• Journal of Internet Computing and Services
• /
• v.24 no.6
• /
• pp.73-80
• /
• 2023

The recent steep increase in the minimum hourly wage has increased the burden of labor costs, and the share of unmanned stores is increasing in the aftermath of COVID-19. As a result, theft crimes targeting unmanned stores are also increasing, and the "Just Walk Out" system is introduced to prevent such thefts, and LiDAR sensors, weight sensors, etc. are used or manually checked through continuous CCTV monitoring. However, the more expensive sensors are used, the higher the initial cost of operating the store and the higher the cost in many ways, and CCTV verification is difficult for managers to monitor around the clock and is limited in use. In this paper, we would like to propose an AI image processing fusion algorithm that can solve these sensors or human-dependent parts and detect customers who perform abnormal behaviors such as theft at low costs that can be used in unmanned stores and provide cloud-based notifications. In addition, this paper verifies the accuracy of each algorithm based on behavior pattern data collected from unmanned stores through motion capture using mediapipe, object detection using YOLO, and fusion algorithm and proves the performance of the convergence algorithm through various scenario designs.

• Journal of the Korea Computer Graphics Society
• /
• v.30 no.3
• /
• pp.171-178
• /
• 2024

Exercises using a Balance Board (BB) are effective in developing balance, strengthening core muscles, and improving physical fitness and concentration. In particular, the Smart Balance Board (SBB), which integrates with various digital content, provides appropriate feedback compared to traditional balance boards, maximizing the effectiveness of the exercise. However, most systems only offer visual and auditory feedback, failing to evaluate the impact on user engagement, interest, and the accuracy of exercise postures. This study proposes an Immersive Smart Balance Board (I-SBB) that utilizes multiple sensors to enable training with various feedback mechanisms and precise postures. The proposed system, based on Arduino, consists of a gyro sensor for measuring the board's posture, a communication module for wired/wireless communication, an infrared sensor to guide the user's foot placement, and a vibration motor for tactile feedback. The board's posture measurements are smoothly corrected using a Kalman Filter, and the multi-sensor data is processed in real-time using FreeRTOS. The proposed I-SBB is shown to be effective in enhancing user concentration and engagement, as well as generating interest, by integrating with diverse content.

• Journal of the Korean Society of Radiology
• /
• v.85 no.4
• /
• pp.769-779
• /
• 2024

Purpose To determine the pros and cons of an artificial intelligence (AI) model developed to diagnose acute rib fractures in chest CT images of patients with chest trauma. Materials and Methods A total of 1209 chest CT images (acute rib fracture [n = 1159], normal [n = 50]) were selected among patients with chest trauma. Among 1159 acute rib fracture CT images, 9 were randomly selected for AI model training. 150 acute rib fracture CT images and 50 normal ones were tested, and the remaining 1000 acute rib fracture CT images was internally verified. We investigated the diagnostic accuracy and errors of AI model for the presence and location of acute rib fractures. Results Sensitivity, specificity, positive and negative predictive values, and accuracy for diagnosing acute rib fractures in chest CT images were 93.3%, 94%, 97.9%, 82.5%, and 95.6% respectively. However, the accuracy of the location of acute rib fractures was low at 76% (760/1000). The cause of error in the diagnosis of acute rib fracture seemed to be a result of considering the scapula or clavicle that were in the same position (66%) or some ribs that were not recognized (34%). Conclusion The AI model for diagnosing acute rib fractures showed high accuracy in detecting the presence of acute rib fractures, but diagnosis of the exact location of rib fractures was limited.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.25 no.2
• /
• pp.151-158
• /
• 2019

Wireless communication technology (WAVE) for vehicles, which is the core technology behind the next-generation intelligent transport system (C-ITS), is used to deliver information about vehicles to prevent traffic accidents and traffic situations that may arise between vehicles and infrastructure. Similar traffic issues often arise in marine scenarios. Currently, AIS is being used as a means of transmitting information such as the status of relative vessels, but research is being carried out to solve problems with AIS such as overloading by applying wireless communication technology for vehicles to the sea. In this study, a collision warning system suitable for small-sized vessels was developed based on the marine application of WAVE for vehicles verified through prior research, and the adequacy of this collision warning system was reviewed through a practical test. It is expected that this system will contribute greatly to future e-Navigation applications or self-driving ships as well as to preventing marine accidents.

• Korean journal of food and cookery science
• /
• v.26 no.6
• /
• pp.753-760
• /
• 2010

The purpose of this study was to develop value-added seasoning products with Korean advanced chile peppers (Capsicum annuum L.) and investigate their physicochemical characteristics based on sensory evaluation. Ninety-seven chile pepper-related products were collected from American local favorites and analyzed based on their compositions. Yeongyang's chile pepper powders were prepared to develop Korean chile pepper seasoning products and measured for total microbial content (3.36 log CFU/g), moisture content (12.43%), total carotenoids (223.46 mg/100 g), vitamin C (290.33 mg/100 g), ASTA color value (149.37), and capsaicinoids (4.06 mg/100 g). Korean chile pepper seasoning samples for beef showed higher overall acceptability compared to American local favorite seasonings. Completed Korean chile pepper seasoning products contained red pepper (20%), various herbs (26.1%), salt (11.4%), dried mushroom (8.5%), garlic (8.5%), black pepper, curry, paprika, sweet pumpkin (5.7%), and citron (2.8%). This result might show the possibility of replacing mixed seasoning products from foreign countries (USA and Europe).

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
• /
• 2004.05a
• /
• pp.172-177
• /
• 2004

This paper presents the results of the structural analysis and optimal design of frames of the UUV(Unmanned Underwater vehicle) to be operated at 6000m depth in the ocean. The structure of the UUV system can be classified into two structure, Launcher ana ROV. Frame of the launcher will be made by Galvanized Steel which has high strength and corrosion-resistant but this material has high specific gravity for tile object to be weight in the water Similarly, ROV will be made by AI6061-T6, and frame of the ROV will be fix many instruments and syntactic buoyancy materials. Before fabrication of tile frame, we performed sensitivity analysis - change in weight due to $\pm1\%$ change in design variables, for easy choice by change of dimension of the frame.

• Mineral and Industry
• /
• v.17 no.1
• /
• pp.1-15
• /
• 2004

장석은 복잡다단한 광물학적 특성에도 불구하고 그 물질적 이해와 용도 측면에서의 단순성 때문에 관련 산업 부문에서 부가가치 향상이 잘 이루어지지 않고 있는 실정이다. 현재 전 세계적으로 10위권 내의 생산 수준을 유지하는 국내산 장석의 광석 유형은 그 관물상과 산출상태에 따라 페그마타이트상 장석, 반화강암질 및 우백질 화강암상의 장석으로 구분 될 수 있다. 현재 국내에서 개발되고 있는 장석들로는 일반적으로 반화강암질 유형의 광석이 가장 흔하다. 이 유형의 광체들은 흔히 알바이트화 작용이나 K-부화를 수반하는 열수변질 작용을 받은 양상을 보이는 것이 특징이다. 광물특성 상으로는 K-장석에 속하는 광체들이 Na-장석 유형들 보다 상대적으로 흔하고 대체적으로 그 부존 규모도 큰 것으로 나타난다. 장석의 부가가치 향상을 위해서는 그 품위를 화학조성에만 의존하지 말고 광물조성 단위로 이해하는 방식이 요구된다. 일반적으로 이 광물자원의 요업적 용도 특성상, 광물특성 평가에서 가장 주요한 기준이 되는 사항은 화학조성, 특히 알칼리 조성, $AI_{2}O_{3}$ 함량 및 철분의 함유도인 것으로 판단된다. 그렇지만 앞으로 그 수요가 확장될 전망이 있는 충진재 용도로 사용될 경우에는 이 같은 화학적 특징보다는 장석광물의 조성과 제반 물성적 특성에 그 품질이 의존될 것으로 여겨진다. 이에 따라 장석 광석의 화학조성과 물성은 기본적으로 장석의 광물상과 조성에 의존된다는 지식기반 하에서, 장석의 품위는 물론 품질 특성 평가에 있어서도 화학조성에만 의존하지 말고 그 광물상과 광물특성도 고려해서 평가하는 지혜가 요구된다.

• Advanced Industrial SCIence
• /
• v.2 no.1
• /
• pp.1-7
• /
• 2023

The use of Internet of Things(IoT) in smart cities and smart homes is essential. The security of the sensor nodes, which are the core of the IoT, is weak and hacking attacks are severe enough to have a fatal impact on real life. This research is conducted to improve the security of the Internet of Things by developing a lightweight secure communication protocol for the Internet of Things, and to build a safe Internet of Things environment suitable for the era of the 4th Industrial Revolution. It contributes to building a safe and convenient smart city and smart home by proposing key management and identifier development to increase the confidentiality of communication and the establishment of an Internet authentication system.

• Journal of Aerospace System Engineering
• /
• v.14 no.5
• /
• pp.83-90
• /
• 2020

Disasters are causing significant damage to the lives and property of our society and are recognized as social problems that need to be solved nationally and globally. The 4th industrial revolution technologies affecting society as a whole such as the Internet of Things(IoT), Artificial Intelligence(AI), Drones(Unmanned Aerial Vehicles), and Big Data are continuously absorbed into the disaster and safety industries as scientific and technological tools for solving social problems. Very soon, twenty-nine domestic UAV-related organizations/companies will complete the construction of a multicopter type small UAV integrated system ('17~'20) that can be operated at disaster and security sites. The current work considers and proposes the mid-to-long term R&D direction of disaster UAV as a strategic asset of the national disaster response system. First, the trends of disaster and safety industry and policy are analyzed. Subsequently, the development status and future plans of small UAV, securing shortage technology, and strengthening competitiveness are analyzed. Finally, step-by-step R&D direction of disaster UAV in terms of development strategy, specialized mission, platform, communication, and control and operation is proposed.

• Journal of the Korea Convergence Society
• /
• v.11 no.11
• /
• pp.115-121
• /
• 2020

This study aims to develop a framework of structural scenarios for chatbot docent that supports visitors' activities in science centers and museums, and to suggest the application examples. For this study, the author adapted Focus Group Interview. As a result, the frameworks of scenarios could be categorized into the Collection of Science and Technology(CST) and Inquiry-Based Exhibition(IBE). These frameworks had dimensions of the primary and storytelling in common. Especially, framework of IBE scenario was added the usage dimension considering the characteristics of interaction between exhibits and visitors. This study could be basic materials for AI chatbot to support exhibition descriptions using the built data, and is expected to be help develop a more visitor-oriented scenarios of activities.