• Annual Conference of KIPS
• /
• 2009.11a
• /
• pp.79-80
• /
• 2009

최근 UAV(Unmanned Aerial Vehicle)의 OFP(Operation Flight Program)에 대한 많은 연구가 진행되고 있다. UAV의 OFP는 경성 소프트웨어 일종으로 Time deadline과 수많은 요인으로 인한 Fault에 대하여 소프트웨어의 높은 신뢰성이 요구가 된다. 본 논문에서는 UAV의 OFP에 대하여 STR(Primary-Shadow TMO replication)기반의 fault tolerant Architecture에 대하여 제안을 한다.

• Journal of Digital Convergence
• /
• v.16 no.9
• /
• pp.179-185
• /
• 2018

Technology of Internet of Things (IoT) which is receiving the spotlight recently as a new growth engine of Information Communications Technology (ICT) industry in the $4^{th}$ Industrial Revolution needs trustworthiness beyond simple technology of security. IoT devices should consider trustworthiness from planning and design of IoTs so that everyone who develop, evaluate and use the device can measure and trust its security. Increased number of IoTs and long lifetime result in the increased securituy vulnerability due to the difficulty of software patch and update. In this paper, we investigated security and scalability issues of current IoT devices through research of the technical, political and industrial trend of IoT. In order to overcome the limitations, we propose an automatic verification of software integrity utilizing and a political solution to apply cyber killchain based security mechanism using hash which is an element technology of blockchain to solve these problems.

• Journal of Internet of Things and Convergence
• /
• v.6 no.3
• /
• pp.15-20
• /
• 2020

In this paper, an error tracking platform is designed for enhanced-reliable IOT system. The platform is designed to enhance reliability of IOT system by analysing additional informations(OS, Browser, Device) and by notifying error detection to developers. Especially, in the case of an error in the service which it is difficult for developers to recognize it, The platform also supports notification services through various communication media(Email, Slack, SMS). The common interface is designed to accommodate many languages(typescript, Swift, and Android) in the development process, and the interface allows users to analyze errors that occur on various platforms, including mobile/web/desktop applications. By presenting each error in groups through issues, developers can easily identify issues in the service. The visualizing function is included to recognize various error type by dashboard.

• The KIPS Transactions:PartD
• /
• v.16D no.1
• /
• pp.145-152
• /
• 2009

The e-marketplace has emerged as a new place for transactions in the online industry. In the e-marketplace, buyers make transactions with whom they have little prior interaction. Thus it makes trust as one of the most important issues in the e-business. There are various kinds of information to foster customer's trust in the e-marketplace. In this study, we analyzed the impact of the information's satisfaction on the customer's transaction intention. The results showed that the satisfaction on the information related to transaction system, individual seller's information, and buyer's feedback are all positively related with the customer's transaction intention.

• The Transactions of the Korea Information Processing Society
• /
• v.7 no.8S
• /
• pp.2722-2728
• /
• 2000

현재의 인터넷 망을 이용하여 음성, 화상 정보를 실시간으로 이용하고자 하는 다양한 응용이 시도되고 있다. 차세대 통신으로 주목 받고 있는 IMT-2000에서도 기존의 회선 교환망 대신 인터넷 망을 이용함으로써 경제성, 관리의 편의성, 새로운 서비스의 창출이 가능한 등의 이점이 있다. 인터넷 망이 최선의 노력(best effort)만을 제공하기 때문에 발생되는 신뢰성과 지연의 문제는 이미 많은 연구가 있어왔고 현재 어느 정도의 서비스 품질을 획득하여 VoIP(Voice Over Internet Protocol)와 같은 서비스가 실제로 이용되고 있다. 그러나 무선 통신의 경우는 이에 더하여 무선 구간에서의 자원 할당의 문제가 남아 있다. 본 연구에서는 코어 망으로 인터넷 프로토콜을 사용하는 차세대 All-IP 망에서, 무선 이동단말 간의 멀티미디어 서비스가 가능하도록 효율적인 주파수 할당을 지원하는 QoS 관리자를 설계하였다. 제안한 QoS(Quality Of Service)관리자는 요구 대역폭이 다른 멀티미디어 호 요청에 대해 융통성 있는 주파수 할당이 가능하도록 대국의 QoS 관리자와의 협상을 통해 제한된 범위 내에서 서비스 품질을 조절하여 보다 많은 호 연결 요청이 성공할 수 있도록 한다.

• CRM연구
• /
• v.1 no.1
• /
• pp.23-48
• /
• 2006

Internet B2C marketplace such as 'Auction', 'G Market', 'Daum onket' etc.(called open market) has grown sharply in sales about yearly 100% rate increase in recent 1-2 years in Korea. Although Open marketplace has much reputation and the customer loyalty, almost of merchants participated in open market, which size in sales are medium/small, has poor reputation and trust. Consumers, who have to get in touch with untrustworthy merchants for trade in openmarket, perceive high trade risk which undergo the monetary damages such as 'merchandise never received'. This examines what factors consumer trust develop in online marketplace. This study explores several perceived risk factors in an open market by factor analysis and multi-regression to prove the relationships between the degree of trust for the merchants and the perceived trade risk. 133 data collected from the open market user data in this survey. In this study, the consumer's trade satisfaction in open market is low by 4.2 point degree of 7 point likert scale. and perceives 4 trade risk factors such as (1) 'failure to honor warranty or guarantee' (2) 'defective/poor goods in quality' (3) 'merchandise never received or received late' (4) 'poor information'. the degree of merchant's trust has significant relationship with the degree of perceived risk(sig. = 0.0000, $R^2=.327$) We find that the open market has to enhance the relationship marketing of trust by developing the strategies.

• Proceedings of the Korean Society for Quality Management Conference
• /
• 2006.04a
• /
• pp.171-176
• /
• 2006

본 연구는 새로운 교육채널로 부각되고 있는 사이버대학의 학습시스템에 대해 어떤 요인들이 학생의 이용행위에 영향을 미치는지를 연구하고자 하였다. 이를 위해 초기정보기술의 사용자의 사용태도를 분석하는데 유용한 TAM모형과 인터넷 기반 비즈니스에 많이 적용되는 신뢰(Trust)를 이용하였다.

• Journal of Internet Computing and Services
• /
• v.6 no.4
• /
• pp.37-46
• /
• 2005

Computer are being used in an increasingly wide variety of application areas, and their correct operation is often critical for business success and humasn safety. Developing high quality software products is therefore of prime important. The recent game software become popular, so we are interest in the game software testing. According to the kinds of game software, because it has the different characters, so game software testing is very difficult. According to enviroment change, Recently, online game is popular, so online game trade in the world market. In the company, developers try to develop the reliable game software. But we can experience many fault of game software in spite of the beta testing. Especially, Testing is very difficult on the game software because of various environment and functionality. We tried the survey for game user. In this paper, we study the quality testing metric of game software fault basis on the ISO/IEC 9126. Also, we consist of the check list of game software a point of view user. It apply for the reliability testing metrics of ISO/IEC 9126.

• Journal of Internet Computing and Services
• /
• v.21 no.6
• /
• pp.105-112
• /
• 2020

The present study aims to explore news sharers' characteristic. Specifically, it aims to look at news sharers' demographic characteristics, old media news usage and new media news usage. Besides, it also explores factors affecting news sharing behavior. The study used the second data of Korea Press Foundation. Findings from surveys suggest that first, news sharers are younger and have higher education than not news sharers. Second, news sharers use less news through old media while more news through new media. Third, political orientation, portal, SNS and online video platform new usage, messenger news reliability have positive effects on news sharing, while age and portal news reliability have negative effects on it. Based on these findings, implication, limitations, and topics for future research are discussed.

• Journal of Internet Computing and Services
• /
• v.24 no.2
• /
• pp.67-74
• /
• 2023

Stock price prediction research in the financial sector aims to ensure trading stability and achieve profit realization. Conventional statistical prediction techniques are not reliable for actual trading decisions due to low prediction accuracy compared to randomly predicted results. Artificial intelligence models improve accuracy by learning data characteristics and fluctuation patterns to make predictions. However, predicting stock prices using long-term time series data remains a challenging problem. This paper proposes a stable and reliable stock price prediction method using K-means clustering-based data augmentation and normalization techniques and LSTM models specialized in time series learning. This enables obtaining more accurate and reliable prediction results and pursuing high profits, as well as contributing to market stability.