In response to the global transition towards carbon neutrality, there's an increasing emphasis on sustainable energy solutions, with offshore wind power playing a crucial role, especially in South Korea. This study presents an AI-based safety management system specifically designed for offshore wind operators. At the heart of this system is a machine learning algorithm that processes sensor data to automatically recognize human behavior and improve the accuracy of predicting worker actions and conditions. Such predictive analytics not only refines the analysis of behavioral patterns, but also increases the effectiveness of accident prevention. The results of this research are expected to significantly improve safety measures in offshore wind facilities and further sustainable energy initiatives.

To overcome the challenges in tracking insects underground, a detection method consisting of a metal detector and aluminum tag was developed for tracking a dung beetle, Copris ochus (Coleoptera: Scarabaeidae). First, detection rate was evaluated for varying volumes of aluminum tags varying orientations of the tags under soil. Then, the detection efficacy was evaluated in the field at varying depths of hidden tags in two types of vegetation. Finally, the effect of aluminum-tagging on the survivorship, burrowing depth, and horizontal movement of C. ochus adults were assessed. Generally, an increase in tag volume resulted in a greater detection depth with maximum depth of 17 cm. Orientation, however, did not affect detection rate except when tag was placed perpendicular to the soil surface. In the field, metal detectors could detect aluminum-tagged models with success rates ≥85% up to 10 cm and 45−60% at 20 cm under soil. Finally, no significant effect of tagging on survivorship and behaviors of C. ochus was observed.

Recently, automobile manufacturing companies, which are major customers of them, are requiring IATF 16949 (ISO/TS 16949) certification as a mandatory requirement to secure product quality. In particular, IATF 16949 : 2016, revised in October 2016, was reinforced product traceability requirements for production information management by lot in the production process. Therefore, small and medium-sized precision parts processing companies in the automobile industry are very difficult to survive due to quality and price competition for customers satisfaction. MES (Manufacturing Execution System) is required to solve this problem. However, small and medium sized precision parts processing enterprises are reluctant to introduce the MES which is not suitable for the manufacturing environment of them such as high cost and low utilization. Even if the system is introduced, it is difficult to operate and maintain the system because the lack of computer manpower. In this paper, we propose a method for building a lot tracking system for small and medium precision parts processing companies by reviewing relevant literature and analyzing cases. In addition, by managing the production history for each lot of the final product in the system, we will grasp the effect of reducing the quality failure cost obtained by minimizing the range of defect selection.

목적 : 본 연구의 목적은 안구운동이 동반된 주의력 훈련이 인지장애가 있는 뇌손상 환자의 주의력 및 인지능력 회복에 긍정적인 영향을 미치는 효과를 알아보기 위한 예비연구이다. 연구방법 : 인지장애가 있는 뇌손상 환자 7명에게 16주 동안 총 48회 안구운동이 동반된 주의력 훈련을 집중적으로 실시하였다. 중재 도구는 안구추적 연동형 주의력 훈련시스템인 컴퓨터 기반 인지재활 프로그램(Eye-tracking & ear system based Attention training System; EYAS)을 적용하였다. 중재 전후 인지능력의 변화를 알아보기 위하여 한국형 간이 정신상태검사(Mini-Mental State Examination for Korean; MMSE-K), 전산화 신경인지기능검사(Computerized Neuro-cognitive function Test; CNT), 운동시지각검사(Motor-free Visual Perception Test; MVPT)를 실시하였다. 결과 : 안구추적 연동형 주의력 훈련시스템으로 안구운동이 동반된 주의력 훈련을 참가자에게 중재 프로그램으로 적용한 후 주의력, 정보처리속도, 기억력 및 시지각이 향상되었다. 아이어스 중재 전보다 중재 후 MVPT 평균점수가 높았다(p<.01). MMSE-K 역시 평균 점수가 향상 되었다. 시각 주의력과 정보처리 속도에서 효과를 알아본 결과 CNT의 VCPT(Visual Continuous Performance Test)(p<.05)와 VCCPT(Visual Controlled Continuous Performance Test)(p<.01)에서 중재후가 중재전보다 평균점수가 높았다. 아이어스가 기억력에 긍정적인 영향을 미친다는 것을 CNT 평가를 통해 알 수 있었는데 CNT의 VST(Visual Span Test)(p<.01)와 DST(Digit Span Test)(p<.05)에서 평균점수가 향상되었다. 중재 후 VST 역순 검사에서는 평균값 상승이 있었고, DST 역순 검사에서는 중재 전후 평균값에서 유의한 차이를 보였다(p<.05). 결론 : 안구운동이 동반된 주의력 훈련은 인지저하가 있는 뇌손상 환자의 주의력, 정보처리 속도, 시지각, 기억력 향상에 긍정적인 영향을 준다는 가능성을 알 수 있었다. 안구운동은 주의력과 관련성이 있고, 주의력의 향상은 다른 인지능력에 긍정적인 영향을 줄 수 있다. 향후 연구에서는 구조화된 실험설계로 효과검증을 실시할 필요가 있다.

Block Chain is a technology that records and shares distributed ledgers without a central authority, providing a decentralized platform for transparent transactions in the business and enhancing transparency and traceability in all transactions to ensure trust in the transaction. Despite initial doubts about this technology, it is committed to adopting, adapting and improving the technology in a wide range of industries, including finance, government, security, logistics, food, medical, legal, and real estate. This study examines this technology, its applicability and potential benefits to the manufacturing supply chain. A tracking system of manufacturing supply chain to visualize transparency and traceability is implemented, and the conditions for adopting the technology in the manufacturing supply chain and the issues to be addressed are discussed.

HNS사고는 대규모 화재와 폭발을 수반하며, 다수의 인명사고와 주변지역에 극심한 환경오염을 야기함으로 신속한 의사결정을 통하여 광범위한 확산을 막아야 한다. 본 연구는 국내 HNS사고사례를 해상이라는 특수성이 반영된 표준코드를 바탕으로 고품질, 표준화, 디지털화된 HNS사고 데이터베이스를 구축하여 사고발생 시 신속하고 합리적인 의사결정을 지원하고, 체계적인 통합관리 및 공유가 가능한 HNS사고이력관리시스템(HATS)을 설계하고 구현하였다. 또한 개발된 시스템을 활용하여 23년간 수집된 국내 HNS사고데이터 76건에 대해 각 항목별로 통계분석을 수행하여, 국내에서는 매년 평균 3.3건의 사고가 일어나며, 주요 HNS사고요인은 춘계기간 (41%), 계류장 (51 %), 케미컬운반선 (49 %), 승무원에 의한 과실 (45 %), 자일렌류 (12 %)인 것으로 확인되었다. (괄호안 : 사고분류기준별 해당 사고요인의 퍼센트 비율임)

Uganda is a country blessed with the biggest number of mountain Gorillas in the whole world. These animals contribute at least 12% in revenue generation to the Tourism sector through tracking by both local and foreign tourists who pay for the tracking permits. However, Gorilla tracking is also a big challenge even in the presence of highly skilled and well-trained game rangers. Development and implementation of a secure Computer and Mobile based Gorilla Tracking (GT) system that uses GIS and GPS technologies would be the most ideal technology to use. Therefore, this study aimed to find out the critical factors that would affect the Behavioral Intention of the would-be users to successfully decide to use such GIS/GPS-GT system. We used the existing UTAUT model to integrate six factors such as Performance Expectancy, Effort Expectancy, Employee Peer Influence, Facilitating Conditions, Behavioral Intention and System Use. However, Infrastructure Availability and Non-Technical Facilitating Conditions were added to reflect Ugandan ICT context. This amended UTAUT model was used to carry out the survey. The questionnaire was emailed to 220 government employees in the fields of ICT, Tour and Travel, Environmental Groups officials and Farmers who garden near the game reserves. A total of 133 were obtained fully completed, whereas 127 were deemed usable thus yielding a response rate of 58%. The analysis results show that except for non-technical facilitating conditions, effort expectancy, peer influence, performance expectancy and infrastructure availability positively affects behavioral Intention to use GIS/GPS-GT. This indicates that people in Uganda don’t bother about regulations and rules in regard to using information system. As long as the system does what they want it to, anything else does not matter. As an employee in an organization is told to use a system by their supervisor, they have no objection to otherwise they risk losing their job. This implies that, supervisors have a great responsibility in the process of developing, implementing and using the system in Uganda.