• KIISE Transactions on Computing Practices
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• v.23 no.4
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• pp.226-231
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• 2017

Word representation, an important area in natural language processing(NLP) used machine learning, is a method that represents a word not by text but by distinguishable symbol. Existing word embedding employed a large number of corpora to ensure that words are positioned nearby within text. However corpus-based word embedding needs several corpora because of the frequency of word occurrence and increased number of words. In this paper word embedding is done using dictionary definitions and semantic relationship information(hypernyms and antonyms). Words are trained using the feature mirror model(FMM), a modified Skip-Gram(Word2Vec). Sense similar words have similar vector. Furthermore, it was possible to distinguish vectors of antonym words.

• Journal of the Korean association of regional geographers
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• v.20 no.1
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• pp.16-29
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• 2014

This study aims to suggest methods for improving innovation capability in Daegu-Gyeongbuk's mobile industry. Before offering suggestions, it analyzes the characteristics of technological innovation based on the mobile industry's value chain in Daegu-Gyeongbuk in relation to R&D workforce, R&D expenditures, and R&D networks. Support for R&D workforce in the Daegu-Gyeongbuk's mobile industry is concentrated in the mobile device and contents sectors. In addition, it is difficult for companies to finance R&D expenditures because most are SMEs, except for some large enterprises in the mobile device sector. R&D networks are structured mainly inside of companies, and linkages among universities, research institutes, and supporting institutes are weak in all sectors. To strengthen the innovation capability in Daegu-Gyeongbuk's mobile industry, therefore, human resource projects should be dispersed, and financial support should also be spread across value chain sectors rather than concentrated. Aside from this, a place for industry, academia, institutes, and government to build and enhance innovative networks should be created in all sectors.

• Korean Institute of Interior Design Journal
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• no.13
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• pp.187-196
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• 1997

A Study on the Characteristics of the Modern Chair Design The features of the modern chair design results from the diverse life style unfolded as per the 20th century social structure and the change of the residential space, and new design has been being developed by the scientists and the artists in various fields through their cooperated work in a way. The field of the scientific or technical study and creation of arts can be developed where they can evoke the sympathy in the circumstances under which the various styles of both arts and science meet across, complement crash together, and grow up. The operation which can control in the network of such pluralistic sphere has been needed for a long period and it has been facing the needs from a time and society. The engineering furniture as the counterplan of the above has brought the value of materials into relief to the forms of human life by making the properties of matter the maximum value or changing it. It can be summarized as following characteristics in its materials and forms along as well as the 3 types (handycrafty, mechanical, and ecological expression) in process through the 20th century. 1. Characteristics in Materials elasticity of the chair as per the changes of the flexibility in the steel pipe development of systematic chair using the plasticity of the plywood, plastic, and wire lightweight due to the materials such as aluminum. 2. Formative characteristics formative simplicity for the increase of the function and the quality improvement such as sociality, productivity, environmental and aesthetic nature emphasis on the structure as per the architectural environment and tecniques pursuit of the forms as a container of the human body seeking for the formative values as the cultural symbols coping with the needs from thepluralistic social structure Furniture is not the makeup for convenience sake but most importantexpression as necessaries of our environments. It should identify itself always as per these kind of needs and also it should be able to used to keep the relation of such mutual division, otherwise the purchase of new furniture should be necessary according to every change of the existing situatiov. Our residence doesn't need the specific style but expresses only the properties of the dwellers.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.3
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• pp.1-11
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• 2010

In this study, we studied strategic directions of urban management through evaluation the value of the investment with the consideration of the development plan, the condition of the location, the potential of the site, green and disaster prevention infrastructure, focused on Gugal-dong(Gugal Station area) and the region of Bora, Jung-dong, in Yongin city. In terms of the methodology, we tried to decide using Analytic Network Process which can consider the relation between the evaluation items. In conclusion, for the development plan, the order of evaluation items is development purpose, key tenant, fund raising and marketing, and for the condition of the location, the order of evaluation items is land use, surrounding environment, and traffic environment, and for the development potential, the order is marketability, identity, and historic character, and for the green and disaster prevention infrastructure, the order is prevention of human, natural, social disaster. The significance of the conclusion of this study is that it can be utilized in pre-evaluation in planning the urban development.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.25-33
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• 2017

An increase of the interaction speed can lead to the problem of over-relations. Due to psychological and temporal burdens caused by the excessive relationship, users feel fatigue and users are avoiding using SNS. SNS fatigue and SNS anxiety is regarded as SNS stress related to the side effects caused by the SNS use. This study is to approach negative view which is SNS stress and find out causes of stress from the over-relation of interaction. This study used total of 261 samples from Facebook users. As a results, all hypothesis are accepted using SEM(Structural Equation Model). Information sharing and communication have positive effect on social interaction overload and it causes technostress. The results of this study show that SNS characteristics occurs technostress. This study is significant in that it examines that the features of SNS have negative results.

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.280-291
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• 2018

Recently, various interactions have been actively conducted through sharing and expressing opinions among users in social networks. In this process, since malicious users and fault information spread misinformation, trust is reduced irrespective of their will. To solve this problem, studies have been conducted to determine the trust of a user through direct-connected users. In this paper, we propose a enhanced user indirect trust discrimination scheme considering the connection relation and influence of users. The proposed indirect trust computation scheme derives the user's area of interest through user interaction and reconstructs the existing network considering the user connection relationship. The final indirect trust is also detected by determining whether the user is a malicious user through the influence of the user. Through various performance evaluations, we show that the proposed scheme achieves better performance than the existing method.

• Tunnel and Underground Space
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• v.24 no.3
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• pp.234-242
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• 2014

Deep drilling project should be managed systematically and efficiently because it is significantly influenced by various related factors having uncertainty and high risk in terms of economy and effective management. In particular, drilling project involves participants from various sectors including necessary service company and it also needs their collaboration by sharing related information occurring at drilling process in order to secure efficient performance management. We developed 4D (3D + time) information based visualization system for progress management by combining 3D design model and predicted optimized control parameters for each section in geothermal well design. We also applied PDM (precedence diagramming method) to the system in order to setup the effective process model and hooked it up to 3D information based on precedence relation and required time for informatized process network.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.149-161
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• 2012

In the customer-centered world, which is used internet and social network services actively, it is important that their needs should be embraced into systems. Our study proposes a technique to normalize and select 1,800 customer's needs at C company. In order to normalize the requirements, we have specified requirements by considering a standard for requirements specification, have identified a set of keywords of requirements and have constructed a relation-graph of requirements. The graph presents objectives to design and build a system, and shows a degree of relative importance for each requirement. And then, we propose a techniques for requirements selection according to their contribution points, which are calculated using relative degree. We demonstrates our techniques by a case study of C company.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.11B
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• pp.1573-1582
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• 2001

In this paper we analyze the main resources of error in GEO-satellite STFS(Standard Time & frequency Signal) dissemination system. For the case of small countries like Korea, we compare GEO-satellite STFS dissemination technique with the terrestrial network or with the GPS using LEO-satellites, and analyze its advantages over the forementioned systems. We also introduce the GEO-satellite STFS dissemination systems which are being developed or in service. Particularly, we put much efforts to develop the synchronization error calibration technique required to provide a highly accurate STFS service via KoreaSAT. We then propose the differential mode technique as the most effective and efficient calibration technique for mitigating errors in GEO-satellite STFS dissemination systems, and analyze its performance via computer simulation. We also analyze the relation between time accuracy and frequency accuracy. Our experimental results show that the time accuracy is better than 100 ns and the frequency accuracy is better than 10-13 over 7 days all around Korea peninsula. Finally, we propose methods to improve the performance of STFS dissemination system, and demonstrate that the proposed methods result in more accurate synchronization of GEO-satellite STFS.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.433-436
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• 2004

In this paper, we introduce a new Fuzzy Polynomial Neural Networks (FPNNS)-like structure whose neuron is based on the Fuzzy Set-based Fuzzy Inference System (FS-FIS) and is different from that of FPNNS based on the Fuzzy relation-based Fuzzy Inference System (FR-FIS) and discuss the ability of the new FPNNS-like structure named Fuzzy Set-based Polynomial Neural Networks (FSPNN). The premise parts of their fuzzy rules are not identical, while the consequent parts of the both Networks (such as FPNN and FSPNN) are identical. This difference results from the angle of a viewpoint of partition of input space of system. In other word, from a point of view of FS-FIS, the input variables are mutually independent under input space of system, while from a viewpoint of FR-FIS they are related each other. The proposed design procedure for networks architecture involves the selection of appropriate nodes with specific local characteristics such as the number of input variables, the order of the polynomial that is constant, linear, quadratic, or modified quadratic functions being viewed as the consequent part of fuzzy rules, and a collection of the specific subset of input variables. On the parameter optimization phase, we adopt Information Granulation (IC) based on HCM clustering algorithm and a standard least square method-based learning. Through the consecutive process of such structural and parametric optimization, an optimized and flexible fuzzy neural network is generated in a dynamic fashion. To evaluate the performance of the genetically optimized FSPNN (gFSPNN), the model is experimented with using the time series dataset of gas furnace process.