• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.238-243
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• 2007

The TAM(Topographic Attentive Mapping) network neural network model is an especially effective one for pattern analysis. It is composed of of Input layer, category layer, and output layer. Fuzzy rule, lot input and output data are acquired from it. The TAM network with three pruning rules for reducing links and nodes at the layer is called fuzzy TAM network. In this paper, we apply fuzzy TAM network to pattern analysis of leadership type for organizational leader and show its usefulness. Here, criteria of input layer and target value of output layer are the value and leadership related personality type variables of the Egogram and Enneagram, respectively.

• Journal of Korean Academy of Nursing Administration
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• v.16 no.3
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• pp.259-266
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• 2010

Purpose: The purpose of this study was to identify the influence of clinical nurse specialists' emotional intelligence on their organizational commitment and turnover intention. Methods: A descriptive study with second data analysis was conducted with permission. The original data was from the policy research on the status of clinical nurses with extended role hosted by the Hospital Nurses Association in 2007. Results: The mean score of emotional intelligence, organizational commitment, turnover intention were 58.66 (${\pm}6.63$), 46.71 (${\pm}3.54$), 12.87 (${\pm}3.98$) respectively. Emotional intelligence had 40% positive influence on organizational commitment (F=50.58, p<.01, adj.$R^2$=.16) and 24% negative influence on turnover intention (F=16.68, p<.01, adj.$R^2$=.06). Conclusion: The results recommend to develop a program that enhances clinical nurse specialists' emotional intelligence. The program could be utilized as an institutional retention strategy to increase clinical nurse specialists' organizational commitment and decrease their turnover intention.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.95-115
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• 2001

We propose classifying the venture firms into four types of knowledge management. For this purpose, we collected questionnaire data from 101 venture firms listed in KOSDAQ, and applied a unsupervised neural network algorithm SOM to obtain four clusters representing knowledge management types-High Tech Type, Organizational Knowledge Type, Information Technology Type, and Beginner Type. Based on the results, we conclude that the venture firms listed in KOSDAQ should first know its own knowledge management type, and then apply appropriate strategies to take advantage of the knowledge management impacts on the competitiveness.

• Journal of Korean Clinical Nursing Research
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• v.21 no.3
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• pp.347-354
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• 2015

Purpose: The purpose of this study was to investigate the effect of clinical nurses' communication competency and emotional intelligence on organizational performance. Methods: Two hundred and fifty nurses who currently work at two superior general hospitals in Seoul, Korea, participated in the study. Data were collected between March and April, 2015. Global Interpersonal Communication Competence Scale (GICC-15) developed by Hur (2003) was used to measure communication competency. Wong & Law's emotional intelligence scale (WLEIS) developed by Wong & Law (2002) was used to measure emotional intelligence. Organizational performance scale developed by Brewer & Selden (2000) was used to measure organizational performance. Results: The results were summarized as follows: 1) The means of communication competency, emotional intelligence and organizational performance were 3.61, 4.84, and 3.59 respectively. 2) There were positive correlations between communication competency, emotional intelligence and organizational performance. 3) The variance of organizational performance accounted for was 26.0% (adj $R^2=.26$). Conclusion: These findings suggest that developing human resources in nursing is important for better organizational performance.

• Journal of Convergence Society for SMB
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• v.5 no.1
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• pp.25-30
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• 2015

The APT attacks are hackers created a variety of security threats will continue to attack applied to the network of a particular company or organization. It referred to as intelligent sustained attack. After securing your PC after a particular organization's internal staff access to internal server or database through the PC or remove and destroy the confidential information. The APT attack is so large, there are two zero-day attacks and rootkits. APT is a process of penetration attack, search, acquisition, and is divided into outlet Step 4. It was defined in two ways how you can respond to APT through the process. Technical descriptions were divided into ways to delay the attacker's malicious code attacks time and plan for attacks to be detected and removed through.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.85-87
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• 2022

루푸스 신염을 정확히 진단하기 위해서는 신장의 침 생검을 통한 조직검사를 통해 사구체들을 찾아내고, 각각의 염증 정도를 분류해야 한다. 하지만 이에는 의료진의 많은 시간과 노력이 소요된다. 따라서 본 연구에서는 이러한 한계를 극복하기 위해 합성곱 신경망 (Convolutional neural network, CNN)에 기반한 검출 및 분할에 딥 러닝 접근법을 적용하는 YOLOv5 알고리즘을 통해 검체 이미지 내에서 사구체를 자동으로 검출해 내도록 하였다. 그리고 루푸스 신염 환자의 슬라이드 이미지에 대한 태깅 작업을 거쳐 학습을 위한 데이터와 테스트를 위한 데이터를 생성하여 학습 및 테스트에 활용하였다. 그 결과 고화질의 검체 이미지 내에서 대부분의 사구체를 0.9 이상의 높은 precision과 recall로 검출해 낼 수 있었다. 이를 통해 신장 내부의 사구체 검출을 자동화하고 추후 연구를 통해 사구체 염증 정도를 단계화 할 수 있는 발판을 마련하였다.

• Annual Conference of KIPS
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• 2015.04a
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• pp.456-459
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• 2015

인터넷 활용이 다양해짐에 따라서, 사이버 상의 특정 조직에 대한 표적공격에서부터 불특정 다수에 대한 공격까지 불법적인 경로를 통해 목적을 달성하거나 금전적인 이득을 취하기 위한 사이버 공격기법은 갈수록 그 경로가 다양해지고 치밀해지고 있다. 스마트폰의 등장과 함께 휴대용 기기의 사용은 급증하였고, 휴대성과 편리성은 많은 사람들의 서비스 이용환경을 데스크톱환경에서 이동환경으로 변화되고 있다. 이러한 환경의 변화는 보안위협 경로를 확장시킨다. 지능적이고 다양해진 보안 위협으로부터 조직의 시스템에 대한 통합적 가시성을 확보하는 일은 위협에 대비할 수 있는 방법을 제공할 수 있게 된다. 본 연구에서는 보안위협이 될 수 있는 상황을 탐지하기 위해서 조직의 특성에 맞는 보안정책을 수립하는 방법에 대해 정리하고 이에 따른 보안 관제와 운영을 할 수 있는 시스템 설계 방법을 제안하고자 한다.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.327-351
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• 2023

This paper aims to derive success factors that successfully lead an artificial intelligence (AI) project and prioritize importance. To this end, we first reviewed prior related studies to select success factors and finally derived 17 factors through expert interviews. Then, we developed a hierarchical model based on the TOE framework. With a hierarchical model, a survey was conducted on experts from AI-using companies and experts from supplier companies that support AI advice and technologies, platforms, and applications and analyzed using AHP methods. As a result of the analysis, organizational and technical factors are more important than environmental factors, but organizational factors are a little more critical. Among the organizational factors, strategic/clear business needs, AI implementation/utilization capabilities, and collaboration/communication between departments were the most important. Among the technical factors, sufficient amount and quality of data for AI learning were derived as the most important factors, followed by IT infrastructure/compatibility. Regarding environmental factors, customer preparation and support for the direct use of AI were essential. Looking at the importance of each 17 individual factors, data availability and quality (0.2245) were the most important, followed by strategy/clear business needs (0.1076) and customer readiness/support (0.0763). These results can guide successful implementation and development for companies considering or implementing AI adoption, service providers supporting AI adoption, and government policymakers seeking to foster the AI industry. In addition, they are expected to contribute to researchers who aim to study AI success models.

• Current Industrial and Technological Trends in Aerospace
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• v.7 no.1
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• pp.141-152
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• 2009

The simultaneous operation of multiple UAV's makes it possible for us to raise the mission accomplishment and cost efficiency. For this we need an easily scalable control algorithm, and swarm intelligence having the characteristics such as flexibility, robustness, decentralized control and self-organization comes into the spotlight as a practical substitute. In this paper the features of swarm intelligence are described, and various research results are introduced which show that the application of swarm intelligence to the control of multiple UAV's enables the missions of surveillance, path planning, target tracking and attack to be accomplished efficiently by simulations and tests.

• Knowledge Management Research
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• v.23 no.4
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• pp.21-41
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• 2022

With the development of AI and digital technologies such as big data, metaverse, and the Internet of Things, Robotic Process Automation (RPA) has brought great development and change to companies. Among these realistic industrial areas by RPA, the call center service area, which consists of a combination of complex high-tech systems and professional operation groups, has now reached the stage where AI is conducting counseling. The evolution of this digital transformation has become an important direction of change in the digital-related industry sector. Along with these changes, there have been many changes in the technical stress of the members of the organization within the RPA organization and their solutions. In this study, the representative psychological mechanisms were presented as Digital Shadow Work (DSW), expressed as 'unpaid work', and Organizational Citizenship Behavior (OCB), which is 'an act that helps organizations other than their duties'. This study theoretically contributes to the extension of the DSW concept to the organizational members.