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In this paper combination of neural network (NN) and Fast Traversal Filters (FTF) is used for system identification and control. The error signal is divided into two parts-linear and non-linear. The linear part of the error signal is input by the FTF algorithm, whereas the non-linear part is input to the NN. The minimized errors from the two and then added and it finally becomes the input to the system...
The paper presents a modified framework for image compression using Burrow Wheeler Transform (BWT). The BWT is widely used in text compression but very few attempts have been made to BWT in image compression. Just like text compression it will not directly apply to an image. After performing some recorder arrangement it has been applied successively in an image compression framework. In the proposed...
This paper presents a novel concept in cross-project software defect prediction. Defects in real world software systems are predicted, using defects data of academic projects as training data. Relevant training data are filtered using patterns by ordered projections algorithm by [14]. A satisfactory Area under curve(AUC) value of at least 0.7 and above is obtained for 12 out the 16 investigated real...
Dynamic set point weighting technique is a well established technique reported in leading literature [10, 11]. Here, in this paper a simpler and better design is proposed in dynamic set point weighting technique for performance enhancement. In this proposed scheme the weighting factor is obtained online based on the instantaneous change of error of the process variable. The value of weighting factor...
Concept detection plays an important role if there is a huge amount of data available. We know that cluster analysis, topic detection, opinion mining have got a major role in the product marketing, online shopping, E-commerce. In this paper, we have conducted the topic detection and clustering experiments on the News samples which were sourced from online newspapers. Our aim is to find out the topics...
With the rapid growth of the Hyper Convergence (HC) the use of the Solid State Device (SSDs) as the intelligent Storage Tiering and caching has increased immensely. It plays an important role to provide high throughput and performance with maximum utilization of the SSD storage space considering the life cycle of SSDs and workload. Efficient Utilization of such resources is one of the main criterion...
The multi-antenna relay cooperation-hybrid (MARC-H) scheme. This paper studied the impact of MARC-H on the performance of moving (line of sight (LOS) between source and destination) multi-antenna relay. The MARC-H opts adaptively either Decode-and-Forward (DF) or Amplify-and-Forward (AF) scheme based on the relay placement. In particular, this paper analyzed the outage performance of MARC-H scheme...
In this era of cloud computing, web services based solutions are gaining popularity. The applications running on distributed environment seek new parameters for them to perform efficiently to satisfy end user's requirements. Finding these parameters for increasing efficiency has become a talk of researchers now days. Non functional performance of a web service is described through User dependent QoS...
Software systems which are dynamically composed from autonomous Web Services, coordinated by some composition processes referred to as Web Service Based Systems (WSBS). These are essentially distributed in nature and in most cases facilitated through third party service providers. Service-based approaches are widely used to integrate the heterogeneous systems. Web Services allow for the design of...
Disasters are inevitable aspects of the human civilization and the limitation of extending the medical infrastructure to every corner of the demography is a challenging task. Technology can cater to need of the availability of medical expertise for each affected individual in the disaster virtually. A medical infrastructure can be envisioned using existing LAN and WAN communication technology standards...
Recent dynamic advances in Telecom evolution calls for optimization of technologies, something which we continually learn from the nature. Adaptive intelligent machines, inspired from biological evolution, should emerge as cost-controlled, energy-efficient and sustainable alternatives for future generations. In this paper, we review the different evolving intelligent techniques implemented in various...
A vehicular ad hoc network (VANET) uses vehicles as mobile nodes to create a network. The increasing number of vehicle on road creates alot of problem to the vehicle driver as well as passengers. VANET is network which is developed to face these situations and provide road safety and comfortable journey to the driver. In this network each vehicle can communicate to other vehicle and share the rode...
Recently, Scientists needs to know the behavior of fish populations in underwater. Previously many algorithms are used but they are suffered in complex textures and low detection rate. This paper proposed a multi threading fuzzy c-mean (MFC mean) approach to detect multi-moving fishes in a noisy and dense condition. In this approach, we combines the multi threaded parallel (MTP) approach and kernel...
In this paper, an optimization algorithm is proposed for solving combinatorial optimization problems. The designing of the algorithm is based on the Bohr's atomic model. Microcosm of physics and chemistry such as excitation and de-excitation of electrons in atom and atom's bond formation phenomenon are the key mechanism of this algorithm. Atoms form compounds to minimize the energy of their electrons...
In this proposed work, k-nearest neighbors (kNN) classifier comprising of three features i.e. area, compactness ratio, aspect ratio is used to separate the isolated and compound erythrocytes present in microscopic images of thin blood smear. In the microscopic image of thin blood smear, blood components such as erythrocytes, platelets etc are available which is used for diagnostic approach to blood...
Weather forecasting is rather a statistical measure than a binary decision. We intend to develop an intelligent weather predicting module since this has become a necessary tool. This tool considers measures such as maximum temperature, minimum temperature and rainfall for a sampled period of days and are analyzed. An intelligent prediction based on the available data is accomplished using machine...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
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