• 제목/요약/키워드: task-technology fit

검색결과 94건 처리시간 0.031초

패션 모바일 커머스 품질 평가에 대한 비즈니스 모델 연구 (A Study on the Business Model of Fashion Mobile Commerce by Quality Evaluation)

  • 나윤규
    • 패션비즈니스
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    • 제18권1호
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    • pp.1-21
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    • 2014
  • This study exceeds the view on the fragmentary fact-finding surveys related to the application of mobile commerce which further develops the evaluation model of fashion mobile commerce website and considers the validity of comprehensive fashion mobile commerce with quality evaluation factors according to the Task-Technology Fit. To fulfill the study objectives, a total of 433 questionnaires are being conducted to the customers with first-hand experience on fashion merchandises through mobile commerce. The judgement sampling method is employed according to the sample population ages from 20s to 30s during two months period. Based on the results of the above-mentioned path analysis, we have observed the following: First, the path relation analysis results show that the M-marketing (M-marketing) between perceived usabilities had effects to the perceived usability and the M-sales had effects to the perceived usability. Second, as seen from the fashion mobile shopping conformance (TTF), the perceived usability, customer satisfaction, and path pipe analysis result conformances between perceived values and immersions have effects of perceived usability, customer satisfaction and perceived value, and thus, indicate that the perceived usability had effects on the customer satisfaction and immersion. Third, the customer satisfaction, perceived value and immersion all have effects on the purchasing intention.

Application and Research of Monte Carlo Sampling Algorithm in Music Generation

  • MIN, Jun;WANG, Lei;PANG, Junwei;HAN, Huihui;Li, Dongyang;ZHANG, Maoqing;HUANG, Yantai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권10호
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    • pp.3355-3372
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    • 2022
  • Composing music is an inspired yet challenging task, in that the process involves many considerations such as assigning pitches, determining rhythm, and arranging accompaniment. Algorithmic composition aims to develop algorithms for music composition. Recently, algorithmic composition using artificial intelligence technologies received considerable attention. In particular, computational intelligence is widely used and achieves promising results in the creation of music. This paper attempts to provide a survey on the music generation based on the Monte Carlo (MC) algorithm. First, transform the MIDI music format files to digital data. Among these data, use the logistic fitting method to fit the time series, obtain the time distribution regular pattern. Except for time series, the converted data also includes duration, pitch, and velocity. Second, using MC simulation to deal with them summed up their distribution law respectively. The two main control parameters are the value of discrete sampling and standard deviation. Processing the above parameters and converting the data to MIDI file, then compared with the output generated by LSTM neural network, evaluate the music comprehensively.

Smart monitoring analysis system for tunnels in heterogeneous rock mass

  • Kim, Chang-Yong;Hong, Sung-Wan;Bae, Gyu-Jin;Kim, Kwang-Yeom;Schubert, Wulf
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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    • pp.255-261
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    • 2003
  • Tunnelling in poor and heterogeneous ground is a difficult task. Even with a good geological investigation, uncertainties with respect to the local rock mass structure will remain. Especially for such conditions, a reliable short-term prediction of the conditions ahead and outside the tunnel profile are of paramount importance for the choice of appropriate excavation and support methods. The information contained in the absolute displacement monitoring data allows a comprehensive evaluation of the displacements and the determination of the behaviour and influence of an anisotropic rock mass. Case histories and with numerical simulations show, that changes in the displacement vector orientation can indicate changing rock mass conditions ahead of the tunnel face (Schubert & Budil 1995, Steindorfer & Schubert 1997). Further research has been conducted to quantify the influence of weak zones on stresses and displacements (Grossauer 2001). Sellner (2000) developed software, which allows predicting displacements (GeoFit$\circledR$). The function parameters describe the time and advance dependent deformation of a tunnel. Routinely applying this method at each measuring section allows determining trends of those parameters. It shows, that the trends of parameter sets indicate changes in the stiffness of the rock mass outside the tunnel in a similar way, as the displacement vector orientation does. Three-dimensional Finite Element simulations of different weakness zone properties, thicknesses, and orientations relative to the tunnel axis were carried out and the function parameters evaluated from the results. The results are compared to monitoring results from alpine tunnels in heterogeneous rock. The good qualitative correlation between trends observed on site and numerical results gives hope that by a routine determination of the function parameters during excavation the prediction of rock mass conditions ahead of the tunnel face can be improved. Implementing the rules developed from experience and simulations into the monitoring data evaluation program allows to automatically issuing information on the expected rock mass quality ahead of the tunnel.

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대학도서관 인공지능 관련 교육콘텐츠 추천 시스템 사용의도에 관한 연구 - 대학생과 사서의 인식을 중심으로 - (A Study on the Intention to Use of the AI-related Educational Content Recommendation System in the University Library: Focusing on the Perceptions of University Students and Librarians)

  • 김성훈;박시온;박지원;오유진
    • 한국도서관정보학회지
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    • 제53권1호
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    • pp.231-263
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    • 2022
  • 인공지능에 대한 이해 및 업무분야에서의 활용 능력은 지식 정보화 시대를 살아가는 모든 사람에게 기본 역량으로 강조되고 있으며, 이에 따라 인공지능에 대한 교육의 필요성은 대학 구성원들에게도 높게 인식되고 있다. 국내외 대학도서관 역시 효과적인 인공지능 콘텐츠 제공의 필요성을 인식하여 전자 형태의 디지털 콘텐츠를 제공하고 있으나, 인공지능이라는 정보 기술에 특화된 이용자 맞춤형 추천은 제공되고 있지 않고 있으며 이러한 추천서비스에 대한 이용자의 관심 파악 역시 미비하다. 대학생의 인공지능 교육에 대한 수요가 증가하고 있는 상황에서, 대학도서관에서의 인공지능 관련 콘텐츠 추천에 대한 이용자의 이용의사를 파악하고 효과적인 서비스 수립을 위한 조사가 절실히 필요한 시점이다. 본 연구는 확장된 기술수용모델을 활용하여 인공지능 주제 분야에 특화된 디지털 교육 콘텐츠를 추천해주는 서비스에 대한 이용자들의 사용의도에 영향을 주는 요인을 도출하였으며, 대학생을 대상으로 한 온라인 설문조사, 대학도서관 사서들과의 서면인터뷰를 통해 각 요인별 영향력을 조사하고, 성공적 수행을 위한 제언을 수렴하였다. 연구결과, 인공지능관련 교육콘텐츠 추천시스템 사용의도는 성별, 학년, 전공계열에 상관없이 사용의사가 있다고 조사되었고, 과제적합성요인이 사용의도에 가장 영향을 미치는 요인임이 파악되었다. 사서들 또한 서비스의 필요성을 깊이 공감하고 있었고 현실적인 제약사항으로 예산과 콘텐츠 품질 문제를 제시하였다.

Defending the Indo-Pacific Liberal International Order: Lessons from France in Cold War Europe For Promoting Détente in Asia

  • Benedict E. DeDominicis
    • International Journal of Advanced Culture Technology
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    • 제11권2호
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    • pp.82-108
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    • 2023
  • As tension escalates between the US and China, scenarios for maintaining peace in Northeast Asia imply that secondary powers will perceive increasing incentives to reappraise their respective international roles. This analysis proposes that an analysis of France's Cold War role in Europe and the world under President Charles de Gaulle provides insights into conflict management in an increasingly multipolar international political environment. Their respective interests in preventing a so-called new Cold War emerging between the US and China include avoiding its excessive economic costs, if only because China is a massive trade partner. This study engages in theoretical framework-informed process tracing of de Gaulle's role. It explicates the assumptions that functionally underpinned de Gaulle's policy of soft balancing between the US and China. The analysis explores de Gaulle's contribution to the decay of the Cold War. It illuminates de Gaulle's contribution to a regional international environment that made West German Chancellor Willy Brandt's Ostpolitik strategy more feasible politically. This study applies these findings in the formulation of strategy recommendations focusing on Japan. Valid inferences regarding the predominant motivations driving American and Chinese international interaction are necessary for this task. To the extent to which the US and China have entered into a conflict spiral, Japan's hedging towards Washington is further incentivized. Tokyo would necessarily need to convince the Chinese that Japan is no longer Washington's unsinkable aircraft carrier off its coast. Tokyo, like de Gaulle's France, would maintain close relations with Washington, but it would need to project to its interlocutors its commitment to its own strategic autonomy. Tokyo's emphasis on closer relations with liberal democratic Indo-Pacific actors would potentially fit well with a commitment to strategic autonomy to defend the global liberal order.

정보시스템 품질이 감정노동 성과에 미치는 영향: 항공사 콜센터를 중심으로 (The Effects of Information Systems Quality on the Performance of Emotional Labors : Focused on the Airline Call Centers)

  • 박원희;김신곤;김창규
    • 한국산학기술학회논문지
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    • 제16권12호
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    • pp.8800-8811
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    • 2015
  • 콜센터 정보시스템에서 상담원은 고객과의 상호작용에서 매우 중요한 역할을 담당한다. 이러한 정보시스템을 효과적으로 유용하게 사용할 때 상담원의 업무 스트레스가 줄고, 이는 상담원의 감정노동을 감소시켜 개인과 조직의 성과를 향상시키는 결과로 이어진다. 최근 감정노동에 대한 논의가 활발하지만, 대표적인 감정노동 직군인 콜센터 상담원을 대상으로 한 상담원과 고객응대에 필수적인 정보시스템 간의 상호작용 효과에 대한 연구가 부족한 실정이다. 따라서 본 연구에서는 항공사 콜센터 정보시스템품질이 기대일치에 어떤 영향을 미치는지, 그리고 기대일치와 자기효능감이 감정노동성과에 어떠한 영향을 끼치는지 규명하고자 하였다. 콜센터 상담원 436명을 대상으로 분석한 결과, 이들에게 양질의 정보시스템을 제공할 때 직무에 대한 만족도와 자부심이 높아지고, 이는 감정노동의 강도를 낮추어 궁극적으로 서비스성과를 향상하는 것으로 나타났다. 본 연구의 시사점은 다음과 같다. 첫째, 항공사 콜센터 정보시스템 운영과 관련한 조직의 의사결정자에게 성공적인 콜센터 정보시스템 도입 및 확장을 위한 실무지침을 제공했다. 둘째, 본 연구에서 제안한 측정모형을 항공사 정보시스템에 적용 및 분석해 봄으로써 시스템 사용에 대한 점검 및 진단을 수행 할 수 있는 방안을 제시하였다. 마지막으로 이론적으로 구축된 항공사 콜센터 정보시스템과 측정모형에 대하여 측정항목 간 인과관계를 실증적으로 분석함으로써 콜센터 정보시스템의 성과측정을 위한 확고한 전략적 안목을 제시하였다.

Mixed-Integer Programming based Techniques for Resource Allocation in Underlay Cognitive Radio Networks: A Survey

  • Alfa, Attahiru S.;Maharaj, B.T.;Lall, Shruti;Pal, Sougata
    • Journal of Communications and Networks
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    • 제18권5호
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    • pp.744-761
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    • 2016
  • For about the past decade and a half research efforts into cognitive radio networks (CRNs) have increased dramatically. This is because CRN is recognized as a technology that has the potential to squeeze the most out of the existing spectrum and hence virtually increase the effective capacity of a wireless communication system. The resulting increased capacity is still a limited resource and its optimal allocation is a critical requirement in order to realize its full benefits. Allocating these additional resources to the secondary users (SUs) in a CRN is an extremely challenging task and integer programming based optimization tools have to be employed to achieve the goals which include, among several aspects, increasing SUs throughput without interfering with the activities of primary users. The theory of the optimization tools that can be used for resource allocations (RA) in CRN have been well established in the literature; convex programming is one of them, in fact the major one. However when it comes to application and implementation, it is noticed that the practical problems do not fit exactly into the format of well established tools and researchers have to apply approximations of different forms to assist in the process. In this survey paper, the optimization tools that have been applied to RA in CRNs are reviewed. In some instances the limitations of techniques used are pointed out and creative tools developed by researchers to solve the problems are identified. Some ideas of tools to be considered by researchers are suggested, and direction for future research in this area in order to improve on the existing tools are presented.

Activity-Action Diagram 기법을 활용한 한국형 화생방 교육훈련 프로그램 설계에 관한 연구 (A Study on the Design of CBRN Response Training Program in Korea Using Activity-Action Diagram Method)

  • Ham, Eun-Gu;Kim, Tae-Hwan
    • 한국재난정보학회 논문집
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    • 제10권1호
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    • pp.159-169
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    • 2014
  • 과학기술의 발달은 문명의 편리성을 동반하였으나 더불어 원자력 및 가스 등의 폭발, 유출사고 발생 그리고 세계각지에서 화생방 테러 발생 가능성을 가지고 있어 총괄적 대응노력이 국가적으로 시급한 과제로 대응하고 있다. 본 연구는 미국과 캐나다의 CBRN 교육프로그램을 조사 분석하여 우리나라 현실에 맞는 CBRN 교육훈련 프로그램을 개발하였다. 또한 한국형 화생방 교육훈련 프로그램 개발을 위하여 Activity-Action Diagram 기법을 활용 화생방 시나리오의 각 이벤트별로 대응 시 취해야 할 요구사항을 Activity로 정의하고 이의 세부적인 조치사항을 Action으로 정의하여 화생방 상황에 맞는 행동을 정의하여 실질적이고 체계적인 화생방교육훈련 프로그램을 제안함으로서 예방, 대응, 구조의 기능을 활성화하고 특히 CBRN 사태발생시 초기대응 교육훈련 프로그램을 구축하였다.

국내 습식 잠수복 생산 업체의 생산실태 조사 및 향후 연구과제 (Study on the wetsuit manufacturing status in Korea and future research task)

  • 신현숙;최인영
    • 한국의상디자인학회지
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    • 제23권3호
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    • pp.99-108
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    • 2021
  • The present study examines the overall manufacturing status of local wetsuit makers, problems in the manufacturing process, and future research tasks. The study revealed that most manufacturers use neoprene fabric of varying thickness, depending on the body part. Normally, 3 mm-thick fabric is utilized for high-activity body parts and 5 mm-thick fabric is used for high-activity areas requiring thermal insulation. In terms of the manufacturing method, the tools and manufacturing processes used by companies were found to be similar. However, because of the nature of wetsuits requiring a more complicated manufacturing method than that of general clothing, there were some differences in the manufacturing method processes from company to company, such as bonding and ease treatments. According to wetsuit manufacturers, they make incisions in consideration of the body's curvature and the overall shape and design of the wetsuit when developing patterns. For example, most answered that they preform the wrist and ankle parts, where the body's curvature is obvious. On the question regarding the "difficult manufacturing process", the most frequent response was the "bonding" process. Most manufacturers were found to focus on designs that can improve mobility and clothing fit, and commonly experienced low-order quantity as an operational difficulty. As for the question on the wetsuit-related technology needed in the future, the "development of various designs" was the most frequent answer, followed by the "development of lightweight and diverse materials".

이더넷 다중 클러스터에서 GHT의 병렬 분산 구현 (Parallel Distributed Implementation of GHT on Ethernet Multicluster)

  • 김영수;김명호;최흥문
    • 전자공학회논문지CI
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    • 제46권3호
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    • pp.96-106
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    • 2009
  • 이더넷 클러스터에서 그 분산처리 규모를 확장하려면 스위치 당 최대포트 수(현재 48포트)에 의해 물리적 제약을 받는다. 본 연구에서는 MPI기반 이더넷 클러스터에서 일반화 허프변환(generalized Hough transform: GHT)의 분산처리 규모를 확장하기 위해 다수의 이더넷 스위치들로 다중 클러스터를 구현하고, 확장에 따른 통신 부담을 병렬분산 시간분석 모델 및 통신성능 모델로 분석한 후 고속화 구현하였다. 다중 클러스터 분산처리환경에서 가능한 작업분할 정책들에 대해 평가하고, 허프공간 누산기 배열분할(accumulator array partitioning: AAP)정책을 수정 적용하여 노드간의 통신회수와 통신시간을 최소화하였고, 노드 수의 증가에 따라 AAP 정책의 분할 데이터 범위를 크게 하고 그에 부합하는 부하균형 알고리즘도 구현하였다. 단일링크 병목을 갖는 클러스터간(intercluster) 통신지연을 최대한 줄이기 위하여 일감 분배에는 선형 파이프라인 방송을 사용하고, 작은 결과 메시지들의 수합(gathering)에는 선형 플랫트리(flat tree)를 사용함으로써 총체적으로 계산과 통신을 최대한 시간 중첩시켰다. 제안한 병렬분산 GHT를 이더넷 다중 클러스터 상에서 그 성능을 점근해석하고 실험하여, 4개 고속 이더넷 스위치로 128 노드의 MPI 기반 다중 클러스터를 구현하여 거의 선형에 가까운 속도제고율(speedup)을 확인하였다.