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2nd International Conference on Computer, Science, Engineering, and technology, ICComSET 2019

作者： Yulianton, H. Warnars, H.L.H.S. Soewito, B. Gaol, F.L. Abdurachman, E. Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Faculty of Information Technology Universitas Stikubank Semarang50243 Indonesia

The web continues to grow and attacks against the web continue to increase. This paper focuses on the literature review on scanning web vulnerabilities and solutions to mitigate web attacks. Vulnerability scanning methods will be reviewed as well as frameworks for improving web security. This research is the basis for future work that will end with the elaboration of web scanning and security with the aim of proposing better innovations. © Published under licence by IOP Publishing Ltd.

关键词： Scanning

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Analysis of Rehabilitation Methods for Small Dogs Based on the Muscular Activity

Analysis of Rehabilitation Methods for Small Dogs Based on t...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Daisuke Chugo Yujie Li Satoshi Muramatsu Sho Yokota Jin-Hua She Hiroshi Hashimoto Hiroaki Kamishina Hiroyuki Hirabayashi Graduate School of Science and Technology Kwansei Gakuin University Sanda Hyogo Japan School of Information Science and Technology Tokai University Hiratsuka Kanagawa Japan Faculty of Science and Engineering Toyo University Kawagoe Saitama Japan School of Engineering Tokyo University of Technology Hachioji Tokyo Japan Master Program of Innovation for Design and Engineering Advanced Institute of Industrial Technology Shinagawa Tokyo Japan KyotoAR Animal Advanced Medical Center Kuse Kyoto Japan Sakura Animal Hospital Yatomi Aichi Japan

In recent years, with the increase in the number of dogs, paralysis of the lower limbs due to herniated discs in dogs has become a problem. There is no fundamental cure for this condition, and the main treatment is physical therapy. Usually, these dogs need physical therapy with a physical therapist every day, but it’s not realistic. Therefore, it is required that the owner be effective rehabilitation at home. However, quantitative evaluation methods have not been established for physiotherapy because physiotherapy is performed by veterinarians based on their experience. In this paper, we proposes a musculoskeletal model of the dog’s lower limb to analyze the dynamics of rehabilitation movements and confirm its validity by comparing the muscular activity obtained from the model with the measured EMG data. Using proposed model, we performed a simulation experiment to discuss the relationship between the timing of the input force and muscular activity by changing the timing of the input force. From the data obtained in the experiment, we investigated the relationship between the timing of the input force and the muscular activity and clarify how to input a support force for the physical therapy.

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Understanding How to Expose Clinical-Friendly Drug Cues with Virtual Reality and the Impact on Biofeedback Signals

Understanding How to Expose Clinical-Friendly Drug Cues with...

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Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers

作者： Chi-Hung Huang Chun-Huang Lin Zih-Yun Jheng Hung-Wen Lin Pin-Chieh Chen Chien Wen (Tina) Yuan Nanyi Bi Ming-Chyi Huang Chuang-Wen You National Tsing Hua University Taiwan Graduate Institute of Library and Information Studies National Taiwan Normal University Taiwan The IoX Center National Taiwan University Taiwan Department of Psychiatry Taipei City Psychiatric Center Taipei City Hospital Songde Branch Taiwan Interdisciplinary Program of Technology and Art National Tsing Hua University Taiwan

ISBN: (纸本)9781450394239

Cue exposure can be an invaluable tool by which to learn the skills of cue identification and craving perception in the development of mind-body awareness. Virtual reality (VR) has proven highly effective in cue-exposure therapy. In the current study, we developed a system for the collection of biofeedback data during the VR experience and while recounting these experiences with a psychotherapist afterward. Our results provide insight into the means by which VR cues induce cravings and impact the emotional state of the user.

关键词： Cue exposure Biofeedback. Drug addiction

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Towards Better Cyber Security Consciousness: The Ease and Danger of OSINT Tools in Exposing Critical Infrastructure Vulnerabilities

Towards Better Cyber Security Consciousness: The Ease and Da...

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International Conference on Computer Science and Engineering (UBMK)

作者： Muhammad Hasban Pervez Mert Ilhan Ecevit Najiba Zainab Naqvi Reiner Creutzburg Hasan Dag Dept. of Management Information Systems Kadir Has University Istanbul Türkiye Cyber Security and Critical Infrastructure Research Center Kadir Has University Istanbul Türkiye Cyber Security Graduate Program Kadir Has University Istanbul Türkiye Berlin School of Technology SRH Berlin University of Applied Sciences Berlin Germany

This article explores open-source intelligence (OS-INT) to identify the vulnerabilities and loopholes in power grid systems, focusing on an electrical distribution company operating in Turkey. The study emphasizes the potential risks of sharing publicly available information on social media accounts, websites, reports, and press releases which most companies overlook. It highlights that individuals or adversaries can exploit this information to harm companies and countries that may not be fully aware of these vulnerabilities. OSINT tools can efficiently gather interpretable data on a company, which companies unknowingly share. By refining the collected data, the study aims to understand the technologies used, their software versions, and any associated vulnerabilities. Web scraping tools extract data from the company's website, which may contain critical information about updates, ongoing systems, and technologies. The article provides a comprehensive understanding of the potential risks and vulnerabilities associated with sharing sensitive information and the various OSINT tools and techniques that can be used to identify and address these vulnerabilities. The importance of vigilance against the potential harm that remote or unrelated individuals can inflict using OSINT capabilitiesis underscored. This study shows how easy it is to detect vulnerabilities in a critical infrastructure system using OSINT tools.

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Accuracy Enhancement of L-Band EPR Tooth Dosimetry by Implementing Multiple Harmonic Detection

SSRN

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SSRN 2024年

作者： Oh, Jeonghun Koo, Chang Uk Park, Jong In Choi, Kwon Lee, Junyoung Hirata, Hiroshi Ye, Sung-Joon Program in Biomedical Radiation Sciences Graduate School of Convergence Science and Technology Seoul National University Seoul08826 Korea Republic of Ionizing Radiation Metrology Group Korea Research Institute of Standards and Science Daejeon34113 Korea Republic of Research Institute for Convergence Science Seoul National University Seoul08826 Korea Republic of Division of Bioengineering and Bioinformatics Faculty of Information Science and Technology Hokkaido University Sapporo060–0814 Japan Department of Applied Bioengineering Graduate School of Convergence Science and Technology Seoul National University Seoul08826 Korea Republic of Advanced Institute of Convergence Technology Seoul National University Suwon16629 Korea Republic of Biomedical Research Institute Seoul National University Hospital Seoul03080 Korea Republic of

In a large-scale radiation accident, the swift classification of individuals exposed to high levels of radiation is crucial to minimize casualties. In-vivo tooth dosimetry using L-band electron paramagnetic resonance (EPR) spectroscopy is a promising method for this purpose, as it can estimate individual exposure levels rapidly and non-invasively. However, the accuracy of dose estimation associated with this technique remains a great challenge. To enhance the accuracy, digital multiple harmonic detection (MHD) was incorporated into a home-built L-band EPR spectrometer. This approach enabled the utilization of information present in higher harmonics of EPR signals, which has been often discarded in traditional EPR spectroscopy. Acquired multiple harmonic spectra were reconstructed to the first derivative spectrum to merge information and mitigate the signal broadening. The modulation amplitude varied in a range of 0.3 to 0.7 mT to maximize the accuracy. In a 0.5-minute measurement at 0.6 mT, the standard error of inverse prediction (SEIP) was reduced to 0.57 Gy from 0.71 Gy. The statistical significancy of the enhancement was validated. In conclusion, the accuracy enhanced by this MHD can contribute to improving the efficiency of triage systems in the aftermath of a mass radiation accident. © 2024, The Authors. All rights reserved.

关键词： Paramagnetic resonance

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Strategic Planning and Knowledge Management Approaches as input to remote area strategic plans: A Case study in Aru Islands Regency Maluku Province 8

Strategic Planning and Knowledge Management Approaches as in...

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8th International Conference on ICT for Smart Society, ICISS 2021

作者： Irena Gutandjala, Ilona Harso Supangkat, Suhono Lumban Gaol, Ford Rianti, Benny Bina Nusantara University BINUS Graduate Program-Computer Science Computer Science Department Jakarta11480 Indonesia Bandung Institute of Technology Smart City and Community Innovation Center School of Electrical and Informatics Engineering Bandung Indonesia Information Systems Department BINUS Online Learning Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781665416979

Knowledge is an important asset in an organization. Aru Islands District is one of the districts in Maluku Province. The Government of Aru Islands District Maluku has a vision and mission as outlined in the Regional Strategic Plan or commonly referred to as RENSTRA. This vision and mission are an activity that requires a policy direction that is planned and integrated with the strategic environment of all related aspects. The strategic plan is then realized with the implementation of the government with regional autonomy which is the modern governance in realizing quality public services, fast, easy, fair and unlimited for the welfare and progress of the region. In this research will be used a strategic approach as input from the analysis with knowledge management and assessment of the condition of Aru district. © 2021 IEEE.

关键词： Strategic planning

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Reproducing ATT&CK Techniques and Lifecycles to Train Machine Learning Classifier

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IEEE Network 2025年

作者： Yudha, Fietyata Lin, Ying-Dar Lai, Yuan-Cheng Sudyana, Didik Hwang, Ren-Hung EECS International Graduate Program National Yang Ming Chiao Tung University Hsinchu City300 Taiwan Department of Computer Science National Yang Ming Chiao Tung University Hsinchu City300 Taiwan The Department of Information Management National Taiwan University of Science and Technology Tapei106 Taiwan The Computer and Network Center National Cheng Kung University Tainan701 Taiwan The College of Artificial Intelligence National Yang Ming Chiao Tung University Tainan711 Taiwan

he MITRE ATT&CK framework categorizes threat actor behaviors into a sequence of techniques called the attack lifecycle. Based on this, Our work introduces a dual-labeled dataset that is accurately labeled with distinct techniques and lifecycles defined by ATT&CK. The dataset offered a more thorough perspective than previous datasets that employed binary or attack classification. It encompassed 17 distinct techniques throughout five lifecycles and was generated through an automated method that guarantees reproducibility and learnability. Reproducibility guarantees the dataset’s consistency, whereas learnability signifies its use in training machine learning models. Our analysis produced a positive result. The dataset achieved a Pearson correlation coefficient of 0.7 for reproducibility. Regarding distinguishing classes, it exhibits an average AUC-ROC score of 0.92 for techniques and 0.82 for lifecycles. The model training yielded an average F1 score of 0.95 for technique classification and 0.9 for lifecycle classification, but only for the traffic dataset. © 1986-2012 IEEE.

关键词： Adversarial machine learning

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Construction and Evaluation of Situational System for Introducing Interactive technology into Ecotourism of Active Aging Group 22nd

Construction and Evaluation of Situational System for Introd...

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22nd International Conference on Human Computer Interaction, HCII 2020

作者： Lu, Li-Shu Wu, PeiFen Huan, Guan-Yuan Department and Graduate School of Digital Media Design National Yunlin University of Science and Technology Douliu Taiwan Department of Information Management and Master Program in Digital Content Technology and Management National Changhua University of Education Changhua Taiwan

ISBN: (纸本)9783030601485

Due to the issue of population aging faced by Taiwan, the government is implementing policies on encouraging the elderly to engage in social activities in their life after retirement, so as to enable them to enjoy a contented and happy retirement life and further forget their ages. In the population aging society, the elderly have an increasingly greater demand for ecotourism. Therefore, in this study, by taking ecotourism as an example, a research on the engagement of the elderly in technology enhanced interactive scenarios of ecotourism was conducted. Purpose of this study was mainly to propose the design system of technology enhanced interactive scenarios suitable for experience of the elderly. In this study, experience demands of the elderly were understood through relevant literature review, preliminary survey and field survey. Subsequently, design concepts of interactive scenarios were proposed through Scenario Approach and a prototype of interactive scenario was designed through Rapid Prototyping Method. Research results: a total of 8 concepts of interactive scenarios were proposed in this study through demand investigation, including provision of experience information, voice guide experience, enhancement of experience fun, trigger of experience scenario, enhancement of intellectual fun, basic knowledge query, enhancement of sensory experience, and sharing and memory. At last, the prototype of "i-Travel" interactive experience scenario was proposed through Prototyping Method. The interactive system consists of 8 interactive scenario concepts, experience contents and navigation design, design of scenario navigation APP, etc. Results of this study will be applied for subsequent assessment and validation of scenario experience awareness of this system. © 2020, Springer Nature Switzerland AG.

关键词： Surveys

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Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks

arXiv

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arXiv 2023年

作者： Du, Hongyang Zhang, Ruichen Niyato, Dusit Kang, Jiawen Xiong, Zehui Kim, Dong In Shen, Xuemin Poor, H. Vincent The School of Computer Science and Engineering The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The School of Computer Science and Engineering Nanyang Technological University Singapore The School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of The Department of Electrical and Computer Engineering University of Waterloo Canada The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

Driven by advances in generative artificial intelligence (AI) techniques and algorithms, the widespread adoption of AI-generated content (AIGC) has emerged, allowing for the generation of diverse and high-quality content. Especially, the diffusion model-based AIGC technique has been widely used to generate content in a variety of modalities. However, the real-world implementation of AIGC models, particularly on resource-constrained devices such as mobile phones, introduces significant challenges related to energy consumption and privacy concerns. To further promote the realization of ubiquitous AIGC services, we propose a novel collaborative distributed diffusion-based AIGC framework. By capitalizing on collaboration among devices in wireless networks, the proposed framework facilitates the efficient execution of AIGC tasks, optimizing edge computation resource utilization. Furthermore, we examine the practical implementation of the denoising steps on mobile phones, the impact of the proposed approach on the wireless network-aided AIGC landscape, and the future opportunities associated with its real-world integration. The contributions of this paper not only offer a promising solution to the existing limitations of AIGC services but also pave the way for future research in device collaboration, resource optimization, and the seamless delivery of AIGC services across various devices. Our code is available at https://***/HongyangDu/DistributedDiffusion. © 2023, CC BY.

关键词： Wireless networks

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Dynamic programming Algorithm using Furniture Industry 0/1 Knapsack Problem

Dynamic Programming Algorithm using Furniture Industry 0/1 K...

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International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Mietha Anditta Natashya Amartya Laurens Spits Warnars Harco Leslie Hendric Spits Warnars Arief Ramadhan Teddy Siswanto Teddy Mantoro Nurulhuda Noordin Computer Science Departement School of Computer Science Bina Nusantara University Jakarta Indonesia Information Systems Departement School of Information Systems Bina Nusantara University Jakarta Indonesia Computer Science Departement BINUS Graduate Program - Computer Science Bina Nusantara University Jakarta Indonesia PJJ Informatika Telkom University Bandung Indonesia Information Systems Department Trisakti University Jakarta Indonesia Faculty of Engineering and Technology Sampoerna University Jakarta Indonesia School of Computing Sciences College of Computing Informatics and Mathematics Universiti Teknologi MARA Selangor Malaysia

Dynamic programming is a fundamental algorithm that can be found in our daily lives easily. One of the dynamic programming algorithm implementations consists of solving the 0/1 knapsack problem. A 0/1 knapsack problem can be seen from industrial production cost. It is prevalent that a production cost has to be as efficient as possible, but the expectation is to get the proceeds of the products higher. Thus, the dynamic programming algorithm can be implemented to solve the diverse knapsack problem, one of which is the 0/1 knapsack problem, which would be the main focus of this paper. The implementation was implemented using C language. This paper was created as an early implementation algorithm using a Dynamic program algorithm applied to an Automatic Identification System (AIS) dataset.

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