• 제목/요약/키워드: Service Classification Framework

검색결과 65건 처리시간 0.031초

A User-centered Classification Framework for Digital Service Innovation : Case for Elderly Care Service

  • Lim, Hong-Tak;Han, Jeong-Won
    • International Journal of Contents
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    • 제14권1호
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    • pp.7-11
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    • 2018
  • Digital technology has been changing everyday life of ordinary people let alone the structure of world industry. The elderly care service is also going through changes influenced by the unavoidable impact from torrents of digital technologies. There are numerous reports and news about the digital technologies increasing the efficiency and effectiveness of care service yet lacking systematic understanding of the sources of such improvement. This study aims to present a new classification framework for digital elderly care service innovation to fully utilize the power of digital technologies drawing on insights from innovation studies and service studies. First, 4 features of digital technologies are identified as sources of new value in service innovation. The co-creation of value by users and producers in service and technology development is discussed to illuminate users' contributions to service innovation. Communication of needs and ideas with producers and application of new technologies into everyday practice of life are identified as the source of new value which can be attributed to the elderly. Customization along with efficiency gains is the key to digital elderly care service innovation. The classification framework, thus, incorporates the needs of the elderly as one axis of criteria in the conventional technology-centered framework. The new classification framework would help give due weight to user-driven or demand-driven innovation in the elderly care service R&D activities.

유비쿼터스의 특성에 따른 사용자 중심의 u-서비스 가치 분류체계 (Proposing User-Oriented u-Service Classification by Ubiquitous Characteristic)

  • 우혁준;이정훈;박소연
    • 한국IT서비스학회지
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    • 제10권2호
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    • pp.119-139
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    • 2011
  • The concept of ubiquitous is being applied on diverse industry fields as a new growth engine in Korea. With constructing u-City, new services which are called 'ubiquitous services' are developed actively. Even though there are active movement to develop u-service, there is no clear definition of what service can be defined as ubiquitous service. Given that this study proposes a u-service value classification framework focusing on services' characteristics. We conducted experts' group interviews to analyze new operating or developing services whether it can be ubiquitous. Study results show that some services are hard to be defined as u-service, so this study offers possible improvement alternative. The u-service value classification which offers clear definition of u-service can be used for the practitioners offering measurement framework of u-service level.

An Exploratory Study on the Framework to Classify Social Commerce Models

  • Cho, Nam-Jae;Lee, Hyung-Ju;Oh, Seung-Hee
    • Journal of Information Technology Applications and Management
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    • 제19권1호
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    • pp.25-36
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    • 2012
  • Social Commerce recently attracted the attention of academic and industry researchers. Social Commerce aims to make a transactional environment which is beneficial to three parties-social commerce service provider, buyer and seller by way of using the platform of SNS. As Social Commerce is a new technology issue, there is no existing conceptual framework, e.g. appropriate classification the business types, that help to understand the nature of Social Commerce. This study suggests one classification framework and tries to verify whether it works.

A Development Method of Framework for Collecting, Extracting, and Classifying Social Contents

  • Cho, Eun-Sook
    • 한국컴퓨터정보학회논문지
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    • 제26권1호
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    • pp.163-170
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    • 2021
  • 빅데이터가 여러 분야에서 다양하게 접목됨에 따라 빅데이터 시장이 하드웨어로부터 시작해서 서비스 소프트웨어 부문으로 확장되고 있다. 특히 빅데이터 의미 파악 및 이해 능력, 분석 결과 등 총체적이고 직관적인 시각화를 위하여 애플리케이션을 제공하는 거대 플랫폼 시장으로 확대되고 있다. 그 중에서 SNS(Social Network Service) 등과 같은 소셜 미디어를 활용한 빅데이터 추출 및 분석에 대한 수요가 기업 뿐만 아니라 개인에 이르기까지 매우 활발히 진행되고 있다. 그러나 이처럼 사용자 트렌드 분석과 마케팅을 위한 소셜 미디어 데이터의 수집 및 분석에 대한 많은 수요에도 불구하고, 다양한 소셜 미디어 서비스 인터페이스의 이질성으로 인한 동적 연동의 어려움과 소프트웨어 플랫폼 구축 및 운영의 복잡성을 해결하기 위한 연구가 미흡한 상태이다. 따라서 본 논문에서는 소셜 미디어 데이터의 수집에서 추출 및 분류에 이르는 과정을 하나로 통합하여 운영할 수 있는 프레임워크를 개발하는 방법에 대해 제시한다. 제시된 프레임워크는 이질적인 소셜 미디어 데이터 수집 채널의 문제를 어댑터 패턴을 통해 해결하고, 의미 연관성 기반 추출 기법과 주제 연관성 기반 분류 기법을 통해 소셜 토픽 추출과 분류의 정확성을 높였다.

모바일 전자정부 서비스 유형분류에 따른 국내외 현황 분석 및 발전방향 (Mobile Government Service Classification and Policy Implications)

  • 서용원;김태하
    • 한국산학기술학회논문지
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    • 제11권4호
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    • pp.1475-1482
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    • 2010
  • 본 연구에서는 국내외 모바일 전자정부의 구축 사례를 비교분석하고 이를 바탕으로 모바일 전자정부의 발전 방향에 대한 시사점을 제시한다. 이를 위하여 모바일 전자정부 서비스의 유형 구분을 위한 프레임워크를 제시하였으며, 국내외 모바일 전자정부 구축 사례를 해당 프레임워크를 바탕으로 분석함으로써 모바일 전자정부 발전방향에 대한 정책적 시사점을 도출하였다. 이에 의거하여 본 연구에서는 모바일 전자정부의 추진 방향으로서 고객 중심의 업무프로세스 재설계, 사용자 중심의 모바일 포탈 재구성, 모바일 고유의 서비스 개발, 신기술 트렌드를 적용한 모바일 전자정부 서비스 개발, 고객으로부터의 피드백을 통한 선순환 및 모바일 보안의 강화를 제시하였다.

차세대 유무선통신망의 QoE 측정 및 관리를 위한 프레임워크의 제안 (A Framework of QoE Measurement and Management for Next Generation Wired/Wireless Communication Networks)

  • 장걸;김화종
    • 정보통신설비학회논문지
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    • 제9권1호
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    • pp.24-28
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    • 2010
  • The Quality of Experience (QoE) of next Generation wired/wireless network services based upon IP networking is becoming a popular issue in recent years. The user experience of Internet services such as IPTV, online game, web surfing and etc, are becoming the most desirable factors to service providers to improve service performance and customer's satisfaction. However, collecting user experience from customers and obtaining the QoE parameters from the Quality of Service (QoS) parameters such as bandwidth, delay, jitter or admission control algorithm, are difficult subjects because of the various service types and user characteristics. In this paper, we propose a framework which contains service classification, QoE analysis and service enhancement steps for a suitable QoE measurement and management protocol. We define the user satisfaction indicators of the Internet services, classify the categories of each type of services, and analyse the Key Performance Indicator (KPI) in each type of services to perform the QoS parameters and improving the service qualities.

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전자상거래 서비스상품 분류에 대한 연구 (Classification Framework for Services and Service Products in Electronic Commerce)

  • 조성의;박광태
    • Asia pacific journal of information systems
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    • 제12권3호
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    • pp.169-189
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    • 2002
  • In this study, we newly classify services and service products in EC into Mass Service, Interactive Service, Ordering Service, and Professional Service. For classification, five selected variables and two factorized dimensions such as 1) ease of on-line interaction and 2) needs of on-line interactions are used. On the result of classification, we investigate the relationships with customer purchase intentions in EC. For this purpose, customer surveys were conducted on the respondent groups who are known to be frequent purchasers in EC and have advanced knowledge on services and service products. The survey is analyzed by statistical methods such as factor score plot, cluster analysis, analysis of variance, etc.

An Anomaly Detection Framework Based on ICA and Bayesian Classification for IaaS Platforms

  • Wang, GuiPing;Yang, JianXi;Li, Ren
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권8호
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    • pp.3865-3883
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    • 2016
  • Infrastructure as a Service (IaaS) encapsulates computer hardware into a large amount of virtual and manageable instances mainly in the form of virtual machine (VM), and provides rental service for users. Currently, VM anomaly incidents occasionally occur, which leads to performance issues and even downtime. This paper aims at detecting anomalous VMs based on performance metrics data of VMs. Due to the dynamic nature and increasing scale of IaaS, detecting anomalous VMs from voluminous correlated and non-Gaussian monitored performance data is a challenging task. This paper designs an anomaly detection framework to solve this challenge. First, it collects 53 performance metrics to reflect the running state of each VM. The collected performance metrics are testified not to follow the Gaussian distribution. Then, it employs independent components analysis (ICA) instead of principal component analysis (PCA) to extract independent components from collected non-Gaussian performance metric data. For anomaly detection, it employs multi-class Bayesian classification to determine the current state of each VM. To evaluate the performance of the designed detection framework, four types of anomalies are separately or jointly injected into randomly selected VMs in a campus-wide testbed. The experimental results show that ICA-based detection mechanism outperforms PCA-based and LDA-based detection mechanisms in terms of sensitivity and specificity.

Distributed QoS Monitoring and Edge-to-Edge QoS Aggregation to Manage End-to-End Traffic Flows in Differentiated Services Networks

  • Kim, Jae-Young;James Won-Ki Hong
    • Journal of Communications and Networks
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    • 제3권4호
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    • pp.324-333
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    • 2001
  • The Differentiated Services (Diffserv) framework has been proposed by the IETF as a simple service structure that can provide different Quality of Service (QoS) to different classes of packets in IP networks. IP packets are classified into one of a limited number of service classes, and are marked in the packet header for easy classification and differentiated treatments when transferred within a Diffserv domain. The Diffserv framework defines simple and efficient QoS differentiation mechanisms for the Internet. However, the original Diffserv concept does not provide a complete QoS management framework. Since traffic flows in IP networks are unidirectional from one network point to the other and routing paths and traffic demand get dynamically altered, it is important to monitor end-to-end traffic status, as well as traffic status in a single node. This paper suggests a distributed QoS monitoring method that collects the statistical data of each service class in every Diffserv router and calculates edge-to-edge QoS of the aggregated IP flows by combining routing topology and traffic status. A format modeling of edge-to-edge Diffserv flows and algorithms for aggregating edge-to-edge QoS is presented. Also an SNMP-based QoS management prototype system for Diffserv networks is presented, which validates our QoS management framework and demonstrates useful service management functionality.

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멀티서비스를 제공하는 IP 네트워크에서의 링크용량 산출 기법 (A Capacity Planning Framework for a QoS-Guaranteed Multi-Service IP network)

  • 최용민
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2007년도 학술대회
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    • pp.327-330
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    • 2007
  • This article discusses a capacity planning method in QoS-guaranteed IP networks such as BcN (Broadband convergence Network). Since IP based networks have been developed to transport best-effort data traffic, the introduction of multi-service component in BcN requires fundamental modifications in capacity planning and network dimensioning. In this article, we present the key issues of the capacity planning in multi-service IP networks. To provide a foundation for network dimensioning procedure, we describe a systematic approach for classification and modeling of BcN traffic based on the QoS requirements of BcN services. We propose a capacity planning framework considering data traffic and real-time streaming traffic separately. The multi-service Erlang model, an extension of the conventional Erlang B loss model, is introduced to determine required link capacity for the call based real-time streaming traffic. The application of multi-service Erlang model can provide significant improvement in network planning due to sharing of network bandwidth among the different services.

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