• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.171-172
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• 2019

In this paper, we consider the dynamic method for the searching development of Web map to the monitoring object in the risk environments. It is to recognize the real-time detection to the risk situation based on the location monitoring mechanism of management to the object movement.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.119-128
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• 2022

Recently, due to the development of related technologies for autonomous vehicles, driving work is changing more safely. However, the development of support technologies for level 5 full autonomous driving is still insufficient. That is, even in the case of an autonomous vehicle, the driver needs to drive through forward attention while driving. In this paper, we propose a method to monitor driving tasks by recognizing driver behavior. The proposed method uses pre-trained deep convolutional neural network models to recognize whether the driver's face or body has unnecessary movement. The use of pre-trained Deep Convolitional Neural Network (DCNN) models enables high accuracy in relatively short time, and has the advantage of overcoming limitations in collecting a small number of driver behavior learning data. The proposed method can be applied to an intelligent vehicle safety driving support system, such as driver drowsy driving detection and abnormal driving detection.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.248-252
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• 2022

The environment refers to what is surrounded by something during human life. This environment is related to the way humans live, and presents various problems on how to perceive the surrounding environment and how the behaviors that constitute the environment support the elements necessary for human life. Humans have an interest in the supportability of the environment as the interrelationship increases as humans perceive and understand the environment and accept the factors supported by the environment. In space, human movement starts from one space to the next and exchanges stimuli and reactions with the environment until reaching a target point. These human movements start with subjective judgment and during gait movement, the spatial environment surrounding humans becomes a collection of information necessary for humans and gives stimulation. will do. In this process, in particular, humans move along the movement path through movement in space and go through displacement perception and psychological changes, and recognize a series of spatial continuity. An image of thinking is formed[1]. In this process, spatial experience is perceived through the process of filtering by the senses in the real space, and the result of cognition is added through the process of subjective change accompanied by memory and knowledge, resulting in human movement. As such, the spatial search behavior begins with a series of perceptual and cognitive behaviors that arise in the process of human beings trying to read meaning from objects in the environment. Here, cognition includes the psychological process of sorting out and judging what the information is in the process of reading the meaning of the external environment, conditions, and material composition, and perception is the process of accepting information as the first step. It can be said to be the cognitive ability to read the meaning of the environment given to humans. Therefore, if we can grasp the perception of space while moving and human behavior as a response to perception, it will be possible to predict how to grasp it from a human point of view in a space that does not exist. Modern people have the theme of reminiscing dog-friendly hotels for the healing of petloss syndrome, and this thesis attempts to approach the life of companions.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.4 no.1
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• pp.71-82
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• 1998

The purpose of this study is to analyze the phases of back pain occurring on pregnant women, and to raise the necessity of the pain management on the basis of the former analysis. The objective group is 284 pregnant women who visited department of OBGY of hospital located both in Seoul and Andong. The results are as follows; 1. 204(71.8%) pregnant women were suffering from back pain. The ratio of pain occurrance in terms of the duration of pregnancy shows that 78.3% within 3 pregnant months, 68.4% between four and six months and 72.1% over seven month. Most common ares of pain was low back area rating 60.5%. 2. The most painful postural for the suffering women was lying on the back rating 35.9% and the next painful posture was standing rating 34.4%. And the most painful movement was to maintaining continues movement(57.8%). Twisting back rates the second(17.2%). These two variables were relevant each other(p<0.05). 3. 46.7% of pregnant women were experiencing nocturnal pain. Among women experienced the pain before pregnancy, 39.9% were suffering during the pregnancy. The occurrence of nocturnal pain was related to the pain before and after the pregnancy(p<0.05). 4. 58.8% of pregnant women who experience back pain take the pain for granted as a normal proceeding of pregnancy while 3.9% recognize the symptom as an abnormal. Pain recognition in accordance with the phases does not show much difference(p<0.05). 5. It is shown that the more one delivers the number of babies, the faster back pain occurs(p<0.01). 6. 32.3% of the pain-suffering women have family member(s) having back pain. Family member(s) of the women who does not experience the pain don't have the pain either. This case reports 46.1%. Statistically, these two variables are relevant(p<0.01). 7. 43.0% of back pain experiencing women does not have any particular management plan against the pain. 20.7% is exercising as for prevention. Women who recognize the necessity of some means of therapy for their pain marked 42.9%. The majority(65.8%) of women responded exercise gymnastic work-out are most appropriate pain management. The above results show that a great number of pregnant women is experiencing back pain, however, they properly managed. This span suggests that appropriate advocacy and education for pregnant women is necessary. It is recommended that positive contribution can be made to better health of pregnant women when pain management by physical therapist is given.

• Journal of the Korean Society of School Health
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• v.8 no.1
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• pp.117-131
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• 1995

The purpose of this study is to grasp the nature of health behavior to pactice in order to keep and improve the optimal health in the current status of the cancer patients. The subjects were 21 cancer patients, who knew about their disease for themselves, could communicate without mental disease history, and could understand the purpose of this study and cooperate, in a university hospital in Seoul. The data were collected by direct interview from July 15 to Oct. 17, 1994. The interview took about 1~2hours per one time for each paitent by unstructural and open questions. And they were classified into some similar contents on the basis of the phenomenological analysis and categorized. The analyzed results are as follows: 1) In the daily life before and after diagnosis as cancer patients, they were categorized into 6 areas-the state of movement, sleeping, nutrition and diet, society and economy, drinking and somking, and recognition of their health. 2) In the experience of health behavior of cancer patents, they were categorized into 7 areas-the state of movement, sleeping, nutrition and diet, society and economy, drinking and smoking, recognition of their health, and psychology etc. According to the analyzed results of daily life before diagnosis as cancer patients, it turned out that they didn't recognize the problems for their health habit and made their disease state bad by irresolute characteristics which hesitated to practice rightly, renunciation, and irresponsibility and so on, even if they had much interests in their health and were motivated. Therefore, it is necessary to recognize and have an individual-centric interests in order to change the pattern of life for optimal health state to some extent. In the health behavior of cancer patients, it turned out that they had interests in the state of nutrition and diet the most. Even though they experienced the change of serious nutritive state due to the bad gastroenteric trouble by anticancer treatment, they were trying to have a regular eating habit refraining from irritant food and use folk remedies or healthy food temperating the taste food thoroughly, they also showed the sensitive response for nutrition. In addition, they appeared to use the traditional medical treatment or the folk remedies very seriously without abuse. In consideration of it, it is desirable to use them together with the modern medical treatment intercomplementarily and necessary to look into the types for cancer patients and their benefits.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.23-34
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• 2023

Wearable technology for military applications has received considerable attention as a means of personal status check and monitoring. Among many, an implementation to recognize specific motion states of a human is promising in that allows active management of troops by immediately collecting the operational status and movement status of individual soldiers. In this study, as an extension of military wearable application research, a new ankle wearable device is proposed that can glean the information of a soldier on the battlefield on which action he/she takes in which environment. Presuming a virtual situation, the soldier's upper limbs are easily exposed to uncertainties about circumstances. Therefore, a sensing module is attached to the ankle of the soldier that may always interact with the ground. The obtained data comprises 3-axis accelerations and 3-axis rotational velocities, which cannot be interpreted by hand-made algorithms. In this study, to discern the behavioral characteristics of a human using these dynamic data, a data-driven model is introduced; four features extracted from sliced data (minimum, maximum, mean, and standard deviation) are utilized as an input of the model to learn and classify eight primary military movements (Sitting, Standing, Walking, Running, Ascending, Descending, Low Crawl, and High Crawl). As a result, the proposed device could recognize a movement status of a solider with 95.16% accuracy in an arbitrary test situation. This research is meaningful since an effective way of motion recognition has been introduced that can be furtherly extended to various military applications by incorporating wearable technology and artificial intelligence.

• Journal of Satellite, Information and Communications
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• v.9 no.1
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• pp.57-64
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• 2014

Recently, many human-friendly communication methods have been studied for human-machine interface(HMI) without using any physical devices. One of them is the vision-based gesture recognition that this paper deals with. In this paper, we define some gestures for interaction with objects in a predefined virtual world, and propose an efficient method to recognize them. For preprocessing, we detect and track the both hands, and extract their silhouettes from the low-resolution hand images captured by a webcam. We modeled skin color by two Gaussian distributions in RGB color space and use blob-matching method to detect and track the hands. Applying the foodfill algorithm we extracted hand silhouettes and recognize the hand shapes of Thumb-Up, Palm and Cross by detecting and analyzing their modes. Then, with analyzing the context of hand movement, we recognized five predefined one-hand or both-hand gestures. Assuming that one main user shows up for accurate hand detection, the proposed gesture recognition method has been proved its efficiency and accuracy in many real-time demos.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.933-940
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• 2022

In this paper, the algorithm was developed to recognize hand 3D position through 2D image sensor and implemented a system to remotely control the 6 d.o.f. robot arm by using it. The system consists of a camera that acquires hand position in 2D, a computer that controls robot arm that performs movement by hand position recognition. The image sensor recognizes the specific color of the glove putting on operator's hand and outputs the recognized range and position by including the color area of the glove as a shape of rectangle. We recognize the velocity vector of end effector and control the robot arm by the output data of the position and size of the detected rectangle. Through the several experiments using developed 6 axis robot, it was confirmed that the 6 d.o.f. robot arm remote control was successfully performed.

• Journal of The Korean Association For Science Education
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• v.27 no.5
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• pp.404-411
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• 2007

The purpose of this study was to examine the types of explanation about different experimental data on students' preconceptions on physical experiment. 45 students were selected from P University by examining their pre-test. The subjects had a scientific conception about a simple pendulum's period of movement, and expected that there was no change in the movement even when the mass of water increased in the can. The students were presented data about pendulum movement inside a can. They recorded this in a blank table and drew a graph about the movement of the pendulum. The responses of students were tested by presenting written anomalous experimental data. Students' recognition, trust about the anomalous data, cognitive conflict, belief change about their preconceptions were examined with written tests also. To measure students' cognitive conflict levels, CCLT (Cognitive Conflict Levels Test) developed in a previous study was used. Some students responded based on preconceptions and regarded the data as manufactured data or experimental error. The students who recognized the anomaly in the situation showed higher cognitive conflict levels than those who didn't recognize the anomaly in the situation. The students who changed their beliefs about preconceptions recognized the data as anomalous situations and showed high cognitive conflict levels than those who didn't abandon their preconceptions. The students who have unchanged beliefs about their preconceptions regarded the data as experimental error.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.509-536
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• 2024

The purpose of this study is to develop a metadata AP for managing the person and organization name authority data in the National Debt Redemption Movement Digital Archive, a small-scale digital archive. The design principles and core metadata elements were derived by analyzing person/organization(group or corporateBody) metadata standards, implementation practices, and guidelines of libraries and archives, and mapped to the National Debt Redemption Movement person/organization name thesaurus data and the Wikidata Linked Metadata Model, resulting in 10 elements in the identification area, 14 elements in the content area, 8 elements in the relationship area, and 4 elements in the control area. A simple structure schema was applied so that it can be applied even in small organizations, and for interoperability, the schema was proposed with reference to DublinCore and SKOS schemes, and the applicability was confirmed based on actual data. The results of this study can be utilized as a basis for institutions that recognize the importance of data management but have difficulty in applying it in practice, when they want to prepare a system for managing their own authority data.