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.

4차 산업혁명 시대에 건설산업은 전통적인 업무 방식에서 디지털 프로세스로 전환하고 있다. 특히, 건설산업의 특성으로 인해 업무 절차의 변경에는 어려움이 따르며, 점진적인 디지털 전환 및 시행착오가 발생하고 있다. 건설현장의 안전관리 분야도 역시 이 흐름을 따라 모든 데이터의 디지털화와 자동화를 목표로 연구 및 시도가 활발히 진행되고 있다. 그러나 최근의 통계에 따르면, 건설업 안전사 고는 계속해서 발생하고 있으며, 안전사고 사망자 수도 줄지 않고 있다. 본 연구는 이러한 문제를 해결하기 위해 건설공사 안전관리 종 합정보망의 빅데이터를 대규모 언어모델 인공지능을 통해 분석하였다. 분석된 결과는 실시간으로 업데이트가 가능한 상세설계모델 로부터 위치정보와 공간적 특성을 반영하여 안전관리가 필요한 현장모델링에 정보를 맵핑하였다. 해당 연구를 통해 건설현장 안전관 리 데이터의 디지털화를 통한 시설물 및 근로자의 안전을 강화하고, 건설사고 예방 및 효과적인 교육 지시를 위한 빅데이터 기반 안전 관리 플랫폼 개발을 목표로 한다.

Purpose: To determine whether artificial -intelligence quarantine robots can positively contribute to environmental management in medical institutions. We conducted in-depth interviews to understand the experiences of hospitalized patients receiving environmental management from such robots. Methods: Data were collected during March 20~May 20, 2023. individual in-depth interviews were conducted with 15 hospitalized patients, who could provide specific details of their experience of receiving environmental management from a quarantine robot. Results: Qualitative content analysis identified four themes, including “First encounter with an amazing and new quarantine robot,” “Efficiently performs non-face-to-face quarantine work in hospitals,” “Problems with quarantine robots,” and “Recommendations for improving the functionality of quarantine robots in medical institutions so quarantine robots and humans can coexist.” Conclusion: Currently, quarantine robots have limited functionality, and additional research is needed to identify various other functions in consideration of future infectious disease situations and the level of quarantine appropriate in a hospital.

The preliminary study was conducted on the use of navigation instruments and programs conducted in the previous demonstration and experiment of the training ship SAEBADA, real-time sharing and accuracy of land and sea information, and the development of real-time effective information transmission and reception and management system programs. Based on this, this study used the training ship CHAMBADA, which is similar in length to the tonnage of the fishing boat. The purpose is to present errors in ship situation-specific information data, alarm systems for marine information, and land and ship transmission and reception programs collected using intelligent information management systems to find out whether they can be applied and used in fishing boats. It plans to conduct research on direct and indirect safety and ship’s stability when the intelligent information management system operates in real time in the operation of ships considering the characteristics of small fishing boats and the characteristics of fishing.

The need for an intelligent information-based ship accident prevention and control system for various marine accidents is very clearly emerging. As it is a variety of marine accidents, the causes are diverse. Therefore, it can be said that it is very important to prevent these marine accidents and their causes in advance. Therefore, a study was conducted on an intelligent information-based ship safety management decision support system that provides information necessary for decision-making at sea and land through an integrated management device for ships that informs safety-related risks in real-time ship operation. In the future, we intend to pursue the development of a system that can aim for safer and more economical ship operation by linking it to navigation instruments through the evaluation and analysis of AI, IoT, and big data.

There has been a steady rate of accident in Coal Thermal Power Plants which have relatively higher chance of mortality. However, neither the systematic view of safety management nor the methodology such as safety factors or system requirements are yet to be studied in detail. Therefore, this study aims to propose a methodology to preemptively deal with safety issues and to secure fact focused responsibility in safety. It consists of two main parts. First, the Safety Measurement Index(SMI) with total 50 factors is proposed by analyzing the key factors that contribute to safety accidents based on failure mode and effect analysis (FMEA) and quality function deployment (QFD). To analyze the safety requirements, index presented by major countries and organizations are discussed. Second, main features of intelligent CCTV are studied to determine their relative importance for the framework of Smart Safety Management System (SSMS). Main features are discussed with four technological steps. Also, QFD was held to analyze to analyze how key technologies deal with Quality Measurement Index(QMI). The research results of this study reveal that scientific approaches could be utilized in integrating CCTV technologies into a smart safety management system in the era of Industry 4.0. Moreover, this reasearch provides an specific approach or methodology for dealing with safety management in Coal Thermal Power Plant.

현대조직에서 협력과 변화는 조직관리 측면에서 지속적인 주요 이슈로 평가되는데, 본 연구에서는 관 리자의 사회지능에서 그 역할의 시발점을 두고 있다. 구체적으로, 관리자의 사회지능이 추종자 욕구(친애, 성취)와 협력 및 변화와 관련된 행동(주도적 행동, 동료지향 도움행동)에 미치는 영향과 이들 관계에서 추종자의 친애와 성취 욕구의 매개효과를 구명하는데 그 목적이다. 연구대상은 서울과 제주지역에 소재 하고 있는 대규모 호텔 종사자를 대상으로 하였으며, 부서장(팀장)과 팀원을 쌍으로 설정하여 응답원천 분리방법으로 자료를 수집하였다. 실증분석에는 총 246쌍으로부터 획득된 자료가 이용되었으며, SPSS Macro 프로그램을 분석에 활용하였다. 가설검증 결과, 관리자의 사회지능은 추종자의 친애와 성취 욕구에 각각 긍정적인 영향을 미치고, 추종자의 주도적 행동과 동료지향 도움행동에도 긍정적 역할을 하는 것으로 확인되었다. 추종자의 친애와 성취 욕구를 고려한 매개효과에서 사회지능과 동료지향 도움행동의 경로에서 친애욕구의 매개효과만이 지지되었고, 그 외의 매개 경로에서 가설은 기각되었다. 본 연구의 주 요 결과는 관리자의 사회지능이 추종자의 욕구(친애, 성취)와 행동(주도적, 동료지향 도움행동)을 예측하 는 주요 원인이 됨을 보여주고 있으나, 관리자의 사회지능이 추종자 행동에 이르는 과정은 추종자 행동 유형에 따라 차이가 있음을 보여주고 있다. 본 연구는 조직맥락에서 사회지능의 적용대상을 지능의 주체 에서 상사로 지각대상을 확대하고 있으며, 관리자의 주요 특성으로서 사회지능의 역할과 효과성에 관한 의미 있는 결과를 제공하고 있다.

Most of metal cutting and processing companies are going through the difficulties such as frequent downtime and high failure rates by missing times to replace parts of CNC equipment. The reason is that the correct operation times of expensive CNC equipment can’t be calculated. In this paper, to solve this problem, we try to construct the intelligent production information system for a case company and analyze its expected effects. The effects are as follows. First, it saves money about 3 million won each year during the useful life of three years by reducing downtime and failure rates, and increasing production rates etc. Second, it makes easily find and fix the cause of faulty through traceability of the production process, and enables to perform a systematic facility management through the calculation of reliable equipment’s overall efficiency. This case can be easily applied in similar industries, and will contribute greatly to enhancing the competitiveness of related industries.

Most of metal cutting and processing companies are frequently used to mass-produce defectives by missing times to replace parts of CNC equipment. The reason is that the correct operation times of expensive CNC equipment can’t be calculated. In this paper, to solve these problems, we construct the intelligent production information system and analyze the expected effects.

목적 : 본 연구의 목적은 뇌졸중 환자에서 인지기능의 정도를 알고, 기초지능 및 관리지능의 차이와 뇌 병소 부위에 따른 인지기능을 살펴보았으며, 기초지능과 관리지능이 일상생활활동에 미치는 영향에 대해 알아보고자 실시하였다. 연구방법 : 연구대상은 병원에서 뇌졸중 진단 후 입원중인 108명이다. 인지기능의 측정은 노인용 인지검사(Cognitive Scale for Older Adults; CSOA)를 사용하였고, 일상생활활동의 평가는 운동처리기술평가(Assessment of Motor and Process Skills; AMPS)를 사용하였다. 자료 분석은 인지기능의 요약점수인 기초지능과 관리지능을 비교 분석하였고, 전전두엽과 기저핵의 병소 유무에 따라서 기초지능 및 관리지능을 비교 분석하였다. 또한 기초지능과 관리지능 중 어느 인지요인이 일상생활활동의 지표인 운동 및 처리기술에 더 영향을 미치는지 알아보았다. 결과 : 뇌졸중 환자의 80.5%가 인지적 손상을 보였고, 관리지능이 기초지능 보다 현저한 손상을 보였으며, 통계적으로 유의한 차이를 나타냈다. 4가지 병소부위에 따른 기초지능 및 관리지능에서 병소군 간 유의한 차이를 보였다. 이 중 전전두엽과 기저핵에 병소를 지닌 군과 두 곳 모두 병소를 갖지 않은 군의 관리지능에서 통계학적으로 유의한 차이를 나타냈다. 일상생활활동에서 운동기술에 영향을 주는 인지기능은 기초지능과 관리지능으로 나타났으며, 처리기술에서 는 관리지능만이 영향을 미치는 것으로 나타났다. 결론 : 본 연구는 뇌졸중 환자의 인지손상에서 관리지능의 중요성을 인식하였으며, 뇌졸중 환자의 재활평가 및 중재계획에 있어 관리지능이 중요하게 고려되어야 할 것이다.

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.