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.

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.

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.

태양광 패널로부터 출력을 최대로 얻기 위해서는 신뢰성이 높은 태양광 추적 장치가 설계되어야 한다. 본 논문에서는 LabVIEW 프로그램을 이용하여 퍼지 제어를 기반으로 구현한 2축 태양광 추적 장치 시스템을 제작하여 그 성능에 대해서 알아보았다. 태양광 패널의 움직임을 제어하기 위한 구현된 퍼지 의사결정 시스템의 사용자 인터페이스를 통하여 모든 파라미터를 제어하고 확인할 수 있는 지능제어기와 기계적인 구동부분의 설계가 연구의 중심이 되고 있다. 실제 태양광 추적시스템을 개발하여 환경, 날씨, 계절 및 빛 상태와 같은 영향에 대해서 분석하였다. 태양광 추적장치는 실제 상황에서 시험하였고 시스템 동작과 관련된 모든 변수들은 기록되고 분석되었다. 제안한 태양광 추적시스템을 활용할 경우 고정식 패널에 비해 날씨에 따라 다르지만 최대 약 38% 정도의 더 높은 효율을 얻을 수 있어 자동으로 추적할 때 매우 좋은 결과를 얻을 수 있었다.

Recently, environmental problems associated with the excessive use of fossil fuel are hot issue throughout the world. As an alternative energy resource, the importance of renewable energy is continuously rising. Especially, growth rate of photovoltaic energy generation is one of the best. In this paper, floating PV generation system made of pultruded fiber reinforced polymeric plastic (PFRP) is discussed. It is well known that PFRP has many advantages such as high corrosion resistance, high specific strength/stiffness, etc. Compared with conventional construction materials. To investigate the structural behavior under flow induced dynamic loading, members and connections of members are tested under cyclic loading. It was found that the structural system is strong enough to resist such a cyclic loading.

The environment and requirements of modern war fields have been affected and thus changed by a variety of issues. To this end, the development of safety-critical weapon systems frequently need to meet those changes even in the operational phase. The necessity of the changes may be due to the preparation for mass-production or the request originated from the user military forces. To meet such a need can be even tougher in the development of safety-critical weapon systems since the integration of the requirements for both systems design and systems safety would make it troublesome. To handel the matter in this paper, utilization of architecture DB is proposed. Specifically, the situation in demand has first been analyzed and then a problem-solving process to accommodate the design changes has been constructed. In doing so, the concept of the aforementioned integration is particularly focused on the functional architecture, which could be a core concept of our approach to solving the problem. The result of a case study demonstrating the method studied using a computer-aided systems engineering tool is also presented.

KASI (Korea Astronomy and Space Science Institute) has developed an SLR (Satellite Laser Ranging) system since 2008. The name of the development program is ARGO (Accurate Ranging system for Geodetic Observation). ARGO has a wide range of applications in the satellite precise orbit determination and space geodesy research using SLR with mm-level accuracy. ARGO-M (Mobile, bistatic 10 cm transmitting/40 cm receiving telescopes) and ARGO-F (Fixed stationary, about 1 m transmitting/receiving integrated telescope) SLR systems development will be completed by 2014. In 2011, ARGO-M system integration was completed. At present ARGO-M is in the course of system calibration, functionality, and performance tests. It consists of six subsystems, OPS (Optics System), TMS (Tracking Mount System), OES (Opto-Electronic System), CDS (Container-Dome System), LAS (Laser System) and AOS (ARGO Operation System). In this paper, ARGO-M system structure and integration status are introduced and described.

Solar-cell Wafer 제조 공정에서는 각 공정 별로 품질 특성과 운전 조건을 측정하고 있다. 하지만 개별 이력추적이 되고 있지 않아 Input 정규성에 대한 부문이나, 선공정과 후공정 사이의 인과성, 공정 흐름에 따른 영향 파악이 힘든 실정이다. 공정 분석과 개선을 위해서는 특성치의 측정뿐만 아니라 공정 추적성의 확보가 필요하다. 99% 이상의 양품율을 유지하고 있는 공정이라도 인과성 확립 체계가 구축되어 있지 않다면 통계 분석 등을 이용한 공정 관리나 개선이 불가능하다. Marking System 구축으로 공정 추적성이 확보된다면 인과 분석 등 통계 분석을 활용한 공정 관리 및 개선으로 등급의 상향과 고효율, 고출력 제품 양산이 가능하며 보다 더 진보된 공정 관리 능력을 가질 수 있을 것으로 사료된다. Edge Isolation 공정을 중심으로 Laser Marking Machine를 이용하여 사이클타임의 손실 없이 각 Wafer의 소재입고부터 각 공정에 있어 이력추적이 가능하고, 샘플 기법과 Laser의 특성을 잘 활용할 수 있는 경제적이고 효율적인 Wafer Marking System을 개발하는 것이 이 연구의 목적이다.

In these days, mobile technology such as smart phone and GPS have an effect on business processes of many companies especially a transportation company. The purpose of this paper is to present the development processes of real time vehicles tracking and intelligent TMS(Transportation Management System) using smart phone applications. The objective of this study is two-fold. The first is to redesign business process of the transportation company. Using BPR(business process re-engineering), we analyze current processes to find opportunities for improvement redefining processes after adopting mobile technology precisely. The second is to develop the real time vehicles tracking and intelligent TMS. Proposed system consists of four parts: (1) intelligent TMS(web system) (2) real time vehicle tracking application for TMS (3) real time tracking application for customer (4) salesman supporting application. Developed system was tested at the transportation company and was found to be useful system.

연안해역의 실시간 통항안전관리시스템을 구축하기 위해서 대상해역의 자연적 환경특성, 지리적 특성, 교통특성, 통항선박의 통항패 턴 등을 기초데이터로 한 통합 위험도 평가 모델의 개발이 필요하다. 유럽과 미국에서는 이미 해상 위험도를 모델링 하여 정량적으로 표준화된 형태로 해상의 위험도를 평가하고 있다. 국내의 경우 항구별 자연환경적 여건, 해양사고의 통계, 기상상황, 해상교통밀도 및 패턴을 가지고 우리 나라 상황에 적합한 정량화 모델이 세워져야 한다. 본 연구는 VMS 고도화의 관점에서 연안해역의 실시간 통합안전 관리시스템의 개발 방향을 제시하기 위하여 이루어 지고 있다.

Door to door service is a typical method for individual parcel deliveries. In the current delivery information system, a delivery person manually inputs the information of many delivery results, which causes inefficiency and difficulties of tracking deliveries. This study suggests an enhanced delivery information system which has the following two characteristics. Firstly, a tagged RFID(Radio Frequency Identification) transmits the delivery result information to the main server by just collecting RFID at a place of destination. Secondly, with the characteristics of rewritable method, the collected RFID is to be input new information and tagged to other parcels.