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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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IEIE Transactions on Smart Processing and Computing
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The Institute of Electronics Engineers of Korea
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Volume & Issues
Volume 4, Issue 6 - Dec 2015
Volume 4, Issue 5 - Oct 2015
Volume 4, Issue 4 - Aug 2015
Volume 4, Issue 3 - Jun 2015
Volume 4, Issue 2 - Apr 2015
Volume 4, Issue 1 - Feb 2015
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Distance Measurement Using the Kinect Sensor with Neuro-image Processing
Sharma, Kajal ;
IEIE Transactions on Smart Processing and Computing, volume 4, issue 6, 2015, Pages 379~383
DOI : 10.5573/IEIESPC.2015.4.6.379
This paper presents an approach to detect object distance with the use of the recently developed low-cost Kinect sensor. The technique is based on Kinect color depth-image processing and can be used to design various computer-vision applications, such as object recognition, video surveillance, and autonomous path finding. The proposed technique uses keypoint feature detection in the Kinect depth image and advantages of depth pixels to directly obtain the feature distance in the depth images. This highly reduces the computational overhead and obtains the pixel distance in the Kinect captured images.
Reconstruction of In-beam PET for Carbon therapy with prior-knowledge of carbon beam-track
Kim, Kwangdon ; Bae, Seungbin ; Lee, Kisung ; Chung, Yonghyun ; An, Sujung ; Joung, Jinhun ;
IEIE Transactions on Smart Processing and Computing, volume 4, issue 6, 2015, Pages 384~390
DOI : 10.5573/IEIESPC.2015.4.6.384
There are two main artifacts in reconstructed images from in-beam positron emission tomography (PET). Unlike generic PET, in-beam PET uses the annihilation photons that occur during heavy ion therapy. Therefore, the geometry of in-beam PET is not a full ring, but a partial ring that has one or two openings around the rings in order for the hadrons to arrive at the tumor without prevention of detector blocks. This causes truncation in the projection data due to an absence of detector modules in the openings. The other is a ring artifact caused by the gaps between detector modules also found in generic PET. To sum up, in-beam PET has two kinds of gap: openings for hadrons, and gaps between the modules. We acquired three types of simulation results from a PET system: full-ring, C-ring and dual head. In this study, we aim to compensate for the artifacts that come from the two types of gap. In the case of truncation, we propose a method that uses prior knowledge of the location where annihilations occur, and we applied the discrete-cosine transform (DCT) gap-filling method proposed by Tuna et al. for inter-detector gap.
Back-up Control of Truck-Trailer Vehicles with Practical Constraints: Computing Time Delay and Quantization
Kim, Youngouk ; Park, Jinho ; Paik, Joonki ;
IEIE Transactions on Smart Processing and Computing, volume 4, issue 6, 2015, Pages 391~402
DOI : 10.5573/IEIESPC.2015.4.6.391
In this paper, we present implementation of backward movement control of truck-trailer vehicles using a fuzzy mode-based control scheme considering practical constraints and computational overhead. We propose a fuzzy feedback controller where output is predicted with the delay of a unit sampling period. Analysis and design of the proposed controller is very easy, because it is synchronized with sampling time. Stability analysis is also possible when quantization exists in the implementation of fuzzy control architectures, and we show that if the trivial solution of the fuzzy control system without quantization is asymptotically stable, then the solutions of the fuzzy control system with quantization are uniformly ultimately bounded. Experimental results using a toy truck show that the proposed control system outperforms a conventional system.
Supervoxel-based Staircase Detection from Range Data
Oh, Ki-Won ; Choi, Kang-Sun ;
IEIE Transactions on Smart Processing and Computing, volume 4, issue 6, 2015, Pages 403~406
DOI : 10.5573/IEIESPC.2015.4.6.403
In this paper, we propose a supervoxel clustering-based staircase extraction algorithm to obtain poses and dimensions of staircases from a point cloud. In order to effectively reduce the candidate points and accelerate supervoxel clustering, large planes in the scene, such as walls, floors, and ceilings, are eliminated while scanning the environment. Next, staircase candidates with small planes are initially estimated using supervoxel clustering. Then, parameter values for the staircases are refined, and higher staircases that remain undetected due to occlusion are predicted and generated virtually. Experimental results show that staircases are detected accurately and predicted successfully.
Subjective Evaluation on Perceptual Tracking Errors from Modeling Errors in Model-Based Tracking
Rhee, Eun Joo ; Park, Jungsik ; Seo, Byung-Kuk ; Park, Jong-Il ;
IEIE Transactions on Smart Processing and Computing, volume 4, issue 6, 2015, Pages 407~412
DOI : 10.5573/IEIESPC.2015.4.6.407
In model-based tracking, an accurate 3D model of a target object or scene is mostly assumed to be known or given in advance, but the accuracy of the model should be guaranteed for accurate pose estimation. In many application domains, on the other hand, end users are not highly distracted by tracking errors from certain levels of modeling errors. In this paper, we examine perceptual tracking errors, which are predominantly caused by modeling errors, on subjective evaluation and compare them to computational tracking errors. We also discuss the tolerance of modeling errors by analyzing their permissible ranges.
Regularized Multichannel Blind Deconvolution Using Alternating Minimization
James, Soniya ; Maik, Vivek ; Karibassappa, K. ; Paik, Joonki ;
IEIE Transactions on Smart Processing and Computing, volume 4, issue 6, 2015, Pages 413~421
DOI : 10.5573/IEIESPC.2015.4.6.413
Regularized Blind Deconvolution is a problem applicable in degraded images in order to bring the original image out of blur. Multichannel blind Deconvolution considered as an optimization problem. Each step in the optimization is considered as variable splitting problem using an algorithm called Alternating Minimization Algorithm. Each Step in the Variable splitting undergoes Augmented Lagrangian method (ALM) / Bregman Iterative method. Regularization is used where an ill posed problem converted into a well posed problem. Two well known regularizers are Tikhonov class and Total Variation (TV) / L2 model. TV can be isotropic and anisotropic, where isotropic for L2 norm and anisotropic for L1 norm. Based on many probabilistic model and Fourier Transforms Image deblurring can be solved. Here in this paper to improve the performance, we have used an adaptive regularization filtering and isotropic TV model Lp norm. Image deblurring is applicable in the areas such as medical image sensing, astrophotography, traffic signal monitoring, remote sensors, case investigation and even images that are taken using a digital camera / mobile cameras.
Inter-layer Texture and Syntax Prediction for Scalable Video Coding
Lim, Woong ; Choi, Hyomin ; Nam, Junghak ; Sim, Donggyu ;
IEIE Transactions on Smart Processing and Computing, volume 4, issue 6, 2015, Pages 422~433
DOI : 10.5573/IEIESPC.2015.4.6.422
In this paper, we demonstrate inter-layer prediction tools for scalable video coders. The proposed scalable coder is designed to support not only spatial, quality and temporal scalabilities, but also view scalability. In addition, we propose quad-tree inter-layer prediction tools to improve coding efficiency at enhancement layers. The proposed inter-layer prediction tools generate texture prediction signal with exploiting texture, syntaxes, and residual information from a reference layer. Furthermore, the tools can be used with inter and intra prediction blocks within a large coding unit. The proposed framework guarantees the rate distortion performance for a base layer because it does not have any compulsion such as constraint intra prediction. According to experiments, the framework supports the spatial scalable functionality with about 18.6%, 18.5% and 25.2% overhead bits against to the single layer coding. The proposed inter-layer prediction tool in multi-loop decoding design framework enables to achieve coding gains of 14.0%, 5.1%, and 12.1% in BD-Bitrate at the enhancement layer, compared to a single layer HEVC for all-intra, low-delay, and random access cases, respectively. For the single-loop decoding design, the proposed quad-tree inter-layer prediction can achieve 14.0%, 3.7%, and 9.8% bit saving.
Scalable Multi-view Video Coding based on HEVC
Lim, Woong ; Nam, Junghak ; Sim, Donggyu ;
IEIE Transactions on Smart Processing and Computing, volume 4, issue 6, 2015, Pages 434~442
DOI : 10.5573/IEIESPC.2015.4.6.434
In this paper, we propose an integrated spatial and view scalable video codec based on high efficiency video coding (HEVC). The proposed video codec is developed based on similarity and uniqueness between the scalable extension and 3D multi-view extension of HEVC. To improve compression efficiency using the proposed scalable multi-view video codec, inter-layer and inter-view predictions are jointly employed by using high-level syntaxes that are defined to identify view and layer information. For the inter-view and inter-layer predictions, a decoded picture buffer (DPB) management algorithm is also proposed. The inter-view and inter-layer motion predictions are integrated into a consolidated prediction by harmonizing with the temporal motion prediction of HEVC. We found that the proposed scalable multi-view codec achieves bitrate reduction of 36.1%, 31.6% and 15.8% on the top of
parallel scalable codec and parallel multi-view codec, respectively.
Secure Transmission for Two-Way Vehicle-to-Vehicle Networks with an Untrusted Relay
Gao, Zhenzhen ;
IEIE Transactions on Smart Processing and Computing, volume 4, issue 6, 2015, Pages 443~449
DOI : 10.5573/IEIESPC.2015.4.6.443
This paper considers the physical layer security problem for a two-way vehicle-to-vehicle network, where the two source vehicles can only exchange information through an untrusted relay vehicle. The relay vehicle helps the two-way transmission but also acts as a potential eavesdropper. Each vehicle has a random velocity. By exploiting the random carrier frequency offsets (CFOs) caused by random motions, a secure double-differential two-way relay scheme is proposed. While achieving successful two-way transmission for the source vehicles, the proposed scheme guarantees a high decoding error floor at the untrusted relay vehicle. Average symbol error rate (SER) performance for the source vehicles and the untrusted relay vehicle is analyzed. Simulation results are provided to verify the proposed scheme.
Getting Feedback on a Compiler's Optimization Decisions, Enabling More Code-Optimization Opportunities
Min, Gyeong Il ; Park, Sewon ; Han, Miseon ; Kim, Seon Wook ;
IEIE Transactions on Smart Processing and Computing, volume 4, issue 6, 2015, Pages 450~454
DOI : 10.5573/IEIESPC.2015.4.6.450
Short execution time is the major performance factor for computer systems. This performance factor is directly determined by code quality, which is influenced by the compiler's optimizations. However, a compiler has limitations when optimizing source code due to insufficient information. Thus, if programmers can learn the reasons why a compiler fails to apply optimizations, they can rewrite code that is more easily understood by the compiler, and thus improve performance. In this paper, we propose a compiler that provides a programmer with reasons for failed optimization and recognizes programmer's additional information to obtain better optimization. As a result, we obtain performance improvement, i.e., reducing execution time and code size, by taking advantage of additional optimization opportunities.