• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.11
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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.

• Proceedings of the CALSEC Conference
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• 2005.03a
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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.

• The KIPS Transactions:PartD
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• v.18D no.5
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• pp.329-338
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• 2011

Terminology recognition system which is a preceding research for text mining, information extraction, information retrieval, semantic web, and question-answering has been intensively studied in limited range of domains, especially in bio-medical domain. We propose a domain independent terminology recognition system based on machine learning method using dictionary, syntactic features, and Web search results, since the previous works revealed limitation on applying their approaches to general domain because their resources were domain specific. We achieved F-score 80.8 and 6.5% improvement after comparing the proposed approach with the related approach, C-value, which has been widely used and is based on local domain frequencies. In the second experiment with various combinations of unithood features, the method combined with NGD(Normalized Google Distance) showed the best performance of 81.8 on F-score. We applied three machine learning methods such as Logistic regression, C4.5, and SVMs, and got the best score from the decision tree method, C4.5.

• Journal of Technologic Dentistry
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• v.36 no.2
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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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• v.10 no.6
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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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.810-813
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• 2008

As you suddenly enlarged importance recognition of human traces capital as the sources of company competitiveness in the digital times, you reached, and necessity of human traces resources management system to more efficiently manage human traces resources was increased that you were competitive. A developed a small and medium enterprises e-HRM prototype system to reflect decision making to be effective by a weight grant-based evaluation management of various viewpoints and AHP at these papers as you used BSC as you applied performance rating criteria.

• Journal of Korean Society of Rural Planning
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• v.12 no.1 s.30
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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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• v.6 no.4
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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.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.133-159
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• 2016

The purpose of this study is to analyze related studies and domestic/international online reference cases, extract obstructive factors present in online reference services, and reveal whether or not there are differences in perception between the university librarian and the users. The results with respect to the failure of the resources revealed that while the user considers the quantitative / qualitative shortage of content as the greatest obstacle in the online reference service, librarians see the lack of human resources (Specialist Librarian / trained staff) in this light. Users think this is the least of the problems. In addition, other obstacles that are the most highly evaluated by librarians are, in order, the limitation of service because of copyright issues, the difficulty of information retrieval and complexity of methods of use, and a general lack of information in the reference services menu and missing information in the main menu. For the users the other most important obstacles were similar with the limitation of service because of copyright issues being highest, followed by the difficulty of access because of the confusion over service names, and the general lack of information in the reference services menu and missing information in the main menu.

• The Journal of Fisheries Business Administration
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• v.32 no.1
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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.