• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.289-297
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• 2012

It is a recent trend to utilize a variety of visual tools(process map, mindmap, ERD) to create, when we create the design of information system or business models. Theses visual tool is standardized tools as process map or BPMN, on the other hand, there is also a non-standardized tools as mindmap. The utilization of the non-standardized tools as mindmap in startups is a increasing trend, because of the order the release of creative thinking to design new business model. Mindmaps can be divided into pen-based mindmap(of hand-written) and computer-based mindmap. This study was conducted under the premise of a different thinking pattern, when you take advantage of pen-based mindmap and computer-based mindmap. In other words, the pen-based mindmap is a tool for deductive reasoning and the computer-based mindmap is a tool would be more appropriate for inductive thinking. The purpose of this study is to investigate these relationships through experiments. In this study propose guidelines how visual tools, when designing a social media business models.

• Journal of the Ergonomics Society of Korea
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• v.30 no.1
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• pp.151-160
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• 2011

There have been many efforts to prevent accidents in Korea for the last 25 years. Many measures in the area of hardware sciences including electrical, mechanical, chemical engineering, etc. were applied to eliminate or at least reduce causes of accidents. However, the accidents rate has not been reduced much despite of these measures. This research aimed to find real causes of these accidents and to suggest a comprehensive model that can mainly be applied to industrial fields to find potential or existence of human errors during the pre-installation stage or after an accident. We tried to explain sequences of an operator's information process that might cause human errors on one hand, and life cycle stages of facilities involved when human errors occur on the other hand. With this comprehensive model presented in this research, one can follow up the sequence of human errors caused by operators. Further, errors made at the design stage which could be a main cause of accidents can be tracked. It is recommended that this comprehensive model should be used to prevent human errors in industrial fields since safety personnel can easily find out errors or error potentials through the life cycle stages of manmachine facilities.

• Journal of Information Processing Systems
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• v.1 no.1 s.1
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• pp.41-48
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• 2005

This paper presents the development of a morphological processor for the Mongolian language, based on the two-level morphological model which was introduced by Koskenniemi. The aim of the study is to provide Mongolian syntactic parsers with more effective information on word structure of Mongolian words. First hand written rules that are the core of this model are compiled into finite-state transducers by a rule tool. Output of the compiler was edited to clarity by hand whenever necessary. The rules file and lexicon presented in the paper describe the morphology of Mongolian nouns, adjectives and verbs. Although the rules illustrated are not sufficient for accounting all the processes of Mongolian lexical phonology, other necessary rules can be easily added when new words are supplemented to the lexicon file. The theoretical consideration of the paper is concluded in representation of the morphological phenomena of Mongolian by the general, language-independent framework of the two-level morphological model.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.49 no.5
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• pp.91-98
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• 2012

Since the major cellular data service providers in U.S, Japan as well as in Korea started the LTE (Long Term Evolution) service, there has been more strong need for the methods that can accurately measure the MIMO (Multi Input-Multi Output) OTA (Over The Air) performance of LTE handsets because the performance of the MIMO antenna determines the data throughput in the downlink. In this paper, the hand effect on the MIMO antenna performance is analyzed by numerically and experimentally. The hand effect on the LTE mobile handset is analyzed by measuring the link level performance in the MIMO OTA system.

• ETRI Journal
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• v.34 no.6
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• pp.932-941
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• 2012

A powerful interaction mechanism is one of the key elements for the success of smart TVs, which demand far more complex interactions than traditional TVs. This paper proposes a novel interface based on the famous touch interaction model but utilizes long-range bare hand tracking to emulate touch actions. To satisfy the essential requirements of high accuracy and immediate response, the proposed hand tracking algorithm adopts a fast color-based tracker but with modifications to avoid the problems inherent to those algorithms. By using online modeling and motion information, the sensitivity to the environment can be greatly decreased. Furthermore, several ideas to solve the problems often encountered by users interacting with smart TVs are proposed, resulting in a very robust hand tracking algorithm that works superbly, even for users with sleeveless clothing. In addition, the proposed algorithm runs at a very high speed of 82.73 Hz. The proposed interface is confirmed to comfortably support most touch operations, such as clicks, swipes, and drags, at a distance of three meters, which makes the proposed interface a good candidate for interaction with smart TVs.

• Proceedings of the KSR Conference
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• 2003.05a
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• pp.159-164
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• 2003

The purpose of this article is to comparatively depict the organizational effectiveness of two rail firms based on the cognitive response of employees(group of drivers). To attain this purpose, several aspects of current personnel and organization management system and organizational culture are surveyed through questionaire and analyzed by SPSS. The questionaire includes two parts of items. First, it includes items on personnel-related factors such as evaluation system, job, wage, role, leadership and job satisfaction. Second, it includes items on organizational culture model suggested by Rousseau. The major findings are : 1) In general, the cognitive response of drivers in two firms concerning personnel-related aspects is to a certain degree negative. 2) The cognitive response of drivers in two firms concerning culture-related aspects is also awfully negative. 3) Job satisfaction of drivers in the firm A is highly related to role and leadership factors in terms of personnel-related aspects, on the one hand, and to achievement factor in terms of culture, on the other hand. In case of the firm B, job satisfaction of drivers is highly related to personnel evaluation factor as well as role and leadership factors in terms of personnel-related aspects, on the one hand, and to affiliation, power, and bureaucracy factors in terms of culture, on the other hand.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.135-140
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• 2012

The mirror neuron system in the cerebrum, which are handled by visual information-based imitative learning. When we observe the observer's range of mirror neuron system, we can assume intention of performance through progress of neural activation as specific range, in include of partially hidden range. It is goal of our paper that imitative learning is applied to 3D vision-based intelligent system. We have experiment as stereo camera-based restoration about acquired 3D image our previous research Using Optical flow, unscented Kalman filter. At this point, 3D input image is sequential continuous image as including of partially hidden range. We used Hidden Markov Model to perform the intention recognition about performance as result of restoration-based hidden range. The dynamic inference function about sequential input data have compatible properties such as hand gesture recognition include of hidden range. In this paper, for proposed intention recognition, we already had a simulation about object outline and feature extraction in the previous research, we generated temporal continuous feature vector about feature extraction and when we apply to Hidden Markov Model, make a result of simulation about hand gesture classification according to intention pattern. We got the result of hand gesture classification as value of posterior probability, and proved the accuracy outstandingness through the result.

• Archives of Plastic Surgery
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• v.45 no.2
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• pp.111-117
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• 2018

Background Fat grafting, or lipofilling, represent frequent clinically used entities. The fate of these transplants is still not predictable, whereas only few animal models are available for further research. Quantum dots (QDs) are semiconductor nanocrystals which can be conveniently tracked in vivo due to photoluminescence. Methods Fat grafts in cluster form were labeled with cadmium-telluride (CdTe)-QD 770 and transplanted subcutaneously in a murine in vivo model. Photoluminescence levels were serially followed in vivo. Results Tracing of fat grafts was possible for 50 days with CdTe-QD 770. The remaining photoluminescence was $4.9%{\pm}2.5%$ for the QDs marked fat grafts after 30 days and $4.2%{\pm}1.7%$ after 50 days. There was no significant correlation in the relative course of the tracking signal, when vital fat transplants were compared to non-vital graft controls. Conclusions For the first-time fat grafts were tracked in vivo with CdTe-QDs. CdTe-QDs could offer a new option for in vivo tracking of fat grafts for at least 50 days, but do not document vitality of the grafts.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.105-120
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• 2007

The primary purpose of this study lies in developing an intelligence level measurement model which can be applied to information home appliances. To accomplish the study purpose, the literature on computer engineering and intelligence is comprehensively researched and critical elements necessary for measuring the intelligence of smart home appliances are extracted. Then an intelligence level measurement model is derived, and the model is validated by several academic and practical experts using Delphi technique. The measurement model developed in the study, on the one hand, can provide users with some objective standards to evaluate the intelligence level of smart home appliances. On the other hand, it can help home appliance product developers or related service providers decide the target intelligence level of the products or services more specifically. Consequently, the model can contribute to the revitalization of the smart home appliance industry as a whole.

• Journal of Korean Society of Forest Science
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• v.95 no.2
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• pp.203-208
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• 2006

This study compared the roundwood demand prediction accuracy of econometric and time-series models using Korean data. The roundwood was divided into softwood and hardwood by species. The econometric model of roundwood demand was specified with four explanatory variables; own price, substitute price, gross domestic product, dummy. The time-series model was specified with lagged endogenous variable. The dummy variable reflected the abrupt decrease in roundwood demand in the late 1990's in the case of softwood roundwood, and the boom of plywood export in the late 1970's in the case of hardwood roundwood. On the other hand, the prediction accuracy was estimated on the basis of Residual Mean Square Errors(RMSE). The results showed that the softwood roundwood demand prediction can be performed more accurately by econometric model than by time-series model. However, the hardwood roundwood demand prediction accuracy was similar in the case of using econometric and time-series model.