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Three-dimensional (3D) ultrasound is extensively used in obstetrics and gynecology, and realistic rendering results can both enhance the accuracy of diagnosis and facilitate communication between obstetricians and pregnant women. This paper proposes an interactive and realistic rendering method using global illumination effects for 3D ultrasound images with low signal-to-noise-ratio (SNR) values....
Gallium Nitride (GaN) high electron mobility transistor (HEMT) is one of the promising candidates to replace existing switches in high-frequency high power converter applications. Reliability of GaN HEMT is an important issue for its commercial deployment. Online prognosis of this transistor ensures robust reliability for mission critical applications. Online prognosis requires identification of fault...
This paper proposes a blind interleaver period estimation algorithm by sorting error-less symbols. After finding the error-less symbols through the rank distribution of the square matrices, we construct a rectangular matrix by locating errorless symbols on the top of a matrix. By analyzing this matrix, we can estimate the interleaver period. Experimental results show that the proposed algorithm has...
The utilization of the Ka-band in satellite communication systems is assumed to grow in near future. Studied have been carried out at Korea Radio Promotion Association, Mokdong, Seoul from four years meteorological, Ka-band, sourced from the National Radio Research Agency (RRA). This paper reports the results obtained from Ka-band signal measurement at the Earth station situated in 37.54470N and 126...
In this paper, a hierarchical motion estimation (ME) algorithm is proposed for motion-compensated frame interpolation. The algorithm estimates the true motion vector field (MVF) of a video frame from its candidate MVFs, which are the results of full-search block-matching that utilizes multiple block sizes, by maximizing the posterior probability for the true MVF. Owing to probabilistic models utilized...
Semiconductor manufacture companies make an effort to reduce the test time for the test cost reduction until mass production starts. One of the effective test time reduction techniques is to improve the parallel test efficiency with the test program optimization by debugging on the automatic test equipment (ATE). However, given the time constraints of production schedules, the available time for the...
This paper considers the problem of decentralized, cooperative, and dynamic self-localization in wireless sensor networks. In particular, we are interested in a restrictive but very realistic scenario where few anchors are deployed and each anchor whose location is priori known may only communicate with very few agents (e.g. just one agent) whose location is unknown and to-be-estimated. The lack of...
This paper considers the problem of range-based decentralized localization in wireless sensor networks when the impulsive measurement noise is present. We develop a robust localization estimator requiring no a priori knowledge of the noise distribution. The approach to robust localization presented here follows the concept of M-estimation and is implemented in a decentralized manner thus suiting the...
Currently, the standard and regulations for specific absorption rate (SAR) testing of limb-worn devices specify the use of the flat phantom and the user's wrist is not considered. In this paper, the SARs for standard flat phantoms are calculated and compared with body shape phantom and anatomical human-body model. And we investigate the effect of wrist model during the SAR evaluation.
Reliable occluded skeletal posture estimation is a fundamentally challenging problem for vision-based monitoring techniques. This is due to several imaging related challenges introduced by existing depth-based pose estimation techniques that fail to provide accurate joint position estimates when the line of sight between the imaging device and the patient is obscured by an occluding material. In this...
We study random access for machine-type commu- nications (MTC) based on the notion of compressive sensing (CS) over a distributed input distributed output (DIDO) system consisting of a number of remote radio heads (RRHs) that are closely located to devices. In a DIDO system, each active device can have a signature that depends on its connectivity to RRHs and the signatures of active devices are estimated...
A minimum mean square error estimation (MMSE) using a virtual pilot channel estimation scheme was proposed by our researchers for improving the error performance of the IEEE 802.11p. However, compared to the STA channel estimation scheme, the MMSE scheme cannot provide an acceptable error performance in a low SNR region. To alleviate this, we propose an adaptive channel estimation scheme, which selectively...
In this paper, a finite time continuous terminal sliding mode controller with perturbation estimation for a Stewart platform is developed. Based on the robot's dynamic model, which was formulated in the active joint space, a continuous sliding mode type control law was designed to specify a finite time reaching law and a finite time sliding surface. In addition, it incorporates an estimated uncertainty...
In a virtualized heterogeneous cluster, for a distributed parallel application which runs in multiple virtual machines (VMs) concurrently, there are a huge number of possible ways to place its VMs. This paper investigates a performance estimation technique for distributed parallel applications in virtualized heterogeneous clusters. We first analyze the effects of different VM configurations on the...
This paper proposes eye-diagram estimation methods for voltage-and probability-dependent pulse amplitude modulation (PAM4) signal on stacked through-silicon vias (TSVs). To satisfy demands on a high-speed and small form factor, the number of TSVs and the data rate on the TSVs have been increased. The number of stacked TSVs is related to the electrical performance due to its electrical length. The...
This paper involves trajectory planning for a low-cost UAV with limited sensing capability. The UAV must be able to safely reach its destination provided it can only gather limited information about its environment. We apply the velocity obstacle approach since it is applicable even with our model's limitation. When an obstacle is detected, the only information available is the distance to the obstacle...
This paper introduces a work for localization of underwater acoustic source using two hydrophones. The work is for acoustic pinger-based transit task as a part of 2016 Maritime RobotX Challenge. The designed scheme calculates direction of arrival based on time difference of arrival. Calculation of the direction of arrival is conducted two times at two different positions. With the two direction of...
This paper presents a 3-D search grid allocation algorithm for source localization and beam steering. Data-driven beam-steering systems can benefit from algorithm designs that restrict the processing to a finite set of predefined direction of arrival (DoA) grid points. However, this scenario requires careful definition of the distribution of the search grid points to achieve high spatial filtering...
This paper proposes a moving object detection algorithm for a monocular dashcam mounted on a vehicle. To deal with dynamic changes of the scene from the dashcam, we propose a new scheme inspired by human-attention inclination for change detection. Humans do not build a detailed visual representation and perceive a change of the scene based on the structure of an interesting region. In this perspective,...
Nonnegative matrix factorization (NMF) is a matrix factorization technique that might find meaningful latent nonnegative components. Since, however, the objective function is non-convex, the source separation performance can degrade when the iterative update of the basis matrix is stuck to a poor local minimum. Most of the research updates basis iteratively to minimize certain objective function with...
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