In this paper, the use of compressive sensing in a mobile communication system is proposed in order to increase the data rates. The objective is to increase the data rates of current and possibly future generation mobile systems. In the proposed system the speech signal is sampled below the Nyquist rate by using compressive sensing. The compressed spectrum is then transmitted over the wireless system and successfully reconstructed at the receiver without losing any significant information. In theproposed communication system, first the speech signal is modelled in such a way that theinput signal is sparse enough before applying compressive sensing. The sparse signal ismultiplied by the predefined measurement matrix. The output of the compressive sensingmodule is then transmitted to the receiver.

Data mining is characterized by tools that deal with large amounts of data with statistical precision being less important than speed. With hundreds of thousands of data points, statistical significance is not really a very big issue and is certainly not equivalent to practical significance. In contrast, traditional statistics courses in Colleges settings deal with very carefully collected data from designed experiments or careful observational studies. From ancient period in India, educational institution embarked to use class room teaching. Where a teacher explains the material and students understand and learn the lesson. There is no absolute scale for measuring knowledge but examination score is one scale which shows the performance indicator of students. So it is important that appropriate material is taught but it is vital that while teaching which language is chosen, class notes must be prepared and attendance. This study analyses the impact of language on the presence of students in class room. The main idea is to find out the support, confidence and interestingness level for appropriate language and attendance in the classroom. For this purpose association rule is used.

Minimum quantity lubrication (MQL) has increasingly found its way into the area of metal cutting machining and in many areas, has already been established as an alternative to conventional wet processing. In contrast to flood lubrication, minimum quantity lubrication uses only a few drops of lubrication (approx. 5 ml to 100 ml per hour) in machining. This paper deals with a view to optimize the pressure (P) and flow rate (Q) of cutting fluid in MQL system with different type of cutting fluid to obtain improved machining performances in turning EN-8 steel by uncoated carbide insert in respect of tool wear. Fluid selection is important for MQL because it must be a superior fluid such as vegetable oil or synthetic oil. The costs of these superior fluids are higher but eliminate the need for costly fluid recycling and disposal services. MQL may be an ideal option because of the elimination of fluid waste while maintaining the benefits of using oil, but the specific fluid delivery method for individual facilities requires an in depth understanding of the technical aspects of MQL that could make it unfeasible to use this method.

This paper presents an approach to determine the optimum cutting parameters leading to have best multiperformance in terms of lower surface roughness (quality) and higher material removal rates (quantity) simultaneously in CNC end milling of Al-Si7Mg (LM25). Conventional Taguchi method is applicable for optimizing single performance characteristics only. The grey relational analysis (GRA) coupled with Taguchi method called as grey-Taguchi method used here is useful and a very versatile statistical tool to manipulate the experimental data to have best multiperformance under various conditional requirements. Four process parameters, i.e. coolant environment, cutting speed, feed rate and depth of cut, each at three levels except the coolant at two levels, have been considered. The L18 orthogonal array best suited for such mixed levels of milling parameters is used for the experimental study. The results of confirmation tests demonstrate that grey-Taguchi method can effectively be used to get the optimum combination of milling parameters

Wireless mesh networks (WMNs) will give affordable solutions for extending the reach of wireless access points by victimization multi-hop routing over a group of stationary wireless routers. The routing protocol for these networks might have to handle quality concerns to satisfy the requirements of the user. during this paper, we tend to gift a top quality primarily based routing protocol for wireless mesh networks that tries to maximize the chance of prosperous transmissions while minimizing the end-to-end delay. The planned routing protocol uses reactive route discoveries to gather key parameters from candidate routes to estimate the chance of success and delay of knowledge packets transmitted over them. Many proprietary mesh solutions were developed by individual nodes but so as to interoperability; IEEE forms a task cluster known as IEEE 802.11s to develop associate degree integrated mesh networking answer. There’s few work and lots of simulation studies have been done to guage the performance of the Handoff Techniques with the belief of distinctive variety of flow with fastened packet size and packet rate to different mobile nodes. However, real networks carry a various application (video, voice, FTP, Email etc) with completely different characteristics (packet size, data rate). During this paper, we are investigated and analyzed the performance of wireless Mesh Networks (WMNs) under such heterogeneous application characteristics.

Manufacturing products have many facet of cost and incidentals spend to maintain the plant and equipment are treated as overheads without perturbing much. Subsequently, only the breakdown maintenance cost has a great impact over product cost and overall economy of the diligences. Three process diligences under study has one common equipment, the Boiler of overriding prominence as its fractional or complete fiasco halt the intact production system. That’s why, need felt to form a model to estimate the cost experienced by any breakdown based upon some benchmark jobs as none knows the expenses incurred following a breakdown in terms of many associated expenditures. So, a preemptive goal programming model is formulated by considering benchmark jobs and other influencing factors. Conversely, these factors have been sub-leveled further for an awfully precise assessment of the most advantageous maintenance times.

The many new materials and alloys that have been developed for specific uses possess a very low mach inability producing complicated geometries in such materials becomes extremely difficult with the conventional methods. Hence, Non-traditional machining has grown out of the need to machine exotic engineering metallic materials, composite materials and high tech ceramics. Electrochemical Machining has been accepted worldwide as a standard process in manufacturing and is capable of machining geometrically complex or hard material components, that are precise and difficult-to-machine. The principle of anodic dissolution of metal theory is the most accepted mathematical model for evaluating material removal from electrodes during electrochemical process. If two suitable metal poles are placed in a conducting electrolyte and a direct current passed through them, the metal on the positive pole get depleted and its material is deposited on the negative pole. Keeping this in view, the present work has been undertaken to finding the material removal rate by electrochemical dissolution of an anodically polarized work piece with a circular-shaped copper electrode.