• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.736-743
• /
• 2022

Construction workers experience a high rate of fatal incidents from mobile equipment in the industry. One of the major causes is the decline in the acoustic condition of workers due to the constant exposure to construction noise. Previous studies have proposed various ways in which audio sensing and machine learning techniques can be used to track equipment's movement on the construction site but not on the audibility of safety signals. This study develops a novel framework to help automate safety surveillance in the construction site. This is done by detecting the audio sound at a different signal-to-noise ratio of -10db, -5db, 0db, 5db, and 10db to notify the worker of imminent dangers of mobile equipment. The scope of this study is focused on developing a signal processing model to help improve the audible sense of mobile equipment for workers. This study includes three-phase: (a) collect audio data of construction equipment, (b) develop a novel audio-based machine learning model for automated detection of collision hazards to be integrated into intelligent hearing protection devices, and (c) conduct field experiments to investigate the system' efficiency and latency. The outcomes showed that the proposed model detects equipment correctly and can timely notify the workers of hazardous situations.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.13 no.4
• /
• pp.1-11
• /
• 2010

This study proposed the method for the SWMM data generation connected with the spatial database and designed the data model in order to display flooding information such as the runoff sewer system, flooding areas and depth. A variety of data, including UIS, documents related to the disasters, and rainfall data are used to generate the attributes for flooding analysis areas. The spatial data is constructed by the ArcSDE and Oracle DB. The prototype system is also developed to display the runoff areas based on the GIS using the ArcGIS ArcObjects and spatial DB. The results will be applied to the flooding analysis based on the SWMM.

• Proceedings of the Korean Information Science Society Conference
• /
• 1998.10b
• /
• pp.33-35
• /
• 1998

CALS가 성공하기 위해서는 임의의 기관 혹은 개인 사이의 정보 유통과 정보 공유가 가능해야 하며 이를 위해서는 정보의 형식 및 의미에 관한 표준이 필요하다. 본 논문에서는 이러한 표준 중 제품의 설계 및 생산 등 기술적인 정보를 다루는 STEP 표준을 기반으로 분산 객체 지향 미들웨어 기술과 웹 인터페이스 기술, mediator 기술 등의 활용하여 CALS 체계 구축을 위한 Engineering DB의 모델을 제시하고 이에 대한 prototype 구현을 소개한다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.537-540
• /
• 2003

The importance of LCC analysis has been enlarged. Also, it would be necessary to computerize LCC analysis for accurate and logical analysis of LCC. In other papers, they showed LCC analysis model but the study of database development which could be applied in LCC analysis have been undeveloped. As a result, the final goal of this study is to develope LCC database. And this progress is devided 4 steps as design, construction, maintenance and disposal and derived the detailed cost item in the progresses. Futhermore, it would be possible to develope cost DB, fluent DB, general DB, building section DB, material DB and to propose database which would be applied in accurate and logical analysis of LCC.

• KIPS Transactions on Software and Data Engineering
• /
• v.9 no.3
• /
• pp.77-82
• /
• 2020

Most of the navigation in the vehicle has been developed based on a complex structure of PSF(Physical Storage Format) files, making it difficult to support incremental map updates. DB-based navigation is drawing attention as a next-generation navigation method to solve this problem. In DB-based navigation that supports incremental map updates, data fragmentation due to continuous map data updates can increase data access costs, which can lead to a decrease in search performance. In this paper, as one of the performance enhancement methods of DB-based navigation that supports incremental map updates, data fragmentation prevention techniques were presented and the performance improvement effect was verified through actual implementation.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.42 no.3 s.303
• /
• pp.23-30
• /
• 2005

As a human identification technique, gait recognition has recently gained significant attention. Silhouette-based gait recognition is one of the most popular methods. This paper aims to investigate features that determine the style of walking in silhouette-based gait recognition. Gait can be represented using two cues: static(shape) cue and dynamic(motion) cue. Most recently, research results have been reported in the literature that the characteristics of gait are mainly determined by static cue but not affected by dynamic cue. Unlike this, experimental results in this paper verifies that dynamic cue is as important as and in many cases more important than static cue. For experiments, we use two well-blown gait databases: UBC DB and Southampton Small DB. The images of UBC DB correspond to the 'ordinary' style of walking. The images of Southampton Small DB correspond to the 'disguised' (not ordinary by wearing special clothes or bags) style of walking. As results of experiments, the recognition rate was 100% by static cue and $95.2\%$ by dynamic cue for the images of UBC DB. For the images of Southampton Small DB, the recognition rate was $50.0\%$ by static cue and $55.8\%$ by dynamic cue. The risk against correct recognition was 0.91 by static cue and 0.97 by dynamic cue for the images of UBC DB. For the images of Southampton Small DB, the risk was 0.98 by static cue and 0.98 by dynamic cue. Consequently, the characteristics of ordinary gait are mainly determined by static cue but that of disguised gait by dynamic cue.

• Journal of the Korean Institute of Gas
• /
• v.7 no.2 s.19
• /
• pp.7-13
• /
• 2003

Abstract This paper presents new emission mechanism and emission estimation model in volatile organic compounds(VOCs) emission sources. Also classifies applicable emission reduction techniques and presents new economical evaluation method for each techniques. We ultimately developed VEER(VOCs Emission Estimation and Reduction) software, which is backed by above mentioned model, emission source DB, Chemical properties DB, meteorological DB, and emission factor DB. With VEER, users in enterprise, central government and local self-governing body can get reliable emission results easily, and choose suitable emission reduction techniques.

• Journal of Microbiology and Biotechnology
• /
• v.29 no.9
• /
• pp.1383-1390
• /
• 2019

In this study, we expressed cotA laccase from Bacillus subtilis on the surface of B. subtilis spores for efficient decolorization of synthetic dyes. The cotE, cotG, and cotY genes were used as anchoring motifs for efficient spore surface display of cotA laccase. Moreover, a $His_6$ tag was inserted at the C-terminal end of cotA for the immunological detection of the expressed fusion protein. Appropriate expression of the CotE-CotA (74 kDa), CotG-CotA (76 kDa), and CotY-CotA (73 kDa) fusion proteins was confirmed by western blot. We verified the surface expression of each fusion protein on B. subtilis spore by flow cytometry. The decoloration rates of Acid Green 25 (anthraquinone dye) for the recombinant DB104 (pSDJH-EA), DB104 (pSDJH-GA), DB104 (pSDJH-YA), and the control DB104 spores were 48.75%, 16.12%, 21.10%, and 9.96%, respectively. DB104 (pSDJH-EA) showed the highest decolorization of Acid Green 25 and was subsequently tested on other synthetic dyes with different structures. The decolorization rates of the DB104 (pSDJH-EA) spore for Acid Red 18 (azo dye) and indigo carmine (indigo dye) were 18.58% and 43.20%, respectively. The optimum temperature for the decolorization of Acid Green 25 by the DB104 (pSDJH-EA) spore was found to be $50^{\circ}C$. Upon treatment with known laccase inhibitors, including EDTA, SDS, and $NaN_3$, the decolorization rate of Acid Green 25 by the DB104 (pSDJH-EA) spore decreased by 23%, 80%, and 36%, respectively.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.5
• /
• pp.73-79
• /
• 2017

In this paper, we propose a design and implementation of a DB system for providing comprehensive information retrieval service about social economic information. We classify social economic organizations into 6 major categories and 35 small categories. The DB contains 25,938 social economic organizations in total. The DB system provides simple and intuitive interface for searching information such as keyword search, category search and initial search. Fully loaded time of webpage of implemented DB system achieved 2.3s by Vancouver, Canada Server.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2011.05a
• /
• pp.403-406
• /
• 2011

현재 DB 보안시스템에서 DB 서버의 주요정보 및 개인정보 등의 전체 오브젝트 정보를 파악하여 보안취약 오브젝트에 대한 인지 및 차단을 수행하고, 업무범위를 벗어난 접근 등에 대한 오남용을 방지하고, 보안취약점을 자체 점검해야 할 필요성이 있다. 본 논문에서는 현 기술로 제어 불가한 DB의 보안취약 오브젝트에 대한 추출과, 추출 정보의 저장 및 관리, 메모리에 적재 및 오브젝트 명과 정보의 치환 분석 등의 보안 적용방안을 연구한다. 또한 보안 대상 내 주요 오브젝트의 변경이력을 관리하고, 보안 취약 오브젝트의 스캔결과 및 정책의 기본관리, 예약수행관리, 관리자 통보 등의 관리방안을 연구한다. 보안 취약에 대한 사전 차단을 위한 제어가능 시스템과의 연동은 ESM 등 정보수집 모듈과의 연동 및 보안정책 적용결과에 대한 연동 및 정책 재적용 방안을 설계한다. 본 논문의 연구는 지능형 DB보안 기능구현을 가능케 할 자료로 사용될 것이다.