: In this paper, we propose two dynamic error control schemes and apply them to the multichannel data
communication system. The proposed schemes are based on the basic Stop-and-Wait ARQ and Selective Repeat ARQ
protocols, The former and latter are used for the error controls in a round-trip time and among the multiple channels
in a slot, respectively. The state of each channel is assumed as Markov chain with two states. The operations of the
proposed schemes are described and their performances are evaluated through computer simulation. The numerical
results show that the performances of the proposed schemes are improved remarkably comparing with the traditional
This paper presents a design and performance analysis of tunable RF front end circuits such as RF band
pass filter and VCO for multiband applications. The tunable element is an active inductor, built by MOS transistors.
It is attractive due to its tunable and larger inductance values. The RF band pass filter is realized using active inductor
with suitable input and output buffer stages. The tuning of center frequency for multiband operation is achieved
through the controllable current source of the active inductor. The tunable range of the band pass filter varies from
3.9 GHz to 12.3 GHz. The simulation results of band pass filter have minimum noise figure of 23 dB and has less
power dissipation of 2.83mW. The simulated IIP3 is -9.6dBm for 1st and 3rd order frequency of 7.94 GHz and 7.93
GHz respectively. The VCO designed using active inductor has the tuning range of 0.384 GHz to 1.620 GHz with the
phase noise of -139dBc/Hz at the offset of 1MHz. It consumes less power of 1.754mW with the figure of merit of
189dBc/Hz. The designed active inductor, RF band pass filter and VCO are simulated in 180nm CMOS process using
Synopsys simulation tool.
In this paper, a novel license plate recognition approach for community monitor using hausdorff
distance is proposed. This method reduces the problem of rotation and translation transformation between
the license plate and model rely on finding the minimizing the hausdorff distance between two point sets.
The algorithm utilizes color and edge characters, meanwhile, combines some conventional image preprocessing
methods to get several regions of interest, and the least trimmed square hausdorff dis-tance is computed
to select the validity license plate and recognize the detail characters according to a well-organized
digital models and the match threshold is defined in ad-vance. The result of algorithm shows some tolerant
of small location errors occurring in region of interest that has good performance and efficiency.
At present, Boolean algebra based computations by the use of silicon based semiconductor technology
are irreversible in nature. This is due to the mismatch of number of inputs and outputs. Reversible logic circuit maps
unique input to the output and ensure one to one mapping and basis for emerging applications like low-power design,
quantum computation, optical computing, bioinformatics and nanotechnologies. In computing paradigm, Arithmetic
Logic Unit (ALU) is one of the computing intensive building blocks of the computer that performs arithmetic and
logical operations. This work understands and nurtures the necessity of reversible ALU for future revolutionary
computing technologies. In this paper, a 4x4 reversible gate which alone performs arithmetic and logic operations is
proposed and compared with other reversible gates like TSG, HNG and MKG, in terms of quantum cost, I/O lines
and Taffoli gates. The results of different synthesis methods of 4x4 ALG using Revkit tool are studied. Proposed gate
performs better than existing methods and ensures maximum logical operations like full adder, full subtractor and all
logical operations with less hardware cost where other existing gates are not viable.
This work describes the design and development of controllers based on artificial intelligence applied
to a newly designed mobile robot type-vehicle to control behavior for monitoring wall. Two approaches have been
developed and optimized to achieve this task. The first one is based on Fuzzy logic. This control algorithm combines
different sensory information and provides a suitable control command allowing the mobile robot to follow the wall
deviations. The second approach consists of the application of a hybrid-type Neuro-Fuzzy ANFIS controller for the
same task. An important feature of this approach is that the controller combines the advantages of both Fuzzy logic
and Neural Networks.The simulation results are presented and implemented with VHDL using ANFIS architecture.
Tibet has a long and glorious cultural history, and the number of its abundant historical documents is only
less than that of Han Race in China, of which Tibetan words were created during the 7th century and have witnessed
large-scaled normalization three times in the history. As a statistical analysis of words’ properties provides basic data
for the study of words, the statistical analysis of Tibetan words’ properties can be considered as a fundamental task of
Tibetan information processing. This paper carries out the frequency statistics of basic components from 2,129,234
Tibetan corpuses, and analyses the statistical data. It is the first time to conduct an analysis on basic components of
large modern Tibetan corpus, and it has important value for the research of Tibetan linguistics and Tibetan information
Nowadays, along with the development of technology of the high-speed Analog to Digital Converter
(ADC) and Field Programmable Gate Array (FPGA), the design and the implementation of high-speed and highaccuracy
data acquisition system is also becoming economic and feasible. In this paper, we designed a high-speed,
high-precision, portable data acquisition and processing system in Altera Corporation cyclone II FPGA platform, and
achieved the communication between the system and PC via USB2.0 interface. The whole system is divided into
four parts: the A/D module, the FPGA module, the USB module and the LABVIEW (Laboratory Virtual Instrument
Engineering Workbench) module. We used AD9467 as the core chip of the A/D module, and the characteristics and
specific circuit design of AD9467 are explained in detail; the FPGA module is the core of the entire system, which is
not only the center of the signal conditioning but also the control center to ensure the whole system to work in an
orderly manner. We also introduced the concrete realization of the design of clock part, LVDS converter module and
USB control module. The programming language used verilog hardware description language. And then we
introduced the design of the USB module in detail where the Lab VIEW module was the module of human-computer
interaction that introduced the concrete realization of the PC display software using G language. Finally, we
debugged and tested the entire system, the results show that the design can work very well and meet the requirements
of the system design.
Image mining is concerned with knowledge discovery in image databases. With the advance of
multimedia technology and growth of image collections, it is becoming crucial to analyze the compactness of image
data and apply it to image mining. In this paper, we study the class compactness and boundary compactness of image
data, which are used in image classification and data confining, respectively. The data confining procedure produces
a relevance graph representing relevant image pairs and their relevancy. Based on relevant image pairs, a manifold
learning technique is applied to compute distances between images and manifolds of images. Image retrieval is based
on these distances. The effectiveness of the proposed approach has been validated by experiments on real-world
In reverse supply chain under our study, there are four supply disruptions. As the source of the reverse
supply chain, the supply disruption of used-products between end-consumers and collector will largely affect the
profits of the reverse supply chain. In order to manage the profits of the reverse supply chain, we give an expanded
stock-flow diagram with this supply disruption of the reverse supply chain by using system dynamics methodology,
show the simulation results of collector’s profit, disassembly center’s profit, remanufacturer’s profit and the mean of
their profits under different disruption periods. By analyzing the simulation results, we present a strategy to ensure the
members positive profits. The strategy is adding another channel of purchasing used-products for the collector. We
show the simulation results of the members profits and their mean after using the strategy, and give the suitable range
of purchase quantity of used-products for the strategy.
In this paper we introduce a graph grammar based method to fuse the low level features and apply them to
object detecting and tracking. In our algorithm, the graph grammar rules are used to detect the object in the beginning
of the video sequence and then dynamically adjust the tracking procedure. Our tracking algorithm consists of two
phases: key points tracking and tracking by graph grammar rules. The key points are computed by using salient level
set components. All key points, as well as the colors and the tangent directions, are fed to a Kalman filter for object
tracking. Then the graph grammar rules are used to dynamically examine and adjust the tracking procedure to make it
robust. The effectiveness of the algorithm has been demonstrated by experiments.
Human computer interaction technology has been applied too much in Automated Teller Machine’s design,
such as interface design. In this paper, we have done a survey on human computer technology for ATM and presented
an investigation of the ATM’s design on the precious literatures. The user experience test and evaluation of the
prototype are reviewed and discussed in details, and we find the defects and the improvement of the ATM’s design. In
the end, we propose some suggestions and discussion in future works.
Text to speech system(TTS) ,which converts text into speech through computer and then output the speech,
is a popular research object in the realm of speech processing in recent years．A successful TTS outputs speech with
clear timbre and natural fluency．TTS is composed of Text analysis, prosody control and speech synthesis modules.
Text analysis module is in the front end, which gives the linguistics and phonetics text detailed information for the
speech synthesis. This paper, based on the Tibetan written, pronunciation characteristics and pronunciation mechanism,
gives the basic structure of TTS that is based on large-scale speech corpus and study of standardization, word
segmentation and voice tagging technologies for Tibetan TTS.
The adaptive interference cancellation algorithms(AICA) is proposed in this paper. The Matlab simulation
results of the performance of six different kinds of AICA are presented. According to the comparison of the simulation
results, especially the usage of resource, convergence rate and effects of cancellation, the NLMS adaptive interference
cancellation algorithm and frequency-domain block LMS algorithm are selected, which are suitable for the further
design on FPGA. By simulating the functions by Modelsim, and analyzing the PSD curve and the constellation of
output signals, the adaptive interference cancellation algorithm system based on frequency-domain block LMS have
achieved expected effect. The frequency-domain block LMS adaptive echo interference cancellation system has better
flatness on the in-band PSD curve and better convergence effect on the constellation. Therefore, frequency-domain
block LMS adaptive interference cancellation algorithm is chosen as the design with high performance-price ratio.
The more points there are, the more obvious advantages it will perform.
A switched-capacitor-based battery equalizer using level-shift circuits is proposed in this paper. In conventional
equalizers using diode switches, the threshold voltage of diode switches causes a decrease in power efficiency.
Unlike conventional equalizers, the proposed equalizer alleviates the threshold-voltage-drop of switches by using
level-shift circuits. Therefore, the proposed equalizer can improve power efficiency. The properties of the proposed
equalizer were investigated through SPICE simulations, theoretical analyses and experiments. SPICE simulations
showed that 1. the proposed equalizer can improve power efficiency more than 40 % when output load is 1 k
and 2. theoretical results corresponded well with SPICE simulation results. Therefore, the derived theoretical formulas
will be helpful to estimate circuit properties of switched-capacitor-based battery equalizers. Furthermore, the experiments
showed that the proposed equalizer can offer higher cell voltage than the conventional equalizer. Therefore, the
proposed equalizer can achieve high power efficiency.