• Title/Summary/Keyword: Research Information Systems

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Development of an Ubiquitous Healthcare System based on Health Information Exchange Standards (건강정보 교환 표준에 기반한 유비쿼터스 헬스케어 시스템 개발)

  • Lee, In-Keun;Kim, Hwa-Sun;Cho, Hune
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.3
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    • pp.273-280
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    • 2012
  • As changed the clinical environment, the interest on u-Healthcare service and systems has been increased. The ubiquitous healthcare(u-Healthcare) systems are constructed at the integrated environment that consists of various devices and systems basically such as personal health devices(PHDs) measuring body signals, information aggregators gathering the data transmitted from PHDs through wireless technology, and health information systems storing and managing personal health information transmitted from the information aggregators. International standards such as IEEE 11073 and HL7 have been specified for the interoperability of PHDs and health information systems, but the research on u-Healthcare systems that were developed and applied in the real clinical environment by adopting the standards was rarely conducted. Therefore, we developed an u-Healthcare system which can manage personal health information, such as blood glucose, blood pressure, and body composition, based on health information exchange standards. Moreover, we verified the stability of the developed system through clinical trial in patients with endocrine disease at the Kyungpook National University Hospital, and listed problems occurred during clinical trial and found their solutions.

A Confirmatory Analysis for Information Systems Outsourcing Determinant factors (정보시스템 아웃소싱 결정요인에 관한 확인적 연구)

  • 김종민;김성국;권혁기
    • Journal of the Korea Society of Computer and Information
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    • v.5 no.4
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    • pp.166-179
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    • 2000
  • This paper describes the various benefits that could be attributed to Information Systems Outsourcing, as an effective tool in an enterprises competitive strategy. This study attempts to confirmatory analysis the relationship between determinant factors and degree of Information Systems Outsourcing. A contribution of this study is the empirical of the determinant factors of Information Systems Outsourcing. The result of this study will be useful for the chief executives officers to make more rational outsourcing decision making for Information Systems and the vendor's marketing strategy developments. The paper also strives to provoke debate in this area with a view to encouraging further research on the topic.

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A Study on Automated Negotiation Methodology for Multi-lateral Concurrent Negotiation

  • Cho Min-Je;Choi Hyung Rim;Kim Hyun Soo;Hong Soon Goo;Park Young Jae;Shim Jung Hoon
    • The Journal of Information Systems
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    • v.14 no.3
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    • pp.89-96
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    • 2005
  • Though studies on negotiations have actively been conducted in the field of e-Commerce so far, some problems have yet to be solved and many application fields of negotiation systems exist. Currently, many businesses shift from various fields to e-Commerce market, due to recent social changes and expansion of e-Commerce market; however, we need to develop the study of automated agents to resolve the issue of negotiation, which is an essential element in the e-Commerce, by minimizing human interference under the e-Commerce environment. In this study, we intend to propose a new negotiation protocol considering the negotiation alternatives through continuous negotiation rounds in relation to an automated negotiation issue whose participants are one to N (seller to buyers). We also present an agent-facilitated negotiation methodology by which negotiation alternative generation process is automated, in consideration of buyer's negotiation attributes and strategies in the negotiation system.

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Mobile Application Design for Farmland Flooding Prevention and Realtime Data Collection (농경지 침수 피해 감소와 실시간 자료 수집을 위한 모바일 기반 정보 시스템 설계)

  • Eun, Sang-Kyu;Kim, Tae-Gon;Lee, Ji-Min;Suh, Kyo;Jang, Min-Won
    • Journal of Korean Society of Rural Planning
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    • v.19 no.3
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    • pp.1-12
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    • 2013
  • Climate change has increased the number of floods and inundation on farmland. Recently various mobile applications through inundation mapping, flood forecasts and evacuation routes have been developed for the prevention and reduction of flood damages. However, most of current prevention systems for farmland flooding are still web-based systems relying on the field survey which needs a lot of human and time resources although mobile devices has been rapidly improved and widely used. The purpose of this study is to design a mobile application for preventing and reducing farmland flood and inundation damages and collecting damage information in real time. We put advanced mobile device functions such as GPS, network communications, cameras into our system design. This system implement 2way communication and intuitive application that will increase information efficiency and decrease flood damage. Our design has been tested through previous flooding data of Jinju city in 2010.

Artificial Intelligence (AI) and Blockchain-based Online Payments in the Global World

  • Ahlam Alhalafi;Prakash Veeraraghavan;Dalal Hanna
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.1-11
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    • 2024
  • Payment systems are evolving, and this study examines how blockchain and AI improve online transactional security and service quality. The study examines micro and macro payment systems, compares online, and offline methods all over the world. The study also examines how blockchain and AI affect payment system security, privacy, and efficiency globally and rapidly digitizing economy. Digital payment methods are growing all over the world with high literacy and digital engagement, but they face challenges. The research highlights cybersecurity threats and the need to balance user convenience and security. It suggests blockchain and AI improve online payment services, supporting the policies for different countries. In this extensive research survey, we compare and evaluate the strengths and weaknesses of various payment systems, their practicality, and their robustness. This study also examines how technological innovations and payment systems interact to reveal how blockchain and AI could transform the financial sector. It seeks to understand how technology-enhancing service quality can boost customer satisfaction and financial stability in the digital age. The findings should help policymakers, financial institutions, and technology developers optimize online payment systems for a more secure and efficient digital economy.

An Ontology-Based Labeling of Influential Topics Using Topic Network Analysis

  • Kim, Hyon Hee;Rhee, Hey Young
    • Journal of Information Processing Systems
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    • v.15 no.5
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    • pp.1096-1107
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    • 2019
  • In this paper, we present an ontology-based approach to labeling influential topics of scientific articles. First, to look for influential topics from scientific article, topic modeling is performed, and then social network analysis is applied to the selected topic models. Abstracts of research papers related to data mining published over the 20 years from 1995 to 2015 are collected and analyzed in this research. Second, to interpret and to explain selected influential topics, the UniDM ontology is constructed from Wikipedia and serves as concept hierarchies of topic models. Our experimental results show that the subjects of data management and queries are identified in the most interrelated topic among other topics, which is followed by that of recommender systems and text mining. Also, the subjects of recommender systems and context-aware systems belong to the most influential topic, and the subject of k-nearest neighbor classifier belongs to the closest topic to other topics. The proposed framework provides a general model for interpreting topics in topic models, which plays an important role in overcoming ambiguous and arbitrary interpretation of topics in topic modeling.

A Study on the Effect of Anthropomorphism, Intelligence, and Autonomy of IPAs on Continuous Usage Intention: From the Perspective of Bi-Dimensional Value

  • Ping Wang;Sundong Kwon;Weikeon Zhang
    • Asia pacific journal of information systems
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    • v.32 no.1
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    • pp.125-150
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    • 2022
  • Technology companies launched their intelligent personal assistants (IPAs). IPAs not only provide individuals with a convenient way to interact with technology but also offer them the opportunity to interact with AI in a useful and meaningful form. Therefore, the global IPAs have experienced tremendous growth over the past decade. But maintaining continuous usage intention is still a massive challenge for developers and marketers and previous technology adoption models are not enough to explain continuous usage intention of IPAs. Thus, we adopted the bi-dimensional perspectives of utilitarian and hedonic value in this research model, and investigated how three characteristics of IPAs - anthropomorphism, autonomy, and intelligence - affect utilitarian value and hedonic value, which in turn continuous usage intentions. 227 data were collected from IPA users. The results showed that IPAs' continuous usage intention is significantly determined by both utilitarian and hedonic value, with the hedonic value being more prominent. In addition, the results showed that anthropomorphism and intelligence are the most important antecedents of utilitarian and hedonistic value. The results also illustrated that autonomy is a crucial predictor of utilitarian value rather than hedonistic value. Our work contributes to current research by widening the theoretical understanding of the effect of IPA characteristics on continuous usage intention through bi-dimensional values. Our paper also provides IPAs' developer and marketer guidelines for enhancing continuous usage intention.

A Comprehensive Approach for Tamil Handwritten Character Recognition with Feature Selection and Ensemble Learning

  • Manoj K;Iyapparaja M
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.6
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    • pp.1540-1561
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    • 2024
  • This research proposes a novel approach for Tamil Handwritten Character Recognition (THCR) that combines feature selection and ensemble learning techniques. The Tamil script is complex and highly variable, requiring a robust and accurate recognition system. Feature selection is used to reduce dimensionality while preserving discriminative features, improving classification performance and reducing computational complexity. Several feature selection methods are compared, and individual classifiers (support vector machines, neural networks, and decision trees) are evaluated through extensive experiments. Ensemble learning techniques such as bagging, and boosting are employed to leverage the strengths of multiple classifiers and enhance recognition accuracy. The proposed approach is evaluated on the HP Labs Dataset, achieving an impressive 95.56% accuracy using an ensemble learning framework based on support vector machines. The dataset consists of 82,928 samples with 247 distinct classes, contributed by 500 participants from Tamil Nadu. It includes 40,000 characters with 500 user variations. The results surpass or rival existing methods, demonstrating the effectiveness of the approach. The research also offers insights for developing advanced recognition systems for other complex scripts. Future investigations could explore the integration of deep learning techniques and the extension of the proposed approach to other Indic scripts and languages, advancing the field of handwritten character recognition.

Development and Application of Web-Based Shopping Systems Configuration Model for the Activation of Electronic Commerce: Concerning both the Business and Technical Issues (전자상거래 확산을 위한 웹기반 쇼핑시스템의 상황모형의 개발 및 적용: 경영과 기술의 조화로운 연구관점)

  • Kim, Chang-Su
    • International Commerce and Information Review
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    • v.6 no.3
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    • pp.81-99
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    • 2004
  • Research relevant to the electronic commerce tends to either overestimate or underrate the role of Information and Communication Technology (lCT). There is both technological skepticism within the social science circles and technical optimism within the engineering and computing field. Each perspective seems to have a limitation in adequately explaining the phenomenon of electronic commerce diffusion. Therefore, this research attempts to explore major characteristics of Web-based shopping systems as enablers of new business, concerning both the technical and business aspects in contemporary electronic commerce settings. On this basis, this paper addresses a configuration model of WBSS on the harmonious perspective concerning both the technical and business issues. It is our hope that both technical perspective and business perspective for exploring WBSS's configuration model presented in this paper can be an initial step towards a more balanced debate of ICT role, for electronic commerce.

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인터넷 쇼핑몰의 e-Loyalty 향상을 위한 이미지, 신뢰, 몰입에 관한 연구

  • Lee, Jong-Man;O, Jae-Sin
    • Proceedings of the Korea Association of Information Systems Conference
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    • 2005.12a
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    • pp.235-248
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    • 2005
  • This paper examines internet shopping mall e-loyalty behaviors. Conceptually, the paper relied on the relatively established literature on ' traditional ' store image and technology acceptance research. And proposes an integrated model including factors on customer e-loyalty in shopping environment. For this purpose, internet shopping mall user's image is proposed to affect trust, and commitment, and consequently to influence customer loyalty behaviors. The empirical results indicated that shopping mal image take significant effect on trust and customer loyalty behaviors. And commitment variable are effective mediators linking internet shopping mall user's trust and their loyalty behaviors. The proposed model and empirical results would contribute to setting up strategy shopping mall industry, and also to future research in information systems and internet marketing.

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