• Title/Summary/Keyword: Edge area

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Energy-Aware Data-Preprocessing Scheme for Efficient Audio Deep Learning in Solar-Powered IoT Edge Computing Environments (태양 에너지 수집형 IoT 엣지 컴퓨팅 환경에서 효율적인 오디오 딥러닝을 위한 에너지 적응형 데이터 전처리 기법)

  • Yeontae Yoo;Dong Kun Noh
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.4
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    • pp.159-164
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    • 2023
  • Solar energy harvesting IoT devices prioritize maximizing the utilization of collected energy due to the periodic recharging nature of solar energy, rather than minimizing energy consumption. Meanwhile, research on edge AI, which performs machine learning near the data source instead of the cloud, is actively conducted for reasons such as data confidentiality and privacy, response time, and cost. One such research area involves performing various audio AI applications using audio data collected from multiple IoT devices in an IoT edge computing environment. However, in most studies, IoT devices only perform sensing data transmission to the edge server, and all processes, including data preprocessing, are performed on the edge server. In this case, it not only leads to overload issues on the edge server but also causes network congestion by transmitting unnecessary data for learning. On the other way, if data preprocessing is delegated to each IoT device to address this issue, it leads to another problem of increased blackout time due to energy shortages in the devices. In this paper, we aim to alleviate the problem of increased blackout time in devices while mitigating issues in server-centric edge AI environments by determining where the data preprocessed based on the energy state of each IoT device. In the proposed method, IoT devices only perform the preprocessing process, which includes sound discrimination and noise removal, and transmit to the server if there is more energy available than the energy threshold required for the basic operation of the device.

Role of an edge ring in plasma processing systems for semiconductor wafers (반도체용 플라즈마 장치에서 edge ring의 역할)

  • Ju, Jeong-Hun
    • Proceedings of the Korean Institute of Surface Engineering Conference
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    • 2017.05a
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    • pp.71-71
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    • 2017
  • 플라즈마를 이용하는 건식 식각 또는 박막 증착 장비(PECVD)의 경우 웨이퍼에 rf bias를 인가하여 이온의 에너지와 입사각을 조절한다. 종래에는 웨이퍼의 가장 자리 3 mm영역을 공정 대상에서 제외하는 exclusion area로 지정하였으나 점차 공정 기술의 발달로 2 mm 이내로 감소하고 있다. 따라서 웨이퍼의 가장 자리에서 발생하는 전기장의 방향 및 크기 변화를 조절할 수 있는 기술의 개발이 필요하게 되었으며 그중 핵심적인 부품이 Si 또는 SiC로 제작되는 edge ring이다. Focus ring이라고도 불리는 이 부품은 웨이퍼 상에서 반경 방향으로 흐르는 가스의 유속이 가장 자리에 근접하면 빨라지는 현상과 이에 의해 식각/증착 화학 반응 속도가 증가하는 문제를 완화하기 위한 것과 적절한 전기 전도도를 부여함으로써 가장 자리의 전기장 분포를 최적화 할 수 있는 새로운 설계 변수로 활용할 수 있다. 스퍼터링의 경우에도 웨이퍼 중앙과 주변 부는 마그네트론 음극의 회전 링과의 입체각이 차이가 나므로 가장 자리의 경우 트렌치나 홀의 내측이 외측에 비해서 증착막의 두께가 얇아지는 문제가 있으며 건식 식각의 경우 홀의 형상이 수직에서 벗어나는 경향이 발생할 수 있다. 또한 사용 시간에 비례해서 edge ring의 형상이 변화하는데 상대적으로 고가품이어서 교체 주기를 설정하는 보다 합리적 기준이 필요하다. 본 연구에서는 전산 유체 역학 모델을 사용하는 ESI사의 CFD-ACE+를 활용하여 edge ring의 형상과 재질이 갖는 영향을 전산 모사하기 위한 기초 작업을 그림 1과 같이 진행하였다. 2D-CCP model에 Ar 가스를 가정하고 비유 전율 10내외 전도도 $0.1/Ohm{\cdot}m$정도의 재질에 대한 용량성 결합 플라즈마에 대해서 계산을 하고 이 때 기판에 인가되는 고주파 전력에 의한 이온의 입사 에너지 분포 및 각도 분포를 Monte Carlo 방법으로 처리하여 계산하였다.

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Moving Object Detection with Rotating Camera Based on Edge Segment Matching (이동카메라 환경에서의 에지 세그먼트 정합을 통한 이동물체 검출)

  • Lee, June-Hyung;Chae, Ok-Sam
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.6
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    • pp.1-12
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    • 2008
  • This paper presents automatic moving object detection method using the rotating camera covering larger area with a single camera. The proposed method is based on the edge segment matching which robust to the dynamic environment with illumination change and background movement. The proposed algorithm presents an edge segment based background panorama image generation method minimizing the distortion due to image stitching, the background image generation method using Generalized Hough Transformation which can reliably register the current image to the panorama image overcoming the stitching distortions, the moving edge segment extraction method that overcome viewpoint difference and distortion. The experimental results show that the proposed method can detect correctly moving object under illumination change and camera vibration.

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Influence of DI Water Pressure and Purified $N_2$Gas on the Inter Level Dielectric-Chemical Mechanical Polishing Process (탈이온수의 압력과 정제된 $N_2$가스가 ILD-CMP 공정에 미치는 영향)

  • 김상용;이우선;서용진;김창일;장의구
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.13 no.10
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    • pp.812-816
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    • 2000
  • It is very important to understand the correlation of between inter dielectric(ILD) CMP process and various facility factors supplied to equipment to equipment system. In this paper, the correlation between the various facility factors supplied to CMP equipment system and ILD-CMP process was studied. To prevent the partial over-polishing(edge hot-spot) generated in the wafer edge area during polishing, we analyze various facilities supplied at supply system. With facility shortage of D.I water(DIW) pressure, we introduced an adding purified $N_2$(P$N_2$)gas in polishing head cleaning station for increasing a cleaning effect. DIW pressure and P$N_2$gas factors were not related with removal rate, but edge hot-spot of patterned wafer had a serious relation. We estimated two factors (DIW pressure and P$N_2$gas) for the improvement of CMP process. Especially, we obtained a uniform planarity in patterned wafer and prohibited more than 90% wafer edge over-polishing. In this study, we acknowledged that facility factors supplied to equipment system played an important role in ILD-CMP process.

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A New Image Enhancement Algorithm Based on Bidirectional Diffusion

  • Wang, Zhonghua;Huang, Xiaoming;Huang, Faliang
    • Journal of Information Processing Systems
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    • v.16 no.1
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    • pp.49-60
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    • 2020
  • To solve the edge ringing or block effect caused by the partial differential diffusion in image enhancement domain, a new image enhancement algorithm based on bidirectional diffusion, which smooths the flat region or isolated noise region and sharpens the edge region in different types of defect images on aviation composites, is presented. Taking the image pixel's neighborhood intensity and spatial characteristics as the attribute descriptor, the presented bidirectional diffusion model adaptively chooses different diffusion criteria in different defect image regions, which are elaborated are as follows. The forward diffusion is adopted to denoise along the pixel's gradient direction and edge direction in the pixel's smoothing area while the backward diffusion is used to sharpen along the pixel's gradient direction and the forward diffusion is used to smooth along the pixel's edge direction in the pixel's edge region. The comparison experiments were implemented in the delamination, inclusion, channel, shrinkage, blowhole and crack defect images, and the comparison results indicate that our algorithm not only preserves the image feature better but also improves the image contrast more obviously.

Hough Transform Using Straight Line Information of Edge Pixels (에지 화소들의 직선 정보를 이용한 허프변환)

  • Kim, Jin-tae;Oh, Jeong-su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.674-677
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    • 2017
  • The Hough transform is the most representative algorithm for a straight line detection based on edge pixels. It shows excellent performance in a simple linear image but requires a considerable amount of computation in a noisy or complex image and has a problem of detecting a pseudo straight line easily. In this paper, we propose a straight line detection algorithm to solve the problem of the conventional Hough transform. The proposed algorithm detects the straight line information of edge pixels by using principal component analysis (PCA) before performing Hough transform and performs the Hough transform of the limited slope area in the valid edge pixels based on the detected straight line information of edge pixels. Simulation results show that the proposed algorithm reduces the amount of computation as well as eliminates pseudo straight lines.

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A Study on Edge Detection using Grey-Level Morphology (그레이 레벨 모폴로지를 이용한 에지 검출에 관한 연구)

  • Lee, Chang-Young;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.687-690
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    • 2017
  • Edge detection is an important step in determining the performance of lane recognition, object and pattern detection, and so on. And much research has been done until now. Sobel, Prewitt, Roberts, and Canny edge detection algorithms are widely known. However, these algorithms are often judged to be a non-edge region when processing a smooth change in brightness value. Therefore, in this paper, edge detection algorithm using gray-level morphology using erosion, expansion, open and close in the mask area. is proposed.

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Detail relation of negative ion density with positive ion mass and sheath parameters

  • Kim, Hye-Ran;Woo, Hyun-Jong;Sun, Jong-Ho;Chung, Kyu-Sun
    • Proceedings of the Korean Vacuum Society Conference
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    • 2010.02a
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    • pp.470-470
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    • 2010
  • Negative ions are generated in fusion edge plasmas, material processing plasmas, ionospheric plasmas. Analytic formulas for the deduction of the absolute density of negative ions was given by using the current-voltage(IV) characteristics of two electric probes at two different pressures [1], and negative ion density has been measured by one electric probe using the current-voltage characteristics of three different pressures [2]. Ratios of ion and electron saturation currents and electron temperatures and sheath areas of different pressures are usually incorporated into two equations with two unknowns for the negative ion density. In the previous publications, the sheath factor(sheath area, sheath density, sheath velocity) and effective masses of background ions with different pressures are qualitatively incorporated for the deduction of negative density. In this presentation, the quantitative and detailed relation of negative ion density with sheath factor and effective masses are going to be given. The effect of these parameters on the change of IV characteristics will be addressed.

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A Study on the Sound Absorption Coefficient by Varying Sample Size (시편의 크기에 따른 흡음계수 변화 연구)

  • 정성수;이우섭;조문재;서상준
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.11 no.5
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    • pp.83-88
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    • 2001
  • The sound absorption coefficient of glass wool (bulk density of 48 kg/m:1 and 32 kg/m7) was measured by reverberation room method as varying their cross-sectional area. The results show that the absorption is larger for smaller samples because of edge effect. The absorption coefficient with two different kinds of sources. 1/.7-octave band and while noise, gives similar values.

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The Accuracy Improvement of Geo-Spatial Information in Urban Area with terrain Classification (지형분류에 따른 도심지역의 지형공간정보 정확도 향상)

  • 김정일;김현태;류지호;최동주;이현직
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.04a
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    • pp.301-308
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    • 2003
  • As the results of this study, the proposed method of this study which is increased to accuracy of DEM by classification of terrain is better than accuracy of DEM which is automatically generated by digital photogrammetry workstation system(DPWS). And, the edge detection method which is proposed by this study is established to extraction of geo-spatial information in ortho image.

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