• Korean Journal of Artificial Intelligence
• /
• v.11 no.4
• /
• pp.15-20
• /
• 2023

Machine learning is comprised of supervised learning, unsupervised learning and reinforcement learning as the type of data and processing mechanism. In this paper, as input and output are unclear and it is difficult to apply the concrete modeling mathematically, reinforcement learning method are applied for crawling robot in this paper. Especially, Q-Learning is the most effective learning technique in model free reinforcement learning. This paper presents a method to implement a crawling robot that is operated by finding the most optimal crawling method through trial and error in a dynamic environment using a Q-learning algorithm. The goal is to perform reinforcement learning to find the optimal two motor angle for the best performance, and finally to maintain the most mature and stable motion about EV3 Crawling robot. In this paper, for the production of the crawling robot, it was produced using Lego Mindstorms with two motors, an ultrasonic sensor, a brick and switches, and EV3 Classroom SW are used for this implementation. By repeating 3 times learning, total 60 data are acquired, and two motor angles vs. crawling distance graph are plotted for the more understanding. Applying the Q-learning reinforcement learning algorithm, it was confirmed that the crawling robot found the optimal motor angle and operated with trained learning, and learn to know the direction for the future research.

• Journal of the Korean Society of Industry Convergence
• /
• v.25 no.6_2
• /
• pp.1083-1090
• /
• 2022

Since renal cell carcinoma(RCC) has various examination and treatment methods according to clinical stage and histopathological characteristics, it is required to determine accurate and efficient treatment methods in the clinical field. However, the process of collecting and processing RCC medical data is difficult and complex, so there is currently no AI-based clinical decision support system for RCC treatments worldwide. In this study, we propose a clinical decision support system that helps clinicians decide on a precision treatment to each patient. RCC standard big database is built by collecting structured and unstructured data from the standard common data model and electronic medical information system. Based on this, various machine learning classification algorithms are applied to support a better clinical decision making.

• The Journal of Korean Medicine
• /
• v.40 no.3
• /
• pp.87-98
• /
• 2019

Objectives: Patients with respiratory diseases are increasing as air pollution due to fine dust gets worse. Diseases that occupy a large proportion of respiratory diseases in medical institutions are acute bronchitis, chronic bronchitis and Allergic rhinitis. The number of patients with all three diseases is gradually increasing. This study was to suggest assignment of medicine policy for improving accessibility to Korean medical treatment of respiratory diseases analyzing the current treatment status of acute bronchitis, Chronic bronchitis and Allergic rhinitis patients in Western medical and Korean medical institutes in this situation. Methods: This study used 2017 National patient sample data from the Korean Health Insurance Review and Assessment Service for research. Acute bronchitis, Chronic bronchitis, Allergic rhinitis was according to KCD code. This research contains Socio-demographic analysis classified by sex and age, the number of three disease's patients. Also the number of medical treatment, the expense of recuperation cost, medical practices were analyzed compare with Western and Korean medicine. Results: The incidence of three diseases is higher among female than male. There are many patients under the age of 10 in the case of acute bronchitis and allergic rhinitis, while there are many patients over 50 years of age in chronic bronchitis. Western medical treatment take up a larger proportion than Korean medical treatment in part of the number of three disease's patients, the number of medical treatment, the expense of recuperation cost. Conclusions: Much more patients of these diseases visit in Western medical clinic and hospital than Korean medical clinic and hospital for treatment. There are many parts of Korean medical treatment that are not covered by Health insurance benefits like herbal decoction, pharmacopuncture, etc. Korean medicine need to do the efforts for expanding medical field in variety. Also it is demanded for institutional support for reduction of the cost burden and improving on accessibility of Korean medical treatment in order to treat with the increase in respiratory diseases due to fine dust.

• Journal of the Korea Convergence Society
• /
• v.5 no.4
• /
• pp.1-7
• /
• 2014

Gesture recognition provides the ease and immediacy to users in the processing technique for recognizing the gesture. Because of these benefits, gesture recognition technology has been applied and fused in many areas, such as the military, health care, education. In particular, the gesture recognition in game field since it can provide users to play games similar to the actual gesture, it being fused with many areas such as medical, military, and education. This paper is to discuss the future convergence direction of motion recognition games based on this background. In this paper, it looks at technology status and the game of gesture recognition, describe the problem and improvement of gesture recognition game. This paper can help improving the competitiveness of domestic convergence on gesture recognition game.

• International journal of advanced smart convergence
• /
• v.2 no.2
• /
• pp.36-39
• /
• 2013

It is becoming more important as the growing of health information and increasing in cancer patients diagnose over the time gradually. Among the various types of cancer, we focuses on breast cancer diagnosis. The accuracy of breast cancer diagnosis is increasing when the diagnosis is based on evidence and statistics. To do this we use the weka data mining tools and analysis algorithms significantly associated with the decision tree uses rules. In addition, the data pre-processing and cross-validation are used to increase the reliability of the results. The number and cause of the disease becomes important to increase evidence-based medical doctors. As the evidence-based medical, the data obtained from patients in the past through the disease by calculating the probability for future patients to diagnose and predict disease and treatment plan. It can be found by improving the survival rate plays an important role.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.23 no.3
• /
• pp.261-266
• /
• 2019

Flow cytometry is an electrical detection system that provides precise and diverse optical properties to cells and micro particles. Flow cytometry, which provides multidimensional information including cell size and granularity through light scattering and fluorescence emission generated by the induction of light of a specific wavelength to the fluorescently treated cells or micro particles, plays an important role in biomedical and biophysical fields. However, it has some drawbacks such as high cost, size of the instrument and limitation in selecting fluorescent dyes. Therefore, in this paper, a low cost compact fluorescent detection system is developed using light-emitting diode and microcontroller. The proposed fluorescence detection system has a replaceable the light source/fluorescence filter/photodetector and constructed by 3D printer, so that the user can design a customized system according to the selected fluorescent dyes. The fluorescence intensity was measured by varying the number of fluorescently labeled cells, and the measured intensities showed a high linearity within the tested concentration ranges.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.8
• /
• pp.1517-1523
• /
• 2016

The global medical tourism industry including Asian market has been activating recently. That is as medical tourists are motivated to seek the higher quality of healthcare with lower costs, as well as of travel. The consumers in this field tend to need customized services of medical tourism. It is needed that the consumers get customized information on medical services and traveling, the clinics and hospitals resolve the issues of offering translation and luring medical tourists from overseas, and the guides, who offer tour and translation service, provide the consumers and the clinics with customized services so that they get the services needed for one another. This research studies the Offline to Online, called O2O, matching platform based on global clinics, which connects medical facilities, patients, and guides for traveling and language services. It presents the customized marketing plans by utilizing customers' experiences from medical services and traveling they use.

• Journal of the Korean Society of Industry Convergence
• /
• v.9 no.3
• /
• pp.221-228
• /
• 2006

As Industrialization gets more and more advanced, human technological medical apparatus for dentistry has been developed. Such a medical apparatus have to let precision revolution and torque control facilitate. Consequently, Development of Micro hand-piece with strong durability should be required. Moreover, It's also very important to evaluate performance of such a Micro hand-piece, Evaluation of Mechanical property of Material and ANOVA have been known as useful methods in the field of Quality Evaluation. For Verification of Quality Evaluation, It has been evaluated by One-way layout ANOVA based on the data of Surface Roughness Test. Anyhow, This test has been respectively carried out by 3 kinds of Test and Superior performance has appeared in the Test result.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2011.06a
• /
• pp.273-276
• /
• 2011

우리는 감성 공학에 기반하여 일상 생활 속에서 비침습적이면서 사용하기 간편한 광전용적맥파신호를 계측하고 분석하는 이어폰형 생체 신호 측정 시스템에 관하여 연구하였다. 생체 신호 측정 시스템에서는 광전용적맥파(photoplethysmograph, PPG)와 3축 가속도로 생체 신호와 운동 신호를 활용하였다. 수신된 생체 신호인 광전용적맥파 신호는 Peak 검출 및 전처리 알고리즘을 통하여 심박동변동성(heart rate Variablity,HRV)에 대한 시계열 정보로 변환하고 고속 퓨리에 변환(Fast Fourier Transfirm, FFT)과 전력 스펙트럼 밀도 분석(Power Spectrum Density, PSD)방법으로 교감과 부교감 신경 활성도 변화를 관측하였고, 운동 센서로 움직임을 관측하였다. 수신부 시스템은 안드로이드 기반의 자바 어플리케이션으로 스마트 폰에서 구현하였고, 송신부인 이어폰 생체정보 측정모듈로 맥파를 측정하여 상황에 따라 변화하는 자율 신경계의 활성도비율을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.04a
• /
• pp.950-953
• /
• 2009

컴퓨팅 및 네트워크 기술이 발전함에 따라 그리드 응용의 복잡도 및 컴퓨팅 요구사항이 커지게 되었으며, 이로 인해 그리드 워크플로우 관리 기술의 중요성이 더욱 부각되었다. 이러한 복잡한 그리드 응용을 위해 다양한 그리드 워크플로우 관리 시스템이 개발되었으나 사용자의 요구사항에 대한 고려, 안정성 그리고 사용자와의 상호작용 등의 기능이 부족하였으며 특히 자원관리 기능에 대한 지원이 부족하였다. 본 논문에서는 기존의 응용 친화적인 워크플로우 관리 시스템과 그리드 워크플로우 관리 시스템을 정책 기반 메커니즘을 이용, 통합하여 새로운 Hybrid 형태의 워크플로우 관리 시스템을 제안하였으며, 제안하는 방법이 어떻게 사용자의 요구수준을 만족시킬 수 있는지를 서술하고 이를 대사증후군을 위한 질병진단 시스템에 적용하여 실험적으로 증명하였다.