• The Korean Journal of Community Living Science
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• v.23 no.2
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• pp.103-116
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• 2012

The purpose of this study was to investigate the trend of academic journals of institutional foodservice published from 2005 to 2009. This study was conducted by content analysis. We collected 322 articles including the subject of institutional foodservice Industry published from January 1, 2005 to December 31, 2009. Classification based on content analysis was conducted based on research method, statistical analysis, survey area, institution and location, sample type and research subject. First, in case of the research method, primary field survey/monitoring showed the highest rate. In addition, statistical analysis was as follows. Frequency/descriptive analysis were used as the highest rate. Survey area was a high percentage in case of Seoul/Incheon/Gyeong-gi province. In case of the institution and location, school/university showed the highest rate. In the sample type, foodservice employee/dietitian/nutrition teacher showed the highest rate. In this study, the most important research subjects were classified study subjects into seven by taking advantage of the previous studies. The greatest numerical study in seven study subjects was 'service quality and customers'(28.9%), and the following subjects were 'foodservice operation'(26.4%), 'hygiene, security and microbiology' (15.8%), 'organization and human resource' (15.5%). But it is noteworthy that 'marketing and strategic management'(9.6%) and 'education and training'(3.1%) of lower research results in this study are also important fields in institutional foodservice industry. Moreover, the study of such subjects is considered more necessary in the future.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.535-542
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• 2016

This study was to explore the meanings and follow-up tasks for enactment of Act on Supply and Utilization Promotion of Assistive Technology Devices for People with Disabilities and Seniors(Assistive Technology Act) in Korea. I conducted analysis about contents and establishment process of the Act. The study found meaningful effects ; it provided the basis for supporting assistive technology devices based on the social model, it led to an Implementation of the national obligations such as UN Convention on the Rights of Persons with Disabilities, it provided terms related to assistive technology. It is suggested to conduct follow-up studies and to put the efforts to strengthen additional laws for backing up the effective policy for extended support of assistive technology devices and for security of budget, for establishing regional service centers, for phasing of professional qualification, for controlling quality, for establishing an information system, and for promoting industries.

• Journal of the Society of Disaster Information
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• v.7 no.3
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• pp.240-246
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• 2011

The professional ethics for the guard is defined as the professional ethics that the person working as a guard to have. The professional ethics education builds the certainty and confidence about professional ethics recognition as well as behavior for guards so that helps the successful performance of the job. Therefore, this study tried to consider previous researches, understand the current professional ethics education for the department related to the guard and the case studies of incidents due to lack of professional ethics education to suggest the measures of activating professional ethics education. First, it is to consider the specialty of the guard to build the guard-martial spirit. Second, the professional ethics education must be out of the central culture study but develop as a major subject. Third, the quality and professionalism of the responsible professor of the professional ethics subject shall be considered. Forth, the professional ethics education must be performed not only at school but also continuously through the various ethics programs of the work places as well as organizations.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.207-213
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• 2023

Korea is facing a population cliff and a decline in the fertility rate, and the competition rate for recruiting officers in our military is rapidly decreasing every year. This situation is a serious problem in terms of national security and requires efforts to obtain excellent manpower. To this end, it is necessary to understand their occupational values through consideration of the MZ generation, which is the main recruitment target of the military, and to find diagnosis and solutions for each problem by closely analyzing the military's internal and external environment based on their understanding of soldiers as a job. Therefore, we diagnose the current situation in consideration of military specificity, examine the occupational values of the MZ generation, which is a resource for military officers recruitment. Since the subject of military officer acquisition is the MZ generation, efforts are needed to focus on occupational values of MZ generations.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.1
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• pp.19-32
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• 2011

This study compares the results of two Importance-Performance Analyses (IPA) on the convention destination images in Korea by meeting and exhibition planners. Meeting and convention planners carefully evaluate convention destinations by considering meeting room facilities, hotel service quality, safety/security, air transportation access and hotel room availability as the most important attributes of a convention destination. On the other hand, night life, exhibition facilities, scenery/sightseeing opportunities, food and lodging costs and restaurant facilities are considered as the least important attributes of a convention destination. The study revealed that convention destination attributes ranking is dynamic and continuous evaluation should be done to determine the current perception of the meeting and exhibition planners. Meeting and exhibition planners' importance grid of the convention attributes is dynamic and changed with the environment and needs of their clientele. In this study it was noted that the ranking for some attributes has dramatically changed.

• Journal of Information Technology Services
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• v.22 no.5
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• pp.1-16
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• 2023

This study aimed to provide fundamental insights into the digital customer experience by identifying its components and analyzing their importance and satisfaction levels among youths. To achieve this objective, the components of digital customer experience were identified through a review of prior research and consultation with experts. Subsequently, a survey was conducted with 200 youths in Seoul and Gyeonggi-do. The main findings of the study are as follows: First, The components of the digital customer experience consisted of 12 items grouped into three categories. Second, an analysis of the disparity between the importance and satisfaction levels of digital customer experience revealed statistically significant differences across all items. Third, By utilizing IPA (Importance-Performance Analysis), the digital customer experience was categorized into four quadrant, each with its own characteristics and recommendations for management: The first quadrant, the "current level maintenance area," encompassed items related to "entertainment" and "recommended service." This area is currently functioning well but necessitates continuous attention and management. The second quadrant, the "area to be supported first," included items such as "personalization," "security," "inducing participation," "privacy," and "individuality expression." Intensive management and improvements are imperative in this quadrant. The third quadrant, the "long-term improvement area," consisted of items like 'consistency,' 'information quality,' and 'convenience.' These items require focus on long-term enhancement efforts. The fourth quadrant, the "areas where efforts have already been invested," encompassed items like 'accessibility' and 'deliberation.' It appears that excessive investment has been made in these areas relative to their importance, calling for selective investments while considering the specific issues associated with each factor. These research findings serve as essential data for managing the digital customer experiences of youths.

• Journal of Information Processing Systems
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• v.20 no.3
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• pp.375-390
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• 2024

Edge computing architecture has effectively alleviated the computing pressure on cloud platforms, reduced network bandwidth consumption, and improved the quality of service for user experience; however, it has also introduced new security issues. Existing anomaly detection methods in big data scenarios with cloud-edge computing collaboration face several challenges, such as sample imbalance, difficulty in dealing with complex network traffic attacks, and difficulty in effectively training large-scale data or overly complex deep-learning network models. A lightweight deep-learning model was proposed to address these challenges. First, normalization on the user side was used to preprocess the traffic data. On the edge side, a trained Wasserstein generative adversarial network (WGAN) was used to supplement the data samples, which effectively alleviates the imbalance issue of a few types of samples while occupying a small amount of edge-computing resources. Finally, a trained lightweight deep learning network model is deployed on the edge side, and the preprocessed and expanded local data are used to fine-tune the trained model. This ensures that the data of each edge node are more consistent with the local characteristics, effectively improving the system's detection ability. In the designed lightweight deep learning network model, two sets of convolutional pooling layers of convolutional neural networks (CNN) were used to extract spatial features. The bidirectional long short-term memory network (BiLSTM) was used to collect time sequence features, and the weight of traffic features was adjusted through the attention mechanism, improving the model's ability to identify abnormal traffic features. The proposed model was experimentally demonstrated using the NSL-KDD, UNSW-NB15, and CIC-ISD2018 datasets. The accuracies of the proposed model on the three datasets were as high as 0.974, 0.925, and 0.953, respectively, showing superior accuracy to other comparative models. The proposed lightweight deep learning network model has good application prospects for anomaly traffic detection in cloud-edge collaborative computing architectures.

• Journal of Korea Water Resources Association
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• v.42 no.12
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• pp.1091-1102
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• 2009

This study developed an integrated approach to climate change and urbanization impact assessment by linking models of SDSM (statistical downscaling model), HSPF (hydrological simulation program?Fortran) and ICM (impervious cover model). A case study of the Anyangcheon watershed illustrated how the proposed framework can be used to analyze the impacts of climate change and urbanization in terms of flood control, water security and water quality. The evaluation criteria were the variations of flow and pollutant concentration duration curves. In this study, nine scenarios including three climate (present condition, A1B and A2) and three urbanization scenarios were analyzed using HSPF model. As a result, climate change is a large influence on the flowrate and the urbanization affects the pollutant concentration. Therefore, the impacts of both climate change and urbanization must be included into the watershed management and water resources planning for sustainable development.

• Architectural research
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• v.13 no.3
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• pp.31-40
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• 2011

Profit-keeping behaviors naturally occur in the market to satisfy consumers, and the logic behind it lies in the economies of scale. On the flip side, some commodities transacted in the market are not available or can not be easily acquired unless the demand is high enough. Under this proposition, some consumers rise and find their own solution to meet the services at a reasonable cost or at an adequate level. The commonly adopted way is to establish a cooperative, and it stirs purchasing power by pooling resources and further bargains price and service quality. As a consumer cooperative, housing cooperatives notably found in rural towns enable the elderly to continue independent living. This study is to take a closer look at residential life of the rural elderly in housing cooperatives. Utilizing in-depth focus group interviews with 40 residents in four housing cooperatives, this qualitative research draws main factors affecting the decision to move in, residential assessment, and strengths and weakness of living in a housing cooperative. The primary factor influencing the moving decision is to continue to independent living in a familiar community, and the bottom line is planning ahead. Frailty and bereavement are found to be the leading occasions for them to move. The participants are satisfied with the independent living arrangement, and particularly, cited such features as safety and security, elderly-friendly design, common spaces, freedom, social activities and efficient living. Also, it is stated that some cooperative natures such as control over the property and giving a voice on management render positive impacts on the satisfaction with communal living. In spite of all the benefits and strengths, participants face with a public notion that an independent living arrangement like a housing cooperative has never done before in rural towns, so that most people recognize it as part of dependent living arrangements like nursing home.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.336-342
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• 2017

Traffic can be localized by reducing the traffic load on the physical network by causing traffic to be generated at the end of the packet network. By localizing traffic, the IoT-based sensitive data-related security issues can be supported effectively. In addition, it can be applied effectively to the next-generation smart network environment without changing the existing network infrastructure. In this paper, a content priority scheme was applied to smart network-based IoT data. The IoT contents were localized to efficiently pinpoint the flow of traffic on the network to enable smart forwarding. In addition, research was conducted to determine the effective network traffic routes through content localization. Through this study, the network load was reduced. In addition, it is a network structure that can guarantee user quality. In addition, it proved that the IoT service can be accommodated effectively in a smart network-based environment.