• Proceedings of the Acoustical Society of Korea Conference
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• 1995.06a
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• pp.184-187
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• 1995

This paper proposes an algorithm for machine recognition of phonemes in continuous speech. The proposed algorithm is static strategy neural network. The algorithm uses, at the stage of training neuron, features such as PARCOR coefficient and auditory-like perceptual liner prediction . These features are extracted from speech samples selected by a sliding 25.6msec windows with s sliding gap being 3 msec long, then interleaved and summed up to 7 sets of parmeters covering 171 msec worth of speech for use of neural inputs. Perfomances are compared when either PARCOR or auditory-like PLP is included in the feture set.

• Proceedings of the KIPE Conference
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• 1998.10a
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• pp.293-297
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• 1998

This paper presents a newly developed speed sensorless drive using RLS based on Neural Network Training Algorithm. The proposed algorithm has just the time-varying learning rate, while the wellknown back-propagation algorithm based on gradient descent has a constant learning rate. The number of iterations required by the new algorithm to converge is less than that of the back-propagation algorithm. The theoretical analysis and experimental results to verify the effectiveness of the proposed control strategy are described.

• Proceedings of the Korea Database Society Conference
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• 1995.12a
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• pp.153-162
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• 1995

Network를 통하여 분산되어 있는 멀티미디어PC들의 사용자간에 개별/공동학습 및 저작을 지원하기 위한 CSCW모형에 대하여 논한다. 이 응용 모형은 사용자나 저작자들이 어떻게 협력할 수 있는지, 다사용자 간의 상호작용을 지원할 수 있는 모드에는 어떤 것이 있는지를 기술한다. 또한 통신과 협력기능을 갖는 하부구조를 기반으로 멀티미디어 인터페이스를 통한 공유작업공간을 구축하고, 헙력하여 복잡한 문제를 해결하는 환경 설계에 대하여 논한다.

• Proceedings of the Korea Database Society Conference
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• 1998.09a
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• pp.83-98
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• 1998

Who needs Media Asset Management？ ◆ Publishers ◆ Any company publishing newspapers, magazines, catalogs or web sites. ◆ Content Creators ◆ Companies who create content for use in their business ◆ Broadcasters, Advertising Agencies, Studios, Sports Houses (NBA, NFL), Corporate Training Depts, Retailers ◆ Content Distributors ◆ Cable Operators, Telecoms, Internet Service Providers, Online Service Providers Who needs Media Asset Management？ ◆ There's a LOT of money being spent on this kind of technology, and not just by 'media' companies ◆ Retailers, for catalogs, web sites, call centers ◆ Chems/Pharms, for drug. discovery, knowledge management ◆ Legal, for document and knowledge management ◆ Federal, for video surveillance and knowledge management ◆ Manufacturing, for integration of CAD, text and business-to-business applications ◆ Anyone with a Web/Content Management challenge(omitted)

• Journal of Korean Society for Quality Management
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• v.27 no.1
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• pp.223-231
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• 1999

The concept of six sigma was introduced at and popularized by Motorola in its quest to reduce defects of manufactured electronics products. When used as a metric, six sigma technically means having no more than 3.4 defects per million opportunities in any process, product, or service. More important than the technical definition is the concept of six sigma as a disciplined, quantitative approach for improvement of defined metrics in manufacturing, service, or financial processes. This approach derives the overall process of selecting the right projects based on their potential to improve performance metrics and selecting and training the right people to get the business results.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.299-309
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• 2022

Human factor represents a very challenging issue to organizations. Human factor is responsible for many cybersecurity incidents by noncompliance with the organization security policies. In this paper we conduct a comprehensive review of the literature to identify strategies to address human factor. Security awareness, training and education program is the main strategy to address human factor. Scholars have consistently argued that importance of security awareness to prevent incidents from human behavior.

• Korean Journal of Community Nutrition
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• v.19 no.1
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• pp.51-59
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• 2014

The current exploratory study presents the Analytical Hierarchy Process (AHP) as a potential decision-making method to obtain the relative weights of alternatives through pairwise comparison in the context of hierarchical structure. The aim of this study was to elicit prior strategy to improve army military foodservice. Content analysis and seven times of in-depth interview from 13 officers of the Ministry of National Defense were conducted to develop the hierarchical structure for AHP analysis. Questionnaires were distributed to 61 foodservice managers and 39 dietitian and military foodservice officers. The highest-ranked strategy for improving military foodservice was the 'renewal of the kitchen facilities' (0.2578), followed by 'enlargement of foodservice operating staffs' (0.2345), 'specialization of sanitation & foodservice management' (0.2222), 'Practical foodservice budget control' (0.1394), and 'menu variety & standardized recipe' (0.1281). 'Enlargement of foodservice facilities' (0.3995), 'increase the no. of kitchen police' (0.3463), 'sanitary & cooking training reinforcement of kitchen police' (0.4445), 'management of foodservice budget by total amount' (0.5043), and 'standardization of mass cooking' (0.3571) were the highest overweight item in each strategy. The study also compared the relative weights of alternatives of foodservice managers with that of dietitians and military foodservice officers. Those two groups revealed some difference in their priority of important strategy regarding army military foodservice. The results of this study would provide the data for making a policy or compilation of the budget regarding army military foodservice.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.46-54
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• 2020

This study aims to develop and analyze the performance of a selective option straddle strategy based on forecasted volatility to improve the weakness of typical straddle strategy solely based on negative volatility risk premium. The KOSPI 200 option volatility is forecasted by the SVM model combined with the asymmetric volatility spillover effect. The selective straddle strategy enters option position only when the volatility is forecasted downwardly or sideways. The SVM model is trained for 2008-2014 training period and applied for 2015-2018 testing period. The suggested model showed improved performance, that is, its profit becomes higher and risk becomes lower than the benchmark strategies, and consequently typical performance index, Sharpe Ratio, increases. The suggested model gives option traders guidelines as to when they enter option position.

• Korea Journal of Hospital Management
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• v.7 no.3
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• pp.63-83
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• 2002

This study is to survey the materials purchasing and inventory management status and the characteristics and opinions of the staff in charge of purchasing and inventory of the general hospitals in Busan area in order to contribute to the rationalization of its management through the grasp of actual situation and the presentation of desirable improvement plan for the materials purchasing and inventory management. The status of medical institute had been surveyed by the purchasing/ administration managers of total 26 general hospitals, and the purchasing/ management questionnaires had been commenced with 86 staff of the 26 hospitals. Its major survey results, after the analysis of 24 medical institute statuses (return rate of 92.30%) and 60 staff questionnaires (return rate of 69.76%), are as follows. First, post-purchasing evaluation system is not used actively, orders are being placed by phone or fax, and general merchandise is being purchased through free contracts in most of the hospitals participated in the survey. Second, as per the materials supplying methods, the requisition and delivery system is currently the most popular in the hospitals surveyed, however, both the requisition and delivery system and the par level transfer system are the most desired in the hospitals of more than 500 beds, and the par level transfer system is the most desired in the hospitals under 500 beds for the materials supplying system in the future. Third, as per the inventory management system that is desired the most in the future, the SPD and JIT types are preferred in the hospitals of more than 500 beds, the stockless strategy is preferred in the hospitals under 500 beds, the senior staff above section chief grade prefer the stockless strategy, and the junior staff prefer the ABC classification and SPD types. Fourth, The necessity of purchasing staff's training for the materials management is highly recognized but the effectiveness is not so much acknowledged, which is because such a training is thought to be so superficial and formal that it is not helpful much in the actual field. When summarizing the survey results as above, the materials purchasing and management system is differed for each group of hospitals according to the size of beds, and the more scientific management system is largely required by the general hospitals in Busan city. They also hope the introduction of joint purchasing system, materials management by the bar-code system, and positive execution of the market survey and training of the relevant staff for the management of purchasing affairs. So the more systematic purchasing and inventory management is regarded to be necessary through the introduction of scientific and specialized education of materials management, market survey, and post-purchasing evaluation system also through the computerization of materials purchasing and inventory management as soon as possible.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.7
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• pp.191-198
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• 2021

Since the size of training dataset become large and the model is getting deeper to achieve high accuracy in deep learning, the deep neural network training requires a lot of computation and it takes too much time with a single node. Therefore, distributed deep learning is proposed to reduce the training time by distributing computation across multiple nodes. In this study, we propose hybrid allreduce strategy that considers the characteristics of each layer and communication and computational overlapping technique for synchronization of distributed deep learning. Since the convolution layer has fewer parameters than the fully-connected layer as well as it is located at the upper, only short overlapping time is allowed. Thus, butterfly allreduce is used to synchronize the convolution layer. On the other hand, fully-connecter layer is synchronized using ring all-reduce. The empirical experiment results on PyTorch with our proposed scheme shows that the proposed method reduced the training time by up to 33% compared to the baseline PyTorch.