The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper we study single image haze removal techniques on outdoor images for visibility enhancement in foggy weather conditions. Haze removal techniques based on dark channel prior model have used different filters for estimating the transmission. We have studied effect of using different filters along with the fundamental mean and gaussian filters in the visibility enhancement in foggy conditions...
The computer-based real-time simulation of an electro-mechanical system using not only automatically fed pre-defined simulation conditions, but real life input signals to the system to enhance user control options is proposed. The introduced system is a robotic assistive technology for repair and maintenance of electrical power transmission lines in live condition. The setup is assisted by a simulation...
In this work, an Automatic Speech Recognition (ASR) system of isolated words for Maithili dialect is presented. Isolated Word Recognition (IWR) systems recognize a spoken word by a person through a microphone or some other devices. In this work, we have centered to perceive Maithili dialect words utilized for telephone security and internet searchers, or programmed dialing and managing banking security...
In this work, multiple time-scale estimates of auditory features have been introduced to capture the effect of short time-transients additive noise present over some specific active regions in a speech utterance and these multiple time-scale auditory features have been used for non-intrusive speech quality measurement. The use of single time-scale auditory features is not accurate in capturing the...
The paper describes the estimation of parameters of battery model at various temperatures for the Li-ion battery. The estimation of parameters employs experimental methods that are time-consuming, expensive and require high computational power. Hence, second-order RC network equivalent circuit model parameters estimation is done using GA, PSO, and DE optimization techniques. For proper evaluation,...
To improve both the operating performance and cycle life of batteries in battery electric vehicles requires a battery model that can influence fidelity behavior of the battery under different conditions. Hence, two commonly used equivalent circuit battery models (first-order and second-order RC) are tested using GA, PSO, and ASMO optimization techniques. The paper describes the estimation of parameters...
Predicting Location Based Market Price (LBMP) in real time is an important and complex task that involves a great accuracy to model extreme spikes. Occurrence of spikes in real time LBMP is due to uncertainty in load demand as well as a significant variation in surrounding temperature throughout the day. These fluctuations cause extreme spikes in market clearing price due to transmission outages,...
Long Term Load Forecasting aims to predict the system load over an interval of one year to ten years. The increase in the penetration of renewables in power system demands expansion of transmission structure as well as more flexible generation and better cycling of existing generation. Long term load forecasting plays a crucial role in system resource planning, Staff hiring and expansion of transmission...
This paper describes the parametrization and comparison of dynamic battery models for Li-ion battery. The estimation of battery parameters deploys experimental methods that are expensive, require high computational power and are time-consuming. Hence, two commonly used equivalent circuit battery models are tested using GA, PSO, ASMO and DE optimization techniques. Estimation has been done by the estimated...
Modern day wireless networks have tremendously evolved driven by a sharp increase in user demands, continuously requesting more data and services. This puts significant strain on infrastructure-based macro cellular networks due to the inefficiency in handling these traffic demands, cost effectively. A viable solution is the use of unmanned aerial vehicles (UAVs) as intermediate aerial nodes between...
Lyon's auditory features and Multi-Resolution Auditory Model (MRAM) features for narrowband speech sampled at 8 kHz for different degradations are computed. The Gaussian Mixture Model (GMM) has been used to map these auditory features of narrowband speech into the objective mean opinion score (MOS) using Expectation Maximization (EM) algorithm. Non-intrusive speech quality assessment has been done...
Residual current device being highly sensitive, demands a low coercive and high permeable magnetic material. It should be able to sense all type of signals such as AC with variable frequency, pulsating half and full wave dc, mixed dc and pure dc etc. Conventional soft magnetic material which are used for current sensing, though have moderate to high permeability but are easily influenced with the...
Total Pressure and Stock Level in the headbox of a paper machine control the quality of paper produced and cross directional flow at the slice. Thus, these are the important parameters to be controlled. With the advancement in artificial intelligence, mathematical approaches that demand high degree of precision has been avoided by using the best estimates in the research work. Soft computing technique...
Gait analysis has applications not only in medical, rehabilitation and sports, but it can also play a decisive role in security and surveillance as a behavioral biometric factor. This paper discusses gait parameters extraction technique without using makers or sensors. Videos from a home digital camera are analyzed and a silhouette image based technique is used to identify gait parameter such as step...
In multiprocessor system, efficient scheduling of a parallel program that minimizes the completion time is an important activity in achieving high performance. Objective of the proposed model is to optimize the schedule length, i.e. given a set of tasks, how to complete the final task quickly. A parallel particle swarm optimization algorithm has been applied for this that takes care of Local as well...
In cloud computing, at storage level, security provided to cloud by access control and data encryption key, and at network level installing virtual firewall and cloud service provider provides its internal storage for storing client's data using ips/ids to protect against attacks. Storing data in encrypted format is a common method of data privacy protection which causes a risk for the unauthorized...
A 2-joint, 3-link multibody vehicle model biologically inspired by a Body Caudal Fin (BCF) carangiform fish propulsion mechanism in fluid environment is presented in this paper. Under the Lighthill (LH) mathematical slender body theory different mathematical propulsive waveforms are developed to generate robotic fish locomotion. LH Cubic function is found to be 16.32 % efficient than a non-LH function...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.