• Title/Summary/Keyword: Image Processing

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Development of Web Service for Liver Cirrhosis Diagnosis Based on Machine Learning (머신러닝기반 간 경화증 진단을 위한 웹 서비스 개발)

  • Noh, Si-Hyeong;Kim, Ji-Eon;Lee, Chungsub;Kim, Tae-Hoon;Kim, KyungWon;Yoon, Kwon-Ha;Jeong, Chang-Won
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.10
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    • pp.285-290
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    • 2021
  • In the medical field, disease diagnosis and prediction research using artificial intelligence technology is being actively conducted. It is being released as a variety of products for disease diagnosis and prediction, which are most widely used in the application of artificial intelligence technology based on medical images. Artificial intelligence is being applied to diagnose diseases, to classify diseases into benign and malignant, and to separate disease regions for use in identification or reading according to the risk of disease. Recently, in connection with cloud technology, its utility as a service product is increasing. Among the diseases dealt with in this paper, liver disease is a disease with very high risk because it is difficult to diagnose early due to the lack of pain. Artificial intelligence technology was introduced based on medical images as a non-invasive diagnostic method for diagnosing these diseases. We describe the development of a web service to help the most meaningful clinical reading of liver cirrhosis patients. Then, it shows the web service process and shows the operation screen of each process and the final result screen. It is expected that the proposed service will be able to diagnose liver cirrhosis at an early stage and help patients recover through rapid treatment.

Comparisons of the Plastic Changes in the Central Nervous System in the Processing of Neuropathic Pain (신경병증성 통증의 처리 과정에 있어 중추신경계의 가소성 변화 비교)

  • Kwon, Minjee
    • Science of Emotion and Sensibility
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    • v.24 no.2
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    • pp.39-48
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    • 2021
  • According to International Associating for the Study of Pain (IASP) definition, neuropathic pain is a disorder characterized by dysfunction of the nervous system that, under normal conditions, mediates virulent information to the central nervous system (CNS). This pain can be divided into a disease with provable lesions in the peripheral or central nervous system and states with an incorporeal lesion of any nerves. Both conditions undergo long-term and chronic processes of change, which can eventually develop into chronic pain syndrome, that is, nervous system is inappropriately adapted and difficult to heal. However, the treatment of neuropathic pain itself is incurable from diagnosis to treatment process, and there is still a lack of notable solutions. Recently, several studies have observed the responses of CNS to harmful stimuli using image analysis technologies, such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and optical imaging. These techniques have confirmed that the change in synaptic-plasticity was generated in brain regions which perceive and handle pain information. Furthermore, these techniques helped in understanding the interaction of learning mechanisms and chronic pain, including neuropathic pain. The study aims to describe recent findings that revealed the mechanisms of pathological pain and the structural and functional changes in the brain. Reflecting on the definition of chronic pain and inspecting the latest reports will help develop approaches to alleviate pain.

A Characteristic Analysis of Glass Beads in Geumgwan Gaya, Korea (I) (금관가야 유리구슬의 특성 분석 (I))

  • Kim, Eun A;Lee, Je Hyun;Kim, Gyu Ho
    • Journal of Conservation Science
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    • v.37 no.3
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    • pp.232-244
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    • 2021
  • This study examined the physical attributes and heat treatment characteristics of glass beads excavated from the Gimhae area, which is the location of Geumgwan Gaya. This enabled classification of surface characteristics of the beads based on the investigation of the color, size, and shape. The glass beads were classified into eight color systems, with purplish-blue beads as the representative color. Bead size was categorized into three types depending on the outer diameter and how it increased over time. Bead shapes were categorized as round, tubular, or doughnut-shaped based on the inner diameter and length, with round being the typical shape. According to the degree of heat treatment, there are three types of cross-section for glass beads that are manufactured by the drawing technique, most of which are the HT-III type. In addition, it is estimated that the heat treatment technology has more considerable effects than other methods. Through non-destructive analysis, the chemical composition was obtained and categorized as flux, stabilizer, and colorant. Analysis confirmed the presence of 63 and 9 pieces in the potash and soda glass groups, respectively. Overall findings from the study highlighted a correlation between the chemical composition and the external factors such as color, size, shape, and manufacturing technology of glass beads recovered from Geumgwan Gaya, revealing characteristics related to that time and region.

Detection of The Real-time Weather Information from a Vehicle Black Box (차량용 블랙박스 영상에서의 실시간 기상정보 검지)

  • Kang, Ju-mi;Lee, Jaesung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.320-323
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    • 2014
  • Today is going with the advancement of intelligent transportation systems and traffic environment and helping to provide safe and convenient service through a mobile device work with the popularization of the vehicle black box. The traffic flow by a variety of causes is constantly changing, it is often unable to prepare the driver, depending on external factors can not be controlled by the power of the public, leading to a major accident. The system needs to pass the real-time weather data in the inter-operator to prevent this. The proposed detection algorithm weather information delivered real-time weather information for this paper. The weather condition is detected by using the contrast between the histogram of the motion of the wiper and the clear day algorithm. In general, the wiper is worked in extreme weather conditions that will have a value different contrast due to rain or snow. Situation was considered clear, snowy conditions, such as using it on a rainy situation. First, designated as ROI (Region Of Interest) of the minimum area that can be detected in order to reduce the amount of calculation for the wiper, the wiper, which was detected through the operation of the threshold Thresholding the brightness of the vehicle wiper. In addition, we distinguish the value of each meteorological situation by using contrast. Results was obtained to 80% for the snow conditions, a rainy situation.

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Detection and Identification of Moving Objects at Busy Traffic Road based on YOLO v4 (YOLO v4 기반 혼잡도로에서의 움직이는 물체 검출 및 식별)

  • Li, Qiutan;Ding, Xilong;Wang, Xufei;Chen, Le;Son, Jinku;Song, Jeong-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.1
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    • pp.141-148
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    • 2021
  • In some intersections or busy traffic roads, there are more pedestrians in a specific period of time, and there are many traffic accidents caused by road congestion. Especially at the intersection where there are schools nearby, it is particularly important to protect the traffic safety of students in busy hours. In the past, when designing traffic lights, the safety of pedestrians was seldom taken into account, and the identification of motor vehicles and traffic optimization were mostly studied. How to keep the road smooth as far as possible under the premise of ensuring the safety of pedestrians, especially students, will be the key research direction of this paper. This paper will focus on person, motorcycle, bicycle, car and bus recognition research. Through investigation and comparison, this paper proposes to use YOLO v4 network to identify the location and quantity of objects. YOLO v4 has the characteristics of strong ability of small target recognition, high precision and fast processing speed, and sets the data acquisition object to train and test the image set. Using the statistics of the accuracy rate, error rate and omission rate of the target in the video, the network trained in this paper can accurately and effectively identify persons, motorcycles, bicycles, cars and buses in the moving images.

The Relationship Between Korean Handwriting Skill and Visual Fixation (비장애 아동의 한글쓰기 숙련도와 시선고정 간의 관련성)

  • Hong, Mi Young;Lee, Cho Hee;Kim, Eunbin;Lee, Onseok;Kim, Eun Young
    • The Journal of Korean Academy of Sensory Integration
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    • v.17 no.1
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    • pp.1-8
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    • 2019
  • Objective : This paper aimed to measure the relationship between the performance of Korean handwriting and visual fixation for children. Methods : Twenty-one typically developing children aged 7 to 9 years participated in the study. The children performed Korean handwriting task wearing Tobii Pro Glasses 2. The Korean handwriting task consisted of 10 words from elementary school textbooks. The handwriting skill was measured by the coefficient variation of the letter size and the fixation cound and duration. Correlation analysis was performed to investigate the relation between visual fixation and the coefficient variation of the letter size. Results : The results showed that the visual fixation per second was positively correlated with Korean handwriting vertical size coefficient variation, indicating that the more consistent the vertical size of the letter, the smaller the fixation count per second. Conclusion : The results suggested a relation between the performance of Korean handwriting and visual fixation in typically developing children. This study is the first attempt to measure eye movement during the Korean handwriting process, and suggests a future direction for research on students' development in writing Korean.

Protecting Fingerprint Data for Remote Applications (원격응용에 적합한 지문 정보 보호)

  • Moon, Dae-Sung;Jung, Seung-Hwan;Kim, Tae-Hae;Lee, Han-Sung;Yang, Jong-Won;Choi, Eun-Wha;Seo, Chang-Ho;Chung, Yong-Wha
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.16 no.6
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    • pp.63-71
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    • 2006
  • In this paper, we propose a secure solution for user authentication by using fingerprint verification on the sensor-client-server model, even with the client that is not necessarily trusted by the sensor holder or the server. To protect possible attacks launched at the untrusted client, our solution makes the fingerprint sensor validate the result computed by the client for the feature extraction. However, the validation should be simple so that the resource-constrained fingerprint sensor can validate it in real-time. To solve this problem, we separate the feature extraction into binarization and minutiae extraction, and assign the time-consuming binarization to the client. After receiving the result of binarization from the client, the sensor conducts a simple validation to check the result, performs the minutiae extraction with the received binary image from the client, and then sends the extracted minutiae to the server. Based on the experimental results, the proposed solution for fingerprint verification can be performed on the sensor-client-server model securely and in real-time with the aid of an untrusted client.

Accuracy of conventional and digital mounting of dental models: A literature review (치과용 모형의 모형 부착 과정에서 발생하는 오차에 대한 문헌 고찰)

  • Kim, Cheolmin;Ji, Woon;Chang, Jaeseung;Kim, Sunjai
    • The Journal of Korean Academy of Prosthodontics
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    • v.59 no.1
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    • pp.146-152
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    • 2021
  • Accurate transfer of the maxillo-mandibular relationship to an articulator (i.e., mounting) is critical in prosthetic treatment procedures. In the current study, a PubMed search was performed to review the influencing factors for the maxillo-mandibular relationship's accuracy. The search included digital mounting as well as conventional gypsum cast mounting. The results showed that a greater amount of displacement was introduced during positioning the maxillary and mandibular models to interocclusal records rather than the dimensional change of registration material. Most intraoral scanners resulted in an accurate reproduction of the maxillo-mandibular relationship for posterior quadrant scanning; however, the accuracy was declined as the scan area increased to a complete arch scan. The digital mounting accuracy was also influenced by the image processing algorithms and software versions, especially for complete arch scans.

Significance of Three-Dimensional Digital Documentation and Establishment of Monitoring Basic Data for the Sacred Bell of Great King Seongdeok (성덕대왕신종의 3차원 디지털 기록화 의미와 모니터링 기초자료 구축)

  • Jo, Younghoon;Song, Hyeongrok;Lee, Sungeun
    • Conservation Science in Museum
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    • v.24
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    • pp.55-74
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    • 2020
  • The Sacred Bell of Great King Seongdeok is required digital precision recording of conservation conditions because of corrosion and partial abrasion of its patterns and inscriptions. Therefore, this study performed digital documentation of the bell using four types of scanning and unmanned aerial vehicle (UAV) photogrammetry technologies, and performed the various shape analyses through image processing. The modeling results of terrestrial laser scanning and UAV photogrammetry were merged and utilized as basic material for monitoring earthquake-induced structural deformation because these techniques can construct mutual spatial relationships between the bell and its tower. Additionally, precision scanning at a resolution four to nine times higher than that of the previous study provided highly valuable information, making it possible to visualize the patterns and inscriptions of the bell. Moreover, they are well-suited as basic data for identifying surface conservation conditions. To actively apply three-dimensional scanning results to the conservation of the original bell, the time and position of any changes in shape need to be established by further scans in the short-term. If no change in shape is detected by short-term monitoring, the monitoring should continue in medium- and long-term intervals.

Development of High Energy X-ray Dose Measuring Device based Ion Chamber for Cargo Container Inspection System (이온전리함 기반의 컨테이너 검색용 고에너지 X-선 선량 측정장치 개발)

  • Lee, Junghee;Lim, Chang Hwy;Park, Jong-Won;Lee, Sang Heon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.12
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    • pp.1711-1717
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    • 2020
  • X-ray of up to 9MeV are used for container inspection. X-ray intensity must be maintained stably regardless of changes in time. If dose is not constant, it may affect the image quality, and as a result, may affect the inspection of abnormal cargo. Therefore, to acquire high-quality images, continuous dose monitoring is required. In this study, the ion-chamber based device was developed for monitoring the dose change in high-energy x-ray. And to estimate the performance of signal-processing device change according to the environmental change, the output changing due to the change of temperature and humidity was observed. In addition, verification of the device was performed by measuring the output change. As a result of the measurement, there was no significant difference in performance due to changes in temperature and humidity, and the change in output according to the change in exposure was linear. Therefore, it was found that the developed device is suitable for the dose monitoring of high-energy x-ray.