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7th International Conference on ICT for Smart Society, ICISS 2020

作者： Oktavia, Tanty Gaol, Ford Lumban Hosoda, Takaaki Syahir, Arsyan Bina Nusantara University School of Information Systems Information Systems Department Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program - Doctor of Computer Science Computer Science Department Jakarta11480 Indonesia Advanced Institute of Industrial Technology Decision Science Department Tokyo Japan Bina Nusantara University BINUS Graduate Program - Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia

ISBN: (纸本)9781665404228

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. © 2020 IEEE.

关键词： Sports

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Integration of the Use of Conventional Technology Towards Smart Home Technology for People in the City of Jakarta 10

Integration of the Use of Conventional Technology Towards Sm...

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10th International Conference on ICT for Smart Society, ICISS 2023

作者： Oktavia, Tanty Lintang, Febian Wijaya Ongko, Gerald Christian Benedicta, Griselda Valerie Michelle Sembiring, Vieri Aska Juneio Ananta, Zaldy Raditya Hosoda, Takaaki Gaol, Ford Lumban Bina Nusantara University BINUS Graduate Program - Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Advanced Institute of Industrial Technology Decision Science Department Tokyo Japan Bina Nusantara University BINUS Graduate Program - Doctor of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350339543

Smart Home technology offers technological concepts that can be controlled through smart devices to make it easier for the community. Therefore, smart home technology is starting to seize the home electronics market in Indonesia, especially in the city of Jakarta. This study aims to determine the integration of conventional technology into smart home technology for people in Jakarta. The research model in this study uses UTAUT2 which analyzes nine variables, namely Perceived Usefulness, Perceived Cost, Perceived Ease of Use, Social Influence, Perceived Compatibility, Trust, Perceived Pleasure, and Effort Expectations, Intention to Use Smart Home Technology. After the responses were received, data analysis was carried out using the PLS-SEM approach with the SmartPLS application. The results of this study show that there are many people who live in Jakarta who are helped by the presence of smart home technology. However, there are some people who don't really know how to use a smart home because of a lack of knowledge about this technology. © 2023 IEEE.

关键词： Technology transfer

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Improving EFL students' learning achievements and behaviors using a learning analytics-based e-book system 28

Improving EFL students' learning achievements and behaviors ...

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28th International Conference on computers in Education, ICCE 2020

作者： Chen, Mei-Rong Alice Majumdar, Rwitajit Hwang, Gwo-Jen Lin, Yi-Hsuan Akçapinar, Gökhan Flanagan, Brendan Ogata, Hiroaki Graduate Institute of Digital Learning and Education National Taiwan University of Science and Technology Taiwan Academic Center for Computing and Media Studies Kyoto University Japan Department and Graduate Institute of English Language and Literature Chinese Culture University Taiwan Department of Computer Education and Instructional Technology Hacettepe University Turkey

ISBN: (纸本)9789869721455

An e-book system allows students to access learning materials regardless of location or time. However, reading e-books without additional guidance could be inefficient for students and thereby affecting their learning engagement and learning outcomes. In this study, a learning analytics-based (LA) e-learning approach was proposed to resolve the situation. Moreover, experimental design methods were used to explore the relationship between the learning engagement, behavior, and achievement of students who learned with the LA e-learning approach. The research results show that the learning performance of high- engagement participants using the LA e-learning approach is better than that of low- engagement participants. In addition, the findings indicated that the proposed method could support low and medium learners to improve their learning achievement. These findings could be a valuable reference for those who intend to develop an effective learning analytics-based learning approach through e-book systems. © ICCE 2020 - 28th International Conference on computers in Education, Proceedings. All rights reserved.

关键词： Students

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Localizing volumetric motion for action recognition in realistic videos 09

Localizing volumetric motion for action recognition in reali...

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17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums

作者： Wu, Xiao Ngo, Chong-Wah Li, Jintao Zhang, Yongdong Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Department of Computer Science City University of Hong Kong Kowloon Hong Kong Graduate University of Chinese Academy of Sciences Beijing 100049 China

ISBN: (纸本)9781605586083

This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge can be attributed to the large visual and motion variations imposed by realistic action poses. Previous works mainly focus on learning from descriptors of cuboids around space time interest points (STIP) to characterize actions. The size, shape and space-time position of cuboids are fixed without considering the underlying motion dynamics. This often results in large set of fragmentized cuboids which fail to capture long-term dynamic properties of realistic actions. This paper proposes the detection of spatio-temporal motion volumes (namely Volume of Interest, VOI) of scale and position adaptive to localize actions. First, motions are described as bags of point trajectories by tracking keypoints along the time dimension. VOIs are then adaptively extracted by clustering trajectory on the motion mainfold. The resulting VOIs, of varying scales and centering at arbitrary positions depending on motion dynamics, are eventually described by SIFT and 3D gradient features for action recognition. Comparing with fixed-size cuboids, VOI allows comprehensive modeling of long-term motion and shows better capability in capturing contextual information associated with motion dynamics. Experiments on a realistic Hollywood movie dataset show that the proposed approach can achieve 20\% relative improvement compared to the state-of-the-art STIP based algorithm. Copyright 2009 ACM.

关键词： Trajectories

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The Effectiveness of Online Project-Based Learning (PJBL) to Improve Sustainability Education at Private University 7

The Effectiveness of Online Project-Based Learning (PJBL) to...

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7th International Conference on Information Management and Technology, ICIMTech 2022

作者： Oktavia, Tanty Prayoga, Agung Vincent Kenth Devani, Vannesa Milewis, Ivena Gaol, Ford Lumban Hosoda, Takaaki BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Advanced Institute of Industrial Technology Decision Science Department Tokyo Japan

ISBN: (数字)9781665450904

ISBN: (纸本)9781665450904

Currently, online project-based learning is one of the methodologies used in university student assessment. Furthermore, this study is supported by several factors and current conditions applied to learning, such as the pandemic situation where all learning activities and assignments are carried out online and also the many applications of online project-based learning as a learning method to increase students' knowledges and abilities. The purpose of this study is to see how flow experience perception, self-efficacy, product evaluation, and learning motivation affect online PjBL effectiveness at a private university in Jakarta to improve sustain ability education. We surveyed 62 active undergraduate students with online PjBL experience and interviewed one of these five responders from various majors for more information. Flow experience perception, self-efficacy, product evaluation, and learning motivation all have a positive influence on online PjBL, according to multiple linier regression. © 2022 IEEE.

关键词： Students

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Energy-aware QoS control for wireless sensor network

Energy-aware QoS control for wireless sensor network

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2006 1st IEEE Conference on Industrial Electronics and Applications, ICIEA 2006

作者： Lei, Zhao Chaonong, Xu Yongjun, Xu Xiaowei, Li Advanced Test Technology Lab. Institute of Computing Technology Chinese Academy of Sciences 100080 Graduate University Chinese Academy of Sciences 100080 Department of Computer Science Hefei University of Technology Hefei 230009 China

ISBN: (纸本)078039514X

While a lot of research has been done on some important aspects of WSN such as architecture and protocol design, supporting Quality of Service in WSN is still a largely unexplored research field. An application-specific QoS has been defined as the sensor network resolution. The mathematical Gur Game algorithm is used to achieve optimal active sensor number. In this paper, we design a novel energy-aware algorithm based on the previous work to solve the QoS problems. The periodical sleeping mechanism is introduced into the algorithm to save energy. When the optimal number sensors are achieved in initialization stage, not all of the remaining Sleep state nodes need to wake up every second. Simulation results show our method can save more energy than the previous. © 2006 IEEE.

关键词： Wireless sensor networks

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Exploring provenance in high performance scientific computing

Exploring provenance in high performance scientific computin...

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1st Annual 2011 Workshop on High-Performance computing Meets Databases, HPCDB'11, Co-located with Supercomputing, SC'11

作者： Gadelha Jr., Luiz M.R. Wilde, Michael Mattoso, Marta Foster, Ian Computer and Systems Engineering Program Federal University of Rio de Janeiro Brazil National Laboratory for Scientific Computing Brazil Mathematics and Computer Science Division Argonne National Laboratory United States Computation Institute Argonne National Laboratory University of Chicago United States Department of Computer Science University of Chicago United States

ISBN: (纸本)9781450311571

Large-scale scientific computations are often organized as a composition of many computational tasks linked through data flow. After the completion of a computational scientific experiment, a scientist has to analyze its outcome, for instance, by checking inputs and outputs of computational tasks that are part of the experiment. This analysis can be automated using provenance management systems that describe, for instance, the production and consumption relationships between data artifacts, such as files, and the computational tasks that compose the scientific application. In this article, we explore the relationship between high performance computing and provenance management systems, observing that storing provenance as structured data enriched with information about the runtime behavior of computational tasks in high performance computing environments can enable interesting and useful queries to correlate computational resource usage, scientific parameters, and data set derivation. We briefly describe how provenance of many-task scientific computations specified and coordinated by the Swift parallel scripting system is gathered and queried. © 2011 ACM.

关键词： Information management

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Real-Time Detection of Encrypted Thunder Traffic Based on Trustworthy Behavior Association

Real-Time Detection of Encrypted Thunder Traffic Based on Tr...

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International Conference on Trustworthy computing and Services, ISCTCS 2012

作者： Xiong, Gang Huang, Wenting Zhao, Yong Song, Ming Li, Zhenzhen Guo, Li Institute of Computing Technology Chinese Academy of Science China Institute of Information Engineering Chinese Academy of Science China Graduate University of Chinese Academy of Science China National Computer Network Emergency Response Technical Team China Beijing University of Posts and Telecommunications Beijing China Ministry of Education Beijing China

ISBN: (纸本)9783642357947

Thunder, as the most popular P2P download software in China, has token up a large amount of bandwidth. And it is almost impossible to identify the encrypted thunder traffic. This paper proposes a method to detect encrypted Thunder traffic, featuring high precision and small computational cost. At the same time, this method doesn't depend on content inspection, nor does it violate users' privacy, which can be used flexibly in high-speed network environment, and deal with changes of statistical traffic properties. We implement a prototype system based on this algorithm, which can detect multiple versions of encrypted Thunder traffics in real time, achieving a precision rate above 95% and a recall rate above 95%. © Springer-Verlag Berlin Heidelberg 2013.

关键词： HIgh speed networks

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Few-shot learning for biotic stress classification of coffee leaves

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Artificial Intelligence in Agriculture 2022年第1期6卷 55-67页

作者： Lucas M.Tassis Renato A.Krohling LABCIN-Nature Inspired Computing Lab Federal University of Espirito SantoAv.Fernando Ferrari514CEP29075-910 VitóriaEspırito SantoESBrazil PPGI-Graduate Program in Computer Science Federal University of Espirito SantoAv.Fernando Ferrari514CEP 29075-910VitóriaEspírito SantoESBrazil

In the last few years,deep neural networks have achieved promising results in several ***,one of the main limitations of these methods is the need for large-scale datasets to properly ***-shot learning methods emerged as an attempt to solve this *** the few-shot learning methods,there is a class of methods known as embedding learning or metric *** methods tackle the classification problem by learning to compare,needing fewer training *** of the main problems in plant diseases and pests recognition is the lack of large public datasets *** to this difficulty,the field emerges as an intriguing application to evaluate the few-shot learning *** field is also relevant due to the social and economic importance of agriculture in several *** this work,datasets consisting of biotic stresses in coffee leaves are used as a case study to evaluate the performance of few-shot learning in classification and severity estimation *** achieved competitive results compared with the ones reported in the literature in the classification task,with accuracy values close to 96%.Furthermore,we achieved superior results in the severity estimation task,obtaining 6.74%greater accuracy than the baseline.

关键词： Plant diseases and pests classification Image classification Few-shot learning Meta-learning Convolutional neural networks

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Provenance traces of the swift parallel scripting system 13

Provenance traces of the swift parallel scripting system

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Joint EDBT/ICDT 2013 Workshops

作者： Gadelha Jr., Luiz M. R. Wilde, Michael Mattoso, Marta Foster, Ian National Laboratory for Scientific Computing Brazil Mathematics and Computer Science Division Argonne National Laboratory United States Computation Institute Argonne National Laboratory University of Chicago United States Computer and Systems Engineering Program Federal University of Rio de Janeiro Brazil Department of Computer Science University of Chicago United States

ISBN: (纸本)9781450315999

In this abstract, we describe provenance traces generated from executions of scientific workflows managed by the Swift parallel scripting system. They follow a provenance data model, used by MTCProv, the provenance management component of Swift. It is similar to PROV, representing most of its core concepts and including additional information about the scientific domain, computational resource consumption, and prospective provenance. We describe provenance queries that follow patterns commonly found in high performance computing and that are straightforward to support with MTCProv's built-in procedures. These queries often involve costly relational join operations and recursion, providing a relevant case for benchmarking. © 2013 Authors.

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