병충해의 조기 발견과 그에 따른 조치의 중요성은 농업 및 생태계 보전에 있어서 핵심적이다. 그러나 초기에는 일반적인 카메라나 센서로는 변화의 정도를 관측하기 어렵다. 이러한 한계를 극복하기 위해 초분광 모듈을 활용하여 파장대별 식 물 데이터를 관측함으로써, 딥러닝 모델을 통해 가로수 식생의 건강 상태를 판별, 병충해 여부를 초기에 확인 가능하다. 이를 통해 조기에 병충해에 대해 조치함으로써 더 큰 피해를 방지할 수 있다. 이러한 접근 방식은 농업 및 생태학 분야 에서 식물의 건강을 모니터링하고 보전하는 데 적극적으로 연구되고 있다.

본 연구에서는 도로법과 건설기술진흥법을 근간으로 하는 두 가지 기준체계를 가지고 있는 우리나라의 도로분야 건설 기준에 대해 조사하고, 이를 통합하여 체계적이고, 합리적으로 관리하기 위한 방안으로, 도로법에서 직접 위임하고 있는 도로의 구조ㆍ시설 기준에 관한 규칙에서 원칙과 기본사항을 정의하고, 계획, 설계, 시공 등 단계별로 요구되는 기술적인 사항은 건설기술진흥법에서 정하는 건설기준에서 정하고, 이를 적용하기 위한 대한 세부사항과 필요한 해설 등은 표준 도, 지침, 편람, 기술지도서, 업무요령 등 국토교통부 훈령인 건설기술진흥업무 운영규정에서 정하는 하위기술기준에서 정하도록 하는 체계를 제안하였다. 이를 위해, 현장에서 실효적인 기준처럼 활용되고 있으나, 건설기준 및 하위기술기준 들과 중복적인 위치를 가지며, 법적 근거 없이 국토교통부 일반 간행물로 발간되고 있는 도로의 구조ㆍ시설 기준에 관한 규칙 해설을 국토교통부 발간물에서 제외하고, 주요 내용을 건설기준과 하위기술기준에 통합하고 폐지 또는 민간 발간물 로 변경하는 방안을 제시하였다. 이를 통해 현장에서의 건설기준 활용도를 제고하고, 하위기술기준들과의 적용에서 사용 자 혼동을 방지할 수 있을 것으로 기대된다. 또한, 본 연구를 통해 제안하는 기준 체계상의 기준은 최소한 건설기준위원 회의 검토를 통해 제정 및 개정할 수 있도록 하는 근거를 마련하여 위계별 기준들의 체계적인 연계와 역할분담을 통해 국가 건설기준 체계를 보다 합리적으로 관리할 수 있을 것으로 기대한다.

한국건설기술연구원은 2016년 캄보디다 공공사업교통부 요청으로 건설인프라 및 건설관리 체계 현대화에 대한 기술설명회를 수행하였 으며, 2017년 국토 인프라 건설 분야 기술협력 및 캄보디아 건설기술연구원 시범 운영 지원을 위한 협력 MOU를 체결, 2018년에는 지 속적인 상호 호혜 협력 관리를 위한 캄보디아 현지에 공동사무실을 개소하였다. 국토교통 ODA 사업은 2018년 개최된 한-아세안 인프 라 장관회의에서 캄보디아 공공사업교통부(MPWT, Ministry of Public Works and Transport)에서 대한민국 국토교통부에 캄보디아 도로 건설 및 관리체계 현대화를 위한 지원을 공식적으로 요청하여 2020년부터 40억원 규모의 국토교통 ODA 사업으로 『캄보디아 도로건 설 및 관리체계 현대화 사업』을 지원하였다. 사업 추진체계는 국토교통부, 해외건설협회에서 발주하여 한국건설기술연구원(정부출연 연구기관), 한국도로공사(공기업)이 컨소시엄으로 구성하여 수행하였으며, 캄보디아측은 공공사업교통부(MPWT) 정부 주도하에 신생 조 직인 산하 공공사업교통연구소(TSIPWT)와 협업하여 지속가능한 도로건설 및 관리체계 현대화 사업을 추진하였다. 사업의 주요내용은 ①도로포장 건설 관리체계 현대화 ② 지속가능한 자립형 캄보디아 도로포장 기술시험소 설립 지원 ③ 시험 기자재 및 현장조사 장비 공여 및 운영 노하우 전수 ④캄보디아 도로포장 기술시험소 시범운영을 통한 자립화 ⑤ 해외사업 및 기술역량강화를 위한 인재 양성 으로 구성되어 있다. 본 사업은 2020년에 6월에 착수하여 2023년 10월에 수행하였으며, 캄보디아 정부 또한 미래 세대를 위한 지속가 능한 도로건설 및 관리체계 자립화의 초석으로 본 국토교통 ODA 사업이 성공적으로 수행되었으며, 양국 간 적극적으로 협력하고 있 으며, 2단계 사업을 2025년부터 2027년까지 3년 간 수행할 예정이다.

PURPOSES : In this study, a preliminary study on the optimal clustering techniques for the preprocessing of pavement management system (PMS) data was conducted using K-means and mean-shift techniques to improve the correlation between the dependent and independent variables of the pavement performance model. METHODS : The PMS data of Jeju Island was preprocessed using the K-means and mean-shift algorithms. In the case of the K-means method, the elbow method and silhouette score were used to determine the optimal number of clusters (K). Moreover, in the case of the mean-shift method, Scott’s rule of thumb and Silverman’s rule of thumb were used to determine the optimal cluster bandwidth. RESULTS : The optimal cluster sets were selected for the rut depth (RD), annual average daily traffic (AADT), and annual maximum temperature (AMT) for each clustering technique, and their similarities with the original data were investigated. Additionally, the correlation improvement between the dependent and independent variables were investigated by calculating the clustering score (CS). Consequently, the K-means method was selected as the optimal clustering technique for the preprocessing of PMS data. The K-means method improved the correlations of more variables with the dependent variable compared to the mean-shift method. The correlations of the variables related to high temperature—such as the annual temperature change, summer days, and heat wave days—were improved in the case wherein the AMT, a climate factor, was used as an independent variable in the K-means clustering method. CONCLUSIONS : The applicability of the clustering methods to preprocessing of PMS data was identified in this study. Improvements in the pavement performance prediction model developed using traditional statistical methods may be identified by developing a model using clustering techniques in a future study.

This study analyzes the importance-performance analysis (IPA) of the 10 dimensions of the smart construction safety management system, and analyzes which dimensions are important and which dimensions are performing to determine key improvement tasks, incremental improvement tasks, Maintenance and reinforcement tasks and continuous maintenance tasks were derived. Among the 10 dimensions of the smart construction safety management system, the dimensions that are recognized as important by all field managers and field workers and have high performance are the automatic risk displacement measurement system, smart environmental sensor system, and heavy equipment seizure prevention system. However, areas that were perceived as having high importance but low performance were worker location tracking systems, smart safety helmet chin muscles, and smart safety ring fastening. Among the smart construction safety management systems perceived by field managers, areas for key improvement with high importance and low performance included worker location tracking system and smart safety ring fastening. Among the smart construction safety management systems perceived by field workers, the area for key improvement with high importance and low performance was the automatic risk displacement measurement system.

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.

도로의 포장 상태의 노후화나 관리미흡으로 인하여 시민의 사유 재산 중 주요한 요소인 자동차 등의 손상이나 자동차 사고 로 이어질 수 있어 큰 사회적 비용이 발생할 뿐 아니라, 시민들의 불편과 불만을 초래할 수 있다. 최근 도로 포장의 경우 포트홀 발생 건수와 그에 따른 민원 및 소송 건수가 증가해 행정력 및 예산이 낭비되고 있으며, 서울시의 경우 포장도로 노후화 추이가 증가함에 따라 유 지 관리 비용 또한 증가하고 있다. SOC 시설물 안전성 강화에 대한 사회적 요구는 지속적으로 증가하고 있어 한정된 예산의 효율적 활용을 위한 첨단 유지관리기술 도입이 시급하다.

Background: Reproductive management practices play crucial roles to maximize the reproductive performance of cows, and thus contribute to farm profitability. We aimed to assess the reproductive management of cows currently practiced in the dairy farms in an urban farming system. Methods: A total of 62 dairy farms were randomly selected considering all size of farms such as small (1-5 cattle), medium (6-20 cattle) and large farms (> 20 cattle) from selected areas of Dhaka city in Bangladesh. The reproductive managementrelated parameters viz. estrus detection, breeding method, pregnancy diagnosis, dry cow and parturition management, vaccination and treatment of reproductive problems etc. were obtained in a pre-defined questionnaire during the farm visit. Results: The visual observation method was only used (100.0%; 62/62) for estrus detection irrespective of size of the farms; while farmers observed cows for estrus 4-5 times a day, but only for 20-60 seconds each time. Regardless of farm size, 89.0% (55/62) farms used artificial insemination (AI) for breeding the cows. Intriguingly, all farms (100.0%) routinely checked the cows for pregnancy at 35-40 days post-breeding using rectal palpation technique by registered veterinarian. However, only 6.5% (4/62) farms practiced dry cow management. Notably, all farms (100.0%) provided nutritional supplements (Vit D, Ca and P) during late gestation. However, proper hygiene and cleanliness during parturition was not practiced in 77.4% (48/62) farms; even though 96.7% (60/62) farms treated cows by registered veterinarian for parturition-related problems. Conclusions: While farmers used AI service for breeding and timely check their cows for pregnancy; however, they need to increase observation time (30 minutes/ observation, twice in a day: early morning and early night) for estrus detection, consider dry cow management and ensure hygienic parturition for maximizing production.

As a means to activate eco pastoral system in alpine grassland, the government can consider public pastures, which are currently unused, to scale them up into public ranches. Depending on ownership and operation, four management models proposed as follows: 1) Government-Owned and Operated with Balanced Profit and Loss 2) Government-Owned and Operated with Revenue Generation 3) Government-Owned but Privately Operated by Outsourced to Professional Manager 4) Full Privatization (Ownership and Operation by Private Individuals). The study outlined above proposes four management models for the activation of eco pastoral system in alpine grassland. It also suggests methods for the selection and performance evaluation of manager to establish a profitable structure. Additionally, the research provides management methods for the conservation of grazing ecology in pastoral ecosystems. Particularly, the adaptation of tools commonly used in South Korean business sector for the selection and performance evaluation of manager within the system of the proposed management models. This aspect is deemed valuable as it aligns these tools with the specific characteristics of eco pastoral system in alpine grassland, contributing not only to the effective implementation of the models but also to the enhancement of the revenue structure.

As discarded fishing gear settles or floats on the seabed, it destroys the spawning and habitat of fisheries resources that causes various safety accidents and adverse effects on the environment, such as generating microplastics and causing ship accidents. In order to solve this problem, this study is intended to present an implementation plan for establishing a fishing gear deposit system in order to use it as basic data for establishing policies for fishing gear management in Korea. In order to successfully implement the fishing gear deposit system, the deposit system must be established in the form of fishing gear completed at the production stage. It was found that the marking of the object should be easy, and that determining an appropriate deposit amount to motivate the return of waste fishing gear and establishing a convenient return procedure for returned waste fishing gear were important factors. In addition, transparent management of unreturned deposits and mandatory use of fishing gear subject to the deposit system for fishermen will be necessary. The role of a specialized organization to manage and operate all of these procedures is also very important. It is necessary to establish a new mandatory provision in the Fisheries Act to require fishermen who directly use fishing gear to use fishing gear with a deposit refund mark, and to ensure the implementation of the deposit system by linking it with the evaluation items of government policy projects. Since the main purpose of the deposit system is to collect discarded fishing gear, a support plan will be necessary in accordance with the purchase project for fishing waste salvaged by local governments in 2020.