• Title/Summary/Keyword: Micro-data

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Thermopiezoelectric Cantilever for Probe-Based Data Storage System

  • Jang, Seong-Soo;Jin, Won-Hyeog;Kim, Young-Sik;Cho, Il-Joo;Lee, Dae-Sung;Nam, Hyo-Jin;Bu, Jong. U.
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.6 no.4
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    • pp.293-298
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    • 2006
  • Thermopiezoelectric method, using poly silicon heater and a piezoelectric sensor, was proposed for writing and reading in a probe based data storage system. Resistively heated tip writes data bits while scanning over a polymer media and piezoelectric sensor reads data bits from the self-generated charges induced by the deflection of the cantilever. 34${\times}$34 array of thermopiezoelectric nitride cantilevers were fabricated by a single step wafer level transfer method. We analyzed the noise level of the charge amplifier and measured the noise signal. With the sensor and the charge amplifier 20mn of deflection could be detected at a frequency of 10KHz. Reading signal was obtained from the cantilever array and the sensitivity was calculated.

An Efficient Functional Analysis Method for Micro-array Data Using Gene Ontology

  • Hong, Dong-Wan;Lee, Jong-Keun;Park, Sung-Soo;Hong, Sang-Kyoon;Yoon, Jee-Hee
    • Journal of Information Processing Systems
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    • v.3 no.1
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    • pp.38-42
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    • 2007
  • Microarray data includes tens of thousands of gene expressions simultaneously, so it can be effectively used in identifying the phenotypes of diseases. However, the retrieval of functional information from a large corpus of gene expression data is still a time-consuming task. In this paper, we propose an efficient method for identifying functional categories of differentially expressed genes from a micro-array experiment by using Gene Ontology (GO). Our method is as follows: (1) The expression data set is first filtered to include only genes with mean expression values that differ by at least 3-fold between the two groups. (2) The genes are then ranked based on the t-statistics. The 100 most highly ranked genes are selected as informative genes. (3) The t-value of each informative gene is imposed as a score on the associated GO terms. High-scoring GO terms are then listed with their associated genes and represent the functional category information of the micro-array experiment. A system called HMDA (Hallym Micro-array Data analysis) is implemented on publicly available micro-array data sets and validated. Our results were also compared with the original analysis.

The Development of Micro NCT for Micro Blanking/Punching of Thin Plates (미세박판가공을 위한 마이크로 NCT 제작에 관한 연구)

  • 홍남표;신용승;최근형;김병희;장인배;김헌영;오수익
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.1084-1087
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    • 1997
  • In this paper, we developed the micro NCT system for punching the thin plates, which is driven is driven by the standalone type microprocessor. In order to adjust the alignment between the punch and die in-situ punching procedures, the non-contact type laser sensor for measuring the burr and micro-driving system for punching die with using the differential screw are developed. The height of burr in four directions in the punched hole of test specimen are measured, and the measured data are transferred to the personal computer by RS232C serial communication technology. In the personal computer, by using the graphic user interface type monitoring program and data handling procedures which includes the filtering algorithms, the direction and length of movement of the die position is decided and these data are transferred back to the microprocessor. The microprocessor drives the micro positioning stage based on these data. Even if this method is not a perfect solution for the in-situ alignment in micro punching, but this alignment methodology is accomplished in the same stage just after the punching that we hope to solve the alignment problem in the punching system based on this technology.

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A Study on the Development for Environment Monitoring System of Micro Data Center (마이크로 데이터센터의 환경 모니터링 시스템 개발 연구)

  • Lee, Kap Rai;Kim, Young Sik
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.355-360
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    • 2022
  • In this paper, we present design and developing method for EMS(environment monitoring system) of micro data center. This developing EMS monitors operating environment of micro data center and analyze sensing data through IoT(Internet of things) sensors in real time. Firstly we present configuration method of IoT sensing package and design method EMS hardware platform. Secondly we design data collector software for data collection of IoT sensor with different protocol and develop monitoring software of EMS. The data collector software consists of sensor collector module and collector manager module. Also we design EMS software which has micro service architecture structural style and component based business logic.

Design for 32-bit RISC Micro Controller (32-비트 RISC 마이크로 컨트롤러 설계)

  • 박성일;최병윤
    • Proceedings of the IEEK Conference
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    • 2003.07d
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    • pp.1395-1398
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    • 2003
  • This paper presents a 32-bit RISC Micro-Controller which is useful in the dedicated DSP and communication areas. The designed processor has 5 stages pipeline architecture, and 28 instructions. This RISC Micro-Controller consist of 22,100 gates and has 5.95 ns data arrival time, and 437 ㎽ total dynamic power. The RISC Micro-Controller is a IP (Intellectual property) Core module which can implement a number of protocols by and is applicable to DSP and data communication.

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3-D Surface Profile Measurement Using An Acousto-optic Tunable Filter Based Spectral Phase Shifting Technique

  • Kim, Dae-Suk;Cho, Yong-Jai
    • Journal of the Optical Society of Korea
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    • v.12 no.4
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    • pp.281-287
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    • 2008
  • An acousto-optic tunable filter based 3-D micro surface profile measurement using an equally spaced 5 spectral phase shifting is described. The 5-bucket spectral phase shifting method is compared with a Fourier-transform method in the spectral domain. It can provide a fast measurement capability while maintaining high accuracy since it needs only 5 pieces of spectrally phase shifted imaging data and a simple calculation in comparison with the Fourier transform method that requires full wavelength scanning data and relatively complicated computation. The 3-D profile data of micro objects can be obtained in a few seconds with an accuracy of ${\sim}10nm$. The 3-D profile method also has an inherent benefit in terms of being speckle-free in measuring diffuse micro objects by employing an incoherent light source. Those simplicity and practical applicability is expected to have diverse applications in 3-D micro profilometry such as semiconductors and micro-biology.

Investigations on aerosols transport over micro- and macro-scale settings of West Africa

  • Emetere, Moses Eterigho
    • Environmental Engineering Research
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    • v.22 no.1
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    • pp.75-86
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    • 2017
  • The aerosol content dynamics in a virtual system were investigated. The outcome was extended to monitor the mean concentration diffusion of aerosols in a predefined macro and micro scale. The data set used were wind data set from the automatic weather station; satellite data set from Total Ozone Mapping Spectrometer aerosol index and multi-angle imaging spectroradiometer; ground data set from Aerosol robotic network. The maximum speed of the macro scale (West Africa) was less than 4.4 m/s. This low speed enables the pollutants to acquire maximum range of about 15 km. The heterogeneous nature of aerosols layer in the West African atmosphere creates strange transport pattern caused by multiple refractivity. It is believed that the multiple refractive concepts inhibit aerosol optical depth data retrieval. It was also discovered that the build-up of the purported strange transport pattern with time has enormous potential to influence higher degrees of climatic change in the long term. Even when the African Easterly Jet drives the aerosols layer at about 10 m/s, the interacting layers of aerosols are compelled to mitigate its speed to about 4.2 m/s (macro scale level) and boost its speed to 30 m/s on the micro scale level. Mean concentration diffusion of aerosols was higher in the micro scale than the macro scale level. The minimum aerosol content dynamics for non-decaying, logarithmic decay and exponential decay particulates dispersion is given as 4, 1.4 and 0 respectively.

An Experimental study on R-22 Evaporation in Flat Aluminum Multi-Channel Tubes (알루미늄 다채널 평판관내 R-22 증발에 관한 실험적 연구)

  • Kim, Jung-Oh;Cho, Jin-Pyo;Kim, Jong-Won;Jeong, Ho-Jong;Kim, Nae-Hyun
    • Proceedings of the KSME Conference
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    • 2000.04b
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    • pp.96-103
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    • 2000
  • In this study, evaporation heat transfer tests were conducted in flat aluminum multi-channel tubes using R-22. Two internal geometries were tested ; one with smooth inner surface and the other with micro-fins. Data are presented for the following range of variables ; vapor quality $(0.1{\sim}0.9)$, mass flux$(100{\sim}600kg/m^2s)$ and heat flux$(5{\sim}15kW/m^2)$. The micro-tin tube showed higher heat transfer coefficients compared with those of the smooth tube. Results showed that, for the smooth tube, the effects of mass flux, quality and heat flux were not prominent, and existing correlations overpredicted the data. For the micro-fin tube at low quality, the heat transfer coefficient increased as heat flux increased. However, the trend was reversed at high quality Kandlikar's correlation predicted the low mass flux data, and Shah's correlation predicted the high mass flux data. The heat transfer coefficient of the micro fin tube was approximately two times larger than that of the plain tube. New correlation was developed based on present data.

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A Case Study on Mobile Information Systems for Foreign Tourists based on Micro Webpages (외국 관광객을 위한 마이크로웹페이지 기반 모바일 정보 시스템 사례)

  • Han, Sangsuk;So, Sun Sup;Eun, Seongbae
    • Journal of Information Technology Services
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    • v.15 no.1
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    • pp.289-298
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    • 2016
  • There are continuos tendencies toward that foreign tourists increase. Since 55% of them visit Korea without data communication for saving the communication costs, they can not utilize a variety of O2O services through QR/NFC/Beacon. There have been some researches to provide a smart map service based on the micro webpage technology even without data communication. But, they do not suggest how the templates are retrieved into their smart-phones. In this paper, we describe a mobile tourist information system for those who have no data communication. We utilize the micro webpage technology to develop a system for market promotion, shopping goods, and tourist maps. What matters in the micro webpage techniques is that the templates should be already downloaded to the users' smart phones before using it. The preceeded research did not mention the problem. We suggest a scheme that tourists obtain the tremplates in the information offices on the spot through Wi-Fi. We describe the details of the system, and evaluate the data overhead of templates and the time to be downloaded. We show that the overheads are endurable, which means that the system would be working well.

Classification Performance Analysis of Silicon Wafer Micro-Cracks Based on SVM (SVM 기반 실리콘 웨이퍼 마이크로크랙의 분류성능 분석)

  • Kim, Sang Yeon;Kim, Gyung Bum
    • Journal of the Korean Society for Precision Engineering
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    • v.33 no.9
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    • pp.715-721
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    • 2016
  • In this paper, the classification rate of micro-cracks in silicon wafers was improved using a SVM. In case I, we investigated how feature data of micro-cracks and SVM parameters affect a classification rate. As a result, weighting vector and bias did not affect the classification rate, which was improved in case of high cost and sigmoid kernel function. Case II was performed using a more high quality image than that in case I. It was identified that learning data and input data had a large effect on the classification rate. Finally, images from cases I and II and another illumination system were used in case III. In spite of different condition images, good classification rates was achieved. Critical points for micro-crack classification improvement are SVM parameters, kernel function, clustered feature data, and experimental conditions. In the future, excellent results could be obtained through SVM parameter tuning and clustered feature data.