• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.1
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• pp.127-134
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• 2022

Recently, policies and research to prevent increasing construction accidents have been actively conducted in the domestic construction industry. In previous studies, the prediction model developed to prevent construction accidents mainly used only structured data, so various characteristics of construction sites are not sufficiently considered. Therefore, in this study, we developed a machine learning-based construction accident prediction model that enables the characteristics of construction sites to be considered sufficiently by using both structured and text-type unstructured data. In this study, 6,826 cases of construction accident data were collected from the Construction Safety Management Integrated Information (CSI) for machine learning. The Decision forest algorithm and the BERT language model were used to train structured and unstructured data respectively. As a result of analysis using both types of data, it was confirmed that the prediction accuracy was 95.41 %, which is improved by about 20 % compared to the case of using only structured data. Conclusively, the performance of the predictive model was effectively improved by using the unstructured data together, and construction accidents can be expected to be reduced through more accurate prediction.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.619-622
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• 2018

최근 데이터의 형태는 점점 다양화되고 증가하고 있기 때문에 데이터의 체계적 분류 및 관리의 필요성이 증대되고 있다. 이러한 목적을 위하여 데이터에 대한 품질 평가는 중요한 요소가 된다. 최근 데이터는 기존의 정형화된 데이터보다 비정형 데이터가 대부분을 차지하고 있다. 그러나 기존의 데이터 품질 평가는 정형 데이터에 편중되어 왔다. 따라서 다양한 형태와 의미를 가지고 있는 비정형 데이터는 기존의 평가 기술로는 품질을 측정하기 어렵다. 이와 같은 문제로 본 논문은 텍스트기반의 비정형 데이터에 적용 가능한 영역별 평가 지표를 구축하고, 신문기사와 커뮤니티(질의응답)데이터를 사용하여 각 요소별 품질을 측정하여 그 결과에 대해서 고찰하였다.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.14 no.1
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• pp.26-35
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• 2003

Conventional antipsychotics are commonly used to treat children and adolescents suffered from schizophrenia to other neuropsychiatric conditions. Regrettably, studies for typical antipsychotics report high rates of sedation, orthostatic hypotension, and extrapyramidal side effects. Over the past few years, atypical antipsychotics have been prescribed for use in adults with psychotic symptoms. Child psychiatrists have begun using these drugs to children and adolescents hoping safe and better alternatives to the conventional antipsychotics. However, there is not enough short-term and almost no long-term data about atypical antipsychotics for pediatric patients. Therefore, the purpose of this article is to review what is known about the use of the atypical antipsychotics in young patients. To do so, an appropriate approach to the use of these drugs in child and adolescent patients my be offered.

• Journal of the Korea Institute of Building Construction
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• v.22 no.6
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• pp.565-575
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• 2022

Thanks to the latest developments in digital architectural technologies, free-form designs that maximize the creativity of architects have rapidly increased. However, there are a lot of difficulties in forming various free-form curved surfaces. In panelizing to produce free forms, the methods of mesh, developable surface, tessellation and subdivision are applied. The process of applying such panelizing methods when producing free-form panels is complex, time-consuming and requires a vast amount of manpower when extracting production data. Therefore, algorithms are needed to quickly and systematically extract production data that are needed for panel production after a free-form building is designed. In this respect, the purpose of this study is to propose mathematical algorithms for the automatic generation of production data of free-form panels in consideration of the building model, performance of production equipment and pattern information. To accomplish this, mathematical algorithms were suggested upon panelizing, and production data for a CNC machine were extracted by mapping as free-form curved surfaces. The study's findings may contribute to improved productivity and reduced cost by realizing the automatic generation of data for production of free-form concrete panels.

• Convergence Security Journal
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• v.22 no.4
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• pp.85-97
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• 2022

With the development of big data technology, data is rapidly entering a hyperconnected intelligent society that accelerates innovative growth in all industries. The convergence industry, which holds and utilizes various high-quality data, is becoming a new growth engine, and big data is fused to various traditional industries. In particular, in the medical field, structured data such as electronic medical record data and unstructured medical data such as CT and MRI are used together to increase the accuracy of disease prediction and diagnosis. Currently, the importance and size of unstructured data are increasing day by day in the medical industry, but conventional data security technologies and policies are structured data-oriented, and considerations for the security and utilization of unstructured data are insufficient. In order for medical treatment using big data to be activated in the future, data diversity and security must be internalized and organically linked at the stage of data construction, distribution, and utilization. In this paper, the current status of domestic and foreign data security systems and technologies is analyzed. After that, it is proposed to add unstructured data-centered de-identification technology to the guidelines for unstructured data and technology application cases in the industry so that unstructured data can be actively used in the medical field, and to establish standards for judging personal information for unstructured data. Furthermore, an object feature-based identification ID that can be used for unstructured data without infringing on personal information is proposed.

• Korean Journal of Construction Engineering and Management
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• v.12 no.3
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• pp.11-21
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• 2011

The most critical issue in free-form buildings is how to construct the free-formed exterior facade panels. Their geometric complexity delivers many cons and problems in fabricating and constructing their shapes. To construct a free-form building, first of all, its skin has to be chopped into small pieces, which is called panelization. After panelization, the panels go through an optimization process to construct them economically. The panel's geometries are modified or regenerated through this optimization process. In this study, the panel optimization process of free-form buildings are performed through a case study. The panel shapes of the case study are modeled with Digital Project. To test the constructability of the various panels, 8 mock-up panels are made and laser scanning technology is applied to measure the preciseness of the panels manufactured in comparison with their original design.

• Journal of Labour Economics
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• v.24 no.2
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• pp.125-162
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• 2001

According to the survey results on non-standard employment, most of the non-standard workers are women and work at service jobs and some jobs that do not require firm-specific skill. Also wages of non-standard workers appear to be lower than those of standard workers by 10~19%. Non-standard workers are very much likely to be excluded from beneficiaries of economic growth because job contents and ability are not important relatively as criteria in determining their basic wage and their benefits are also much lower in severance pay and bonuses, vacations, 4 social insurances, education and training opportunities. Because of very low rate of union membership, the working conditions of non-standard workers are not expected to be improvable easily by unions. It seems that the reason of the demand increase for non-standard workers is mainly because not only an individual establishment demands quantitative flexibility in employment, but also there are tendencies of being smaller in establishment size and of growing service industries macro-economically. The number of non-standard workers are expected to increase continuously in the future, too.

• Journal of the Earthquake Engineering Society of Korea
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• v.12 no.4
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• pp.35-44
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• 2008

A self-centering energy-dissipative(SCED) bracing system has recently been developed as a new seismic force resistant bracing system. The advantage of the SCED brace system is that, unlike other comparable advanced bracing systems that dissipate energy such as the buckling restrained brace(BRB) system, it has a self-centering capability that reduces or eliminates residual building deformations after major seismic events. In order to investigate the effects of torsion on the SCED brace and BRB systems, nonlinear time history analyses were used to compare the responses of 3D model structures with three different amounts of frame eccentricity. The results of the analysis showed that the interstory drifts of SCED braced frames are more uniform than those of BRB frames, without regard to irregularity. The residual drift and residual rotation responses tended to decrease as irregularity increased. For medium-rise structures, the drift concentration factors(DCFs) for SCED systems were lower than those for BRB frames. This means that SCED-braced frames deform in a more uniform manner with respect to building height. The effect of the torsional irregularity on the magnitude of the DCFs was small.

• Korean Journal of Head & Neck Oncology
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• v.33 no.1
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• pp.73-77
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• 2017

An 81 year-old male patient presented with rapid enlargement of left lateral neck mass, diagnosed two months earlier as cervical nontuberculous mycobacterial lymphadenitis. Abscess formation and impending rupture related to aggravation of nontuberculous mycobacterial lymphadenitis was highly suspected. Unexpectedly, blood flow was detected by Doppler ultrasonography, which indicated possible vascular mass. Computed tomography demonstrated a $6.0cm{\times}4.0cm$ sized enhancing mass consistent with pseudoaneurysm of internal carotid artery. The patient underwent pseudoaneurysmectomy. Surgical drainage without adequate evaluation might have led to potentially life-threatening condition. We describe this rare case with importance of imaging screening in a neck mass.

• The Journal of Society for e-Business Studies
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• v.24 no.1
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• pp.121-137
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• 2019

De-identification is a method by which the remaining information can not be referred to a specific individual by removing the personal information from the data set. As a result, de-identification can lower the exposure risk of personal information that may occur in the process of collecting, processing, storing and distributing information. Although there have been many studies in de-identification algorithms, protection models, and etc., most of them are limited to structured data, and there are relatively few considerations on de-identification of unstructured data. Especially, in the medical field where the unstructured text is frequently used, many people simply remove all personally identifiable information in order to lower the exposure risk of personal information, while admitting the fact that the data utility is lowered accordingly. This study proposes a new method to perform de-identification by applying the k-anonymity protection model targeting unstructured text in the medical field in which de-identification is mandatory because privacy protection issues are more critical in comparison to other fields. Also, the goal of this study is to propose a new utility metric so that people can comprehend de-identified data set utility intuitively. Therefore, if the result of this research is applied to various industrial fields where unstructured text is used, we expect that we can increase the utility of the unstructured text which contains personal information.