• Title/Summary/Keyword: AiPi+

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Cost Effective 60Hz FHD LCD with 800Mbps AiPi Technology

  • Nam, Hyoung-Sik;Oh, Kwan-Young;Kim, Seon-Ki;Kim, Nam-Deog;Berkeley, Brian H.;Kim, Sang-Soo;Lee, Yong-Jae;Nakajima, Keiichi
    • 한국정보디스플레이학회:학술대회논문집
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    • 2008.10a
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    • pp.677-680
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    • 2008
  • AiPi technology incorporates an embedded clock and control scheme with a point-to-point bus topology, achieving the smallest possible number of interface lines between a timing controller and source drivers. A 46" AiPi-based 10-bit FHD prototype requires only 20 interface lines, compared to 38 lines for mini-LVDS. The measured maximum data rate per one data pair is more than 800Mbps.

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A Cost-effective 60Hz FHD LCD Using 800Mbps AiPi Technology

  • Nam, Hyoung-Sik;Oh, Kwan-Young;Kim, Seon-Ki;Kim, Nam-Deog;Kim, Sang-Soo
    • Journal of Information Display
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    • v.10 no.1
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    • pp.37-44
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    • 2009
  • AiPi technology incorporates an embedded clock and control scheme with a point-to-point bus topology, thereby having the smallest possible number of interface lines between a timing controller and column drivers. A point-to-point architecture boosts the data rate and reduces the number of interface lines, because impedance matching can be easily achieved. An embedded clock and control scheme is implemented by means of multi-level signalling, which results in a simple clock/data recovery circuitry. A 46" AiPi-based 10-bit FHD prototype requires only 20 interface lines, compared to 38 lines for mini-LVDS. The measured maximum data rate per data pair is more than 800 Mbps.

A Design of DLL-based Low-Power CDR for 2nd-Generation AiPi+ Application (2세대 AiPi+ 용 DLL 기반 저전력 클록-데이터 복원 회로의 설계)

  • Park, Joon-Sung;Park, Hyung-Gu;Kim, Seong-Geun;Pu, Young-Gun;Lee, Kang-Yoon
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.48 no.4
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    • pp.39-50
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    • 2011
  • In this paper, we presents a CDR circuit for $2^{nd}$-generation AiPi+, one of the Intra-panel Interface. The speed of the proposed clock and data recovery is increased to 1.25 Gbps compared with that of AiPi+. The DLL-based CDR architecture is used to generate the multi-phase clocks. We propose the simple scheme for frequency detector (FD) to mitigate the harmonic-locking and reduce the complexity. In addition, the duty cycle corrector that limits the maximum pulse width is used to avoid the problem of missing clock edges due to the mismatch between rising and falling time of VCDL's delay cells. The proposed CDR is implemented in 0.18 um technology with the supply voltage of 1.8 V. The active die area is $660\;{\mu}m\;{\times}\;250\;{\mu}m$, and supply voltage is 1.8 V. Peak-to-Peak jitter is less than 15 ps and the power consumption of the CDR except input buffer, equalizer, and de-serializer is 5.94 mW.

A Study on the Implementation and Performance Verification of DistilBERT in an Embedded System(Raspberry PI 5) Environment (임베디드 시스템(Raspberry PI 5) 환경에서의 DistilBERT 구현 및 성능 검증에 관한 연구)

  • Chae-woo Im;Eun-Ho Kim;Jang-Won Suh
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.617-618
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    • 2024
  • 본 논문에서 핵심적으로 연구할 내용은 기존 논문에서 소개된 BERT-base 모델의 경량화 버전인 DistilBERT 모델을 임베디드 시스템(Raspberry PI 5) 환경에 탑재 및 구현하는 것이다. 또한, 본 논문에서는 임베디드 시스템(Raspberry PI 5) 환경에 탑재한 DistilBERT 모델과 BERT-base 모델 간의 성능 비교를 수행하였다. 성능 평가에 사용한 데이터셋은 SQuAD(Standford Question Answering Dataset)로 질의응답 태스크에 대한 데이터셋이며, 성능 검증 지표로는 EM(Exact Match) Score와 F1 Score 그리고 추론시간을 사용하였다. 실험 결과를 통해 DistilBERT와 같은 경량화 모델이 임베디드 시스템(Raspberry PI 5)과 같은 환경에서 온 디바이스 AI(On-Device AI)로 잘 작동함을 증명하였다.

Performance Evaluation of Shape Descriptors for Gait Analysis Based on Silhouette Sequence (실루엣 영상기반 보행 분석을 위한 형태 기술자의 성능 평가)

  • Kim, Seon-Jong
    • Journal of Intelligence and Information Systems
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    • v.15 no.4
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    • pp.53-64
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    • 2009
  • This paper presents a performance evaluation of shape descriptors for gait analysis in case of silhouette sequence images. We used moment descriptors(MD), Fourier descriptors(FD) and Zernike descriptors(ZD) as a shape descriptor. To evaluate their performance, we firstly defined the performance index, that is, AI(asymmetry index) and PI(periodic index) based on the periodic property of the gait images. This is why they are represented by periodic parameters due to periodic gait images. This index means that how the shape is represented periodically. According to these indexes, we evaluated the data sets with periodic images, downloaded from internet. The results showed that Zernike descriptors had better performance of AI = 1.09 and PI = 2.21 than others. And in case of FD and ZD, it's efficient to implement the gait analysis with 5~10 parameters.

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Light Emitting Diodes Based on Polyaniline (폴리아닐린을 이용한 발광소자 연구)

  • Kim, Eun Ok;Park, Soo Beom;Heo, Seok;Lee, Sung Joo
    • Journal of the Korean Chemical Society
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    • v.45 no.2
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    • pp.156-161
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    • 2001
  • Various oxidation states of Polyaniline(PANI) were chemically synthesized, and characterized by FT-IR, UV-Vis, GPC, TG-DTA, Single layer light emitting diodes(LED) were perpared by spin coating of LEB-PANI solutions which have various oxidation states onto an ITO substrate and subsequent vacuum deposition of aluminum top electrode and then current-voltage characteristics. EL spectrum was investigated It was found that ${\pi}$-${\pi}$* transition were shifled to longer wavelength and molecular excition transition were decreased in the UV-Vis spectra and the intensity of EL and PL were increased as the contents of fully reduced form LEB increased. The turn-on voltage of ITO/LEB/AI structured LED was 5 V. It was found that the white light was emitted only from the phase with reduced epeat unit.

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Presenting Practical Approaches for AI-specialized Fields in Gwangju Metro-city (광주광역시의 AI 특화분야를 위한 실용적인 접근 사례 제시)

  • Cha, ByungRae;Cha, YoonSeok;Park, Sun;Shin, Byeong-Chun;Kim, JongWon
    • Smart Media Journal
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    • v.10 no.1
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    • pp.55-62
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    • 2021
  • We applied machine learning of semi-supervised learning, transfer learning, and federated learning as examples of AI use cases that can be applied to the three major industries(Automobile industry, Energy industry, and AI/Healthcare industry) of Gwangju Metro-city, and established an ML strategy for AI services for the major industries. Based on the ML strategy of AI service, practical approaches are suggested, the semi-supervised learning approach is used for automobile image recognition technology, and the transfer learning approach is used for diabetic retinopathy detection in the healthcare field. Finally, the case of the federated learning approach is to be used to predict electricity demand. These approaches were tested based on hardware such as single board computer Raspberry Pi, Jaetson Nano, and Intel i-7, and the validity of practical approaches was verified.

AI Scheduler using AWS and Raspberry Pi (AWS와 라즈베리 파이를 활용한 AI 스케줄러에 대한 연구)

  • Jeon, Ji-won;Lim, Chae-yean;Jung, Byung-ho;Lee, Sung-Jin;Moon, Sang-ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.370-372
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    • 2021
  • According to the Clinical Research Center for Dementia, 840,000 Koreans aged 65 or older had dementia patients, with a prevalence rate of 10.39%. The prevalence rate is one in 10 elderly people, but difficult for families to take care of them all day. Judged that possible to manage the conditions and schedules of elderly people living alone by utilizing AI speaker system where schedule management is stored. This paper implements modules for AI schedulers in patients with dementia. Configured to link AWS, a remote IOT, inside the raspberry pi, and to output the schedule to speakers using a calendar from Google API. Through this study, judged that ease of scheduling will help manage and schedule dementia patients.

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Development of Smart medicine box Integrated with AI speaker (AI 스피커와 연동되는 스마트 약통 개발)

  • Choi, Hyo Hyun;Yu, Kwang Sik
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.289-290
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    • 2022
  • 본 논문에서는 약을 제 시간에 복용할 수 있도록 도와주는 스마트 약통 서비스를 개발한 결과를 보인다. 라즈베리파이, 자석감지센서, LED, AI스피커와 외부서버를 결합한 구조로 개발하였으며, 사용자는 약을 복용하였는지에 따라 AI스피커를 통해서 약 복용 여부를 물어볼 수 있고 LED를 통해서 아침, 점심, 저녁의 시간에 따라 복용해야 하는 약을 표시해 줄 수 있도록 하였다.

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A Study on the Automatic Door Speed Control Design by the Identification of Auxiliary Pedestrian Using Artificial Intelligence (AI) (인공지능(AI)를 활용한 보조보행기구 식별에 따른 자동문 속도 조절 설계에 대한 연구)

  • Kim, yu-min;Choi, kyu-min;Shin, jun-pyo;Seong, Seung-min;Lee, byung-kwon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.237-239
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    • 2021
  • 본 논문에서는 YOLO 시스템을 사용하여 보조 보행 기구를 인식 한 후 자동문 속도 조절에 대한 방법을 제안한다. Visual studio, OpenCV, CUDA를 활용하여 보조 보행 기구를 인식이 가능하게 신경망 훈련 및 학습 한 데이터를 기반으로 Raspberry Pi, 카메라 모듈을 활용하여 실시간 모니터링을 통해 보조 보행 기구를 인식하여 자동문의 속도를 조절을 구현했다. 이로써 거동이 불편한 장애인은 원활하게 건물 출입이 가능하다.

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