• Title/Summary/Keyword: channel integration

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Integrated Type DNA Chip Array and Gene Detection Using an Indicator-free DNA (집적형 DNA칩 어레이 및 비수식화 DNA를 이용한 유전자 검출)

  • Choi, Yong-Sung;Lee, Kyung-Sup
    • Proceedings of the KIEE Conference
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    • 2006.07c
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    • pp.1322-1323
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    • 2006
  • This research aims to develop the multiple channel electrochemical DNA chip that has the above characteristic and be able to solve the problems. At first, we fabricated a high integration type DNA chip array by lithography technology. It is able to detect a plural genes electrochemically after immobilization of a plural probe DNA and hybridization of non-labeling target DNA on the electrodes simultaneously.

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Design and Integration of Silica-Based 16 Channel CWDM (실리카 기반의 16채널 CWDM 광도파로의 설계 및 집적화)

  • 신호섭;심사용;이재우;이상선
    • Proceedings of the Optical Society of Korea Conference
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    • 2003.07a
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    • pp.232-233
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    • 2003
  • MZI 하나를 이용하여 한 단을 구성한 CWDM 설계에서는 출력 특성이 sine wave 의 제곱 특성을 가지므로 각 채널당 통과 대역이 좁다. 이러한 특성은 WDM System 에서 Laser Source 의 온도 변화에 의한 파장 변화에 대해 좋은 특성을 보이지 못함을 의미한다. 따라서 Laser Source 의 파장 변화에 좋은 특성을 갖는 넓은 통과대역을 갖을 필요가 있다. 본 연구 그룹은 MZI 2개와 3개를 이용하여 평평한 출력 특성을 갖는 4 채널 CWDM 광 도파로 소자의 설계와 해석을 발표한바 있다. (중략)

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High-Speed Low-Power Junctionless Field-Effect Transistor with Ultra-Thin Poly-Si Channel for Sub-10-nm Technology Node

  • Kim, Youngmin;Lee, Junsoo;Cho, Yongbeom;Lee, Won Jae;Cho, Seongjae
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.2
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    • pp.159-165
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    • 2016
  • Recently, active efforts are being made for future Si CMOS technology by various researches on emerging devices and materials. Capability of low power consumption becomes increasingly important criterion for advanced logic devices in extending the Si CMOS. In this work, a junctionless field-effect transistor (JLFET) with ultra-thin poly-Si (UTP) channel is designed aiming the sub-10-nm technology for low-power (LP) applications. A comparative study by device simulations has been performed for the devices with crystalline and polycrystalline Si channels, respectively, in order to demonstrate that the difference in their performances becomes smaller and eventually disappears as the 10-nm regime is reached. The UTP JLFET would be one of the strongest candidates for advanced logic technology, with various virtues of high-speed operation, low power consumption, and low-thermal-budget process integration.

The Embedded Remote Monitoring Diagnosis for Integration Vessel System (디지털 선박 추진 시스템을 위한 임베디드 원격 모니터링 진단)

  • Park, Se-Hyun;Noh, Seok-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.11
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    • pp.2708-2716
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    • 2013
  • This paper presents implementation of embedded remote monitoring diagnosis system which has effective wireless channel structure and communication protocols with user-friendly UI for intelligent digital vessel. Developed system contains integrated vessel monitoring system, server, exclusive mobile terminal and smart phone. We designed an effective dual structure communication channel and simple but effective communication protocol on the monitoring system. Failures of the wireless communication are minimized and the wrong wireless communication channel is immediately replaced. In addition, we developed an effective embedded Linux UI for LCD. The implemented wireless monitoring system was tested and verified on digital vessel.

Highly Integrated 3-dimensional NOR Flash Array with Vertical 4-bit SONOS (V4SONOS) (수직형 4-비트 SONOS를 이용한 고집적화된 3차원 NOR 플래시 메모리)

  • Kim, Yoon;Yun, Jang-Gn;Cho, Seong-Jae;Park, Byung-Gook
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.47 no.2
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    • pp.1-6
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    • 2010
  • We proposed a highly integrated 3-dimensional NOR Flash memory array by using vertical 4-bit SONOS NOR flash memory. This structure has a vertical channel, so it is possible to have a long enough channel without extra cell area. Therefore, we can avoid second-bit effect, short channel effect, and redistribution of injected charges. And the proposed array structure is based on three-dimensional integration. Thus, we can obtain a NOR flash memory having $1.5F^2$/bit cell size.

A Study on the Management Performance of the Distribution channel's CRM : Balanced Scorecard Approach as to CRM application field of of the Distribution Company About Korea Airport Service (한국공항내의 유통업의 CRM 도입성과에 관한 연구 -CRM Scorecard을 활용한 CRM 성과측정-)

  • Kwon, Joong-Ho;Park, Ju-Young
    • Journal of Advanced Navigation Technology
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    • v.14 no.6
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    • pp.951-969
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    • 2010
  • A Study on the Management Performance of the Distribution channel's CRM : Balanced Scorecard Approach as to CRM application field of the Distribution Company About Korea Airport Service In this paper, the performances of Distribution channel's estimation schemes for CRM system are investigated. We anticipate these moves will have a positive effect on the CRM Scorecard infra, process, elevate royalty environments. As is study of used SPSSWN 15.0 correlation analysis, regression analysis & AMOS 7.

Convolutional GRU and Attention based Fall Detection Integrating with Human Body Keypoints and DensePose

  • Yi Zheng;Cunyi Liao;Ruifeng Xiao;Qiang He
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.9
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    • pp.2782-2804
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    • 2024
  • The integration of artificial intelligence technology with medicine has rapidly evolved, with increasing demands for quality of life. However, falls remain a significant risk leading to severe injuries and fatalities, especially among the elderly. Therefore, the development and application of computer vision-based fall detection technologies have become increasingly important. In this paper, firstly, the keypoint detection algorithm ViTPose++ is used to obtain the coordinates of human body keypoints from the camera images. Human skeletal feature maps are generated from this keypoint coordinate information. Meanwhile, human dense feature maps are produced based on the DensePose algorithm. Then, these two types of feature maps are confused as dual-channel inputs for the model. The convolutional gated recurrent unit is introduced to extract the frame-to-frame relevance in the process of falling. To further integrate features across three dimensions (spatio-temporal-channel), a dual-channel fall detection algorithm based on video streams is proposed by combining the Convolutional Block Attention Module (CBAM) with the ConvGRU. Finally, experiments on the public UR Fall Detection Dataset demonstrate that the improved ConvGRU-CBAM achieves an F1 score of 92.86% and an AUC of 95.34%.

Future Impacts of RFID on Supply Chain Management and Redesigning the Distribution Structure of Seafood in Korea (국내 수산물 유통구조 재설계와 수산물 SCM에서의 RFID 효과)

  • Park, Myong-Sop;Park, Sang-Cheol;Kim, Jong-Uk
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.36
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    • pp.143-170
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    • 2007
  • In order to analyze the distribution channel of marine products in Korea, this study shows SCM approach to redesign of the marine distribution channel with case study related to previous literatures. In view of the supply chain and the future impact of RFID on the marine SCM on the recognition of the importance of the seafood traceability system, this study also provides the possibility to accomplish effective SCM for integration of production, storage, transportation, delivery, and sale when RFID is used in the seafood distribution channel based on the expansion of awareness on the marine product traceability. The traceability system for seafood is considered as the distribution infrastructure established in RFID deployment. By introducing Lotte mart case, this case study also discusses the marine distribution structure in view of the supply chain, to present an effective foundation for supplying seafood throughout production, distribution, and consumption. This is achieved by introducing RFID in an ubiquitous environment, and suggesting far more efficient control planning throughout the seafood distribution channel in view of the expected effects resulting from the introduction. In addition, as the alternative of solving this situation, this study propose the supply chain in seafoods by comprehensive management in whole distribution channels. In the SCM in seafood perspectives, HACCP can take into account the whole seafood chain from the point of supply to the point of consumption when assessing hazards. As the contributions of this study, this study emphasizes the seafood industry first should require the establishment of the relevant infrastructure, for which the efforts of the government and demonstrative project participants are essential.

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Economics of Supercapitalism - How Does Economic Globalization Affect Social Capital Accumulation? In the case of 65 countries. - (슈퍼자본주의의 경제학 -세계화와 사회자본-)

  • Suh, Hanseok
    • International Area Studies Review
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    • v.12 no.3
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    • pp.25-47
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    • 2008
  • This paper tries to explore the impact of economic globalization on social capital accumulation. To investigate direct effect, we build a model and derive a proposition which can explain the relative decline in social capital brought about by market expansion. Besides direct effect, we also explore channel effect through democracy, government size, education attainment, and inequality. We estimate direct and channel effect of globalization using cross section of 65 countries data time period 1980-1999 using three-stage least squares(3SLS). Results are in line with predictions and clearly support that globalization significantly and negatively affects social capital accumulation. Channel effect also shows that globalization has a negative effect through aggravating income inequality while it has a positive effect through higher education attainment, higher level of democracy and larger government spending. Such a net negative channel effect reinforces our prediction. As a robustness check we estimate other sets of data and the result strongly supports our theory.

A New CSR-DCF Tracking Algorithm based on Faster RCNN Detection Model and CSRT Tracker for Drone Data

  • Farhodov, Xurshid;Kwon, Oh-Heum;Moon, Kwang-Seok;Kwon, Oh-Jun;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.22 no.12
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    • pp.1415-1429
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    • 2019
  • Nowadays object tracking process becoming one of the most challenging task in Computer Vision filed. A CSR-DCF (channel spatial reliability-discriminative correlation filter) tracking algorithm have been proposed on recent tracking benchmark that could achieve stat-of-the-art performance where channel spatial reliability concepts to DCF tracking and provide a novel learning algorithm for its efficient and seamless integration in the filter update and the tracking process with only two simple standard features, HoGs and Color names. However, there are some cases where this method cannot track properly, like overlapping, occlusions, motion blur, changing appearance, environmental variations and so on. To overcome that kind of complications a new modified version of CSR-DCF algorithm has been proposed by integrating deep learning based object detection and CSRT tracker which implemented in OpenCV library. As an object detection model, according to the comparable result of object detection methods and by reason of high efficiency and celerity of Faster RCNN (Region-based Convolutional Neural Network) has been used, and combined with CSRT tracker, which demonstrated outstanding real-time detection and tracking performance. The results indicate that the trained object detection model integration with tracking algorithm gives better outcomes rather than using tracking algorithm or filter itself.