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배경 분리 알고리즘 기반 이동 객체 탐지 성능 평가 기법 연구
호씬 엠디 알람깃,호씬 엠디 임티아즈,호씬 엠디 딜로와르,이가원,허의남 한국정보과학회 2020 정보과학회 컴퓨팅의 실제 논문지 Vol.26 No.10
The background subtraction technique finds moving objects and reconstructs the background from video sequences. The background subtraction has extensive real-world applications. Most of the background subtraction studies have focused on increasing the accuracy while reducing the complexity. Though few studies have appraised the accuracy of the background subtraction methods, the researchers have not measured the computational complexity of the methods. Thus, in this study, our main goal was to measure the accuracy and computational complexity of the background subtraction approaches. This study can be used in industry and academy. Also, we implemented and assessed the performance of the three different types of background subtraction algorithms such as the cluster-based method, the statistical-based method, and the sample consensusbased method. We mainly used the F-measure with other confusion metrics, which are the most accepted criteria to assess the segmentation accuracy of the background subtraction algorithms. Also, we evaluated the complexity in terms of the memory usage per pixel and the number of frame display per second for the CDD-2012, CDD-2014, and Carnegie Mellon datasets. The experimental data are presented in the table in Section 4 to show the accuracy and computational complexity. 배경 분리 알고리즘은 비디오 시퀀스에서 배경을 재구성하여 움직이는 객체를 찾아내기 위한 기술로, 광범위한 응용 분야에 활용되고 있다. 배경 분리 알고리즘의 연구는 주로 복잡도를 줄이면서 정확성을 높이는 데 중점을 두고 있으나, 복잡도를 측정하거나 정확도를 평가하는 방법에 대한 연구는 상대적으로 미비한 상태이다. 따라서, 본 연구에서는 산업 및 학술적으로 모두 사용 가능한 배경 분리 알고리즘의 정확도와 계산 복잡도 평가 방안을 제시하고자 한다. 본 논문에서는 클러스터 기반 기법, 통계 기반 기법, 표본 합의 기반 기법의 세가지 종류와 배경 분리 알고리즘을 구현하고 평가한다. 특히 배경 분리 알고리즘의 분할 정확도를 평가하는데 가장 적합한 방법인 F-measure를 다른 혼합 지표와 함께 사용하였으며, CDD-2012, CDD-2014, 카네기멜론의 데이터시트를 픽셀당 메모리 사용량, 초당 프레임 수로 복잡도를 평가하여 정확도와 계산 복잡도를 나타낸 실험 결과를 본문(섹션 4)에 제시하였다.
Retirement Age Expectations of Women in Their 50s: The Role of Early Adulthood Work Experiences
호정화 한국사회학회 2016 韓國社會學 Vol.50 No.3
With population aging and continuation of female labor force participation, there is increasing social concern regarding when middle-aged female workers expect to retire. Literature on gendered life course and retirement suggests that earlier work experiences are related to retirement expectations in later life. Relying on Korean Longitudinal Study on Ageing (2012), this paper examined how retirement age expectations of women in their 50s were related to work experiences in early adulthood (ages 20-45). Retirement age expectations were categorized as: expecting to retire at age 64 or earlier, expecting to retire at 65 or later, and expecting not to retire. Early adulthood work experiences were measured by number of work years, number of jobs, and experience of job exit due to family reasons. Results suggest that women in their 50s with longer work years and women with fewer jobs were more likely to expect to retire at 64 or earlier rather than not to retire. Also women with longer work years tended to expect retire at 65 years or later than not to retire. Links between retirement age expectations and earlier work experiences remained significant after controlling for proximate conditions in one’s 50s such as current employment status and financial status. These findings suggest importance of earlier life experiences in understanding later life retirement expectations.
Novel Intensity-Based Fiber Optic Vibration Sensor Using Mass-Spring Structure
호일,김현호,최상진,반재경 대한전자공학회 2014 전자공학회논문지 Vol.51 No.6
In this paper, a novel intensity-based fiber optic vibration sensor using a mass-spring structure, which consists of four serpentine flexure springs and a rectangular aperture within a proof mass, is proposed and its feasibility test is given by the simulation and experiment. An optical collimator is used to broaden the beam which is modulated by the displacement of the rectangular aperture within the proof mass. The proposed fiber optic vibration sensor has been analyzed and designed in terms of the optical and mechanical parts. A mechanical structure has been designed using theoretical analysis, mathematical modeling, and 3D FEM (Finite Element Method) simulation. The relative aperture displacement according to the base vibration is given using FEM simulation, while the output beam power according to the relative displacement is measured by experiment. The simulated sensor sensitivity of 15.731 μW/G and detection range of ±6.087 G are given. By using reference signal, the output signal with 0.75% relative error shows a good stability. The proposed vibration sensor structure has the advantages of a simple structure, low cost, and multi-point sensing characteristic. It also has the potential to be made by MEMS (Micro-Electro-Mechanical System) technology.
Game Theory Based Dynamic Computation Offloading in MEC-Enabled Vehicular Networks
호씬 엠디 딜로와르,턴지나 솔탄아,와카스 우르 라만,이가원,허의남 한국정보과학회 2022 정보과학회 컴퓨팅의 실제 논문지 Vol.28 No.4
Vehicular edge computing (VEC) provides a new paradigm for fetching services in close proximity to vehicular networks (VNs). However, due to the problem of overloading and the high mobility of vehicles, VEC experiences many challenges in identifying the location for processing the offloaded task. Therefore, to tackle these issues, we proposed a game theory-based dynamic computation offloading (GDCO) scheme in multi-access edge computing (MEC)-enabled vehicular networks. Our proposed strategy can dynamically adjust the task offloading probability to maximize the utility for each vehicle under certain conditions. Moreover, for real-life scenarios, we considered vehicle movements at various speeds when designing the mobility model. The simulation results confirmed that our proposed scheme fulfilled the performance guarantees to reduce the task failure rates by almost 76.5% and 79.3% compared to local road-side unit computing (LRC) and random offloading schemes, respectively.