• Title/Summary/Keyword: Class101

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Robust Design of a Discrete System Using Taguchi's Standard Signal-to-Noise Ratio (다구치의 표준 SN비를 이용한 이산형 시스템의 로버스트설계)

  • Kim, Seong-Jun
    • Journal of Korean Society for Quality Management
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    • v.27 no.2
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    • pp.101-111
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    • 1999
  • The purpose of Taguchi's robust design lies in quality improvement by making the performance of a system robust against noise. Robust design with continuous performance characteristics has been the subject of much interest. However relatively little work has been done for discrete characteristics such as 0-1, good-medium-bad, etc. This paper is concerned with robust design of a discrete dynamic system. We first investigate the Taguchi method for robust design with discrete dynamic characteristics and discuss his standard error probability (SEP). Then we propose a generalized SEP, which makes it possible to encompass a wider class of robust design problems. An illustration is also given by example.

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Temperature Characteristics of High Speed Angular Contact Ball Bearing (고속 앵귤러 컨택트 볼 베어링의 온도특성)

  • Hyeon, Jun-Su;Park, Tae-Jo
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.2
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    • pp.96-101
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    • 2001
  • This paper shows the temperature characteristics of a high speed angular contact ball gearing which is 7004C type with ISO P2 tolerance class. A built-in motor type high speed spindle which adopts an oil-air lubrication system was used to measure the temperature rise up to 60,000rpm. The gearing temperature was measured using thermocouples that were attached to the outside surfaces of the outer rings. The result showed that the continuous test method which was suggested in this paper is more effective than on and off method and the lubrication oil supply rate should be reduced in high speed rolling bearings as long as the seizure does not occur. And the result were confirmed that the bearings packed with ceramic balls are superior to those with steel balls in temperature characteristics.

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Small Non-coding Transfer RNA-Derived RNA Fragments (tRFs): Their Biogenesis, Function and Implication in Human Diseases

  • Fu, Yu;Lee, Inhan;Lee, Yong Sun;Bao, Xiaoyong
    • Genomics & Informatics
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    • v.13 no.4
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    • pp.94-101
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    • 2015
  • tRNA-derived RNA fragments (tRFs) are an emerging class of non-coding RNAs (ncRNAs). A growing number of reports have shown that tRFs are not random degradation products but are functional ncRNAs made of specific tRNA cleavage. They play regulatory roles in several biological contexts such as cancer, innate immunity, stress responses, and neurological disorders. In this review, we summarize the biogenesis and functions of tRFs.

Segmentation of Indoor Location using Multiple Beacon (다중 비콘을 사용한 실내 공간 세그멘테이션)

  • Choi, Yoona;Kim, Dahee;Kim, Jinseong;Kim, Hakjae
    • Annual Conference of KIPS
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    • 2017.11a
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    • pp.99-101
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    • 2017
  • 최근, 실내 환경에서 위치기반 서비스 응용에 대한 수요가 늘어남에 따라 비콘, 지자기, Wi-Fi 등을 사용한 실내측위 관련 연구가 활발히 연구되고 있다. 특히, BLE 비콘을 사용한 실내측위는 시스템 설치 및 유지보수의 용의성, 낮은 소비전력, 낮은 가격 등의 특징을 가지고 있으며, 이에 다양한 상용 실내측위 응용 분야에서 조명 받고 있다. 일반적으로, BLE 비콘 기반 실내측위는 단일 BLE 비콘과 해당 비콘의 전파 범위에 위치하는 단말기 사이의 송수신 전파의 세기 정보를 이용하여 절대 거리를 계산한다. 그러나, 기존 연구 방법으로는 BLE 비콘의 종류, 설치 환경에 따른 전파 감쇄 및 반사 등의 문제로 정확한 거리를 측정할 수 없다. 본 논문에서는 다중 비콘을 사용하여 각 비콘으로부터 얻은 수신세기 차이를 이용한 실내 공간 세그멘테이션 방법을 제안한다. 본 논문에서 제안한 방법으로 실험을 진행하였으며, 그 결과 임의로 설정한 $4m{\times}4m$ 정사각형 영역에서 내부와 외부를 구분할 수 있었다.

Seismic Object Performance Evaluation of Braced Steel Moment Resisting Frames with Low Rise Building under Different Site Stiffness (지반강성을 고려한 중저층 가새모멘트저항골조의 내진 목표성능평가)

  • Kim, Soo Jung;Choi, Byong Jeong;Park, Ho Young;Lee, Jinwoo
    • Journal of the Earthquake Engineering Society of Korea
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    • v.20 no.2
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    • pp.91-101
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    • 2016
  • This study is the compared seismic performance that are difference between the performance of structures on various site classes and beam-column connection. this analysis model was designed the previous earthquake load. To compare the performance levels of the structure was subjected to nonlinear static and nonlinear dynamic analysis. Nonlinear analysis was used to The Perform 3D program. Nonlinear static analysis was compared with the performance point and Nonlinear dynamic analysis was compared the drift ratio(%). Analysis results, the soft site class of the displacement was more increase than rock site classes of the displacement. Also The smaller the displacement was increased beam-column connection stiffness.

Dielectric Barrier Discharge for Ultraviolet Light Generation and Its Efficient Driving Inverter Circuit

  • Oleg, Kudryavtsev;Ahmed, Tarek;Nakaoka, Mutsuo
    • KIEE International Transactions on Electrophysics and Applications
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    • v.4C no.3
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    • pp.101-105
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    • 2004
  • The efficient power MOSFET inverter applied for a simple and low cost power supply is proposed for driving the dielectric barrier discharge (DBD) lamp load. For decades, the DBD phenomenon has been used for ozone gas production in industry. In this research, the ultraviolet and visible light sources utilizing the DBD lamp is considered as the load for solid-state high frequency power supply. It is found that the simple voltage-source single-ended quasi-resonant ZVS inverter with only one active power switch could effectively drive this load with the output power up to 700 W. The pulse density modulation based control scheme for the single-ended quasi-resonant ZVS inverter using a low voltage and high current power MOSFET switching device is proposed to provide a linear power regulation characteristic in the wide range 0-100% of the full power as compared with the conventional control based Royer type parallel resonant inverter type power supplies.

The development of high efficiency isolated converter for vehicle charger (차량 충전용 고효율 절연형 컨버터 개발)

  • Park, Minjun;Jin, Hoshang;Lee, Gunhee;Hwang, Kwangkyu;Kim, Woosup;Lee, Jaeho
    • Proceedings of the KIPE Conference
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    • 2015.07a
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    • pp.101-102
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    • 2015
  • This paper is about the suggestion for the development in the commercialization for 3.6kW Class On-Board charger. It is suggesting non-insulation AC-DC Boost Power Factor correction circuit and insulation DC-DC resonant Converter for circuit design. In addition, Input AC voltage in the power supply is DCM control which can be designed to decrease the inductance for the inductor size to be reduced. DCM controls and Interleaved PFC can be designed to decrease the inductor size increasing the power conversions. Also, using the insulation DC-DC resonant converter, the efficiency can be increased. This system is verified using prototype hardware.

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Implementation of a Power Amplifier in Underwater Communication System (수중 통신용 전력증폭기의 구현)

  • Lee, Chang-Yeol;Shim, Jae-Hyeok;Kim, In-Dong;Nho, Eui-Cheol;Moon, Won-Kyu;Kim, Won-Ho
    • Proceedings of the KIPE Conference
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    • 2012.07a
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    • pp.101-102
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    • 2012
  • 수중에서는 대기와 달리 매질의 차이로 인하여 통신의 제약이 따르므로 초음파를 이용하여 정보를 송 수신한다. 수중통신을 하기 위해서는 신호를 증폭시키는 전력증폭기와 증폭된 전기 신호를 초음파로 변환시키는 트랜스듀서가 필요하다. 전력증폭기는 선형적인 출력이 보장되어야 하며, 수중에서의 발열과 연료문제로 인하여 높은 효율로 동작하여야 한다. 하지만 기존의 전력증폭기는 인가되는 고정전압과 출력전압의 차이로 인해 손실이 발생하여 효율이 저하된다. 본 논문에서는 수중 통신에 적합한 특성을 가진 APEX사의 Class B push-pull 타입의 MP108A증폭기를 사용하여 선형적인 출력 특성을 보장하며 넓은 대역폭을 갖는 전력증폭기를 구현하고, 실험을 통해 특성을 확인하였다.

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Multi-Class Classification Framework for Brain Tumor MR Image Classification by Using Deep CNN with Grid-Search Hyper Parameter Optimization Algorithm

  • Mukkapati, Naveen;Anbarasi, MS
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.101-110
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    • 2022
  • Histopathological analysis of biopsy specimens is still used for diagnosis and classifying the brain tumors today. The available procedures are intrusive, time consuming, and inclined to human error. To overcome these disadvantages, need of implementing a fully automated deep learning-based model to classify brain tumor into multiple classes. The proposed CNN model with an accuracy of 92.98 % for categorizing tumors into five classes such as normal tumor, glioma tumor, meningioma tumor, pituitary tumor, and metastatic tumor. Using the grid search optimization approach, all of the critical hyper parameters of suggested CNN framework were instantly assigned. Alex Net, Inception v3, Res Net -50, VGG -16, and Google - Net are all examples of cutting-edge CNN models that are compared to the suggested CNN model. Using huge, publicly available clinical datasets, satisfactory classification results were produced. Physicians and radiologists can use the suggested CNN model to confirm their first screening for brain tumor Multi-classification.

CARIES PREVALENCE AND OCCLUSAL VARIATION OF CHILDREN WITH DECIDUOUS DENTITION IN CHONNAM SEASHORE AREA (전남 해안지역 유치열기 아동의 치아우식 및 교합양상에 관한 연구)

  • Jung, Sung-Ho;Yang, Kyu-Ho;Choi, Nam-Ki;Kim, Seon-Mi;Lim, Hoi-Jeong
    • Journal of the korean academy of Pediatric Dentistry
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    • v.35 no.1
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    • pp.92-101
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    • 2008
  • The purpose of this study was to investigate the dental caries prevalence and occlusion pattern of children with deciduous dentition in Chonnam seashore area. Two thousand two hundred seventy two kindergarten children ranged 3 to 5 years of age were examined. The obtained results were as follows : 1. The rate of children with caries experience(dmf rate) in deciduous teeth was 66.8% at 3 years of age, 77.7% at 4 years of age, and 83.5% at 5 years of age and showed no significant gender differences(p>0.05). 2. The mean number of decayed, missing, filled deciduous teeth(dmft index) was 3.62 at 3 years of age, 4.73 at 4 years of age, and 5.96 at 5 years of age and showed no significant gender differences(p>0.05). 3. Most of the caries-prevailed tooth was mandibular 2nd primary molar and showed 39.48% at 3 years of age, 49.73% at 4 years of age, and 63.85% at 5 years of age. 4. The caries-experienced teeth in order were as follows : mandibular 2nd primary molar with 52.34%, mandibular 1st primary molar with 45.61%, maxillary 2nd primary molar with 38.81%, and maxillary primary central incisor with 38.86%, respectively. 5. In sagittal primary molar relationship, Class 1 occlusion pattern was 53.26%, Class 2 pattern was 1.41% and Class 3 pattern was 30.02%, respectively. Right Class 2 and Left Class 3 pattern was not observed.

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