• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.32-42
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• 2015

In this paper, we considered the scenario that one cellular link and muti-D2D links share the same frequency resource which can improve the spectrum efficiency during uplink communication in LTE (Long Term Evolution)-Advanced network. In order to reduce the interference caused to the D2D users, we set DME (Discovery and Management Entity) which can send the area information to eNB(evolved Node B). We proposed a resource allocation scheme by using these assistant devices to reduce the interference that CUE (Cellular User Equipment) causes to DUE Rx (D2D UE Receiver). Basing on the area information, in order to mitigate the interference among the D2D pairs which share the same frequency resource, a power control scheme has been proposed. The simulation results prove that by using the DMEs, the proposed schemes improve the stability of D2D communication and bring the highest performance of the communication system when comparing to the other different schemes.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.3
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• pp.105-119
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• 2021

The purpose of this study is to examine the organizational politics, resistance change, turnover intention, and organizational commitment of organizational members during mergers and acquisitions. Recently, many companies are interested in mergers and acquisitions for business diversification and market extension. A merger is a legal consolidation of two entities into one, whereas an acquisition occurs when one entity takes ownership of another entity's stock, equity interests, or assets. This research model establishes a structural equation model. This model is set in a causal relationship between manager's organizational politics, peer organizational politics, and change resistance and the change resistance has a causal relationship of turnover and tissue immersion. In particular, this study will test different of organizational politics by position. Research results, the organizational politics of managers and colleagues have shown increasing change resistance. The change resistance has resulted in a reduction of organizational commitment and an increase of turnover intention. Next, the position analysis showed that top management level, middle management level, and working-level officials showed different organizational politics. The working-level officials are influenced by their manager politics and are influenced in organizational commitment and turnover intention by change resistance. The middle manager level is influenced by the organizational politics of bosses and colleagues, and organizational commitment is weakened by change resistance. The CEO level is not affected by organizational politics in the company, but the turnover intention is strengthened and the organizational commitment is weakened by the change resistance. This study has contributed to further updating the theory of organizational politics based on mergers and acquisitions. As a practical implication, we suggest an organizational integration strategy for a new organization.

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.175-199
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• 2019

Uncertainty means incomplete stages of knowledge of propositions due to the lack of consensus of information and existing knowledge. As the amount of academic literature increases exponentially over time, new knowledge is discovered as research develops. Although the flow of time may be an important factor to identify patterns of uncertainty in scientific knowledge, existing studies have only identified the nature of uncertainty based on the frequency in a particular discipline, and they did not take into consideration of the flow of time. Therefore, in this study, we identify and analyze the uncertainty words that indicate uncertainty in the scientific literature and investigate the stream of knowledge. We examine the pattern of biomedical knowledge such as representative entity pairs, predicate types, and entities over time. We also perform the significance testing using linear regression analysis. Seven pairs out of 17 entity pairs show the significant decrease pattern statistically and all 10 representative predicates decrease significantly over time. We analyze the relative importance of representative entities by year and identify entities that display a significant rising and falling pattern.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.67-77
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• 2019

Many small and medium-sized enterprises are deploying Smart Factory without due consideration of the circumstances in which the entity is in or outside of the entity, such as environmental changes and the capabilities of its members. Therefore, utilization and effectiveness are also low after deployment. This study verifies 'the establishment of a Smart Factory through the environmental factors and absorption capabilities of small businesses' through empirical research. The survey was received by people working for small and medium-sized companies that have established Smart Factory. The results of the study showed that first, environmental factors within and outside the company had a positive effect on the absorption capacity within the company. Second, the absorption capacity within a company has had a positive effect on the deployment of a Smart Factory. Based on the above proof, it has been proved to be effective if the core areas of the Smart Factory are built on the basis of the company's internal and external environmental factors and absorption capabilities when constructing Smart Factory in small businesses. In the future, we will study the achievements of smart factory construction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.901-904
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• 2014

As sensing techniques have advanced, context-aware technologies have been developed under the various domain for each different purpose. The number of services were created and are being used actually, but the services for specific spatial domain are not adequate yet. To solve this, there have been many efforts, and some of them were actually successful. Among them, the methods which used ontology-based inference were relatively reliable and appropriate for context-aware system, but not able to support contexts for individual without complex rules. In this paper, current scope of context inference is extended from user-oriented context modeling to entity-oriented. Furthermore, we used user profile and home profile to provide more specific context information of not only each individual but entity.

• Journal of the Korean Society for information Management
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• v.36 no.1
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• pp.73-94
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• 2019

The purpose of this study is to investigate the quality of service that affects satisfaction of special library users and to suggest ways to improve the function and role of special library. The data were collected by survey and interview method conducted with 111 library users in 6 local research institute using modified questionnaires based on LibQUAL+. The results revealed that human quality factor had more influence on library service satisfaction than space and information quality factor. Also, there were statistically significant influence between library service satisfaction and three sub service factors, such as service attitude, space convenience, and information usability. The interviewers indicated problems of special library service in lack of data, inactivation of digital data, space problem, data sharing problem, and lack of experts. Finally this study proposed several suggestions to improve service quality of special library of local autonomous entity research institution.

• Journal of Korean Society of Rural Planning
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• v.29 no.1
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• pp.59-68
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• 2023

Despite the serious problem of idle communal facilities in rural areas, previous studies focused on determining their status and grasping their current status rather than proposing fundamental solutions. The purpose is to suggest a direction for activating these facilities. To identify the key factors hindering the use of idle and under-utilized facilities in rural areas, a survey was conducted on three groups of interested parties, public officials, operators, and rural residents, to identify items that were effective and examine significant cognitive differences between the groups. Based on the results of the research analysis, it was concluded that although there are differences between the groups in the level of awareness, the causes of preventing facility utilization appear to be similar. Although local governments desire to avoid criticism for idleness, it was found that they are most aware of the limitations of administrative support. Even within the village, residents do not recognize the need for additional facilities unconditionally but do realize their own inadequacies. Thus, despite the differences among stakeholders, it was found that there is a consensus regarding the problem of idle communal facilities in rural areas. As a result, the operating entity is delegated to an individual rather than a joint entity so as to allow the facility to be operated responsibly, and local ordinances are enacted by a group of local officials in order to overcome administrative guidelines limitations. It is suggested that the main issue is securing manpower.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.17 no.2
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• pp.177-187
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• 1999

Up to date, in many application fields of GSIS, we usually have used vector-based spatial overlay or grid-based spatial algebra for extraction and analysis of spatial data. But, because these methods are based on traditional crisp set, concept which is used these methods. shows that many kinds of spatial data are partitioned with sharp boundary. That is not agree with spatial distribution pattern of data in the real world. Therefore, it has a error that a region or object is restricted within only one attribution (One-Entity-one-value). In this study, for improving previous methods that deal with spatial data based on crisp set, we are suggested to apply into spatial overlay process the concept of fuzzy set which is good for expressing the boundary vagueness or ambiguity of spatial data. two methods be given. First method is a fuzzy interval partition by fuzzy subsets in case of spatially continuous data, and second method is fuzzy boundary set applied on categorical data. with a case study to get a land suitability map for the development site selection of new town, we compared results between Boolean analysis method and fuzzy spatial overlay method. And as a result, we could find out that suitability map using fuzzy spatial overlay method provide more reasonable information about development site of new town, and is more adequate type in the aspect of presentation.

• Korean Journal of Artificial Intelligence
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• v.5 no.1
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• pp.18-28
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• 2017

Recently, there are many companies that use systems based on artificial intelligence. The accuracy of artificial intelligence depends on the amount of learning data and the appropriate algorithm. However, it is not easy to obtain learning data with a large number of entity. Less data set have large generalization errors due to overfitting. In order to minimize this generalization error, this study proposed DGA which can expect relatively high accuracy even though data with a less data set is applied to machine learning based genetic algorithm to deep learning based dropout. The idea of this paper is to determine the active state of the nodes. Using Gradient about loss function, A new fitness function is defined. Proposed Algorithm DGA is supplementing stochastic inconsistency about Dropout. Also DGA solved problem by the complexity of the fitness function and expression range of the model about Genetic Algorithm As a result of experiments using MNIST data proposed algorithm accuracy is 75.3%. Using only Dropout algorithm accuracy is 41.4%. It is shown that DGA is better than using only dropout.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.208-215
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• 1995

Numerous solution methods for scheduling problems such as part dispatching problem, operation sequence problem have been suggested as a means to be embedded in hierarchical or centralized shop floor control. Under the preceding control philosophies, however, response to changes in the shop floor status is quite slow and timely decision is sometimes impossible. Moreover, the control software becomes too large and it is almost impossible to modify the control software when the configuration of the shop floor changes. In agile manufacturing which emerged recently to cope with quick response and easy modifiability when unexpected changes occur, a new control policy is needed. CSCW[Computer Supported Cooperative Work] based shop floor control casts a different view on scheduling problems. Decisions are made locally when requested and useful information is scattered among agents for its efficient use. Adaptation is easy because agents are -'plug compatible or portable. In this paper, scheduling problems occurring under CSCW based shop floor control are identified and characterized. Traditional scheduling problems are reviewed from the CSCW viewpoint. All the control entities involved in the shop floor can be found and used to defined agents. With these entities and CSCW concept, possible scheduling problems are identified.