• Title/Summary/Keyword: appropriateness study

Search Result 1,203, Processing Time 0.033 seconds

Checklist Development for Preventing of Major Accidents of Formwork Using Gang-form (갱폼 공사 중대재해 사고 예방을 위한 체크리스트 개발)

  • Jeong Kyeongtae;Kim Siyu;Oh Jeongeun;Lee Donghoon
    • Journal of the Korea Institute of Construction Safety
    • /
    • v.5 no.1
    • /
    • pp.9-16
    • /
    • 2023
  • Gang-foam is used in many construction projects because it is not only precise in terms of vertical, horizontal, and specifications, but also easy to install and dismantle. However, major accidents occur every year due to non-compliance with safety rules and work order, also manuals and checklists currently in use are insufficient. Thirty-seven surveys was conducted by analyzing major accident cases of domestic gang-form construction project and deriving 20 risk factors and 43 check points. Based on the survey, the importance and appropriateness of check points were evaluated. As a result of this study, a checklist was presented, check points were placed in the order of importance based on assembly, installation, dismantling, and lifting of the Gang-form process. The checklist was organized so that workers could comply with safety rules and work order. Through this, it is expected to prevent major accidents and contribute to efficient safety management.

Efficient Attack Traffic Detection Method for Reducing False Alarms (False Alarm 감축을 위한 효율적인 공격 트래픽 탐지 기법)

  • Choi, Il-Jun;Chu, Byoung-Gyun;Oh, Chang-Suk
    • Journal of the Korea Society of Computer and Information
    • /
    • v.14 no.5
    • /
    • pp.65-75
    • /
    • 2009
  • The development of IT technology, Internet popularity is increasing geometrically. However, as its side effect, the intrusion behaviors such as information leakage for key system and infringement of computation network etc are also increasing fast. The attack traffic detection method which is suggested in this study utilizes the Snort, traditional NIDS, filters the packet with false positive among the detected attack traffics using Nmap information. Then, it performs the secondary filtering using nessus vulnerability information and finally performs correlation analysis considering appropriateness of management system, severity of signature and security hole so that it could reduce false positive alarm message as well as minimize the errors from false positive and as a result, it raised the overall attack detection results.

A Study of Cognitive Warfare and Ethical Issues: Focusing on Just War Theory (인지전과 윤리적 문제에 대한 연구: 정의전쟁론을 중심으로)

  • Sangsu Kim;Youngsam Yoon
    • The Journal of the Convergence on Culture Technology
    • /
    • v.9 no.3
    • /
    • pp.451-459
    • /
    • 2023
  • The purpose of this paper is to show the limitations of Just War Theory in evaluating ethical issues that can be raised in cognitive warfare, which is emerging as a new area of war. To this end, we will provide the background of cognitive warfare, derive the features of cognitive warfare based on conceptual analysis of cognitive warfare, and clarify the differences between cognitive warfare and traditional warfare. Afterwards, we will turn the discussion and take a look at the background and areas of Just War Theory as a theory that evaluates comprehensive ethical issues related to war. Then, we will elaborate what Just War Theory is and apply the ethical judgment criteria presented in the three areas of this theory, jus ad bellum, jus in bello, and jus post bellum, to cognitive warfare. Finally, we will evaluate the appropriateness of ethical judgment in cognitive warfare by applying criteria for each area and specify the limitations, thereby showing that Just War Theory has limitations as an ethical judgment criteria in cognitive warfare.

Development of Low Fat Mayonnaise Made with Modified Starch (변성전분을 이용한 저지방 마요네즈의 개발)

  • Song, Eun-Seung;Kim, Eun-Kyung;Woo, Na-Ri-Yah
    • Journal of the Korean Society of Food Culture
    • /
    • v.22 no.2
    • /
    • pp.254-260
    • /
    • 2007
  • This study was examined closely physiological activation and intended to present the possibility of developing food low-fat food. Developing carbohydrate fat replacer as materials for low-fat food made of Korean potato starch, it is expected that the new demand of fat replacer will be created. Potato starch was modified by chemical modification. The calorie of starch of GPS was measured to be 3.0 kcal/g, those of chemically modified starch, HPR showed 2.5 kcal/g respectively, suggesting that calorie is decreased by modified treatment. The appropriateness of processing food was experimented by substituting the existing oil and fat containing food with gel of starch and modified starch in constant rate through utilization of modified starch. When producing mayonnaise by substituting edible oil with gel of modified starch in 10-50%, calorie was reduced by 44${\sim}$45% when substituted by 50%, suggesting the potential of low-fat food. Measuring viscosity of mayonnaise by Brookfield viscometer, the mayonnaise with HPR showed high viscosity and the chemical modified starch group of EZ also showed high viscosity. Generally, the material property of mayonnaise tended to reduce in all measured items when oil and fat are substituted by starch substituting materials and the substituting materials increase. When it comes to the emulsification stability of mayonnaise with starch substituting materials, emulsification stability of all mayonnaise with starch substituting materials is lower than that of compared group. While the group with NL as commercial fat replacer showed emulsification stability which was slightly higher than group with modified starch and the substitution group of HPR showed higher emulsification stability. Sensory evaluation for low-fat mayonnaise by substituting oil the products substituted by modified starch was more preferred than general starch substituting products such as GPS. While NL as commercially fat replacer showed the hight preference, products with H40, EZ were also highly preferred.

3-Dimensional Strut-Tie Model Analysis and Design of Structural Concrete (콘크리트 구조부재의 3차원 스트럿-타이 모델 해석 및 설계)

  • Yun, Young Mook;Park, Jung Woong
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.26 no.3A
    • /
    • pp.411-419
    • /
    • 2006
  • In this study, a new approach employing 3-dimensional strut-tie models for analysis and design of 3-dimensional structural concrete with disturbed regions that are not properly occupied by current design codes is proposed. In addition, a computer graphics program for the practical application of the approach is developed. The approach adopts a grid strut-tie model to exclude the subjectivity in the selection of strut-tie model and evaluates the effective strength of concrete strut by considering the 3-dimensional failure criteria of concrete and the deviation angles between the struts and compressive principal stress trajectories. To verify the appropriateness of the approach, nine pile caps tested to failure are analyzed and a bridge pier is designed. The analysis and design results are compared with those obtained by several different methods.

Generation and Validation of Finite Element Models of Computed Tomography for Unidirectional Composites Using Supervised Learning-based Segmentation Techniques (지도학습 기반 분할기법을 이용한 단층 촬영된 단방향 복합재료의 유한요소모델 생성 및 검증)

  • Taeyi Kim;Seong-Won Jin;Yeong-Bae Kim;Jae Hyuk Lim;YunHo Kim
    • Composites Research
    • /
    • v.36 no.6
    • /
    • pp.395-401
    • /
    • 2023
  • In this study, finite element modeling of unidirectional composite materials of the computed tomography (CT) was conducted using a supervised learning-based segmentation technique. Firstly, Micro-CT scan was performed to obtain the raw volume of unidirectional composite materials, providing microstructure information. From the CT volume images, actual microstructure of the cross-section of unidirectional composite materials was extracted by the labeling process. Then, a U-net deep learning model was trained with a small number of raw images as inputs and their labeled images as outputs to generate a segmentation model. Subsequently, most of remaining images were input to the trained U-net deep learning model to segment all raw volume for identifying complex microstructure, which was used for the generation of finite element model. Finally, the fiber volume fraction of the finite element model was compared with that of experimentally measured volume to validate the appropriateness of the proposed method.

Analysis of Crime Prevention Effects of CCTV Installation (CCTV 설치로 인한 도시공간 범죄예방효과 분석)

  • Hye-Lim KIM;Sun-Young HEO;Tae-Heon MOON
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.26 no.4
    • /
    • pp.188-199
    • /
    • 2023
  • CCTV is widely used as a crime prevention method globally; however, there is insufficient evidence regarding its effectiveness. This study assesses the suitability of CCTV locations and their impact on crime prevention. First, to analyze the appropriateness of the location of CCTVs, we overlaid the locations of crimes and CCTV, and found that there are many cases where CCTV were placed where crime rarely occurred. Using various cases, we verified CCTV's crime prevention effectiveness. The WDQ was applied to comprehensively analyze the impact of CCTV surveillance area and surrounding areas to determine the crime prevention effect. As a result of the analysis, CCTV was found to be effective in preventing crime. In 53.09% of the cases, there was a diffusion effect of crime control benefits in the surrounding area, which was four times more than the cases with a transfer effect. Thus, strategically installing CCTV in appropriate locations enhances crime prevention effectiveness based on spatial analysis.

Using an appropriate rotation-based criterion to account for torsional irregularity in reinforced concrete buildings

  • Akshara S P;M Abdul Akbar;T M Madhavan Pillai;Rakesh Pasunuti;Renil Sabhadiya
    • Earthquakes and Structures
    • /
    • v.26 no.5
    • /
    • pp.349-361
    • /
    • 2024
  • Excessive torsional behaviour is one of the major reasons for failure of buildings, as inferred from past earthquakes. Numerous seismic codes across the world specify a displacement-based or drift-based criterion for classifying buildings as torsionally irregular. In recent years, quite a few researchers have pointed out some of the inherent deficiencies associated with the current codal guidelines on torsional irregularity. This short communication paper aims to envisage the need for a revision of the displacement-based guidelines on torsional irregularity, and further highlight the appropriateness of a rotation-based criterion. A set of 6 reinforced concrete building models with asymmetric shear walls are analysed using ETABS v18.0.2, by varying the number of stories from 1 to 9, and the torsional irregularity coefficient of various stories is calculated using the displacement-based formula. Since rotation about the vertical axis is a direct indication of the twist experienced by a building, the calculated torsional irregularity coefficients of all stories are compared with the corresponding floor rotations. The conflicting results obtained for the torsional irregularity coefficients are projected through five categories, namely mismatch with floor rotations, inconsistency in trend, lack of clarity in incorporation of negative values, sensitivity to low values of displacement and error conceived in the mathematical formulation. The findings indicate that the irregularity coefficient does not accurately represent the torsional behaviour of buildings in a realistic sense. The Indian seismic code-based values of 1.2 and 1.4, which are used to characterize buildings as torsionally irregular are observed to be highly sensitive to the numerical values of displacements, rather than the actual degree of rotation. The study thus emphasizes the revision of current guidelines based on a more relevant rotation-based or eccentricity-based approach.

A Study on Expected Dispute Arbitration in Supply Chain ESG Management: Focusing on the cases of POSCO and NAVER (공급망 ESG 관리에서 예상되는 분쟁 중재에 관한 연구 - 포스코와 네이버 사례를 중심으로 -)

  • Lee, Geonwoo;Lee, Jungeun;Lee, Hunjong
    • Journal of Arbitration Studies
    • /
    • v.34 no.1
    • /
    • pp.75-101
    • /
    • 2024
  • "ESG management" guides companies to prioritize corporate social responsibility and sustainable development as key management objectives, going beyond mere financial performance pursuits. This approach involves creating a sustainable and robust supply chain by urging companies, acting as 'supply chain managers', to implement ESG management practices alongside their 'supply chain partners'. The domestic business community has been quick to respond to this trend, recognizing that failure to adhere to ESG standards set by organizations such as the EU and SEC could lead to severe repercussions, including exclusion from international trade and reputational damage. POSCO and NAVER, two leading Korean companies, are at the forefront of practicing ESG management effectively. They have both produced and publicly disclosed ESG management reports, showcasing their success in enhancing supply chain ESG management. However, as supply chain managers enforce ESG-related obligations on their suppliers, the likelihood of disputes between the parties may increase. In scenarios where supply chain ESG management leads to conflicts between supply chain managers and suppliers, commercial arbitration emerges as a viable solution for dispute resolution. This method offers several advantages, including the arbitrators' expertise, time and cost efficiency, the binding nature of decisions akin to a court's final judgment, international recognition under the New York Convention, confidentiality, and ample opportunity for parties to be heard. Our analysis focuses on the emerging disputes between supply chain managers and suppliers within the context of supply chain ESG management, particularly examining the cases of POSCO and NAVER. By categorizing the expected types of disputes and assessing the appropriateness of commercial arbitration for their resolution, we highlight the effectiveness of this approach. Furthermore, we propose leveraging the Korean Commercial Arbitration Board's role to enhance the use of arbitration in resolving supply chain ESG disputes, underscoring its potential as a strategic tool for maintaining sustainable and harmonious supply chain relationships.

The Appropriateness of Probabilistic Rainfall of Disaster Impact Assessment System in Jeju Island (재해영향평가 적용 확률강우량의 적정성에 관한 연구 (제주도를 중심으로))

  • Hong-Jun Jo;Seung-Hyun Kim;Kwon-Moon Ko;Dong-Wook Lee
    • Ecology and Resilient Infrastructure
    • /
    • v.11 no.2
    • /
    • pp.55-64
    • /
    • 2024
  • The disaster impact assessment system was introduced in 2005 as a disaster prevention procedure for comprehensive and systematic developmental projects. However, according to the 'Practical Guidelines for Disaster Impact Assessment', Jeju Island's unique hydrogeological features necessitate the calculation of isohyetal-based probabilistic rainfall, which can reflect altitude, when estimating probabilistic rainfall for flood volume determination, rather than using conventional methods. Despite Jeju Island being centered around Hallasan, there are three Automatic Weather Stations (AWS) located at the summit of Hallasan, making weather stations denser than in other cities and provinces. Therefore, it is judged that there would be no difficulty in applying conventional methods, such as utilizing the probabilistic rainfall data from the weather stations or employing the Thiessen method, to estimate flood volumes for small-scale project areas. Accordingly, this study conducts a comparative analysis of the impact of applying general probabilistic rainfall from weather stations and isohyetal-based probabilistic rainfall in site in the context of Jeju Island's disaster impact assessment system.