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IEEE Latin American Robotics Symposium, LARS

作者： Andre Carlos Teixeira de Vasconcelos Almir Silva Silveira Raphael Melo de Oliveira Lucas Tejedor da Silva Giselle Medeiros Mesiara João Roberto de Toledo Quadros Master's Degree Program in Computer Science Celso Suckow da Fonseca Federal Technological Education Center Rio de Janeiro Brazil Department of Computer Science Celso Suckow da Fonseca Federal Technological Education Center Rio de Janeiro Brazil Sense & Learn (SELEA)21 Copenhagen University Denmark Department of Electronic Engineering/Pos-Graduate Program in Computer Science Celso Suckow da Fonseca Federal Technological Education Center Rio de Janeiro Brazil

ISBN: (数字)9781665462808

ISBN: (纸本)9781665462815

Nowadays, schools are trying to insert knowledge and learning about sustainability issues and environmental conservation in the academic context from an early age. It is also observed the use of information technology with new didactic and ludic resources that can encourage elementary and high school students to obtain knowledge about sustainability. To this end, this research presents some results using Educational Robotics, Gestalt, and information technology, which students received from a Brazilian public elementary school. In this study, after attending workshops on sustainability, the students developed robotic resources to help them with sustainability-related knowledge. The resources were tested according to their objectives: a mobile robot that recognizes the food and shows its footprint and a box with gas sensors to identify if food is in consumable condition or should be recycled. The experiment was very successful and is in a continuous application phase.

关键词： Conferences Education Robot sensing systems Object recognition Mobile robots Sustainable development Information technology

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The hybrid algorithm for product design in multimedia

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International Journal of Applied Systemic Studies 2017年第1-3期7卷 78-91页

作者： Huang, Ching-Lien Chen, Yung-Hui Tseng, Chun-Hsiung Wan, Tian-Long Shen, Mars Department of Industrial Management Lunghwa University of Science and Technology No. 300 Sec. 1 Wanshou Rd. Guishan Taoyuan City33306 Taiwan Department of Computer Information and Network Engineering LungHwa University of Science and Technology No. 300 Sec. 1 Wanshou Rd. Guishan District Taoyuan City33306 Taiwan Department of Communications Engineering Yuan Ze University No. 135 Yuandong Rd. Zhongli Dist. Taoyuan City320 Taiwan Department of Information Management Lunghwa University of Science and Technology No. 300 Sec. 1 Wanshou Rd. Guishan Taoyuan City33306 Taiwan Department of Master’s Program of Business Administration Lunghwa University of Science and Technology No. 300 Sec. 1 Wanshou Rd. Guishan Taoyuan City33306 Taiwan

It is the key successful factors for the manufacture industry that create and select the key parameters in product design to match customer requirements in multimedia. Previous literature studies are focused on the development of customer requirements or parameter selection in product design but not the development of customer demand modelling and product parameter selections in multimedia. In this way we can achieve the purpose of meeting customer demand for product design in multimedia. Kano is a successful method to solve the customer requirements selections issues. And, the theory of inventive problem solving (TRIZ) method is a method to solve the contradiction of product design. Therefore;the integration of the Kano and theory of inventive problem solving (TRIZ) methods is proposed to solve the cable product design in multimedia. This algorithm is also verified in an electronic manufacture. In summary, the proposed algorithm can be helpful by creating a product system in multimedia in this study. Copyright © 2017 Inderscience Enterprises Ltd.

关键词： Product design

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Sport science Model to Support the Professional Sports Organization Decision Making

Sport Science Model to Support the Professional Sports Organ...

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International Conference on Information Management and Technology (ICIMTech)

作者： Tanty Oktavia Ford Lumban Gaol Takaaki Hosoda Arsyan Syahir School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Advanced Institute of Industrial Technology Tokyo Japan BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

The role of information technology in sports organizations is important to analyze all aspects including how to win in the competition based on various internal and external factors. The approach that used to enhance the sports organizations is sports science, which is a concept that contributes to the development of athletes by collaborating in many fields and studies, such as anatomy, physiology, psychology, engineering, chemistry, etc. The approach of Sport science articulates the technology that blended on all of the approached. Currently, the use of sports technology or science in Indonesia is also very low in all sports categories. Usually, the management and coaches look at player statistics based on manual data or reports to view player statistics periodically. There is still a lack of exploration to use player statistics to be used by coaches to improve the ability of the players and the organization. This research will propose how to develop sports science with a business intelligence approach that used the Kimball data mart approach as decision support in the field of sports so that management and coaches can apply the correct approach to improve the capacity of players and organizational development. The result of this study will provide the model of sports science that can be implemented for a professional sports organization in Indonesia.

关键词： Business intelligence Decision making Tools Companies

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IoT for Water Quality Categorization

IoT for Water Quality Categorization

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International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Hermantoro Sastrohartono Andreas Wahyu Krisdiarto Arief Ika Uktoro Reza Rahutomo Teddy Suparyanto Bens Pardamean Agricultural Engineering Department Faculty of Agricultural Technology Institute of Agriculture STIPER Yogyakarta Indonesia Information System Department School of Information Systems Bina Nusantara University Jakarta Indonesia Bioinformatics & Data Science Research Center Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia

In agricultural water research, the adoption of Internet of Things (IoT) technology has emerged as a pivotal approach for large-scale data collection. Water availability in the context of water quality is very important, both for domestic and industrial purposes. For domestic purposes, drinking water and bathing water are separated. Meanwhile, for the palm oil industry, boiler filler is differentiated from additional process water (dilution water). Water quality parameters can be assessed from turbidity and Total Dissolve Solid (TDS). Measurements using measuring instruments separately and repeatedly require significant energy, time, and costs. This research was conducted with the primary objective of presenting a novel method for categorizing water quality with the approach of IoT sensor technology. The research methodology entailed the utilization of an integrated IoT water sensors system in conjunction with manual water categorization. The methods consist of (1) system design, (2) design and installation of sensor and IoT-based microcontrollers, and (3) accuracy and precision testing compared with laboratory measurements. The precision of the integrated IoT water sensors was assessed through a dedicated sensor precision test, resulting in an accuracy rate of 94.4% for the turbidity sensor and 97.5% for the TDS sensor. Notably, this approach successfully discriminated drinking water with valid categorization, while other water types, including groundwater, water with tea, and water with coffee, yielded null categorization results.

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Transformative Sport science Using Social Media as a Collaboration Tool

Transformative Sport Science Using Social Media as a Collabo...

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International Conference on ICT For Smart Society (ICISS)

作者： Tanty Oktavia Ford Lumban Gaol Takaaki Hosoda Arsyan Syahir School of Information Systems Bina Nusantara University Jakarta Indonesia Binus Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Advanced Institute of Industrial Technology Tokyo Japan BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781665404228

ISBN: (纸本)9781665404235

Sports science can have a significant and positive impact on coaches and athletes, as well as for the professional sports organization. According to this situation, more and more organizations are competing to implement sports science as the monitoring systems. Along with the development of technology, it becomes easier for humans to carry out their activities, including communication with each other. Advances in the field of communication technologies have led to the use of social networks to support all activity. With social media, all kinds of information that people want to search for can be found easily. Social networks have their uniqueness in their characteristics. Like LINE has free calling and video calling features, while Instagram has features like Instagram Story, where users can document their activities in the form of photos or recordings. By all the characteristics of social networks, it will support the activity of sports science. The methodology of this research focused on quantitative research based on the T-test approach. The result shows that social media involvement can significantly support collaboration in sports science, so it can increase people's motivation to interact with other participants in sport organizations.

关键词： Sports Social networking (online) Media Reliability Organizations Tools Information systems

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EBITDA Time Series Forecasting Case study: Provincial Waterworks Authority

EBITDA Time Series Forecasting Case study: Provincial Waterw...

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International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications Engineering (ECTI-NCON)

作者： Kraisak Khusuwan Kitsana Waiyamai Master of Science Program in Information Technology Computer Engineering Kasetsart University Lak Si 343/347 Plum condo Chaengwattana Chaengwattana Rd. Talat Bang Khen Bangkok Computer Engineering Kasetsart University Chatuchak 50 Ngam Wong Wan Rd. Lad Yao Bangkok

EBITDA is a measure of a company's financial performance. It can determine the direction of business decisions for the organization, can be used to analyze and compare profitability among companies. By its linear and non-linear combination, appropriate forecasting technique must be determined. The aim of this paper is to propose a methodology for forecasting EBITDA. We propose a three-steps methodology which is composed of data preparation, forecasting model comparison and evaluation steps. The results from using 10 years monthly data of the Provincial Waterworks Authority (PWA) reveal that the best model is ARIMA-ANN hybrid model. Thus, this model can be used to forecast the other time series data such as Selling Expenses, Operating Expense, General and Administrative Expenses in the future.

关键词： Data models Forecasting Time series analysis Predictive models Computational modeling Artificial neural networks Buildings

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Outliers Detection in Time Series Data : Case study: Provincial Waterworks Authority

Outliers Detection in Time Series Data : Case study: Provinc...

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International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications Engineering (ECTI-NCON)

作者： Isara Khongsrabut Kitsana Waiyamai Master of Science Program in Information Technology Computer Engineering Kasetsart University 343/313 Plum condo Chaengwattana Chaengwattana Rd. Talat Bang Khen Lak Si Bangkok Computer Engineering Kasetsart University 50 Ngam Wong Wan Rd. Lad Yao Chatuchak Bangkok

One main cause of inaccurate forecasts is that data may contain noises and outliers. In the case of the Provincial Waterworks Authority (PWA), the inaccuracy of analyzing and forecasting the number of water users is due to outliers contained in data sources. Some branches of PWA collected errors such as the very high or very low number of water users. This has a direct impact on the quality and reliability of the predictive accuracy output. The removal of the “outliers” is thus critical for accurate interpretation of the data. The purpose of this paper is to detect outliers in water consumption time series data. We examined two techniques: (1) a method based on autoregressive integrated moving average (ARIMA) time series modeling and (2) median absolute deviation (MAD). A clustering technique (K-Mean) is used as a pre-processing step in order to identify appropriate parameters for the two outliers detection techniques. The results showed that, with the precise parameter values obtained from K-Mean, both ARIMA and MAD performed very well on water consumption time series data. The two techniques are able to generate high sensitivity and specificity outputs.

关键词： Time series analysis Anomaly detection Forecasting Digital art Media Telecommunications High frequency

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The Role of Positive Emotion in Trust Repair

The Role of Positive Emotion in Trust Repair

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2011 International Conference on Financial Management and Economics（ICFME 2011）

作者： Jyh-Jeng Wu Shu-Hua Chien Ying-Hueih Chen Hsin-Tzu Chang Department of Business Management National United UniversityTaiwan Department of Insurance and Finance National Taichung Institute of TechnologyTaiwan Department of Computer Science and Information Management Providence UniversityTaiwan Master Program in Business Administration National United UniversityTaiwan

This paper discusses the role of casual attributions and positive emotion in trust repair of *** equation modeling(SEM) was used in our study to analyze 517 valid online *** empirical results indicate that casual attributions(locus and stability) have a negative impact on positive emotion;however,controllability opposing our initial expectation has a positive impact on positive *** the same time,positive emotion not only influences trust but also mediates the effect of casual attributions on trust.

关键词： casual attributions,positive emotion,trust repair,e-commerce

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Quantum Fourier Transform of Atrial Fibrillation

Quantum Fourier Transform of Atrial Fibrillation

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Quantum Computing and Engineering (QCE), IEEE International Conference on

作者： Yu-Ching Chen Chih-Yu Chen Tsung-Wei Huang Chia-Ho Ou Master Program in Intelligent Computing and Big Data Chung Yuan Christian University Taoyuan Taiwan Quantum Information Center Chung Yuan Christian University Taoyuan Taiwan Department of Computer Science and Information Engineering National Pingtung University Pingtung Taiwan

ISBN: (数字)9798331541378

ISBN: (纸本)9798331541385

Electrocardiograms (ECGs) are crucial for detecting cardiac diseases like atrial fibrillation (AF). Traditional analysis methods like fast Fourier transform (FFT) face challenges with increasing data complexity. This study uses Taipei Veterans General Hospital data to explore quantum Fourier transform (QFT) for ECG analysis. Results show that QFT effectively analyzes ECG signals, matching FFT performance while benefiting from quantum computing's efficiency.

关键词： Heart Quantum computing Fast Fourier transforms Hospitals High performance computing Atrial fibrillation Machine learning Electrocardiography Real-time systems Signal analysis

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Experimental selection and verification of maximum-heart-rate formulas for use with karvonen formula

Experimental selection and verification of maximum-heart-rat...

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10th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2013

作者： She, Jinhua Nakamura, Hitoshi Makino, Koji Ohyama, Yasuhiro Hashimoto, Hiroshi Wu, Min Graduate School of Bionics Computer and Media Sciences Tokyo University of Technology 1404-1 Katakura Hachioji Tokyo 192-0982 Japan Interdisciplinary Graduate School of Medical and Engineering University of Yamanashi 4-3-11 Takeda Kofu 400-8511 Japan Master Program of Innovation for Design and Engineering Advanced Institute of Industrial Technology Shinagawa Tokyo 140-0011 Japan School of Information Science and Engineering Central South University Changsha 410083 China

ISBN: (纸本)9789898565716

Maximum heart rate (MHR) is commonly used to estimate exercise intensity with the Karvonen formula, and there are several methods of calculating it. In this study, we used pedaling experiments on a cycle ergometer to evaluate methods of determining MHR in order to select the ones most suitable for the Karvonen formula. In the experiments, 43 subjects rode an aerobike. The results show that, for people in their 20s, two methods are suitable for estimating exercise intensity with the Karvonen formula. The main physical parameters affecting exercise intensity were also extracted, based on the experimental results.

关键词： Heart

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