Agent oriented technology is a strong way of approaching large-scale commercial problems of software industry. This technology has exciting features like social ability, reactivity, autonomy, intelligence, proactivity and mobility. Mobility can be defined by the agent’s ability to migrate autonomously from one environment to other to compute on behalf of user. Mobile agent is an agent that can move in a communication network. These agents must be too smart in order to act efficiently. Network management and network load balancing are its major applications. Mobile agents are cooperative, autonomous and interactive. These complex systems require a lot of analysis for their good performance. Some relevant measures may help in evaluating the performance. The objective of this paper is to assess the performance of mobile agents with a set of proposed measure that may check each aspect of mobile agent’s complexity and its quality.

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Image compression is a most popular application of data compression on digital images. This compression is reducing the size in bytes of an image without corrupting the quality of the image. The minimization in file size allows more images to be stored in a given amount of disk or memory space. There are numerous different ways are existing for image compression. This paper concerned with the lossy compression techniques implemented for RGB Images, where data loss cannot affect the image quality and the clarity also will not be decreased with presenting the additional procedure for compressing methods. This compression technique is very popular. DCT Image Compression is very easy one for Greyscale images, while compressing the Colour image it is hard to implement. However, this RGB image compression has been implemented successfully. After compression the file size is reduced more and image quality is nearly the same. This analysis of compression techniques addresses the problem of minimizing the amount of data required to represent a digital image. It is also used for eliminating the redundancy that is avoiding the duplicate data. It also reduces the storage space to load an image. The main objectives of this paper are reducing the image storage space without corrupting the visual quality, Easy maintenance and providing security. The proposed Discrete Cosign Transform techniques efficiently work with RGB image which is compressed up to 90%, 80% 70%, 60%, 40% and 20% and optimum results are obtained. The analysis of obtained results has been carried out with the help of MSE (mean square error) and PSNR (peak signal to noise ratio). This compression method is entirely developed by using only basic MATLAB functions.

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The measure of waste glass has step by step expanded over the late years because of a perpetually developing utilization of glass items. The vast majority of the waste glasses are being dumped into landfill locales. The area filling of waste glasses is undesirable on the grounds that they are not biodegradable, which makes them ecologically less neighborly. There is gigantic potential for utilizing waste glass as a part of the solid development segment. Then again, with characteristic sand stores the world over becoming scarce, there is an intense requirement for an item that matches the properties of regular sand in cement. In the most recent 15 years, it has turned out to be clear that the accessibility of good quality regular sand is diminishing. Ecological concerns are likewise being raised against uncontrolled extraction of normal sand. The contentions are for the most part with respect to securing riverbeds against disintegration and the significance of having normal sand as a channel for ground when waste glasses are reused in making solid items, the creation expense of solid will descend. Waste glass powder can display attributes like that of sand. In these research project properties of concrete is evolved using Fly Ash, Recycled concrete aggregate, Glass Powder and Crumb rubber. This project is divided into two parts i.e. Research Program 1: This Program consists concrete containing Fly Ash, Glass powder and Recycle Aggregate. Here cement is partially replaced by 30% Fly Ash, Coarse Aggregate is partially Replaced by 40% Recycled Concrete aggregate and Glass Powder partially replaced Fine aggregate with varying percentage from 15% to 25% at interval of 5%, and Research Program 2: This Program consists concrete containing Fly Ash, Glass powder and Recycle Aggregate. Here cement is partially replaced by 30% Fly Ash, Coarse Aggregate is partially Replaced by 40% Recycled Concrete aggregate and crumb rubber partially replaced Fine aggregate with varying percentage from 5% to 10% at interval of 2-3%.

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The quality of search services, personalized web search (PWS) provides better results in internet and has been attracting attention recently. Many researchers tailored for individual user needs in PSW. One of the most critical benefits personalized search is to improve the quality of decisions that consumers make. The major barrier of PWS is to disclosure the private information during the search. To protect user privacy in profile-based PWS, two contradicting effects are considered during the search process. On the one hand attempts are made to improve the search quality with the personalization utility of the user profile by hiding the privacy contents existing in the user profile to place the privacy risk under control. The proposed work is very effective and efficient and does not require iterative user interaction. The work enhances the stability of the search quality by avoiding the unnecessary exposure of the user profile. With this system admin can easily find out the ratings. Admin can cluster the user interest which allows search engines to sell more advertisements because companies understand that they will have a better opportunity to sell based on high percentage matched individuals than medium and low percentage matched individuals.

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The present study involves the use of super absorbent polymer (SAP) in concrete which helps in self-curing and helps in better hydration. In the present study, the effect of super absorbent polymer (SAP) on split tensile strength by varying the percentage of SAP by weight of cement from 0.2%, 0.3% and 0.4% were studied for both mixes M30 and M20, and it is compare with same grade of concrete which is made by conventional method. It was found that SAP could help in self-curing by giving strength on par with conventional curing.

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The network in which no. of mobile nodes can communicate with each other through a radio wave without any specified infrastructure is popularly known as Mobile Ad-hoc Network(MANET).MANET has a number of routing protocols. The popular ones so far are Dynamic Source Routing (DSR), Destination Sequenced Distance Vector (DSDV), Ad-hoc On-demand Distance Vector (AODV), Ad-hoc On-demand Multicast Distance Vector (AOMDV) and Temporally-ordered Routing Algorithm (TORA)routing protocol. Among them the AODV and AOMDV routing protocol meets efficiently with the ad-hoc network specification. For last few years routing protocols of mobile ad-hoc networks (MANETs) were simulated as a function of mobility, number of nodes, and size of the network but not as a function of route maintenance parameters such as Active Route Timeout (ART) and Delete Period Constant (DPC=n) with moving source-destination (node) pairs in network as well. The simulation study of proposed routing protocol is carried out using OPNET 14.5 simulation tool. The simulation results of different ‘ART’ and ‘n’ for the performance metrics net throughput, route discovery time and % of packet drop are analyzed graphically for proposed routing protocols. The default values for AODV are ART =3 and n = 5.Finally this paper presents the Performance matrices evaluation and comparison of AODV and AOMDV routing protocol by varying Active Rote Timeout (ART) and Delete Period Constant (n) at different Source –Destination (node) pair using opnet 14.5.

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This paper presents an algorithm for minimizing the generator fuel cost and active power loss based on voltage stability using Genetic algorithm. The generator fuel cost and active power loss are mitigated by the management of reactive power via FACTs (UPFC). The optimal power flow is computed using N-R technique subjected to operational and stability constraints. The developed algorithm has been implemented on the modified IEEE 30-bus system and compared with Particle swarm optimization technique. The obtained results indicate that the Genetic algorithm (GA) provides better optimized solution than Particle swarm optimization technique (PSO).

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Unidentified fingerprint has been recommended as a suitable solution for the authorized sharing of multimedia contents with patent protection whilst preserving the confidentiality of buyers, whose identities are only shown in case of prohibited re-distribution. However, most of the existing unidentified fingerprinting protocols are unrealistic for two main reasons: 1) the use of intricate protracted protocols and/or homomorphism encryption of the substance, and 2) a unicast advance for contribution that does not extent for a massive Number of buyers. This paper stems from a foregoing proposition of recombined fingerprints which overcome a number of of these drawbacks. Yet, the recombined fingerprint approach requires a intricate graph seek for traitor tracing, which needs the involvement of other buyers, and honest proxies in its P2P allocation scenario. This paper focus on removing these disadvantages resulting in an proficient, scalable, privacy-preserving and P2P-based fingerprinting system.

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Future smart grids are becoming smarter by applying intelligent control techniques. In this paper, a hybrid energy system consisting of wind, photovoltaic and fuel cell designed to supply continuous power to the load. Wind and photovoltaic are the primary power sources of the system to take full advantage of renewable energy around us. The FC is used as a backup and long term storage system. For a stand-alone application, a battery is also used in the system as short term energy storage to supply fast transient and ripple power. In the proposed system, the different energy generating sources are integrated. Dynamic models for the main system components, namely, wind energy conversion system (WECS), PV energy conversion system (PVECS), fuel cell, power electronic interfacing circuits, hydrogen storage tank is developed. Solid Oxide Fuel Cell (SOFC) types of fuel cells has been modeled in this paper & also based on the dynamic component models, a simulation model for the proposed hybrid energy system has been developed using MATLAB Simulink. The overall power management strategy for coordinating the power flows among the different energy sources is presented also in this paper.

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Multi Input Multi Output (MIMO) system multiple antennas are put to use at the transmitter section and the receiver section. By a single radio channel, MIMO transmits and receives two or more data streams. Then the system can discharge two or more times the data rate per channel without any additional transmit power or bandwidth. The put together of multiple antennas at the transmitter mixed with the help of advanced algorithms which are based on digital signal processing and the receiver yields expressive advantage in terms of diversity and capacity. spatial multiplexing and Space-time block coding and are MIMO based techniques that provide link quality and high magnitude in the system. SM and STBC can be combined to give a transmission scheme that will give a maximum average data rate over the MIMO channel and minimize the order of diversity for each stream. The basic parameters that describe the quality of wireless link include Speed, Range and Reliability. There is always a trade-off to achieve all three qualities. But an attractive candidate in this regard is MIMO system which can increase all of the above, examine and note the similarities or differences of, to single antenna system. MIMO exploits multipath rather than moderate it. Space Time Block Code (STBC) is a special form of MIMO and originally employed for 2 transmit and 1 receive antenna by Alamouti under flat fading circumstances.

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This paper presents a new speed and current estimation technique. The sensor-less speed control method used is model reference adaptive system, which is done by using reference quantities (i.e., currents and voltages) in reference model and actual quantities (i.e., currents) in adjustable model. The current estimation is done by using the vector rotator and extracting the information about the phase currents in two phase stationary reference frame by using corresponding synchronous reference frame variables. This proposed speed control and current estimation technique are immune to the variation of stator resistance. The proposed system uses space vector pulse width modulation (SVPWM) in order to obtain switching pulses for inverter with fewer ripples. In-order to improve the power factor and thereby reducing power quality issues zeta converter is used. The proposed system is simulated in MATLAB/Simulink.

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Wireless sensor networks have been employed to collect data about physical phenomena in various applications such as habitat monitoring, and industrial monitoring, and surveillance. As an emerging technology brought about rapid advances in modern wireless telecommunication, it has attracted a lot of attention and is expected to bring benefits to numerous application areas including industrial WSN systems. The device is combined with the newest ARM7 programmable technology and the intelligent sensor specification. Performance of the proposed system is verified and good effects are achieved in practical application of WSN to industrial environment monitoring .We manually measure physical parameters in the industry like temperature, smoke and light detection which is very difficult and inaccurate. A normal person cannot show any interest to measure those physical parameters value. To avoid this difficulty we are going for our proposed system. Here is the proposed system describes the development of a wireless industrial environment measuring temperature, smoke, human detection and light detection. Where the wireless connection is implemented to acquire data from the various sensors, in addition to allow set up difficulty to be as reduced. By using Bluetooth technology we send the sensors data to authorized person.

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Nowadays, the natural fibers from renewable natural resources offer the potential to act as reinforcing materials for polymer composites, alternative to the use of glass, carbon and other man-made fibers. Among various natural fibers, Sisal and sisal are most widely used natural fibers due to their advantages like easy availability, low density, low production cost and good mechanical properties. Attempts have been made in this project work to study the effect of fiber loading and orientation on the mechanical properties of Sisal and glass fiber reinforced epoxy based hybrid composite with and without cryogenic treatment. Improvement in the mechanical properties of hybrid composite has been observed after cryogenic treatment.

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The aim of this paper is to detect the selfish nodes and improves the network performance in Mobile Ad-hoc network (MANET). MANET is a self-organization network in which the mobile devices are connected by the wireless links. In MANET, nodes can freely move in any direction while communicating with each other. The nodes are participated in packet forwarding should be co-operate with each other. If the nodes does not forward the packets to destination means that will be considered as selfish nodes. There are many techniques are available for detecting selfish nodes. In this paper I have provide the comparative study of different type of methods to increase the selfish node detection and improve the network performance and precision speed and network throughput.

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Cloud Computing promises a scalable communications for meting out big data applications. It is web based computing, used to share resources to a computers. The phrase big data has expand hastily in the framework of data mining and business brains. The need of sheltered big data storage service is more enviable than ever to date. We must highlight that big data does not just involve large volumes of data also the stipulation for scalability, to guarantee a response in a conventional elapsed time. This model is cloud computing, and among its main features we has to hassle its flexibility in the use of computing resources and spaces, less management effort, and bendy cost. We edge on those systems for wide analytics based on the Map Reduce scheme, its open-source implementation. In this paper, we first explain the security model of cloud computing, and then analyze the feasibility, threats and security in cloud computing in terms of wide existing methods to control them along with their pros and cons.

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Internet is served as a diagnosis tool to facilitate patient-doctor communication. Online health services are deployed to provide remote medical assistance. Community based health services supports automatic disease inference identification for online health seekers. Question and Answer (QA) sessions are suffered with the vocabulary gap and incomplete information. Deep learning scheme is applied to infer the possible diseases using Question and Answer data values. Global learning component is used to mine the discriminant medical signatures from raw features. In local mining raw features and their signatures are updated into the input layer and hidden layer. This paper presents a survey on medical terminology based ontology for improving the relationship in word and detecting diseases.

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Clustering analysis is a key point used by data processing algorithms in Data Mining. The primary aim of Clustering is to segment the data into more diminutive subsets called clusters, such that the data belonging to the same cluster are similar with some similarity metric. Clustering is imperative idea in data investigation and data mining applications. Over years, K-means has been popular clustering algorithm because of its ease of use and simplicity. This paper presents the introduction to cluster analysis in the field of data mining, where to be the discovery of useful, but non-obvious, information or patterns in large collections of data. Much of this paper is necessarily consumed with providing a general background for cluster analysis, and also discusses a number of clustering techniques that have recently been developed specifically for data mining.

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Text data mining is research technologies to mine valuable knowledge from massive collections of documents and to improve a system to offer information and to support in decision making. Clustering is an automatic wisdom methodology aimed to combine a set of objects which are similar to each other. Text clustering has turned into a challenging process in recent centuries because of the massive quantity of unstructured data is presented in several formations. In Text document clustering grouping of text documents arises based upon their similarity. There are many rapid and high-excellence document clustering algorithms available which play a main role in efficiently establishing the information. In this paper we are going to discuss various methodology of clustering which is based on the document similarity.

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Over the last few decade reversible logic circuits have attracted considerable attention in improving some fields like nanotechnology, quantum computing, cryptography, optical computing and low power design of circuits due to its low power dissipating characteristic. In this paper we proposed the design of 4-bit Johnson counter with reduced number of reversible gates and derived with constant inputs, garbage output and number of gates to implement it.

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Todays in the world of an information technology, android covered a huge market. It’s become an important factor for all human being. We all are mobile communicators. If any user using their smartphone, they are almost assured to be using it for communication of some sort. There are most important three things that make a smartphone a great mobile communicator which are text input, great notifications, and compatibility with whatever communications services your friends, family, and colleagues use. Android is a mobile operating system currently developed by Google. Due to the open nature of Android, a number of third-party application marketplaces also exist for Android. Android is designed primarily for touchscreen mobile devices such as smartphones and tablet computers. A smartphone is a mobile phone with an advanced mobile operating system which combines features of a personal computer operating system with other features useful for mobile .Android is an open source platform. In our project we developed one android application Location based task reminder system using android system in smartphone. In this application through GPS and Google Map we are fetching the current location of users in mobile phone. Global Positioning System mainly used to tracking the device specially designed for personal information. And People used this system to show or displayed their current location at very less time. By using Google Maps, each task can be drawn out on the map with all the locations to be visited and assigning the tasks as required. Now user select their task which they want to perform and then allow them to set reminder for that task on that particular location .In such a way user can add multiple task and set reminder for that task at multiple location. This make very effective for the user to complete their task at exact time with an efficient manner. In our application we provide functionality where user will also be able to view contacts, sums and location at a time.

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Obstacle avoidance is the back bone of autonomous control as it makes robot able to reach to destination without collision. Robot generates the shortest path from source to destination on the basis of sensorial information of environment. In this paper, solar operated low cost solution for obstacle avoidance in a robot has been simulated and experimentally tested. Design of the robot, algorithm and simulation ensure the direction of robot and LCD display. Simulation in Proteus 7.7 professional software, programming in Keil_uVision4 software and low cost solar operated 12V solar rechargeable battery have been discussed in the present work.

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Leaf springs are used in vehicles for suspension purpose in all type of vehicles. Ample amount of work has been done on the analysis of leaf spring. Researcher focused on the analysis of stresses developed in spring by using different FEM tool also several worked on predict fatigue life of leaf spring. After review of available literature on leaf spring it is found that the very few literature is available on analysis of springs used for light commercial vehicle. Also there is scope of experimental analysis of spring by using different methods like photoelasticity and strain gauge.

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For efficient taxi business based on GPS has become an important tool, the taxi fleet management system. It can be used providing useful information for taxi drivers to earn more profit by mining the historical GPS trajectories and also for the sake of fleet management. For next cruising location which could be a value added module of the fleet management system, we proposed a taxi recommender system. To provide the similar objective we investigated, three factors considered in different works, which are distance between the current location and the recommended location, for next passengers waiting time, and expected fare for the trip. In addition to these factors, based on drivers experience which is the most likely location we consider one more factor to pick up passengers given the current passenger drop off location. To capture the relation between the passenger get-off location and the next passenger get-on location, a location-to-location graph model, referred to as OFF-ON model, adopted. To estimate the expected fare for a trip started at a recommended location we also adapted an ON-OFF model, to evaluate the proposed system. A simulator simulates cruising behaviour of taxies in the dataset A real world dataset from CRAWDAD is used and one virtual taxi which cruises based on our recommender system.

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Wireless sensor network contain no of sensor nodes. These networks have a large request in health care monitoring, security disaster management and military, etc. The sensor bumps are very trifling in size and have restricted processing capability and very low battery power. This limit of low battery power makes the sensor network lying to failure. Data collection is a very decisive technique in WSNs. Data collection benefits is the energy depletion by eliminating redundancy. This survey provides a rambling various techniques used for the purpose of data collection and its various energy-efficient uses in WSN. An encounter to data collection is how to vulnerable collected data from disclosing during collection process as well as obtain accurate collected results. In this study we converse about diverse protocols used for protected mutually data in wireless sensor network.

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Friction stir welding joints are used to join aluminium alloys commonly in present industry. Use of aluminium was increased due to its high tensile strength to weight ratio. This article focuses the evaluation for tensile strength of friction stir welded joints of AA 6082 using full factorial design matrix. Tensile behaviour is an important factor to judge a welded joint in industry. Full factorial is used to get the best combination of parameters for higher tensile strength. Optimized combination of parameters are trying to be found using welding parameters i.e. rotational speed (1000-4000 rpm), travel speed (10-40 mm/min) and tool pin length (4-5mm). Results show that with higher rpm, lower travel speed and higher ping length gives the better results.

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