• Journal of Information Technology Applications and Management
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• 제31권1호
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• pp.163-175
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• 2024

This study conducts topic modeling analysis on four electric scooter sharing platforms: Alpaca, SingSing, Kickgoing, and Beam. Using user review data, the study aims to identify key topics and issues associated with each platform, as well as uncover common themes across platforms. The analysis reveals that users primarily express concerns and preferences related to application usability, service mobility, and parking/accessibility. Additionally, each platform exhibits unique characteristics and challenges. Alpaca users generally appreciate convenience and enjoyment but express concerns about safety and service areas. SingSing faces issues with application functionality, while Kickgoing users encounter connectivity problems and device usability issues. Beam receives overall positive feedback, but users express dissatisfaction with application usability and parking. Based on these findings, scooter sharing service providers should focus on enhancing application features, stability, and expanding service coverage to meet user expectations and improve customer satisfaction. Furthermore, highlighting platform-specific strengths and providing tailored services can enhance competitiveness and foster continuous service growth and development.

• 전기학회논문지
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• 제61권11호
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• pp.1689-1694
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• 2012

In this paper, we present a reconfigurable mobile platform (RMP) for user-specific applications. The RMP consists of a basic module and more than one extended module that offers specified functions to a portable platform based on the circumstances and purposes of the users. The extend module for specified purposes is connected to the basic module using a common interface that offers interoperability to the traditional interfaces. This paper gives the results of a survey to determine specifications of a reconfigurable mobile platform. Utilizing the results of the survey, we propose a prototype of the reconfigurable mobile platform to enable specialized functions. The design objective is to provide specialized functions required for user specific needs related to their age and physical condition. In addition, it can be used for mobile healthcare applications that are efficient in improving the user's health conditions by executing medical analysis and prescriptions.

• Coupled systems mechanics
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• 제9권5호
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• pp.433-454
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• 2020

In-place analysis for offshore platforms is essentially required to make proper design for new structures and true assessment for existing structures. The structural integrity of platform components under the maximum and minimum operating loads of environmental conditions is required for risk assessment and inspection plan development. In-place analyses have been executed to check that the structural member with all appurtenances robustness and capability to support the applied loads in either storm condition or operating condition. A nonlinear finite element analysis is adopted for the platform structure above the seabed and the pile-soil interaction to estimate the in-place behavior of a typical fixed offshore platform. The analysis includes interpretation of dynamic design parameters based on the available site-specific data, together with foundation design recommendations for in-place loading conditions. The SACS software is utilized to calculate the natural frequencies of the model and to obtain the response of platform joints according to in-place analysis then the stresses at selected members, as well as their nodal displacements. The directions of environmental loads and water depth variations have important effects on the results of the in-place analysis behavior. The result shows that the in-place analysis is quite crucial for safe design and operation of offshore platform and assessment for existing offshore structures.

• 한국의류산업학회지
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• 제23권3호
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• pp.358-369
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• 2021

This study aims to classify the dimensions of the sales information of secondhand clothing goods on the C2C secondhand trading platform and to systematically analyze the components of each dimension. To this end, the NVivo 12.0 qualitative data analysis software was used. The content analysis showed that the sales information of secondhand clothing goods was classified into four dimensions: detailed information of the sale goods, information specific to secondhand clothing goods, seller opinion information, and service information. The components of each dimension were as follows. The detailed information of the sale goods included size, sale price, item, design, brand name, material, color, wearing season, fit, gender, etc. The information specific to secondhand clothing goods included the number of times the item was worn, its purchase history, and product condition. Seller opinion information included product review, sales motivation, notes for the transaction, coordination proposal, and usage proposal. The service information included the transaction mode, exchange·return·refund, and promotion. The frequency analysis showed that the highest frequencies were sale goods(37.47%), information specific to secondhand clothing goods(24.63%), seller opinion information(20.54%), and service information(17.37%). This study will help C2C secondhand trading platform managers or sellers establish clear standards for presenting sales information and developing ideas toward constructing differentiated platform contents.

• 한국IT서비스학회지
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• 제18권5호
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• pp.119-132
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• 2019

This study aims to analyze how specific features of a mobile platform such as economic feasibility, interactivity, safety, and design are correlated with perceived ease of use and customer satisfaction, targeting those who purchase delivery food on a mobile platform dedicated to delivery services. A survey was conducted on customers who had bought delivery food on a mobile platform and the data collection was conducted from August 19, 2019 to September 18, 2019, using 300 mobile platform service users. A total of 300 copies were retrieved. 249 valid samples of 300 copies were analyzed with SPSS 23.0 and AMOS 23, and In addition, programs including SPSS and AMOS were used for the analysis of frequency, confirmatory factor, reliability and validity, correlation and structural equation model. Major findings of such analysis are as follows. First, design characteristic of a mobil platform had relevant impacts on perceived ease of use. However, economic feasibility, interactivity, and safety did not significantly affect perceived ease of use. Second, perceived ease of use had a significantly influenced on the extent of customer satisfaction. Hence, from practical and academical point of views based on the results of this analysis, this study is expected to provide directions and some practical and useful implications for a mobile platform for food delivery services.

• Journal of the Korean Data and Information Science Society
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• 제26권2호
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• pp.475-486
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• 2015

Mining the microarray data accumulated in the public data repositories can save experimental cost and time and provide valuable biomedical information. Big data analysis pooling multiple data sets increases statistical power, improves the reliability of the results, and reduces the specific bias of the individual study. However, integrating several data sets from different studies is needed to deal with many problems. In this study, I limited the focus to the cross platform classification that the platform of a testing sample is different from the platform of a training set, and suggested a simple classification method based on rank. This method is compared with the diagonal linear discriminant analysis, k nearest neighbor method and support vector machine using the cross platform real example data sets of two cancers.

• 산업경영시스템학회지
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• 제31권3호
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• pp.1-7
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• 2008

This paper proposes an object-oriented software development guidance and an evaluation index for the productivity related to EJB(Enterprise JavaBeans). EJB is a known successful standard model for LSDO(Large Size Distributed Object). However, there is no comparison research about the performance of EJB 2.0 and 3.0 with same identical platform. Quantitative analysis is supported as a part of LOC(Line Of Code) analysis. There is a limit to develop the updated software with no the specific evaluating index for the productivity of software. This work proposes an specific index for evaluating the productivity of new version EJB on a platform. Base on the result, the specific guidance of the developing software is obtained.

• Journal of information and communication convergence engineering
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• 제21권3호
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• pp.216-224
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• 2023

Smart lighting systems have become increasingly popular in several public sectors because of trends toward urbanization and intelligent technologies. In this study, we designed and implemented a web application platform to explore and monitor data acquired from lighting devices at Thammasat University (Rangsit Campus, Thailand). The platform provides a convenient interface for administrative and operative staff to monitor, control, and collect data from sensors installed on campus in real time for creating geographically specific big data. Platform development focuses on both back- and front-end applications to allow a seamless process for recording and displaying data from interconnected devices. Responsible persons can interact with devices and acquire data effortlessly, minimizing workforce and human error. The collected data were analyzed using an exploratory data analysis process. Missing data behavior caused by system outages was also investigated.

• 정보처리학회논문지D
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• 제15D권2호
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• pp.187-196
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• 2008

새로운 패러다임의 시스템 개발 접근 방법은 OMG(Object Management Group)에서 MDA(Model Driven Architecture)로 표준화하고 있다. MDA의 핵심 기술은 모델 중심의 시스템 구현을 위한 기술 구조를 정의하는 것으로 시스템의 설계 및 명세에 대한 구현 기술을 플랫폼 독립적 모델(PIM : Platform Independent Model)로 설계한 후, 구현 환경에 적합한 플랫폼 종속적 모델(PSM : Platform Specific Model)로 설계하여 구현환경에 맞는 언어로 변환하는 기술이다. MDA의 핵심인 MOF(Meta-Object Facility), UML, XMI(XML Metadata Interchange), CWM(Common Warehouse Metamodel) 표준 등이 포함된다. MDA 지원 자동화 툴들은 위의 정보들을 갖고 변환 작업을 수행한 후 실행 가능한 시스템으로 생산해 내는 것이다.[1] 본 논문에서는 MDA기반 접근 방법을 적용하여 학사관리 시스템을 설계 및 구현하고, MDA기반 접근 방법에 대한 모델링의 중요성을 강조하였다. 또한 소프트웨어를 효율적으로 개발하는 방법을 제시하여 플랫폼 독립적 모델(PIM)로 작성하고, 플랫폼 종속적 모델(PSM)을 J2EE 플랫폼 기반의 EJB(Enterprise Java Beans)로 변환하는 과정 등을 제시하였다. MDA를 지원하는 자동화 툴 및 편집기(Together Architect 2006 for Eclipse, Edit plus 2)와 데이터베이스 모델링 툴(ER/WIN 4.1)을 사용하여 시스템 설계 및 구현을 하였으며, 전통적 개발 프로세스와 MDA 기반 개발 프로세스에 대한 유효성 분석 결과를 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권2호
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• pp.829-842
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• 2018

Unmanned Aerial Vehicle (UAV) is diversely utilized in our lives such as daily hobbies, specialized video image taking and disaster prevention activities. New ways of UAV application have been explored recently such as UAV-based delivery. However, most UAV systems are being utilized in a passive form such as real-time video image monitoring, filmed image ground analysis and storage. For more proactive UAV utilization, there should be higher-performance UAV and large-capacity memory than those presently utilized. Against this backdrop, this study described the general matters on proactive software platform and high-performance UAV hardware for real-time target tracking; implemented research on its design and implementation, and described its implementation method. Moreover, in its established platform, this study measured and analyzed the core-specific CPU consumption.