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Anisotropic diffusion filters are one of the best choices for speckle reduction in the ultrasound images. These filters control the diffusion flux flow using local image statistics and provide the desired speckle suppression. However, inefficient use of edge characteristics results in either oversmooth image or an image containing misinterpreted spurious edges. As a result, the diagnostic quality...
Object detection is a challenging task in visual understanding domain, and even more so if the supervision is to be weak. Recently, few efforts to handle the task without expensive human annotations is established by promising deep neural network. A new architecture of cascaded networks is proposed to learn a convolutional neural network (CNN) under such conditions. We introduce two such architectures,...
The CNN-encoding of features from entire videos for the representation of human actions has rarely been addressed. Instead, CNN work has focused on approaches to fuse spatial and temporal networks, but these were typically limited to processing shorter sequences. We present a new video representation, called temporal linear encoding (TLE) and embedded inside of CNNs as a new layer, which captures...
In present work, secure communication scheme for digital images based on discrete time unknown input observer (UIO) design blended with discrete time chaotic encryption is presented. Chaotic signals are pseudo random signals with no periodicity over infinite length. However, the series can be generated with the precise knowledge of the few parameters like system parameters and initial conditions of...
This paper presents a 28.05Gb/s transceiver in 32nm SOI CMOS technology. The receiver employs a quarterrate triple-speculation architecture. Techniques are introduced to adapt for mismatches in tap weights, gains and sampling phases. Error-free signaling at 28.05Gb/s is demonstrated with the transceiver over a 48dB loss backplane channel. In a four-port configuration, the power consumption at 28.05Gb/s...
In this paper, a frequency reconfigurable microstrip slot antenna for S and C band of microwave application is presented. The frequency reconfiguration is achieved due to the change of current distribution on the ground plane of microstrip slot antenna. Thus, RF PIN Diode is used as switching device to change slot length for altering current distribution on the ground plane. Two rectangular slots...
In present work, reduced order unknown input observer is designed for a class of discrete time nonlinear systems. In reduced order observer design, state estimates are developed only for those states which are not directly measured at the output. To proceed with the design, system dynamics is split into two sets, dynamics of the measured state variables and unknown state variables. Then discrete observer...
This paper presents the simulation of cascaded multilevel inverter with different loads (i.e R, RL, RLC and RLE). A conventional inverter provides output of only positive and negative half. But to obtain multilevel waveform, the ac output of each level is connected in series. This configuration increase stability of system as well as provide desired output. In this paper, the performance of proposed...
This paper presents comparative study of VSI, CSI and ZSI-fed induction motor drive system and their control methods for dc-ac conversion. Inverters are used for dc to ac conversion for to control frequency and amplitude of output voltage at ac loads. The three topologies are connected to same specifications induction motor drive system and their performance parameters are studied. ZSI topology proves...
In this paper a hybrid ring oscillator, with oscillation frequency of 1.5/3.0 GHz, is presented with reduced sensitivity for supply variations. An analysis of oscillation frequency variation due to static and dynamic power supply noise, is given. Simulation results show a static supply sensitivity of 1.06% at 200 mV static supply noise and a dynamic supply sensitivity of 2.54% (worst case) as compared...
Social Anxiety Disorder(SAD) effects individual's social behaviour and results in excessive self-consciousness, negative judgmental thoughts and uncontrollable fear. It is visible not only in behavior but also pattern of physiological signals (such as electrodermal activity) of individuals as it is associated with autonomic nervous system (ANS). Previous studies have used various features of Electrodermal...
We propose a low cost and effective way to combine a free simulation software and free CAD models for modeling human-object interaction in order to improve human & object segmentation. It is intended for research scenarios related to safe human-robot collaboration (SHRC) and interaction (SHRI) in the industrial domain. The task of human and object modeling has been used for detecting activity,...
This paper is concerned about the wheel slip measurement of the anti-lock braking system (ABS). The wheel slip must follow the desired wheel slip; for this purpose multiple sliding surface controller (MSSC) based on disturbance observer (DO) is used. DO is integrated with sliding mode controller (SMC) to strengthen the overall performance of the system by estimating the lumped uncertainties that are...
This paper is concerned with the improvement of vehicle stability during braking. A disturbance observer (DO) in conjunction with sliding mode control (SMC) has been proposed for anti-lock braking system (ABS). DO is used to estimate and compensate the effect of uncertainty and disturbance from the system. The SMC provides robust control for the nonlinear ABS system to track the desired slip ratio...
Opinion Mining (also known as “Sentiment Analysis”) is an area of text classification which continuously gives its contribution in research field. The main objective of Opinion mining is Sentiment Classification i.e. to classify the opinion into positive or negative classes. SentiWordNet is an opinion lexicon derived from the WordNet database where each term is associated with some numerical scores...
The Lyrical part of a song is a rich source of datasets containing words that are helpful in analysis and classification of sentiments generated from it Sentimental analysis is not mere a social analytics but it is a field of study in which whole perception of individuals are automated to find the underlying details of the subject. The goal of this experiment is doing a linguistic analysis of Lyrics...
Today, in the real world the forecasting of stock price time series is very important and challenging task. In recent years many fuzzy time series forecasting method have been proposed. In previous studies the fuzzy relationships were assigned with equal weights. As the fuzzy relationship were treated as equally important, therefore in forecasting each individual relationship were not reflected correctly...
Feature optimization and feature selection play an important role multi-label text categorization. In multi-label text categorization multiple features share a common class and the process of classification suffered a problem of selection of relevance feature for the classification. In this paper proposed feature optimization based multi-label text categorization. The process of feature optimization...
Bit Parallel String Matching algorithms are the most efficient and latest class of String Matching Algorithms. These algorithms use the intrinsic property of computer known as Bit Parallelism for performing bit operations in parallel with-in single computer word. BNDM, TNDM, BNDMq are the popular single pattern bit parallel string matching algorithms whereas Shift-OR and Shift-OR with Q-grams algorithms...
This paper presents FFT spectrum analysis of single-phase ZSI under various fault conditions for boost as well as buck operation. The faults under consideration are fault at one of the IGBTs gate terminals, blowing off one IGBT. The comparisons of effects of faults are presented in paper for both boost and buck operation. Simulation results and FFT spectrum are simulated.
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