• Journal of the Korean Graphic Arts Communication Society
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• v.29 no.2
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• pp.1-13
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• 2011

The recent spotlight on electronic touch-screen display, a rapid breakthrough in the information society is evolving. Touch panel input device such as a keyboard or mouse without the use of, the on-screen character or a specific location or object on the person's hand touches a particular feature to identify the location of a panel is to be handled. The touch screen on the touch panel is used in the Ag paste is used mostly for low-curable paste. The thermal-curing paste according to the drying process of thermal energy consumption and improve the working environment of organic solvents have problems. In this study, Ag paste used in the non-thermal curing friendly and cost-effective UV curable paste was prepared. Current commercially available thermal-curable binder, was used instead of the flow characteristics of UV-curable oligomers and monomers with functional groups to give a single conductive Ag paste with the addition of a pattern could be formed. Ag paste as a result, thermal-curing adhesive, hardness, resistance and excellent reproduction of fine patterns and was available with screen printing environmentally friendly could see its potential as a patterning technology.

• Journal of IKEEE
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• v.22 no.4
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• pp.1195-1201
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• 2018

This paper interprets the relationship between the physical activity of the human and the signal of the brain to show the meaningful results in the process of sending and receiving information to the connected muscles. When a person works or thinks, a specific brain signal is generated from the brain and being trasmmited to the connected part. The EMG signal, which has muscle activity information, outputs the result of the muscle activation as an electrical signal, which outputs muscle activity information usually due to muscle contraction and relaxation. The purpose of this study is to analyze the relationship between the two signals, which are difficult to identify easily by visual data extraction and data acquisition by extracting such EMG and EMG in real time.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.79-85
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• 2021

Speech recognition technology refers to a technology in which a computer interprets the speech language spoken by a person and converts the contents into text data. This technology has recently been combined with artificial intelligence and has been used in various fields such as smartphones, set-top boxes, and smart TVs. Examples include Google Assistant, Google Home, Samsung's Bixby, Apple's Siri and SK's NUGU. Google and Daum Kakao offer free open APIs for speech recognition technologies. This paper selects three APIs that are free to use by ordinary users, and compares each recognition rate according to the three types. First, the recognition rate of "numbers" and secondly, the recognition rate of "Ga Na Da Hangul" are conducted, and finally, the experiment is conducted with the complete sentence that the author uses the most. All experiments use real voice as input through a computer microphone. Through the three experiments and results, we hope that the general public will be able to identify differences in recognition rates according to the applications currently available, helping to select APIs suitable for specific application purposes.

• Journal of Korean Academy of Nursing
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• v.27 no.1
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• pp.61-70
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• 1997

The purpose of this study was to identify the producing process for Korean nursing knowledge as applied by Foucault's discourse analytic method. By Foucault's discourse analytic method, the problem is not what is knowledge but what sort of knowledge is made up through specific level of practice. A Korean body of nursing knowledge has been discussed since 1980. At the end of 19th century, missionaries transplanted western nursing knowledge and method to Korea. Western nursing knowledge and methods have been developed continuously with both merits and demerits to Korean society. Recently our world has be come a global community via advances in transportation and correspondence. Although each person is different in skin color and shape. there is a clear line between Oriental people and Western people. Nursing science is only one in our world. but western humanistic nursing practice based on western worldview and human life has limits. It is natural that the Koreans as Oriental people have a systemic nursing science to reveal the specific experiential and concrete body of nursing knowledge rooted in the Korean worldview and human life. Nursing science is to understand human beings, to promote health. to prevent illness. to restore health. to alleviate suffering and to search for principles needed throughout all of human life. In Korea, now is the quickening period to shape a Korean body of nursing knowledge because of a shortage of nursing language in matters of intellectual recognition, and unfamiliar practical nursing field where there is no familiarity in the system of nursing research methodology. In reviewing articles from the Journal of the Nurses' Academic Society on Korean body of nursing knowledge, it was found that there are two common features. The first, human body and mind are inseperable that is one unit in this world and health is keeping a harmonious relationship between human body and mind. The second, Korean nursing practice is based on human nature and family ties. Accordingly discourse analysis has a good future prospect to produce a Korean body of nursing knowledge for analytic research on body and mind monism and family centered care based on human nature and family ties.

• Journal of The Korean Association For Science Education
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• v.15 no.2
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• pp.133-148
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• 1995

This study has been performed in order to achieve three objectives. They are as follows: To analyze, based on the research literatures, the nature of scientific inquiry ability and the characteristics of its constitutive elements. To identify inquiry skills and techniques essential to such areas as physics, chemistry, biology. and earth science. To develop instructional models and materials for enhancing inquiry ability on the part of high school students. It was found in the study that the scientific inquiry was interpreted in terms of different meanings according to the viewpoint of the person who are interested in the nature of science. The scientific inquiry has been viewed as the process of knowledge formation, scientific method, inquiry process or process skills depending on the epistemological, methodological, educational perspectives, respectively. It was also identified that certain kind of skills or techniques would be used for inquiry in only one specific area of the science. This study drew a conclusion based on the findings that the skills and techniques will effectively be learned when those are taught with specific knowledge in each area of the science. Reported in this paper are the materials developed, for fostering scienctific inquiry skills on the part of the high school students. The materials were developed, using two themes of a theoretical-abstract chemistry topic and a conceptual-concrete biology topic. Those materals were designed for an experiment and an observation, respectively.

• Journal of The Korean Association For Science Education
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• v.15 no.1
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• pp.54-67
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• 1995

This study has been performed in order to achieve three objectives. They are as follows: To analyze, based on the research literatures, the nature of scientific inquiry ability and the characteristics of its constitutive elements. To identify inquiry skills and techniques essential to such areas as physics, chemistry, biology, and earth science. To develop instructional models and materials for enhancing inquiry ability on the part of high school students. It was found in the study that the scientific inquiry was interpreted in terms of different meanings according to the viewpoint of the person who are interested in the nature of science. The scientific inquiry has been viewed as the process of knowledge formation, scientific method, inquiry process or process skills depending on the epistemological, methodological, educational perspectives, respectively. It was also identified that certain kind of skills or techniques would be used for inquiry in only one specific area of the science. The skills and techniques are effectively learned when those are taught with specific knowledge in each area of the science. The model and materials for fostering scientific inquiry skills will be presented on the second part of the report.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.725-728
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• 2014

Continue to have an increasingly violent crimes against children every year, and as you know all seriousness is classified as a felony. However, efforts to reduce the underlying crime is low. Therefore, it is necessary to solve this problem, the security system. Is to protect the children and adults that exist that can pose a threat to children to identify and monitor tracking method in this paper. Was based on a Korean standard body size of a person, such as keys, arm length, leg length, head vertical length, head width proposed method. Also, separate the adults and children through the comparison of the reference value, the ratio and the ratio of the number of pixels of the detected object, the proposed method. Processing speed is fast because it detects only a specific object region in the entire image in the handling method in the proposed method the five nine minutes. The advantage is to enable comparison of the specific object, through which there is.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.19-30
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• 2021

Diabetes Mellitus (DM) is one of common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of the medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient without the laboratory tests by performing screening based on some personal features can lessen the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic and prediabetic patients by considering factors other than the laboratory tests, as required by physicians in general. With the data obtained from local hospitals, medical records were processed to obtain a dataset that classified patients into three classes: diabetic, prediabetic, and non-diabetic. After applying three machine learning algorithms, we established good performance for accuracy, precision, and recall of the models on the dataset. Further analysis was performed on the data to identify important non-laboratory variables related to the patients for diabetes classification. The importance of five variables (gender, physical activity level, hypertension, BMI, and age) from the person's basic health data were investigated to find their contribution to the state of a patient being diabetic, prediabetic or normal. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing class-specific analysis of the disease, important factors specific to Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learnt from this research.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.141-148
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• 2021

In some intersections or busy traffic roads, there are more pedestrians in a specific period of time, and there are many traffic accidents caused by road congestion. Especially at the intersection where there are schools nearby, it is particularly important to protect the traffic safety of students in busy hours. In the past, when designing traffic lights, the safety of pedestrians was seldom taken into account, and the identification of motor vehicles and traffic optimization were mostly studied. How to keep the road smooth as far as possible under the premise of ensuring the safety of pedestrians, especially students, will be the key research direction of this paper. This paper will focus on person, motorcycle, bicycle, car and bus recognition research. Through investigation and comparison, this paper proposes to use YOLO v4 network to identify the location and quantity of objects. YOLO v4 has the characteristics of strong ability of small target recognition, high precision and fast processing speed, and sets the data acquisition object to train and test the image set. Using the statistics of the accuracy rate, error rate and omission rate of the target in the video, the network trained in this paper can accurately and effectively identify persons, motorcycles, bicycles, cars and buses in the moving images.

• KIISE Transactions on Computing Practices
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• v.21 no.6
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• pp.393-402
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• 2015

Human resources are one of the most essential elements of an organization. In particular, the more closed a group is, the higher the value each member has. Previous studies have focused on personal attributes of individual, such as medical history, and have depended upon self-diagnosis to manage structures. However, this method has weak points, such as the timeconsuming process required, the potential for concealment, and non-disclosure of participants' mental states, as this method depends on self-diagnosis through extensive questionnaires or interviews, which is solved in an interactive way. It also suffers from another problem in that relations among people are difficult to express. In this paper, we propose a multi-faced diagnosis model based on social network analysis which overcomes former weaknesses. Our approach has the following steps : First, we reveal the states of those in a social network through 9 questions. Next, we diagnose the social network to find out specific individuals such as victims or leaders using the proposed algorithm. Experimental results demonstrated our model achieved 0.62 precision rate and identified specific people who are not revealed by the existing methods.