• Title/Summary/Keyword: group processing

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Genetic Engineering for Detection of Endocrine Disruption using I-18 C Gene Expression in Chironomus riparius

  • Kwak Inn-Sil
    • Korean Journal of Environmental Biology
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    • v.23 no.3 s.59
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    • pp.269-274
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    • 2005
  • The 2D/E gel analysis for polypeptide expression reflecting I-18 C gene (early-ecdysterone inducible gene) has conducted the emerged C. riparius adults from larval phase exposure to tebufenozide acting as an ecdysteroidal molting hormone. Control group, the amount of ORE II of the I-18 C gene was larger than that of ORE I of this gene. After treatments, ORE I of the I-18 C gene was overexpressed as the polypeptide, whereas ORF II of this gene was expressed as the polypeptide and was clearly reduced expression. Accordingly, we consider that tebufenozide exhibited endocrine disruptions related processing of ecdysteroid receptor protein reflecting ORF II of I-18 C gene. Also, earlier emergence day was related overexpressed polypeptide reflecting ORE I of I-18 C gene. In this study result, tebufenozide induced changing of physiological condition, and then polypeptide expression reflecting early-ecdysterone inducible I-18 C gene was different between control group and exposure group.

Development of an Automatic Program to Analyze Sunspot Groups on SOHO/MDI Continuum Images using OpenCV

  • Park, Jong-Yeob;Moon, Yong-Jae;Choi, Seong-Hwan
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.102.2-102.2
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    • 2011
  • Sunspots usually appear in a group which can be classified by certain morphological criteria. In this study we examine the moments which are statistical parameters computed by summing over every pixels of contours, in order to quantify the morphological characteristics of a sunspot group. The moments can be additional characteristics to the sunspot group classification such as McIntosh classification. We are developing a program for image processing, detection of contours and computation of the moments using continuum images from SOHO/MDI. We apply the program to count the sunspot numbers from 303 continuum images in 2003. The sunspot numbers obtained by the program are compared with those by SIDC. The comparison shows that they have a good correlation (r=89%). We are extending this application to automatic sunspot classification (e.g., McIntosh classification) and flare forecasting.

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Time-Multiplexed FIR Filter Design Using Group CSD(GCSD) Multipliers (Group CSD(GCSD) 곱셈기를 이용한 Time-Multiplexed FIR 필터 설계)

  • Jeon, Chang-Ha;Seo, Dong-Hyun;Chung, Jin-Gyun;Kim, Yong-Eun;Lee, Chul-Dong
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.2
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    • pp.452-456
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    • 2010
  • Multiplication is a fundamental arithmetic operation in many digital signal processing (DSP) and communication algorithms. The group CSD (GCSD) multiplier was recently proposed based on the variation of canonical signed digit (CSD) encoding and partial product sharing. This multiplier provides an efficient design when the multiplications are performed only with a few predetermined coefficients (e.g., FFT). In this paper, it is shown that, by exploiting the characteristics of the filter coefficients, GCSD multipliers can be used for the efficient implementation of time-multiplexed FIR filters.

Data Mining Approach for Real-Time Processing of Large Data Using Case-Based Reasoning : High-Risk Group Detection Data Warehouse for Patients with High Blood Pressure (사례기반추론을 이용한 대용량 데이터의 실시간 처리 방법론 : 고혈압 고위험군 관리를 위한 자기학습 시스템 프레임워크)

  • Park, Sung-Hyuk;Yang, Kun-Woo
    • Journal of Information Technology Services
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    • v.10 no.1
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    • pp.135-149
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    • 2011
  • In this paper, we propose the high-risk group detection model for patients with high blood pressure using case-based reasoning. The proposed model can be applied for public health maintenance organizations to effectively manage knowledge related to high blood pressure and efficiently allocate limited health care resources. Especially, the focus is on the development of the model that can handle constraints such as managing large volume of data, enabling the automatic learning to adapt to external environmental changes and operating the system on a real-time basis. Using real data collected from local public health centers, the optimal high-risk group detection model was derived incorporating optimal parameter sets. The results of the performance test for the model using test data show that the prediction accuracy of the proposed model is two times better than the natural risk of high blood pressure.

Implementation and Performance Analysis of Group Communication using the CORBA & JAVA (CORBA와 JAVA를 이용한 그룹통신 구현 및 성능 분석)

  • Choe, Man-Eok;Gu, Yong-Wan
    • The KIPS Transactions:PartA
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    • v.8A no.4
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    • pp.461-468
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    • 2001
  • Large-scale distributed applications based on Internet and client/server applications have to deal with series of problems such as load balancing, unpredictable communication delays, partial errors, and networking failures. Therefore, sophisticated applications such as teleconferencing, video-on-demand, and concurrent software engineering require an abstracted communication. In this paper, we present our design, implementation and performance analysis of group communication using the CORBA ORB, JAVA RMI, Socket based on distributed computing. We anticipate our study may apply to the various field of applications such as fault-tolerant client/server system, groupware, scalable text retrieval system, and financial information systems.

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Recognition of the Printed English Sentence by Using Japanese Puzzle

  • Sohn, Young-Sun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.8 no.3
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    • pp.225-230
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    • 2008
  • In this paper we embody a system that recognizes printed alphabet, numeral figures and symbols written on the keyboard for the recognition of English sentences. The image of the printed sentences is inputted and binarized, and the characters are separated by using histogram method that is the same as the existing character recognition method. During the abstraction of the individual characters, we classify one group that has not numerical information by the projection of the vertical center of the character. In case of another group that has the longer width than the height, we assort them by normalizing the width. The other group normalizes the height of the images. With the reverse application of the basic principle of the Japanese Puzzle to a normalized character image, the proposed system classifies and recognizes the printed numeral figures, symbols and characters, consequently we meet with good result.

A Non-Cirucular Contact Arc Model for Temper Rolling

  • Y.L. Liu;Lee, W.H.;Cho, K.J.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 1999.08a
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    • pp.293-300
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    • 1999
  • A mathematical model for the analysis of roll gap phenomena in strip temper rolling process is described. The mechanical peculiarities of temper rolling process, such as high friction value and non-circular contact arc, low reduction and non-negligible entry and exit elastic zones as well as central restricted deformation (preliminary displacement or sticking) zone etc., are all taken into account. The deformation of work rolls is calculated with the influence function method and arbitrary contact arc shape is permitted. The strip deformation is modeled by slab method and the entry and exit elastic deformation zones are included. The restricted deformation zone near the neutral point is also considered. The concept and the calculation method of limiting preliminary displacement are used to determine the length of the central restricted deformation zone. The comparison of the model results with the measured mill data is also made.

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A management scheme of agent node in crowd group (군집 그룹에서 에이전트 노드 관리 방안)

  • Park, Sangjoon;Lee, Jongchan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.537-538
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    • 2021
  • In this paper, we consider the agent management scheme for the data gathering in the crowd group. To the critical data gathered in dangerous region, the possibility of mission failure caused by the sensor node damage can be high. Hence, we study the node processing to the danger agent node through the cooperative network method for the sensor nodes.

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THE EFFECTIVENESS AND CHARACTERISTICS OF 3 POINT TASK ANALYSIS AS A NEW ERGONOMIC AND KANSEI DESIGN METHOD

  • Yamaoka, Toshiki;Matsunobe, Takuo
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2001.05a
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    • pp.15-19
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    • 2001
  • This paper describes effectiveness and characteristics of 3 P(point) task analysis as a new Ergonomic and Kansei design method for extracting user demand especially. The key point in 3 P task analysis is to describe the flow of tasks and extract any problems in each task. A solution of a problem means a user demand. 3 P task analysis cal eliminate an oversight of check items by examining the users' information processing level. The suers' information processing level was divided into the following three stages for problem extraction: acquirement of information ---> understanding and judgment ---> operation. Three stages has fourteenth cues such as difficulty of seeing, no emphasis, mapping for extracting problems. To link analysis results to the formulation of a product concept. I added a column on the right side of the table for writing the requirements (user demand) to resolve the problems extracted from each task. The requirements are extracted by using seventh cues. Finally 3 P task analysis was compared with group interview to make the characteristics of 3 P task analysis, especially extracting user demand, clear.

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Silicone Injection Mold & Molding Technology for Super-hydrophobic Curved Surface (초발수 곡면표면 실리콘 사출금형성형기술)

  • Lee, Sung-Hee;Kang, Jeong-Jin;Lee, Jong-Won;Hong, Seok-Kwan;Ko, Jong-Soo;Lee, Jae-Hoon;Noh, Ji-Whan
    • Journal of the Korean Society for Precision Engineering
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    • v.29 no.1
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    • pp.13-18
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    • 2012
  • In this study, silicone injection molding technology with curved thermoplastic insert was developed to produce super-hydrophobic surface. Thermoplastic insert part and injection mold design of base plastic cover were performed to produce cost effective hydrophobic surface part. An optimization process of part thickness for thermoplastic insert part was performed with transient thermal analysis under silicone over-molding process condition. Structural thermal analysis of silicone injection mold was also performed to obtain uniform temperature condition on the surface of micro-patterned mold core. Super-hydrophobic surface for the silicone injection molded part with thermoplastic insert could be verified from the measurement of contact angle. It was shown that the averaged contact angle was over $140^{\circ}$.