At a time when the demand for drones is increasing, a plan to utilize drone images was sought for efficient promotion of cadastral resurvey. To achieve the purpose of this study, the technical and legal status of drone images was reviewed, and through this, the possibility of using it for cadastral resurvey was primarily reviewed. subsequently, an experiment was conducted targeting the project district to examine whether drone images were applied to boundary extraction, which is the primary process of cadastral resurvey. As a result of the experiment, it was found that boundary extraction from images is possible. However, in some cases, it is impossible due to field conditions or image quality. Therefore, it is necessary first to apply cases where boundary extraction is possible to cadastral resurvey and seek solutions for some impossible cases. In particular, the image quality problem may have problems with the current technology, but it will also have problems with the existing drone equipment. So, standard for drone calibration should also be established. Finally, the cadastral resurvey surveying procedure using drones was also presented.

In this study, changes in the microbial ecosystem of the Yeongheungdo island coastal waters were investigated for five years to collect basic data. To evaluate the influence of distance from the coast on the microbial ecosystem, four sites, coastal Site (S1) and 0.75, 1.5, and 3 km away from the coast, were set up and the changes in physicochemical and biological factors were monitored. The results showed seasonal changes in water temperature, dissolved oxygen, salinity, and pH but with no significant differences between sites. For nutrients, the concentration of dissolved inorganic nitrogen increased from 6.4 μM in April-June to 16.4 μM in July-November, while that of phosphorus and silicon phosphate increased from 0.4 μM and 2.5 μM in April-June to 1.1 μM and 12.0 μM in July-November, respectively. Notably, phosphorus phosphate concentrations were lower in 2014-2015 (up to 0.2 μM) compared to 2016-2018 (up to 2.2 μM), indicating phosphorus limitation during this period. However, there were no differences in nutrients with distance from the coast, indicating that there was no effect of distance on nutrients. Phytoplankton (average 511 cells mL-1) showed relatively high biomass (up to 3,370 cells mL-1) in 2014-2015 when phosphorus phosphate was limited. Notably, at that time, the concentration of dissolved organic carbon was not high, with concentrations ranging from 1.1-2.3 mg L-1. However, no significant differences in biological factors were observed between the sites. Although this study revealed that there was no disturbance of the ecosystem, further research and more basic data on the microecosystem are necessary to understand the ecosystem of the Incheon.

On pig farms, the highest mortality rate is observed among nursing piglets. To reduce this mortality rate, farmers need to carefully observe the piglets to prevent accidents such as being crushed and to maintain a proper body temperature. However, observing a large number of pigs individually can be challenging for farmers. Therefore, our aim was to detect the behavior of piglets and sows in real-time using deep learning models, such as YOLOv4-CSP and YOLOv7-E6E, that allow for real-time object detection. YOLOv4-CSP reduces computational cost by partitioning feature maps and utilizing Cross-stage Hierarchy to remove redundant gradient calculation. YOLOv7-E6E analyzes and controls gradient paths such that the weights of each layer learn diverse features. We detected standing, sitting, and lying behaviors in sows and lactating and starving behaviors in piglets, which indicate nursing behavior and movement to colder areas away from the group. We optimized the model parameters for the best object detection and improved reliability by acquiring data through experts. We conducted object detection for the five different behaviors. The YOLOv4-CSP model achieved an accuracy of 0.63 and mAP of 0.662, whereas the YOLOv7-E6E model showed an accuracy of 0.65 and mAP of 0.637. Therefore, based on mAP, which includes both class and localization performance, YOLOv4-CSP showed the superior performance. Such research is anticipated to be effectively utilized for the behavioral analysis of fattening pigs and in preventing piglet crushing in the future.

We aimed to investigate the effect of environmental enrichment via toys on the behaviour and performance of weanling pigs. A total of 300 pigs (LYD) were housed in different pens with ten pigs per replicate and ten pigs per head divided into 3 groups. Group 1 was called “CON” and received no toys, group 2 was TOY-2, and pigs in this group had access to toys in the first 2 weeks, and lastly, pigs in TOY-4 were given toys in the fourth week. The pigs had access to feed and water ad-libitum. The individual pig behaviours in each group was recorded on days 14 and 28 (d 14 and 28) with a video camera for accuracy. The results showed higher (p<0.05) overall ADG in TOY-4 compared with CON, while the overall ADFI was higher (p<0.05) in TOY-supplemented groups compared to CON. Diarrhea incidence and fecal score were lower on D 14 in TOY-supplemented groups compared with CON. Behavioural features such as ear biting and fighting were lower (p<0.05) in TOY-supplemented groups compared with CON on D 14. Tail biting was lower (p<0.05) in TOY-2 compared with CON at D 14. Conversely, at D 28, tail biting was lower (p<0.05) in TOY-4 compared with CON. The ADG improved due to the toy supplied to reduce undesirable social behaviours. We concluded that the environmental enrichment of pens with toys can help to improve the welfare in weaning pigs, leading to a greater survivability and more production thereby improving farmer incomes.

본 연구의 목적은 회복탄력성이 정보처리에 미치는 영향을 연구하기 위함이다. 본 연구에서는 남자 고등학생 39 명을 무작위로 추출한 다음 회복탄력성 척도(KRQ-53) 점수에 따라 상위집단(13명), 중간집단(13명), 하위집단(13명) 에 무선 할당하였다. 실험 과제는 단순반응시간, 선택반응시간-1, 그리고 선택반응시간-2 였다. 피험자가 과제를 실시 하는 동안 Fp1, Fp2, F3, F4, Fz, Cz, Pz, C3 영역에서 사상관련전위(ERP)를 측정하였다. 본 연구의 결과, 첫째 세타 파의 경우 중간집단이 상위 및 하위 집단보다 높게 나타났다. 둘째, 알파를 분석한 결과, 상위집단이 중간 및 하위집 단보다 알파파가 높게 나타났다. 셋째, 미드-베타파를 분석한 결과 하위 및 중간집단의 미드 베타파가 상위집단보다 높은 것으로 나타났다. 넷째, P300 진폭은 선택반응시간-1에서 회복탄력성 중간집단이 상위 및 하위집단보다 높게 나타났다. 본 연구의 결과는 회복탄력성 수준에 따라 정보처리가 다르게 나타난다는 것을 보여준다.

본 연구는 습지의 중요성에 대한 연구이며, 경남 합천군 대양면 소재의 정양늪생태공원을 연구하였다. 먼저 기초조사를 바탕으로 시설물, 이용프로그램, 접근성 등을 조사하고 설문조사를 실시하였다. 설문 내용은 일반적인사항, 생태이용프로그램 조사, 이용행태조사, 이용만족도 조사, 도입 시설 및 프로그 램 만족도를 조사하였다. 그 결과 상당수의 설문에서 성별, 연령별 차이가 다소 나타났으며, 그에 대한 성별, 연령별 각각의 맞춤 서비스가 필요한 것으로 파악이 되었다. 연구를 종합적으로 살펴보면 타 생태 공원과의 차이보다 전체적인 시설물과 이용프로그램의 부제와 정양늪생태공원만의 특성 있는 역사적 이고 지역적인 시설물과 이용프로그램을 개발 육성하고 성별, 연령별 각각의 맞춤 서비스를 실시하는 것이 시급하다. 먼저 정양늪생태공원의 이용프로그램의 다양화가 필요하며, 본 연구에서 나타났듯이 성별, 연령별 그리고 지역특성적 이용프로그램의 개발이 시급하다. 다음으로는 이용공간의 다원화인 데 가장 시급한 것이 통합적 공간의 확충과 지역특성적 공간의 확충이 필요하다. 마지막으로 정양늪생 태공원의 이용시설의 관리 및 정비 인원을 확충하는 것이다. 이상의 연구결과로 유사한 습지에서도 기 초자료로 활용될 것으로 판단된다.

As the importance of artificial intelligence grows rapidly and emerges as a leader in technology, it is becoming an important variable in the next-generation industrial system along with the robot industry. In this study, a safety system was developed using deep learning technology to provide worker safety in a robot workplace environment. The implemented safety system has multiple cameras installed with various viewing directions to avoid blind spots caused by interference. Workers in various scenario situations were detected, and appropriate robot response scenarios were implemented according to the worker's risk level through IO communication. For human detection, the YOLO algorithm, which is widely used in object detection, was used, and a separate robot class was added and learned to compensate for the problem of misrecognizing the robot as a human. The performance of the implemented system was evaluated by operator detection performance by applying various operator scenarios, and it was confirmed that the safety system operated stably.

본 연구는 인체 및 온혈 동물의 기회감염 병원세균으로 알려진 Pseudomonas oryzihabitans에 의한 양파 구에 발생한 중심 흑화병의 첫 보고이다. 본 연구의 목적은 양파 구 흑화병을 일으키는 원인 병원체를 분리 및 동정하고 미생물학적 특성을 조사하는데 있다. 2021년 국내 양파 구에서 소비자 혐오감을 유발할 수 있는 세균 흑화병이 관찰되었다. 흑갈색 색소가 침착된 조직과 흑색 색소 과육 조직에서 그람음성, 비포자형성, 막대형 pseudomonad들이 분리되었다. 병원성 검정을 통해 형성된 인공 감염후 발생한 증상은 자연 감염과 같았고 멸균 증류수를 처리한 음성 대조구에서는 흑화병이 발견되지 않았다. 병원성 검정, API (analytical profile index) 시험, MALDI-TOF MS (Whole-cell matrix-assisted laser desorption/ionization time-of-flight mass spectrometry), 16S rRNA 유전자 영역 염기서열분석 및 유전적 유연관계분석을 통해 원인 병원체를 Pseudomonas oryzihabitans로 동정하였다. 대규모 포장 또는 수확후병으로 인한 양파 피해사례가 보고된 적은 없지만, 본 연구에서 얻은 결과는 P. oryzihabitans가 잠재적으로 양파의 글로벌 생산 및 운송과 식품 안전을 위협할 수 있음을 시사한다. 또한 인체 기회감염 병원체이기 때문에 양파로부터 언제든지 인체로 감염될 수 있는 위험성을 갖고 있다고 볼 수 있다.

본 연구에서는 콘크리트의 내구성 및 낮은 인장강도를 향상시키기 위해 개발된 폴리비닐알콜(PVA) 혼입 시멘트 복합 체의 내약품성을 평가하였다. 시멘트 복합체에 대한 PVA 혼입률은 0%, 1.0%, 1.2%로 설계되었다. 각 혼입률에 따른 시멘트 복 합체의 압축강도, 인장강도, 휨강도를 측정하였다. 결과적으로 1.2% 혼입률에서 압축강도는 1.3배, 인장강도는 5.6배, 휨강도는 17.9배 증가하였다. 내약품성 실험을 위해 염화칼슘, 황산나트륨, 그리고 황산 용액에 시멘트 복합체를 침지시킨 후 30일, 40일, 50일 후 질량 소실률을 측정하여 내화학성을 평가하였다. 내화학성 실험 결과, PVA 혼입은 약품의 침투를 방지하여 시멘트 복 합체의 내화학성을 향상시키는 것으로 나타났다. 총체적으로, PVA 혼입은 시멘트 복합체의 내화학성을 향상시키는 동시에 강도 특성을 제공하는 것으로 확인되었다.

철근콘크리트 구조물의 동결융해, 염해, 부식 등의 열화 현상으로 인해 구조물의 노후화가 발생되고 있다. 노후화로 인해 성능이 저하된 구조물의 성능 복원을 위해 FRP를 활용한 보수보강이 수행되고 있다. 본 논문에서는 동결융해 작용을 받은 철근콘크리트 보에 카본판재와 카본섬유로 휨 보강하여 동결융해 및 보강에 따른 철근콘크리트 보의 휨 성능을 비교 분석한 실 험적 연구 결과를 제시하였다. 이를 위해 철근콘크리트 보를 제작하여 300회의 동결융해를 수행한 후 카본판재와 카본섬유로 휨보강을 하여 성능 실험을 수행하였다. 실험 결과, 동결융해로 철근콘크리트보의 항복강도는 11% 감소하였으며, 동결융해를 입 지 않은 철근콘크리트보의 항복강도 보강성능은 20%, 동결융해를 입은 후 보강된 철근콘크리트 보의 보강성능은 19%으로 나타 났다. 에너지소산능력을 분석한 결과 본 연구에서 수행한 CFRP 보강이 동결융해로 열화된 철근콘크리트 보의 휨 보강에 유리 한 것으로 나타났다.

본 연구는 중 장년층의 노후준비가 삶의 만족도에 미치는 영향요인에 관한 연구를 중심으로 검증하였으며, 중 장년층의 노후준비에 대한 신체적, 경제적, 정서적, 여가적준비의 중요성을 제시하여 노후에 안정된 삶을 영위아여 만족도 를 높이는데 기여하고자 한다. 연구결과 중 장년층의 노후준비가 삶의 만족도에 영향을 미치고 신체적, 경 제적, 여가적, 정서적으로는 모든 하위변인에 삶의 만족도가 높은 영향을 가지 고 있어 중요한 요인임을 확인하였다. 본 연구는 중 장년층의 노후준비가 삶의 만족도에 미치는 영향을 검증함으로써 노후준비에 중 장년층의 정서적준비를 강조하였다는 점과, 신체적, 경제적, 여가적인 부분까지 노후준비에 필요한 부 분으로 중 장년층의 삶의 만족도를 이룰 수 있는 방향을 제시함에 의의가 있 다.

먼지 필터 막은 인간의 건강, 안전 및 환경 보호의 몇 가지 중요한 측면에 기여하기 때문에 인간의 삶과 다양한 산업에서 중요한 역할을 한다. 이 연구는 고온 조건에 대한 우수한 열안정성과 접착 특성을 가진 polysulfone@polyphenylene sulfide/polytetrafluoroethylene (PSf@PPS/ePTFE) 복합 먼지 필터 막의 개발을 제시한다. FT-IR 분석은 PSF 접착제가 PPS 직 물에 성공적으로 함침되고 ePTFE 지지체와의 상호 작용을 확인한다. FE-SEM 이미지는 향상된 섬유 상호 연결 및 PSf 농도 와 함께 접착력을 보여준다. PSf@PPS/ePTFE-5는 가장 적합한 다공성 구조를 보여준다. 복합 막은 400°C까지 예외적인 열 안정성을 보여준다. 박리 저항 테스트는 먼지 여과에 대한 충분한 접착력을 보여 공기 투과성을 희생시키지 않고 힘든 고온 조건에서 신뢰할 수 있는 성능을 보장한다. 이 막은 산업 응용 분야에서 유망한 잠재력을 제공한다. 더 나아가 최적화 및 응 용 가능성을 탐구할 수 있다.

PURPOSES : This paper proposes an artificial neural network (ANN)-based real-time traffic signal time design model using real-time field data available at intersections equipped with smart intersections. The proposed model generates suitable traffic signal timings for the next cycle, which are assumed to be near the optimal values based on a set of counted directional real-time traffic volumes. METHODS : A training dataset of optimal traffic signal timing data was prepared through the CORSIM Optimal Signal Timing program developed for this study to find the best signal timings, minimizing intersection control delays estimated with CORSIM and a heuristic searching method. The proposed traffic signal timing design model was developed using a training dataset and an ANN learning process. To determine the difference between the traditional pre-time model primarily used in practice and the proposed model, a comparison test was conducted with historical data obtained for a month at a specific intersection in Uiwang, Korea. RESULTS : The test results revealed that the proposed method could reduce control delays for most of the day compared to the existing methods, excluding the peak hour periods when control delays were similar. This is because existing methods focus only on peak times in practice. CONCLUSIONS : The results indicate that the proposed method enhances the performance of traffic signal systems because it rapidly provides alternatives for all-day cycle periods. This would also reduce the management cost (repeated field data collection) required to increase the performance to that level. A robust traffic-signal timing design model (e.g., ANN) is required to handle various combinations of directional demands.

PURPOSES : This study aims to develop and validate timing transition techniques for real-time traffic signal operations, departing from conventional methods based on past commuting traffic patterns. METHODS : In this study, we propose two traffic signal transition techniques that can perform transitions while minimizing disruptions within a short period. The Proposed 1 technique involves an unconditional transition within one cycle and allows for the allocation of offset changes to both the coordinated and non-coordinated phases. The Proposed 2 technique performs transitions within 1-2 cycles based on the offset change rate and considers the non-coordinated phase for allocating offset changes. RESULTS : Functional improvements of the proposed techniques were validated. For validation, simulated traffic signal transition scenarios were created, and a comparative analysis of the transition techniques was performed based on the selected analysis approaches. The results showed that the Proposed 1 technique exhibited the lowest delay during the approximated saturated transitions, whereas the Subtract technique showed the lowest delay during the non-saturated transitions. CONCLUSIONS : These findings emphasize the importance of selecting and applying appropriate transition techniques tailored to individual traffic scenarios. The proposed transition techniques provide valuable insights for improving real-time traffic signal operations, and contribute to the overall efficiency and effectiveness of traffic management in highway corridors.

PURPOSES : Because a driving simulator typically focuses on analyzing a driver’s driving behavior, it is difficult to analyze the effect on the overall traffic flow. In contrast, traffic simulation can analyze traffic flow, that is, the interaction between vehicles; however, it has limitations in describing a driver’s driving behavior. Therefore, a method for integrating the simulator and traffic simulation was proposed. Information that could be controlled through driving experiments was used, and only the lane-change distance was considered so that a more natural driving behavior could be described in the traffic flow. METHODS : The simulated connection method proposed in this study was implemented under the assumption of specific traffic conditions. The driver’s lane-changing behavior (lane-changing distance, deceleration, and steering wheel) due to the occurrence of road debris was collected through a driving study. The lane-change distance was input as a parameter for the traffic simulation. Driving behavior and safety were compared between the basic traffic simulation setting, in which the driver's driving behavior information was not reflected, and the situation in which the driving simulator and traffic simulation were integrated. RESULTS : The number of conflicts between the traffic simulation default settings (Case 1) and the situation in which the driving simulator and traffic simulation were integrated (Case 2) was determined and compared for each analysis. The analysis revealed that the number of conflicts varied based on the level of service and road alignment of the analysis section. In addition, a statistical analysis was performed to verify the differences between the scenarios. There was a significant difference in the number of conflicts based on the level of service and road alignment. When analyzing a traffic simulation, it is necessary to replicate the driving behavior of the actual driver. CONCLUSIONS : We proposed an integration plan between the driving simulator and traffic simulation. This information can be used as fundamental data for the advancement of simulation integration methods.

This study aimed to address the limitations of traditional plasma nitriding methods by implementing a short-term plasma oxy-nitriding treatment on the surface of AISI 420 martensitic stainless steel. This treatment involved the sequential formation of nitride and oxide layers, to enhance surface hardness and corrosion resistance, respectively. The process resulted in the formation of a 20 μm-thick nitride layer and a 3 μm-thick oxide layer on the steel surface. Initially, the hardness increased by 2.2 times after nitriding, followed by a subsequent decrease of approximately 31 % after oxidation. While the nitriding process reduced corrosion resistance, the subsequent oxidation process led to the formation of a passive oxide film, effectively resolving this issue. The pitting corrosion of the oxide passive film started at 82.6 mVssc, providing better corrosion resistance characteristics than the nitride layer. Consequently, the trade-off between surface hardness and corrosion resistance in plasma oxy-nitrided AISI 420 martensitic stainless steel is anticipated to be recognized as an innovative and comprehensive surface treatment process for biomedical components.

Porous ceramics are used in various industrial applications based on their physical properties, including isolation, storage, and thermal barrier properties. However, traditional manufacturing environments require additional steps to control artificial pores and limit deformities, because they rely on limited molding methods. To overcome this drawback, many studies have recently focused on fabricating porous structures using additive manufacturing techniques. In particular, the binder jet technology enables high porosity and various types of designs, and avoids the limitations of existing manufacturing processes. In this study, we investigated process optimization for manufacturing porous ceramic filters using the binder jet technology. In binder jet technology, the flowability of the powder used as the base material is an important factor, as well as compatibility with the binder in the process and for the final print. Flow agents and secondary binders were used to optimize the flowability and compatibility of the powders. In addition, the effects of the amount of added glass frit, and changes in sintering temperature on the microstructure, porosity and mechanical properties of the final printed product were investigated.

One-dimensional MgO nanostructures with various morphologies were synthesized by a thermal evaporation method. The synthesis process was carried out in air at atmospheric pressure, which made the process very simple. A mixed powder of magnesium and active carbon was used as the source powder. The morphologies of the MgO nanostructures were changed by varying the growth temperature. When the growth temperature was 700 °C, untapered nanowires with smooth surfaces were grown. As the temperature increased to 850 °C, 1,000 °C and 1,100 °C, tapered nanobelts, tapered nanowires and then knotted nanowires were sequentially observed. X-ray diffraction analysis revealed that the MgO nanostructures had a cubic crystallographic structure. Energy dispersive X-ray analysis showed that the nanostructures were composed of Mg and O elements, indicating high purity MgO nanostructures. Fourier transform infrared spectra peaks showed the characteristic absorption of MgO. No catalyst particles were observed at the tips of the one-dimensional nanostructures, which suggested that the one-dimensional nanostructures were grown in a vapor-solid growth mechanism.