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10th International Conference on Smart Computing and Communication, ICSCC 2024

作者： Melinda, Melinda Purnamasari, Prima Dewi Fahmi, Fahmi Sinulingga, Emerson Muliyadi, Muliyadi Yamin, Imam Ashabul Universitas syiah kuala Dept. electrical and computer engineering Banda Aceh Indonesia Universitas Indonesia Dept. electrical engineering Depok Indonesia Universitas sumatera utara Dept. electrical engineering Medan Indonesia Medan Indonesia Universitas syiah kuala Doctoral program in engineering dept. electrical engineering Banda Aceh Indonesia

ISBN: (纸本)9798350363104

Electroencephalography (EEG) is a non-invasive brain imaging technique essential for neuroscience research and clinical applications. Conventional EEG devices are often expensive and impractical for use outside clinical or laboratory settings. This study reports the experience of acquiring EEG data using the Cyton board biosensing, an open-source and portable biosensor device. Detailed procedures for subject preparation, electrode placement, device configuration, and EEG data acquisition are provided. A Butterworth filter was used to eliminate noise from the EEG signals, with results visualized using the Fast Fourier Transform (FFT). Quantitative EEG (qEEG) analysis was conducted using the Power Spectral Density (PSD) method. The highest PSD values were 428.04 μV2/Hz at 5.9 Hz on channel C4 for subject 1,329.77 μV2/Hz at 5.9 Hz on channel C4 for subject 2, and 385.65 μ V2/Hz at 5.9 Hz on channel Fp1 for subject 3, all indicating increased brain activity in the theta wave range. This study provides insights for researchers and practitioners using the Cyton board for EEG data acquisition and contributes to developing portable, affordable EEG methods. © 2024 IEEE.

关键词： Butterworth filters

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Asynchronous Data Communication Architecture on Real-Time Face Recognition for Hybrid Laboratory System 17

Asynchronous Data Communication Architecture on Real-Time Fa...

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17th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2023

作者： Lestari, Nina Purnama, Trisna Risnanto, Slamet Fitriadi, Budi Yusuf, Ach Maulana Habibi Prihatmanto, Ary Setijadi Institut Teknologi Bandung Doctoral Program of School of Electrical Engineering and Informatics Bandung Indonesia Universitas Sangga Buana Faculty of Engineering Electrical Engineering Department Bandung Indonesia Universitas Sangga Buana Faculty of Engineering Bandung Indonesia Universitas Komputer Indonesia Bandung Indonesia Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350309164

The Internet of Things (IoT) and Artificial Intelligence (AI) have reshaped educational technology, increasing the chances of developing more effective and engaging learning environments. This study proposes an architecture for asynchronous data communication with real-Time face recognition, a virtual and remote labs confluence. The architecture uses IoT hardware and software to comprise critical components such as IoT cameras, message brokers, FTP servers, and AI processing servers. The aim is to optimize resource usage and maximize response time efficiency. The architecture employs message queuing to manage high volumes of face image data, facilitating immediate verification and rapid access. Our findings demonstrate that the system can achieve face recognition with 91.7% accuracy and an average system communication latency of 2.631 seconds, effectively leveraging asynchronous communication to optimize resource usage and computational efficiency. The research comprehensively measures the data communication metrics and face recognition metrics. It also explains how asynchronous data communication can be strategically deployed in a hybrid lab environment to enhance educational and operational efficacy. © 2023 IEEE.

关键词： Computational efficiency

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Sensing the world: Challenges on WSNs

Sensing the world: Challenges on WSNs

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IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR

作者： Valter Rocha Gil Goncalves PRODEI-Doctoral Program in Informatics Engineering Faculty of Engineering University of Porta Portugal Informatics Engineering Department Faculty of Engineering University of Porta Portugal

Wireless sensor network (WSNs) is a demanding multidisciplinary field that has been target of research in the last decade. The increasing demand for security and automated monitoring of things and places makes WSNs a promising technology although there are still many open research contributions needed to make this the standard of environmental sensing. The goal of this article is to identify the research challenges on WSNs by dividing them into functional groups, building on previous work. We followed a structured approach based on a simplified yet complete vision of a design space for WSNs. Moreover, this work aims to identify research gaps and investigation fields yet unexplored or hardly explored by researchers in order to plot paths for future research. Several challenges and research areas were identified, like Models for Sensor Networks, Benchmarking Methodologies, Distributed Processing, Interface WSNs and Network Reprogramming. Some of these challenges will become even clearer as increasingly WSNs become Wireless Sensor and Actuator Networks (WSANs).

关键词： Wireless sensor networks Monitoring Network topology Protocols Peer to peer computing Routing Temperature sensors

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Research on Performance of Terrain Matching Algorithm for Underwater Autonomous Vehicle Based on Particle Filter

Research on Performance of Terrain Matching Algorithm for Un...

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2019年第五届机械工程及自动化科技国际会议

作者： ShenJian Xiong Lu Ba Ning Post-doctoral program on control science and engineering Naval University of Engineering Department of Radar system OrdnanceNCO Academy of Army engineering university

AUV is a powerful tool for exploration and development of marine resources. Underwater terrain matching navigation is an emerging passive autonomous navigation method, which improves the long-term and high-precision navigation capability of AUV. The underwater terrain matching algorithm based on particle filter(PF) use a large number of particle sampling to approximate the system state, which can avoid the Taylor expansion truncation error caused by the terrain linearization method, and has good matching precision and terrain adaptability. However, due to the strong nonlinearity and the uneven distribution of the underwater terrain features, it is difficult to achieve the full-range terrain matching optimize with a single configuration parameter of PF underwater terrain matching algorithm. For this reason, this paper has comprehensively studied the PF terrain matching algorithm(referred to as PF matching algorithm). The principle, accuracy and implementation steps of PF algorithm are analyzed. With the UKF algorithm as a reference, the advantages and disadvantages of PF-based algorithm are studied through computer simulation of terrain matching navigation. The matching precision and terrain adaptability of PF-based algorithm has been tested. From the simulation results, it is concluded that the particle diversity decline is one of the main factors affecting the matching performance, which provides a basis for algorithm performance improvement and engineering adaptability improvement.

关键词： Gaussian AUV MSE UKF Research on Performance of Terrain Matching Algorithm for Underwater Autonomous Vehicle Based on Particle Filter

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An authenticated anonymous group key management with only one rekey message

An authenticated anonymous group key management with only on...

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5th IASTED European Conference on Internet and Multimedia Systems and Applications, EuroIMSA 2009

作者： Wuu, Lih-Chyau Hung, Chi-Hsiang Department of Computer Science and Information Engineering National Yunlin University of Science and Technology 123 University Road Touliu Yunlin Taiwan Graduate School of Engineering Science and Technology Doctoral Program National Yunlin University of Science and Technology 123 University Road Touliu Yunlin Taiwan

ISBN: (纸本)9780889868021

In Internet, IP multicast has been used successfully to provide an efficient, best-effort delivery service for group communication applications. However, applications such as multiparty private conference, distribution of stock market information, pay per view and other subscriber services require secure multicast to protect integrity and confidentiality of the group traffic, and validate group member's authenticity. Providing secure multicast for group communication is problematic without a robust group key management. In this paper, we propose an anonymous group key management with ID-based Signature and secret sharing technologies to distribute a new group key securely to each participant of a group with only one rekey message whenever the group membership changes. The key management guarantees that a legal user, without revealing his/her real identity, can join a group after finishing the mutual authentication with the group initiator, and enforces the forward secrecy and backward secrecy.

关键词： Multicasting

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Modifying the Revised NIOSH Lifting Equation using Anthropometric Variables to Calculate Horizontal and Vertical Multipliers 4

Modifying the Revised NIOSH Lifting Equation using Anthropom...

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4th International Conference on Cybernetics and Intelligent System, ICORIS 2022

作者： Rochmat, Moehamad Adi Madenda, Sarifuddin Handhika, Tri Ernastuti, Ernastuti Gunadarma University Department of Industrial Engineering Depok Indonesia Gunadarma University Doctoral Program in Information Technology Depok Indonesia Gunadarma University Centre for Computational Mathematics Studies Depok Indonesia Gunadarma University Faculty of Industrial Technology Depok Indonesia

ISBN: (纸本)9781665453950

The Revised NIOSH Lifting Equation is a work system assessment tool which often used in industrial world. The calculation result in the form of Recommended Weight Limit (RWL) and the Lifting Index (LI) become the basis for improving the work system carried out. RNLE is an application developed by NIOSH and uses American anthropometry as a constant in its calculations. Some researchers, especially in Asia, consider that the application is less suitable for Asia people who have anthropometric differences with Americans. The assessment carried out by the RNLE application is based on work activities carried out without considering the worker's body posture. In particular, the calculate of HM and VM in this application uses a constant related to anthropometry. RNLE uses the constants based on the average anthropometry of workers in calculation. The constant anthropometry used in the equation led to the results of the risk calculation that does not correspond to physical aspects of workers. It takes an equation that consider anthropometry workers to get the calculation of the value of the appropriate work risk. The study aims to propose equations that consider anthropometry factors to calculate the risk factor. The development of the equation with Python programming language allows further development in the field of information and communication technology. The results of the study shows that the average results of the RWL and LI calculation uses anthropometry data not equal to the RNLE, thus required new equation in order to resulting more objective risk value. © 2022 IEEE.

关键词： Anthropometry

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Support from Governance, Leadership and Smart People in the context of Smart Cities Development

Support from Governance, Leadership and Smart People in the ...

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engineering, Technology and Innovation (ICE/ITMC), IEEE International Conference on & Management of Technology (IAMOT) Joint Conference, International Association For

作者： Marcia Sierdovski Luiz Alberto Pilatti Priscila Rubbo Rosmeiri Apra Ribeiro Ferras Juliana Vitória M. Bittencourt Regina N. Pagani Doctoral candidate of Postgraduate Program in Production Engineering Federal Technological University of Paraná Ponta Grossa Brasil Postgraduate Program in Production Engineering Federal Technological University of Paraná Ponta Grossa Brasil

ISBN: (纸本)9781665488181

The context of smart cities has been increasingly recurrent in world literature. The present study aims to analyze the contributions of leadership, governance, and people to the development of smart cities. To achieve this objective, the methodology Methodi Ordinatio was used, and data was collected from Scopus, Science Direct, and Web of Science using the following keywords combinations: smart cities, smart governance, smart leadership, and smart people. The results of the analysis reveal the importance of people acting with intelligent practices, as well as the need to encourage leadership and governance strategies. If there is a link between these three pillars, with the intention of sustainable development aimed at the common good, the chances of institutionalizing smart cities are greater. The study's conclusions point to the need for interconnection between individuals, leaders, and governments for a city to develop intelligently, therefore, having identified the absence of a concept that encompasses the three dimensions, this article contributes to an expanded conceptualization of smart cities.

关键词： Leadership Technological innovation Smart cities Aggregates Bibliometrics Government Drives

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A fault-tolerant evolvable face identification chip 6

A fault-tolerant evolvable face identification chip

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6th International Conference on Neural Information Processing, ICONIP 1999

作者： Yasunaga, Moritoshi Nakamura, Taro Yoshihara, Ikuo Institute of Information Sciences and Electronics University of Tsukuba Tsukuba Ibaraki305-8573 Japan Doctoral Program of Engineering University of Tsukuba Tsukuba Ibaraki305-8573 Japan Cooperative Research Center Miyazaki University Miyazaki889-2192 Japan

ISBN: (纸本)0780358716

We have developed a new design methodology for face identification chips using a genetic algorithm. In the design, face images are transformed to truth-tables and they are evolved to obtain generalization ability. Digital circuits are synthesized by using the evolved truth-tables. Parallelism in the data can be embedded in the circuits by this direct hardware implementation of the face images. A face identification chip prototype has been developed by synthesizing the evolved truth tables to logic circuits. The circuit size of the chip was 1334 gates for one person on average, and this was small enough to be implemented onto a standard FPGA (field programmable gate array) chip. The chip identified a face image at 400 ns and achieved an identification accuracy of 97.2% in average. Furthermore, a high identification accuracy of more than 90% was maintained even under 18% faulty gate ratio and this high fault tolerance degraded gracefully as the faulty gate ratio increased. © 1999 IEEE.

关键词： Genetic algorithms

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Using Entropy for Modeling Difficulty in the Asteroid Escape Sliding Puzzle

Using Entropy for Modeling Difficulty in the Asteroid Escape...

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CHILEAN Conference on Electrical, Electronics engineering, Information and Communication Technologies (CHILECON)

作者： Jose A. del Solar-Zavala Hans Schaa Nicolas A. Barriga Doctoral Program in Engineering Systems Universidad de Talca Curicó Chile Faculty of Engineering Universidad de Talca Talca Chile

Developing a standarized metric for difficulty that can be applied to a large number of puzzles is not trivial. This does not come as a surprise because of the subjective factors involved in defining difficulty. However, studies that address the design and application of metrics that can be applied to multiple games are still important, because they can still be used to increase the quality of content generated by automated agents. We take a look at applying information entropy concepts in the game Asteroid Escape and compare the results with other metrics to assess difficulty used in games of similar characteristics. This approach is largely based on future work proposal from a previous study done on The Witness puzzles that yielded positive results on using an automatic method to assess the difficulty of user rated puzzles. This study also includes a modification of BFS and A* capable of finding every shortest solution. From the implementation, it is possible to look at contradicting results with the literature, where basic metrics had a better result correlating with an official definition of difficulty from the game designers. The impact expected from this study is to propose an update to the the corpus of puzzle games where the uncertainty metric for difficulty has been applied. As having an accurate assessment of difficulty can open the doors to other studies, such as improving the quality of the output from procedural content generation methods in games or propose an automated method of difficulty adjustment based on this metric.

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Assessment of Factors Influencing Agricultural Transformation Process: Evidence from Midhills Region of Nepal

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Asia-Pacific Journal of Rural Development 2000年第1期10卷 1 - 25页

作者： Surendra B. Thapa Ganesh P. Shivakoti Doctoral student and Visiting Faculty Agricultural & Aquatic Systems and Engineering Program School of Environment Resources and Development Asian Institute of Technology Thailand respectively.

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