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9th International Conference on ICT for Smart Society, ICISS 2022

作者： Hiererra, Siti Elda Ramadhan, Arief Supangkat, Suhono Harso Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Smart Cities and Communities Innovation Center Bandung Institute of Technology Bandung Indonesia

ISBN: (数字)9781665471350

ISBN: (纸本)9781665471350

Purpose - This study aims to identify, analyze, and synthesize gamification's purposes, benefits, and essential factors in the tourism industry through a systematic literature review (SLR). Methodology - The research is based on a systematic review of the literature and focuses on pertinent gamification literature in the tourism industry. The authors analyzed 30 articles published between 2013 and 2021. Findings - The authors summarize previous research into five categories of purposes for gamification: (1) engagement, (2) enjoyable experiences, (3) loyalty & brand awareness, (4) sustainable behavior, (5) competitive advantage;three benefits of gamification: (1) utilitarian, (2) hedonic, and (3) social;and two essential factors in gamification that support successful smart tourism destinations: (1) tourist motivational, and (2) game design element. The originality of the research - The study provides the SLR method to investigate gamification's purposes, benefits, and essential factors to support sustainable smart tourism destinations (SSTD). This finding helps build a complete understanding of the gamification concept to support sustainable smart tourism destinations. © 2022 IEEE.

关键词： Tourism

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Ontology-Driven IoT System for Monitoring Hypertension 25

Ontology-Driven IoT System for Monitoring Hypertension

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25th International Conference on Enterprise Information Systems, ICEIS 2023

作者： de Souza, Pedro Lopes de Souza, Wanderley Lopes Pires, Luís Ferreira Moreira, João Luiz Rebelo da Silva Rodrigues, Ronitti Juner Ciferri, Ricardo Rodrigues Semantics Cybersecurity & Services Group Faculty of Electrical Engineering Mathematics and Computer Science University of Twente P.O. Box 217 Enschede Netherlands Ubiquitous Computing Group Graduate Program in Computer Science Computing Department Federal University of São Carlos P.O. Box 676 São Carlos Brazil

ISBN: (纸本)9789897586484

Hypertension is a noncommunicable disease (NCD) that causes global concern, high costs and a high number of deaths. Internet of Things, Ubiquitous computing, and Cloud computing enable the development of systems for remote and real-time monitoring of patients affected with NCDs like hypertension. This paper reports on a system for monitoring hypertension patients that was built by employing these techniques. This system allows the vital signs of a patient (blood pressure, heart rate, body temperature) to be captured via sensors built in a wearable device similar to a wristwatch. These signals are transmitted to the patient's mobile device for processing, and the generated clinical data are sent to the cloud to be properly presented and analysed by the health professionals responsible for the patient. To deal with semantic interoperability issues that arise when multiple different devices and system components must interoperate, a semantic model was conceived for this system in terms of ontologies for diseases and devices. This paper also presents the semantic module that we developed and implemented in the cloud to perform reasoning based on this model, demonstrating the potential benefits of incorporating semantic technologies in our system. Copyright © 2023 by SCITEPRESS - science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： Ontology

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The Implementation of Octave-S in the Risk Management Measurement of Information System in the Department of Communication, Informatics, and Statistics 4th

The Implementation of Octave-S in the Risk Management Measur...

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4th International Conference on Inventive Computation and Information Technologies, ICICIT 2022

作者： Sukardi, Oggsa Gaol, Ford Lumban Matsuo, Tokuro Master of Information System Management Binus Graduate Programs Bina Nusantara University Jakarta11480 Indonesia Computer Science Department Binus Graduate Program—Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (纸本)9789811974014

An information system is an important part in an organization to support business processes and to achieve its vision and mission. The information system nowadays has been one of the assets that ought to be protected by an organization. The Department of Communication, Informatics, and Statistics has the information system supporting its various operational activities. In order to protect the information system, OCTAVE-S method as the management method is used. It is expected that the OCTAVE-S method can manage the risks to the information system as the asset by specifying the possible risks and developing countermeasures and mitigation plans for each of the risks. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Risk management

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Social Media as the Most Effective Means of Business Promotion Today with Using Social Media Advertising Technology 7th

Social Media as the Most Effective Means of Business Promoti...

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7th International Conference on Inventive Systems and Control, ICISC 2023

作者： Saputra, Aldo Tannaris, Ingwen Hubert, Kelby Gaol, Ford Lumban Matsuo, Tokuro Information Systems Department Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program—Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (纸本)9789819916238

Indonesia has the largest number of people that are active in social media and Indonesia is a country with the most social media users in the world. Social media in general is used to socialize (relate, both, personally, in groups and so on) between users. The users of social media in Indonesia already has reached 160 million in January 2020. and this number of social media users in Indonesia increased up to 12 million (8.1%) from April 2019 to January 2020. Firstly, social media was used by users to connect with each other through community. However, now social media is not only used as a means of virtual community for interaction but is also used as a channel for doing business. There are still many people who do not realize that social media has the advantage of being a very efficient and effective business, and many company that still confused about to choose which social media platform that suitable with their business promotion. Therefore, we want to show and tell them one of the advantages of social media in the field of promotion. Based on the surveys, there are four most popular social media in Indonesia such as YouTube, WhatsApp, Facebook, and Instagram. However, there still very few studies can be found to understand that social media is effective or not for business promotion. For this reason, this article will examine the advantages that social media have that can support business promotion. This article will utilize the questioners method to assess the important factors of social media users such as user satisfaction factors in using social media and what social media are often used by user to promote their business. The research result is expected to provide valuable guidance for user to understand about function social media for business promotion. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Economic and social effects

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EPC information services with No-SQL datastore for the Internet of Things

EPC information services with No-SQL datastore for the Inter...

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2014 IEEE International Conference on RFID, IEEE RFID 2014

作者： Le, Tuan Dinh Kim, Seong Hoon Nguyen, Minh Hoang Kim, Daeyoung Shin, Seung Young Lee, Kyung Eun Da Rosa Righi, Rodrigo Deparment of Computer Science KAIST Daejeon Korea Republic of Samsung Electronics Korea Republic of Graduate Program in Applied Computing Universidade Do Vale Do Rio Dos Sinos São Leopoldo Brazil

ISBN: (纸本)9781479935871

With the emergence of the Internet of Things (IoT) vision, RFID technology has attracted more and more interests from many industries. In the EPCglobal standard which standardizes RFID architectural framework and interfaces, the Electronic Product Code Information System (EPCIS) - the repository in the RFID network - plays a pivotal role in storing dynamic and historical RFID trajectory data, well-tailored to supply chain applications. However, in the IoT era, EPCIS should be capable of storing a large amount of realtime and continuous time-series RFID data in a scalable manner. Therefore, in this paper, we analyze the requirements and current design of EPCIS and report current limitations of SQL-based approaches for IoT applications. To cope with these limitations, we explore a NoSQL-based approach for EPCIS in the IoT and propose a column-family-based data model and customization for Cassandra-based EPCIS. Using real-world implementation, we also conduct a performance comparison between MySQL and Cassandra in different deployment scenarios (i.e., physical and virtual machines). As a result, we show the benefits of using Cassandra datastore for EPCIS in the IoT in terms of response time, throughput, and flexibility. © 2014 IEEE.

关键词： Internet of things

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Mining and analyzing multirelational social networks

Mining and analyzing multirelational social networks

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2009 IEEE International Conference on Social computing, SocialCom 2009

作者： Stroele, Victor Oliveira, Jonice Zimbrão, Geraldo Souza, Jano M. COPPE/UFRJ Graduate School of Computer Science Federal University of Rio de Janeiro Brazil Computing Science Department Mathematical Institute Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9780769538235

A Social Network is a social structure consisting of individuals or organizations, usually represented by nodes tied by one or more types of interdependency or relationship. This work focuses on using data mining techniques to identify intra and inter organization groups of people with similar profiles that could have relationships amongst them. For this, we construct a multirelational scientific social network where researchers may have four different types of relations with each other. In this paper, we analyze the scientific scenario in computing science in Brazil, assessing how researchers in the best universities and research centres collaborate and relate to each other © 2009 IEEE.

关键词： Data mining

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AGQ: A model of student question generation supported by one-on-one educational computing

AGQ: A model of student question generation supported by one...

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International Conference on computer Supported Collaborative Learning

作者： Chang, Sung-Bin Tung, Kuan-Jung Huang, Hsien-Ming Chan, Tak-Wai Department of Computer Science and Information Engineering National Central University Taiwan Degree Program of E-Learning National Chiao Tung University Taiwan Graduate Institute of Network Learning Technology National Central University Taiwan

ISBN: (纸本)0805857826

One-on-one educational computing refers to I student I computing device, which means every student in a group uses a digital learning device. In this paper, we present a model of student question generation called AGQ, which stands for "asking a good question," supported by one-on-one educational computing in the classroom settings. AGQ is designed for engaging students in a challenging learning activity that potentially involves higher-level cognitive processing operations. We shall describe the general design of AGQ, called Product Evolution, and that the current version is a variation of it.

关键词： one-on-one educational computing peer question generation question posing

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An app to assist farmers in the identification of diseases and pests of coffee leaves using deep learning

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Information Processing in Agriculture 2022年第1期9卷 38-47页

作者： Jose G.M.Esgario Pedro B.C.de Castro Lucas M.Tassis Renato A.Krohling LABCIN-Nature Inspired Computing Federal University of Espirito SantoAv.Fernando Ferrari514CEP 29075-910 VitoriaEspırito SantoESBrazil LABCIN-Nature Inspired Computing and PPGI-Graduate Program in Computer Scienceand Production Engineering DepartmentFederal University of Espirito SantoAv.Fernando Ferrari514CEP 29075-910 VitoriaEspırito SantoESBrazil

In recent years,deep learning methods have been introduced for segmentation and classi-fication of leaf lesions caused by pests and *** the commonly used approaches,convolutional neural networks have provided results with high *** purpose of this work is to present an effective and practical system capable of seg-menting and classifying different types of leaf lesions and estimating the severity of stress caused by biotic agents in coffee leaves using convolutional neural *** proposed approach consists of two stages:a semantic segmentation stage with severity calculation and a symptom lesion classification *** stage was tested separately,highlighting the positive and negative points of each *** obtained very good results for the severity estimation,suggesting that the model can estimate severity values very close to the real *** the biotic stress classification,the accuracy rates were greater than 97%.Due to the promising results obtained,an App for Android platform was developed and imple-mented,consisting of semantic segmentation and severity calculation,as well as symptom classification to assist both specialists and farmers to identify and quantify biotic stresses using images of coffee leaves acquired by smartphone.

关键词： Convolutional neural networks Semantic segmentation Coffee leaf Pests and diseases App.development

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Review On Hand Gesture Recognition for Bengali Sign Language 2

Review On Hand Gesture Recognition for Bengali Sign Language

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2nd International Conference on Advanced Research in computing, ICARC 2022

作者： Perera, Damitha Kanchana, Bimsara Peiris, Rojith Madushan, Kasun Kasthurirathna, Dharshana Sri Lanka Institute of Information Technology Faculty of Graduate Studeis and Research Malabe Sri Lanka Sri Lanka Institute of Information Technology Facluty of Computing - Computer Science and Software Egnineering Malabe Sri Lanka

ISBN: (纸本)9781665407410

Communication becomes difficult when interaction between the disabled and the general public are required. People with disabilities of various races communicate using various sign languages. For persons who are deaf or hard of hearing sign language is their primary mode of communication. However, the majority of our community does not understand sign language, taking them out in public is incredibly challenging. In order to make sign language understandable to the general public, computer vision-based methods are now widely used. Recognition of hand gesture is one of the computer vision based technologies for recognizing sign language, and it is attracting a lot of attention from analysis. For a long time, it has been a popular research area. In the area of hand gesture recognition in computer vision, some recent research has achieved outstanding improvements by employing deep learning techniques. In this paper we have discussed the previous research methods, technologies, datasets and models used in Bengal sign language gestures that are interconnected in terms of achieving a successful result. Therefore, this review article tried to reveal the independent techniques which are used to overcome the challenges in research. © 2022 IEEE.

关键词： computer vision

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Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation 7

Boundary-aware Contrastive Learning for Semi-supervised Nucl...

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7th International Conference on Medical Imaging with Deep Learning, MIDL 2024

作者： Zhang, Ye Wang, Ziyue Wang, Yifeng Bian, Hao Cai, Linghan Li, Hengrui Zhang, Lingbo Zhang, Yongbing School of Computer Science and Technology Harbin Institute of Technology 518055 China School of Science Harbin Institute of Technology 518055 China Tsinghua Shenzhen International Graduate School Tsinghua University 518071 China Faculty of Computing Harbin Institute of Technology 150001 China

Semi-supervised segmentation methods have demonstrated promising results in natural scenarios, providing a solution to reduce dependency on manual annotation. However, these methods face significant challenges when directly applied to pathological images due to the subtle color differences between nuclei and tissues, as well as the significant morphological variations among nuclei. Consequently, the generated pseudo-labels often contain much noise, especially at the nuclei boundaries. To address the above problem, this paper proposes a boundary-aware contrastive learning network to denoise the boundary noise in a semi-supervised nuclei segmentation task. The model has two key designs: a low-resolution denoising (LRD) module and a cross-RoI contrastive learning (CRC) module. The LRD improves the smoothness of the nuclei boundary by pseudo-labels denoising, and the CRC enhances the discrimination between foreground and background by boundary feature contrastive learning. We conduct extensive experiments to demonstrate the superiority of our proposed method over existing semi-supervised instance segmentation methods. © 2024 CC-BY 4.0, Y. Zhang, Z. Wang1, Y. Wang2, H. Bian3, L. Cai1, H. Li4, L. Zhang3 & Y. Zhang1.

关键词： Contrastive Learning

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