• Title/Summary/Keyword: Software V&V

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A Study on Electrooptic $Ti:LiNbO_3$ Mach-Zehnder integrated-optic interferometers for Electric-Field Measurement (전계측정용 전기광학 $Ti:LiNbO_3$ Mach-Zehnder 집적광학 간섭기에 관한 연구)

  • Jung, Hong-Sik
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.48 no.12
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    • pp.15-22
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    • 2011
  • Integrated-optic symmetric/asymmetric Mach-Zehnder interferometers at $1.3{\mu}m$ wavelength were studied as sensing part for electric-field measurement system. The devices were simulated based on the BPM software and fabricated utilizing Ti-diffused $LiNbO_3$ channel optical waveguides and lumped-type electrodes. A half-wave voltage of $V_{\pi}$=6.6V and modulation depth of 100% and 75% for a symmetric structure were measured for 200Hz and 1kHz electrical signal bandwidth, respectively. By the way, almost half-maximum power transmission was observed for asymmetric interferometers with ${\pi}$/2 intrinsic phase difference. Expected experimental measurements were observed for 1kHz electrical signal bandwidth.

A Black Ice Recognition in Infrared Road Images Using Improved Lightweight Model Based on MobileNetV2 (MobileNetV2 기반의 개선된 Lightweight 모델을 이용한 열화도로 영상에서의 블랙 아이스 인식)

  • Li, Yu-Jie;Kang, Sun-Kyoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.12
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    • pp.1835-1845
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    • 2021
  • To accurately identify black ice and warn the drivers of information in advance so they can control speed and take preventive measures. In this paper, we propose a lightweight black ice detection network based on infrared road images. A black ice recognition network model based on CNN transfer learning has been developed. Additionally, to further improve the accuracy of black ice recognition, an enhanced lightweight network based on MobileNetV2 has been developed. To reduce the amount of calculation, linear bottlenecks and inverse residuals was used, and four bottleneck groups were used. At the same time, to improve the recognition rate of the model, each bottleneck group was connected to a 3×3 convolutional layer to enhance regional feature extraction and increase the number of feature maps. Finally, a black ice recognition experiment was performed on the constructed infrared road black ice dataset. The network model proposed in this paper had an accurate recognition rate of 99.07% for black ice.

Investigation on Individual Variation of Organ Doses for Photon External Exposures: A Monte Carlo Simulation Study

  • Yumi Lee;Ji Won Choi;Lior Braunstein;Choonsik Lee;Yeon Soo Yeom
    • Journal of Radiation Protection and Research
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    • v.49 no.1
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    • pp.50-64
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    • 2024
  • Background: The reference dose coefficients (DCs) of the International Commission on Radiological Protection (ICRP) have been widely used to estimate organ doses of individuals for risk assessments. This approach has been well accepted because individual anatomy data are usually unavailable, although dosimetric uncertainty exists due to the anatomical difference between the reference phantoms and the individuals. We attempted to quantify the individual variation of organ doses for photon external exposures by calculating and comparing organ DCs for 30 individuals against the ICRP reference DCs. Materials and Methods: We acquired computed tomography images from 30 patients in which eight organs (brain, breasts, liver, lungs, skeleton, skin, stomach, and urinary bladder) were segmented using the ImageJ software to create voxel phantoms. The phantoms were implemented into the Monte Carlo N-Particle 6 (MCNP6) code and then irradiated by broad parallel photon beams (10 keV to 10 MeV) at four directions (antero-posterior, postero-anterior, left-lateral, right-lateral) to calculate organ DCs. Results and Discussion: There was significant variation in organ doses due to the difference in anatomy among the individuals, especially in the kilovoltage region (e.g., <100 keV). For example, the red bone marrow doses at 0.01 MeV varied from 3 to 7 orders of the magnitude depending on the irradiation geometry. In contrast, in the megavoltage region (1-10 MeV), the individual variation of the organ doses was found to be negligibly small (differences <10%). It was also interesting to observe that the organ doses of the ICRP reference phantoms showed good agreement with the mean values of the organ doses among the patients in many cases. Conclusion: The results of this study would be informative to improve insights in individual-specific dosimetry. It should be extended to further studies in terms of many different aspects (e.g., other particles such as neutrons, other exposures such as internal exposures, and a larger number of individuals/patients) in the future.

Design of Product-Line Architecture based-on Common Architecture (공통 아키텍처 기반 제품계열 아키텍처 설계)

  • Oh, Young-Bae;Shin, Sung-Oog;Kim, Young-Gab;Baik, Doo-Kwon
    • Journal of Information Technology Services
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    • v.5 no.2
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    • pp.155-168
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    • 2006
  • Software product line is a software product or a set of software system, which has common functions. We can develop a specific software product, which satisfies requirements of a particular market segment and a mission in a specific domain by reusing the core asset such as the developed software architecture through the software product line. Software development methodology based on the software product line can develop a software more easily and fast by reusing the developed software core asset. Developed countries of software technology select software product line as a core field of software production technology, and support technology development. In case of USA, CMU/SEI(Carnegie Mellon University/Software Engineering Institute) developed product-line framework 4.0 together with the industry and the Department of Defense. Europe is supporting the development of product line technology through ITEA(IT for European Advancement) program. However, industries in our country understand the necessity of software production technology based on product line concept for the purpose of increasing productivity, it is not sufficient to invest for this technology development. In this paper, we aim to construct the common architecture of software product line for production of the software product line.

Lead-free inorganic metal perovskites beyond photovoltaics: Photon, charged particles and neutron shielding applications

  • Srilakshmi Prabhu;Dhanya Y. Bharadwaj;S.G. Bubbly;S.B. Gudennavar
    • Nuclear Engineering and Technology
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    • v.55 no.3
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    • pp.1061-1070
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    • 2023
  • Over the last few years, lead-free inorganic metal perovskites have gained impressive ground in empowering satellites in space exploration owing to their material stability and performance evolution under extreme space environments. The present work has examined the versatility of eight such perovskites as space radiation shielding materials by computing their photon, charged particles and neutron interaction parameters. Photon interaction parameters were calculated for a wide energy range using PAGEX software. The ranges of heavy charged particles (H, He, C, N, O, Ne, Mg, Si and Fe ions) in these perovskites were estimated using SRIM software in the energy range 1 keV-10 GeV, and that of electrons was computed using ESTAR NIST software in the energy range 0.01 MeV-1 GeV. Further, the macroscopic fast neutron removal cross-sections were also calculated to estimate the neutron shielding efficiencies. The examined shielding parameters of the perovskites varied depending on the radiation type and energy. Among the selected perovskites, Cs2TiI6 and Ba2AgIO6 displayed superior photon attenuation properties. A 3.5 cm thick Ba2AgIO6-based shield could reduce the incident radiation intensity to half its initial value, a thickness even lesser than that of Pb-glass. Besides, CsSnBr3 and La0.8Ca0.2Ni0.5Ti0.5O3 displayed the highest and lowest range values, respectively, for all heavy charged particles. Ba2AgIO6 showed electron stopping power (on par with Kovar) better than that of other examined materials. Interestingly, La0.8Ca0.2Ni0.5Ti0.5O3 demonstrated neutron removal cross-section values greater than that of standard neutron shielding materials - aluminium and polyethylene. On the whole, the present study not only demonstrates the employment prospects of eco-friendly perovskites for shielding space radiations but also suggests future prospects for research in this direction.

Accuracy of soft tissue Profile change prediction in mandibular set-back surgery patients: a comparison of Quick Ceph Image $Pro^{TM}$ (ver 3.0) and $V-Ceph^{TM}$(ver 3.5) (하악골 후퇴 수술 환자의 연조직 측모 예측의 정확성: Quick Ceph Image $Pro^{TM}$(ver 3.0)와 $V-Ceph^{TM}$(Ver 3.5)의 비교)

  • Kim, Myoung-Kyun;Choi, Yong-Sung;Chung, Song-Woo;Jeon, Young-Mi;Kim, Jong-Ghee
    • The korean journal of orthodontics
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    • v.35 no.3 s.110
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    • pp.216-226
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    • 2005
  • The purpose of this study was to test and compare the accuracy and reliability of soft tissue profile predictions generated from two computer software programs (Quick Ceph Image $Pro^{TM}$ (ver 3.0) and $V-Ceph^{TM}$(ver 3.5)) for mandibular set-back surgery. The presurgical and postsurgical lateral cephalograms of 40 patients (20 males and 20 females) were traced on the same acetate paper with the reference taken as the cranial base outline. The presurgical skeletal outlines were digitized onto each computer program and the mandible was moved to mimic the expected surgical procedure with reverence to the mandibular anterior border and lower incisor position of the actual postsurgical skeletal outline. The soft tissue profile was generated and the amount and direction of skeletal movement was calculated with each software. The predicted soft tissue profile was compared to the actual postsurgical soft tissue profile. There were differences between the actual and the predicted surgical soft tissue profile charges in the magnitude and direction, especially the upper lip. lower lip and the soft tissue chin (P<0.05). Quick Ceph had more horizontal measurement errors and thickness errors for the upper lip and lower lip, but V-Ceph had more vertical measurement errors of the lower lip (P<0.05). There was a positive correlation between the prediction errors and the amount of mandibular movements in the vertical position of Sn, the horizontal position of Ls and the upper lip thickness for V-Ceph, and there was a negative correlation in the horizontal position and the thickness of the lower lip for Quick Ceph (P<0.05). However all of the Prediction errors of both imaging softwares were ranged within 3mm, and this was considered to be allowable clinically.

Verification and Verification Method of Safety Class FPGA in Nuclear Power Plant (원자력발전소의 안전등급 FPGA 확인 및 검증 방법)

  • Lee, Dongil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.464-466
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    • 2019
  • Controllers used in nuclear power plants require high reliability. A controller including a Field Programmable Gate Array (FPGA) and a Complex Programmable Logic Device (referred to hereinafter as FPGA) has been applied to many Nuclear Power Plants (NPP) in the past, including the APR1400 (Advanced Power Reactor 1400), a Korean digital nuclear power plant. Initially, the FPGA was considered as a general IC (Integrated Circuit) and verified only by device verification and performance testing. In the 1990s, research on FPGA verification began, and until the FPGA became a chip, it was regarded as software and the software Verification and Validation (V&V) using IEEE 1012-2004 was implemented. Currently, IEC 62566, which is a European standard, has been applied for a lot of verification. This method has been evaluated as the most sensible method to date. This is because the method of verifying the characteristics of SoC (System on Chip), which has been a problem in the existing verification method, is sufficiently applied. However, IEC 62566 is a European standard that has not yet been adopted in the United States and maintains the application of IEEE 1012 for FPGA. IEEE 1012-2004 or IEC 62566 is a technical standard. In practice, various methods are applied to meet technical standards. In this paper, we describe the procedure and important points of verification method of Nuclear Safety Class FPGA applying SoC verification method.

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Virtual Reality FPS game contents development Using Unreal Engine4 (언리얼 엔진(Unreal Engine4)을 이용한 가상현실 FPS게임 콘텐츠 개발)

  • Yun, Tae-Jin;Jo, Ho-Dong;Park, Jae-Woo;Park, Jun-Keun;Baek, Seung-Jae
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.437-438
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    • 2018
  • 최근 ICT산업의 주요 이슈인 가상현실(Virtual Reality, VR)은 다수의 IT기업들이 투자를 아끼지 않고 있다. 본 논문에서는 3D 디스플레이의 대표적인 HMD에 대한 장점인 몰입감, 공간감, 헤드트래킹에 대해 이해를 위해 HTC Vive을 이용해 Unreal Engine4 V4.19 게임엔진의 Level과 Gameinstance와 Actor에 대한 상호작용과 Timeline과 Random함수에 대한 이해를 기반으로 VR환경 FPS(First Person Shooter)게임 콘텐츠를 개발하였다.

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Development of monitoring system for detecting illegal dumping using deep learning (딥러닝 영상인식을 이용한 쓰레기 무단투기 단속 시스템 개발)

  • Bae, Chang-hui;Kim, Hyeong-jun;Yeo, Jeong-hun;Jeong, Ji-hun;Yun, Tae-jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.287-288
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    • 2020
  • 우리나라의 무단 투기된 쓰레기양은 2019년 2월 기준 33만 톤이며 이를 단속하기 위해 상용화된 쓰레기 무단투기 단속 시스템은 센서를 이용하여 시스템 주변에 사람이 지나가면 영상을 촬영하기 때문에 쓰레기 무단투기자 뿐 아니라 해당 시스템 주변을 지나는 모든 사람을 촬영하기 때문에 불법 쓰레기를 배출하는지 해당 영상을 사람이 일일이 다시 분석해야한다. 본 논문에서는 쓰레기 투기 행위 이미지를 바탕으로 학습시킨 딥러닝 실시간 객체인식 알고리즘인 YOLO-v4를 활용하여 실시간으로 쓰레기 무단투기를 단속하는 시스템을 제시한다.

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Development of PCB Classification System Using Robot Arm and Machine Vision (로봇암과 머신비전을 이용한 기판분류 시스템 개발)

  • Yun, Tae-Jin;Yeo, Jeong-Hun;Kim, Hyun-Su;Park, Seung-Ryeol;Hwang, Seung-Hyeok
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.01a
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    • pp.145-146
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    • 2020
  • 현재 4차 산업 혁명 시대에서 가장 중요한 화두는 빅데이터(Big Data), 인공지능이며, 이를 이용한 분야로 생산, 제조 분야에서도 인공지능 영상 인식 기술을 활용한 생산품을 자동으로 분류하고 나아가 품질검사도 할 수 있도록 개발하고 있다. 또한, 로봇을 공장의 생산라인에 운영하여 노동력 감소에 따른 보완이 되고, 제조과정의 효율성 증가와 생산시간 감소로 생산성을 높일 수 있다. 이를 위해 본 논문에서는 실시간 객체감지 기술인 YOLO-v3 알고리즘을 이용해서 PCB보드 인식, 분류할 수 있는 시스템을 개발하였다.

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