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2025 International Conference on Advancement in Data Science, E-learning and information System, ICADEIS 2025

作者： Pratama, I. Putu Agus Eka Widyantara, I. Made Oka Linawati Gunantara, Nyoman Suakanto, Sinung Irawan, Eka Tresna Udayana University Doctoral Program of Engineering Sciences Faculty of Engineering Bali Badung Indonesia Udayana University Dept. of Electrical Engineering Faculty of Engineering Bali Badung Indonesia Telkom University Dept. of Information System West Java Bandung Indonesia Mayar International Pte. Ltd. Singapore

ISBN: (纸本)9798331513320

The increasing use of information Technology (IT) in all areas of life, followed by increasing cybersecurity threats on the user side, makes cybersecurity awareness among users an obligation that must be met. Several solutions currently available (guides, discussion forums, workshops) have not been able to provide good results and are lacking in terms of user engagement, adaptability, and optimizing available resources, so technology-based learning is needed, especially AI. This paper introduces the design and prototype of an AI-based learning system, especially with the Naive Retrieval-Augmented Generation (Naive RAG) method with three steps, including Retrieval, Augmented, and Generation. The system combines contextual user questions and answers with internal and domain knowledge systems to explain cybersecurity awareness to users dynamically and personally. The prototype that has been developed is then tested using the Black Box Testing method to evaluate functionality and usability. The test results show that the functionality of the system built has run well with a percentage of success of 100%, so it can be used as a technologybased learning medium for education and learning of user security awareness. © 2025 IEEE.

关键词： Adversarial machine learning

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Technology-Enhanced Learning for User Security Awareness Using AI-based Naive RAG: A Design and Prototype

Technology-Enhanced Learning for User Security Awareness Usi...

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Advancement in Data Science, E-learning and information Systems (ICADEIS), International Conference on

作者： I Putu Agus Eka Pratama I Made Oka Widyantara Linawati Nyoman Gunantara Sinung Suakanto Eka Tresna Irawan Doctoral Program of Engineering Sciences Faculty of Engineering Udayana University Badung Bali Indonesia dept. of Electrical Engineering Faculty of Engineering Udayana University Badung Bali Indonesia dept. of Information System Telkom University Bandung West Java Indonesia Mayar International Pte. Ltd. Singapore

ISBN: (数字)9798331513320

ISBN: (纸本)9798331513337

关键词： Electronic learning Retrieval augmented generation Knowledge based systems Prototypes Learning (artificial intelligence) Computer security Usability information technology Testing information systems

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WINDOW FUNCTIONS REPRESENTED BY B-SPLINE FUNCTIONS

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IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING 1989年第1期37卷 145-147页

作者： TORAICHI, K KAMADA, M ITAHASHI, S MORI, R Institute of Information Sciences and Electronics University of Tsukuba Japan Doctoral Program in Engineering University of Tsukuba Japan

Characteristics of window functions provided by B-spline functions are analyzed in comparison to other known windows. For the same highest-sidelobe level, those windows have a mainlobe bandwidth between those of Gauss... 详细信息

关键词： Spline functions Gauss splines (mathematics) B spline functions sidelobe window function

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Self-organization of spatio-temporal visual receptive fields

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IEICE TRANSACTIONS ON information AND SYSTEMS 1996年第7期E79D卷 980-989页

作者： Takahashi, T Hirai, Y Doctoral Program in Engineering University of Tsukuba Tsukuba-shi 305 Japan Institute of Information Sciences and Electronics University of Tsukuba Tsukuba-shi 305 Japan

A self-organizing neural network model of spatio-temporal visual receptive fields is proposed. It consists of a one-layer linear learning network with multiple temporal input channels, and each temporal channel has different impulse response. Every weight of the learning network is modified according to a Hebb-type learning algorithm proposed by Sanger. It is shown by simulation studies that various types of spatiotemporal receptive fields are self-organized by the network with random noise inputs. Some of them have similar response characteristics to X- and Y-type cells found in mammalian retina. The properties of receptive fields obtained by the network are analyzed theoretically. It is shown that only circularly symmetric receptive fields change their spatio-temporal characteristics depending on the bias of inputs. In particular, when the inputs are non-zero mean, the temporal properties of center-surround type receptive fields become heterogeneous and alter depending on the positions in the receptive fields.

关键词： self-organization spatio-temporal receptive field

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MAXIMAL ERROR EVALUATION TYPED STABLE MODEL-REFERENCE ADAPTIVE-CONTROL FOR PERIODICALLY LINEAR TIME-VARYING SYSTEMS

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INTERNATIONAL CONF ON SYSTEMS engineering

作者： ITAMIYA, K SHIN, S ANDO, K Doctoral Program in Engineering University of Tsukuba Japan Department of Mathematical Engineering and Information Physics University of Tokyo Japan Institute of Information Sciences and Electronics University of Tsukuba Japan

ISBN: (纸本)0780307348

This paper presents a model reference adaptive control system (MRACS) which does not depend on the degree of the plant when the plant is the continuous-time periodically linear time-varying system. A priori information is only the relative degree and the time-varying period. The controller has adjustable scalar functions. The optimal functions of these are directly estimated synchronizing with the time-varying period of the plant by adaptive laws. The main contribution of this paper is that the computational burden of the adaptive law for the direct function estimation is reduced. It is accomplished with the maximum normalized error evaluation typed adaptive law. The design method and the global stability analysis of the proposed system axe shown. © 1992 IEEE.

关键词： Model reference adaptive control

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Grid environment for computational astrophysics driven by GRAPE-6 with HMCS-G and OmniRPC

Grid environment for computational astrophysics driven by GR...

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19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005

作者： Boku, Taisuke Onuma, Kenji Sato, Mitsuhisa Nakajima, Yoshihiro Takahashi, Daisuke Graduate School of Systems and Information Engineering University of Tsukuba Center for Computational Sciences University of Tsukuba Doctoral Program of Systems and Information Engineering University of Tsukuba

ISBN: (纸本)0769523129

In computational astrophysics, the effect of gravity is essential even with very heavy computation of O(N2) for N particles. Several special purpose machines have been implemented as gravity engine to handle this problem extremely fast, however there are few sites in the world to operate such systems. We have developed a grid environment to access such a system based on grid-RFC, named HMCS-G. Using HMCS-G, a multi-physical computational astrophysics simulation can be performed with the combination of a PC-cluster and the gravity engine GRAPE-6. In typical size of problems for galaxy formation, however, the computation power of PC-cluster is much weaker than that of GRAPE-6, and we need multiple sets of PC-clusters to share the power of GRAPE-6 on grid environment. We have developed such a system using OmniRPC, a grid-enabled RPC system. In this system, OmniRPC are used both to distribute jobs for parameter search on multiple PC-clusters and to access GRAPE-6 server from these clusters. We performed an actual problem to search several formations of galaxy on this system, and confirmed such a solution is useful for wide variety of computational astrophysics research.

关键词： Distributed computer systems

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Synthesizing and evaluating animations of american sign language verbs modeled from motion-capture data 6

Synthesizing and evaluating animations of american sign lang...

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6th Workshop on Speech and Language Processing for Assistive Technologies, SLPAT 2015

作者： Huenerfauth, Matt Lu, Pengfei Kacorri, Hernisa Rochester Institute of Technology Golisano College of Computing and Information Sciences United States Center CUNY Doctoral Program in Computer Science United States

ISBN: (纸本)9781941643792

Animations of American Sign Language (ASL) can make information accessible for many signers with lower levels of English literacy. Automatically synthesizing such animations is challenging because the movements of ASL signs often depend on the context in which they appear, e.g., many ASL verb movements depend on locations in the signing space the signer has associated with the verb s subject and object. This paper presents several techniques for automatically synthesizing novel instances of ASL verbs whose motion-path and hand-orientation must accurately reflect the subject and object locations in 3D space, including enhancements to to prior state-of-The-Art models. Using these models, animation generation software could produce an infinite variety of indicating verb instances. Using a corpus of motion-capture recordings of multiple performances of eight ASL indicating verbs, we modeled the signer s hand locations and orientations during each verb, dependent upon the location in the signing space where the subject and object were positioned. In a user study, ASL signers watched animations that included verbs synthesized from these models, and we found that they had similar quality to those produced by a human animator. © SLPAT 2015 - 6th Workshop on Speech and Language Processing for Assistive Technologies, Proceedings.

关键词： Animation

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Evaluating a dynamic timewarping based scoring algorithm for facial expressions in asl animations 6

Evaluating a dynamic timewarping based scoring algorithm for...

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6th Workshop on Speech and Language Processing for Assistive Technologies, SLPAT 2015

作者： Kacorri, Hernisa Huenerfauth, Matt Center CUNY Doctoral Program in Computer Science United States Rochester Institute of Technology Golisano College of Computing and Information Sciences United States

ISBN: (纸本)9781941643792

Advancing the automatic synthesis of linguistically accurate and natural-looking American Sign Language (ASL) animations from an easy-To-update script would increase information accessibility for many people who are deaf by facilitating more ASL content to websites and media. We are investigating the production of ASL grammatical facial expressions and head movements coordinated with the manual signs that are crucial for the interpretation of signed sentences. It would be useful for researchers to have an automatic scoring algorithm that could be used to rate the similarity of two animation sequences of ASL facial movements (or an animation sequence and a motioncapture recording of a human signer). We present a novel, sign-language specific similarity scoring algorithm, based on Dynamic Time Warping (DTW), for facial expression performances and the results of a user-study in which the predictions of this algorithm were compared to the judgments of ASL signers. We found that our algorithm had significant correlations with participants comprehension scores for the animations and the degree to which they reported noticing specific facial expressions. © SLPAT 2015 - 6th Workshop on Speech and Language Processing for Assistive Technologies, Proceedings.

关键词： Animation

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Enhancing safety with an AI-empowered assessment and monitoring system for BSL-3 facilities

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Heliyon 2025年第1期11卷 e40855页

作者： Fan, Yi-Ling Hsu, Ching-Han Wu, Ju-Yu Tsai, Ying-Ying Chen, Wei J. Lee, Min-Shi Hsu, Fang-Rong Liao, Lun-De Institute of Biomedical Engineering and Nanomedicine National Health Research Institutes 35 Keyan Road Miaoli County Zhunan Town 350 Taiwan Department of Biomedical Engineering & Environmental Sciences National Tsing-Hua University Hsinchu Taiwan Doctoral Program in Tissue Engineering and Regenerative Medicine National Chung Hsing University Taichung Taiwan Center for Neuropsychiatric Research National Health Research Institutes 35 Keyan Road Miaoli County Zhunan Town 350 Taiwan National Institute of Infectious Diseases and Vaccinology National Health Research Institutes 35 Keyan Road Miaoli County Zhunan Town 350 Taiwan Department of Information Engineering and Computer Science Feng Chia University Taichung 407 Taiwan

Introduction: The COVID-19 pandemic has created an urgent demand for research, which has spurred the development of enhanced biosafety protocols in biosafety level (BSL)-3 laboratories to safeguard against the risks associated with handling highly contagious pathogens. Laboratory management failures can pose significant hazards. Methods: An external system captured images of personnel entering a laboratory, which were then analyzed by an AI-based system to verify their compliance with personal protective equipment (PPE) regulations, thereby introducing an additional layer of protection. A deep learning model was trained to detect the presence of essential PPE items, such as clothing, masks, hoods, double-layer gloves, shoe covers, and respirators, ensuring adherence to World Health Organization (WHO) standards. The internal laboratory management system used a deep learning model to delineate alert zones and monitor compliance with the imposed safety protocols. Results: The external detection system was trained on a dataset consisting of 4112 images divided into 15 PPE compliance classes. The model achieved an accuracy of 97.52 % and a recall of 97.03 %. The identification results were presented in real time via a visual interface and simultaneously stored on the administrator's dashboard for future reference. We trained the internal management system on 3347 images, achieving 90 % accuracy and 85 % recall. The results were transmitted in JSON format to the internal monitoring system, which triggered alerts in response to violations of safe practices or alert zones. Real-time notifications were sent to the administrators when the safety thresholds were met. Conclusion: The BSL-3 laboratory monitoring system significantly reduces the risk of exposure to pathogens for personnel during laboratory operations. By ensuring the correct use of PPE and enhancing adherence to the imposed safety protocols, this system contributes to maintaining the integrity of BSL-3 facilities

关键词： Bioengineering Biomedical instrumentation Biomedical laboratory safety Biosafety level-3 laboratory

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Creating an Inclusive, Vibrant Learning Environment within a Large, Software engineering program - Experiential Learning Experiences Created for Students, Faculty, and Senior Design Coaches & Sponsors

Creating an Inclusive, Vibrant Learning Environment within a...

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CoNECD 2021

作者： Bailey, Margaret B. Sharma, Naveen Verschage, Lana Conlon, Timothy T. Department of Mechanical Engineering Kate Gleason College of Engineering Rochester Institute of Technology Department of Software Engineering Golisano College of Computing and Information Sciences Rochester Institute of Technology Xerox Corporation Women in Computing Program Golisano College of Computing and Information Sciences Rochester Institute of Technology

Creating an Inclusive, Vibrant Learning Environment within a Large, Software engineering program - Experiential Learning Experiences Created for Students, Faculty, and Senior Design Coaches & Sponsors This presentation describes several initiatives currently underway within a large software engineering (SE) department at a private university within the northeast US to positively affect levels of inclusiveness within the department's learning environment. information gathered from faculty, staff, student interviews and focus group discussions, as well as a department goal to improve female freshmen retention in the SE major motivated the SE department chair, departmental academic advisors and faculty, and the college's women in computing director to launch this set of aligned activities in collaboration with the NSF ADVANCE funded program (NSF #1209115) at the university level. The resulting activities ideally enhance diversity and inclusion for students from all underrepresented groups in the program with a focus on groups based on gender. Four experiential learning experiences have been created and concurrently implemented within the SE department to promote an inclusive academic environment. These include: (1) faculty targeted discussions and summer readings, (2) an interactive workshop designed for all first year SE students, (3) a workshop created for the coaches and sponsors, most of who are not regular RIT employees, who directly mentor student teams for the two‐semester senior project course, and (4) the development of a resource flowchart which supports students, faculty, and staff in maintaining an inclusive learning environment within the department. The approach used in creating each is adaptive and the four resulting products are multi‐faceted in regards to target audience, modality of learning experience, and composition of creation team. Furthermore, we will discuss key metrics aligned with the department's goal to measure impacts resulting from these

关键词： Students

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