Fueled by international efforts towards AI standardization, including those by the European Commission, the United States, and international organizations, this study introduces a AI-driven framework for analyzing advancements in drone technology. Utilizing project data retrieved from the NTIS DB via the “drone” keyword, the framework employs a diverse toolkit of supervised learning methods (Keras MLP, XGboost, LightGBM, and CatBoost) enhanced by BERTopic (natural language analysis tool). This multifaceted approach ensures both comprehensive data quality evaluation and in-depth structural analysis of documents. Furthermore, a 6T-based classification method refines non-applicable data for year-on-year AI analysis, demonstrably improving accuracy as measured by accuracy metric. Utilizing AI’s power, including GPT-4, this research unveils year-on-year trends in emerging keywords and employs them to generate detailed summaries, enabling efficient processing of large text datasets and offering an AI analysis system applicable to policy domains. Notably, this study not only advances methodologies aligned with AI Act standards but also lays the groundwork for responsible AI implementation through analysis of government research and development investments.

Odor is a type of air pollution where irritating substances enter through the olfactory system, causing discomfort. At present, the government is formulating various measures and policies to address this type of pollution. This paper seeks to analyze major research cases from both domestic and overseas settings in relation to odor management. In addition, it reviews the potential of addressing environmental issues using a living lab approach in conjunction with community mapping and citizen science. For example, in one domestic case, the Magok smart city living lab project, citizens’ data on community mapping of odor were collected for analysis using artificial intelligence (AI) to derive results. Additionally, in an overseas case in California, citizens directly participated in monitoring air quality using the Community-based monitoring (CBM) method, and both CBM and existing methods were used to assess the level of pollutants for effective data collection. In both of these cases, the potential to address environmental issues was seen to manifest through the development of citizens’ determination and ability to independently solve local problems. However, there are still problems in implementing citizen science, such as the lack of infrastructure and resources available, issues with data collection methodology, questions of objectivity regarding collected data, and concerns about sustainability and expertise in relation to civic participation. Addressing these problems would require an institutional foundation and systematic civic education. This study highlights the potential of addressing environmental problems inherent in the living lab system based on citizen science by analyzing two cases. In addition, this study suggests that if systematic civic education measures are introduced to address issues within existing citizen science research approaches, such measures would be valuable within the educational living lab framework in that they would become effective in tackling not only environmental problems but also social problems as well.

The Korea Laboratory Accreditation Scheme (KOLAS) is the national accreditation body responsible for providing accreditation services to testing and calibration laboratories. The primary objective of KOLAS is to promote the quality and reliability of laboratory testing by providing nationally and internationally recognized accreditation services. Laboratories accredited by KOLAS are required to meet rigorous international standards set by the International Organization for Standardization (ISO) and are subject to regular assessments to ensure ongoing compliance with the standards. KOLAS accreditation is highly regarded both domestically and internationally, and is recognized for providing high-quality and reliable testing services. The nuclear analysis laboratory at KINAC has been working to establish a quality management system to ensure the external reliability of analytical results and to secure its position as an authorized testing agency. To achieve this, a detailed manual and procedure for nuclear material analysis were developed to conform to the international standards of ISO/IEC 17025. This study presents the preparation process for establishing the management system, focusing on meeting technical and quality requirements for the implementation of the ISO/IEC 17025 standard in the KINAC nuclear analysis laboratory, specifically in the field of chemical testing (dosimetry, radioactive, and neutron measurement subcategories). The preparation process involved two tracks. The first track focused on satisfying technical requirements, with Thermal Ionization Mass Spectrometer (TIMS) and Inductively Coupled Plasma-Mass Spectrometer (ICP-MS) selected as the major equipment for analysis. Analytical methods for determining isotope ratios and concentrations of nuclear materials were determined, and technical qualification was ensured through participation in proficiency test programs, inter-experimenter comparison tests, and uncertainty reports. The second track focused on developing the quality system, including quality manuals, procedures, and guidelines based on the requirements of the ISO/IEC 17025 standard. Various implementation documents were produced during the six-month pilot period, in accordance with the three levels of documents required by the standard. Implementation of ISO/IEC 17025 is expected to have a systematic quality management process for the analysis lab’s operations and to increase confidence in KINAC’s nuclear analysis.

해양환경의 위험유해물질 배출규제는 주로 선박이나 해양시설 등으로부터의 오염규제에 한정되어 있기 때문에, 해안 인접 산업 시설들의 위험유해물질 배출 허용기준 및 배출 지침 수립 등의 해양배출제도의 수립 필요성이 제기되고 있다. 본 연구에서는 해양산업시 설의 위험유해물질 배출 허용기준 및 배출 지침 정보를 자세히 제공하고 있는 미국 환경보호청(US EPA)의 자료를 중심으로 허용기준 및 배출 지침 수립 등 배출 제도 체계를 소개하고 향후 국내 배출지침 적용에 대해 고찰했다.

본 연구는 부산광역시를 대상으로 열환경을 개선하기 위한 바람길 관리 방안 제안을 목적으로 한다. 이를 위해, Landsat-7 위성 열영상 자료와 공간통계 분석을 실시하여 부산광역시의 Hot spot과 Cool spot 지역 특성을 파악하였으며, WRF 기상모의를 통해 주요 바람길을 분석하였다. 그 결과, Hot spot 지역 중 열환경 개선이 요구되는 지역은 부산진구, 동래구, 연제구와 사상구 공업지역, 대규모 시설지역에는 부산항 부두로 나타났으며 주요 바람길에는 금정산~백양산~ 구덕산 계곡부로서 확인되었다. 이를 바탕으로 바람길 관리 전략을 제시하면 다음과 같다. 공업시설과 부산항 일대는 대기 온도 상승 요인으로서 주변 지역의 열환경을 악화시키므로 시설의 온도저감 및 바람길을 고려한 도시·건축계획이 요구된다. 바람길 관리가 필요한 지역으로 만덕동, 사직동 일대 산림에 대한 추가적인 훼손이 일어나지 않도록 하여야 하며, 산림과 인접한 지역의 대규모 고층아파트는 산림에서 생성된 차고 신선한 공기의 흐름을 방해하므로 금정산과 접해있는 제3종 일반주거지역의 신규·재개발에 따른 고층아파트 단지 조성은 지양해야 한다. 본 연구 결과는 부산광역시의 기후변화에 대응한 도시계획 및 환경계획수립 시 기초자료로 활용할 수 있을 것으로 기대한다.

The purpose of this study is to investigate the effect of organizational safety and health management activities on safety and health performance by using the results of safety activity level evaluation of public organizations. To this end, a research model was established by using three fields as independent variables among the four areas of the safety activity level evaluation index: safety and health system, safety and health activity plan, and safety and health activity level, and the safety and health activity performance field as a dependent variable. Correlation analysis and regression analysis between major variables were performed. As a result of the correlation analysis, the safety and health activity performance had a significant positive (+) correlation with all of the safety and health system, safety and health activity plan, and safety and health activity level. The safety and health system had a significant positive (+) correlation with the safety and health activity plan and safety and health activity level, and the safety and health activity plan had a significant positive (+) correlation with the safety and health activity level. And as a result of the regression analysis, it was found that the organization’s safety and health system, safety and health activity plan, and safety and health activity level all had a significant positive (+) effect on safety and health activity performance.

This paper presented a case of the ICT Innovation Centres in Primary Schools in Kenya for the effective operation and management of ICT integrated education based on the results of the centre users’satisfaction and improved competency in ICT in education. Global society pursed results-based management to materialize the principles of effective development cooperation. In line with the principle, the project team for establishing the Centres has supported the local operators to operate and manage the centres with the manual and surveyed to capture the results of the operation and management focusing on the users' satisfaction and competency. As result, these two centres encouraged the users to be exposed to use facilities and equipment for understanding ICT and applying it in their teaching and learning activities physically. In particular, these centres helped them to participate in community activities which were recognized as the foundation of sustainable operation and management of the centres. The teaching and learning environment significantly affected the users' satisfaction and improved competency. But, still, additional content would be required for enhancing the performance of the users. For the long-term results, this study proposed that the impact of using the centres should be monitored continuously to carry out tangible results of teaching and learning performance because the centres were operated less than a year and still required to stock relevant data.

도시가 발전하고 위생적이고 안전한 환경을 구축하기 위하여 지하 공간의 활용은 필수 불가결한 사항이다. 지하 공간의 개발이 진행될수록 시설물의 위치 관련 정보를 취득하고 관리하고자 다양한 기법이 적용되고 있으나, 현장에서 적용할 수 있는 정확한 정보는 부족한 실정이다. 본 연구에서는 이러한 지하시설물의 정보를 정확히 관리하고, 신뢰성에 기반한 현장 작업이 가능하도록 지하시설물 정보 품질 등급제의 세계적 현황을 조사하고 분석하였다. 연구 결과 정보 관리 선진국의 경우 지하시설물 정보에 대한 등급제를 통해 신뢰성에 기반한 관리가 이루어지고 있었으며, 이를 통해 활발한 현장 적용이 가능하였다.

In the maritime industry, most perceptions, frameworks and methodologies of dealing with hazards are for their risk assessment rather than their risk management. This tendency discloses the reality that within the maritime sectors in areas like shipping, logistics, oil and gas there is a lack of coherent Quantitative Risk Management (QRM) methodology from which to understand the risk-based decisions especially for appropriate risk management such as in seaports’ terminals. Therefore, in this paper initially, during priority assessment of the identified hazards, Fuzzy Set Theory was applied to handle imprecision of the uncertain risk-based statistics to get an accurate result. In the next stage, Fuzzy Fault Tree and Fuzzy Event Tree methods were used to achieve the sequence of quantitative risk analysis. In the final step, a Fuzzy Technique for Order of Preference by Similarity to Ideal Solution tool was used for the implementation of the mitigation phase to complete and conclude the proposed QRM cycle.

In this study, the Bayesian state-space model was used for the stock assessment of the Blackfin flounder. In addition, effective measures for the resource management were presentedwith the analysis on the effectiveness of fisheries management plans. According to the result of the analysis using the Bayesian state-space model, the main biometric value of Blackfin flounder was analyzed as 1,985 tons for maximum sustainable yield (MSY), 23,930 tons for carrying capacity (K), 0.000007765 for catchability coefficient (q) and 0.31 for intrinsic growth (r). Also the evaluation on the biological effect of TAC was done. The result showed that the Blackfin flounder biomass will be kept at 14,637 tons 20 years later given the present TAC volume of 1,761 tons. If the Blackfin flounder TAC volume is set to 1,600 tons, the amount of biomass will increase to 16,252 tons in the future. Lastly, the biological effectiveness of the policy to reduce fishing effort was assessed. The result showed that the Blackfin flounder biomass will be maintained at 13,776 tons if the current fishing efforts (currently hp) level is set and maintained. If the fishing effort is reduced by 20%, it will increase to 17,091 tons in the future. The analysis on the economic effect of TAC showed that NPV will be the lowest at 1,486,410 won in 2038, 20 years after the establishment of 2,500 tons of TAC volume. If the TAC volume is set at 2,000 tons, NPV was estimated to be the highest at 2,206,522,000 won. In addition, the analysis on the economic effect of the policy to reduce the amount of fishing effort found that NPV will be 2,235,592,000 won in 2038, 20 years after maintaining the current level of fishing effort. If the fishing effort is increased by 10%, NPV will be the highest at 2,257,575 won even thoughthe amount of biomass will be reduced.

PURPOSES : The purpose of this study is to analyze the improvement effect of the distributed arrangement of a vehicle base, which is a policy on maximizing the cost efficiency and timely/spatial effectiveness of special transportation system (STS) operation for improving the mobility of the elderly and disabled. METHODS: (1) The characteristics of the current distributed arrangement of an STS vehicle base in an urban area was analyzed. (2) The quantitative improvement effect was derived by analyzing the actual measurement of operation during STS distributed arrangement test operation in Namyangju city. RESULTS : (1) Cities with large area and populations, which have a distributed living zone in an urban area, have a higher distributed arrangement ratio than urbanized smaller cities. (2) Based on the effectiveness analysis of the STS distributed arrangement test operation, the total travel time and distance decreased. CONCLUSIONS : (1) For the STS distributed arrangement, parking spots, driver standby, and restrooms must be prepared. Facilitating STS as a public institution consignment makes it easier to secure a vehicle base and management by utilizing public facilities. (2) Implementing the STS distributed arrangement of vehicle base allows for efficient response to demand through effective management of vehicles, which eventually decreases travel time and distance. This decrease not only reduces management costs but also increases supply expansion without an increase in the number of vehicles.

PURPOSES : This study aims to create a pleasant environment by exploring ITS technology-based reduction measures to manage vehicles on the road, which are the main cause of traffic noise, while identifying the effects of traffic noise and various noise reduction measures. METHODS : A review of the literature identified the matters discussed mainly by reviewing the pre-examination and related statutes of traffic noise management measures at home and abroad. Furthermore, in the field investigation section, the variables affecting traffic noise (traffic volume, large vehicle mix rate, and driving speed) were investigated and the noise impact was analyzed using the three-dimensional (3D) noise prediction model (SounpdPLAN). RESULTS: The noise impact levels of the 3D noise prediction model were identified from various angles, such as horizontal and vertical, and traffic noise management measures for pre-real-time management and related DB utilization measures were proposed. CONCLUSIONS: Unlike the existing traffic noise management measures, which focus on follow-up management measures, it is believed that further research is needed to develop standards and related guidelines that meet regional characteristics by taking into account the characteristics of traffic noise and creating concrete and drawing action plans that can be used in future policies using ITS technology.