focused on the detection of the urgency of Indonesian Twitter during crisis events. From studies selected, several recommendations are suggested for future endeavor in this topic. Future systems are advised to employ three or four class schemes rather than binary class to gain more nuanced insights into tweet urgency. On-Event training and testing approaches are suitable for frequently occurring events, whereas out-of-event approaches offer broader applicability for real-world scenarios. Both machine learning and deep learning methods, including multimodal approaches, have demonstrated efficacy in urgency detection. Addressing pre-processing challenges, such as abbreviations and slang, is critical, and ensuring consistency in manually annotated data is essential. Additionally, the selection of appropriate word embeddings, such as fastText, IndoBERT, or crisis-specific embeddings, is crucial for achieving optimal model performance.

关键词： Training Deep learning Support vector machines Social networking (online) Disasters Blogs Data mining Synchronization Monitoring Testing

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Collaboration model of software development

Collaboration model of software development

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International Conference on Electrical Engineering and informatics, ICEEI

作者： Tien Fabrianti Kusumasari Iping Supriana Kridanto Surendro Husni Sastramihardja Information System Program Study STMIK 1M Bandung Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Indonesia

Software development is a series of processes activity involving more than one person, especially in medium to large software projects. Each activity of software development is carried out by various combination of different individual. Collaboration occurs in every phase of the process software development. The right team collaboration method is one of the important things in success software development. This research is focused to develop collaboration model of software development to meet time schedule, budget, scope, and software quality. The collaboration model of software development is generated from survey of collaboration method (about face to face and virtual collaboration) and software development methodology especially agile methodology. The direct collaboration was used in the software specification processes, and combination (with a direct and virtual) collaboration was used during software design, implementation, and validation. Team coordination in every process of software development was done with face to face method. The same artifacts were used in this collaboration model with some collaboration software tools. Combination between face to face and virtual communication was used in this model. The model is implemented in small case software development project. During the software development, some measurement is carried out. The measurement included the measurement of project completion time, cost, software specification, and software quality. The software is developed in time schedule (two months), cost under budged, and meet specification. In addition, the software has built a fairly good quality. Thus, this collaboration model good use in software development to achieved accuracy of schedule, cost, scope, and quality.

关键词： Collaboration programming Face Software measurement Software tools Software quality

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Javanese Script Single Letters Classification using GoogLeNet Architecture and Adam Optimizer Based on Convolutional Neural Networks (CNN)

Javanese Script Single Letters Classification using GoogLeNe...

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International Seminar on Application for technology of Information and Communication (ISemantic)

作者： Ajib Susanto Christy Atika Sari Ibnu Utomo Wahyu Mulyono Eko Hari Rachmawanto De Rosal Ignatius Moses Setiadi Rabei Raad Ali Study Program in Informatics Engineering University of Dian Nuswantoro Semarang Indonesia Department of Computer Engineering Technology Northern Technical University Mosul Iraq

This study examines the decline in the usage of the Javanese language, which has experienced a decrease in the number of speakers from approximately 82 million in 2007 to 68.2 million in 2015. The convergence of the Javanese script and Optical Character Recognition (OCR) technology is proposed as a solution, allowing for the preservation and accessibility of the Javanese script in the digital age. The integration of Convolutional Neural Networks (CNNs) in Javanese script classification achieved a high accuracy rate of 92.95% in identifying positive and negative cases. The dataset used for training consisted of 8440 sample images, which were divided into 20 subfolders for training and testing. The results presented in Table IV demonstrate the successful implementation of the classification model, achieving a 98.87% sensitivity, 100% precision, and 98.88% specificity. This research contributes to the preservation and understanding of the culturally significant Javanese script while addressing the decline in its usage.

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