• The Journal of the Korea Contents Association
• /
• v.14 no.7
• /
• pp.103-114
• /
• 2014

This study intends to make a proposal the direction classification to develop the independent study of e-book's visualization. For this, we research into the e-book of Disney animation which achieved recognition in the literary value and amusement First of all, We grasp the meaning of the concept of e-book's aerial-image and perceptual principle. Next, We found the subject that starts the movement, and then observed the factor of the presentation to be possible to experience the actual spatial experience by the motion-produced cues. Through analysis process, We can classify the appearance elements, media, camera, and the readers' motion-produced cues into 13 parts and define as the codes. As we analysis the frequency of use of the analysis object, We separated it into the 46 combination exercises. According to the combination with the independent exercise, We separated them into 4 groups. There are the actual spatial experience, narrative spatial experience, the experience of characters. The basis for these, we can analyze the characteristics of the motion-produced cues. This study has the meaning of the expansion of e-book into the film language system by separating the e-book's narrative visualization type.

• Journal of Advanced Navigation Technology
• /
• v.16 no.4
• /
• pp.649-656
• /
• 2012

The Global Positioning System (GPS) is widely utilized for commercial and military applications to estimate the location of the user or object. The GPS suffers from various intentional or unintentional interferers and it requires estimating the accurate angle-of-arrival (AOA) of the GPS signal to suppress interference signals and to efficiently detect GPS data. Since the power of GPS signal is very low comparing with the noise and interference signals, it is extremely difficult to estimate GPS AOA before despreading. Although AOA of GPS signal is usually estimated after despreading, it requires choosing the GPS AOA among results of AOA estimation because they include AOAs of interference and GPS signals when existing high-power interferers. In this paper, we propose the efficient choosing algorithm of the GPS signal among the estimated AOAs. The proposed algorithm compares the estimated results before despreading and after despreading for choosing AOA of GPS signal. Computer simulation examples are presented to illustrate the performance of the proposed algorithm.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.20 no.3
• /
• pp.171-179
• /
• 2020

Recently, studies have shown that convolution neural networks are achieving the best performance in image classification, object detection, and image generation. Vision based defect inspection which is more economical than other defect inspection, is a very important for a factory automation. Although supervised anomaly detection algorithm has far exceeded the performance of traditional machine learning based method, it is inefficient for real industrial field due to its tedious annotation work, In this paper, we propose ADGAN, a unsupervised anomaly detection architecture using the variational autoencoder and the generative adversarial network which give great results in image generation task, and demonstrate whether the proposed network architecture identifies anomalous images well on MNIST benchmark dataset as well as our own welding defect dataset.

• Korea Journal of Hospital Management
• /
• v.13 no.4
• /
• pp.119-145
• /
• 2008

The objectives of this study were to inspect how the law effected on hospital employment system and which policy and strategy are needed to cope with the present situation as the law regarding irregular workers law has enacted for a year. To grasp the changes of employment style in hospital, 56 hospitals among 311 general hospitals were questioned in this study. And employment policy and strategy were developed by referencing examples of developed nations and other industries. The survey showed that the wage and welfare level of irregular workers in hospitals was improved compared to that in the other industries. But there were still much discrimination between regular and irregular workers. The policy direction of government is, first of all, to follow the principle of equal treatment to equal value of labour. The first feasible policy is to enforce social security. The second one is an employment promotion policy which reduces or exempts hospitals employing irregular workers from tax and insurance fee. The third one is to extend employment contract period to 3 years. and finally there are policies to permit more dispatched jobs and to expand the social insurance coverage. The strategies to solve the problem of irregular workers are as follows; 1) performance wage system, 2) guaranteeing employment by unlimited contract, 3) creating new category of workers, 4) the wage system of management by object, 5) the method of job classification. This study has a meaning in the point that it was studied on hospital which is special industrial part and analyzed the changes after enacting irregular workers law and presented management strategy for countermeaure program. In this study, it was expected to contribute to decisions-making in hospital management, especially when using human resources.

• Korean Journal of Oriental Medicine
• /
• v.8 no.2 s.9
• /
• pp.47-65
• /
• 2002

This project is planned to grasp the present situation of traditional medicine part in our country and to study protection method about this by the intellectual property which is the international concerning point recently. Through this, we will be able to devise means to deal with protection method of traditional medicine being developed by WIPO now. Traditional medicine field In our country Is organized with specific condition separated into the part of institution and the part of non-institution. So, because of the closed peculiarity, we have experienced the difficulties to understand the real facts about traditional medicine. We cannot be indifferent to the matter anymore. Because the expectation of object people is high, we could expect the realization of research content. In 1 detail project, we investigated the situation of traditional medicine in our country through various collecting methods for excavation of oriental treatment technique and herb medicine which is worth protecting. With it, we sorted again into 56 kinds of 11 parts through analysis of validity in the way of oriental medicine. And we tried to link this up 2 detail project which is about legal and institutional guarantee concerning protection. furthermore, we tried to find approach ways for security of objectivity into 4 steps with the example of model disease. we could complete practical classification of traditional medicine in our country. In 2 detail project, we studied the protection method by the intellectual property through research result in 1 detail project. For this, we observed an outline of the intellectual property including a patent application analysis in folk traditional medicine part, and problems of traditional medicine protection and world trend by traditional knowledge protection tendency and the patent law In domestic traditional medicines, the aspects unprotectable with the patent law now were remained. So, we suggested supplementary plan. And we also suggested the freedom of utilization between traditional medicine possession countries (in-situ utilization) and the demand compensation payment for a third country (ex-situ utilization) in connection with international movement.

• Journal of the Korean Geographical Society
• /
• v.47 no.2
• /
• pp.282-296
• /
• 2012

This study compared effects of spatial resolution ratio in image fusion by Korea Multi-Purpose SATellite 2 (KOMPSAT II), also known as Arirang-2. Image fusion techniques, also called pansharpening, are required to obtain color imagery with high spatial resolution imagery using panchromatic and multi-spectral images. The higher quality satellite images generated by an image fusion technique enable interpreters to produce better application results. Thus, image fusions categorized in 3 domains were applied to find out significantly improved fused images using KOMPSAT 2. In addition, all fused images were evaluated to satisfy both spectral and spatial quality to investigate an optimum fused image. Additionally, this research compared Pixel-Based Image Analysis (PBIA) with the GEOgraphic Object-Based Image Analysis (GEOBIA) to make better classification results. Specifically, a roof top of building was extracted by both image analysis approaches and was finally evaluated to obtain the best accurate result. This research, therefore, provides the effective use for very high resolution satellite imagery with image interpreter to be used for many applications such as coastal area, urban and regional planning.

• Journal of Broadcast Engineering
• /
• v.18 no.4
• /
• pp.643-646
• /
• 2013

We present an improved AdaBoost algorithm to avoid overfitting phenomenon. AdaBoost is widely known as one of the best solutions for object detection. However, AdaBoost tends to be overfitting when a training dataset has noisy samples. To avoid the overfitting phenomenon of AdaBoost, the proposed method divides positive samples into K clusters using k-means algorithm, and then uses only one cluster to minimize the training error at each iteration of weak learning. Through this, excessive partitions of samples are prevented. Also, noisy samples are excluded for the training of weak learners so that the overfitting phenomenon is effectively reduced. In our experiment, the proposed method shows better classification and generalization ability than conventional boosting algorithms with various real world datasets.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.54 no.3
• /
• pp.70-77
• /
• 2017

Recently, Internet of Things (IoT) and deep learning techniques have affected video surveillance systems in various ways. The surveillance features that perform detection, tracking, and classification of specific objects in Closed Circuit Television (CCTV) video are becoming more intelligent. This paper presents real-time algorithm that can run in a PC environment using only a low power CPU. Traditional tracking algorithms combine background modeling using the Gaussian Mixture Model (GMM), Hungarian algorithm, and a Kalman filter; they have relatively low complexity but high detection errors. To supplement this, deep learning technology was used, which can be trained from a large amounts of data. In particular, an SRGB(Sequential RGB)-3 Layer CNN was used on tracked objects to emphasize the features of moving people. Performance evaluation comparing the proposed algorithm with existing ones using HOG and SVM showed move-in and move-out error rate reductions by 7.6 % and 9.0 %, respectively.

• Hwankyungkyoyuk
• /
• v.25 no.2
• /
• pp.242-253
• /
• 2012

This research aims to identify the effect of message design on university students' attitude toward the BIPV (Building Integrated Photovoltaic) and find out its educational availability and implications in environment education. For this purpose, we conducted a survey on questionnaires answered by 244 students of S university at lunch time in the school restaurant with the imaginary scenario that it is required to increase the food price due to photovoltaic-equipment. The students were divided into 9 groups and according to whether the eco-friendly message components are offered and the different rate of a rise in the foods' price. In order to look over various aspects of attitudes, the questionnaires are subdivided into 2 parts according to the classification of attitudes; the preference as an cognitive-affective attitude and the intention of visit as an behavioral attitudes. The results of this study are summarized as follows; (1) The eco-friendly message design has a significant effect on students' attitude. (2) If given explanation including information regarding eco-friendly facility and marking eco-friendly' adject, it has an positive influence on students' preference and intention of visit. (3) It is more effective to offer the information about the reason why the cost increase than just explain the eco-friendly characteristics of object as the message design strategy to attract student's positive attitude. (4) Although it is required to burden a certain scale of cost, students show higher preference and intention of visit if given the eco-friendly message design.

• Journal of Oriental Neuropsychiatry
• /
• v.11 no.2
• /
• pp.189-200
• /
• 2000

Object : The purpose of this study is assistant to medical treatment for patient, who suffers from headache, by classifing etiologies of headache and investigating using meridian and acupuncture point.Method : By considering through the oriental literature, we investigated etiologies and frequency of using meridian and acupuncture point on headache.Result:1. The Oriental etiologies of headache is classified in 'wind(風)', 'hot and feverish(熱)', 'humidity(濕)', 'cold(寒)', 'defidiency of qi(氣處)', 'deficiency of blood(血虛)', 'extravasated blood(瘀血)', 'asthenia of kidney(賢處)', 'anger by depression(鬱怒)', 'Damhwa(痰火)'2. The frequently used meridians on headache are followings : the 1st is Choksoyang-Tam-Kyong(足少陽膽經), the 2nd Choktaeyang-Pabggwabg-Kyong(足太陽膀胱經), the 3rd Tok-maek(督脈), and the 4th Chokyangmyong Wi-Kyong(足陽明胃經).3. The frequently used acupuncture points on headache are followings : the 1st is paek'oe(百會), the 2nd Hapkok(合谷) and the 3rd P'ungji(風池).Conclusion:1. The books about treatment of headache by using acupuncture are The Yellow Emperor's Classic on internal Medicine(黃帝內經) and Gab-UI-Kyoung(甲乙經) and so on.2. In The Yellow Emperor's Classic on Internal Medicine(黃帝內經), they mainly used treatment by following the stream of meridian on headache.3. After Gab-U1-Kyoung(甲乙經), they suggested specialized acupunctre point.4. Three Yang meridians(三陽經) that has many acupuncture point located on head area, are related to medical treatment on headache.