• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5404-5424
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• 2018

This work is mainly focused on two major topics in cloud platforms by using OpenStack as a case study: management and provisioning of resources to meet the requirements of a service demanded by remote end-user and relocation of virtual machines (VMs) requests to offload the encumbered compute nodes. The general framework architecture contains two subsystems: 1) An orchestrator that allows to systematize provisioning and resource management in OpenStack, and 2) A resource utilization based subsystem for vibrant VM relocation in OpenStack. The suggested orchestrator provisions and manages resources by: 1) manipulating application program interfaces (APIs) delivered by the cloud supplier in order to allocate/control/manage storage and compute resources; 2) interrelating with software-defined networking (SDN) controller to acquire the details of the accessible resources, and training the variations/rules to manage the network based on the requirements of cloud service. For resource provisioning, an algorithm is suggested, which provisions resources on the basis of unused resources in a pool of VMs. A sub-system is suggested for VM relocation in a cloud computing platform. The framework decides the proposed overload recognition, VM allocation algorithms for VM relocation in clouds and VM selection.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2005년도 e-Biz World Conference 2005
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• pp.55-61
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• 2005

We will introduce a new web-based knowledge management system in progress, in which XML-based web information extraction and our structuring knowledge technologies are combined using ontology-based natural language processing. Our aim is to provide efficient access to heterogeneous information on the web, enabling users to use a wide range of textual and non textual resources, such as newspapers and databases, effortlessly to accelerate knowledge acquisition from such knowledge sources. In order to achieve the efficient knowledge management, we propose at first an XML-based Web information extraction which contains a sophisticated control language to extract data from Web pages. With using standard XML Technologies in the system, our approach can make extracting information easy because of a) detaching rules from processing, b) restricting target for processing, c) Interactive operations for developing extracting rules. Then we propose a structuring knowledge system which includes, 1) automatic term recognition, 2) domain oriented automatic term clustering, 3) similarity-based document retrieval, 4) real-time document clustering, and 5) visualization. The system supports integrating different types of databases (textual and non textual) and retrieving different types of information simultaneously. Through further explanation to the specification and the implementation technique of the system, we will demonstrate how the system can accelerate knowledge acquisition on the Web even for novice users of the field.

• 정보처리학회논문지D
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• 제18D권5호
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• pp.329-338
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• 2011

문헌에서의 전문용어 인식 연구는 정보검색, 정보추출, 시맨틱 웹, 질의응답 분야 등의 연구를 위한 선행 연구로서, 지금까지 대부분 특정 분야, 특히 생의학 분야에서 집중되어 연구되어 왔다. 그러나 기존 연구들이 특정 도메인 또는 문헌 내부 통계 정보를 활용함으로써 범용적인 전문용어 인식에 한계점을 보여 왔기 때문에, 본 연구에서는 웹 검색 결과와 사전, 후보용어의 문형 특징 등을 활용하는 기계 학습 기반 범용 전문용어 인식 방법을 제안하였다. 제안한 방법을 문헌의 지역 통계 정보를 사용하는 방법(C-value)과 비교 실험하여 80.8%의 F-값으로 6.5%의 성능향상을 보였다. 다양한 응집도 자질들을 접목한 두 번째 실험에서는 Normalized Google Distance 방법과 접목한 방식이 F-값 81.8%의 성능으로 최고의 성능을 나타냈다. 기계 학습 방법으로는 로지스틱 회귀분석, C4.5, SVMs 등을 적용하였는데, 일반적으로 이진 분류에 좋은 성능을 보이는 SVMs과 로지스틱 회귀분석 방법보다 결정 트리 방식의 C4.5가 전반적으로 좋은 성능을 보였다.

• 대한치과기공학회지
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• 제36권2호
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• pp.119-128
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• 2014

Purpose: This study has been carried out to help to enhance the measures of interprofessional collaboration between Dental personnel and dental technicians, and between dental technicians themselves through the analysis of recognition of interprofessional collaboration between dental technicians. Methods: The subjects in this study were 130 dental technicians who were self-written questionnaire. The results were analyzed by SPSS 12.0. The collected data was analyzed by frequency and Correlation. Results: As a result of examining the correlation analysis of each question to explore the factors that affect interprofessional collaboration recognition of dental technicians, the group which received criticism from dental personnel showed negative (-) correlation in the interprofessional collaboration recognition (p<0.05). The following groups showed positive (+) correlations in the recognition of interprofessional collaboration : the group who replied that they can utilize information on the patients associated with the prosthesis production (p<0.01); the group who thinks that they are sharing common goals (P<0.01); and the group who replied that Dental personnel are familiar with patients (p<0.01). The following groups also showed higher positive (+) correlations in the recognition of interprofessional collaboration : the group who replied that they frequently discuss patient's information with Dental personnel (p<0.01); the group who thinks they have mutual confidence in one another (p<0.01); the group who thinks that cooperation among their colleagues in dental technique laboratories are being done well (p<0.01); and the group that has high job satisfaction (p<0.01). Conclusion: Effective communication and team work between human resources for providing medical service of the facility are essential for safe and high-quality medical service to patients. Further, such elements are directly connected to efficiency of the entire team. The reliability between dental technician and Dental personnel for cooperation should not be neglected therefore continuous interests in inter-cooperative partnership is required.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권6호
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• pp.2527-2545
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• 2016

Measuring the similarity of given samples is a key problem of recognition, clustering, retrieval and related applications. A number of works, e.g. kernel method and metric learning, have been contributed to this problem. The challenge of similarity learning is to find a similarity robust to intra-class variance and simultaneously selective to inter-class characteristic. We observed that, the similarity measure can be improved if the data distribution and hidden semantic information are exploited in a more sophisticated way. In this paper, we propose a similarity learning approach for retrieval and recognition. The approach, termed as LDA-FEK, derives free energy kernel (FEK) from Latent Dirichlet Allocation (LDA). First, it trains LDA and constructs kernel using the parameters and variables of the trained model. Then, the unknown kernel parameters are learned by a discriminative learning approach. The main contributions of the proposed method are twofold: (1) the method is computationally efficient and scalable since the parameters in kernel are determined in a staged way; (2) the method exploits data distribution and semantic level hidden information by means of LDA. To evaluate the performance of LDA-FEK, we apply it for image retrieval over two data sets and for text categorization on four popular data sets. The results show the competitive performance of our method.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 추계종합학술대회 B
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• pp.810-813
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• 2008

디지털시대에 기업경쟁력의 원천으로서 인적자본의 중요성 인식을 급격히 확대하기에 이르렀고 경쟁력 있는 인적자원을 보다 효율적으로 관리하기 위한 인적자원관리시스템의 필요성이 증대되었다. 본 논문에서는 BSC(Balanced ScroreCard)를 이용하여 인사고과 척도를 적용하여 다양한 관점의 평가관리와 AHP(Analytic Hierarchy Process) 기반의 가중치 부여로 효과적인 의사결정을 반영하는 중소기업형 e-HRM 프로토타입 시스템을 개발하였다.

• 농촌계획
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• 제12권1호
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• pp.67-74
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• 2006

This survey was carried out in order to obtain and apply the basic information on levels of raising skill, recognition of mutual infection between animal and human field of skill training, registration of animal pedigree, mating places, difficulties of raising, channel of marketing, and prospects of raising by socio-ecological status. Data were randomly gathered from 713 peoples, who composed of 398 men and 315 women, from March to August, 2005. As the results, questionnaires were analyzed that relatively 'the level of breeding skill is middle(43.9%)'. The average score for skill level is 1.81$\pm$0.79 when 4 points were used as a full mark. The recognition of mutual infection between human and animal is answered that 'many respondents don't know very well(62.6%)'. The questionnaire answered largely that 'the field of raising skill training is trimming and grooming(29.2%)'. The respondents recognized that 'The pedigree registration of pet is not essential(52.7%)'. The pet breeders answered that 'the mating for reproduction was conducted mainly in pet shops(34.3%)'. The breeders indicated mostly that 'the difficulties of raising were technical skills of raising(53.5%)'. The respondents answered that 'the deal of marketing of animal was mainly achieved through neighbors and close relatives(42.8%)'. The many questionnaires were recognized that 'breeders have a good prospect for the pet industry in the future(51.5%)'.

• Water Engineering Research
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• 제6권4호
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• pp.149-159
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• 2005

With increasing recognition on conservation of endangered species in Taiwan, one of the major conservation projects is the habitat restoration of Formosan Landlocked Salmon which is major threatened by check dams in the channel for their blockading pathway to upstream and causing the problems of population isolation and close-blood mating. By creating an opening in the central dam body appropriately, partial removal dams can provide pathway for the fish for the better upstream channel habitat. Four check dams at Gau-Shan Creek were remodeled between April of 1999 and September of 2002 with information supported from model experiments under certain hydraulic condition of field environment. Based on the follow-up investigation, the channel morphology of observation sections is in stable condition and the total number of Formosan Landlocked Salmon in this creek increased promptly at the reach containing partial-removed dams.

• 한국문헌정보학회지
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• 제50권1호
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• pp.133-159
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• 2016

본 연구에서는 문헌분석을 포함하여 국내외 온라인참고서비스 사례를 집중적으로 분석하였고, 온라인참고서비스 상에서 발생할 수 있는 모든 장애요인을 종합적으로 도출하여 대학도서관 사서 및 이용자들을 대상으로 설문을 수행함으로써 집단간 인식차이가 있는지를 밝혀내고자 하였다. 그 결과, 자원부분의 장애요인으로 이용자는 콘텐츠의 질적 양적 부족을 가장 큰 장애요인으로 생각하고 있는 반면에 이용자가 가장 낮은 비율로 문제를 인식하고 있는 인적자원 부족(주제전문사서/훈련된 직원의 부족)을 사서는 가장 큰 장애요인으로 인식하고 있는 것으로 나타났다. 또한 서비스 부분의 장애요인에 대해 온라인참고서비스 제공시 장애요인으로 사서가 가장 높게 인지하고 있는 요인은 저작권 문제로 서비스제공의 제한, 정보검색의 어려움 및 이용방법의 복잡함, 메뉴의 통일성 결여 및 참고서비스에 대한 주메뉴 누락 순으로 나타났고, 이용자는 저작권 문제로 서비스제공의 제한, 명칭의 혼재로 접근의 어려움, 메뉴의 통일성 결여 및 참고서비스에 대한 주메뉴 누락 순으로 나타나 집단간 차이가 있는 것으로 나타났다.

• 수산경영론집
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• 제32권1호
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• pp.99-123
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• 2001

The relatively recent emphasis on a total allowable catch(TAC) system is placing new demands on fisheries management. Korean fisheries law has provided recently for implementation of the TAC based on fishery management system, in order to conserve and manage fisheries resources rationally in its exclusive economic zone(EEZ). In 1998, the TAC system was first applied to Korean fisheries. This TAC system is currently undergoing a second trial period, having been put under the system for 20012002 and continuous trial basis until the complete settlement of EEZ system agreement among three countries, Korea, China and Japan. The TAC system implementation needs are sophisticated information collection, analysis and modeling that will continue to increase and require the high management resources. In addition, data on social and economic impacts on TAC system is sometimes inadequate. The implementation of the TAC system provides a unique opportunity to examine the limits of management information and resources, and to solve the problems in Korean fisheries management system, These limits and problems are complicated by an inadequate biologically and economically information and insufficient management resources. Government and fisheries cooperatives must be cooperated in the management process in order to minimize its conflicts and maximize commitment to sustain fishery development. Recognition of the ineffectiveness and its potential consequences leads to the adoption of the cooperative-based co-management approach in implementation of TAC system. In 1998, the TAC system was first applied to Korean fisheries, where traditional fishery management has consisted mainly of technical measures and input controls. The QMS of TAC system has been implemented in the form of cooperative-based co-management framework. This QMS framework was chosen to overcome many difficulties and limits that a competitive TAC system would impose on Korean traditional fisheries management. The implementation of the QMS of TAC system provides a unique opportunity to examine the limits of management information and resources, and to solve the problems in Korean fisheries management system.