• Journal of KIBIM
• /
• v.12 no.4
• /
• pp.93-103
• /
• 2022

As the design environment of domestic infrastructure facilities shifts from a traditional co-work office system to a virtual digital co-work office, a CDE collaboration platform is required to build a digital co-work office suitable for the domestic design environment. In addition, a number of large multinational projects requiring collaboration from domestic and foreign construction companies are ordered, and procedures for performing tasks based on international standards such as ISO 19650 are required, so preparation for domestic designers is required. Therefore, this study aims to derive CDE requirements for the development of an ISO 19650-based CDE collaboration platform suitable for domestic design environments, and derived Korean CDE requirements based on ISO 19650 series and overseas CDE cases.

• Journal of KIBIM
• /
• v.13 no.4
• /
• pp.36-44
• /
• 2023

Recently in Korea, efforts are underway to enhance smart construction by implementing Building Information Modeling (BIM) comprehensively across all sectors of the construction industry. This study focused on the adoption of BIM for prefab bridges currently executed in the industry and It examined the process of creating a BIM-based prefab bridge model that can support production. Additionally, it explored how prefab products made by manufacturers can be integrated with road alignments using BIM technology and how the DfMA (Design for Manufacturing and Assembly) approach, which supports production based on designed information, can be adopted. The process of creating the prefab bridge model aims to shorten production time, reduce costs, and enhance quality by leveraging digital information related to design and manufacturing within the BIM framework

• Korea journal of population studies
• /
• v.20 no.1
• /
• pp.65-96
• /
• 1997

The main purpose of this study is to explore the determinants of sex ratio imbalance at birth in Taegu which has experienced the extremely imbalanced sex ratio at birth since mid-1980s. This paper attempts to compare the determinants of sex ratio imbalance at birth, such as sex discrimination against women, son preference, prenatal sex identification followes by sex-selective induced abortions, among married women aged 25 to 44 in Taegu with those in Bay area, California in USA. The research is based on the survey data which were conducted in Taegu, Repulic of Korea and Bay area, California in USA. The findings of this analysis suggest that married women in Taegu are more likely to feel sex discrimination against women than married women in Bay area. Furthermore, the percentage of married women's effort for son bearing before pregnancy is much higher than that of married women in Bay area. We also have found that the percentage of sex-selective induced abortion in Taegu is six times higher than that of married women in Bay area. According to the logistic regression analysis, the determinants of sex-selective induced abortion among married women in Taegu are discrimination against women, son preference, prenatal sex identification. On the other hand, age is the only variable which has an important impact on sex-selective induced abortion among married women in Bay area. From the findings of this study, we can conclude that son preference based on Cofucianism is the most important impact on sex ratio imbalance at birth in Taegu where son preference is much stronger than other regions in Korea. The phenomenon of extremely imbalanced sex ratio at birth in Taegu is the result of combination of these factors, such as strong son preference, seeking to have at least one son within small family size, and prenatal sex identification followed by sex-selective induced abortion.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2008.05a
• /
• pp.1049-1052
• /
• 2008

보안위협은 날로 정교해지고 증가하고 있다. 이에 대응하는 인력과 정보보호인프라는 여러가지 한계점이 있다. 사람이 모든 걸 분석하기에는 그 양이, 보안인프라를 맹목적으로 신뢰하기에는 그 정확도가 문제가 된다. 이에 베이시안 기법을 이용하여 단편적인 분석이 아닌 여러 보안인프라의 오탐율과 상관관계를 고려한 공격판단 시스템을 구현하여 각 보안현상에 대한 공격여부를 판단함으로써 방대한 양과 정확도를 높이는 공격판단 시스템을 제안한다.

• Korean Architects
• /
• s.532
• /
• pp.40-47
• /
• 2013

• Journal of the Korea Convergence Society
• /
• v.7 no.6
• /
• pp.7-11
• /
• 2016

Voice recognition systems which use a white noise and voice recognition environment are not correct voice recognition with variable voice mixture. Therefore in this paper, we propose a method using the convergence of Bayesian technique and selecting voice for effective voice recognition. we make use of bank frequency response coefficient for selective voice extraction, Using variables observed for the combination of all the possible two observations for this purpose, and has an voice signal noise information to the speech characteristic extraction selectively is obtained by the energy ratio on the output. It provide a noise elimination and recognition rates are improved with combine voice recognition of bayesian methode. The result which we confirmed that the recognition rate of 2.3% is higher than HMM and CHMM methods in vocabulary recognition, respectively.

• Journal of Digital Convergence
• /
• v.13 no.10
• /
• pp.353-358
• /
• 2015

The Vocabulary Recognition System made by recognizing the standard vocabulary is seen as a decline of recognition when out of the standard or similar words. In this case, reconstructing the system in order to add or extend a range of vocabulary is a way to solve the problem. This paper propose configured Bhattacharyya algorithm standing by speech recognition learning model using the Bayesian methods which reflect parameter estimation upon the model configuration scalability. It is recognized corrected standard model based on a characteristic of the phoneme using the Bayesian methods for parameter estimation of the phoneme's data and Bhattacharyya algorithm for a similar model. By Bhattacharyya algorithm to configure recognition model evaluates a recognition performance. The result of applying the proposed method is showed a recognition rate of 97.3% and a learning curve of 1.2 seconds.

• The KIPS Transactions:PartB
• /
• v.17B no.5
• /
• pp.381-388
• /
• 2010

Naive Bayesian learning has been widely used in many data mining applications, and it performs surprisingly well on many applications. However, due to the assumption that all attributes are equally important in naive Bayesian learning, the posterior probabilities estimated by naive Bayesian are sometimes poor. In this paper, we propose more fine-grained weighting methods, called value weighting, in the context of naive Bayesian learning. While the current weighting methods assign a weight to each attribute, we assign a weight to each attribute value. We investigate how the proposed value weighting effects the performance of naive Bayesian learning. We develop new methods, using gradient descent method, for both value weighting and feature weighting in the context of naive Bayesian. The performance of the proposed methods has been compared with the attribute weighting method and general Naive bayesian, and the value weighting method showed better in most cases.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.17 no.3
• /
• pp.251-259
• /
• 2004

The prediction accuracy of prestress plays an important role in the quality of maintenance and the decision on rehabilitation of infrastructure such as prestressed concrete bridges. In this paper, the Bayesian statistical method that uses in-situ measurement data for reducing the uncertainties or updating long-term prediction of prestress is presented. For Bayesian analysis, prior probability distribution is developed to represent the uncertainties of creep and shrinkage of concrete and likelihood function is derived and used with data acquired in site. Posterior probability distribution is then obtained by combining prior distribution and likelihood function. The numerical results of this study indicate that more accurate long-term prediction of prestress forces due to creep and shrink age is possible.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.40 no.8
• /
• pp.718-725
• /
• 2012

Fuel or oil which is leaked into the aircraft engine bay can make a fire when it is contacted to the engine surface of hot temperature. In order to avoid fire, the fire extinguish system should be designed so that the extinguishing agent is quickly injected and its concentration keeps higher in the fire protection region. FAA requires that the extinguishing agent injected within the fire protection region should be sustained longer than 0.5 second on keeping a higher concentration than 6%. For developing a fire protection system satisfying the FAA regulation, numerical and experimental studies for the injection time and the concentration of the extinguishing agent were conducted. These results showed similar trend for the injection time or concentration, but the data acquisition was delayed due to the response of the sensors in the experiment.