A general class of sliding surface for sliding mode control

In the conventional sliding mode control, the relative degree of the chosen sliding surface is usually one. This paper addresses a general class of sliding surface whose relative degree is no longer restricted to one. We show that when the relative degree is more than two, it is inevitable that there will exist a limit cycle for the nonlinear sign function. And for the case of relative degree two the system possesses poor phase margin. However, these disadvantages can be remedied remarkably by smoothing out the control nonlinearity in a suitable boundary layer with a saturation function that ensures asymptotic stability of the overall system     

Smart remote-controller designed with combining speech-recognition microprocessor and wireless sensor networks

Microsystem Technologies - The objective of this study was to design a smart remote-controller combining with speech-recognition and self-learning function Module and blue-tooth wireless sensor...     

Ambiguity-free edge-bundling for interactive graph visualization

Graph visualization has been widely used to understand and present both global structural and local adjacency information in relational data sets (e.g., transportation networks, citation networks, or social networks). Graphs with dense edges, however, are difficult to visualize because fast layout and good clarity are not always easily achieved. When the number of edges is large, edge bundling can be used to improve the clarity, but in many cases, the edges could be still too cluttered to permit correct interpretation of the relations between nodes. In this paper, we present an ambiguity-free edge-bundling method especially for improving local detailed view of a complex graph. Our method makes more efficient use of display space and supports detail-on-demand viewing through an interactive interface. We demonstrate the effectiveness of our method with public coauthorship network data.     

A neural net-based time-delay compensation scheme and disturbance rejection for pneumatic systems

In practical electro-pneumatic or hydraulic servo mechanism, there is usually an unavoidable operating delay time in the solenoid valves. This may sometimes cause closed-loop instability if the time delay is not treated carefully in the control system designs. Furthermore, pneumatic actuators can offer high performance at low cost, but are often suffered from external disturbances depending on the operating conditions. This paper proposes a non-model-based design approach for pneumatic actuating systems. In the proposed control system, a gain scheduled fuzzy-PID controller ensures tracking performance an adaptable wavelet neuro compensator compensates for time-delay of the control valve, and a disturbance rejecter diminishes influence from load changes. A condition ensuring the closed-loop stability is derived. The proposed design is experimentally verified to show its effectiveness.     

A real-time image processor with combining dynamic contrast ratio enhancement and inverse gamma correction for PDP

Inverse gamma correction must be performed before displaying the received video signal because alternating current plasma display panel (AC PDP) has a linear output luminance response to a digital-valued input. At the same time contrast ratio enhancement is necessary for improving the image quality of display devices. The histogram equalization (HE) is an important contrast ratio enhancement method. But sometimes HE can produce unrealistic effects in images. In this paper, a new method of combining dynamic contrast ratio enhancement and inverse gamma correction for AC PDP is proposed. The dynamic contrast ratio enhancement and the inverse gamma correction are realized simultaneously in the proposed method. Furthermore the over-enhancement caused by the traditional HE can be avoided. A real-time image processor with the proposed method was designed and implemented. Simulations and experimental results on a 50-in. AC PDP show that the image quality of AC PDP can be improved obviously.     

Autonomous Vehicle Parking Using Hybrid Artificial Intelligent Approach

This paper devotes to design and implement a hybrid artificial intelligent control scheme for a car-like vehicle to perform the task of optimal parking. The parallel parking control scheme addresses three issues: trajectory planner, decisional kernel, and trajectory tracking control. Design of the control scheme consists of several techniques: genetic algorithm, Petri net, and fuzzy logic control. The genetic algorithm is used to determine the feasible parking locations. The Petri net is used to replace the traditional decision flow chart and plan alternative parking routes especially in global space. The parking routine can be re-performed if the initially assigned route is interfered or when the targeted parking space has been occupied. The fuzzy logic controller is used to drive the vehicle along with the optimal parking route. The proposed scheme is put into several scenarios to test and verify its applicability and to manifest its distinguished features.     

Constructing intelligent living-space controlling system with blue-tooth and speech-recognition microprocessor

This study is a creative and initial work focused on designing an intelligent living-space with automatic control system to control all home-appliances in the living-space. First of all, the system was constructed with two parts; one is remote-control mechanism with blue-tooth (BT) module mounting on both master controller module (remote-controller) and slave receiver module (on every home appliance), the other is to design the remote-controller with speech-recognition and function of self-learning human voice so that people could directly give command to control appliances Therefore, the technique of BT communication and speech-recognition microprocessor became the most important in this study. After implementing the finished projects, the whole system was proved to be great successful and the final result of this research has achieved both National patent authorized by Patent Bureau of Taiwan Economy Ministry, and The First Prize of National Award of Practical Projects Design authorized by Taiwan Education Ministry.     

基于辅助特征的Web服务QoS预测

随着互联网以及Web服务技术的快速发展,相同功能的Web服务数量越来越多.在构建面向服务的应用时,服务质量（QoS）作为Web服务的非功能特性开始被越来越多的用户所重视.为了向用户推荐高质量的服务,首先我们需要对服务质量进行预测.现今有很多关于Web服务QoS预测的工作,这些研究大都关注在建模方法的优化上,忽视了辅助特征对于QoS预测的影响.着重分析辅助特征对于QoS预测的影响,例如服务类别和用户地理位置.为了实现此目标,基于因子分解机（Factorization Machines）设计并构建了一个统一的QoS预测架构,该架构可以灵活、方便地考虑进多个辅助特征.结合服务类别和用户地理位置这两类辅助特征,提出了一种QoS预测方法,并通过在真实数据上的实验证明了我们的方法的优越性.     

一种高效的H.264反变换反量化结构设计

在分析H.264反变换反量化算法的基础上,提出了一种高效的H.264反变换反量化硬件结构.在反变换中,采用了一个可重构的一维IDCT变换结构;在反量化中,采用了4个反量化单元的并行结构,并通过LUT取代了占用电路面积大的模运算和除法运算;在整体结构设计中,采用了门控时钟方案和流水线技术.结果表明,本设计可提高系统输出能力和降低硬件功耗,并满足1080i高清码流实时解码的要求.     

Scenario analysis on medical treatments of patients with knee osteoarthritis

The Journal of Supercomputing - In developed countries, osteoarthritis (OA) has been among the ten most severe disability diseases in recent years. Approximately, 10% of the world’s...