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2nd International Conference on Computer Science and engineering Technology, ICCSET 2019

作者： Triyanto, Wiwit Agus Study Program of Information System Engineering Faculty Muria Kudus University Indonesia

In carrying out their duties, lecturers must conduct Tri dharma education activities which include teaching, research and service according to their respective fields of science. Every tri dharma activity carried out must be reported once every semester in the form of a lecturer workload *** number of activities contained in the rubric makes many lecturers experience confusion to calculate how the credit performance in the Tridharma activities carried out. Therefore, it is necessary to have a simulation application that helps the calculation of credit performance of Tridharma activities in accordance with the BKD rubric. The lecturer workload simulation application can help lecturers to calculate credits for the Tridharma activities that have been carried out. The lecturer workload simulation application can also provide information on what physical evidence needs to be prepared by the lecturer. © Published under licence by IOP Publishing Ltd.

关键词： Android (operating system)

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Development and Validation of Customer Intention Factors for Live-Stream Shopping 7

Development and Validation of Customer Intention Factors for...

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7th International Conference on New Media Studies, CONMEDIA 2023

作者： Fernando, Erick Hidayat, Desman Pengaribuan, Christian Haposan Prabowo, Yulius Denny Universitas Multimedia Nusantara Faculty of Engineering and Informatics Department of Information System Tangerang Indonesia Bina Nusantara University Binus Entrepreneurship Center Management Department Jakarta11480 Indonesia Sampoerna University Management Study Program Faculty of Business Jakarta12780 Indonesia Bina Nusantara University Binus Online Learning Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350307504

Along with technological improvements, online shopping is currently developing quickly. Online shops started by selling electronics, clothing, food, and home appliances and continue to evolve, selling various things. Currently, digital marketing has a novel technique, namely live shopping, where sellers can present, promote and offer their products directly through live streaming on social media and e-commerce platforms. This research will focus on gaining insight into the factors influencing customers to watch and purchase through live streaming. This research is an early-stage study of exploring and searching for research models. The study used a literature review approach by reviewing similar previous research articles. Several variable components were used in this study. The findings of the factors include visibility capacity, meta-vocation capacity, purchase orientation capacity, social presence, price, perceived product quality, perceived enjoyment, purchase orientation, perceived usefulness, and intention to buy. These factors were tested and proved to be valid with Cronbach's Alpha value being more than 0.5 and reliable with the value of the loading factor a greater than 0.6. Criteria The factors of the findings for further analysis of the relationship between factors and other variables. © 2023 IEEE.

关键词： Domestic appliances

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Introducing a Novel Hybrid Agent-Based Framework for Simulating the Adoption of Residential Water Conservation Behaviors

Introducing a Novel Hybrid Agent-Based Framework for Simulat...

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World Environmental and Water Resources Congress 2023: Adaptive Planning and Design in an Age of Risk and Uncertainty

作者： Shahangian, Seyyed Ahmadreza Tabesh, Massoud Yazdanpanah, Masoud Akbarzadeh, Abbas Raoof, Mohammad Amin Zobeidi, Tahereh Hajibabaei, Mohsen Sitzenfrei, Robert School of Civil Engineering College of Engineering Univ. of Tehran Tehran Iran Water and Wastewater Research Center Water Research Institute Tehran Iran Dept. of Agricultural Extension and Education Agricultural Sciences and Natural Resources Univ. of Khuzestan Mollasani Iran Dept. of Family Youth and Community Sciences Univ. of Florida GainesvilleFL United States Dept. of Civil Engineering Sharif Univ. of Technology Tehran Iran Advancing System Analysis Program International Institute for Applied Systems Analysis Laxenburg Austria Unit of Environmental Engineering Dept. of Infrastructure Engineering Univ. of Innsbruck Innsbruck Austria

ISBN: (数字)9780784484852

ISBN: (纸本)9780784484852

Promoting household adoption of water conservation behaviors (WCBs) has emerged as a vital strategic response to address water scarcity. Nevertheless, it is imperative to recognize that acceptance of residential WCBs relies on households' voluntary engagement, as are interventions designed to encourage households to become involved in such actions. Meanwhile, environmental psychology plays a key role in understanding individuals' WCBs and exploring the psychosocial determinants underlying these behaviors. Furthermore, the spread of technology and behavior among a population are known as a complex adaptive system (CAS), and agent-based modeling (ABM) offers a comprehensive and practical approach to studying CASs. Hence, the main aim of the present research is to introduce a novel, hybrid agent-based framework for simulating the adoption of residential WCBs, in which an extended model of the theory of planned behavior acts as household agents' behavioral rule for adopting water-efficiency behaviors (WEBs). The framework is also grounded in various theories rooted in psychological and social sciences. Moreover, the presented framework integrates ABM and structural equation modeling approaches. Although this study mainly focuses on WEBs, the framework includes a mechanism to update agents' water use based on their adoption level of water curtailment behaviors. Thus, the presented framework allows for simultaneously but separately exploring the preferred level of both types of WCBs among household agents. Finally, total water consumption is systematically calculated based on agents' aggregated behavior. © World Environmental and Water Resources Congress *** rights reserved

关键词： Water conservation

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Adversarially Robust Reinforcement Learning for Urban Traffic Signal Control

Adversarially Robust Reinforcement Learning for Urban Traffi...

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International Conference on Technology, Informatics, Management, engineering, and Environment (TIME-E)

作者： Muhammad Shafly Hamzah Endra Joelianto Herman Yoseph Sutarto Adiyana Putri Instrumentation and Control Master Program Institut Teknologi Bandung Bandung Indonesia Instrumentation Control and Automation Research Group Institut Teknologi Bandung Bandung Indonesia Department of Intelligent System PT. Pusat Riset Energi Bandung Indonesia Doctoral Program of Engineering Physics Institut Teknologi Bandung Bandung Indonesia

ISBN: (数字)9798350364750

ISBN: (纸本)9798350364767

Urban traffic congestion presents critical challenges, resulting in delays, environmental pollution, and significant economic costs. While traditional traffic control methods, such as fixed-time and adaptive systems, have been widely implemented, they often fail in unpredictable conditions, particularly when confronted with noisy or inaccurate data. This research proposes a robust reinforcement learning (RL) solution for traffic signal control using the RADIAL-DQN (Robust Adversarial Loss DQN) algorithm. Integrating adversarial training enhances the system's robustness to real-world uncertainties. Evaluations conducted using a SUMO traffic simulation show that the robust agent produced an increase of only 60.71% in queue length under a projected gradient descent (PGD) adversarial attack, outperforming standard RL agents, which experienced an 89% increase. These results demonstrate the potential of robust RL to improve both the reliability and scalability of urban traffic control systems.

关键词： Training Adaptive systems Uncertainty Scalability Urban areas Traffic control Robustness Standards Traffic congestion Testing

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A Storage and Transmission Joint Planning Method for Centralized Wind Power Transmission

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Computers, Materials & Continua 2021年第7期68卷 1081-1097页

作者： Xiuyu Yang Qi Guo Jianzhong Gui Renyong Chai Xueyuan Liu Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University) Jilin132012China Electrical Engineering-PHD program at the University of Idaho Idaho83843America State Grid Jiangxi Power Supply Company Xinyu338025China

Centralized delivery has become the main operation mode under the scaled development of wind *** channels are usually the guarantee of out-delivered wind power for large-scale wind *** configuration of transmission capacity,which has the features of low utilization and poor economy,is hardly matching correctly due to the volatility and low energy density of *** usage of energy storage can mitigate wind power fluctuations and reduce the requirement of out-delivery transmission capacity,but facing the issue of energy storage cost ***,it is necessary to optimize the allocation of energy storage while considering the problem of wind power *** paper studies the joint optimization of large-scale wind power transmission capacity and energy storage,reveals the mechanism of energy storage in order to reduce the power fluctuation of wind power base and slow down the demand of ***,analyze the multi-functional cost-sharing mode of energy storage,improve the efficiency of energy storage cost *** the coordination optimization configuration model to deal with the problem of large-scale wind power transmission capacity and energy storage,and realizes the transmission capacity optimization coordination and optimization with energy *** proposed method is verified by a wind base located in Northeast China.

关键词： Wind farm group energy storage configuration transmission capacity coordination and optimization

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Design and free play analysis for a control mechanism of an insect-type fwmav

Design and free play analysis for a control mechanism of an ...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021

作者： Choi, Jaewon Gong, Duhyun Yoon, Namkyung Shin, Sangjoon Interdisciplinary Program in Space System Seoul National University Seoul08826 Korea Republic of School of Mechanical and Aerospace Engineering Seoul National University Seoul08826 Korea Republic of

ISBN: (纸本)9781624106095

Unlike birds, insect type flapping wing mechanism does not have tail wings. Therefore, its fuselage attitude is adjusted by either varying direction of the stroke plane or twisting the trailing edge. In this paper, design and simulation of a control mechanism are to be presented. The control mechanism produces 3-axis moments by trailing edge control (TEC). TEC generates control moments by twisting a rod connected to the root of the main wings. For proper operation of TEC, kinematic analysis is conducted to determine its appropriate linkage length and the location of the mounted components. In addition, free play phenomenon caused by the backlash, which causes degradation in control ability, is also considered. Also, the wing shaft displacement caused by the free play is considerably decreased. To observe the control moments caused by the TEC, simulation is conducted by DYMORE software. The physical and aerodynamic phenomena caused by TEC are observed. Therefore, the prototype of the current mechanism is fabricated based on the analysis results. In the future, experiments for the proposed control mechanism will be conducted. Then, the control moment generated by the prototype will be evaluated and physical phenomena caused by the control moment will be observed. Also, a PID controller will be designed for stable flight based on numerical simulation results. © 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Wings

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Modeling and analysis of the transmission of avian spirochetosis with non-singular and non-local kernel

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Computer Methods in Biomechanics and Biomedical engineering 2024年第7期27卷 905-917页

作者： Tang, Tao-Qian Rehman, Ziad Ur Shah, Zahir Jan, Rashid Vrinceanu, Narcisa Racheriu, Mihaela International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu Taiwan Department of Internal Medicine E-Da Hospital Kaohsiung Taiwan School of Medicine College of Medicine I-Shou University Kaohsiung Taiwan Department of Family and Community Medicine E-Da Hospital Kaohsiung Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu Taiwan Department of Mathematics University of Swabi Swabi Pakistan Department of Mathematical Sciences University of Lakki Marwat Khyber Pakhtunkhwa Lakki Marwat Pakistan Faculty of Engineering Department of Industrial Machines and Equipments ‘Lucian Blaga’ University of Sibiu Sibiu Romania Medicine Faculty ‘Lucian Blaga’ University of Sibiu Sibiu Romania Cty Clin Emergency Hosp Sibiu Romania

An acute bacterial infection called avian spirochetosis is spread by ticks to a variety of birds. Clinical symptoms can vary greatly and are frequently non-specific. To diagnose a condition, the infectious spirochete must be detected. Here, we structure an epidemic model for the transmission of avian spirochetosis to visualize the interaction between tick and bird populations. The recommended dynamics of avian spirochetosis is illustrated with the help of fractional framework. We inspected the steady-states of the system of the avian spirochetosis for the stability analysis. The next-generation technique is used to evaluate the model’s reproduction parameter (Formula presented.) The infection-free and endemic steady-state of avian spirochetosis were shown to be locally asymptotically stable under the specified conditions. Through mathematical skills, the positivity of solutions is determined. Additionally, evidence supporting the existence and uniqueness of the avian spirochetosis framework solution has been shown. We conduct modified simulations of the suggested avian spirochetosis system with different input factors to study the complex phenomena of avian spirochetosis under the effect of numerous input parameters. Our outcomes illustrate the significance and plausibility of fractional parameter, and they also suggest that this input parameter may adequately account for these kinds of observations. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Transmissions

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A Hybrid Approach with BRKGA and Data Mining for the Early/Tardy Scheduling Problem

A Hybrid Approach with BRKGA and Data Mining for the Early/T...

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Congress on Evolutionary Computation

作者： Israel Mendonça Tirana Noor Fatyanosa Masayoshi Aritsugi Pedro Henrique González Silva Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan Faculty of Computer Science Brawijaya University Malang Indonesia System Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (数字)9798350308365

ISBN: (纸本)9798350308372

This paper introduces a novel hybrid genetic algorithm combined with data mining to solve a version of the early/tardy scheduling problem in which no unforced idle time may be inserted in a sequence. The chromosome representation of the problem is based on random keys and we use the Biased Random-Key Genetic Algorithm (BRKGA) to establish an order in which jobs are scheduled. A data mining component gathers data from the evolutionary steps of BRKGA and suggests chromosomes based on past observations. In this way, we address a key challenge in BRKGA - the exploration of solutions near an individual gene - by leveraging data-driven insights to refine and enhance the search space. Comparative analysis reveals that our hybrid algorithm significantly benefits from the pattern recognition capabilities of data mining, leading to improved scheduled efficiency. The results of a series of computational experiments underscore the potential of this hybrid approach that, although requiring slightly longer computational times, is better than the previous baseline BRKGA algorithm in terms of solution quality.

关键词： Processor scheduling Evolutionary computation Scheduling Data mining Biological cells Genetic algorithms

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Reducing Errors and Powers in Lpddr for Dnn Inference: A Compression and Iecc-Based Approach

SSRN

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SSRN 2025年

作者： Hong, Jae-Youn Jang, Je-Woo Cho, Sung-Hyuk Kong, Youngbae Kim, Sungkyu Kang, Youngjung Ko, Jaehyung Chung, Jaeyong Yang, Joon-Sung Department of Electrical and Electronic Engineering Yonsei University Seoul Korea Republic of Memory Division Samsung Electronics Hwaseong Korea Republic of Department of System Semiconductor Engineering Yonsei University Seoul Korea Republic of BK21 Graduate Program in Intelligent Semiconductor Technology Yonsei University Seoul Korea Republic of

In modern edge systems, the demand for data processing for complex DNN tasks, is rapidly increasing. To address this, various compression schemes have been proposed to enable on-device AI while meeting the strictpower and storage constraints. However, despite these advancements, the compatibility of the compression methods with edge device memory(LPDDR), has not been thoroughly investigated. LPDDR operates at low voltage and faces reliability challenges, which is particularly concerning for applications where accuracy is critical, such as ADAS or medical devices. To address these concerns, ECC engine, known as IECC, is employed within each LPDDR bank. While IECC improves reliability, it also incurs performance penalties due to Read-Modify-Write(RMW) operations and parity storage overheads. This paper introduces RELIA, a DNN weight compression scheme with three-stage protection, aimed at enabling power-efficient and reliable DNN operations in mobile environments. RELIA reduces the operation granularity of the IECC engine from SEC(136,128) to SEC(72,64), eliminating RMW overhead. Additionally, it proposes SEC-FOEC(72,64) scheme that can correct 99.97% of LPDDR errors. To mitigate the added storage overhead, compression scheme based on DNN weight characteristics is introduced. Experimental results show RELIA reduces power, cycle, energy, and storage by 17.35%, 13.2%, 32.7%, and 23.6%, respectively, while offering superior reliability. © 2025, The Authors. All rights reserved.

关键词： Biomedical equipment

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Analyzing the Behavioral Aspects of Implementing Green IT in an Academic Environment 8

Analyzing the Behavioral Aspects of Implementing Green IT in...

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8th International Conference on Information Management and Technology, ICIMTech 2023

作者： Syamsuar, Dedy Triando, Fero Ulfa, Maria Antoni, Darius Mailangkay, Adele Witarsyah, Deden School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Universitas Bina Darma Postgradute Department Palembang Indonesia Universitas Bina Darma Information System Study Program Computer Science Faculty Palembang Indonesia Universitas Indo Global Mandiri Faculty of Computer Science Palembang Indonesia School of Industrial Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9798350326093

Environmental awareness has recently emerged as one of the most crucial topics. As a result, various groups advocate for these technologies and research ways to promote their usage in various contexts. This study examines the factors influencing the intention and use of green technology among academics. This study integrates Price Value (PV) and Consideration of future consequence (CFC) to Theory Planned Behavior (TPB) as a theoretical basis. Two hundred five valid replies were gathered and processed through statistical analysis. The results of this study partly support the developed hypotheses. Four hypotheses developed from TPB have presented significant relationships. However, PV and CFC were not. The findings indicate that individuals in this study did not consider CFC or PV of green IT products as critical factors in their decision-making process. Findings also suggest that for implementation success, competent parties must consider the campaign to increase individual awareness and provide financial support regarding environmental policy. © 2023 IEEE.

关键词： Decision making

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