This paper describes the analysis of signature based intrusion detection systems. Snort which is a signature based intrusion detection system are used for this purpose. We use DARPA dataset for the evaluation of Intrusion detection system.

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Data Cube in the contest of data warehousing and OLAP is core operator. The data cube was proposed to pre compute the aggregation for all possible combination of dimension to answer analytical queries efficiently. It is a generalization of the group-by operator over all possible combination of dimension with various granularity aggregates. Efficient and Compressed computation of data cube are Fundamental issues. Data Warehouses tend to be order of magnitude larger than operational database in size. So by studying and comparing all these methods we can find out that which methods are applicable and suitable for which kind of Data. Here I have compared range cube with Bit cube .Each problem is of particular interest in the field of data analysis and query answering. So by comparing various methods, we can verify the trades of between time and space as per the requirements and type of problem. Different Types of measures are available for aggregating the datasets. Such as Major-Minor, Count, Sum etc. So comparative study shows that we can find which measures can be compute data cube incrementally.

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This papers functions within to reduce individuality popularity (OCR) program for hand-written Gujarati research. One can find so much of work for Indian own native different languages like Hindi, Gujarati, Tamil, Bengali, Malayalam, Gurumukhi etc., but Gujarati is a vocabulary for which hardly any work is traceable especially for hand-written individuals. Here in this work a nerve program is provided for Gujarati hand-written research popularity. This paper deals with an optical character recognition (OCR) system for handwritten Gujarati numbers. A several break up food ahead nerve program is suggested for variation of research. The functions of Gujarati research are abstracted by four different details of research. Reduction and skew- changes are also done for preprocessing of hand-written research before their variation. This work has purchased approximately 81% of performance for Gujarati handwritten numerals.

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Power system stabilizers (PSSs) are used to enhance the damping during low frequency oscillations. The paper presents study of power system stabilizer using fuzzy logic and neural network to enhance stability of single machine infinite bus system. In this paper basic problem of conventional power system stabilizer for stability enhancement is defined which is traditionally used. Artificial intelligence techniques provide one alternative for stability enhancement and speed deviation (Δw). The proposed method using Artificial intelligence techniques achieves better improvement than conventional power system stabilizer. Fuzzy logic rules were developed for triangular membership function of input and output variables. Neuro controller is implemented and it is compared with reference model. The system is simulated in SIMULINK environment and the performances of conventional, Fuzzy based and Neural network based power system stabilizers are compared.

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Human visual system can categorize objects rapidly and effortlessly despite the complexity and objective ambiguities of natural images. Despite the ease with which we see, visual categorization is an extremely difficult task for computers due to the variability of objects, such as scale, rotation, illumination, position and occlusion. Utilization of characteristics of biological systems for solving practical problems inevitably leads towards reducing the gap between manmade machines and live systems. Biologically motivated information processing has been an important area of scientific research for decades. This paper presents a Biologically Inspired Model which gives a promising solution to object categorization in colour space. The features are extracted in YCbCr colour space and classified by using SVM classifier. The framework has been applied to the image dataset taken from the Amsterdam Library of Object Images (ALOI). The proposed framework can successfully detect and classify the object categories with a good accuracy rate of about 91.3% for the Cb plane.

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The Since past few decades, image segmentation has been successfully applied to number of applications. When different image segmentation techniques are applied to an image, they produce different results especially if images are obtained under different conditions and have different attributes. Each technique works on a specific concept, such that it is important to decide as to which image segmentation technique should for a given application domain. On combining the strengths of individual segmentation techniques, the resulting integrated method yields better results thus enhancing the synergy of the individual methods alone. This work improves the segmentation technique of combining results of different methods using the concept of game theory. This is achieved through Nash equilibrium along with various similarity distance measures. Using game theory the problem is divided into modules which are considered as players. The number of modules depends on number of techniques to be integrated. The modules work in parallel and interactive manner. The effectiveness of the technique will be demonstrated by simulation results on different sets of test images.

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Mobile Ad-Hoc Network (MANET) is a self-configuring network of mobile devices connected through wireless. Nowadays mobile devices in mobile Ad-hoc network are battery operated. Battery is an important factor in MANET. Dynamic topology of mobile ad-hoc network and limited battery capacity are constrained on network life time. In this paper, we have presented variants of power aware techniques in an on-demand reactive routing protocol i.e. AODV which aims to prolong network lifetime. AODV is reactive protocol and it establish route on demand.

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This paper presents the results of an experimental investigation carried out for M-70 Grad Concrete and to evaluate the compressive strength and Flexural Strength of Concrete. High Performance Concrete is made by partial replacement of cement by alccofine, fly ash, silica fume. In this study the Class F fly ash used in various proportions 20 to 35%, alccofine 4 to 14% and silica fume 4% to 14% by weight of cement. The mix proportions of concrete had a water binder ratio for Alccofine mix concrete 0.30 and Silica-fume mix concrete 0.32.super plasticizer was added based on the required degree of workability. The total binder content was 600 kg/m3. The concrete specimens were cured on normal moist curing under normal atmospheric temperature. The compressive strength was determined at 7 , 28 , 56 days and flexural strength was determined at 28 and 56 days The results indicate the concrete made with these proportions generally show excellent fresh and hardened properties. The addition of Alccofine, silica fume shows early strength gaining property and that of fly ash shows a long term strength. The ternary system that is Portland cement-fly ash-Alccofine concrete was found to increase the compressive strength of concrete on all age when compared to concrete made with Portland cement-fly ash-silica fume.

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Any design methodology must ensure identification of all the design alternatives and result in an optimum design. A review and comparison of Characteristic polynomial, Eigen vectors and Eigen value and Hamming number methods is presented. From the adjacency matrix Eigen values are determined for EGTs of given number of links and Degree Of Freedom (DOF). Isomorphism is checked comparing the Eigen values of EGTs. Also characteristic polynomial coefficients are used to detect isomorphism in EGTs that are generated.

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This paper proposing the Load balancing congestion control with multipath routing, showing that in a static setting, where random path sets are chosen, coordinated controllers outperform uncoordinated ones. In a dynamic setting, by having limited set of routes, but allowing evolution to better routes over time, we can implement a distributed welfare maximization with coordinated controllers. This has implications for the design of practical multi-path rate control algorithms.

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Exhaust emissions of much concern are Hydrocarbon (HC), Carbon Monoxide (CO) and Nitrogen Oxide (NOx) from the automotive vehicles. Catalytic converter oxidizes harmful CO and HC emission to CO2 and H2O in the exhaust system and thus the emission is controlled. There are several types of problems associated with noble metal based catalytic converter. These factors encourage for the possible application of non-noble metal based material such as copper as a catalyst, which may by proper improvements be able to show the desired activity and can also offer better durability characteristics due to its poison resistant nature. The present work is aimed at using copper as a catalyst for catalytic converter. Wire mesh copper catalytic converter is developed for a volume of 1.54 m3. The experiment is carried out on four stroke single cylinder CI engine. The optimum values of exhaust emissions found at full load are HC (126 ppm), CO (0.03 %). By using copper based catalytic converter it is found that HC is reduced by 33 % and CO by 66 % at full load.

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In this paper, at first, a simulation of induction furnace model optimized resonant capacitor is designed for a practical induction furnace with parallel resonant inverter. Then rectifier and inverter snubber circuit are designed. And taken voltage, current, THD and power measured. This measured value comparison with actual working industry furnace data. and conclude that when furnace is not operate at full load that time its power factor is very low. And THD is high.

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This paper presents the simulation of D-statcom to understand the improvement of voltage stability [1] of distribution system. The power circuits of the D-STATCOM and distribution networks are made up of simpower system blocks, while the control circuits made with the simulink blocks The STATCOM is applied to regulate transmission voltage to allow greater power flow in a voltage limited transmission network, in the same manner as a static var compensator (SVC), the STATCOM has further potential by giving an inherently faster response and greater output to a system with depressed voltage and offers improved quality of supply. The main applications of the STATCOM are; Distribution STATCOM (D-STATCOM) exhibits high speed control of reactive power to provide voltage stabilization and other type of system control. The DSTATCOM protects the utility transmission or distribution system from voltage sag and /or flicker caused by rapidly varying reactive current demand. During the transient conditions the D-STATCOM provides leading or lagging reactive power to active system stability, power factor correction and load balancing.

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Abrasive water jet machine (AWJM) is a mechanical base non-conventional machining process. This is process of removal of materials by impact erosion of high pressure (1500-4000 bar), high velocity of water and entrained high velocity of grit abrasives on a work piece. Experimental investigations were conducted to assess the influence of abrasive water jet machining (AWJM) process parameters on response-Material removal rate (MRR) and Surface roughness (Ra) of EN9. The approach was based on Taguchi's method and analysis of variance (ANOVA) to optimize the AWJM process parameters for effective machining. Experiments are carried out using L25 Orthogonal array by varying Traverse speed, Hydraulic pressure and Stand of distance (SOD) for EN9 material. In present study, Analysis found that varying parameters are affected in different way for different response.

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Sterilization (or sterilisation) is a term referring to any process that eliminates (removes) or kills all forms of microbial life, including transmissible agents (such as fungi, bacteria, viruses, spore forms, etc.) present on a surface, contained in a fluid, in medication, or in a compound such as biological culture media. Sterilization can be achieved by applying the proper combinations of heat, chemicals, irradiation, high pressure, and filtration. Several methods are available for sterilization and among all steam & gamma sterilization are most suitable methods for elastomeric components. In this study the effect of steam & gamma sterilization has been compared with non-sterile components. For this comparison EP & USP methodology has been used. Steam and gamma which has been used as a source for sterilization that may affect the molecular chain & crosslink density of elastomeric components. The study on effect of sterilization serves to help understand the potential deterioration of physical and chemical properties, the possible impact to functionality and the potential changes to the extractable/leachable profile as a result of sterilization.

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Most of the conventional Rubber Accelerators used for curing of rubber produce Nitrosamine during and after processing (during storage). This review is to identify these accelerators and sort out the possible options to replace them with no or less producing Nitrosamine Accelerators.

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Blind signatures introduced by Chaum, allow a user to obtain a signature on a message without revealing anything about the message to the signer. Blind signatures play an important role in plenty of applications such as e-voting, e-cash system where anonymity is of great concern. ID based public key cryptography can be a good alternative for certificate based public key setting, especially when efficient key management and moderate security are required. In this we propose an ID based blind signature scheme from bilinear pairings.

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The complete process of iron angles processing; machining and coating by Kalpataru Power Transmission Ltd. has been studied in detail. The different phases of production of the iron/steel angles include automation, CNC machines, Robo arms, overhead cranes and other mechanical equipments. After the straightening, shearing, punching, stamping, heating & bending operations are performed upon the different sections; each set of parts follow a sequence of processes. Once the sections are done with the machining processes, they follow the hot dip galvanization process. Surface Fluxing is the primary stage; followed by Steel Galvanizing and finally dichromate quenching. All the sections are arranged in their respective jigs. These structures or frames are handled by the overhead cranes and dipped in various tubs and lifted from them. Initially, the sections perform hot caustic degreasing followed by Hydrochloric acid pickling. Now these sections are rinsed in water and then soaked in a hot pre-flux. Before dipping into the Zinc tub, these sections are dried in the oven so that wet sections do not splash zinc off the tub. After taking out from the zinc tub, it is quenched in warm water. In the final step of this phase, all these sections are submerged into the dichromate solution to emboss a glossy texture. Here, in the whole coating process, it happens that the sections are to be immersed into various liquid tubs. So, when removing them out, many of the sections fail to be retrieved and remain inside the tub. So this decreases the production though negligible but with a feasible solution, it appears to be worth practicing. The objective of the project is to reduce the loss of iron angles and molten zinc during the coating of iron angles before dispatching.

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This paper present design and implementation idea about axis motion control of CNC machine based on G code and M code using FPGA. G code and M code are the majority part of the motion action of CNC machine and with the other term motion curves and trajectory formula and interpolation.

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Service Clouds are a key emerging feature of the Future Internet which will provide a basic platform through which it executes virtualized services. For effectively operating a cloud services there is a need to have a monitoring system which provides data on the actual usage and changes in the resources of the cloud and the services running in the cloud. Monitoring and managing cloud is a very different from monitoring and managing the individual servers. This paper will detail the different aspect of the monitoring and the parameters involved in monitoring of the cloud services.

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Wireless sensor networks will be widely deployed in the near future. While much research has focused on making these networks feasible and useful, security has received little attention. Wireless Sensor Networks (WSN) are a most challenging and emerging technology for the Research due to their vital scope in the field coupled with their low processing power and associated low energy. As wireless sensor networks continue to grow, so does the need for effective security mechanisms. Because sensor networks may interact with sensitive data and/or operate in hostile unattended environments, it is imperative that these security concerns be addressed from the beginning of the system design staring with a brief overview of the sensor networks security, a review is made of and how to provide the security in the wireless sensor networks. This paper studies the security problems, Requirement, Architecture of WSN and different platform, characterized by severely constrained computational and energy resources, and an ad hoc operational environment.

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this paper is related to one of the basic needs of a common man today viz. the VEHICLES. In general we all use vehicles daily; either two wheelers or four wheelers. Petrol has always been the main fuel for automobiles. The continuous hikes in petrol prices and problem of pollution due to petrol have made people to think for some alternative of petrol. Technical experts have suggested the use of Compressed Natural Gas (CNG) as an alternative of petrol for automobiles. They have estimated that apart from being less hazardous and environment friendly, it can help in reducing the levels of pollutant emissions to great extent. It is quite cost effective. Its extensive use in automobiles has the efficacy to reduce excessive dependence on petroleum imports. Now days the use of CNG has increased as a fuel in automobiles. But the CNG cannot be used as only fuel in the vehicles because of speed and pick up constrains. Thus petrol is always needed to provide the required speed and pick up. Therefore, the switching is required in the vehicles to switch the engine from CNG to petrol and vice-versa. The manual switching is provided in the vehicles. It will be very helpful for the user if automatic switching is provided in the vehicles. This paper gives the details of automatic switching from petrol to CNG and vice-versa.

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this paper proposes different approaches of wavelet based image denoising methods. The search for efficient image denoising methods is still a valid challenge at the crossing of functional analysis and statistics. Wavelet algorithms are very useful tool for signal processing such as image denoising. The main of modify the coefficient is remove the noise from data or signal. In this paper, the technique was extended up to almost remove noise Gaussian.

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This Electroencephalogram (EEG) signal analysis very useful in clinical research and brain computer interface application. EEG signal (brain wave) recordings are highly susceptible from artifacts which are originated from the non-cerebral origin of the brain. EEG detection and rejection of artifacts are necessary for acquiring correct information from EEG signal. Emotiv, Epoc headset can record 16 channels from the scalp of the electrode. EEGLAB allows analysis of EEG signal through Event related potential (ERP) analysis, Independent component analysis (ICA), and time/frequency analysis. Independent component analysis (ICA) may be suitable method for detecting artifacts. We analyzed EEG data which are recorded using emotiv epoc in a different situation for a single person. EEG data are preprocessed by EEGLAB and decomposes the data by the ICA. Using statistical method, analyzed the all the dataset and finding the relationship among the dataset. T- Test shows that EEG pattern is unique in a person. EEG data is divided into different frequency band to find the relationship between the dataset. Also develop the algorithm for calculating energy of dataset for each channel. Comparing the energy for each dataset and each channel to find the maximum and minimum value of energy. In higher frequency range (13-100 Hz) dataset D (meditation) contains maximum value of energy for most channels among all datasets.

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The aim of this Study is to evaluate the performance of concrete (HPC) containing supplementary cementitious materials such as Fly ash & Alccofine. The necessity of high performance concrete is increasing because of demands in the construction industry. Efforts for improving the performance of concrete over the past few years suggest that cement replacement materials along with Mineral & chemical admixtures can improve the strength and durability characteristics of concrete. Alccofine (GGBS) and Fly ash are pozzolanic materials that can be utilized to produce highly durable concrete composites. This study investigates the performance of concrete mixture containing Local Alccofine. in terms of Compressive strength, Sulphate Attack tests, Alkali test and RCPT (Rapid chloride penetration test) at age of 28 and 56 days. In addition find out the optimum dosage of alccofine and fly ash from that get M70 Strength, in final mix proportion perform a given test. Result show that concrete incorporating Alccofine and fly ash had higher compressive strength and alccofine enhanced the durability of concretes and reduced the chloride diffusion. An exponential relationship between chloride permeability and compressive strength of concrete is exhibited.

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