• Title/Summary/Keyword: ML-based Data Analysis

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Effects of Imperatae Rhizoma Extract on T helper 2 cell differentiation (백모근 추출물의 T helper 2 세포 분화 조절 효과)

  • Kim, Bok-Kyu;Lim, Jong-Soon;Kil, Ki-Jung
    • The Korea Journal of Herbology
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    • v.29 no.6
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    • pp.27-33
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    • 2014
  • Objectives : The aims of this study were to exploring the therapeutic effect of Imperatae Rhizoma Extract(IRE) on Asthma. Methods : To investigate biological modulation activities of IRE, we conducted the cell-based assay whether IRE could regulate T helper 2 cells activity with EL4 T cells and mouse splenocytes, and followed animal study to conform the efficacy of their therapeutic potential on OVA-induced asthmatic mouse. Results : In cell study, IRE suppress the nuclear translocation of GATA binding protein-3 protein in phorbol 12-myristate 13-acetate/Ionomycin-stimulated EL4 T cells and Interleukine(IL)-4, IL-5 and IL-13 production in splenocytes at concentration dependent manner. In animal study, IRE-treated groups both 100mg/ml and 200mg/ml improve airway hypersensitibility reaction(AHR) response to methacholine about 30% and 40% with positive control group. Peritoneal blood analysis reveal that eosinophil number and ovalbumin-specific IgE is reduced by IRE treatment. Cell number of eosinophil is also reduced in bronchoalveolar lavage of IRE group like to peritoneal cell and real time-polymerase chain reaction data show that expression levels of IL-4, IL-5 and IL-13 were down regulated in lung tissue. Finally, histological analysis indicate that IRE protect the bronchial tissue damages through the accumulation of inflammatory cells and collagen, and these effect may be cause by interfering Th2 cells activity. Conclusions : Our data represent that IRE potentiates therapeutic activities to the allergic diseases such as asthma by regulating Th2 cells differentiation.

Life Analysis and Reliability Prediction of Micro-Switches based on Life Prediction Method (수명예측 방법에 따른 마이크로스위치의 수명분석 및 신뢰도 예측)

  • Ji, Jung-Geon;Shin, Kun-Young;Lee, Duk-Gyu;Lee, Hi Sung
    • Journal of the Korean Society of Systems Engineering
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    • v.7 no.1
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    • pp.57-69
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    • 2011
  • Reliability means that a product maintains its initial quality and performance at certain period of time(time, distance, cycle etc) under given condition without failure. Given conditions include both environmental condition and operating condition. Environmental condition means common natural environment such as temperature, humidity, vibration, and working condition means artificial environment such as voltage, current load, install place, hours of use, which occurs during using the product. In the field of railway vehicles, although components of railway vehicles with reliability are the trend of mandatory as persisting period of railway vehicles is extended, using components of railway vehicles is insufficient for the practical reliability assessment. but the meaning of the first railway operating agency to acquire the parts in the field, the data suggest the reliability of products if you can and can show the reliability of modular units and modular units can provide the reliability of if you can present reliability of the entire system is thought to be here In this study, lifespan of micro-switch for master controller is analyzed and prediction is performed based on its field data considering the special circumstances of railway vehicles operating agency, such as a large number of trains operates on the same line.

Effects of enamel matrix derivative and titanium on the proliferation and differentiation of osteoblasts (법랑기질유도체를 도포한 타이태늄 표면에서 조골세포의 증식 및 분화)

  • Park, Sang-Hyun;Lee, In-Kyeong;Yang, Seung-Min;Shin, Seung-Yun;Lee, Yong-Moo;Ku, Young;Rhyu, In-Chul;Chung, Chong-Pyoung;Han, Soo-Boo;Choi, Sang-Mook
    • Journal of Periodontal and Implant Science
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    • v.33 no.3
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    • pp.359-372
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    • 2003
  • Among objectives of periodontal therapy. the principal one is the morphological and functional reconstruction of lost periodontal supporting tissues. This includes de novo formation of connective tissue attachment and the regrowth of alveolar bone. The use of enamel matrix derivative(EMD) may be a suitable means of regeneration new periodontal attachment in the infrabony defects. Implant used to replace lost tooth but, implantitis occurred after installation. The purpose of this study was to investigate the effects of EMD on differentiation and growth of osteoblast in titanium disc. Twentyfive millimeter diameter and 1mm thick Ti disc which was coated 25, 50, 100, 200${\mu}g$/ml of EMD(Emdogain(R)) used as experimental group, 25, 50, 100, 200ng/d of rhBMP-2 as positive control group, and no coat as negative control group. A human osteosarcoma cell line Saos-2 was cultured in Ti disc and cell proliferation and Alkaline phosphatase (ALP) activity were measured at 1 and 6 days. PCR was performed at 2 and 8 hours. Semi-quantitative RT-PCR for mRNA expressions of various osteoblastic differentiation markers -type I collagen, ALP, osteopontin, and bone sialoprotein - were performed at appropriate concentrations based upon the results of MTT and ALP assay. Cultured cell-disc complexes were prepared for scanning electron microscopy (SEM) at 2 hour. Data were analyzed using Mann-Whitney and repeated- measures 1-way analysis of variance(SPSS software version 10,SPSS. Chicago. IL). After culture, there was more osteoblast in EMD100${\mu}g$/ml than in EMD50, 200${\mu}g$/ml on day 6. There was significant difference in experimental and positive control group compared control group, as times go by(1 and 6 days). Alkaline phosphatase activity was different significantly in EMD100, 200${\mu}g$/ml and BMP100, 200${\mu}g$/ml on day 6. The results of reverse transcriptase-polymerase chain reaction (RT-PCR) showed that expression of mRNA for ALPase, collagen type I, osteopontin. hone sialoprotein and BMP-2 was detected at 2 hour and 8 hour in EMI 200${\mu}g$/ml subgroup and BMP100ng/ml subgroup. The results of this study suggest that application of enamel matrix derivative on osteoblast attached to titanium surface facilitate the expression of bone specific protein and the differentiation and growth of osteoblast.

Analysis of Frequency domain Characteristics of Ground Reaction Forces during Quiet Standing of Elderly Women (노인여성의 정적직립자세에서 지면반력 주파수 분석)

  • Lee, Kyung-Soon
    • Journal of Korean Physical Therapy Science
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    • v.19 no.1
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    • pp.63-69
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    • 2012
  • Background : The purpose of this study was to investigate the frequency domain characteristics of ground reaction forces during quiet standing on inclined surfaces twenty healthy individuals(10 elderly women $68.78{\pm}3.29$ years and 10 young women $20.90{\pm}0.74$ years) participated. Methods : Subjects stood in quiet stance over a force platform positioned in one of three different fixed positions: flat, down and up. Healthy participants completed with eyes open for 120 s trials. Evaluation of postural control were generally based on the interpretation of center of pressure(COP) time series. The COP have been determined using an experimental setup with 3D kinematic and the ground reaction force system. All the data were expressed means and standard deviation by using SAS package program. Results : SEF 50% were not significant in AP and ML direction according to surface slope of both groups. SEF 95% were showed highest frequency in AP direction on down slope of both groups. MEF were not significant all direction according to surface slopes of elderly women. There was no difference between young and elderly women. Conclusion : Elderly women used to ankle strategy during a quiet stance according to COP perturbation of AP direction showed more expanded than ML direction. SEF 95% were showed highest frequency on down slope in elderly women who showed more used ankle strategy for postural control on down slope.

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Academic Registration Text Classification Using Machine Learning

  • Alhawas, Mohammed S;Almurayziq, Tariq S
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.93-96
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    • 2022
  • Natural language processing (NLP) is utilized to understand a natural text. Text analysis systems use natural language algorithms to find the meaning of large amounts of text. Text classification represents a basic task of NLP with a wide range of applications such as topic labeling, sentiment analysis, spam detection, and intent detection. The algorithm can transform user's unstructured thoughts into more structured data. In this work, a text classifier has been developed that uses academic admission and registration texts as input, analyzes its content, and then automatically assigns relevant tags such as admission, graduate school, and registration. In this work, the well-known algorithms support vector machine SVM and K-nearest neighbor (kNN) algorithms are used to develop the above-mentioned classifier. The obtained results showed that the SVM classifier outperformed the kNN classifier with an overall accuracy of 98.9%. in addition, the mean absolute error of SVM was 0.0064 while it was 0.0098 for kNN classifier. Based on the obtained results, the SVM is used to implement the academic text classification in this work.

Studies on the Antioxidant and Whitening Effects of Cheongyang Pepper based on a Bibliometric Approach

  • Eunsoo Sohn;Hyo Jin Kim;Chang Woo Ha;Sohee Jang;Jung Hun Choi;Sung Hyeok Kim;Tae-Seong Lee;Eun-Hwa Sohn
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2023.04a
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    • pp.41-41
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    • 2023
  • Red pepper (Capsicum annuum L.) is one of the most consumed vegetable worldwide. In this study, we tried to suggest the possibility of Cheongyang pepper as a functional cosmetic material by identifying the physiological activity, especially antioxidant and whitening effects of Cheongyang pepper through bibliometric analysis and experimental studies. A bibliometric analysis was performed through co-word analysis of 8,892 papers retrieved from SCOPUS. 4 research fields were obtained by cluster mapping from VOSviewer software, among which we noted the antioxidant activity of extracts from Capsicum annum L.. Phenol as a useful ingredient of Cheongyang pepper was analyzed using HPLC (high-performance liquid chromatography). Antioxidant and whitening effects were evaluated by measuring DPPH (2,2-diphenyl-1-picrylhydrazyl) radical scavenging activity, hydrogen peroxide scavenging activity, and tyrosinase inhibitory activity. Cheongyang pepper extract showed contents of 0.106 ± 0.01 and 0.105 ± 0.02 mg/g, respectively, in the order of gallic acid and protocatechuic acid. The extract exhibited 56.95% DPPH scavenging activity and 43.97% hydrogen peroxide scavenging activity at a concentration of 1,000 ㎍/ml. In addition, 1,000 ㎍/ml of the extract inhibited tyrosinase activity by 52.44% and 42.61%, respectively in a whitening efficacy test using L-tyrosine and L-DOPA (L-3,4- dihydroxyphenylalanine) as substrates. These results suggest that Cheongyang pepper extract and its active ingredients have antioxidant and whitening effects, and the possibility of future development as a whitening functional cosmetic material.

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Exploring AI Principles in Global Top 500 Enterprises: A Delphi Technique of LDA Topic Modeling Results

  • Hyun BAEK
    • Korean Journal of Artificial Intelligence
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    • v.11 no.2
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    • pp.7-17
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    • 2023
  • Artificial Intelligence (AI) technology has already penetrated deeply into our daily lives, and we live with the convenience of it anytime, anywhere, and sometimes even without us noticing it. However, because AI is imitative intelligence based on human Intelligence, it inevitably has both good and evil sides of humans, which is why ethical principles are essential. The starting point of this study is the AI principles for companies or organizations to develop products. Since the late 2010s, studies on ethics and principles of AI have been actively published. This study focused on AI principles declared by global companies currently developing various products through AI technology. So, we surveyed the AI principles of the Global 500 companies by market capitalization at a given specific time and collected the AI principles explicitly declared by 46 of them. AI analysis technology primarily analyzed this text data, especially LDA (Latent Dirichlet Allocation) topic modeling, which belongs to Machine Learning (ML) analysis technology. Then, we conducted a Delphi technique to reach a meaningful consensus by presenting the primary analysis results. We expect to provide meaningful guidelines in AI-related government policy establishment, corporate ethics declarations, and academic research, where debates on AI ethics and principles often occur recently based on the results of our study.

Automatic Measurement of Respiration Rate and Weight Loss during Storage of Citrus fruits (과채류 저장시 호흡량과 중량감소의 자동계측)

  • Park, Je-Kyun;Chun, Jae-Kun;Lee, Seung-Koo;Kim, Kong-Hwan
    • Korean Journal of Food Science and Technology
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    • v.21 no.3
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    • pp.387-390
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    • 1989
  • Citrus fruit (Citrus unshiu Marc) were stored in the facillity controlled with a microprocessor-based storage controller, and the respiration rate and weight loss of fruits were measured with the infrared gas analyzer and the strain gauge load cell. The storage conditions and measuring intervals were set by the keyboard of personal computer. The interfacing cicuitry between the computer and Z-80 microprocerssor was built with peripheral Interfacing It chips 6821 and 8255. The data measured were saved to a data file for recording and further analysis. When the fresh and bruised fruits were subjected to the storage condition for 4 days at 20 C, the respiration rate of the fresh one showed a stable value of 3-5ml $CO_2/kg$ h throughout the storage period while the bruised one exihibited an abruptly increased rate after 50 hours. And the weight loss recorded about 5% during the storage.

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A Network Packet Analysis Method to Discover Malicious Activities

  • Kwon, Taewoong;Myung, Joonwoo;Lee, Jun;Kim, Kyu-il;Song, Jungsuk
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.143-153
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    • 2022
  • With the development of networks and the increase in the number of network devices, the number of cyber attacks targeting them is also increasing. Since these cyber-attacks aim to steal important information and destroy systems, it is necessary to minimize social and economic damage through early detection and rapid response. Many studies using machine learning (ML) and artificial intelligence (AI) have been conducted, among which payload learning is one of the most intuitive and effective methods to detect malicious behavior. In this study, we propose a preprocessing method to maximize the performance of the model when learning the payload in term units. The proposed method constructs a high-quality learning data set by eliminating unnecessary noise (stopwords) and preserving important features in consideration of the machine language and natural language characteristics of the packet payload. Our method consists of three steps: Preserving significant special characters, Generating a stopword list, and Class label refinement. By processing packets of various and complex structures based on these three processes, it is possible to make high-quality training data that can be helpful to build high-performance ML/AI models for security monitoring. We prove the effectiveness of the proposed method by comparing the performance of the AI model to which the proposed method is applied and not. Forthermore, by evaluating the performance of the AI model applied proposed method in the real-world Security Operating Center (SOC) environment with live network traffic, we demonstrate the applicability of the our method to the real environment.

Appropriate Size and Dish Combination of Nutritional-Balanced Lunch Boxes Delivered to Children Under the Government-Funded Meal Service Program in Korea (영양적으로 균형 있는 아동급식사업용 도시락의 적정한 용기 크기 및 음식 구성)

  • Asano, Kana;Yoon, Ji-Hyun;Yoon, Bo-Rham
    • Korean Journal of Community Nutrition
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    • v.14 no.5
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    • pp.565-575
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    • 2009
  • The purpose of this study was to propose the appropriate sizes and dish combination for nutritional-balanced lunch boxes delivered to children under the government-funded meal service program in Korea. The study was based on the 3 : 1 : 2 Meal Box Magic, a nutrition education method developed in Japan. A total of 290 lunch menus, comprising of 10 day menus from 29 organizations having delivered lunch boxes to children during summer vacation of 2008, were analyzed and used as the base data for lunch box combination. Dishes of the menus were classified into 6 groups: Rice group, Protein side dish group (including meat, fish, egg, and bean dishes), Vegetable side dish group, Kimchi group (including kimchi and jangajji), Soup stew group, and the other group. Nutrient analysis was conducted for 100 ml of these dishes by CAN Pro 3.0 utilizing volume and weight conversion data used for analysis of the Korea Health and Nutrition Examination Survey and those from the Nutrient Composition of Food for Consumers. All the possible combinations of 5 dishes, comprising of 3 dishes from Rice group, Protein side dish group, and Kimchi group, respectively, and 2 dishes from Vegetable side dish group, were made using the frequently served dishes from the respective dish group. Nutrient analysis of each combination was conducted based on the assumption that a lunch box was 600 ml and filled up to 80% by dishes using the volume ratio of 3 : 1 : 1.5 : 0.5 for Rice group : Protein side dish group : Vegetable side dish group : Kimchi group. The mean and standard deviation of energy and nutrients of all combinations calculated by weighting the serving frequency of each dish selected for the combinations were $621\pm81$ kcal for Energy, $22.1\pm5.0$ g for Protein, $120\pm45$ mg for Calcium, $4.1\pm1.1$ mg for Iron, $201\pm130\;{\mu}g$ RE for Vitamin A, $0.34\pm0.10$ mg for Thiamin, $0.27\pm0.10$ mg for Riboflavin, and $24.3\pm9.6$ mg for Vitamin C. The energy percentages from Carbohydrate, Protein and Fat were 66%, 14% and 20%. The analysis results met the nutrition standard of lunch boxes for male elementary students in grades 4 through 6 under the government-funded meal service program regarding calories, nutrients except calcium and riboflavin, and macronutrient distribution ranges. Accordingly appropriate box sizes were suggested for different age and sex groups to meet the respective nutrition standards. In addition, milk or dairy products were suggested to accompany lunch boxes to supplement calcium and riboflavin intake. The method of selecting box sizes and making dish combination suggested in this study could be useful for the organizations preparing lunch boxes under the government-funded children's meal service program where nutrition professionals are not available.