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For the limited application and shortcoming of FCM (Fuzzy C-Means) clustering algorithm, an improved automatic FCM clustering algorithm is put forward. First, the fuzzy equivalent matrix is achieved by fuzzier the standard uniform data sets; then, the objective function of the improved automatic FCM clustering algorithm is optimized by the amendment of membership function and distance measuring function;...
In this paper, we review the state-of-the-art in neural interface recording architectures. Through this we identify schemes which show the trade-off between data information quality (lossiness), computation (i.e. power and area requirements) and the number of channels. We further extend these tradeoffs by band-limiting the signal through reducing the front-end amplifier bandwidth. We therefore explore...
In this work, we study distributed gain allocation to maximize the achievable sum-rate in non-regenerative multihop networks with multiple users and multi-antenna nodes. The source and relay nodes are constrained to forward linear transformations of their input and calculate their transformation matrices based on locally available channel state information and limited feedback from the destination...
Fixed-point refinement of signal processing systems is an essential step performed before implementation of any signal processing system. Existing analytical techniques to evaluate performance of fixed-point systems are not applicable to the errors due to quantization in the presence of un-smooth operators. Thus, it is inevitable to use simulation to evaluate performance of fixed-point systems in...
The aggressive technology scaling has made it increasingly difficult to design high-performance, high-density SRAM circuits. In this paper, we propose a new SRAM design methodology that is referred to as maximum-information storage system (MISS). Unlike most traditional SRAM circuits that are designed for maximum cell density, MISS aims to maximize the information density (i.e., the number of information...
Short-loop process monitoring structures (usually simple device I - V, C - V measurements made after M1 fabrication) are commonly put in wafer scribe-lines. These test structures are almost always design independent and measured/monitored by the foundry to keep track of process deviations. We propose a design-dependent process monitoring strategy which can accurately predict design performance based...
To reduce accidents and increasing safety, thereby saving lives are one of the context of driver assistance system, among the complex and challenging tasks of future road vehicle is road lane detection. Lane detection is difficult problem because of varying road condition that one can encounter during driving. In this paper a hybrid approach on captured images using ant colony optimization (ACO) on...
It is known that in a cognitive random wireless network, the aggregate interference from secondary network is not Gaussian. Using Shannon's bound for the capacity of general additive channels, Gaussian interference/noise is the worst case due to its maximum entropy property which leads to minimum capacity. Therefore, it is favorable to have the distribution of interference as far from Gaussian as...
The problem of model-based fault detection is studied with application of the Kalman filter for residual generation. The filter has two important incoming parameters, the state noise and the output noise covariance matrices, which tuning is analyzed in order to optimize the fault detection performance. The problem is formulated through an appropriate optimization criteria and applied to the oscillatory...
Motivated by the demand and the low utilization of spectrum resource, cognitive radio appears as an alternative for the present spectrum distribution policy. Spectrum sensing is the key procedure and energy detector is the most commonly used algorithm in spectrum sensing. The communication signal often varies by time, which causes the spectrum sensing to be inaccurate. In this paper, we use window...
This research gives a new improvement scheme of Lorenz signal based on chaotic masking secure communication, which improves the notable features of Lorenz signal and the confidentiality of transmission signal in channel. The scheme here mainly changes the properties of chaotic signal in both time and frequency domains, which makes the masking signal in channel more like noise. This paper also does...
This paper addresses the problem of joint optimization of subchannel selection and spectrum sensing time for multiband cognitive radio networks. In particular, we construct a multiband spectrum sensing framework, and derive the probabilities of detection and false alarm taking the different subchannel gain into account. Furthermore, we formulate the multiband sensing as a two-parameter optimization...
This paper proposes a hybrid framework in the study of ultrasound image segmentation that combines bottom-up (BU) with top-down (TD) strategy. The BU part with high precision constructs a weight matrix combining region- and edge- cues in terms of a novel idea of designing support regions, whereas the TD part incorporates location-driven prior knowledge from the doctor and spatial coherence information...
This paper mainly introduces the edge extraction algorithm of thenar palm print image based on wavelet modulus maxima multi-scale. First, some classical edge detection operators and the Hough transform are introduced. And then the paper focuses on the wavelet modulus maxima multi-scale edge detection algorithm. In this algorithm, a multi-scale Gaussian edge detector is constructed. According to cross-scale...
Wireless sensor networks (WSN) have been proposed as a solution to environment sensing, target tracking, data collection and others. WSN collect an enormous amount of data over space and time. The objective is to estimate of a parameter or function from these data. Learning is used in detection and estimation problems when no probabilistic model relating an observation. This paper investigates a general...
This paper describes a graphical method for the optimization of Quadrature Voltage Controlled Oscillators (QVCOs) based on the coupling of two LC-tank VCO. A three-dimensional phase noise analysis diagram and graphical optimization approach is presented, to optimize QVCO phase noise while satisfying design constraints such as power dissipation, tank amplitude, tuning range and start up condition....
Multi-user detection (MUD) techniques will be adopted in the future wired and wireless communication system. It is known that quantum detection techniques promise efficient optimal solutions to this NP (non-polynomial) hard problem in classical domain. "Discrete coherent state"(DCS) approximation method is a practical model for solving the mixed-state detection problem. In this paper, we...
In this work we study improvements of the high-frequency noise performance of HBT devices by means of layout and spacer optimization. Using an equivalent circuit, we identify the dominant noise sources and demonstrate that the reduction of the base-resistance induced thermal noise by means of dotted emitters in combination with lowering the edge contribution of the base-emitter capacitance (e.g. by...
Networks consisting of stationary data sources and sinks linked by mobile ferries allow high-latency communication over large distances. Network performance depends on the trajectory of the ferry, which usually should aim to take the shortest path that allows it to exchange all waiting data with each node. An accurate model of the system would permit optimal trajectory planning, but such a model is...
In our country, the productivity of auto parts production line is improved too much emphasis on equipment, technological innovation while ignoring human factors. Based on human factors theory, describing the people in the system operation characteristics, the optimization problem as the person's job to pursue an important objective, so that people who are working in this condition can be efficient,...
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