This paper investigates the cognitive processes involved in English word recognition among young EFL learners using eye-tracking methodology. A quasi-experimental mixed method design was used to investigate how young L2 learners engage with basic words, with or without pictorial cues. A total of seventeen 6th-grade pupils from two schools participated in the experiment. The participants were presented with a list of 20 words and were asked to read them aloud while their eye movements were tracked to discern their viewing patterns. Immediately after the reading task, stimulated-recall interviews were conducted to triangulate and validate the participants’ viewing behaviors. Results indicate that participants focused significantly more on the text than the accompanying pictures yet demonstrated better performance in recognizing and reading the words presented in a picture-based mode. Some participants reported that the pictures were not viewed because the words were easy to read. In contrast, others struggled to read certain words due to an over-reliance on their background knowledge, which sometimes led to misinterpretation. These results emphasize the importance of integrating visual cues with word recognition instruction in early language learning contexts, highlighting when and how these cues should be utilized effectively.

본 연구에서는 노인의 건강 증진 및 건강 유지를 위해 노인 맞춤형 운동 애플리케이션 개발을 목표로, 스마트폰을 활용한 실시간 동작 추적 기술과 영상과 사진을 바탕으로 한 AI 학습을 통 해 단계별 동작 인식과 판단이 가능한 운동 동작 모델을 구현하였다. 노인 맞춤형 운동 애플리 케이션은 실시간 피드백을 지원하고, 노인의 운동 능력과 신체 가동 범위에 적합하게 단계적 운동이 가능하도록 구현되어야 할 것이다. 이를 위해 본 논문에서는 골포스트 스퀴즈(Goal Post Squeeze) 운동 동작을 대상으로 하여 이를 일련의 단위 동작으로 설계하고, MoveNet 포 즈 추정 기법을 기반으로 동작 인식 모델을 개발하였다. 구현한 운동 동작 모델에 대한 작동 실험 결과 단계별 데이터 인식과 판단, 정동작과 오동작 판단, 수평유지를 판단하고 이를 바탕 으로 사용자에게 실시간 피드백을 제공할 수 있음을 확인하였다.

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.

To overcome the challenges in tracking insects underground, a detection method consisting of a metal detector and aluminum tag was developed for tracking a dung beetle, Copris ochus (Coleoptera: Scarabaeidae). First, detection rate was evaluated for varying volumes of aluminum tags varying orientations of the tags under soil. Then, the detection efficacy was evaluated in the field at varying depths of hidden tags in two types of vegetation. Finally, the effect of aluminum-tagging on the survivorship, burrowing depth, and horizontal movement of C. ochus adults were assessed. Generally, an increase in tag volume resulted in a greater detection depth with maximum depth of 17 cm. Orientation, however, did not affect detection rate except when tag was placed perpendicular to the soil surface. In the field, metal detectors could detect aluminum-tagged models with success rates ≥85% up to 10 cm and 45−60% at 20 cm under soil. Finally, no significant effect of tagging on survivorship and behaviors of C. ochus was observed.

This study explores the course tracking control problem of unmanned surface vessels (USVs) under the influence of actuator faults and internal and external uncertainties. In the control strategy desig n, we first model the unknown dynamics and use adaptive technology to construct an online appro ximator to compensate for the unknown dynamics of the system. Under the framework of adaptive backstepping, a robust adaptive course tracking control scheme is constructed. This control strategy does not require any prior knowledge of the model in advance. The stability analysis of the theoret ical mathematical derivation of the control strategy was conducted based on Lyapunov stability theo ry. Finally, the effectiveness of the control strategy proposed in this paper was verified through sim ulation.

In contemporary society, traffic concerns and road safety are of paramount importance. Overloading and improper loading significantly jeopardize road safety. Leveraging AI Hub's CCTV traffic videos, overloading hazard data, and Yeosu Sunsin Bridge HS-WIM data from Jeollanam-do, we've crafted detection models. These models facilitate the development of a vehicle detection system calibrated for specific scenarios, making the detection of overloading and loading discrepancies more accessible. Such a system promises to streamline detection operations while substituting manual efforts with AI, thereby economizing on both time and resources.

There has been almost 26 years since science of marketing has developed in Mongolia and there has been significant progress in acquiring and using its findings. Business companies’ leadership have become aware of the importance of this science and see marketing as business philosophy and understand that analyzing the market, business environment and conditions by consumers is the key to success. Today’s society demands from marketing professionals’ delicacy and taking into account consumers’ needs and creating new needs and new means of consumption. Main purpose of business entities is to be aware of consumer needs, to establish its position on the market and to be successful. In order to provide consumers with the best products and keep them at the center of their attention it is important to establish optimal ratio of marketing factors that would most efficiently influence consumers with different behaviors.

목적 : 본 연구는 시선추적 분야에 사용되는 적외선 동공 검출 기법을 기반으로 동공 크기 변화와 동공 간 거리 변화 분석을 통해 양안시기능을 타각적으로 측정하는 방법에 관해서 연구하고자 한다. 방법 : 남녀 23명(평균연령 27.27±8.84세)을 대상으로 원거리(3 m) 및 근거리(0.4 m)에서 적외선 필터를 사 용하여 만든 차폐렌즈(이하 차폐렌즈)로 커버테스트를 실시하여 편위량을 측정하였다. 또한, 근거리에서 눈앞에 각각 ±1.00 D의 렌즈를 부가한 상태에서 커버테스트를 실시하여 AC/A 비 측정을 하였다. 적외선 카메라를 사용 하여 위의 과정들을 모두 촬영하였고, OpenCV(Open Source Computer Vision)를 사용하여 영상 프레임별 동 공 간 거리와 동공 면적을 계산하였다. 결과 : 원거리 및 근거리 커버테스트 측정값의 T-검정 결과 원거리 및 근거리 커버테스트 모두 통계적으로 유 의한 차이(p<0.050)가 없는 것으로 나타났고, Bland-Altman 일치도 평가에서도 대부분의 값이 두 측정법 사이 95% 신뢰구간 내에 존재하였다. 경사 AC/A 비는 -1.00 D를 가입했을 때 p=0.015, +1.00 D를 가입했을 때 p=0.823으로 –1.00 D 렌즈를 가입했을 때 유의미한 차이가 발생하였고, 계산 AC/A 비는 유의한 차이가 나타나 지 않았다. AC/A 비의 일치도 평가 역시 두 검사법 간 평균 차이가 0.9 △로 나타났고, 산점도 역시 평균 차이 선 에 균일하게 배열하여 비교적 높은 일치도를 보였다. 결론 : 본 연구에서는 시선추적 기술에 활용되는 적외선 동공 검출 기법을 기반으로 양안시기능의 타각적 검사 법을 개발하였다. 동공 크기 변화와 동공 간 거리 변화 양상 분석을 통한 타각적 양안시기능 검사 방법이 실제 임 상에 적용된다면, 자각적 검사 방법의 한계를 극복할 수 있을 것으로 생각된다.

Korea currently has two permanent shutdown Nuclear Power Plants (NPPs), and the decommissioning project is expected to begin soon, starting with the first commercial NPP. The decommissioning project will eventually be the disposal of radioactive waste in the final stage of the work, and in that respect, proper tracking and history management should be well established in the management of waste. This is in line with the guidelines that regulatory agencies should also properly manage radioactive waste. Therefore, this study intends to examine the factors that should be considered in terms of tracking and management of radioactive waste in decommissioning nuclear facilities. The starting and final point of tracking radioactive waste generated during decommissioning is the physical inventory of the current as-is state and the final container. In this respect, the tracking of waste starts from the beginning of the dismantling operation. Thus, at the stage of approval of the decommissioning work, it may begin with an ID scheme, such as the functional location in operation for the target System, Structure, and Components (SSCs). As the dismantling work progresses, SSCs will be classified by nature and radiological level, which will be placed in containers in small packaging units. At this time, the small package should be given an ID. After that, the dismantling work leads to the treatment of waste, which involves a series of operations such as cutting, decomposition, melting, and decontamination. Each step in which these tasks are performed will be placed in a container, and ID assignment is also required. Until now, the small packaging container is for transfer after each treatment, and it is placed in the storage container in the final stage, at which time the storage container also gives a unique ID. Considerations for follow-up management were reviewed assuming solid waste, which is the majority of dismantled radioactive waste considered in this study. The ID system should be prepared from the start of the dismantling work, ID generation of the small transporting container and ID generation of the final disposal container during the intermediate waste treatment process, and each ID generation of the previous stage should be linked to each generation stage. In addition, each ID must be generated, and the definition of the grant scheme and attributes is required.

PURPOSES : The aim of this study is to evaluate the stripping resistance of a bead coating via the Hamburg wheel tracking test and image analysis. METHODS : First, the stripping resistance of the bead coating was evaluated via the Hamburg wheel tracking test. A pneumatic wheel with a load of 175±2 N was used to simulate repeated skid cycles. Several bead coating mixtures with different numbers of coating layers, i.e., zero, one, two, three, and four layers, i.e., zero, one, two, three, and four layers,were conducted. Finally, an image analysis program was developed to analyze surface images captured from the Hamburg wheel tracking test. RESULTS : The results show that the samples with more coating layers exhibit higher stripping resistance. After 500 stripping cycles, the percentage of bead loss is 4% to 28%. At 80% bead loss, the mixture with one coating layer presents more skid cycles than the control sample without a coating layer. CONCLUSIONS : Incorporating a coating layer can improve the stripping resistance of glass beads under repeated skid cycles. Additionally, an image analysis program is established in this study to determine the percentage of bead loss caused by the stripping test.

It is important to ensure worker’s safety from radiation hazard in decommissioning site. Real-time tracking of worker’s location is one of the factors necessary to detect radiation hazard in advance. In this study, the integrated algorithm for worker tracking has been developed to ensure the safety of workers. There are three essential techniques needed to track worker’s location, which are object detection, object tracking, and estimating location (stereo vision). Above all, object detection performance is most important factor in this study because the performance of tracking and estimating location is depended on worker detection level. YOLO (You Only Look Once version 5) model capable of real-time object detection was applied for worker detection. Among the various YOLO models, a model specialized for person detection was considered to maximize performance. This model showed good performance for distinguishing and detecting workers in various occlusion situations that are difficult to detect correctly. Deep SORT (Simple Online and Realtime Tracking) algorithm which uses deep learning technique has been considered for object tracking. Deep SORT is an algorithm that supplements the existing SORT method by utilizing the appearance information based on deep learning. It showed good tracking performance in the various occlusion situations. The last step is to estimate worker’s location (x-y-z coordinates). The stereo vision technique has been considered to estimate location. It predicts xyz location using two images obtained from stereo camera like human eyes. Two images are obtained from stereo camera and these images are rectified based on camera calibration information in the integrated algorithm. And then workers are detected from the two rectified images and the Deep SORT tracks workers based on worker’s position and appearance between previous frames and current frames. Two points of workers having same ID in two rectified images give xzy information by calculating depth estimation of stereo vision. The integrated algorithm developed in this study showed sufficient possibility to track workers in real time. It also showed fast speed to enable real-time application, showing about 0.08 sec per two frames to detect workers on a laptop with high-performance GPU (RTX 3080 laptop version). Therefore, it is expected that this algorithm can be sufficiently used to track workers in real decommissioning site by performing additional parameter optimization.

In this study, trends in research methods and topics of seabird and marine fish migration were examined. Based on the framework of existing animal migration studies, future research directions were proposed in relation to the migration of seabirds and fish. In terms of research methodology, with the development of science and technology, tracking techniques using radio telemetry, acoustic telemetry, RFID (radiofrequency identification), satellite tracking, and geolocators are widely used to study seabird and fish migration. Research is also conducted indirectly through a population survey and the analysis of substances in the body. Research contents are largely classified into extrinsic factors that affect migration (such as environmental variables and interspecific competition), intrinsic factors such as hormones, anthropogenic activities including fishery and offshore wind farm, and the effect of global climate change. In future studies, physiological factors that influence or cause migration and dispersal should be identified concerning intrinsic factors. For the analysis of migration ability, it is necessary to study effects of changes in the magnetic field on the migration ability of seabirds and fish, interspecific differences in spatiotemporal migration ability, and factors that influence the migration success rate. Regarding extrinsic factors, research studies on effects of anthropogenic disturbances such as fishery and offshore wind farm and global climate change on the migration and dispersal patterns of marine animals are needed. Finally, integrated studies on the migration of seabirds and fish directly or indirectly affecting each other in various ecological aspects are required.

4차 산업시대를 맞이하여 많은 공학 분야에서 IoT(Internet of Things)기술의 연계는 매우 중요한 쟁점이다. 최근 조선소에서도 디지털 조선, 스마트 팩토리 등의 개념을 구체화하고 있는 추세이다. 한편 자동차, 비행기 등에서 자율주행을 구현하는 연구는 매우 활발 하고 일정 부분 상용의 형태로 나타나고 있다. 본 연구는 오픈 소스 아두파일럿 기반의 FC(Flight Controller) 및 RTK(Real Time Kinematic) GPS(Global Positioning System)를 이용하여 자율 주행 임무를 수행하는 보트의 주행성에 관한 연구로서 잔잔한 호수에서 실해역 실험을 수행하였으며 보트의 임무는 특정한 지점을 자율주행한 후 홈 위치로 스스로 돌아오는 과정에 대한 조종성 평가이다. 주어진 속도에서 기 설정된 임무 궤적과 실 운항 궤적에 따른 차이를 분석하고 시스템의 보트 적용성에 대한 일련의 연구를 수행하였다. 또한 4개의 프로펠러를 가지는 OmniX 선체의 주행성을 분석하였으며 최대 48%의 주행 추적성 향상을 확인하였다.