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Service Oriented Fuzzy Decision Model for Road Traffic Engineering 9

Service Oriented Fuzzy Decision Model for Road Traffic Engin...

引用

9th IEEE International Conference on Computing, Engineering and Design, ICCED 2023

作者： Utama, Ditdit Nugeraha Zaki, Fauzan Affan Munjeri, Intan Juliani Putri, Nidya Utami Bina Nusantara University BINUS Graduate Program Master of Computer Science Computer Science Department Jakarta11480 Indonesia UIN Syarif Hidayatullah Information Systems Department Jakarta Indonesia

ISBN: (纸本)9798350370126

A number of attempts have already been implemented formally to solve road traffic congestion. However, the objective strategy type of road traffic engineering could not be proven truly. Try and error is one inefficient way in road traffic engineering to degrade the level of congestion. The study was conducted to propose a new service-oriented model (SOM) that combines fuzzy-logic and water flow algorithm methods (called FWFA). The method combination was operated as the main method to construct the decision model for selecting the objective strategy in road traffic engineering. Also, service-oriented architecture (SOA) is realized to implement such a constructed model practically. The Model can suggest the most optimal strategy decision in road traffic engineering. Here, a main traffic road of Juanda in area Ciputat, Tangerang Selatan, province Banten, Indonesia;was selected as a research object in this study. The constructed SOM for road traffic engineering was structurally delivered in this paper. © 2023 IEEE.

关键词： Fuzzy logic

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The Use of Deep and Machine Learning for Face Expression Recognition: A Literature Review 7

The Use of Deep and Machine Learning for Face Expression Rec...

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7th International Conference on Information Management and Technology, ICIMTech 2022

作者： Pangestu, Gusti Hendric Spits Warnars, Harco Leslie Soewito, Benfano Gaol, Ford Lumban BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (数字)9781665450904

ISBN: (纸本)9781665450904

In the current era, Artificial Intelligence (AI) and computer Vision take the main role and participating to the people daily activities. Face Expression became as interesting topic to be explore. Face expression recognition or detection could be applied in many aspects, such as for student focus detection based on face expression, intruder detection system, lie detection and many more. Referring the useful of face expression detection, there are also much research that focused on the methodology to detects or recognize the face expression. Several approaches are use such by using Deep Learning, Machine Learning and statistical method. This paper focused on the process to obtain and knowing the best approach or methods to recognize the face expression by using Systematic Literature Review (SLR) process. From hundreds of retrieved papers with similar interest, we do the selection based on the interest, scope, and topic similarity. The process keeps repeating until we found papers that has similarity criteria in output, dataset, subject and the methods. There are 6 papers in total that fulfil our requirements based on subject, output, result and methods. Subsequently, every research paper was deep-reviewed and compared with another to find the best approaches proposed and dataset used. © 2022 IEEE.

关键词： Intrusion detection

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Classification Prediction of Heart Disease Using Machine Learning Techniques 4

Classification Prediction of Heart Disease Using Machine Lea...

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4th International Conference on Artificial Intelligence and Data sciences, AiDAS 2023

作者： Setiawan, Kevis Jonathan Beratha, Putu Satria Anggereainy, Maria Susan Kurniawan, Afdhal School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Binus Graduate Program Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798350318432

Heart disease is also called a common one of global health concerns. A lot of research has been done before to predict someone whether has a heart disease or not by machine learning. In this study, we use five machine learning techniques as comparison which machine learning technique has a most accuracy to recognize heart disease in someone's condition. In this case, we are using UCI Cleveland Dataset as a sample and the result shows that the Support Vector Machine and K-Nearest Neighbor gives the most accuracy which is 85% along with many aspects respectively. © 2023 IEEE.

关键词： Support vector machines

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Imagery contents descriptions for People with visual impairments 23

Imagery contents descriptions for People with visual impairm...

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Proceedings of the XXII Brazilian Symposium on Human Factors in Computing Systems

作者： Alessandra Helena Jandrey Duncan Dubugras Alcoba Ruiz Milene Selbach Silveira School of Technology - Graduate Program in Computer Science PUCRS Brazil

ISBN: (纸本)9798400717154

Image descriptions are crucial in assisting individuals without eyesight by providing verbal representations of visual content. While manual and Artificial Intelligence (AI)-generated descriptions exist, automatic description generators have not fully met the needs of visually impaired People. In this study, we have examined the problems related to image descriptions reported in existing literature using the Snowballing technique. Through this method, we have identified thirteen issues, including ethical concerns surrounding physical appearance, gender and identity, race, and disability. Furthermore, we have identified five reasons why sighted Individuals often fail to provide descriptions for visual content, highlighting the necessity for accessibility campaigns that raise awareness about the social significance of descriptive sentences. We conducted interviews with eight low-vision volunteers, in which we analyzed the characteristics of descriptive sentences for 25 indoor images and gathered participants’ expectations regarding image descriptions. As a result, we propose a set of Good Practices for writing descriptive sentences aimed to assist automatic tools and sighted Individuals in generating more satisfactory and high-quality image descriptions. We hope our results will emphasize the societal importance of imagery descriptions and inspire the community to pursue further interdisciplinary research to address the issues identified in our study.

关键词： Good practices Image descriptions Visually impaired People

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Applications of Artificial Intelligence and Big Data for Strengthening the Role of Intelligence in Human Security 8

Applications of Artificial Intelligence and Big Data for Str...

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8th IEEE International Conference on Computing, Engineering and Design, ICCED 2022

作者： Mubarok, Ahmad Shahrul Susandi, Armi Mantoro, Teddy State Intelligence College Medical Intelligence Post-Graduate Program Bogor Indonesia Sampoerna University Media-Tech Lab Departement of Computer Science Jakarta Indonesia

ISBN: (纸本)9781665453899

The state, through the government, should ensure national security and stability through the policies taken. For this reason, fast and accurate information and data are needed to form the basis for policymaking. Intelligence actors have an essential role in gathering information to identify and prevent threats within and outside the country. Technological advances affect changes in threats and increase the classification of these threats. Covid-19 is a real example of the threat in this era because almost all countries feel its impact. In addition to affecting health, the Covid-19 pandemic also impacts the global economic sector. The economic impact is felt by small and medium industries, goods and services products, and also the tourism sector. The method that is used in this study is a literature review from various national and international journals. AI and Big Data can be used to track viruses in real time, collect adequate public health data, and integrate vaccine use. Also, AI and Big Data can provide local decision and policy-makers with informed, evidence-based predictions. the threat of the Covid-19 pandemic and other infectious diseases that disrupt public health and have a broad impact must be anticipated and addressed in order to achieve the safety and existence of the nation and state. The author wants to emphasize the importance of the role of intelligence in anticipating threats from the visible to the invisible. © 2022 IEEE.

关键词： Artificial intelligence

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Private Data Protection as Countermeasure Against Misuses of Medical Intelligent Technology Data: A Literature Study 8

Private Data Protection as Countermeasure Against Misuses of...

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8th IEEE International Conference on Computing, Engineering and Design, ICCED 2022

作者： Praseptiadi Dahlian Persadha, Pratama Susandi, Armi Mantoro, Teddy State Intelligence College Medical Intelligence Post-graduate Program Bogor Indonesia Sampoema University Media-Tech Lab Department of Computer Science Jakarta Indonesia

ISBN: (纸本)9781665453899

Medical Technologies develop along with the development of the Industrial Revolution 4.0 (I.R. 4.0). In I.R. 4.0, a collaborative ecosystem is formed between cyber technology and automation technology to be able to create intelligent systems to facilitate various human activities, including activities related to health. The most important thing in the system is data since it is the basis for the development of various key icons technologies in the I.R. 4.0: Cloud Computing, Internet of Things (IoT), Big Data, Artificial Intelligence (Al), Augmented Reality, and Cyber Security. Unfortunately, with the variety of I.R. 4.0 products, the data produced by these products is also scattered everywhere. Misuse of this scattered data - which the owner may not even know where the data are stored - can harm the individual concerned, and even the very existence of the state. Healthcare services now are undergoing Digital Transformation in which these data were needed to build high-quality services. The Health Digital Transformation strategy changes the direction of health services to be simpler and easier to use by the public, increasing efficiency, and thus providing a higher quality health service system so that it can trigger better economic growth. On the regulatory aspect, The Private Data Protection Bill was proposed by the Indonesian government to protect the data of the Indonesian people. Literature studies are used to obtain knowledge between the three: technology development, digital transformation in healthcare, and private data protection. This study seeks how important private data protection regulation is to realize digitally transformed healthcare. The study conducted indicates Private Data Protection Bills have the means to guarantee the rights of the data owner and prevent their data (including medical intelligence data) to be misused. © 2022 IEEE.

关键词： Intelligent systems

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Evaluation Model of Urban Regional Knowledge Management Systems in Indonesia for Natural Disaster Mitigation 6

Evaluation Model of Urban Regional Knowledge Management Syst...

引用

6th International Conference on Cybernetics and Intelligent System, ICORIS 2024

作者： Sardjono, Wahyu Maryani Retnowardhani, Astari Lusia, Erma Zarlis, Muhammad Perdana, Widhilaga Gia Information Systems Management Department BINUS Graduate Program Bina Nusantara University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Tourism Department Faculty of Economics & Communication Bina Nusantara University Jakarta Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta Indonesia

ISBN: (纸本)9798331539603

Nearly the whole Indonesian Archipelago is threatened by earthquake hazards, both on a small and large scale. This indicates Indonesia's susceptibility to earthquakes, tsunamis, volcanic eruptions, and other geological calamities. With the assistance of other pertinent ministries and institutions, the National Disaster Management Agency (BNPB) in Indonesia is in charge of carrying out disaster management at the national level. In order for mitigation to function effectively and efficiently, this research is vital since it is based on the establishment of an evaluation model for an urban knowledge management system in Indonesia. The goal of the project is to create an assessment model for Indonesian urban knowledge management systems that can be applied to the deployment of autonomous socialization programs for disaster mitigation. Factor analysis and regression analysis are the primary techniques used in this work. Regression analysis is used to create a model that can represent the current state of mitigation socialization and be used to develop implementation strategies in the future. Factor analysis is used to identify dominant factors in the implementation of knowledge management systems that support independent socialization. © 2024 IEEE.

关键词： Disaster prevention

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Integrated Framework for IT Asset Physical Security: A Risk Management Approach Using NIST and ISO Standards

Integrated Framework for IT Asset Physical Security: A Risk ...

引用

International Conference on Information Technology Systems and Innovation (ICITSI)

作者： Ricky Alamsyah Yulyani Arifin Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331511470

ISBN: (纸本)9798331511487

This study presents a comprehensive approach to IT asset security risk management in physical access control systems, integrating NIST SP 800-116, 800-53, 800-30, ISO 31000, and 27002:2022 standards. Using a mixed-method approach, we conducted interviews, discussion forums, and observations with IT and security professionals in manufacturing and insurance sectors in Indonesia. Our findings reveal seven key factors crucial for physical security of IT assets, including policies, access authorization, and environmental controls. The study proposes a risk assessment model that determines authentication factor levels based on risk severity. Results indicate discrepancies between current practices and recommended security levels, particularly in server rooms and production areas. We provide a set of control recommendations aligned with ISO 27002:2022 to enhance physical security measures. This research contributes to both theory and practice by offering a holistic framework for managing physical security risks in IT environments, particularly relevant for organizations in emerging economies.

关键词： Authorization Adaptation models Technological innovation ISO Standards Prototypes Production Organizations NIST Risk management Servers

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A Deep Learning Based Model to Study the Influence of Different Brain Wave Frequencies for the Disorder of Depression 16th

A Deep Learning Based Model to Study the Influence of Differ...

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16th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2023

作者： Gosala, Bethany Gosala, Emmanuel Raj Gupta, Manjari Institute of Science Banaras Hindu University Uttar Pradesh Varanasi220005 India Department of Computer Science University Post-Graduate College Osmania University Telangana Secunderabad500003 India

ISBN: (纸本)9783031364013

The human brain is one of the most advanced, complex, and incredible machines which has continued to fascinate scientists, researchers, and scholars for hundreds of years. Many experiments and studies have been done on the human brain to understand its mechanism and how it works, yet we are not close to understanding its full potential. One way of studying the brain is to study the brain wave frequencies which are emitted by it. The brain emits five different types of waves namely, delta, theta, alpha, beta, and gamma. Studying these different waves can help in solving various psychological issues, and problems like anxiety, stress, and depression which every human faces at least once in their life, according to WHO depression will be the main cause of mental illness by 2030. This work aims to find the influence of different brain waves and their involvement in the case of depression. For this, we have used deep learning techniques and developed a supervised learning model called convolutional neural network (CNN) for the classification of signals from Major Depression Disorder (MDD) from the healthy control. The developed CNN is run in five brain waves, and we calculated the accuracy for performance evaluation of the developed model for each brain wave frequency. The best accuracy we get is 98.4% for the delta wave followed by 97.6% for the alpha wave and the beta wave giving the least accuracy of 72.83%. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Convolutional neural networks

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Exploring Cooperation and Competition in computer science Education: An Investigation Based on Game Theory 17

Exploring Cooperation and Competition in Computer Science Ed...

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17th International Conference on computer Supported Education, CSEDU 2025

作者： Moura, Waldir Siqueira Delbem, Edgar França, Juliana Baptista dos Santos Dias, Angélica Fonseca da Silva Computer Science Graduate Program PPGI Federal University of Rio de Janeiro Térreo Bloco E CCMN/NCE University City Rio de Janeiro68.530 Brazil

ISBN: (纸本)9789897587467

The study investigates the use of the game Overcooked as a pedagogical tool in primary education, focusing on cooperation and competition. The research, conducted throughout 2022, analyzed one semester as a baseline and another with pedagogical interventions. Four groups were studied: control (no interventions), game without instructions, game with teamwork guidance, and game without verbal communication. Questionnaires and qualitative/quantitative data assessed engagement, motivation, and cooperation. The interventions significantly improved performance, motivation, and skills such as teamwork and problem-solving, validating gamification as an educational resource. Copyright © 2025 by SCITEPRESS - science and Technology Publications, Lda.

关键词： Teaching

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