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检索条件"机构=Informatics Engineering Program"

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An Introduction to the Three-Body Problem Optimization Algorithm: A Novel Swarm-Based Optimization Method 3

An Introduction to the Three-Body Problem Optimization Algor...

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3rd International Conference on Disruptive Technologies, ICDT 2025

作者： Sudirman, Ivan Diryana Herwanto, Patah Binus Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Bandung40181 Indonesia Stmik Im Informatics Engineering Department Bandung40113 Indonesia

ISBN: (纸本)9798331519582

The Three-Body Problem Optimization Algorithm (3BPOA) is a metaheuristic method inspired by how gravity interacts if there are three bodies, a classical physics problem. 3BPOA uses 3 best agents or leaders where these 3 best agents will interact with each other and also influence the movement of the swarm. The interaction of these 3 best bodies or agents is also influenced by the distance between the three. In this study, 3BPOA was tested on the Rastrigrin mathematical function using various scenarios from 5 dimensions to 100 dimensions, also using various population sizes. The test results show that the 3BPOA algorithm has good performance in low dimensions and quite good in medium dimensions. In high dimensions, if using a large population, 3BPOA has good potential. © 2025 IEEE.

关键词： Particle swarm optimization (PSO)

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CVO: Curriculum Vitae Optimization by Recommending Keywords to Undergraduate Students 11th

CVO: Curriculum Vitae Optimization by Recommending Keywords...

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11th and 12th EAI International Conference on Big Data Technologies and Applications, BDTA 2021 and BDTA 2022

作者： Santos, Cibele Góes, Fabrício Martins, Carlos da Cunha, Felipe Post-Graduation Program in Electrical Engineering Pontifícia Universidade Católica de Minas Gerais MG Belo Horizonte30535-901 Brazil Informatics Department University of Leicester Leicester United Kingdom Post-Graduation Program in Informatics Pontifícia Universidade Católica de Minas Gerais MG Belo Horizonte30535-901 Brazil Department of Computer Science Pontifícia Universidade Católica de Minas Gerais MG Belo Horizonte30535-901 Brazil

ISBN: (纸本)9783031336133

Candidate selection platforms have been widely used in companies that seek agility in the process of hiring. Candidates who do not meet the requirements of a job vacancy are disqualified in the first step, called screening. This stage has been automated due to the large volume of curriculum vitae (CV) of candidates per vacancy, particularly for internship vacancies. As a consequence, candidates receive little to none feedback and do not know how to improve/optimize their CVs for new applications. The goal of this paper is to realize the curriculum vitae optimization (CVO) process for internship vacancies by implementing a recommendation system that given an undergraduate student CV, it suggests the addition of relevant keywords, taking into account the student’s undergraduate course. This system is implemented based on the clustering of CVs keywords, from an internship recruitment private company database, into profile groups which are linked to internship vacancies. The experimental results showed that recommendations improved students CVs similarity (competitiveness within a specific field) from 18.83%, with 3 keywords recommendation, up to 50.67%, with 10 words. © 2023, ICST Institute for Computer Sciences, Social informatics and Telecommunications engineering.

关键词： Students

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Bluetooth Based Home Automation Using Android Phone

Bluetooth Based Home Automation Using Android Phone

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2023 International Conference on Sustainable Emerging Innovations in engineering and Technology, ICSEIET 2023

作者： Bhardwaj, Priyanka Roy, Manidipa Singh, Sanjay Kumar Jain, Vanshika Novita, Mega Mukhtar, Agus Setyoadi, Yuris ABES Engineering College U.P Ghaziabad India Universitas Pgri Semarang Postgraduate Program of Science Education J1. Sidodadi Timur No. 24 Central Java Semarang50232 Indonesia Universitas Pgri Semarang Faculty of Engineering and Informatics Department of Mechanical Engineering Ji. Sidodadi Timur No. 24 Central Java Semarang50232 Indonesia

ISBN: (纸本)9798350329186

Electronic devices and appliances are increasingly becoming a quintessential part of every household with the recent development and innovations in the field of technology affecting the day-to-day lives of individuals. Automation has caught the fame as people struggle to keep up with the demands of work, making it an easy solution to operate devices and machines to meet the individual needs. The paper describes the creation and execution of an affordable, versatile, and safe home automation system that is controlled through a mobile phone. The system relies on an independent Arduino BT board, which is connected to home appliances via relays attached to its input/output ports. Wireless communication is used to connect the mobile phone and the Arduino BT board. The system is designed to be both economical and expandable, allowing for control of a range of devices with minimal changes to its basic structure. The focus of the paper is to explain how to manage and regulate electronic devices using Android smartphones. The paper also outlines a home automation system that prioritizes security and safeguards user privacy. This system is designed to be affordable and flexible, making it possible to control various devices with minimalchanges to its core structure. Additionally, the appliances in the system are protected by passwords to ensure that only authorized users can access them. © 2023 IEEE.

关键词： Domestic appliances

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Analyses of Photovoltaic Systems Performance with Fuzzy Inference Systems and Bayesian Networks

Analyses of Photovoltaic Systems Performance with Fuzzy Infe...

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Power Electronics and Control (SEPOC), Seminar on

作者： Nicole Polityto Cremasco Myriam Regattieri De Biase da Silva Delgado Jair Urbanetz Junior Luiz Ledo Mota Melo Jorge Assade Leludak Keiko Verônica Ono Fonseca Program of Post-Graduation of Electrical Engineering and Industrial Informatics(CPGEI) of Federal University of Technology of Paraná(UTFPR) Program of Post-Graduation of Electrical Engineering and Industrial Informatics(CPGEI) of the Federal University of Technology of Paraná(UTFPR) Program of Post-Graduation in Energy Systems of Federal University of Technology of Paraná(UTFPR Department of Electrical Engineering (DAELT)) Federal University of Technology of Paraná(UTFPR) Curitiba Brazil

Renewable energy sources have been increasingly targeted as an alternative for reducing fossil fuel emissions. This scenario requires a better understanding of energy systems' performance and limitations, notably using photovoltaic setups under diverse meteorological conditions and determining device measurement uncertainties. Accordingly, this study conducts a performance evaluation of a photovoltaic system of copper, indium, and gallium (di)selenide technology. It compares the results provided by a reference normalized equation with two interpretable artificial intelligence techniques, Fuzzy Inference System and Bayesian Networks, when temperature is also considered. In the experiments, the study found significant percentage differences between the normalization procedure and the fuzzy system on days with lower irradiation values. On the other hand, the results provided by Bayesian networks presented lower difference percentages in relation to the normalization equation values.

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Sensing Architecture in Smart City: A Review Paper 10

Sensing Architecture in Smart City: A Review Paper

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10th International Conference on ICT for Smart Society, ICISS 2023

作者： Eriyadi, Mindit Supangkat, Suhono Harso Hidayat, Fadhil Doctoral Program of Instiut Teknologi Bandung Bandung Indonesia School of Applied Science Universitas Telkom Bandung Indonesia School of Electrical Engineering and Informatics Instiut Teknologi Bandung Bandung Indonesia Institut Teknologi Bandung Smart City and Community Innovation Center Bandung Indonesia

ISBN: (纸本)9798350339543

Relevant smart city research involves many highly futuristic applications, such as smart transportation, in which smart roads warn drivers of impending traffic jams, smart parking, which communicates the location of available parking spaces to drivers, and smart environments, which allow homes and workplaces to fully automatically adjust their temperature to save energy. Complexity in the city sensing section is caused by the complexity of urban systems. The enormous number of sensor types and technologies utilized for municipal data collecting provide a problem. Some of the issues in city sensing are node deployment, sensing management, sensor network types, and their derivative variables, necessitating the development of a city sensing architecture capable of contributing to advances in efficiency, accuracy, and real-timeness. © 2023 IEEE.

关键词： Internet of things

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Finding the Important Elements Linked to Integration Problems in the Use of Enterprise Resource Planning Systems 9

Finding the Important Elements Linked to Integration Problem...

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9th International Conference on Information Management and Technology, ICIMTech 2024

作者： Sardjono, Wahyu Kristin, Desi Maya Pranata, Dewi Sagita Bina Nusantara University BINUS Graduate Program Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia King's College London Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences Department of Informatics WC2R 2LS United Kingdom

ISBN: (纸本)9798350390025

Organizations face an urgent need to become faster, more efficient, and more successful in their commercial operations, given the current state of technological evolution and the arrival of Industry 4.0. Many businesses have adopted the idea of enterprise resource planning (ERP) systems to achieve this goal. The ERP system is expected to increase worker productivity, improve business performance to maximize profitability and profits, and provide accurate and up-to-date data and information to management and stakeholders. This research aims to find new variables related to integration problems in the use of ERP systems. Using the SPSS statistical program, the data collected will be examined using quantitative exploratory factor analysis (EFA). Data processing then includes collecting demographic information from respondents, reliability testing, conducting the Kaiser-Meyer-Olkin (KMO) test, testing using an anti-image matrix, and deriving new factors using a rotation component matrix. This research seeks to identify new elements underlying ongoing integration problems in ERP system implementation. The research results show several reasons for underlying integration problems and offer in-depth information to management that can be used to analyze and evaluate the ERP system in their company appropriately in the future so that the company's performance becomes superior to the competition. © 2024 IEEE.

关键词： Profitability

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Sentiment Analysis of Cooking Oil Price Policy in Indonesia using Word2Vec Feature Extraction and Bidirectional Long Short Term Memory

Sentiment Analysis of Cooking Oil Price Policy in Indonesia ...

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International Conference of Advanced informatics: Concept, Theory and Application (ICAICTA)

作者： Dedy Sugiarto Ema Utami Ainul Yaqin Suwanto Raharjo Faculty of Industrial Technology Universitas Trisakti DKI Jakarta Indonesia Master Program of Informatics Engineering Universitas Amikom Yogyakarta Yogyakarta Indonesia Informatics IST AKPRIND Yogyakarta Yogyakarta Indonesia

The policy of the Ministry of Trade of the Republic of Indonesia which sets the highest retail price for cooking oil and then cancels it in early 2022 due to people's complaints about the difficulty of getting cooking oil in the market has received many responses from the public via social media. This study conducts sentiment analysis using Word2Vec and Bidirectional Long Short Term Memory (BLSTM) with the aim of studying the public's response to the removal of the highest retail price policy and effect of both skip-gram (SG) and continuous bag-of-words (CBOW), window size and dimension to the word similarity and accuracy. Data taken via Twitter in March 2022. The data then goes through preprocessing stages, manual labeling by experts, and word embedding using Word2Vec to be further classified using BLSTM. Data labeling produces imbalanced data where the largest is neutral sentiment (53%) followed by negative (27%) and positive (20%). ome of the words such as ‘mafia’, ‘mahal’, ‘langka’, ‘tangkap’, ‘bongkar’, and ‘mendag’ could become the government's attention. The similarity value of the SG model tends to have a higher value than CBOW at a lower word vector dimension. The model that gives the best performance results is the Word2Vec model with 50 dimensions, SG architecture and window size 5. This is shown in the accuracy of 0.71 which is the highest value and only shows slight signs of overfitting. Symptoms of over fitting will be more visible with increasing dimensions.

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Deep STI: Deep Stochastic Time-series Imputation on Electronic Health Records 46

Deep STI: Deep Stochastic Time-series Imputation on Electron...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Cheng, Ming-Che Hsieh, Yi-Hsien Hsu, Te-Cheng Su, Tung-Hung Lin, Che Institute of Communications Engineering National Tsing Hua University Hsinchu30013 Taiwan Taipei10617 Taiwan Division of Gastroenterolgy and Hepatology Dept. of Internal Medicine National Taiwan University Hospital Taipei10048 Taiwan Department of Electrical Engineering Ntu Taipei Taiwan Center for Advanced Computing and Imaging in Biomedicine Ntu Taipei Taiwan Smart Medicine and Health Informatics Program Ntu Taipei Taiwan

ISBN: (纸本)9798350371499

Electronic Health Records (EHRs) are a cornerstone of modern healthcare analytics, offering rich datasets for various disease analyses through advanced deep learning algorithms. However, the pervasive issue of missing values in EHRs significantly hampers the development and performance of these models. Addressing this challenge is crucial for enhancing clinical decision-making and patient care. Existing methods for handling missing data, ranging from simple imputation to more sophisticated approaches, often fall short of capturing the temporal dynamics inherent in EHRs. To bridge this gap, we introduce the Deep Stochastic Time-series Imputation (Deep STI) algorithm, an innovative end-to-end deep learning model that seamlessly integrates a sequence-to-sequence generative network with a prediction network. Deep STI is designed to leverage the observed time-series data in EHRs, learning to infer missing values from the temporal context with high accuracy. We evaluated Deep STI on the liver cancer data from the National Taiwan University Hospital (NTUH), Taiwan. Our results showed that Deep STI achieved better 5-year hepatocellular carcinoma predictions (19.21% in the area under the precision-recall curve) than extreme gradient boosting (18.15%) and Transformer (18.09%). The ablation study also illustrates the efficacy of our generative architecture design compared to regular imputations. This approach not only promises to improve the reliability of disease analysis in the presence of incomplete data but also sets a new standard for utilizing EHRs in predictive healthcare. Our work aims to advance the field of healthcare analytics and open new avenues for research in deep learning applications to EHRs. © 2024 IEEE.

关键词： Electronic health record

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Decision Support System in Determining the Achievement of Widyaiswara Value Using WASPAS and TOPSIS Algorithm 1

Decision Support System in Determining the Achievement of Wi...

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1st International Conference on Technology Innovation and Its Applications, ICTIIA 2022

作者： Pratama, Yudhistira Adhitya Iswara, Bagus Ajie Nababan, Adli Abdillah Information System Studies Program Pelita Harapan University Medan Campus Faculty Of Computer Science Medan Indonesia Master's Study Program Informatics Engineering Universitas Sumatera Utara Faculty Of Computer Science And Information Technology Medan Indonesia Digital Business Study Program Stmik Pelita Nusantara Medan Indonesia

ISBN: (数字)9781665488266

ISBN: (纸本)9781665488266

Widyaiswara is required to show the best performance to fulfill his duties and obligations. Therefore, it is very important to measure the performance of the Widyaiswara, so that it can be used as evaluation material by the BPSDM PROVSU. However, the assessment process that occurs is still not precise and time-consuming. Therefore, to minimize this, a decision support system is needed that can minimize time errors and data processing in decision-making so that the assessment runs well and accurately. This system was built by applying the WASPAS method and the TOPSIS method. Based on the results of tests carried out five times, the results of the WASPAS method processing time resulted in an average processing time of 0.00029791 ms and an average memory usage value of 2.836.44 kb, while the results of the TOPSIS method processing time test resulted in an average processing time - an average of 0.000296428 ms and an average memory usage value of 2.862.34 kb. © 2022 IEEE.

关键词： Decision support systems

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Improvement of Confidential Messages Secure Routing over Paths with Intersection in Cyber Resilient Networks 28

Improvement of Confidential Messages Secure Routing over Pat...

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28th International Conference on Information, Communication and Automation Technologies, ICAT 2022

作者： Lemeshko, Oleksandr Yeremenko, Oleksandra Mersni, Amal Gazda, Juraj Kharkiv National University of Radio Electronics V.V. Popovskyy Department of Infocommunication Engineering Kharkiv Ukraine International University of Sarajevo Department of Engineering Computer Sciences and Engineering Program Sarajevo Bosnia and Herzegovina Technical University of Kosice Department of Computers and Informatics Kosice Slovakia

ISBN: (纸本)9781665466929

The paper presents an improved method of confidential messages secure routing over intersecting paths in cyber resilient networks. It allows making fuller use of the available network resources. Within the method, the level of network security of routes, networks, and confidential messages, in general, was assessed due to the compromise probability of the network links. In turn, the message compromise probability is calculated by the formula of total probability, considering the level of network security of bridges in the network structure without prior calculation of disjoint paths set. According to the numerical study results of the method application, the most significant gain in terms of the message compromise probability has been obtained at a relatively low level of cyber threats in the network. The secure routing method was implemented and presented by software prototypes of secure routing protocols that can form the basis of advanced routing protocols supporting network security metrics. © 2022 IEEE.

关键词： Probability

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