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2022 International Symposium on Networks, computers and Communications, ISNCC 2022

作者： Ximenes, Pablo Mello, Patricia School of Cybersecurity and Privacy College of Computing Atlanta United States Computer Science Graduate Program Fortaleza Brazil

ISBN: (数字)9781665485449

ISBN: (纸本)9781665485449

This paper uses the Diamond Model of intrusion analysis to discuss the intricacies and unfoldings of the cyberattack that enabled Operation 'Car Wash' leak (nicknamed 'VazaJato'), one of the most significant leaks in Brazil's political history. Our discussion tries to understand the cyberattack that took place in a threat intelligence perspective and, as a result, it draws conclusions and presents an assessment and some recommendations with regards to cybersecurity policy. © 2022 IEEE.

关键词： Cybersecurity

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Trend Intelligent Tutoring System 2018-2022 : Systematic Literature Review 3

Trend Intelligent Tutoring System 2018-2022 : Systematic Lit...

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3rd International Conference for Innovation in technology, INOCON 2024

作者： Suwita, Jaka Prabowo, Harjanto Hendric Spits Warnars, Harco Leslie Meyliana, Meyliana Binus Graduate Program Computer Science Bina Nusantara University Departement of Computer Science Jakarta11480 Indonesia Stmik Insan Pembangunan Department of Information System Tangerang15810 Indonesia Binus Business School Undergraduate Program Bina Nusantara University Management Department Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia

ISBN: (纸本)9798350381931

ITS is a method of teaching that uses technology to give lessons without the need for an instructor to be there. A systematic literature review (SLR) was conducted in this research to identify the components of an intelligent tutoring system, and the results are presented. The method used in this literature review is the prism method. The steps in the prism method are slr protocol, search for literature, select literature, summarize evidence and disseminate results. The slr protocol stage, it consists of determining a research question, searching for scientific reference sources with the keyword intelligent tutoring system, then sorting out the appropriate articles and making final conclusions. This article gives a detailed look at how the intelligent tutoring system changed over time during the pandemic epoch. Our contribution is complete information on the components of ITS in times of epidemic at universities, with the goal of improving their learning and practical use of the technology. © 2024 IEEE.

关键词： Prisms

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Exploring static rebalancing strategies for dockless bicycle sharing systems based on multi-granularity behavioral decision-making

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International Journal of Cognitive Computing in Engineering 2024年第1期5卷 27-43页

作者： Zhang, Chao Zhang, Jiahui Li, Wentao Castillo, Oscar Zhang, Jiayi School of Computer and Information Technology Shanxi University Taiyuan030006 China Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education Shanxi University Taiyuan030006 China College of Artificial Intelligence Southwest University Chongqing400715 China Division of Graduate Studies and Research Tijuana Institute of Technology Tijuana22379 Mexico School of Computer Science and Statistics Trinity College Dublin Dublin 2 Ireland

In the continuously evolving context of urbanization, more people flock to cities for job opportunities and an improved quality of life, resulting in undeniable pressure on transportation networks. This leads to severe daily commuting challenges for residents. To mitigate this urban traffic pressure, most cities have adopted urban dockless bicycle sharing systems (UDBSS) as an effective measure. However, making accurate decisions regarding UDBSS demand in different city locations is crucial, as incorrect choices can worsen transportation problems, causing difficulties in finding bicycles or excessive deployments leading to disorderly accumulation. To address this decision-making challenge, it is essential to consider uncertain factors like daily weather, temperature, and workdays. To tackle this effectively, we construct an adjustable multi-granularity (MG) complex intuitionistic fuzzy (CIF) information system using complex intuitionistic fuzzy sets (CIFSs). This system objectively determines classification thresholds using an evaluation-based three-way decision (TWD) method, creating adjustable MG CIF probabilistic rough sets (PRSs). Additionally, to recognize the irrationality of decision-makers (DMs), we propose a method that combines prospect theory (PT) with regret theory (RT), providing a more comprehensive understanding of the influence of DMs' psychological factors on decision outcomes. Building upon these foundations, we present static rebalancing strategies for UDBSS based on MG PRSs and prospect-regret theory (P-RT) within the CIF information system. Finally, using UDBSS data collected from various sensors, we conduct experimental analysis to verify its feasibility and stability. In summary, this approach considers residents’ daily usage preferences, including bicycles utilization and return, with the aim of minimizing unmet resident demands and predicting usage patterns for the next day. It effectively addresses the issue of UDBSS distribution inefficien

关键词： Bicycles

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Electrolyte accessibility of non-precious-metal catalysts with different spherical particle sizes under alkaline conditions for oxygen reduction reaction

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Journal of Energy Chemistry 2021年第1期30卷 326-331,I0011页

作者： Jiyeon Lee Jong Gyeong Kim Chanho Pak Graduate Program of Energy Technology School of Integrated TechnologyInstitute of Integrated TechnologyGwangju Institute of Science and TechnologyGwangju 61005Republic of Korea

Fuel cells are one of the most competitive alternative energy sources because their theoretical efficiency is~15%higher than that of internal combustion engines (ICEs) and they are considered cleaner and *** fuel cells are used to replace ICEs in cars and energy conversion systems,the system efficiency increases;furthermore,the process becomes more environmentally-friendly because fuel cells produce electricity by using only hydrogen and oxygen,obtained by purifying atmospheric air by filtering out dust and ***,their final product is only water,instead of pollutants like carboFuel cells are one of the most competitive alternative energy sources because their theoretical efficiency is~15%higher than that of internal combustion engines (ICEs) and they are considered cleaner and *** fuel cells are used to replace ICEs in cars and energy conversion systems,the system efficiency increases;furthermore,the process becomes more environmentally-friendly because fuel cells produce electricity by using only hydrogen and oxygen,obtained by purifying atmospheric air by filtering out dust and ***,their final product is only water,instead of pollutants like carbon dioxide.n dioxide.

关键词： Non-precious-metal catalyst Oxygen reduction reaction Size effect Electrolyte accessibility Alkaline fuel cell

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Analysis of Feature Parameters and Their Time-Transition for Shockable Arrhythmia and Prediction of the Effect of Electrical Defibrillation 3

Analysis of Feature Parameters and Their Time-Transition for...

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3rd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2024

作者： Noguchi, Shunta Yoshikawa, Yuta Okai, Takayuki Oya, Hidetoshi Rahman, Md. Masudur Yoshida, Minoru Graduate School of Integrative Science and Engineering Tokyo City University Tokyo Japan Tokyo City University Department of Computer Science Tokyo Japan Noakhali Science and Technology University Department of Information and Communication Engineering Bangladesh Kanagawa University Department of Applied Systems and Mathematics Kanagawa Japan

ISBN: (纸本)9798331540319

In this paper, we propose a prediction system of the effect of electrical defibrillation. In order to develop the proposed system, we firstly analyze from pre-shock (immediately before defibrillation) ECGs (ElectroCardioGrams) by using Gabor Wavelet Transform, Poincaré plot analysis, Spectral entropy, and feature parameters are extracted by those extracted analysis results, we focus on time-transition feature parameter. Next, effective feature parameters are selected based on χ2 -test. Finally, 'Effective' and 'Ineffective' for electrical defibrillation are classified by using SVM (Support Vector Machine) with three kernels (Linear, Gaussian, and Polynomial) and regularization. In this way, we shows the effectiveness of the proposed feature extraction methods and prediction system. © 2024 IEEE.

关键词： Support vector machines

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A Rational Secret Sharing Scheme Against Coalition Based on Nash Equilibrium and Neighbor's Strategy

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Chinese Journal of Electronics 2025年第3期23卷 564-568页

作者： Cheng Cai Bojun Wang Allah Ditta Yi Yang School of Electronic and Computer Engineering Shenzhen Graduate School Peking University Shenzhen China College of Computer Science and Technology Beijing University of Technology Beijing China

In order to prevent any arbitrary subsets of coalition in rational secret sharing, we propose a new one-way information transmission mechanism, every player in a rational secret sharing protocol only interacts with his around two players, which means his decision is strictly based on previous neighboring player's strategy. Combined with the punishment strategy of Maleka's scheme and pay-off distribution principle in Game Theory, our scheme is capable of achieving Nash equilibrium and has the feature of anti-coalition. For the conspirators, getting the secret at the same time or in less than necessary iteration rounds is almost impossible. Without repeated involvement of the dealer, our scheme has the features of verifiability, anti-coalition, and more meaningfully, superiority of approaching reality model by taking rational behavior into consideration.

关键词： Protocols Information processing Games Nash equilibrium Cryptography

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Ensemble-Stacking Machine Learning Model for Multi-Class Skin Diseases Identification 5

Ensemble-Stacking Machine Learning Model for Multi-Class Ski...

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5th International Conference on Biomedical Engineering, IBIOMED 2024

作者： Tandelon, Dennis Christiono, David Lawrence Andryani, Nur Afny Catur Gondokaryono, Srie P. Rahardja, July I. Danarti, Retno School of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia Bina Nusantara University BINUS Graduate Program Doctor of Computer Science Department Jakarta Indonesia Indonesian Society of Dermatology & Venereology Padjadjaran University Faculty of Medicine Indonesia Dermatovenereology Department Indonesia Indonesian Society of Dermatology & Venereology Gadjah Mada University Faculty of Medicine Indonesia Dermatovenereology Department Indonesia

ISBN: (纸本)9798350389265

Algorithm development on skin diseases identification with high cardinality classification is still very challenging. In addition, the high similarity appearance among diseases makes the computer vision approach meet high difficulties on providing clear distinct feature representation. In general, some literature shows that the performance of single machine learning or single deep learning techniques can be further improved when merged by ensemble mechanism. This approach has been applied on binary skin's cancer diseases diagnosis prediction and successfully improve the prediction ability. This paper elaborates the potential of ensemble machine learning approaches using stacking techniques on conducting feature extraction and classification model for identifying more general skin diseases based on dermoscopy images and mobile phone images. The proposed model combines three different CNN architectures, ResNet50, Xception, and VGG16 to extract features from the image then stacked as input for the model trained using five different algorithms, which are logistic regression, support vector machines, multi-layer perceptron, k-nearest neighbors, random forests and the combination of these algorithm in stacking classifier as the base estimators and final estimator. The simulation results present the proposed ensemble - stacking model succeeds to improve the identification ability in all utilized datasets. In addition, the proposed ensemble - stacking models show better recall which indicates good sensitivity on handling false negative. It is beneficial for medical application. © 2024 IEEE.

关键词： Federated learning

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Chemical vapor deposited diamond with versatile grades:from gemstone to quantum electronics

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Frontiers of Materials science 2022年第1期16卷 17-54页

作者： Yuting ZHENG Chengming LI Jinlong LIU Junjun WEI Xiaotong ZHANG Haitao YE Xiaoping OUYANG Institute for Advanced Materials and Technology(IAMT) State Key Laboratory for Advanced Metals and MaterialsUniversity of Science and Technology BeijingBeijing 100083China Shunde Graduate School University of Science and Technology BeijingFoshan 528399China School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China School of Engineering University of LeicesterLeicester LE17RHUK School of Materials Science and Engineering Xiangtan UniversityXiangtan 411105China

Chemical vapor deposited(CVD)diamond as a burgeoning multifunctional material with tailored quality and characteristics can be artificially synthesized and controlled for various ***,the application-related“grade”concept associated with materials choice and design was gradually formulated,of which the availability and the performance are optimally *** this review,the explicit diversity of CVD diamond and the clarification of typical grades for applications,i.e.,from resplendent gem-grade to promising quantum-grade,were systematically summarized and discussed,according to the crystal quality and main consideration of ubiquitous nitrogen impurity content as well as major *** of those,from quantum-grade with near-ideal crystal to electronic-grade having extremely low imperfections and then to optical,thermal as well as mechanical-grade needing controlled flaws and allowable impurities,would competently fulfill the multi-field application prospects with appropriate choice in terms of cost and ***,wide range defects and impurities in the gem-grade diamond(only indicating single crystal),which are detrimental for technology applications,endows CVD crystals with fancy colors to challenge their natural counterparts.

关键词： CVD diamond synthesis and characterization quality and impurity grading application

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Fitness Landscape Approximation with Dimensionality Reduction Using Multi-dimensional Scaling

Fitness Landscape Approximation with Dimensionality Reductio...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Zhao, Ying Yu, Jun Pei, Yan Graduate School of Computer Science and Engineering University of Aizu Fukushima Aizuwakamatsu965-8580 Japan Institute of Science and Technology Niigata University Nishi-ku Niigata950-2181 Japan University of Aizu Computer Science Division Fukushima Aizuwakamatsu965-8580 Japan

ISBN: (纸本)9798350337020

We propose a method that combines multi-dimensional scaling (MDS) with a regression model to approximate fitness landscapes and enhance the efficiency of evolutionary search algorithms. The approach involves projecting the original population onto a low-dimensional space using MDS, thereby preserving pairwise distances between data points. The optimal individual is determined using the approximated fitness landscape in the low-dimensional space and subsequently mapped back to the original space using our designed rules. Furthermore, several prediction points are generated in the proximity of the optimal individual to replace certain individuals. This iterative process is repeated multiple times to accelerate the search speed of evolutionary computation (EC). Experimental results demonstrate the superiority of our proposed method over the other two algorithms across most tested functions. © 2023 IEEE.

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Advanced Aerial Medical Logistics: Cold Chain Supply and Organ Delivery Drone

Advanced Aerial Medical Logistics: Cold Chain Supply and Org...

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Advancement in Electronics & Communication Engineering (AECE), International Conference on

作者： Sarvesh Bhayje Shubhangi Kharche Sanmitha Shetty Ved Gawade Sakshi Sakhare Department of Electronics & Computer Science SIES Graduate School of Technology India

ISBN: (数字)9798350364729

ISBN: (纸本)9798350364736

Organ transplantation is a life-saving medical procedure, but the increasing global demand for transplantable organs has exposed significant challenges, particularly in the timely and secure transportation of organs between donors and recipients. The success of these procedures often hinges on rapid and reliable organ delivery, where delays or mishandling can mean the difference between life and death. To address these challenges, the use of cold chain supply drones has emerged as a promising solution. By leveraging autonomous aerial technology, drones can transport organs efficiently while maintaining strict temperature control, crucial for organ viability. This survey paper explores the latest advancements in drone technology for organ transport, the legal frameworks governing their use, and the primary obstacles faced by the industry. Our research demonstrates a payload capacity of 1.2 kg for organ delivery drones and identifies quadcopters as the optimal platform. We further address temperature regulation within the organ storage box, ensuring precise preservation during transit. By combining stability analysis, payload capacity, and temperature control, our project aims to revolutionize organ delivery, making it more efficient, reliable, and accessible.

关键词： Cold chain Transportation Autonomous aerial vehicles Temperature control Organ transplantation Internet of Things Drones Payloads Logistics Quadrotors

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