• Title/Summary/Keyword: user demand analysis

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Article Data Prefetching Policy using User Access Patterns in News-On-demand System (주문형 전자신문 시스템에서 사용자 접근패턴을 이용한 기사 프리패칭 기법)

  • Kim, Yeong-Ju;Choe, Tae-Uk
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.5
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    • pp.1189-1202
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    • 1999
  • As compared with VOD data, NOD article data has the following characteristics: it is created at any time, has a short life cycle, is selected as not one article but several articles by a user, and has high access locality in time. Because of these intrinsic features, user access patterns of NOD article data are different from those of VOD. Thus, building NOD system using the existing techniques of VOD system leads to poor performance. In this paper, we analysis the log file of a currently running electronic newspaper, show that the popularity distribution of NOD articles is different from Zipf distribution of VOD data, and suggest a new popularity model of NOD article data MS-Zipf(Multi-Selection Zipf) distribution and its approximate solution. Also we present a life cycle model of NOD article data, which shows changes of popularity over time. Using this life cycle model, we develop LLBF (Largest Life-cycle Based Frequency) prefetching algorithm and analysis he performance by simulation. The developed LLBF algorithm supports the similar level in hit-ratio to the other prefetching algorithms such as LRU(Least Recently Used) etc, while decreasing the number of data replacement in article prefetching and reducing the overhead of the prefetching in system performance. Using the accurate user access patterns of NOD article data, we could analysis correctly the performance of NOD server system and develop the efficient policies in the implementation of NOD server system.

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The Analysis of User Demand on Residental Building Remodelling (주거용 건축물의 리모델링 요구 분석)

  • Kim, Chun-Hag;Kim, Eui-Sik;Yang, Keek-Yong
    • Journal of the Korea Institute of Building Construction
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    • v.3 no.1
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    • pp.161-168
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    • 2003
  • This study has researched upon customers' request in the remodelling of residential buildings, and that the research results could be used as a reference data when the remodelling work is under implementation. This study also has collected the residents' upgrading request on their residential buildings, and graded the requests according to their importance. For those purposes, this study classified the problem items through classified analyses and, built the census items, based on the results. Then, the residents' requests on the residential building were presented by importance rates through coupled analysis census. Also, the importance rates have been related to the construction items which predict the importance of each construction item. The main purposes of this study are setting up the direction of the remodelling of residential buildings and predicting the customer requests in the future, even though the remodelling of residential building in Korea has not been activated yet. The research results are expected to be used as a basic data in the remodelling and construction of residential buildings.

Acceptance of Smart Clothing Based on Outdoor Consumption Behavior

  • Cho, Hakyung;Lim, Ho-sun
    • Fashion & Textile Research Journal
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    • v.22 no.2
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    • pp.209-221
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    • 2020
  • Recently, following the commercialization and market entry of smart clothes with diverse functions, smart clothes have been changing from technology-centered products to user-centered products. However, the analysis of consumer demand centered on actual commercialized products is lacking. Therefore, this study classified commercialized smart clothes by function and analyzed the demand and requirements of smart clothes according to sports/outdoor clothes consumption behaviors. As a result, consumers were classified according to their sports/outdoor clothes consumption behaviors into an outdoor leading group with high consumption propensity, an outdoor pursuit group with medium consumption propensity, and an outdoor following group with low consumption propensity. Among the commercialized smart clothes, those with a heartbeat measuring function, those with a heating function, and those with a light-emitting function were presented and demand analysis was conducted. According to the results, the outdoor leading group and the outdoor pursuit group had higher levels of awareness, preference, and purchase intentions than the outdoor following group. In addition, the outdoor leading group showed the highest level of purchase price acceptance while the outdoor following group showed the lowest level of purchase price acceptance. However, this study has a limitation that the acceptance for smart clothes were analyzed with consumers who had experience in sports outdoor clothes consumption. Therefore, in future, studies will be conducted with a wide range of consumers.

Design and Performance Evaluation of Software On-Demand Streaming System Providing Virtual Software Execution Environment (가상 소프트웨어 실행 환경을 제공하는 주문형 소프트웨어 스트리밍 시스템 설계 및 성능평가)

  • Kim Young-Man;Park Hong-Jae;Han Wang-Won;Choi Wan;Heo Seong-Jin
    • The KIPS Transactions:PartC
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    • v.13C no.4 s.107
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    • pp.501-510
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    • 2006
  • Software streaming allows the execution of stream-enabled software on desktop or portable computing devices like PC, PDA, laptop, cellular phone, etc., even while the transmission/streaming from the server may still be in progress. In this paper, we present an efficient streaming system called Software On-Demand(SOD) streaming system to transmit stream-enabled applications in addition to automatic installation of program registry, environment variables, configuration files, and related components. In particular, we design and implement a SOD system in Linux to provide the user with the instant look-and-click software execution environment such that software download and installation are internally proceeded in a completely user-transparent way. Therefore, the SOD system relieves the user from the tricky, failure-prone installation business. In addition, the software developer now obtains a new, powerful means to advertise and propagate their software products since the user can use software packages via user-friendly UI window or web browser by look-and-click interactive operation. In the paper, we also make a couple of SOD streaming experiments using a spectrum of popular softwares. Based on the analysis of the experiment results, we also propose two performance improvement schemes.

ULTC and Voltage Stability Analysis with use of IPLAN (IPLAN을 이용한 ULTC와 전압안정도 해석)

  • Hong, Young-Hwan;Baek, Young-Sik
    • Proceedings of the KIEE Conference
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    • 2004.11b
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    • pp.223-226
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    • 2004
  • This paper describers the power demand and the voltage stability in power system. Especially the power demand on summer is more and more increase in korea. According to load quantity is increasing voltage is getting down. And power system becomes unstable. So this paper is prevent voltage down using to ULTC modeling which is a part in a transformer. Therefore our purpose is power system stability increasing as variable state like a load increasing or a fault. Then this paper is using IPLAN and PSS/E as analysis tool. PSS/E is very powerful engine on load flow analysis. And IPLAN is capable of using on variable program compiling with user.

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Knowledge-based Video Retrieval System Using Korean Closed-caption (한국어 폐쇄자막을 이용한 지식기반 비디오 검색 시스템)

  • 조정원;정승도;최병욱
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.41 no.3
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    • pp.115-124
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    • 2004
  • The content-based retrieval using low-level features can hardly provide the retrieval result that corresponds with conceptual demand of user for intelligent retrieval. Video includes not only moving picture data, but also audio or closed-caption data. Knowledge-based video retrieval is able to provide the retrieval result that corresponds with conceptual demand of user because of performing automatic indexing with such a variety data. In this paper, we present the knowledge-based video retrieval system using Korean closed-caption. The closed-caption is indexed by Korean keyword extraction system including the morphological analysis process. As a result, we are able to retrieve the video by using keyword from the indexing database. In the experiment, we have applied the proposed method to news video with closed-caption generated by Korean stenographic system, and have empirically confirmed that the proposed method provides the retrieval result that corresponds with more meaningful conceptual demand of user.

Economic Value Analysis of Supercomputing Service for Small and Medium-sized Businesses (중소기업 슈퍼컴퓨팅 서비스의 경제적 가치 분석)

  • Kim, Jae-Sung;Lee, Sang-Min;Kim, Myung-Il;Jang, Jin-Gyu
    • IE interfaces
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    • v.23 no.4
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    • pp.319-326
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    • 2010
  • The SMB supercomputing service provides a supercomputing infrastructure for Small and Medium-sized Business (SMB) to enhance the efficiency of product development activity. In this study, the economic value of SMB supercomputing service is presented. The economic value of service is comprised of a direct and an indirect economic value. A direct economic value was estimated based on the result of user survey on service effectiveness. The input-output analysis method was adopted to estimate an indirect economic value induced from a direct economic value. The future economic value based on the result of user demand survey is also presented. As a result, the annual and future economic value of service were estimated about 55,215 million won and 323,928 million won, respectively.

Research on the Application of Gamification in Fitness App Based on Kano Model

  • Jing Ren;Chang-wook Lee
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.2
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    • pp.136-148
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    • 2024
  • In recent years, public attention to health and wellness issues has increased. The integration of smart fitness hardware and innovative technologies have made the development of smart fitness a trend. The number of fitness applications in the market has surged, and demand for an optimal experience is increasingly high. This study selects Sweatcoin, Home Workout, Six Pack in 30 Days, and Fitness Coach & Diet as research subjects from the top ten global mobile health and fitness apps in 2022 based on download rankings. The research is based on eight gamification elements: motivation, challenge, achievement, relationships, sharing, reward, level, and competition, identified through preliminary studies. We distributed a total of 166 questionnaires to users and collected 163 valid responses for data analysis. The Kano Model was used to study the desires of fitness enthusiasts using fitness apps. To reduce the limitations of the research results, the Better-Worse Method was employed for satisfaction index analysis. Based on the final analysis, we propose suggestions for improvement for the four fitness apps to better meet user needs and create a more attractive and efficient application experience.

A Study on the Quality Assessment of Baggage Handling System at Incheon International Airport - Using SERVQUAL Model - (인천국제공항 수하물처리시스템 서비스 품질 평가에 관한 연구 - SERVQUAL 모델을 적용하여 -)

  • Kim, Jong-Seo;Kim, Ha-Young;Park, Sung-Sik;Kim, Kee-Woong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.26 no.4
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    • pp.1-12
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    • 2018
  • Baggage Handling System(BHS) is an important element of ground operation services and the importance is further emphasized as air demand increases and passengers change. If there is a problem with departure baggage handling, the aircraft's gate occupancy time will be longer than the initial plan, resulting in congestion of the anchorage leading to final passenger terminal and mooring and road congestion and arrival or It is delayed until the processing of the baggage of the connecting flight and it can cause an economic loss such as confusion in the operation of the airport. The purpose of this study is to investigate the effect of the perception of service quality of BHS users on public Institutions performance through user satisfaction, user performance, and user loyalty. Analysis results using Structural Equation Model was suggested and its implication was discussed in the conclusion.

Performance Analysis on Strongest Channel Gain User for Intelligent Reflecting Surface NOMA

  • Kyuhyuk Chung
    • International journal of advanced smart convergence
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    • v.12 no.3
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    • pp.19-24
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    • 2023
  • Recently, fifth generation (5G) networks are being deployed in phases all over the world, the paradigm has shifted to developing the next generation wireless technologies, which have grown exponentially in last few decades, wireless networks are promising for the demand to enormous connections. Non-orthogonal multiple access (NOMA) and intelligent reflecting surface (IRS) are considered as the key technoloies for next-generation beyond 5G (B5G) and sixth generation (6G) networks, in which IRS can play an important advance in the wireless propagation environment, and NOMA can effectively increase massive connectivity to improve user fairness. In this paper, we analyze a performance on the strongest channel user in terms of achievable data rates numerically. Then, with the achievable data rates, the signal-to-noise ratio (SNR) gain is calculated for the IRS-NOMA network over the conventional NOMA network. As a consequence, IRS-NOMA schemes have been considered as some key technologies.