• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.3036-3038
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• 1999

The conventional structure for an action selector of an Autonomous Mobile Robot (AMR) has been criticized for a repeated action. To overcome this problem recently many researches have been focused on the reactive planning systems such as the biological immune system. In this paper, we propose a learning aritificial immune network, the learning method is to use Genetic Algorithm (GA). The computer simulation show that the usefulness of the learning immune network.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.3
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• pp.246-254
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• 2002

In this paper auto-tuning scheme of PID controller based on the reference model has been studied for a Process control system by immune algorithm. Up to this time, many sophisticated tuning algorithms have been tried in order to improve the PID controller performance under such difficult conditions. Also, a number of approaches have been proposed to implement mixed control structures that combine a PID controller with fuzzy logic. However, in the actual plant, they are manually tuned through a trial and error procedure, and the derivative action is switched off. Therefore, it is difficult to tune. Since the immune system possesses a self organizing and distributed memory, it is thus adaptive to its external environment and allows a PDP (Parallel Distributed Processing) network to complete patterns against the environmental situation. Simulation results reveal that reference model basd tuning by immune network suggested in this paper is an effective approach to search for optimal or near optimal process control.

• BMB Reports
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• v.55 no.6
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• pp.259-266
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• 2022

Recent studies have revealed that the immune system plays a critical role in various physiological processes beyond its classical pathogen control activity. Even under a sterile condition, various cells and tissues can utilize the immune system to meet a specific demand for proper physiological functions. Particularly, a strong link between immunity and metabolism has been identified. Studies have identified the reciprocal regulation between these two systems. For example, immune signals can regulate metabolism, and metabolism (cellular or systemic) can regulate immunity. In this review, we will summarize recent findings on this reciprocal regulation between immunity and metabolism, and discuss potential biological rules behind this interaction with integrative perspectives.

• The Journal of Korean Medicine
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• v.32 no.6
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• pp.10-17
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• 2011

Background: Vibration response imaging (VRI) is a new technology that records energy generated by airflow during the respiration cycle. Analysis of lung sound using VRI may overcome the limitations of auscultation. Objectives: To set a VRI standard for healthy Koreans, we conducted a clinical assessment to evaluate breath sound images and quantification in healthy subjects and compared the findings with reported breath sound characteristics. Methods: Recordings were performed using the VRIxp. Eighty subjects took a deep breath four times during a 12-second interval while sitting upright. The quantitative aspect was analyzed using the VRI quantitative lung data (QLD) for total left lung, total right lung and for six lung regions: left upper lung (LUL), left middle lung (LML), left lower lung (LLL), right upper lung (RUL), right middle lung (RML), right lower lung (RLL). The qualitative aspect was provided through image assessments by three reviewers. Results: In all regions the left lung had significantly higher QLD than the right lung (P<0.005, paired t-test). The inter-rater agreement was 0.78. 84% of the images were found normal by the final assessment. Among the 16% (n=13) of images with abnormal final assessment, the most common flawed features were dynamic image (77%, n=10) and maximum energy frame (MEF) shape (77%, n=10). No significant differences were found between males and females for QLD but there were significant differences in qualitative aspects including dynamic images, MEF shape, and missing LLL. Conclusion: The characteristics of healthy Koreans are similar to those of Western subjects reported previously. VRI is easy to use and objective, and so is helpful to diagnose patients with respiratory diseases and to monitor the progress of diseases after medical treatments.

• The Journal of Internal Korean Medicine
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• v.43 no.3
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• pp.396-412
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• 2022

Objective: The aim of this study was to identify the clinical features of post-acute COVID-19 syndrome and the efficacy and safety of Korean medicine treatment. Methods: This study was conducted on 15 patients with post-acute COVID-19 syndrome who visited the outpatient Allergy, Immune, and Respiratory System Department at Kyung Hee University Korean Medicine Hospital from January 10, 2021 to April 10, 2022. We retrospectively analyzed the charts of 15 patients and collected clinical characteristics, Korean medicine treatments, outcome variables (Numeral Rating Scale (NRS), modified Medical Research Council scale (mMRC), Leicester Cough Questionnaire (LCQ), Quality of Life Visual Analog Scale (QOL-VAS), The Post-COVID-19 Functional Status (PCFS)), adverse events, etc. Results: Of the 15 patients, seven (46.7%) were men, and the average age of all patients was 49.7±13 years. The most common symptom was cough (n=9, 60%), and it was followed by dyspnea or increased respiratory effort, fatigue, insomnia, anosmia, etc. The herbal medicine was prescribed for all 15 patients, and Saengmaek-san (n=8, 53.5%) was the most prescribed. Additionally, acupuncture and cupping were performed in four patients (26.7%) each, and electroacupuncture was applied to one patient (6.7%). As a result of Korean medicine treatment, NRS, mMRC, LCQ, QOL-VAS, and PCFS showed improvement, and adverse events were mild. Conclusions: This study presented the clinical features of post-acute COVID-19 syndrome and suggested that Korean medicine treatment may be effective in alleviating related symptoms and enhancing quality of life.

• Journal of Microbiology and Biotechnology
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• v.32 no.9
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• pp.1086-1097
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• 2022

During the last decades, research and therapeutic methods in cancer treatment have been evolving. As the results, nowadays, cancer patients are receiving several types of treatments, ranging from chemotherapy and radiation therapy to surgery and immunotherapy. In fact, most cancer patients take a combination of current anti-cancer therapies to improve the efficacy of treatment. However, current strategies still cause some side effects to patients, such as pain and depression. Therefore, there is the need to discover better ways to eradicate cancer whilst minimizing side effects. Recently, immunotherapy, particularly immune checkpoint blockade, is rising as an effective anti-cancer treatment. Unlike chemotherapy or radiation therapy, immunotherapy has few side effects and a higher tumor cell removal efficacy depend on cellular immunological mechanisms. Moreover, recent studies suggest that tissue immune responses are regulated by their microbiome composition. Each tissue has their specific microenvironment, which makes their microbiome composition different, particularly in the context of different types of cancer, such as breast, colorectal, kidney, lung, and skin. Herein, we review the current understanding of the relationship of immune responses and tissue microbiome in cancer in both animal and human studies. Moreover, we discuss the cancer-microbiome-immune axis in the context of cancer development and treatment. Finally, we speculate on strategies to control tissue microbiome alterations that may synergistically affect the immune system and impact cancer treatment outcomes.

• Journal of Convergence Society for SMB
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• v.2 no.2
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• pp.1-6
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• 2012

In this paper, we propose a detector generation model which is applied to immune system to improve the misuse detection rates in misuse detection models. 10cv method is used to sendmail data which is provided by the DARPA. We experimented and analyzed the misuse detection rate that is either judgment of the normal system call as abnormal system call or judgment of the abnormal system call as normal system call. In the experiment, between detector which was generated by any abnormal system call and temporary detector. I did experiments with a new detector which was removed temporary detector which made a wrong decision for normal system call as an abnormal system call and abnormal system call as a normal system call. The misuse detection rate of detector which is applied to the immune system is greater than the other detector by 0.3%.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.185-188
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• 2001

According as many people use a computer newly, damage of computer virus and hacking is rapidly increasing by the crucial users. To block hacking that is intrusion of a person's computer and the computer virus that destroys data, a study for intrusion-detection of system and virus detection using a biological immune system is in progress. In this paper, we make a model of positive selection and negative selection of self-recognition process that is ability of T-cytotoxic cell that plays an important part in biological immune system. So we embody a self-nonself distinction algorithm in computer. To prove the efficacy of self-recognition algorithm, we use simulations by a cell change and a string change of self file.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.85-92
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• 2012

In this study the real situation of apartment house in seoul is reproduced with multi-zone modeling program contam2.4. This model include immune building system(disinfection system) which is consist of dilution, Filter Technology and UVGI(ultra violet germicidal irrdiation). In this study experiments design method used for estimating interaction of HRV air change rate, UVGI air change rate and UVGI grade. Result show that HRV air change rate and UVGI air change rate is most influence factor for remove rate. also Interaction of HRV air change rate and UVGI air change rate is ost influence factor for remove rate.

• Journal of Korean Traditional Oncology
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• v.15 no.1
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• pp.79-87
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• 2010

Objectives : Quality of life(QoL) in patients with lung cancer usually goes down after pneumoectomy, and the pain is the most common cause. Uncontrolled postoperative pain can restrict the movements of shoulders resulting in frozen shoulder. This case report is to report the effect of herb medicine, Ohjuksan on a 49-year-old female lung cancer patient with shoulder pain after lobectomy. Methods : The patient was treated with Ohjuksan for 10 days. The patient's symptoms were assessed by range of motion(ROM) of shoulder, Visual analogue scale(VAS) of shoulder pain and abdominal diagnosis. Results & Conclusions : The patient showed improvement of ROM, VAS and abdominal diagnosis. As the shoulder pain is relieved from VAS6 to VAS3, ROM of abduction, adduction and internal rotation were increased. Also discomfort of abdomen was disapeared to a certain degree. This suggests that herb medicine, Ohjuksan is effective for treating postoperative pain of shoulder for a Lung cancer patient.