• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.807-809
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• 2014

Individual dam water management is the comprehensive management of all water-based analyzes, quantity, quality, and comprehensive disaster management as a way to analyze and change. K-water is mainly the four river basins, and multipurpose dams and integrated water management is realized, and such information and communication system for integrated management of water resources is also a user-centered development, dam management, so that you can perform and built electronically be. The information communication system is configured to manage the operation of the control system of the equipment controlling system lower sensor and based on data collected from a field to store information, and to control the remote equipment capabilities. In this paper, the integrated management of water sector bodeung dam Information and Communication System for the best ways to learn about the system's security measures and systems to evaluate for weaknesses.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.284-287
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• 2022

In order to respond to the complexity and uncertainty of water management due to the climate crisis, K-water established a digital twin water management platform based on our experience in operating ICT infrastructure such as hydrological data sensing and high-quality data management and water management capabilities. In this platform, data from related organizations and real-time observation data in the basin are displayed on 3D topographic domain. Also it is configured to support optimal decision-making through simulation for various situations, displaying and analyzing results, and feedback on them. It is completed to establish the platform for Sunjim river basin. Based on this technologies and experience, K-water is planning to expand this digital twin to 5 major rivers in Korea. Through this, it plans to build comprehensive decision-making system for efficient water management considering various conditions in entire basin. Also it aims to create a new water industrial ecosystem and contribute to secure technological competitiveness cooperating with private companies.

• Journal of Korea Multimedia Society
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• v.14 no.12
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• pp.1572-1582
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• 2011

The rapid growth of UnderWater Acoustic Sensor Networks (UW-ASNs) has led researchers to enhance underwater MAC protocols against limitations existing in underwater environment. We propose the customized robust real-time packet inspection mechanism with addressing the problem of the search for the data packet loss and network performance quality analysis in UW-ASNs, and describe our experiences using this approach. The goal of this work is to provide a framework to assess the network real-time performance quality. We propose a customized and adaptive mechanism to detect, monitor and analyze the data packets according to the MAC protocol standards in UW-ASNs. The packet analyzing method and software we propose is easy to implement, maintain, update and enhance. We take input stream as real data packets from sniffer node in capture mode and perform fully analysis. We were interested in developing software and hardware designed tool with the same capabilities which almost all terrestrial network packet sniffers have. Experimental results confirm that the best way to achieve maximum performance requires the most adaptive algorithm. In this paper, we present and offer the proposed packet analyzer, which can be effectively used for implementing underwater MAC protocols.

• Advances in nano research
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• v.17 no.2
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• pp.109-124
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• 2024

In the era of smart manufacturing, precise prediction of springback-a common issue in ultra-thin sheet metal forming- and forming limits are critical for ensuring high-quality production and minimizing waste. This paper presents a novel approach that leverages the Internet of Things (IoT) and Artificial Neural Networks (ANN) to enhance springback and forming limits prediction accuracy. By integrating IoT-enabled sensors and devices, real-time data on material properties, forming conditions, and environmental factors are collected and transmitted to a central processing unit. This data serves as the input for an ANN model, which is trained with crystal plasticity simulations and experimental data to predict springback with high precision. Our proposed system not only provides continuous monitoring and adaptive learning capabilities but also facilitates real-time decision-making in manufacturing processes. Experimental results demonstrate significant improvements in prediction accuracy compared to traditional methods, highlighting the potential of IoT and ANN integration in advancing smart manufacturing. This approach promises to revolutionize quality control and operational efficiency in the industry, paving the way for more intelligent and responsive manufacturing systems.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.4
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• pp.327-333
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• 2016

An autonomous vehicle is a convergence of artificial intelligence and a vehicle which can drive itself while analyzing the real-time situation on a road without a driver. A lot of research achievements have been revealed through the media and Google is considered to be the best leading company in this field. The use of patent information which contains various information such as bibliographic data and information about technologies is a good way to find out the R&D direction of a company and develop a reasonable strategy. This study is aimed at investigating the direction to which Google focuses its R&D capabilities and establishing strategies for technology development. Google's patents about autonomous vehicles were collected and the degree of research bias was analyzed using Social Network Analysis based on citations indicating the quality of a patent. Based on the results, the strategies for technology development was eventually proposed. As a result, it was revealed that Google focused its R&D capabilities on the part of hardware control to make up for its lack of hardware-oriented technologies. As of now, Google obtained remarkable achievements, so it seems reasonable that last-movers consider cooperative research with Google.

• Journal of the Korean Society of Food Culture
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• v.25 no.3
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• pp.312-323
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• 2010

The objective of this study was to examine the effects of relationships between food service companies and their client companies by surveying employees working at cafeterias among a food service companies' client companies. For this purpose, previous research was reviewed, and confirmatory research was conducted using a questionnaire. In the questionnaire survey, the subjects were sampled through convenience sampling from the client companies of A Food Service Company, and 182 valid questionnaires were used in the analysis. The results of this study are summarized as follows. First, the characteristics of the relationship between the food service company and its client companies, which were reputation, communication, operation skill, and contact-point employees' service quality, had a significant effect on trust, and the effect was high in the order of contact-point employees' service quality, communication, operation skill, and reputation. Satisfaction was significantly affected by reputation, operation skill, and contact-point employee' service quality, but not by communication. The effect was high in the order of contact-point employees' service quality, reputation, and operation skill. In addition, reputation, communication, operation skill, and contact-point employees' service quality had a significant effect on long-term orientation, and the effects were high in the order of reputation, contact-point employees' service quality, communication, and operation skill. Second, with regard to the quality of relationships between a food service company and its client companies, trust had a significant effect on satisfaction. Third, among the factors related to the quality of relationships between the food service company and its client companies, trust and satisfaction had a significant effect on long-term orientation, and the effect of satisfaction was higher than that of trust. This study has scientific significance as one of only a few studies on factors affecting the long-term relationship between food service companies and their client companies, along with managerial implications that contact-point employees' capabilities are most important in service businesses, and thus efforts should be made at employing and educating them properly.

• Journal of Korean Academy of Nursing
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• v.54 no.2
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• pp.211-223
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• 2024

Purpose: Recent studies have focused on policies aimed at supporting the independence of individuals with disabilities in communities. As part of this initiative, supportive housing, integrated care, and residential spaces offer tailored services based on individual needs and autonomy. The attitudes and knowledge of the administrators supporting supportive housing residents regarding health management can influence the well-being of individuals with disabilities. Therefore, this study aimed to explore the challenges faced by supporting housing workers in enhancing the self-management skills of individuals with disabilities. Methods: In this qualitative study, focus group interviews were conducted in August 2023 with nine administrators working to support housing in Seoul. Qualitative content analysis was used to analyze the interview data. Results: The needs and challenges in enhancing the self-management skills of individuals with disabilities were as follows: (1) the complexity of health management challenges, (2) bidirectional strategies for strengthening health management capabilities, and (3) support for systematic health management. Additionally, eight subthemes were derived. Conclusion: By investigating the difficulties experienced and identifying the necessary support requirements for supportive housing workers, this study seeks to uncover insights and identifies areas for improvement and strategies for health management. This study acknowledges the educational and institutional support necessary to improve the health and quality of life of individuals with disabilities residing in supportive housing.

• Journal of Korea Spatial Information System Society
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• v.10 no.4
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• pp.77-88
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• 2008

There has been growing demands to manage the water quality of west coastal region due to the large scale urbanization along the coastal zone, the possibility of application of TMDL(Total Maximum Daily Loadings) to Han river, and the natural disaster such as oil spill incident in Taean, Chungnam. However, no system has been developed for such purposes. In this background, the demand of GIS based effective water quality management has been increased to monitor water quality environment and propose best management alternatives for Han river and Kyeonggi bay. This study mainly focused on the development of integrated water quality management system for Han river bas in and its estuary are a connected to Kyeonggi bay to support integrated water quality management and its plan. Integration was made based on GIS by spatial linking between water quality attributes and location information. A GIS DB was built to estimate the amount of generated and discharged water pollutants according to TMDL technical guide and it included input data to use two different water quality models--W ASP7 for Han river and EFDC for coastal area--to forecast water quality and to suggest BMP(Best management Practices). The results of BOD, TN, and TP from WASP7 were used as the input to run EFDC. Based on the study results, some critical areas which have relatively higher pollutant loadings were identified, and it was also identified that the locations discharging water pollutant loadings to river and seasonal factor affected water quality. And the relationship of water quality between river and its estuary area was quantitatively verified. The results showed that GIS based integrated system could be used as a tool for estimating status-quo of water quality and proposing economically effective BMPs to mitigate water pollution. Further studies need to be made for improving system's capabilities such as adding decision making function as well as cost-benefit analysis, etc. Also, the concrete methodology for water quality management using the system need to be developed.

• Knowledge Management Research
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• v.15 no.4
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• pp.105-126
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• 2014

Knowledge integration is becoming a primary function of improving organizational capabilities and performance in today's convergence paradigm. The knowledge integration capability of employees has increasingly been regarded as a critical source for developing new products and services. This study investigates the influential factors of employees' knowledge integration capability and its effects. A theoretical research model was developed based on the socio-technical perspective and information processing theory. The model includes teamwork quality, expertise, IT support, and knowledge complexity as the primary influential factors of employees' knowledge integration capability. A large-scale survey was conducted for gathering data (a total of 316 samples from 141 organizations) to test the proposed model. The test results of the hypotheses show that expertise and knowledge complexity are the significant influential factors of employees' knowledge integration capability, and also the capability has a positive effect on the knowledge creation performance of employees. Our findings contribute to the development of initiatives for promoting employees' knowledge integration capability, especially in knowledge intensive organizations focusing on convergence products and services.

• Journal of Communications and Networks
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• v.18 no.4
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• pp.619-628
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• 2016

This paper describes a theoretical framework for rate allocation to maximize the power efficiency of overall heterogeneous wireless networks whose users are assumed to have multihoming capabilities. Therefore, the paper first presents a power consumption model considering the circuit power and radio transmission power of each wireless network. Using this model, two novel power efficient rate allocation schemes (PERAS) for multihoming services are proposed. In this paper, the convex optimization problem for maximizing the power efficiency over wireless networks is formulated and solved while guaranteeing the required quality of service (QoS). Here, both constant bit rate and variable bit rate services are considered. Furthermore, we extend our theoretical framework by considering the sleep-operation management of wireless networks. The performance results obtained from numerical analysis reveal that the two proposed schemes offer superior performance over the existing rate allocation schemes for multihoming services and guarantee the required QoS.