• Title/Summary/Keyword: Down-scaling

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Power-Aware Scheduling for Mixed Real-Time Tasks (주기성과 산발성 태스크가 혼합된 시스템을 위한 전력절감 스케줄링 기법)

  • Gong, Min-Sik;Jeong, Gun-Jae;Song, Ye-Jin;Jung, Myoung-Jo;Cho, Moon-Haeng;Lee, Cheol-Hoon
    • The Journal of the Korea Contents Association
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    • v.7 no.1
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    • pp.83-93
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    • 2007
  • In this paper, we address a power-aware scheduling algorithm for a mixed real-time system which consists of periodic and sporadic tasks, each of which is characterized by its minimum period, worst-case execution requirement and deadline. We propose a dynamic voltage scaling algorithm called DVSMT(DVS for mixed tasks), which dynamically scales down the supplying voltage(and thus the frequency) using on-line distribution of the borrowed resources when jobs complete while still meeting their deadlines. With this scheme, we could reduce more energy consumption. As the proposed algorithm can be easily incorporated with RTOS(Real-Time Operating System), it is applicable for handhold devices and sensor network nodes that use a limited battery power. Simulation results show that DVSMT saves up 60% more than the existing algorithms both in the periodic-task and mixed-task systems.

Analysis of Transport Characteristics for Double Gate MOSFET using Analytical Current-Voltage Model (해석학적 전류-전압모델을 이용한 이중게이트 MOSFET의 전송특성분석)

  • Jung Hak-Kee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.9
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    • pp.1648-1653
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    • 2006
  • In this paper, transport characteristics have been investigated using analytical current-voltage model for double gate MOSFET(DGMOSFET). Scaling down to 100nm of gate length for MOSFET can bring about various problems such as a threshold voltage roll-off and increasing off current by tunneling since thickness of oxide is down by 1.fnm and doping concentration is increased. A current-voltage characteristics have been calculated according to changing of channel length,using analytical current-voltage relation. The analytical model has been verified by calculating I-V relation according to changing of oxide thickness and channel thickness as well as channel length. A current-voltage characteristics also have been compared and analyzed for operating temperature. When gate voltage is 2V, it is shown that a current-voltage characteristic in 77K is superior to in room temperature.

Signal-Based Fault Detection and Diagnosis on Electronic Packaging and Applications of Artificial Intelligence Techniques (시그널 기반 전자패키지 결함검출진단 기술과 인공지능의 응용)

  • Tae Yeob Kang;Taek-Soo Kim
    • Journal of the Microelectronics and Packaging Society
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    • v.30 no.1
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    • pp.30-41
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    • 2023
  • With the aggressive down-scaling of advanced integrated circuits (ICs), electronic packages have become the bottleneck of both reliability and performance of whole electronic systems. In order to resolve the reliability issues, Institute of Electrical and Electronics Engineers (IEEE) laid down a roadmap on fault detection and diagnosis (FDD), thrusting the digital twin: a combination of reliability physics and artificial intelligence (AI). In this paper, we especially review research works regarding the signal-based FDD approaches on the electronic packages. We also discuss the research trend of FDD utilizing AI techniques.

Rainfall Quantile Estimation Using Scaling Property in Korea (스케일 성질을 이용한 확률강우량의 추정)

  • Jung, Young-Hun;Kim, Soo-Young;Kim, Tae-Soon;Heo, Jun-Haeng
    • Journal of Korea Water Resources Association
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    • v.41 no.9
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    • pp.873-884
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    • 2008
  • In this study, rainfall quantile was estimated using scale invariance property of rainfall data with different durations and the applicability of such property was evaluated for the rainfall data of South Korea. For this purpose, maximum annual rainfall at 22 recording sites of Korea Meteorological Administration (KMA) having relatively long records were used to compare rainfall quantiles between at-site frequency analysis and scale invariance property. As the results, the absolute relative errors of rainfall quantiles between two methods show at most 10 % for hourly rainfall data. The estimated quantiles by scale invariance property can be generally applied in the 8 of 14 return periods used in this study. As an example of down-scaling method, rainfall quantiles of $10{\sim}50$ minutes duration were estimated by scale invariance property based on index duration of 1 hour. These results show less than 10 % of absolute relative errors except 10 minutes duration. It is found that scale invariance property can be applied to estimate rainfall quantile for unmeasured rainfall durations.

Assessing Water Quality of Siheung Stream in Shihwa Industrial Complex Using Both Principal Component Analysis and Multi-Dimensional Scaling Analysis of Korean Water Quality Index and Microbial Community Data (Principal Component Analysis와 Multi-Dimensional Scaling 분석을 이용한 시화공단 시흥천의 수질지표 및 미생물 군집 분포 연구)

  • Seo, Kyeong-Jin;Kim, Ju-Mi;Kim, Min-Jung;Kim, Seong-Keun;Lee, Ji-Eun;Kim, In-Young;Zoh, Kyung-Duk;Ko, Gwang-Pyo
    • Journal of Environmental Health Sciences
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    • v.35 no.6
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    • pp.517-525
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    • 2009
  • The water quality of Lake Shihwa had been rapidly deteriorating since 1994 due to wastewater input from the watersheds, limited water circulation and the lack of a wastewater treatment policy. In 2000, the government decided to open the tidal embankment and make a comprehensive management plan to improve the water quality, especially inflowing stream water around Shihwa and Banwol industrial complex. However, the water quality and microbial community have not as yet been fully evaluated. The purpose of this study is to investigate the influent water quality around the industrial area based on chemical and biological analysis, and collected surface water sample from the Siheung Stream, up-stream to down-stream through the industrial complex, Samples were collected in July 2009. The results show that the downstream site near the industrial complex had higher concentrations of heavy metals (Cu, Mn, Fe, Mg, and Zn) and organic matter than upstream sites. A combination of DGGE (Denaturing Gradient Gel Electrophoresis) gels, lists of K-WQI (Korean Water Quality Index), cluster analysis, MDS (Multi-Dimensional Scaling) and PCA (Principal Component Analysis) has demonstrated clear clustering between Siheung stream 3 and 4 and with a high similarity and detected metal reducing bacteria (Shewanella spp.) and biodegrading bacteria (Acinetobacter spp.). These results suggest that use of both chemical and microbiological marker would be useful to fully evaluate the water quality.

ALD of Nanometal Films and Applications for Nanoscale Devices

  • Kim, Hyung-Jun
    • Korean Journal of Crystallography
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    • v.16 no.2
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    • pp.89-101
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    • 2005
  • Among many material processing related issues for successful scaling down of devices for the next 10 years or so, the advanced gate stack and interconnect technology are two most critical research areas, which need technical innovation. The introduction of new metallic films and appropriate processing technologies are required more than ever. Especially, as the device downscaling continues well into sub 50 nm regime, the paradigm for metal nano film deposition technique research has been shifted to high conformality, low growth temperature, high quality with uniformity at large area wafers. Regarding these, ALD has sparked a lot of interests for a number of reasons. The process is intrinsically atomic in nature, resulting in the controlled deposition of films in sub-monolayer units with excellent conformality. In this paper, the overview on the current issues and the future trends in device processing technologies related to metal nano films as well as the R&D trends in these applications will be discussed. The focus will be on the applications for metal gate, capacitor electrode for DRAM, and diffusion barriers/seed layers for Cu interconnect technology.

3D image processing using laser slit beam and CCD camera (레이저 슬릿빔과 CCD 카메라를 이용한 3차원 영상인식)

  • 김동기;윤광의;강이석
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.40-43
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    • 1997
  • This paper presents a 3D object recognition method for generation of 3D environmental map or obstacle recognition of mobile robots. An active light source projects a stripe pattern of light onto the object surface, while the camera observes the projected pattern from its offset point. The system consists of a laser unit and a camera on a pan/tilt device. The line segment in 2D camera image implies an object surface plane. The scaling, filtering, edge extraction, object extraction and line thinning are used for the enhancement of the light stripe image. We can get faithful depth informations of the object surface from the line segment interpretation. The performance of the proposed method has demonstrated in detail through the experiments for varies type objects. Experimental results show that the method has a good position accuracy, effectively eliminates optical noises in the image, greatly reduces memory requirement, and also greatly cut down the image processing time for the 3D object recognition compared to the conventional object recognition.

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Structural Behavior of Concrete Pavement Due to Temperature Variations (온도변화에 의한 콘크리트 포장도로의 구조 거동 연구)

  • 조병완
    • Computational Structural Engineering
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    • v.4 no.2
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    • pp.95-102
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    • 1991
  • Some sections of concrete highway pavements have been viewed with great concern by highway officials and engineers due to the severe cracking and failure problems. This is mainly due to the traffic loads in addition to temperature variations between top and bottom of concrete slab, which cause the concrete slab to curl up and down depending on the thermal gradient, respectively. Subsequently, a major consideration was given to the derivation of stiffness matrix and equivalent nodal loads due to the uniform gravity load, temperature and shrinkage of concrete. And the structural behavior of concrete highway pavement due to the temperature variations throughout the nations has been emphasized.

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Implementing an Analysis System for Housing Business Based on Seoul Apartment Price Data (주택 사업 분석 시스템 구축 : 서울지역 아파트 가격 데이터를 중심으로)

  • 김태훈;이희석;김재윤;전진오;이은식
    • The Journal of Information Technology and Database
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    • v.6 no.2
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    • pp.115-130
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    • 1999
  • The price structure of housing market varies depending upon market price policy rather than low or high price policy because of IMF. The object of this study is to develop an analysis system for analyzing housing market and its demand. The analysis system consists of four major categories: macro index analysis, market decision analysis, housing market analysis, and consumer analysis. We model each category by using a variety of techniques such as generalized linear model, categorical analysis, bubble analysis, drill-down analysis, price sensitivity meter analysis, optimum price index analysis, profit index measurement analysis, correspondence analysis, conjoint analysis, and multidimensional scaling analysis. Seoul apartment data is analyzed to demonstrate the practical usefulness of the system.

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