• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권2호
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• pp.643-661
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• 2018

This paper proposes a novel algorithm for lane detection based on inverse perspective transformation and Kalman filter. A simple inverse perspective transformation method is presented to remove perspective effects and generate a top-view image. This method does not need to obtain the internal and external parameters of the camera. The Gaussian kernel function is used to convolute the image to highlight the lane lines, and then an iterative threshold method is used to segment the image. A searching method is applied in the top-view image obtained from the inverse perspective transformation to determine the lane points and their positions. Combining with feature voting mechanism, the detected lane points are fitted as a straight line. Kalman filter is then applied to optimize and track the lane lines and improve the detection robustness. The experimental results show that the proposed method works well in various road conditions and meet the real-time requirements.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권1호
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• pp.1-17
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• 2016

The separated management and operation of commercial IP/optical multilayer networks makes network operators look for a unified control plane (UCP) to reduce their capital and operational expenditure. Software-defined networking (SDN) provides a central control plane with a programmable mechanism, regarded as a promising UCP for future optical networks. The general control and scheduling mechanism in SDN-based optical burst switching (OBS) networks is insufficient so the controller has to process a large number of messages per second, resulting in low network resource utilization. In view of this, this paper presents the burst-flow scheduling mechanism (BFSM) with a proposed scheduling algorithm considering channel usage. The simulation results show that, compared with the general control and scheduling mechanism, BFSM provides higher resource utilization and controller performance for the SDN-based OBS network in terms of burst loss rate, the number of messages to which the controller responds, and the average latency of the controller to process a message.

• 정보처리학회논문지C
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• 제16C권2호
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• pp.217-222
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• 2009

본 논문은 EPON (Ethernet Passive Optical Network)에서 IPTV (Internet Protocol Television) 서비스의 멀티캐스트 QoS (Quality of Service)를 제공하기 위해서 ONU (Optical Network Unit) 수 기반 우선순위 스케줄링 기법을 제안한다. 멀티캐스트 효율은 얼마나 많은 패킷들로 복사되어 전송하는가에 의해서 결정되기 때문에 멀티캐스트 QoS는 패킷 수신기의 수의 영향을 받는다. 따라서 제안하는 기법은 많은 사용자가 이용하는 IPTV 멀티캐스트 서비스에 높은 우선순위를 부여하기 위해서 멀티캐스트 트래픽을 받는 ONU 수를 기반으로 우선순위를 부여하고 높은 우선순위의 멀티캐스트 패킷을 우선적으로 전송한다. 그리하여 제안하는 기법은 인기 있는 IPTV 서비스들에게 망이 혼잡한 경우에도 좋은 QoS (적은 패킷 손실과 작은 대기 지연)와 안정적인 서비스를 제공한다.

• 정보처리학회논문지C
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• 제13C권4호
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• pp.441-446
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• 2006

최근, IP 기반 인터넷 트래픽의 폭발적인 증가로 인하여 인터넷의 백본 네트워크로서 광 WDM 네트워크가 주목을 받고 있다. 광 버스트 교환(OBS)은 WDM 네트워크에서 사용될 효과적인 교환 기술로서 제안되었다. 광 버스트 교환은 대역폭을 효율적으로 사용하고 광 버퍼가 불필요하다는 크게 두 가지의 이점을 가지고 있다. 그러나, 광 버스트 교환은 네트워크 내에서 광 버스트가 충돌하는 문제점을 가지고 있다. 우회 라우팅(deflection routing)이 이 문제를 해결하는 하나의 방법으로 제안되었다. 본 논문에서는 우회 라우팅을 사용하는 환경에서 버스트 손실을 최소화하는 새로운 라우팅 방법을 제안한다. 또한 새로운 라우팅 알고리즘을 이용하여 QoS 제어 방법을 제안한다. 마지막으로, 컴퓨터 시뮬레이션을 통하여 제안 방법의 유효성을 보인다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.2028-2041
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• 2019

Compressed sensing (CS) is a new theory. With regard to the sparse signal, an exact reconstruction can be obtained with sufficient CS measurements. Nevertheless, in practical applications, the transform coefficients of many signals usually have weak sparsity and suffer from a variety of noise disturbances. What's worse, most existing classical algorithms are not able to effectively solve this issue. So we proposed an efficient algorithm based on smoothed ${\ell}_0$ norm for sparse signal reconstruction. The direct ${\ell}_0$ norm problem is NP hard, but it is unrealistic to directly solve the ${\ell}_0$ norm problem for the reconstruction of the sparse signal. To select a suitable sequence of smoothed function and solve the ${\ell}_0$ norm optimization problem effectively, we come up with a generalized approximate function model as the objective function to calculate the original signal. The proposed model preserves sharper edges, which is better than any other existing norm based algorithm. As a result, following this model, extensive simulations show that the proposed algorithm is superior to the similar algorithms used for solving the same problem.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.5978-5999
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• 2018

Pedestrian detection is a challenging area in the intelligent vehicles domain. During the last years, many works have been proposed to efficiently detect motion in images. However, the problem becomes more complex when it comes to detecting moving areas while the vehicle is also moving. This paper presents a variational optical flow-based method for motion estimation in vehicular traffic scenarios. We introduce a framework for detecting motion areas with small and large displacements by computing optical flow using a multilevel architecture. The flow field is estimated at the shortest level and then successively computed until the largest level. We include a filtering parameter and a warping process using bicubic interpolation to combine the intermediate flow fields computed at each level during optimization to gain better performance. Furthermore, we find that by including a penalization function, our system is able to effectively reduce the presence of outliers and deal with all expected circumstances in real scenes. Experimental results are performed on various image sequences from Daimler Pedestrian Dataset that includes urban traffic scenarios. Our evaluation demonstrates that despite the complexity of the evaluated scenes, the motion areas with both moving and static camera can be effectively identified.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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• pp.1981-1995
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• 2021

When a person tries to conceal emotions, real emotions will manifest themselves in the form of micro-expressions. Research on facial micro-expression recognition is still extremely challenging in the field of pattern recognition. This is because it is difficult to implement the best feature extraction method to cope with micro-expressions with small changes and short duration. Most methods are based on hand-crafted features to extract subtle facial movements. In this study, we introduce a method that incorporates optical flow and deep learning. First, we take out the onset frame and the apex frame from each video sequence. Then, the motion features between these two frames are extracted using the optical flow method. Finally, the features are inputted into an improved MobileNetV2 model, where SVM is applied to classify expressions. In order to evaluate the effectiveness of the method, we conduct experiments on the public spontaneous micro-expression database CASME II. Under the condition of applying the leave-one-subject-out cross-validation method, the recognition accuracy rate reaches 53.01%, and the F-score reaches 0.5231. The results show that the proposed method can significantly improve the micro-expression recognition performance.

• 한국인터넷방송통신학회논문지
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• 제21권2호
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• pp.151-156
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• 2021

고유치 문제에 기초한 모드 전송선로 이론 (Modal Transmission-Line Theory: MTLT)을 이용하여 비대칭 정방형 격자로 구성된 광 도파로의 누설특성과 Bragg 조건들을 정확하게 분석하였다. 비대칭 정방형 격자로 구성된 광도파로는 Bragg 조건들에서 leaky-wave stop-band가 나타났으며, Bragg 조건 근처에서 Rayleigh-Wood 조건에 기인한 anomalies 현상이 발생함을 보였다. 또한, 주기적인 격자구조의 특성 임피던스에 기초한 종 방향 등가 전송선로를 구성하여 광 도파로의 DFB 특성을 Bragg 조건에서 분석하였다. 분석 결과, leaky-wave stop-band가 발생하는 Bragg 조건 근처에서 DFB 도파로의 반사전력이 최대가 되는 filtering 특성이 활성화되는 것을 확인하였다.

• 한국인터넷방송통신학회논문지
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• 제23권2호
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• pp.163-168
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• 2023

본 논문에서는 화학적 감지 및 바이오 감지를 위한 새로운 플랫폼을 제시하였다. 작동 원리는 광 방향성 결합기(DC)와 다중 모드 간섭 결합기 (MMI)의 결합효율과 간섭특성에 기반한다. 또한, 실리콘 기판에 통합할 수 있도록 평면 기술을 사용하여 실현하였다. 먼저, DC와 MMIC의 분산곡선을 설명하고, 도파관 감도를 증가시키기 위한 최적화된 슬롯 광 도파관의 설계 사양을 선택하였다. 다음으로, 감지 분석물의 굴절률 변화에 대한 센서 응답을 수치해석 하였다. 수치해석 결과, 분석 물질의 굴절률 단위 (RIU) 변화당 높은 유효 지수 변화가 얻어졌으며, 그 감도는 DC 및 MMIC 설계 기법을 사용하여 조정할 수 있음을 보여주었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권12호
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• pp.3310-3329
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• 2023

This work designs an eighteen-channel bidirectional Intensity Modulation with Direct Detection (IM/DD) Wavelength Division Multiplexing-Passive Optical Network (WDM-PON) system. The proposed system meets the requirement of the ITU-T 5G fronthaul link suggested design in G-series Recommendations-Supplement 66. The newly designed system, with a 25Gb/s/λ data rate (450Gbps as a system capacity), has been tested and simulated using OptiSystem V.19 software. The system has been evaluated by the BER with respect to variable the optical span and CW laser power. Based on the ITU-T recommendations, the simulation results demonstrate that this system might be used as an F1 and as an Fx 5G fronthaul link for functional split choices starting from options 1 to 7a. These options are required under 25Gbps/λ for each upstream and downstream link direction. Furthermore, the proposed system utilized a bidirectional single-mode optical fiber within short optical spans of up to 10 km. The proposed system is characterized by a low-cost, simple, DSP-free and amplifier-free system with a reasonable system capacity.