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In this study, the effect of pad shape on current density and temperature distributions in solder joints has been investigated by three dimensional thermo-electrical finite element analysis. The simulation results show that square, hexagonal, octagonal and rounded pads with the same thickness/volume generate different current density and temperature distributions. The maximum current densities in...
This study focuses on the development of a highly reliable solder bumping solution by the optimization of bump height and shape for flip-chip mounting of large die directly on PCB without the use of underfill. To achieve the goal, an elongated solder joint with an optimized shape has been developed that demonstrated far superior board-level thermo-mechanical reliability to that of the conventional...
Virtual modeling and simulation technology about teleoperation without time delay for Dual-arm Free Flying Space Robots (DFFSR) have been mainly researched. First, present research situation on teleoperation time delay problem has been described. Then, solution to time delay based on Virtual Reality (VR) Preview technology has been presented. Finally, teleoperation system for DFFSR without time delay...
In order to achieve higher data rates and more reliable QoS, coordinated multipoint transmission/ reception (CoMP) is raised in 3GPP release 10 and beyond. Cooperative transmission can effectively improve the performance of cell-edge users with the cost of exchange load between service eNodeB and cooperative eNodeB. Previous work of 3GPP release 11 has noticed the modeling of cooperative backhaul...
With the rapid progress of 3GPP LTE/LTE-A's standardization, research about coordinate multi point reception / transmission (CoMP) is very popular. However, topics about CoMP were freezed in around 2009 by 3GPP, so further research and performance analysis about key techniques in CoMP is very little. In this paper, we studied the dynamic cell selection method which is presented in some proposals [1],...
This paper presents a new method to compute enveloping grasps with a multi-fingered robotic hand. The method is guided by the idea that a good grasp should maximize the contact surface between the held object and the hand's palmar surface. Starting from a given hand pregrasp configuration, the proposed method finds the hand poses that maximize this surface similarity. We use a surface descriptor that...
This paper presents method used hand gesture recognition in human-computer interaction and control. Nowadays in dataglove-driven motion capture field, researchers preprocess the raw sensor data of the glove with calibration methods for acquiring a high precision in the VR environment. But there are still alternative solutions. Some machine learning algorithms, for example the self-organizing map method,...
When using dataglove for capturing the motion of human's hand, the cross-over effects in relative sensors can severely affect the captured data accuracy. In this paper, we present a novel method for eliminating the cross-over effects in these sensors using natural neighbor interpolation. The goal of our method is to establish a mapping between actual angles of the target sensors and the readings from...
A central problem in the analysis of motion capture (MoCap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should facilitate the recognition, synthesis, and characterization of actions. We propose an unsupervised learning algorithm for automatically decomposing joint movements in human motion capture (MoCap) sequences into shift-invariant basis...
In cognitive radio networks (CRN), underlay spectrum sharing allows secondary users (SUs) to utilize the spectrum on which the primary users (PUs) in primary radio networks (PRN) are working at the same time, without introducing intolerant interferences. In this paper, we study the joint transmission power and time allocation in CRN with underlay spectrum sharing technology. To maximize the total...
Different biological labs conduct similar experiments on same diseases. It is highly desirable to have a better model based on more experimental results than that on a single result. In this paper, we propose a method for integrating microarray data from multiple sources for building classification models. To test the method, we use three real world microarray data sets from different labs with different...
Social signal processing is an emerging field that gains more and more attention. As a key element in the field, visual perception of human motion is important for understanding human behavior in social intelligence. Motivated by the hypothesis of muscle synergies, we proposed action synergies for automatically partitioning human motion into individual action segments in videos. Assuming the size...
In this paper, some key issues of a 3-DOF parallel manipulator named Delta-S is developed, such as error modeling, sensitivity analysis, and accuracy synthesis. Firstly, the characteristics of Delta-S are analyzed and its error mapping function is formulated in the following. Secondly, the sensitivity analysis is carried out to find the source errors which affect the pose accuracy of the end-effecter...
This paper is dedicated to building a novel evaluation framework for model-based hand tracking algorithms. All in all, two models are presented as an evaluation framework. The first one is called SHGM (standardized hand gesture model) model, used as a standard to be compared, and another one is called OMM( quantitated metric model) model, by which comparison is carried out. In our generating algorithm,...
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