• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.135-145
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• 2018

In online communities, users use comments to exchange their opinions and feelings on various subjects. Communication based on comments is quick and convenient, but sometimes this light-weight characteristic makes users use impolite and aggressive words, which leads to an online conflict. Therefore, it is important to analyze and classify users according to their characteristics in order to predict and take action for this kind of troubles. In this paper, we present several quantitative measures for describing the structures of comments trees based on the assumption that the user characteristics be observed as a form of some structural feature in comment trees of articles in which they posted comments. We examine the distribution of the proposed measures over article posters and commenters, and in addition, we show the effectiveness of the presented structural features by conducting experiments to classify users who have received warnings of the administrator from benign users.

• International Area Studies Review
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• v.16 no.3
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• pp.367-390
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• 2012

This thesis aims to analyzing the fact that how the Korean troops Intranet impacts on military service satisfaction to give something back to the community by doing time management, mental and physical health care of human resources who are in an army life in their 20's. This is full of suggestions as efficient operation of military service at the national and personal level. Also, this is able to be a guideline that provides useful information about self-discipline to new generation soldiers. This study regards it as meaningful to analyze causes that how the Korean troops Intranet impacts on military service satisfaction and provide information for effective utilization to new generation soldiers in their 20's consisted of the Internet generation at a military organization level. In conclusion, the Intranet has proved as important causes and tools that influence job satisfaction effectively. Also, the fact that the Intranet used in military organization should be developed to be useful to achieve their goal not to simple work or a means of transmission has came up.

• Korean Journal of Agricultural Science
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• v.46 no.2
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• pp.381-393
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• 2019

A smart farm is a system that combines information and communication technology (ICT), internet of things (IoT), and agricultural technology that enable a farm to operate with minimal labor and to automatically control of a greenhouse environment. Machine learning based on recently data-driven techniques has emerged with big data technologies and high-performance computing to create opportunities to quantify data intensive processes in agricultural operational environments. This paper presents research on the application of machine learning technology to diagnose the growth status of crops and predicting the harvest time of strawberries in a greenhouse according to image processing techniques. To classify the growth stages of the strawberries, we used object inference and detection with machine learning model based on deep learning neural networks and TensorFlow. The classification accuracy was compared based on the training data volume and training epoch. As a result, it was able to classify with an accuracy of over 90% with 200 training images and 8,000 training steps. The detection and classification of the strawberry maturities could be identified with an accuracy of over 90% at the mature and over mature stages of the strawberries. Concurrently, the experimental results are promising, and they show that this approach can be applied to develop a machine learning model for predicting the strawberry harvesting time and can be used to provide key decision support information to both farmers and policy makers about optimal harvest times and harvest planning.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1337-1342
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• 2019

Medical institutions face the challenge of securing competitiveness among medical institutions due to the rapid spread of ICT convergence, and managing data that is growing at an enormous rate due to the emergence of big data and the emergence of the Internet of Things. The big data paradigm of the medical community is not just about large data or tools and processes for processing and analyzing it, but also means a computerized shift in the way people live, think and study. As the medical data is recently released, the demand for the use of medical data is increasing. Therefore, the research on disease detection system based on public data using open source that can help rational and efficient decision making was conducted. As a result of the experiment, unlike a simple disease inquiry or a symptom inquiry about a single disease provided by a public institution, related diseases are searched by a symptom or a cause.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.167-176
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• 2020

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.

• The Research Journal of the Costume Culture
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• v.29 no.3
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• pp.422-436
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• 2021

The fashion industry analyzes the value of its essence with ecological design and is expressed as an innovative sculpture using digital technology. Accordingly, this study explores ecological images and digital technologies, categorizes types and derives their meanings through analysis of ecological images shown in modern digital fashion. A literature survey was conducted on ecological images and digital technology as a theoretical background. To analyze the expression type and internal meanings of ecological images, designs with ecological formability were selected and analyzed from related journals, books, and internet sites. The finding are as follows: The expression type was first identified as organic curved garment silhouettes of a non-material liquid with digital retouching. Second, ecological fashion design includes structural shape that applies the silhouette of an organism and patterning of the ecosystem. Third, ecosystems consist of interactions between components of an ecosystem that appear in the interactive type. Accordingly, the internal meanings of ecological images in modern digital fashion are: first, digital fashion can encircle the inherent concepts of nature as organic collections of individuals; second, digital ecological images emphasize a sense of community with coexistence and harmony, playing a complementary role; and finally, the images express perceptual features by providing people with transcendent experiences. This study is significant as it analyzes new formative features based on ecological systems in the digital fashion environment, establishes an aesthetic system through internal meanings, and enhances awareness of human-natural relationships.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.341-347
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• 2022

This research is designed to help and offer hold up to complete the requirements of aged and disable in a home. The control approach and the tone approach are used to manage the house appliances. The major organize system implementation in technology of wireless to offer distant contact from a phone Internet Protocol connectivity for access and calculating strategy and appliance remotely. The planned system no need a committed server PC with value of parallel systems and offers a new communication-protocol to observe and control a house environment with more than just the switch functionality. To express the possibility and efficiency of this system, devices like as lights switches, power plugs, and motion-sensors have been included with the planned home control system and supply more security manage on the control with low electrical energy activate method. The rank of switches is corresponding in all this control system whereby all user interfaces indicate the real time existing status. This system planned to manage electrical-appliances and devices in house with reasonably low cost of design, user friendly interface, easily install and provide high security. Research community generally specified that the network "Reconnaissance Attacks" in IPv6 are usually impossible due to they will take huge challenge to carry out address scanning of 264 hosts in an IPv6 subnet."It being deployed of IPv6 shows that it definitely enhances security and undermines the probability". This research of the IPv6 addressing-strategies at present utilizes and planned a new strategy and move toward to "mitigate reconnaissance attacks".

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.36-46
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• 2021

The purpose of this study is to have insights comparing Korea with US media companies on investigating their CSR goals, targets, methods, and strategies. Specifically, this study finds out the characteristics of CSR cases on broadcasting companies, telecom enterprises, and internet businesses on both countries. The results indicate that the US media companies focus more on inner stakeholders like employees as stimulating employees' welfare, ESG recognition, education, and culture via socially responsible business practices whereas the Korean media companies prefer to supporting have-nots, solving social issues, and market expansion through cause promotions and community volunteering. On CSR activity strategies, there is no difference between countries but some gaps between ones. Of companies, telecom enterprises, regardless of nations, are the best on strategical approaches of CSR activity.

• Journal of muscle and joint health
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• v.29 no.2
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• pp.100-112
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• 2022

Purpose: This study is a qualitative analysis of Korean-American (K-A) women's cancer prevention in the US. Methods: Qualitative research was conducted. Fifteen K-A women in four states were interviewed. Content theme analysis was used to analyze verbatim transcriptions of interviews. Results: Participants experienced difficulties in utilizing cancer screening programs. Factors include unfamiliarity with the US health care system, high health care costs or lack of health insurance, language barriers, and irregular and sporadic cancer screening participation. Participants also actively pursued non-institutional approaches to cancer prevention. They engaged in word-of-mouth informational exchanges in K-A communities, sought cancer screening in hospitals in Korea, conducted internet searches, autonomously decided on their health issues, and adopted healthy practices including better diets, physical exercise, and spiritual practices. Conclusion: It is necessary to implement measures to increase K-A women's utilization of the US cancer screening services and to encourage their active engagement in hands-on cancer prevention practices. K-A women should be empowered through increased familiarity with US cancer screening services and through the establishment of improved K-A community social services.

• Journal of the Korean Society of Food Culture
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• v.23 no.2
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• pp.204-213
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• 2008

In this age of information ruled by new technologies and knowledge, the world is interconnected as a single community, and within this trend of globalization, new cultural codes are emerging through temporal fusion between the past and the present and spatial fusion between different regions and countries. In this situation, it seems meaningful to review Korean fusion foods and restaurants serving such foods, as well as to consider their future directions. Thus, the objective of the present study was to survey and analyze Korean fusion restaurants representing Korean culture not only in Korea, but also in foreign cities, and to identify the expression characteristics of such restaurants. Based on restaurants recommended in relevant magazines and on Internet sites, 18 spaces were selected, visited, and surveyed, in which tradition and modernism were well-mixed. Data on the shapes, materials, colors, and patterns of spatial elements and food-related elements, including photographs, were collected and analyzed. The results are as follows. Of the 18 restaurants, 13 (72%) showed temporal fusion in both spatial and food-related elements, 4 showed temporal fusion in spatial elements and cultural fusion in food-related elements, and 1 showed cultural fusion in both spatial and food-related elements. In general, the spaces were mainly designed with modern elements and partially with traditional elements (ceilings, windows, furniture, articles), and the fusion of food-related elements was made in diverse forms that included temporal fusion restructuring traditional menus contemporarily, and cultural fusion harmonizing traditional food with Western cookery.