• Journal of The Korean Digital Architecture Interior Association
• /
• v.3 no.2
• /
• pp.8-13
• /
• 2003

The purpose of this study was to analyze the Site layout of Buddhist Architicture by water space of landscape architecture. As a result, the following fact is identified; We knew that land scape of Buddhist Architecture is intentional device. Example from the Tong-do Temple, it leads cleary the intention of water-space. The case of Tong-do Temple, water space is divided into Yeon-ji(lotus pond) and the Yeong-gi(shadow pond) and Gye-ryu(mountain stream). The viewing intention of Gu-Ryong-ji where Yong-ji the construction intention characteristic is positive it was intended there is a possibility of knowing. From the research which it sees it is limited in case of the Tong-do Temple tries to search a concrete instance. but on this outside many multiple architectural space uses water space and It creates the space where it leads the harmony of architecture and intention it was plentifully included.

• Journal of Surface Science and Engineering
• /
• v.29 no.5
• /
• pp.478-481
• /
• 1996

Disproportionation reaction is very important and interesting reaction to be applied to such surface treatment as metal, alloy, compound coating, a surface etching and so on. In gaseous system, the reaction of Al chloride is applied to Al and Al alloy coating, and the similar reaction of Ti chloride is also used for Ti, Ti alloy and Ti compound coating. As for aqueous system, this reaction is utilized to such metal coat as Sn etc. and metal etching such as Cu, Fe and so on. Also in molten salts system, this reaction has many application for surface treatment like metal, alloy and compound coatings for corrosion, wear, heat resistance and so forth. For instance, carbide film, nitride film, boride film, alloy film, quite new different film from the components of substrate material are coated in single and multiple component film system by the disproportionation reaction.

• Journal of information and communication convergence engineering
• /
• v.9 no.4
• /
• pp.471-474
• /
• 2011

In parallel job scheduling, each job can be executed simultaneously on multiple machines at a time. Thus in the input instance, a job $J_i$ requires the number $m_i$ of machines on which it shall be processed. The algorithm should determine not only the execution order of jobs but also the machines on which the jobs are executed. In this paper, when the jobs have deadlines, the problem is to maximize the total work of jobs which is completed by their deadlines. The problem is known to be strongly NP-hard [5] and we investigate the approximation algorithms for the problem. We consider a model in which the algorithm can have more machines than the adversary. With this advantage, the problem is how good solution the algorithm can produce against the optimal algorithm.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2022.11a
• /
• pp.145-148
• /
• 2022

준지도학습 기반의 동영상 이상행동감지는 구하기 어려운 프레임 단위 레이블이 필요하지 않아 더 많은 동영상을 학습에 활용 가능한 장점이 있어 관련 연구가 활발히 진행되고 있다. 최근 제안된 기법들은 주로 UCF-Crime 이라는 실제 CCTV 동영상 데이터셋을 활용하고 있는데, 본 데이터셋은 학습 영상과 테스트 영상에서 이상행동 클래스 별 분포도가 균등하지 않다. 본 연구에서는 해당 불균형으로 인해 학습 모델이 특정 행동 클래스에 과적합될 수 있음을 보이며, 이러한 불균형을 해결하기 위해 Class-Balanced Multiple Instance Learning Loss 를 제안한다. 이를 통해 기존에 특정 클래스에 편중되었던 모델이 이상행동 종류에 좀 더 균등한 성능을 낼 수 있음을 보여준다. 특히 단순히 클래스별 정확도가 제로섬(zero sum)으로 증감하는 것이 아니라 전체적인 이상행동 판별 정확도 또한 향상됨을 실험 결과를 통해 확인할 수 있다.

• Journal of Advanced Navigation Technology
• /
• v.19 no.6
• /
• pp.534-543
• /
• 2015

This paper introduces the time-misalignment error between multiple range measurements acquired by an onboard distance measuring equipment (DME) interrogator and proposes an efficient position determination method that can mitigate the negative effects of the time-misalignment error. The introduced time-misalignment error does not occur in conventional utilization of DME combined with VHF omnidirectional range (VOR). The proposed position determination method projects all the DME range measurements acquired irregularly during an interval to the same time instance where the aircraft position is determined. By the simulation utilizing a representative aircraft trajectory, it is shown that it is possible to estimate the horizontal position accurately without any changes of ground DME facilities.

• Journal of Digital Contents Society
• /
• v.18 no.1
• /
• pp.149-158
• /
• 2017

Big data have been presenting us with exciting opportunities and challenges in economic development. For instance, in the agriculture sector, mixing up of various agricultural data (e.g., weather data, soil data, etc.), and subsequently analyzing these data deliver valuable and helpful information to farmers and agribusinesses. However, massive data in agriculture are generated in every minute through multiple kinds of devices and services such as sensors and agricultural web markets. It leads to the challenges of big data problem including data collection, data storage, and data analysis. Although some systems have been proposed to address this problem, they are still restricted either in the type of data, the type of storage, or the size of data they can handle. In this paper, we propose a novel design of a platform for collecting and analyzing agricultural big data. The proposed platform supports (1) multiple methods of collecting data from various data sources using Flume and MapReduce; (2) multiple choices of data storage including HDFS, HBase, and Hive; and (3) big data analysis modules with Spark and Hadoop.

• Nuclear Engineering and Technology
• /
• v.42 no.6
• /
• pp.680-689
• /
• 2010

The crack-tip stress fields and fracture mechanics assessment parameters for a surface crack, such as the elastic stress intensity factor or the elastic-plastic J-integral, can be affected significantly by the adjacent cracks. Such a crack interaction effect due to multiple cracks can alter the fracture mechanics assessment parameters significantly. There are many factors to be considered, for instance the relative distance between adjacent cracks, the crack shape, and the loading condition, to quantify the crack interaction effect on the fracture mechanics assessment parameters. Thus, the current assessment codes on crack interaction effects (crack combination rules), including ASME Sec. XI, BS7910, British Energy R6 and API 579-1/ASME FFS-1, provide different rules for combining multiple surface cracks into a single surface crack. The present paper investigates crack interaction effects by evaluating the elastic stress intensity factor and the elastic-plastic J-integral of adjacent in-plane surface cracks in a plate through detailed 3-dimensional elastic and elastic-plastic finite element analyses. The effects on the fracture mechanics assessment parameters of the geometric parameters, the relative distance between two cracks, and the crack shape are investigated systematically. As for the loading condition, an axial tension is considered. Based on the finite element results, the acceptability of the crack combination rules provided in the existing guidance was investigated, and the relevant recommendations on a crack interaction for in-plane surface cracks are discussed. The present results can be used to develop more concrete guidance on crack interaction effects for crack shape characterization to evaluate the integrity of defective components.

• Journal of Broadcast Engineering
• /
• v.18 no.3
• /
• pp.481-490
• /
• 2013

In this paper, an investigation of weapon tracking performance is shown in regard to improving individual weapon performance of aiming objects. On the battlefield, a battle can last only a few hours, sometimes it can last several days until finished. In these long-lasting combats, a wide variety of factors will gradually lower the visual ability of soldiers. The experiments were focusing on enhancing the degraded aiming performance by applying visual tracking technology to roof mounted sights so as to track the movement of troops automatically. In order to select the optimal algorithm among the latest visual tracking techniques, performance of each algorithm was evaluated using the real combat images with characteristics of overlapping problems, camera's mobility, size changes, low contrast images, and illumination changes. The results show that VTD (Visual Tracking Decomposition)[2], IVT (Incremental learning for robust Visual Tracking)[7], and MIL (Multiple Instance Learning)[1] perform the best at accuracy, response speed, and total performance, respectively. The evaluation suggests that the roof mounted sights equipped with visual tracking technology are likely to improve the reduced aiming ability of forces.

• Journal of Computing Science and Engineering
• /
• v.5 no.3
• /
• pp.183-196
• /
• 2011

There has recently been a surge of interest in relational database mining that aims to discover useful patterns across multiple interlinked database relations. It is crucial for a learning algorithm to explore the multiple inter-connected relations so that important attributes are not excluded when mining such relational repositories. However, from a data privacy perspective, it becomes difficult to identify all possible relationships between attributes from the different relations, considering a complex database schema. That is, seemingly harmless attributes may be linked to confidential information, leading to data leaks when building a model. Thus, we are at risk of disclosing unwanted knowledge when publishing the results of a data mining exercise. For instance, consider a financial database classification task to determine whether a loan is considered high risk. Suppose that we are aware that the database contains another confidential attribute, such as income level, that should not be divulged. One may thus choose to eliminate, or distort, the income level from the database to prevent potential privacy leakage. However, even after distortion, a learning model against the modified database may accurately determine the income level values. It follows that the database is still unsafe and may be compromised. This paper demonstrates this potential for privacy leakage in multi-relational classification and illustrates how such potential leaks may be detected. We propose a method to generate a ranked list of subschemas that maintains the predictive performance on the class attribute, while limiting the disclosure risk, and predictive accuracy, of confidential attributes. We illustrate and demonstrate the effectiveness of our method against a financial database and an insurance database.

• Korean Journal of Health Education and Promotion
• /
• v.7 no.1
• /
• pp.64-71
• /
• 1990

The purpose of this study is to identify the main factors influencing breast cancer self-examination, a preventive health behavior, thereby increasing self-examination compliance for early detection of the disease. The data on which this study was based were collected from a survey of 601 ladies, aged 20∼59 years and residing in Seoul, employing such mehtods as X²-test, ANOVA, t-test, F-test, Person's Correlation Coefficient and Stepwise Multiple Regression. The resulting conclusions are as follows; 1. Discrepancies in self-examination compliance rate are found in accordance with the differences of general characters of the surveyed persons. For instance, those who are well educated and better off are better compliers than those who are not (p<0.001), and those around whom breast cancer patients are better ones than who are not (p<0.01). 2. Self-examination compliers have higher health belief than non-compliers. Compliers have more knowledge in health and have higher susceptibility, barriers and health concern (p<0.001), and higher benefits (p<0.01), and higher seriousness (p<0.05) than non-compliers. 3. Whereas those who have loftier health belief show higher compliance rate (p<0.001), seriousness turned out to have no correlationship with self-examination compliance. 4. Stepwise Multiple Regression portray that following factors influence self-examination compliance in arder named. (1) barriers (2) susceptibility, (3) health concern, (4) age, (5) benefits, (6) education level. Even so, it turned out that these factors alone can explain only 20％ of self-examination compliance. Therefore study for the other factors ought to be continued. I submit following suggestions ending this study. 1. Since breast cancer self-examination is an essential health behavior needed for early detection of the disease, efficient and proper health education program eyed for regular and periodic self-examination is required to be developed, thus reducing the deaths and pains caused by the disease. 2. Proper policies of the government for the prevention of breast cancer is strongly urged to be formed in concrete manner. 3. Continuous study of the other factors affecting self-examination compliance must be carried on.