• Title/Summary/Keyword: G10 support

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Design of a Software Platform to Support Manufacturing Enterprises Using 3D CAD Data (3D CAD 데이터 기반의 제조기업 지원서비스를 위한 소프트웨어 플랫폼 설계)

  • Kwon, Hyeok-Jin;Yoon, Joo-Sung;Oh, Joseph;Lee, Joo-Yeon;Kim, Bo-Hyun
    • Korean Journal of Computational Design and Engineering
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    • v.19 no.4
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    • pp.434-442
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    • 2014
  • Most manufacturing enterprises create CAD data as a result of the product/part design process; however, the CAD data is being utilized only for production activities. Besides the processes directly related to manufacturing such as design and production, the CAD data is an important resource that can be used in variety of services (e.g., catalog production and production manuals) for manufacturing enterprises. This study proposes a software platform that can support a wide range of services for manufacturing companies in an efficient and productive way. The software platform was designed based on the functions identified by requirement analysis. The platform consists of four layers: data model layer to manage relevant data; library layer and common function layer to configure services; and application layer to install and run the software. Finally, this study evaluates the validity of the proposed platform architecture by applying it to the digital catalog system.

Deterministic and probabilistic analysis of tunnel face stability using support vector machine

  • Li, Bin;Fu, Yong;Hong, Yi;Cao, Zijun
    • Geomechanics and Engineering
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    • v.25 no.1
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    • pp.17-30
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    • 2021
  • This paper develops a convenient approach for deterministic and probabilistic evaluations of tunnel face stability using support vector machine classifiers. The proposed method is comprised of two major steps, i.e., construction of the training dataset and determination of instance-based classifiers. In step one, the orthogonal design is utilized to produce representative samples after the ranges and levels of the factors that influence tunnel face stability are specified. The training dataset is then labeled by two-dimensional strength reduction analyses embedded within OptumG2. For any unknown instance, the second step applies the training dataset for classification, which is achieved by an ad hoc Python program. The classification of unknown samples starts with selection of instance-based training samples using the k-nearest neighbors algorithm, followed by the construction of an instance-based SVM-KNN classifier. It eventually provides labels of the unknown instances, avoiding calculate its corresponding performance function. Probabilistic evaluations are performed by Monte Carlo simulation based on the SVM-KNN classifier. The ratio of the number of unstable samples to the total number of simulated samples is computed and is taken as the failure probability, which is validated and compared with the response surface method.

Comparing automated and non-automated machine learning for autism spectrum disorders classification using facial images

  • Elshoky, Basma Ramdan Gamal;Younis, Eman M.G.;Ali, Abdelmgeid Amin;Ibrahim, Osman Ali Sadek
    • ETRI Journal
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    • v.44 no.4
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    • pp.613-623
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    • 2022
  • Autism spectrum disorder (ASD) is a developmental disorder associated with cognitive and neurobehavioral disorders. It affects the person's behavior and performance. Autism affects verbal and non-verbal communication in social interactions. Early screening and diagnosis of ASD are essential and helpful for early educational planning and treatment, the provision of family support, and for providing appropriate medical support for the child on time. Thus, developing automated methods for diagnosing ASD is becoming an essential need. Herein, we investigate using various machine learning methods to build predictive models for diagnosing ASD in children using facial images. To achieve this, we used an autistic children dataset containing 2936 facial images of children with autism and typical children. In application, we used classical machine learning methods, such as support vector machine and random forest. In addition to using deep-learning methods, we used a state-of-the-art method, that is, automated machine learning (AutoML). We compared the results obtained from the existing techniques. Consequently, we obtained that AutoML achieved the highest performance of approximately 96% accuracy via the Hyperpot and tree-based pipeline optimization tool optimization. Furthermore, AutoML methods enabled us to easily find the best parameter settings without any human efforts for feature engineering.

Study of Sugarcane Pieces as Yeast Supports for Ethanol Production from Sugarcane Juice and Molasses Using Newly Isolated Yeast from Toddy Sap

  • Babu, Neerupudi Kishore;Satyanarayana, Botcha;Balakrishnan, Kesavapillai;Rao, Tamanam Raghava;Rao, Gudapaty Seshagiri
    • Mycobiology
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    • v.40 no.1
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    • pp.35-41
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    • 2012
  • A repeated batch fermentation system was used to produce ethanol using $Saccharomyces$ $cerevisiae$ strain (NCIM 3640) immobilized on sugarcane ($Saccharum$ $officinarum$ L.) pieces. For comparison free cells were also used to produce ethanol by repeated batch fermentation. Scanning electron microscopy evidently showed that cell immobilization resulted in firm adsorption of the yeast cells within subsurface cavities, capillary flow through the vessels of the vascular bundle structure, and attachment of the yeast to the surface of the sugarcane pieces. Repeated batch fermentations using sugarcane supported biocatalyst were successfully carried out for at least ten times without any significant loss in ethanol production from sugarcane juice and molasses. The number of cells attached to the support increased during the fermentation process, and fewer yeast cells leaked into fermentation broth. Ethanol concentrations (about 72.65-76.28 g/L in an average value) and ethanol productivities (about 2.27-2.36 g/L/hr in an average value) were high and stable, and residual sugar concentrations were low in all fermentations (0.9-3.25 g/L) with conversions ranging from 98.03-99.43%, showing efficiency 91.57-95.43 and operational stability of biocatalyst for ethanol fermentation. The results of the work pertaining to the use of sugarcane as immobilized yeast support could be promising for industrial fermentations.

Effect of Phellinus baumii -Biotransformed Soybean Powder on Lipid Metabolism in Rats

  • Kim, Dae Ik;Kim, Kil Soo;Kang, Ji Hyuk;Kim, Hye Jeong
    • Preventive Nutrition and Food Science
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    • v.18 no.2
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    • pp.98-103
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    • 2013
  • In this study, we evaluated the hypolipidemic and antioxidative effects of biotransformed soybean powder (BTS; Phellinus baumii-fermented soybean) on lipid metabolism in rats. Sprague-Dawley (SD) male rats were divided into basal diet group (BA), high fat diet group (HF), high fat diet containing 10% BTS group (10 BTS), and high fat diet containing 20% BTS group (20 BTS). Changes in the content of various isoflavones, including daidzein and genistein, within the soybean after fermentation to BTS were investigated. The levels of daidzein and genistein were $149.28{\mu}g/g$ and $364.31{\mu}g/g$, respectively. After six weeks experimental period, Food efficiency ratio in the 10 and 20 BTS group was significantly lower than the HF group (P<0.05). Total serum levels of cholesterol, triglycerides, low-density lipoprotein cholesterol, and atherogenic index ratio in the 10 or 20 BTS group were significantly lower than the HF group. The levels of alanine aminotransferase, aspartate aminotransferase and thiobarbituric acid reactive substance were significantly lower in the groups that received 10% and 20% BTS than the HF. The activities of SOD and CAT were significantly higher in the 10 and 20 BTS group than the HF group. The activity of XO in the 10 and 20 BTS group was significantly lower than in the HF group by 20% and 23%, respectively. In conclusion, these data suggest that BTS is an effective agent in improving lipid metabolism and antioxidant enzyme system.

Study on Suitability for Web Service of River Geospatial Information (하천공간정보 웹 서비스의 적합성에 관한 연구)

  • HONG, Sung-Soo;SHIN, Hyung-Jin;HWANG, Eui-Ho;CHAE, Hyo-Suk
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.2
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    • pp.121-132
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    • 2019
  • Recently as development of internet, Service based on World Wide Web is rapidly growing. According to this, Importance for suitability of web service is emphasized by increased user with development of technique of web service. Geospatial information field included with River Geospatial information(HydroG-OneFlow) has been doing that many study about web service which center of IT, However study about test of web service is lacking of situation. Accordingly, verification should be carried out to determine the performance of Web services with the Web services implementation HydroG-OneFlow. Performance & stability test are verified that HydroG-OneFlow for Apache Jmeter of open source and conformability & interoperability test are verified for StyleCop. Result of performance is that if users are increase the number of 500, average responses time is about two seconds. and Result of reliability is that if users are increase the number of 500, decrease about 0.2%. it is verified that conformability and interoperability test to swelled about reliability of HydroG-OneFlow. Through that It will be compensate for the implementation of seb service and vulnerability of HydroG-OneFlow.

The Relationship Between Family Related Variables and Program in Healthy Family Support Business (가족관련 변인과 건강가족지원사업 프로그램의 관계)

  • Lee, Hyoung-Ha
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.1
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    • pp.167-175
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    • 2013
  • This study set out from the perception that one should develop and activate differentiated programs from those 5 programs of the Health Family Support Center (family counseling program, family education support project, family affinity culture support project, care support project, diversity family support project) on the subjects (n=299) of residents in G metropolitan city by reflecting the levels of family values, communication between family members and family relationship. To achieve the study purposes above, this study devised research questions as follows: Research question 1. What are the levels of local residents for their family values, communication between family members and family relationship? Research question 2. Is there any difference in demanding family support project programs according to the local residents' family values, communication between family members and family relationship? Following are the results of this study: First, the levels were analyzed to be more than the average (on a maximum scale of 5 points) with local residents' family values (M=3.55, S.D.=.664), communication between family members (M=3.65, S.D.=.669), family relationship (M=3.69 S.D=.584) Second, the necessity levels for family values, communication between family members and family relationship of the group below the average as compared with the group over the average was found to be significantly high in family education support project, family affinity culture support project, care support project and diversity family support project except family counseling program. Accordingly, strategic plans for increasing the participation rate for the programs by the Health Family Support Center and activating those programs could be by investigating in advance the levels of family values, communication between family members and family relationship by each program respectively and differentiating the target level for the program by the group, or by giving preference to the group below the average who have high needs of program necessity when making decisions for the participation preference of the programs.

Preparation of Cation Exchange Membrane using Block Copolymer of Polysulfone and Poly(Phenylene Sulfide Sulfone) and its Electrochemical Characteristics (Polysulfone과 Poly(Phenylene Sulfide Sulfone)의 블록 공중합체를 이용한 양이온 교환막의 제조 및 전기화학적 특성)

  • 임희찬;강안수
    • Membrane Journal
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    • v.10 no.2
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    • pp.66-74
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    • 2000
  • In consideration that a high tensile strength and ion exchange capacity are maintained as the swelling of membrane is controlled by the coagulation of PSf with the introduction of ion exchange groups and PPSS without the introduction of ion exchange groups, the block copolymer of PSf and PPSS were synthesized. The cation exchange membrane was prepared by sulfonation with CSA and casted. The synthesized block copolymer and cation exchange membrane were characterized by FT-IR and their thermal stability was confirmed by TGA. The optimum sulfonation could be accomplished at a mole ratio of BPSf to CSA 1:3. The best electrochemical properties obtained by the optimal condition were area resistance of 4.37 $\Omega$$\textrm{cm}^2$, ion exchange capacity of 1.71 meq/g dry membrane, water content of 0.2941 g $H_2O$/g dry membrane, and fixed ion concentration of 5.81 meq/g $H_2O$. When GBL was used as an additive, area resistance was increased by 13.7 % and ion exchange capacity was increased by 14.6%. When the membrane was fabricated in a form of composite using non woven cloth as a support. the tensile strength of membrane could be improved, but the electrochemical characteristics were not influenced.

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The iron status, clinical symptom and anthropometry between normal and anemic groups of middle school girls

  • Hong, Soon-Myung;Cho, Jee-Ye;Chung, Hea-Jung
    • Nutrition Research and Practice
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    • v.1 no.1
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    • pp.52-56
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    • 2007
  • This research analyzed the iron status, clinical symptoms and physical characteristics between normal and anemic group of middle school girls in the Ulsan metropolitan area. It was carried out with 237 subjects (normal 190, anemic subject 47). They were evaluated with a questionnaire and measurement of hematological indices. BMI $(kg/m^2)$ of the two groups were $19.54{\pm}2.44$ (normal girls) and $19.22{\pm}2.27$ (anemic girls). The hemoglobin concentration of the anemic girls were $10.84{\pm}1.17g/dl$ and the serum iron of the anemic girls represent $35.15{\pm}27.47{\mu}g/100ml$. The TIBC (Total Iron Binding Capacity) of the anemic girls showed significantly high to $449.30{\pm}64.87{\mu}g/100ml$. The serum ferritin of the anemic girls was $20.53{\pm}42.29{\mu}g\ell$, it represented significantly low. The symptom of 'pale face' of the anemic girls were higher than the normal girls. Hemoglobin and serum iron were negatively correlated with 'pale face'. The TIBC was negatively correlated with 'Get a cold easily'. The duration and amount of menstruation were correlated with iron status. This research is to be utilized as basic data for dietary support and nutritional education to improve their iron status.

Nano-scale Probe Fabrication Using Self-assembly Technique and Application to Detection of Escherichia coli O157:H7

  • Oh, Byung-Keun;Lee, Woochang;Lee, Won-Hong;Park, Jeong-Woo
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.8 no.4
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    • pp.227-232
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    • 2003
  • A self-assembled monolayer of protein G was fabricated to develop an immunosensor based on surface plasmon resonance (SPR), thereby improving the performance of the antibodybased biosensor through immobilizing the antibody molecules (lgG). As such, 11-mercaptoundecanoic acid (11-MUA) was adsorbed on a gold (Au) support, while the non-reactive hydrophilic surface was changed through substituting the carboxylic acid group (-COOH) in the 11-MUA molecule using 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrocholide (EDAC). The formation of the self-assembled protein G layer on the Au substrate and binding of the antibody and antigen were investigated using SPR spectroscopy, while the surface topographies of the fabricated thin films were analyzed using atomic force microscopy (AFM). A fabricated monoclonal antibody (Mab) layer was applied for detecting E. coli O157:H7. As a result, a linear relationship was achieved between the pathogen concentration and the SPR angle shift, plus the detection limit was enhanced up to 10$^2$ CFU/mL.