• Journal of Digital Convergence
• /
• v.11 no.4
• /
• pp.197-207
• /
• 2013

The purpose of this study is to analyze the effect of controlling consulting service quality in relation to the factors of success and performances of the social enterprises. In order to achieve the objective of this study, securement of market competitiveness, entrepreneurship and network activity was defined to be the factors of success and the research model and hypothesis was set according to the theoretical basis of the factors of success, performances and the quality of consulting services. The results showed that first, securement of market competitiveness, entrepreneurship and network activities as factors of success all had significant effects on performances pertaining to both profit-making and public interest, having great influence on the securement of market competitiveness of the social enterprises. Secondly, as a result of analyzing the effects of controlling the quality of consulting services in relation to the relationship between the factors of success and management performances of the social enterprises, network activity showed to have significant effect on performances pertaining to both profit-making and public interest. Through this study, the importance and the necessity of the improvement of consulting services and network activities of social enterprises were highlighted and the necessity of a new consulting principle in the consulting industry that can be specialized to social enterprises is proposed.

• Journal of The Korean Association of Information Education
• /
• v.20 no.6
• /
• pp.563-574
• /
• 2016

This paper is a research on the curriculums of network and digital creation tools among SW education in order to apply them to SW curriculum in education fields. For doing so, a curriculum model was developed by extracting main key words through the analyses of domestic and foreign SW curriculum, and reorganization of concept understanding and learning activity elements was made so as to be fit to characteristics of each curriculum. And curriculums were remodeled by curriculum such like concept understanding was focussed in network, activities in digital creation tools and its validity was suggested through expert verification by composing contents elements based on the results. Also, this model was proposed so that each school could recompose it easily by combining contents elements of other curriculums. Therefore, the suggested model could be utilized as a basic research data in applying domestic SW curriculum standard model.

• Journal of Information Technology Applications and Management
• /
• v.27 no.1
• /
• pp.125-145
• /
• 2020

We explore technology ecosystem of smart surgical medical system by analyzing patent data applied for in Korea and Japan. First, a review of trends of patent application by country/technological domain show that there exist a minority of technology domains focused on R&D, which represent their trends have been increasingly active. Also, while a number of Japanese firms mainly consist of the patent market of Japan, in case of the Korean market, a few universities, SMEs, and foreign firms are found to be the main applicants. As a result of the network analysis with the links as the relations of co-patenting, the relationships, which are active of convergence and knowledge spillover among the heterogeneous technology domains within each market, as well as the technology domains, which are the most active in international cooperation among each homogeneous domain, could get derived and visualized in the ecosystem. In addition, the technology domains in each patent market with leading locations, roles, and influence in the network can also be identified through the centrality analysis. In this study, the analysis for technology competitiveness are carried out focusing on patent activity and patent impact. The results denote that across all domains, the Japanese market may possess higher patent activity and patent impact compared to the Korean market. In consequence, we derive the position map for comparison by country and technology domain from a perspective considering comprehensively the multi-dimensional attributes based on the results of both network analysis and technology competitiveness.

• Convergence Security Journal
• /
• v.16 no.2
• /
• pp.25-34
• /
• 2016

This study aims to prevent the serious threat from dangerous person or group by responding or blocking or separating illegal activities by use of SNA: Social Network Analysis. SNA enables to identify the complex social relation of suspect and individuals in order to enhance the effectiveness and efficiency of investigation. SNS has rapidly developed and expanded without restriction of physical distance and geo-location for making new relation among people and sharing large amount of information. As rise of SNS(facebook and twitter) related crimes, terrorist group 'ISIS' has used their website for promotion of their activity and recruitment. The use of SNS costs relatively lower than other methods to achieve their goals so it has been widely used by terrorist groups. Since it has a significant ripple effect, it is imperative to stop their activity. Therefore, this study precisely describes criminal and terrorist activities on SNS and demonstrates how effectively detect, block and respond against their activities. Further study is also suggested.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.2
• /
• pp.129-138
• /
• 2009

While the issue of caring for the elderly that faces the modern society has reached a serious level, it is expected that it will be particularly true in the Republic of Korea where an aged, not an aging, society is impending. In this paper I did research on establishing behavioral model of residents who dwell in home or welfare facilities. I suggested a behavioral model in daily living, $W_{ip}(n)$, based on event triggering. A multi-hop routing-based wireless luminance/temperature sensor network was built based on the proposed resident's behavioral model. 1 did experiments on behavioral activities of residents on the wireless sensor network system. According to experimental results. I could classify whether the daily activity of a resident someday is regular or not. These experimental results show that the proposed behavioral model is highly applicable in caring for residents in home or welfare facilities effectively in the future.

• Genomics & Informatics
• /
• v.21 no.2
• /
• pp.23.1-23.9
• /
• 2023

The mammalian sirtuin family, consisting of SIRT1-SIRT7, plays a vital role in various biological processes, including cancer, diabetes, neurodegeneration, cardiovascular disease, cellular metabolism, and cellular homeostasis maintenance. Due to their involvement in these biological processes, modulating sirtuin activity seems promising to impact immuneand aging-related diseases, as well as cancer pathways. However, more understanding is required regarding the safety and efficacy of sirtuin-targeted therapies due to the complex regulatory mechanisms that govern their activity, particularly in the context of multiple targets. In this study, the interaction landscape of the sirtuin family was analyzed using a systems biology approach. A sirtuin protein-protein interaction network was built using the Cytoscape platform and analyzed using the NetworkAnalyzer and stringApp plugins. The result revealed the sirtuin family's association with numerous proteins that play diverse roles, suggesting a complex interplay between sirtuins and other proteins. Based on network topological and functional analysis, SIRT1 was identified as the most prominent among sirtuin family members, demonstrating that 25 of its protein partners are involved in cancer, 22 in innate immune response, and 29 in aging, with some being linked to a combination of two or more pathways. This study lays the foundation for the development of novel therapies that can target sirtuins with precision and efficacy. By illustrating the various interactions among the proteins in the sirtuin family, we have revealed the multifaceted roles of SIRT1 and provided a framework for their possible roles to be precisely understood, manipulated, and translated into therapeutics in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.10
• /
• pp.2627-2642
• /
• 2023

Parkinson's disease (PD) is a typical, chronic neurodegenerative disease involving the concentration of dopamine, which can disrupt motor activity and cause different degrees of gait disturbance relevant to PD severity in patients. As current clinical PD diagnosis is a complex, time-consuming, and challenging task that relays on physicians' subjective evaluation of visual observations, gait disturbance has been extensively explored to make automatic detection of PD diagnosis and severity rating and provides auxiliary information for physicians' decisions using gait data from various acquisition devices. Among them, wearable sensors have the advantage of flexibility since they do not limit the wearers' activity sphere in this application scenario. In this paper, an attention-based temporal network (ATN) is designed for the time series structure of gait data (vertical ground reaction force signals) from foot sensor systems, to learn the discriminative differences related to PD severity levels hidden in sequential data. The structure of the proposed method is illuminated by Transformer Network for its success in excavating temporal information, containing three modules: a preprocessing module to map intra-moment features, a feature extractor computing complicated gait characteristic of the whole signal sequence in the temporal dimension, and a classifier for the final decision-making about PD severity assessment. The experiment is conducted on the public dataset PDgait of VGRF signals to verify the proposed model's validity and show promising classification performance compared with several existing methods.

• IMMUNE NETWORK
• /
• v.9 no.6
• /
• pp.243-247
• /
• 2009

In this study, we report the development of a new dual reporter vector system for the analysis of promoter activity. This system employs green fluorescence emitting protein, EGFP, as a reporter, and uses red fluorescence emitting protein, DsRed, as a transfection control in a single vector. The expression of those two proteins can be readily detected via flow cytometry in a single analysis, with no need for any further manipulation after transfection. As this system allows for the simultaneous detection of both the control and reporter proteins in the same cells, only transfected cells which express the control protein, DsRed, can be subjected to promoter activity analysis, via the gating out of all un-transfected cells. This results in a dramatic increase in the promoter activity detection sensitivity. This novel reporter vector system should prove to be a simple and efficient method for the analysis of promoter activity.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.8 no.6
• /
• pp.122-128
• /
• 1998

This paper presents compression of image sequences based on the classification of interframe difference image blocks. classification process consists of image activity classification and energy distribution classification. In the activity classification, interframe difference image blocks are classified into activity blocks and non-activity blocks using the edge detection. In the distribution classification, activity blocks are further classified into vertical blocks, horizontal blocks, and small activity blocks using the AC energy distribution features. The RBFN, trained with numerical classification results, successfully classifies difference image blocks according to image details. Image sequence compressing based on the classification of interframe difference image blocks using the RBFN shows better compression results and less training time than the classical sorting method and the MLP network.

• The Journal of Industrial Distribution & Business
• /
• v.8 no.4
• /
• pp.23-35
• /
• 2017

Purpose - This paper aims to obtain a theoretical understanding for the relationship among the elderly's leisure activity, social support, life satisfaction and mental loneliness in their life. This paper has the purpose to draw policy implications by the course of research and study as well as to find alternatives in enhancing the elderly's psychological well-being in a practical dimension. Research design, data, and methodology - Data has been collected from 380 elderly persons participating in leisure activities in 10 senior welfare service centers located in the Seoul area. A structured questionnaire sheet was used, and as the main analysis method for hypothesis verification, the hierarchical regression method was used. Results - Social support is moderating factor for the relationships among the productive leisure activity, life satisfaction and mental loneliness, but does not play the moderating role in the relationships such as consumptive leisure activity, life satisfaction and mental loneliness. Conclusions - It is necessary to make efforts to provide policies for promoting and expanding the elderly's participation especially in productive leisure activity. And also, an institutional support should be provided for maintaining and expanding a stable social relationship network for the elderly's participation.