• 제목/요약/키워드: Real World

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거리 측정 센서의 위치와 각도에 따른 깊이 영상 왜곡 보정 방법 및 하드웨어 구현 (Depth Image Distortion Correction Method according to the Position and Angle of Depth Sensor and Its Hardware Implementation)

  • 장경훈;조호상;김근준;강봉순
    • 한국정보통신학회논문지
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    • 제18권5호
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    • pp.1103-1109
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    • 2014
  • 디지털 영상 처리 분야에서 사람의 동작 인식은 다양하게 연구되고 있으며, 최근에는 깊이 영상을 이용한 방법이 매우 유용하게 사용되고 있다. 하지만 깊이 측정 센서의 위치와 각도에 따라 깊이 영상에서의 객체 크기나 형태가 왜곡되므로 사물 및 사람의 인식 과정에서 인식률이 감소하는 경우가 발생한다. 따라서 뛰어난 성능을 보장하기 위해서는 측정 센서에 의한 왜곡 보정은 반드시 고려되어야 할 사항이다. 본 논문에서는 동작 인식 시스템의 인식률을 향상시키기 위한 전처리 알고리즘을 제안한다. 깊이 측정 센서로부터 입력되는 깊이 정보를 실제 공간 (Real World)으로 변환하여 왜곡 보정을 수행한 후 투영 공간 (Projective World)으로 변환한다. 최종적으로 제안된 시스템을 OpenCV와 Window 프로그램을 사용하여 구현하였으며 Kinect를 사용하여 실시간으로 성능을 테스트하였다. 또한, Verilog-HDL을 사용하여 하드웨어 시스템을 설계하고, Xilinx Zynq-7000 FPGA Board에 탑재하여 검증하였다.

《확률과 통계》의 시행과 두 가지 확률에 대한 고찰 및 교육적 시사점 (A Study on Experiments and Two Interpretations of Probability in 《Probability and Statistics》 and Its Educational Implications)

  • 이기돈
    • 한국수학사학회지
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    • 제31권5호
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    • pp.251-269
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    • 2018
  • Empirical probability and classical probability, which are two interpretations of Kolmogorov's axiom, are two ways to recognize the chances of events occurring in the real world. In this paper, I analyzed and suggested the contents of the high school textbooks ${\ll}$Probability and Statistics${\gg}$, associated with two interpretations of probability and experiments on which two interpretations are based. By presenting the cases required expressly stating what the experiment is for supporting students' understanding of some concepts, it was discussed that stating or not stating what the experiment is should be carefully determined by the educational intent. Especially, I suggested that in the textbooks we contrast the good idea of calculating the ratios of two possibilities in the imaginary world of the classical probability with the normal idea of grasping the chances of events through the frequencies in the real world of the empirical probability, with distinguishing the experiments in two interpretations of probability. I also suggested that in the textbooks we make it clear that the Weak Law of Large Numbers justifies our expectations of the frequencies' reflecting the chances of events occurring in the real world under ideal conditions. Teaching and learning about the aesthetic elements and the practicality of imaginary mathematical thinking supported by these textbooks statements could be one form of Humanities education in mathematics as STEAM education.

Few-shot Learning을 이용한 격점상세도 분류 시스템 구현 (Implementation of Point detail Classification System using Few-shot Learning)

  • 박진혁;김용현;이국범;이종서;김유두
    • 한국정보통신학회논문지
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    • 제26권12호
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    • pp.1809-1815
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    • 2022
  • 디지털 트윈이란 현실세계와 동일한 가상세계를 만드는 기술이다. 다양한 시물레이션을 통해 현실 세계의 문제를 파악할 수 있어 여러 산업 분야에서 적용하는 추세이다. 디지털 트윈을 적용하기 위해서는 동일하게 만드려는 현실세계의 구조가 설계된 도면을 분석해야 한다. 도면을 분석하는 기술이 연구되고 있지만 도면을 작성하는 규칙이나 기준이 작성자마다 다르기 때문에 적용하기 어려운 추세다. 따라서 본 논문에서는 인공지능을 이용하여 도면 중 하나인 격점상세도를 분석하여 분류하는 시스템을 구현한다. 이를 통해 인공지능을 이용하여 도면을 분석하고 분류할 수 있는 가능성을 확인하고 추후 연구 방향에 대해 소개하고자 한다.

Real-World Clinical Efficacy and Tolerability of Direct-Acting Antivirals in Hepatitis C Monoinfection Compared to Hepatitis C/Human Immunodeficiency Virus Coinfection in a Community Care Setting

  • Gayam, Vijay;Hossain, Muhammad Rajib;Khalid, Mazin;Chakaraborty, Sandipan;Mukhtar, Osama;Dahal, Sumit;Mandal, Amrendra Kumar;Gill, Arshpal;Garlapati, Pavani;Ramakrishnaiah, Sreedevi;Mowyad, Khalid;Sherigar, Jagannath;Mansour, Mohammed;Mohanty, Smruti
    • Gut and Liver
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    • 제12권6호
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    • pp.694-703
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    • 2018
  • Background/Aims: Limited data exist comparing the safety and efficacy of direct-acting antivirals (DAAs) in hepatitis C virus (HCV) monoinfected and HCV/human immunodeficiency virus (HIV) coinfected patients in the real-world clinic practice setting. Methods: All HCV monoinfected and HCV/HIV coinfected patients treated with DAAs between January 2014 and October 2017 in community clinic settings were retrospectively analyzed. Pretreatment baseline patient characteristics, treatment efficacy, factors affecting sustained virologic response at 12 weeks (SVR12) after treatment, and adverse reactions were compared between the groups. Results: A total of 327 patients were included in the study, of which 253 were HCV monoinfected, and 74 were HCV/HIV coinfected. There was a statistically significant difference observed in SVR12 when comparing HCV monoinfection and HCV/HIV coinfection (94% and 84%, respectively, p=0.005). However, there were no significant factors identified as a predictor of a reduced response. The most common adverse effect was fatigue (27%). No significant drug interaction was observed between DAA and antiretroviral therapy. None of the patients discontinued the treatment due to adverse events. Conclusions: In a real-world setting, DAA regimens have lower SVR12 in HCV/HIV coinfection than in HCV monoinfection. Further studies involving a higher number of HCV/HIV coinfected patients are needed to identify real predictors of a reduced response.

Embedded 3D-Sensing Devices with Real-Time Depth-Imaging Technologies

  • Bhowmik, Achintya K.
    • 인포메이션 디스플레이
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    • 제18권3호
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    • pp.3-12
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    • 2017
  • In the recent years, significant advances have been made in the development of small form-factor, low power, and low cost 3D-sensing devices based on depth-imaging technologies with real-time performance. This has led to the advent of devices and machines that are able to sense and understand the world, navigate in the environment, and interact naturally with their human users. Human-computer interactions based on touch sensing and speech recognition have already become mainstream, and the rapid developments in 3D sensing is paving the path towards the next level of machine intelligence and interactions. This paper discusses the recent developments in real-time 3D sensing technologies and their emerging system application.

A Paraconsistent Robot

  • Almeida Prado, Jose Pacheco
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.92.2-92
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    • 2002
  • Building autonomous robots have been a central objective of research in artificial intelligence. The development of techniques for autonomous navigation in real environment consist one of the main tendencies of the current researches about Robotics. An important problem in autonomous navigation is the necessity of dealing with a great amount of uncertainties inherent to the real environments. The paraconsistent logic has characteristics that make it become an adequate tool to solve this problem. In this work, it is proposed a technique of mapping the real world in the navigation of an autonomous robot using the paraconsistent logic.

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