• Asia pacific journal of information systems
• /
• 제34권1호
• /
• pp.26-48
• /
• 2024

Data plays an ever greater part in the tourism industry. While the platform-based sharing of open public data, private-sector intermediary platforms, and the use of social media to understand consumer trends are already well recognized, more potential for innovation exists in sharing private data among organizations in Smart Tourism Destinations. Research into the factors enabling and hindering coopetition in this kind of data sharing platforms is still in the nascent stage of development. Our case study of Sapporo, a major Japanese city endeavouring to create itself as a Smart Tourism Destination, sheds light on the initial approaches to involve organizations to such a data sharing agreement. Founding on seven interviews with ten participants of Sapporo Smart City project organization (SARD), we derived enablers and impediments that promote coopetition in data sharing as part of Smart Tourism Destination development. We also present practical recommendations and future research opportunities for such initiatives.

• 한국소음진동공학회:학술대회논문집
• /
• 한국소음진동공학회 2014년도 춘계학술대회 논문집
• /
• pp.139-140
• /
• 2014

• 한국시뮬레이션학회:학술대회논문집
• /
• 한국시뮬레이션학회 1992년도 제1회 산학협동 단기강좌 교재 시스템 시뮬레이션 이론 및 실제
• /
• pp.161-167
• /
• 1992

The spcaker will briefly summarized the current state of the art in commericial simulation tools as limited by soft ware and hardware technology. He will then discuss how recent and near-future advances in software and hardware tenilogy can be applied to the benefit of simulationists. Specifically, the following topics will be ciscussed : Simulation Languages vs Simulations ; Computer hardware platforms ; Performance liminting factors ; Performance assisting techniques ; Software architectures ; Human factors and model interaction.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제14권8호
• /
• pp.3437-3456
• /
• 2020

The computational science and engineering field, which combines basic science and computing technology, has emerged as a third scientific methodology, following theories and experiments. This study aimed to identify factors and relationships that affect the continued use of the computational science and engineering (CSE) platform for its successful operation, utilization, and diffusion. To that end, the quality factors of the platform were derived by combining the information system success model and the technology acceptance model. These factors affected user satisfaction and intention to reuse through users' perceived usefulness and perceived ease of use of the platform. An empirical analysis was conducted through a questionnaire survey of 373 users of the EDISON platform, a representative CSE platform in Korea. The results revealed that all quality factors have a positive influence on perceived usefulness and perceived ease of use. Specifically, information quality has a significant influence on perceived ease of use, and system quality has a significant influence on perceived usefulness. Perceived ease of use has a greater impact on user satisfaction than perceived usefulness, and satisfaction affects intention to reuse. The results can contribute to the development of CSE platforms and the development strategy to expand the number of users.

• 한국멀티미디어학회논문지
• /
• 제19권5호
• /
• pp.901-909
• /
• 2016

Unprecedented attention is being given to Smart Grid, Micro Grid and Internet of Things (IoT) in the Republic of Korea recently but such systems' effect is not well experienced by the market since they require additional and costly reforms for the existing household electrical system where adaptive communication platforms are needed. As such platforms, both wireless and wire communication technologies are being considered at the moment. Usually, they include WiFi, Zigbee technologies and the latter, LAN technology. However, communication speed decline due to signal attenuation and interference during wireless communications are considered to be the major problem and the extra works involving time and costs for the LAN system construction can be another demerit. Therefore, in this paper, we have introduced a Power Line Communication-based Smart Outlet System Expandable at Home to complement these disadvantages. Proposed IoT system involves Power Line Communication (PLC) technology which is essential to constructing a Smart Grid.

• International Journal of Naval Architecture and Ocean Engineering
• /
• 제8권1호
• /
• pp.73-82
• /
• 2016

In order to extend the operational life of Underwater Moored Platforms (UMPs), a horizontal axis water turbine is designed to supply energy for the UMPs. The turbine, equipped with controllable blades, can be opened to generate power and charge the UMPs in moored state. Three-dimensional Computational Fluid Dynamics (CFD) simulations are performed to study the characteristics of power, thrust and the wake of the turbine. Particularly, the effect of the installation position of the turbine is considered. Simulations are based on the Reynolds Averaged Navier-Stokes (RANS) equations and the shear stress transport ${\kappa}-{\omega}$ turbulent model is utilized. The numerical method is validated using existing experimental data. The simulation results show that this turbine has a maximum power coefficient of 0.327 when the turbine is installed near the tail of the UMP. The flow structure near the blade and in the wake are also discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권2호
• /
• pp.982-1004
• /
• 2017

The recent advances in the field of augmented reality (AR) have shown that the technology is a fundamental part of modern immersive interactive systems for the achievement of user engagement and a dynamic user experience. This survey paper presents the descriptions of a variety of the new AR explorations, and the issues that are relevant to the contemporary development of the fundamental technologies and applications are discussed. Most of the literature regarding the pertinent topics-taxonomy, the core tracking and sensing technologies, the hardware and software platforms, and the domain-specific applications-are then chronologically surveyed, and in varying detail, this is supplemented with the cited papers. This paper portrays the diversity of the research regarding the AR field together with an overview of the benefits and the limitations of the competing and complementary technologies.

• 한국군사과학기술학회지
• /
• 제21권2호
• /
• pp.225-234
• /
• 2018

In this paper, we consider a problem of partitioning a search area into smaller rectangular regions, so that multiple platforms can conduct search operations independently without requiring unnecessary coordination among themselves. The search area consists of cells where each cell has some prior information regarding the probability of target existence. The detection probability in particular cell is evaluated by multiplying the observation probability of the platform and the target existence probability in that cell. The total detection probability within the search area is defined as the cumulative detection probability for each cell. However, since this search area partitioning problem is NP-Hard, we decompose the problem into three sequential phases to solve this computationally intractable problem. Additionally, we discuss a special case of this problem, which can provide an optimal analytic solution. We also examine the performance of the proposed approach by comparing our results with the optimal analytic solution.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권11호
• /
• pp.3935-3949
• /
• 2021

With the rapid development of Internet and big data technology, various online social network platforms have been established, producing massive information every day. Hot topic discovery aims to dig out meaningful content that users commonly concern about from the massive information on the Internet. Most of the existing hot topic discovery methods focus on a single network data source, and can hardly grasp hot spots as a whole, nor meet the challenges of text sparsity and topic hotness evaluation in cross-network scenarios. This paper proposes a novel hot topic discovery method across social network based on an im-proved LDA model, which first integrates the text information from multiple social network platforms into a unified data set, then obtains the potential topic distribution in the text through the improved LDA model. Finally, it adopts a heat evaluation method based on the word frequency of topic label words to take the latent topic with the highest heat value as a hot topic. This paper obtains data from the online social networks and constructs a cross-network topic discovery data set. The experimental results demonstrate the superiority of the proposed method compared to baseline methods.

• 한국전자거래학회지
• /
• 제27권1호
• /
• pp.95-109
• /
• 2022

블록체인 기반의 플랫폼은 거래기록의 분산처리 및 암호화 기술 적용을 통해 데이터 무결성, 신뢰성, 보안성을 확보할 수 있다. 기존 지식공유 플랫폼에서는 정보 비대칭, 중앙화 등의 이유로 창출된 지식이 충분히 공유되거나 활용되지 못하는 문제점이 존재하지만 이에 관한 연구는 그동안 거의 이루어지지 않았다. 본 연구에서는 블록체인 기술, 토큰 이코노미, 지식공유, 동기이론, 사회적 교환 이론의 선행연구를 바탕으로 블록체인 기반의 지식공유 플랫폼에 대한 사례 연구와 발전 가능성에 대하여 살펴보고자 한다. 블록체인 기반의 플랫폼은 정보 비대칭성을 해소하고, 지식공유 흐름의 일원화 및 탈중앙화를 통한 권한 집중화 배제를 통해 불필요한 업무 절차를 간소화하고, 플랫폼이 생산하는 지식에 대한 접근과 활용을 강화하여 지식공유의 활성화에 이바지할 수 있을 것으로 기대한다.