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2021 The 9th International Conference on Information Technology: IoT and Smart City

作者： Wahyu Sardjono Erma Lusia Hargo Utomo Samudra Sukardi Aninda Rahmasari Yuri Delano Regent Montororing Information Systems Management Department BINUS Graduate Program BINA NUSANTARA University Indonesia Research Capacity Building Research & Development BINA NUSANTARA University Indonesia Department of Management Faculty of Economic and Business Gajahmada University Indonesia Graduate Program Faculty of Economy and Business University of Indonesia Indonesia International Relations Department Faculty of Humanities BINA NUSANTARA University Indonesia Industrial Engineering Study Program Bhayangkara University Indonesia

ISBN: (纸本)9781450384971

Complaint resolution that arise due to internal and external factors in a company can be monitored through the Service Recovery Index (SRI), and SRI is developed through a number of factors that influence it. Meanwhile, the SRI model needs to be developed to see the business sustainability through implementation knowledge management system in the organization. The data collection method was carried out, starting with building a research instrument based on knowledge management theory and continued with observation and distributing questionnaires to respondents who were involved in the business process of managing SRI. The data analysis method was used to process the data from the questionnaire, factor analysis method was used and the method to build the model used was the regression analysis method. The results obtained from this study are the discovery of 4 (four) factors with a number of indicators that are grouped on each formed factor, which can then be made and built a readiness model that reflects current conditions, so that it can be used to build predictions in the future related to readiness. implementation of knowledge management system development in order to support increased understanding of the service recovery index in the organization.

关键词： sustainability knowledge management service recovery index business factor analysis

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Automating Clinical Simulations

SSRN

引用

SSRN 2022年

作者： Gershov, Sapir Braunold, Daniel Spector, Robert Ioscovich, Alexander Raz, Aeyal Laufer, Shlomi Technion Autonomous Systems Program Technion - Israel Institute of Technology Haifa Israel Rambam Health Care Campus Haifa Israel Faculty of Industrial Engineering & Management Technion - Israel Institute of Technology Haifa Israel Shaare Zedek Medical Center Jerusalem Israel

Medical Simulations are an assembly of techniques that can evaluate medical practitioners’ hands-on skills in addition to their theoretical knowledge. Commonly, the assessment is based on a task-specific checklist and it requires the presence of an experienced examiner to provide performance *** makes the assessment process inefficient, expensive, and prone to human error. In addition, the current approach is incapable of providing medical practitioners with the opportunity for independent ***, the process of filling the checklist should be done by a machine: an objective system capable of recognizing, monitoring, and documenting the resident’s performance. This will minimize the costs of performance assessments and allow more residents to train on their own in a complex *** this work, we present an end-to-end fully automatic objective checklist validation framework. The system records, processes, and analyzes the medical personnel uttered speech, which holds evidence of the executed actions, and automatically fills the appropriate rubrics in the *** found that our approach to activity recognition performed better than the on-line expert physician. Our methodology achieved F1-score of 0.869 on verbal tasks and ICC score of 0.822 with an off-line examiner. In addition, the framework was able to identify physicians' and nurses' medical errors associated with communication *** audio-based system can be implemented in the emergency room and operation room and could facilitate the development of automatic assistive technologies for a wide range of medical domains. © 2022, The Authors. All rights reserved.

关键词： Machine learning

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Hardware-in-the-Loop Simulation Testbed for Three-Axis Earth's Magnetic Field Generation Based on 2.4- Meter Square Helmholtz Coils

Hardware-in-the-Loop Simulation Testbed for Three-Axis Earth...

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IEEE Symposium on Position Location and Navigation (PLANS)

作者： Jormpon Chaisakulsurin Shariff Manuthasna Tanawish Masri Thanayuth Panyalert Kritsada Palee Pakawat Prasit Patcharin Kamsing Peerapong Torteeka Thai Space Consortium Project National Astronomical Research Institute of Thailand (Public Organization) Chiang-Mai Thailand Center of Observatory Operation and Engineering National Astronomical Research Institute of Thailand (Public Organization) Chiang-Mai Thailand Faculty of Engineering Program in Robotics and Computational Intelligence Systems International Academy of Aviation Industry King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Department of Aeronautical Engineering Air-Space Control Optimization and Management Laboratory International Academy of Aviation Industry King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

This paper proposes a Hardware-in-the-Loop sim-ulation (HiLs) tested via square Helmholtz coils as a relative magnetic field generator. In technical terms, the HiLs is an indispensable tool for engineering design during rapid proto-typing of attitude determination and control algorithms for the turning parameters that control the attitude of the satellite, since most of the satellite's mission relies on its attitude, making this system one of the most essential to the satellite's operation. More-over, performing controlled experiments with the parameters for developing adaptive control algorithms improves the overall efficiency of the satellite's kinematic system. The conceptual design of a proposed system architecture can be composed of the electrical currents of 2.4-meter square Helmholtz coils produced by a low-level microcontroller equipped with a DC-motor driver by a pulse-width modulation (PWM) signal through real-time connection to an orbit propagator using a high-level computer. This research focuses on the attitude dynamic of satellites through the interaction between the Earth's magnetic field (EMF) and the magnetotorque in the satellite. To apply this phenomenon, the intensity and the direction of the magnetic field must be identified through Biot-Savart's law. Along with the EMF, the reference position is calculated using the standard general perturbations satellite orbit model (SGP4), and the intensity is modeled based on coefficients from the 13 th edition of the International Geo-magnetic Reference Field (IGRF). Therefore, this paper presents a detailed development of a HiLs testbed for distributed attitude determination and control systems (hardware and software co-design, protocol, and control theory). Furthermore, it discusses a classic cooperative control case for the output of magnetic field intensity and direction, which was undertaken to explain the integrated simulation process and validate the effectiveness of the co-simulation tested to be

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A Genetic Algorithm to Optimize Cargo Stability in Container Transportation

A Genetic Algorithm to Optimize Cargo Stability in Container...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Chi-Jung Hsieh Kuang-Sung Wu Tin-Yu Wu Fu Jie Tey Yi-Kai Chen Jye Yi Ho Department of Computer Science and Information Engineering National Ilan University Ilan County Taiwan Master Program of E-Learning for Multimedia and Network Communications National Ilan University Yilan Taiwan Department of Management Information Systems National Pingtung University of Science and Technology Pingtung County Taiwan Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (纸本)9781665492331

In the era of the global village, frequent cross-border trade in goods has made container transportation a significant part in delivery of cargo. However, rollover accidents of container trucks often occur because of tall truck height, improper cargo stowage or crooked roads. Therefore, how to find the optimal center of gravity (CG) of the packed cargo remains an issue that the transportation industry should not neglect. To optimize cargo stability and reduce the incidence of rollovers, this paper proposes a genetic algorithm that scores the cargo stacking process to find the best CG of the cargo based on the CG of the vehicle. According to the deviation angle and the point closest to the best CG, we can Figure out the optimal cargo stacking method.

关键词： Rollover Transportation industry Roads Stacking Transportation Containers Safety

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Using LSTM and Regression Analysis for Railway Passenger Traffic Volume Prediction

Using LSTM and Regression Analysis for Railway Passenger Tra...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Fu Jie Tey Chih-Chi Tuan Cheng-En Cai Ming-Xuan Wu Yun-Sheng Wu Tin-Yu Wu Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Master Program of E-Learning for Multimedia and Network Communications National Ilan University Yilan Taiwan Department of Management Information Systems National Pingtung University of Science and Technology Pingtung County Taiwan

ISBN: (纸本)9781665492331

The purpose of this paper is to investigate the factors affecting the passenger traffic volume on the high-capacity MRT, to analyze the traffic volume trends, and to make traffic volume predictions more accurately. This paper uses the LSTM (Long Short-term Memory) model and regression analysis for Taipei MRT passenger traffic volume prediction. The training data, including dates, temperatures and number of passengers, were collected, and a regression analysis was performed to find trends in the data.

关键词： Temperature distribution Solid modeling Government Transportation Training data Predictive models Market research

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Possible pathways for low carbon transitions: Investigating the efforts of oil companies in CCUS technologies

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Energy Strategy Reviews 2024年 54卷

作者： Truong, Thanh Hue Lin, Bou-Wen Lo, Ching-Hua Tung, Ching-Pin Chao, Chia-Wei International Degree Program in Climate Change and Sustainable Development National Taiwan University Taipei106216 Taiwan Graduate Institute of Business Administration College of Management National Taiwan University Taipei106216 Taiwan Department of Geosciences National Taiwan University Taipei106214 Taiwan Research Center for Future Earth National Taiwan University Taipei106214 Taiwan National Applied Research Laboratories Taipei106214 Taiwan Department of Bioenvironmental Systems Engineering National Taiwan University Taipei106216 Taiwan

Oil and gas industries within the energy sector are a significant contributor to carbon dioxide (CO2) emissions, a primary driver of climate change and global warming. However, research on their efforts to combat this issue remains limited. This study investigates climate initiatives by five major oil companies, emphasizing carbon capture, utilization, and storage (CCUS). Analyzing 98,730 patents from 2000 to 2022, the results show that they collectively registered 871 CCUS-related patents. ExxonMobil leads with 359, followed by Shell, though 70 % of its patents are inactive. The primary technical fields of these five companies include technologies developed to capture and dispose of CO2, and to utilize a bio-feedstock approach in the oil refining and petrochemical industry. Our findings reveal that all five companies have strategically integrated CCUS into their business operations, forming partnerships with third-party emitters as partners and customers, and implementing efforts to lower the carbon burden of existing assets. These findings are expected to help with strategic decision-making, guiding targeted investments, and paving the way for future research and development endeavors in the rapidly evolving CCUS domain. © 2024 The Authors

关键词： Carbon dioxide

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Innovative Solutions in Breath Alcohol Measurement for Improving Road Safety

Innovative Solutions in Breath Alcohol Measurement for Impro...

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Cybernetics and Innovations (ICCI), International Conference on

作者： Patiyuth Pramkeaw Pimyada Suksomboon Warit Leangruttananon Thittaporn Ganokratanaa Davids Makararpong Narumol Chumuang Worawut Yimyam Chayawee Angsusingha Adil Farooq Mahasak Ketcham Media Technology Program King Mongkut's University of Technology Thonburi Bangkok Thailand Faculty of Science King Mongkut's University of Technology Thonburi Bangkok Thailand Thailand Business school The University of the Thai Chamber of Commerce Bangkok Thailand Digital Media Technology Muban Chombueng Rajabhat University Ratchaburi Thailand Business Information Management Phetchaburi Rajabhat University Phetchaburi Thailand The national broadcasting and Telecommunications Commission Bangkok Thailand Department of Electronic Engineering Maynooth University Ireland Management of Information Systems King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331533267

ISBN: (纸本)9798331533274

This research presents the development and evaluation of a breath alcohol measurement device utilizing the MQ-3 alcohol sensor and an Arduino Nano-based control system. The primary objective was to design an accurate and reliable system for detecting breath alcohol concentration, with real-time feedback provided through an OLED display and an active buzzer for alerts. The device operates by measuring the alcohol concentration in the breath and converting the sensor data into parts per million (ppm). When the alcohol concentration exceeds the predefined threshold of 5% ABV, the system activates an audible alarm via the buzzer and displays the corresponding ppm value on the OLED screen. A series of tests were conducted with eight volunteers who consumed varying amounts of alcohol. The results demonstrated the system's high accuracy and responsiveness, with the ability to detect alcohol concentrations ranging from safe levels to dangerous thresholds. The device was tested multiple times to ensure consistency and minimize errors, with the final results confirming its effectiveness in providing reliable alcohol measurements. This system holds significant potential for applications in monitoring alcohol levels in drivers and individuals involved in safety-critical activities. The research underscores the importance of real-time alcohol detection systems in enhancing public safety and ensuring compliance with safety regulations.

关键词： Accuracy Measurement uncertainty Organic light emitting diodes Control systems Real-time systems Public security Nanoscale devices Monitoring Vehicles Testing

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Exploring ERP User Behaviour in Developing Countries: Integrating Self-efficacy and UTAUT Perspectives

Exploring ERP User Behaviour in Developing Countries: Integr...

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Advancement in Data Science, E-learning and Information systems (ICADEIS), International Conference on

作者： Dedy Syamsuar Muhammad Angga Oktaharisetia Deden Witarsyah Ahmad Luthfi Peter Dell Yudistira Sira Permana Darius Antoni Information Systems Department School of Information Systems Bina Nusantara University Indonesia Program Pasca Sarjana Universitas Bina Darma Palembang Indonesia School of Industrial Engineering Telkom University Bandung Indonesia Department of Informatics Faculty of Industrial Technology Islamic University of Indonesia School of Management and Marketing Faculty of Business and Law Curtin University Australia Teknik Informatika Politeknik Sekayu Sekayu Indonesia Faculty of Computer Science Universitas Indo Global Mandiri Palembang Indonesia

ERP stands for enterprise resource planning. It is an information system that is all rolled into one, is very flexible and adaptable, and optimizes business operations while also centralizing all of the company's data. This study aims to empirically investigate the elements that affect users' intention and usage of enterprise resource planning (ERP). This research incorporates self-efficacy into the unified theory of acceptance and use of technology (UTAUT2). A quantitative technique was taken, and as a result, 143 replies that might be used were effectively collected. After that, the information was put through a structural equation modelling partial least square (SEM-PLS) analysis. According to the findings of this research, self-efficacy appears to have a significant influence on all endogenous variables (EE, BI, and UB), as indicated by t-values of 3.951, 7.573, and 5.492, respectively. In addition, the analysis also indicated that PE (4.317), EE (2.397), and HM (3.084) are likewise statistically and substantively significant to BI. The result shows that the R2 for BI and UB indicate a moderate impact of 0.603 and 0.521, respectively. It is suggested that the model has valuable applications in academic and real-world contexts.

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Determining Factors Affecting Perceived Quality among Shoe Manufacturing Workers towards Shoe Quality: A Structural Equation Modeling Approach

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Journal of Open Innovation: Technology, Market, and Complexity 2022年第2期8卷

作者： Chuenyindee, Thanatorn Torres, Robimarl B. Prasetyo, Yogi Tri Nadlifatin, Reny Persada, Satria Fadil Department of Industrial Engineering and Aviation Management Navaminda Kasatriyadhiraj Royal Air Force Academy Bangkok 10220 Thailand School of Industrial Engineering and Engineering Management Mapúa University Manila 1002 Philippines School of Graduate Studies Mapúa University Manila 1002 Philippines Department of Information Systems Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya 60111 Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Malang 65154 Indonesia

The shoe industry has been continuously growing in recent years. The goal of this study was to identify factors affecting perceived shoe quality among shoe manufacturing workers. A sample of 350 shoe manufacturing workers participated in answering a survey that was distributed using a purposive sampling approach. Structural Equation Modeling (SEM) indicated that quality training was the most significant factor on perceived shoe quality, indicating that quality training should be prioritized and included in company programs to sustain quality products. Interestingly, perceived tooling/machinery conditions, teamwork and cooperation, the operator’s technical skills, and the operator’s quality mindset, also had significant effects on perceived shoe quality. This study is one of the first studies to explore perceived shoe quality among shoe manufacturing workers. The results may convey information for future research on perceived product quality, particularly for the shoe industry. Finally, our framework can be utilized for the enhancement of perceived product quality in shoe manufacturing industries worldwide. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

关键词： perceived quality shoe quality Structural Equation Modeling

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Grand challenges and emergent modes of convergence science

arXiv

引用

arXiv 2021年

作者： Petersen, Alexander M. Ahmed, Mohammed E. Pavlidis, Ioannis Department of Management of Complex Systems Ernest and Julio Gallo Management Program School of Engineering University of California MercedCA95343 United States Computational Physiology Laboratory University of Houston HoustonTX77204 United States

To address complex problems, scholars are increasingly faced with challenges of integrating diverse knowledge domains. We analyzed the evolution of this convergence paradigm in the broad ecosystem of brain science, which provides a real-time testbed for evaluating two modes of cross-domain integration - subject area exploration via expansive learning and cross-disciplinary collaboration among domain experts. We show that research involving both modes features a 16% citation premium relative to a mono-disciplinary baseline. Further comparison of research integrating neighboring versus distant research domains shows that the cross-disciplinary mode is essential for integrating across relatively large disciplinary distances. Yet we find research utilizing cross-domain subject area exploration alone - a convergence shortcut - to be growing in prevalence at roughly 3% per year, significantly faster than the alternative cross-disciplinary mode, despite being less effective at integrating domains and markedly less impactful. By measuring shifts in the prevalence and impact of different convergence modes in the 5-year intervals before and after 2013, our results indicate that these counterproductive patterns may relate to competitive pressures associated with global Human Brain flagship funding initiatives. Without additional policy guidance, such Grand Challenge flagships may unintentionally incentivize such convergence shortcuts, thereby undercutting the advantages of cross-disciplinary teams in tackling challenges calling on convergence. © 2021, CC BY.

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