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As a recommender in the reputation systems can submit inaccurate recommendations for a variety of reasons, the trustworthiness degree of recommending (TDR) must be critically assessed. In this article, two mechanisms, i.e. the virtual verifying and time decaying, are introduced to help calculating TDR. The former is aimed to solve the accuracy and efficiency problem caused by insufficient evidences...
This work presents a design of continuous-time current comparator with ultra low input impedance, which especially benefits on enhancing the accuracy of pulse-width-modulation (PWM). The proposed design reduces the input impedance by utilizing common-gate structure as input stage. The further use of a common-source feedback structure also enables extremely reduction of the input impedance. In addition,...
A class of quasi-cubic Bezier curves (briefly QC-Bezier curves) with two shape parameters is presented in this paper. The QC-Bezier curves retain the main superiority of cubic Bezier curves. Unlike the existing techniques based on C-Bezier methods which can approximate the Bezier curves only from single side, the QC-Bezier curves can approximate the Bezier curve from the both sides. The curves include...
A rapid, self-adaptive neural network modeling of fluorescence spectra for automatic diagnosis is built up in this paper. Against that the identification of fluorescence spectra can not be better solved by the neural network model featuring flat structure, a neural network integrated model with multiple-structure is proposed in this paper which The font-end of the model is the data preprocessing....
We present a low-bandwidth analog circuit for implementing an adaptive biphasic leaky integrate-and-fire neuron. This neuron circuit is targeted for signal compression in neural recording applications. Unlike other adaptive neuron circuits, this adaptive integrate-and-fire neuron supports signal reconstruction with known threshold voltages. Matlab simulations show promising bandwidth reduction comparing...
With the rapid growth of web 2.0, online product reviews generated by users are becoming increasingly useful for customers to make purchase decisions. In this paper, we focus on the problem of classifying user reviews as recommended the product or not. The proposed method first mines the product features and relevant opinions, and then determines the overall sentiment orientation of the review based...
In recent years, Orthogonal Frequency Division Multiplexing (OFDM) technology has been widely used in many wireless communication systems, including LTE and WiMAX. Bandwidth is always precious over wireless channel, so it is important to have an effective bandwidth arrangement. On a multi-user system, each user needs to share entire bandwidth with others. In order to enhance the transmission rate,...
A neuronal recording system for brain-machine interfaces (BMI) based on asynchronous biphasic pulse coding is described. A recording experiment comparing, in parallel, a commercial recording system (Tucker-Davis Technology) and the UF's custom solution (FWIRE) is set up to compare performance. The novel aspect of the UF system is that the analog signal is represented by an asynchronous pulse train,...
CAN bus automotive network control system hardware flat roof was set up based on DSP56F807. CAN sending and receiving procedure were wrote with C language. The lighting, direct current electromotor, electromagnetic actuator control node tests and can bus PRI intercession test etc were completed in laboratory. Experimental results prove that this system simulated CAN bus application in automotive network...
This research investigates a novel data reduction scheme using adaptive leaky refractory integrate-and-fire (ALRIF) neurons to generate pulses for an implanted neural recording system in wireless transmission applications. The wireless implanted multi-channel recording system imposes many constraints on the system but the major constraint is on low bandwidth. Other constraints including low bandwidth...
Digital Image Elasto Tomography (DIET) is a non-invasive elastographic breast cancer screening technology, based on image-based measurement of surface vibrations induced on a breast by mechanical actuation. Knowledge of frequency response characteristics of a breast prior to imaging is critical to maximize the imaging signal and diagnostic capability of the system. A feasibility analysis for a non-invasive...
In this work, we propose a wide band linear voltage-to-current converter (VIC) with mobility degradation compensation. By use of NMOS output stage and grounding NMOS input stage, PSRR enhances as well as body effect decreases. In addition, through utilizing the sum of two current sources operate in linear and saturation region respectively, the nonlinearity of complementary parabolic voltage to current...
This paper applies the selective harmonic elimination (SHE) technique to determine the switching angles for a multilevel inverter that cooperated with specially connected transformer, zig-zag connection. With the ability to direct controlling harmonics, SHE technique has the adaptability to associate with apparatus which are congenitally immune to specific harmonics, such as the zig-zag connection...
In this paper we construct a new class of nonlinear chaotic maps for secure cryptosystems. These maps can overcome the security holes brought by the ldquopiecewise linearityrdquo of the previous piecewise linear chaotic maps (PWLCM) due to a fact that the chaotic sequences generated by the derived iterative system based on the proposed maps are proved to have perfect dynamic properties, such as uniform...
P2P worms have posed heavy threat to P2P networks. In this paper, we address the features of reactive worm propagation and further model propagation of reactive worms in applying epidemiology. Based on the analysis of the model presented, we obtain a condition for the global stability of the worm free equilibrium. The model and the condition are validated through large scale simulations, which show...
A neuronal recording system for brain-machine interfaces (BMI) based on asynchronous biphasic pulse coding is described. It demonstrates the first step in the development of a completely implanted wireless solution with a fully integrated circuit architecture. A recording experiment comparing, in parallel, a commercial recording system (Tucker-Davis technology (TDT)) and the UF's custom solution (FWIRE)...
A neuronal recording system for brain-machine interfaces (BMI) based on asynchronous biphasic pulse coding is described. It demonstrates the first step in the development of a complete implanted wireless solution with fully integrated circuit architecture. A recording experiment comparing in parallel a commercial recording system (Tucker-Davis Technology (TDT)) and the UFs custom solution (FWIRE)...
We propose to improve the spatial resolution of electroencephalography (EEG) using a differential recording methodology. Conventional EEG (CEEG) systems independently amplify and digitize the signal from each electrode. The Differential EEG (DEEG) approach amplifies the minute difference signal between neighboring electrodes which greatly eases the burden on the subsequent amplification and data conversion...
In order to increase the lifetime of entire wireless sensor network, the task scheduling in the network demands to achieve as far as possible the shortest task completion time, the lowest level of energy consumption and the highest level of balanced use of energy under condition of limitation in energy of nodes. Therefore, traditional multiprocessor Directed Acyclic Graph (DAG) scheduling algorithm...
We analyse different worm and patch propagation models along with the ones we have developed and evaluated as a part of our ongoing passive P2P worm & patch modelling project. This is followed by a brief discussion on worm detection mechanisms proposed by various authors. Towards the very end of this article, we propose a distributed framework for passive worm throttling in P2P networks and discuss...
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