최근 광주 화정아이파크, 인천 검단 신도시 아파트 사고 등 국내에서 건축물 안전사고가 잇따라 발 생하고 있다. 시공 중 발생한 구조물 붕괴로 인해 인명·재산 피해가 수반된 대형 건설사고가 다수 발 생하였다. 건축물 안전사고의 발생 원인으로 무단 구조변경, 설계 및 시공 시 철근 누락 등이 제시되 면서 부실 감리에 대한 우려가 증가하고 있다. 하지만 현실적으로 건설 현장의 모든 장소에서 감리직 원이 상주하며 확인하는 것은 불가능하며 시공 정확도 검사 역시 감리자의 경험에 근거하여 육안 판 독 및 일부 수작업 계측으로 진행되고 있다. 감리 작업의 효율성을 높이기 위해 최근에는 3D 스캐너, Depth Camera 등을 구조 감리 기법 연구가 진행되고 있다. 철근 길이와 철근 배근 간격에 대한 연구 는 많이 진행되었지만 철근 직경의 검출 정확도는 아직 미흡한 상황이며, 특히 직경이 작은 D10과 D13의 구별에서는 한계를 나타내고 있다. 따라서 본 연구에서는 접근성이 용이한 스마트폰을 사용하 여 영상을 획득하고 이를 기반으로 3D 포인트 클라우드를 제가한 다음 철근 직경, 철근 길이, 철근 배근 간격 등의 자동 검측 기술을 개발하고 건설현장에서의 적용 가능성을 확인하고자 한다. 검증을 위한 실험체는 길이 2100mm, 폭 195mm, 높이 395mm의 철근 조립 상태의 보이다. 포인트 클라우드 제작을 위한 영상 촬영은 iPhone SE (3rd generation)을 사용하였다. 이후 MATLAB과 METASHAPE 를 사용하여 포인트 클라우드를 생성하고 Computer Vision과 Image Processing 기술을 활용하여 구 하고자 하는 철근 정보를 자동 검출하였다. 이후 실제 측정한 값과 자동 검출한 값을 비교하여 개발한 기법에 대한 적합성을 확인하였다.

Engineering design primarily focuses on product improvement through enhancing existing functionalities, integrating features, or adding new capabilities. In other words, it can be said that more design(adaptive design) changes to existing products based on benchmarking with competing products, differentiation strategies, changes in customer needs, etc. are actually performed rather than developing new products that did not exist before. Especially in the case of custom production, such as ships or buildings, a significant portion of actual design work involves modifying and adjusting past performance data according to the current customer's requirements. Therefore, design methods should be developed in a way that effectively supports these processes. Therefore, in this study, as QFD (Quality Function Deployment) ‘analysis of existing products’ and ‘creation of new alternatives’ is supported in Marine Concept Design with AHP (Analytic Hierarchy Process) techniques such as ‘Value Evaluation in Analysis Work’ and ‘Design Alternative Evaluation’, as a result, basic research was conducted on whether it could be used as a tool to effectively support the flow of the design process.

스마트팜형 시설 딸기에 예찰 없이 작물 정식 초기에 천적을 먼저 적용하는 생태공학적 Natural Enemy in First (NEF) 기법이 총채벌레류 와 진딧물류의 밀도에 미치는 영향을 확인하였다. 대조구는 약제를 처리하여 비교하였다. NEF 처리구에서 총채벌레류와 진딧물류의 천적과 서식 처로 참멋애꽃노린재와 Portulaca sp.를 적용하여 작기 종료시점까지 해충의 밀도를 대조구와 유사하게 효과적으로 관리할 수 있었다.

A 12-year-old, spayed female, Pomeranian dog was referred for limbs stiffness and circling movement. Computed tomography(CT) and magnetic resonance imaging(MRI) revealed a contrast-enhanced space-occupying lesion suggestive of meningioma in the olfactory groove to the right frontal lobe. For a successful and accurate surgery, 3D printing technique for preoperative planning and 3D guide was applied. Surgical excision of the meningioma was successfully performed. The postoperative complications were managed through medical treatment and patient care without the revision surgery.

Taguchi method is one of the most popular approaches for design optimization such that performance characteristics become robust to uncontrollable noise variables. However, most previous Taguchi method applications have addressed a single-characteristic problem. Problems with multiple characteristics are more common in practice. The multi-criteria decision making(MCDM) problem is to select the optimal one among multiple alternatives by integrating a number of criteria that may conflict with each other. Representative MCDM methods include TOPSIS(Technique for Order of Preference by Similarity to Ideal Solution), GRA(Grey Relational Analysis), PCA(Principal Component Analysis), fuzzy logic system, and so on. Therefore, numerous approaches have been conducted to deal with the multi-characteristic design problem by combining original Taguchi method and MCDM methods. In the MCDM problem, multiple criteria generally have different measurement units, which means that there may be a large difference in the physical value of the criteria and ultimately makes it difficult to integrate the measurements for the criteria. Therefore, the normalization technique is usually utilized to convert different units of criteria into one identical unit. There are four normalization techniques commonly used in MCDM problems, including vector normalization, linear scale transformation( max-min, max, or sum). However, the normalization techniques have several shortcomings and do not adequately incorporate the practical matters. For example, if certain alternative has maximum value of data for certain criterion, this alternative is considered as the solution in original process. However, if the maximum value of data does not satisfy the required degree of fulfillment of designer or customer, the alternative may not be considered as the solution. To solve this problem, this paper employs the desirability function that has been proposed in our previous research. The desirability function uses upper limit and lower limit in normalization process. The threshold points for establishing upper or lower limits let us know what degree of fulfillment of designer or customer is. This paper proposes a new design optimization technique for multi-characteristic design problem by integrating the Taguchi method and our desirability functions. Finally, the proposed technique is able to obtain the optimal solution that is robust to multi-characteristic performances.

Species distribution model (SDM) is used to preserve biodiversity and climate change impact. To evaluate biodiversity, various studies are being conducted to utilize and apply SDM. However, there is insufficient research to provide useful information by identifying the current status and recent trends of SDM research and discussing implications for future research. This study analyzed the trends and flow of academic papers, in the use of SDM, published in academic journals in South Korea and provides basic information that can be used for related research in the future. The current state and trends of SDM research were presented using philological methods and text-mining. The papers on SDM have been published 148 times between 1998 and 2023 with 115 (77.7%) papers published since 2015. MaxEnt model was the most widely used, and plant was the main target species. Most of the publications were related to species distribution and evaluation, and climate change. In text mining, the term ‘Climate change’ emerged as the most frequent keyword and most studies seem to consider biodiversity changes caused by climate change as a topic. In the future, the use of SDM requires several considerations such as selecting the models that are most suitable for various conditions, ensemble models, development of quantitative input variables, and improving the collection system of field survey data. Promoting these methods could help SDM serve as valuable scientific tools for addressing national policy issues like biodiversity conservation and climate change.

대량유살 기술을 통한 총채벌레 방제 기술이 시설 고추재배지를 중심으로 개발되었다. 이 기술의 핵심 요인은 효과적 유인제 개발에 있다. 집합페로몬에 의존하였던 유인전략은 노지 재배지에서는 뚜렷한 효과를 보이지 않았다. 따라서 본 연구는 노지 고추재배지에서 총채벌레의 대량 유살을 위해 새로운 유인물질의 추가가 필요하였다. 또한 노지재배지에서 집합페로몬의 유인력 감소 원인을 규명할 필요가 있었다. 새로운 유인 물질로서 methyl isonicotinate (MIN)이 제시되었고, 이 물질이 실내 유인행동분석을 통해 총채벌레에 대한 자체 유인력은 물론이고 집합페로 몬과 협력효과를 보였다. 이를 바탕으로 집합페로몬과 혼합물 형태로 노지 고추재배지에서 분석한 결과 총채벌레의 포획밀도를 증가시켰다. 특 히 이러한 증가는 꽃노랑총채벌레(Frankliniella occidentalis)에서 뚜렷하게 나타났다. 유인트랩에 집합페로몬의 함량 증가는 노지 고추재배지에 서 꽃노랑총채벌레는 물론이고 다른 총채벌레류의 포획밀도를 뚜렷하게 증가시켰다. 본 연구는 집합페로몬 유인력이 시설재배지와 노지재배지 사이에서 차이가 있으며, 노지 재배지의 경우 효과적 유인력을 발휘하기 위해서는 더욱 많은 집합페로몬 함량을 요구한다는 것을 밝혔다. 또한 본 연구는 집합페로몬에 MIN을 추가하여 꽃노랑총채벌레에 대한 고효율 유인제를 개발할 수 있는 기술을 제시한다.

In this study, the AHP (analytic hierarchy process) technique was used to analyze the risk of expected risk factors and fishing possibilities during gillnet fishing within the floating offshore wind farms (floating OWF). For this purpose, the risks that may occur during gillnet fishing within the floating offshore wind farms were defined as collisions, entanglements, and snags. In addition, the risk factors that cause these risks were classified into three upper risk factors and ten sub risk factors, and the three alternatives to gillnet fishing available within the floating OWF were classified and a hierarchy was established. Lastly, a survey was conducted targeting fisheries and marine experts and the response results were analyzed. As a result of the analysis, among the top risk factors, the risk was the greatest when laying fishing gear. The risk of the sub factors for each upper risk was found to be the highest at the berthing (mooring), the final hauling of fishing net, and the laying of the bottom layer net. Based on the alternatives, the average of the integrated risk rankings showed that allowing full navigation/fisheries had the highest risk. As a result of the final ranking analysis of the integrated risk, the overall ranking of allowing navigation/fisheries in areas where bottom layer nets were laid was ranked the first when moving vessels within the floating OWF was analyzed as the lowest integrated risk ranking of the 30th at the ban on navigation/fisheries. Through this, navigation was analyzed to be possible while it was analyzed that the possibility of gillnet fishing within the floating OWF was not high.

Wolsong Unit 1, a domestic heavy water reactor nuclear power plant, was permanently shut down in December 2019. Accordingly, Wolsong Unit 1 plans to prepare a Final Decommissioning Plan (FDP), submit it to the government by 2024, receive approval for decommissioning, and begin full-scale decommissioning. One of the important tasks in the decommissioning of Wolsong Unit 1 is to determine the decommissioning strategy. It is necessary to decide on a decommissioning strategy considering various factors and variables, secure the technical background, and justify it. The selection of a decommissioning strategy is best achieved through the use of formal decisionmaking assistance techniques, such as considerations related to influencing factors. It is very important to understand the basic decommissioning strategy alternatives and whether sufficient consideration has been given to situations where only a single unit is permanently shut down in a multi-unit site like Wolsong Unit 1, while the remaining units are in normal operation. As a process for selecting a decommissioning strategy, first, all considerations that could potentially affect decommissioning presented in the KINS Decommissioning Safety Review Guidelines were synthesized, influencing factors to be used in the decision-making process were determined, and the concept was defined. In order to select the most appropriate decommissioning strategy by considering various evaluation attributes of possible decommissioning alternatives (immediate dismantling and delayed dismantling), the Wolsong Unit 1 decommissioning strategy was evaluated by reflecting the AHP decision-making technique.

Domestic commercial low- and intermediate-level radioactive waste storage containers are manufactured using 1.2 mm thick cold-rolled steel sheets, and the outer surface is coated with a thin layer of primer of 10~36 μm. However, the outer surface of the primer of the container may be damaged due to physical friction, such as acceleration, resonance, and vibration during transportation. As a result, exposed steel surfaces undergo accelerated corrosion, reducing the overall durability of the container. The integrity of storage containers is directly related to the safety of workers. Therefore, the development of storage containers with enhanced durability is necessary. This paper provides an analysis of mechanical properties related to the durability of WC (tungsten carbide)-based coating materials for developing low- and intermediate-level radioactive waste storage containers. Three different WC-based coating specimens with varied composition ratios were prepared using HVOF (high-velocity oxy-fuel) technique. These different specimens (namely WC-85, WC-73, and WC-66) were uniformly deposited on cold-rolled steel surfaces ensuring a constant thickness of 250 μm. In this work, the mechanical properties of the three different WCbased coaitng materials evaluated from the viewpoints of microstructure, hardness, adheision force between substrate and coating material, and wear resistance. The cross-sectional SEM-EDS (Scanning Electron Microscope-Energy Dispersive X-ray Spectroscopy) images revealed that elements W (tungsten), C (carbon), Ni (nickel), and Cr (chromium) were uniformly distributed within the each coating layers which was approximately 250 μm thick. The average hardness values of HWC-85 and HWC-73 were found to be 1,091 Hv (Vickers Hardness) and 1,083 Hv, respectively, while the HWC-66 exhibited relatively lower hardness value of 883 Hv. This indicates that a higher WC content results in increased hardness. Adhesion force between and substrates and coating materials exceeded 60 MPa for all specimens, however, there were no significant differences observed based on the tungsten carbide content. Furthermore, a taber-type abrasion tester was used for conducting abrasion resistance tests under specific conditions including an H-18 load weight at 1,000 g with rotational speed set at 60 RPM. The abrasion resistance tests were performed under ambient temperatures (RT: 23±2°C) as well as relative humidity levels (RH: 50±10%). Currently, the ongoing abrasion resistance tests will include some results in this study.

Background: Proprioception in the ankle joint is important for maintaining balance. There is a correlation between joint position sense (JPS), balance and ankle dorsiflexion range of motion (DF-ROM). Objectives: The purpose of this study was to compare the effects of talocrural joint mobilization (TJM) and muscle energy technique (MET) of plantar flexor muscle (PF) on improving joint position sense (JPS) and static balance. Design: Cross-over randomized trial research. Methods: Sixteen participants (male 10, female 6; 20’s of their age) without ankle instability were recruited. In a randomized, three conditions, no intervention, talocalcaneal mobilization, and PF-MET were all applied to 16 participants. For TJM, the Kaltenborn grade 3 joint gliding method, in which the talus moves posteriorly perpendicular to the tacrocrural joint plane, were used. In the PF-MET, MET method were applied gastrocnemius muscle and soleus muscle with 25% of 1 Repeat Maximum of each muscle. The all participants performed PF-MET and TJM for 18 minutes. DF-ROM measured the weightbearing lunge test. JPS measured using the active joint angle reproduction test. Static balance was measured displacement of center of pressure parameter. Results: PF-MET and TJM had significant differences in DF-ROM and AP displacements. PF-MET significantly increased at 5° and 15° of plantar flexion and 5° of dorsiflexion, and COP velocity significantly decreased in JPS compared to TJM. Conclusion: PF-MET and TJM are effective in increasing DF-ROM. However, PF-MET has a more positive effect on improving JPS and static balance than on talocrural joint mobilization.

The metal bush assembling process is a process of inserting and compressing a metal bush that serves to reduce the occurrence of noise and stable compression in the rotating section. In the metal bush assembly process, the head diameter defect and placement defect of the metal bush occur due to metal bush omission, non-pressing, and poor press-fitting. Among these causes of defects, it is intended to prevent defects due to omission of the metal bush by using signals from sensors attached to the facility. In particular, a metal bush omission is predicted through various data mining techniques using left load cell value, right load cell value, current, and voltage as independent variables. In the case of metal bush omission defect, it is difficult to get defect data, resulting in data imbalance. Data imbalance refers to a case where there is a large difference in the number of data belonging to each class, which can be a problem when performing classification prediction. In order to solve the problem caused by data imbalance, oversampling and composite sampling techniques were applied in this study. In addition, simulated annealing was applied for optimization of parameters related to sampling and hyper-parameters of data mining techniques used for bush omission prediction. In this study, the metal bush omission was predicted using the actual data of M manufacturing company, and the classification performance was examined. All applied techniques showed excellent results, and in particular, the proposed methods, the method of mixing Random Forest and SA, and the method of mixing MLP and SA, showed better results.

With the recent advent of Metaverse, the character industry that reflects the characteristics of users' faces is drawing attention. there is a hassle that users have to select face components such as eyes, nose, and mouth one by one. In this paper, we propose a diffusion-based model that automatically generates characters from content human photographs. Our model generates user artistic characters by reflecting content information such as face angle, direction, and shape of a content human photo. In particular, our model automatically analyzes detailed information such as glasses and whiskers from content photo images and reflects them in artistic characters generated. Our network generates the final character through a three-step: diffusion process, UNet, and denoising processes. We use image encoders and CLIP encoders for the connection between style and input data. In the diffusion process, a collection of noise vectors is gradually added to a style vector to enable lossless learning of the detailed styles. All input values except for the style images are vectorized with CLIP encoders and then learned with noise style vectors in the UNet. Subsequently, noise is removed from the vectors through the UNet to obtain the artistic character image. We demonstrate our performance by comparing the results of other models with our results. Our method reflects content information without loss and generates natural high-definition characters.