• Title/Summary/Keyword: 데이터기반연구

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The Assessment Guideline of the Simplified Test Maturity Model (TMM) for An Assessor (심사원을 위한 경량화 테스트 성숙도 모델을 위한 평가 가이드 연구)

  • Jang, Woo Sung;Kim, Ki Du;Son, Hyun Seung;Park, Bo Kyung;Kim, R. Young Chul
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.8
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    • pp.379-384
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    • 2017
  • In real software business environment, there are required to validate software quality in diverse usage range of software for many small & medium companies. Software quality means both qualities of production and process. In our situation, we focus on better process quality of a test organization than a whole organization. But even the original test maturity model (TMM) does not enough to apply with our domestic venture/small & medium companies. To solve this problem, we suggest the simplified test maturity model for our companies. We redefine this simplified model with the original TMM and a test process improvement next (TPI next) model. The previous models just have provided each definition of maturity level, goal and activity per each level, which not exists an assessment guideline and a formal assessing procedure. Due to this reasons, an assessor is difficult to assess the test organization without them. this paper suggest an assessment guideline of the simplified TMM and also define the procedure which is included with activities and byproducts. With these assessment guideline, an assessor can work possible to formally assess test organizations of small & medium companies, and with self assessment guideline they can be correctly provision before assessment of their organizations.

Design of Low Voltage 1.8V, Wide Range 50∼500MHz Delay Locked Loop for DDR SDRAM (DDR SDRAM을 위한 저전압 1.8V 광대역 50∼500MHz Delay Locked Loop의 설계)

  • Koo, In-Jae;Chung, Kang-Min
    • The KIPS Transactions:PartA
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    • v.10A no.3
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    • pp.247-254
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    • 2003
  • This paper describes a Delay Locked Loop (DLL) with low supply voltage and wide lock range for Synchronous DRAM which employs Double Data Rate (DDR) technique for faster data transmission. To obtain high resolution and fast lock-on time, a new type of phase detector is designed. The new counter and lock indicator structure are suggested based on the Dual-clock dual-data Flip Flop (DCDD FF). The DCDD FF reduces the size of counter and lock indicator by about 70%. The delay line is composed of coarse and fine units. By the use of fast phase detector, the coarse delay line can detect minute phase difference of 0.2 nsec and below. Aided further by the new type of 3-step vernier fine delay line, this DLL circuit achieves unprecedented timing resolution of 25psec. This DLL spans wide locking range from 500MHz to 500MHz and generates high-speed clocks with fast lock-on time of less than 5 clocks. When designed using 0.25 um CMOS technology with 1.8V supply voltage, the circuit consumes 32mA at 500MHz locked condition. This circuit can be also used for other applications as well, such as synchronization of high frequency communication systems.

Effect of Detector-Misalignment on TOF-PET Detector Performance (검출기 정렬 오차가 TOF-PET 검출기의 성능에 미치는 영향성 평가)

  • Yang, Jingyu;Kang, Jihoon
    • Journal of the Korean Society of Radiology
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    • v.13 no.6
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    • pp.841-846
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    • 2019
  • Effect of misalignment on the performance was evaluated for the development of time-of-flight(TOF)-PET detector. A pair of TOF-PET detector consists of Lutetium-yttrium oxyorthosilicate(LYSO) scintillation crystal with a volume of 3 mm × 3 mm × 20 mm and Geiger-mode avalanche photodiodes(GAPD) photo-sensor with a active area of 3.07 mm × 3.07 mm. Analog output signals from TOF-PET detector were sent to the pre-amplifier and then fed into the gain adjust circuit for achievement of gain homogeneity for each detector. The amplified signals were recorded and digitized by data acquisition system based on oscilloscope. The effect of the detector misalignment between LYSO and GAPD was examined for four different alignment offsets of 0.0 mm, 0.5 mm, 1.0 mm and 1.5 mm for a pair of TOF-PET detector. The photopeak position decreased from ~400 mV to ~250 mV with increasing detector misalignment. the energy resolution and time resolution were degraded from 11.6% to 16.2%, and from 477 ps to 632 ps, respectively. This study demonstrated that PET detector performance was degraded considerably depending on the detector misalignment, which would be a critical issue for the development of TOF-PET detector.

Characterization of a Drought-Tolerance Gene, BrDSR, in Chinese Cabbage (배추의 건조 저항성 유전자, BrDSR의 기능 검정)

  • Yu, Jae-Gyeong;Lee, Gi-Ho;Park, Young-Doo
    • Horticultural Science & Technology
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    • v.34 no.1
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    • pp.102-111
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    • 2016
  • The goal of this study was to characterize the BrDSR (Drought Stress Resistance in B. rapa) gene and to identify the expression network of drought-inducible genes in Chinese cabbage under drought stress. Agrobacterium-mediated transformation was conducted using a B. rapa inbred line ('CT001') and the pSL100 vector containing the BrDSR full length CDS (438 bp open reading frame). Four transgenic plants were selected by PCR and the expression level of BrDSR was approximately 1.9-3.4-fold greater than that in the wild-type control under drought stress. Phenotypic characteristics showed that BrDSR over-expressing plants were resistant to drought stress and showed normal growth habit. To construct a co-expression network of drought-responsive genes, B. rapa 135K cDNA microarray data was analyzed to identify genes associated with BrDSR. BrDSR was directly linked to DARK INDUCIBLE 2 (DIN2, AT3G60140) and AUTOPHAGY 8H (ATG8H, AT3G06420) previously reported to be leaf senescence and autophagy-related genes in plants. Taken together, the results of this study indicated that BrDSR plays a significant role in enhancement of tolerance to drought conditions.

Link-layer Assisted Seamless Media Streaming over Mobile IP-enabled Wireless LAN (Mobile IP 지원 무선 랜 상에서 링크 계층의 지원을 통한 연속적인 미디어 스트리밍)

  • Lee, Chul-Ho;Lee, Dong-Wook;Kim, Jong-Won
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.9
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    • pp.626-636
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    • 2009
  • In Mobile IP-enabled wireless LAN (WLAN), packet flows are corrupted due to the handoff of a mobile node (MN) at the link and network layers, which results in burst packet losses and can cause temporary buffer underflow in a streaming client at the MN. This transient behavior hurts time-sensitive streaming media applications severely. Among many suggestions to address this handoff problem, few studies are concerned with empirical issues regarding the practical validation of handoff options on the time-sensitive streaming media applications. In this paper, targeting seamless streaming over Mobile IP-enabled WLAN, we introduce a seamless media streaming framework that estimates accurate pre-buffering level to compensate the handoff latency. In addition, we propose a link-layer (L2) assisted seamless media streaming system as a preliminary version of this framework. The proposed system is designed to reduce the handoff latency and to overcome the playback disruption from an implementation viewpoint. A packet buffering and forwarding mechanism with L2 trigger is implemented to reduce the handoff latency and to eliminate burst packet losses generated during the handoff. A pre-buffering adjustment is also performed to compensate the handoff latency. The experimental results show that the proposed approach eliminates packet losses during the handoff and thus verify the feasibility of seamless media streaming over Mobile IP-enabled WLAN.

The Determinants of Labor Market Outcomes in Four-year graduates through Principal Component Analysis and Correspondence Analysis By training institution (대응일치분석을 이용한 4년제 대학졸업자들의 취업훈련기관별 노동시장 성과에 영향을 미치는 요인)

  • Chae, Hee Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.4
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    • pp.235-241
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    • 2017
  • This study investigated the performance factors for entry into the labor market of 4 - year college graduates using KEEP data and to determine how the labor market performance is related to the training institutions. The labor market performance is termed as 1) labor market entry time, 2) employment type, and 3) wage. Correspondence analysis was carried out with a nominal variable indicating the characteristics of a training institute, in which the respondents were trained for employment, and the relationship between the two was expressed in a more visible way. First, as a result of analyzing the first job transition period, the shortest training institutes were analyzed as public institutes, followed by private institutes and universities. Second, the employment rate of the public institutions is higher than that of private institutes and universities. Second, the employment rate of public institutions is higher than that of private institutes and universities. Third, the wage level of public institutes ranged from wage level 1 to 3, while private institutes had a wage level ranging from 2 to 4. Universities showed a wide range from 1 to 5. Based on these results, this study can analyze the difference in the labor market performance by training institutions when young people enter society.

Improvement of Altitude Measurement Algorithm Based on Accelerometer for Holding Drone's Altitude (드론의 고도 유지를 위한 가속도센서 기반 고도 측정 알고리즘 개선)

  • Kim, Deok Yeop;Yun, Bo Ram;Lee, Sunghee;Lee, Woo Jin
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.10
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    • pp.473-478
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    • 2017
  • Drones require altitude holding in order to achieve flight objectives. The altitude holding of the drone is to repeat the operation of raising or lowering the drone according to the altitude information being measured in real-time. When the drones are maintained altitude, the drone's altitude will continue to change due to external factors such as imbalance in thrust due to difference in motor speed or wind. Therefore, in order to maintain the altitude of drone, we have to exactly measure the continuously changing altitude of the drone. Generally, the acceleration sensor is used for measuring the height of the drones. In this method, there is a problem that the measured value due to the integration error accumulates, and the drone's vibration is recognized by the altitude change. To solve the difficulty of the altitude measurement, commercial drones and existing studies are used for altitude measurement together with acceleration sensors by adding other sensors. However, most of the additional sensors have a limitation on the measurement distance and when the sensors are used together, the calculation processing of the sensor values increases and the altitude measurement speed is delayed. Therefore, it is necessary to accurately measure the altitude of the drone without considering additional sensors or devices. In this paper, we propose a measurement algorithm that improves general altitude measurement method using acceleration sensor and show that accuracy of altitude holding and altitude measurement is improved as a result of applying this algorithm.

Principal Component analysis based Ambulatory monitoring of elderly (주성분 분석 기반의 노약자 응급 모니터링)

  • Sharma, Annapurna;Lee, Hoon-Jae;Chung, Wan-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.11
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    • pp.2105-2110
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    • 2008
  • Embedding the compact wearable units to monitor the health status of a person has been analysed as a convenient solution for the home health care. This paper presents a method to detect fall from the other activities of daily living and also to classify those activities. This kind of ambulatory monitoring of the elderly and people with limited mobility can not only provide their general health status but also alarms whenever an emergency such as fall or gait has been occurred and a help is needed. A timely assistance in such a situation can reduce the loss of life. This work shows a detailed analysis of the data received from a chest worn sensor unit embedding a 3-axis accelerometer and depicts which features are important for the classification of human activities. How to arrange and reduce the features to a new feature set so that it can be classified using a simple classifier and also improving the classification resolution. Principal component analysis (PCA) has been used for modifying the feature set and afterwards for reducing the size of the same. Finally a Neural network classifier has been used to analyse the classification accuracies. The accuracy for detection of fall events was found to be 86%. The overall accuracy for the classification of Activities or daily living (ADL) and fall was around 94%.

Evaluation on machining accuracy according to convergence angle and radius of curvature value used for fabricating custom abutments (맞춤형 지대주 제작에 사용되는 수렴 각과 곡률 반경의 값에 따른 가공 정확도 평가)

  • Hong, Min-Ho;Choi, Sung-Min;Kwon, Tae-Yub
    • Korean Journal of Dental Materials
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    • v.44 no.4
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    • pp.329-336
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    • 2017
  • This study evaluates the machining accuracy of the custom abutment design according to the selected convergence angle and radius of curvature value in the CAD program. Ten custom abutments were designed based on dental CAD. And then, the fabricated custom abutment was scanned ten times using a contact scanner. The data of the scanned custom abutment was saved as "Test STL" file. The Geomagic studio software was used to superposition each exported as an "Test STL" file with the CAD-reference-model STL file (CRM) specified by the same name. In the experimental results, the A8 group (convergence angle $8^{\circ}$) showed lower error than the A4 group (convergence angle $4^{\circ}$) . In addition, the higher the radius of curvature, the less error in the top and chamfer regions of the custom abutment (p< 0.05). Overall, the convergence angle and radius of curvature value in the custom abutment design were found to affect the machining accuracy.

A Study on Web Mining System for Real-Time Monitoring of Opinion Information Based on Web 2.0 (의견정보 모니터링을 위한 웹 마이닝 시스템에 관한 연구)

  • Joo, Hae-Jong;Hong, Bong-Hwa;Jeong, Bok-Cheol
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.1
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    • pp.149-157
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    • 2010
  • As the use of the Internet has recently increased, the demand for opinion information posted on the Internet has grown. However, such resources only exist on the website. People who want to search for information on the Internet find it inconvenient to visit each website. This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposed technologies proved to have outstanding capabilities in comparison to existing ones through tests. The capabilities to extract positive and negative opinion information were assessed. Specifically, test movie review sentence testing data was tested and its results were analyzed.