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Machine to Machine based communication and coordination in cyber physical systems for manufacturing application is a daunting problem. Here, the difficulty is in developing a multi task learning algorithm for finding collaborative key points within high dimensional decision space. In order to overcome such a problem a gradient based method is required to enable distributed control and collaborative...
Networked Virtual Environments (NEV) are sets of disjointed virtual worlds which are topographically set apart from the users yet connected through the communication network to give them the illusion of being in the same virtual location. NVEs are increasingly receiving consideration from business and research point of view. Contrasted with various sorts of possible applications, NVEs require a high...
The computation speed and output latency of map matching are important considerations when processing location data, especially smartphone-generated noisy and sparse data, from a large number of users for real-time transportation applications. In this paper, we examine the factors affecting the efficiency of online map matching algorithms that are based on probabilistic sequence models such as Hidden...
The problem of missing samples in road traffic data undermines the performance of intelligent transportation applications. This paper proposes a data-driven imputation method that exploits the spatial and temporal relationships existing between the traffic flows of multiple road segments that are correlated with each other. The K-means clustering technique is used to group together road segments with...
due to several reasons such as attentions given to design features and to modification from littler to medium sized system that results in trivial enhancement in performance.In spite of the tremendous achievement of grids which run parallel jobs, there still exists demand of requesting applications to avail opportunistic computing for considering the right selection of prerogative supercomputers....
The ability to correctly infer the route traveled by vehicles in real time from infrequent, noisy observations of their position is useful for several traffic management applications. This task, known as map matching, is efficiently performed through probabilistic inference on a Hidden Markov Model that represents the candidate vehicle states and the transitions between them. In this paper, we present...
Image compression is the application of Data compression on digital images. To overcome the inefficiencies in the JPEG standard and serve emerging areas of mobile and Internet communication, thus the new JPEG2000 standard has been developed based on the principles of DWT. The encoding process for satellite images in this standard are too complex and time consuming which makes the system too slow down...
Power consumption in digital systems has become a major trade-off in portable battery based digital systems. Traditionally CMOS logic circuits are used to manufacture digital systems and the power delay product gives the average power consumed per unit switching activity in a CMOS logic. A power and delay reduction methodology based on DEMORGAN'S Laws is proposed and the proposed logical block is...
In this paper, a data mining technique, Fuzzy C Means clustering (FCM) is used to locate the optic disc in colour fundus image. Green plane from the RGB fundus image is considered in the proposed approach because it provides better contrast than the other red and blue planes. As the intensity of the optic disc is brighter than other region, the initial optic disc is identified by the brightest points...
Image denoising refers to the improvement of a digital medical image that has been infected by Additive White Gaussian Noise (AWGN). The digital medical image or video can be affected by different types of noises. They are impulse noise, Poisson noise and AWGN. The term “image or video is de-noising” is usually devoted to the problem connected with AWGN. In this paper, Discrete Wavelet Transform (DWT)...
In this paper we propose a Conventional Neural Network which recognizes the online Tamil characters. Convolutional Neural Networks are a special kind of multi-layer neural networks. Like almost every other neural networks they are trained with a version of the back-propagation algorithm, where they differ is in the architecture. Convolutional Neural Networks are designed to recognize visual patterns...
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