The process by which biomass can be converted to a producer gas by supplying less oxygen than actually required for complete combustion of the fuel is known as gasification. It is a thermo-chemical process and it is performed by a device known as gasifier. For executing the gasification experiments nowadays single throated gasifier uses sugarcane industry waste. In the present study we get to know that sugarcane briquettes are manufactured from residue of sugarcane which is used as a biomass material for the gasification process. Briquettes are formed by extruding the sugar which is extracted from the residue of sugarcane (bagasse) dried in the sun. Equivalence ratio, producer gas composition, calorific value of the producer gas, gas production rate and cold gas efficiency are certain grounds for estimating the performance of the biomass gasifier. The experiential results are compared with those reported in the literature.

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Wireless Sensor Networks (WSN) is an essential guide foe anyone interested in wireless communications for sensor networks, home networking, environment monitoring, target tracking, and surveillance. In wireless sensor network sensor nodes have very limited supply of energy, and also should be available in function for extremely long time (e.g. a couple of years) without being recharged. So consider the energy resource of sensor node and the life time of the sensors, to optimize the query plan, based on user specified accuracy for wireless sensor network. This proposed method aims at optimization of periodical query, with careful consideration of accuracy, along with energy consumption in data communication. User may specify a value/time accuracy constraint, according to which an optimized query plan can be created to minimize the energy consumption. The main objective is to propose an energy efficient algorithm to reduce data transmission and to increase the life time of wireless sensor network.

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Wire-electro discharge machining (WEDM) has become an important non-traditional machining process, as it provides an effective solution for producing components made of difficult-to-machine materials like titanium, zirconium, etc., and intricate shapes, which are not possible by conventional machining methods. Due to large number of process parameters and responses lots of researchers have attempted to model this process. This paper reviews the research trends in WEDM on relation between different process parameters, include pulse on time, pulse off time, servo voltage, peak current, dielectric flow rate, wire speed, wire tension on different process responses include material removal rate (MRR), surface roughness (Ra), sparking gap (Kerf width), wire lag (LAG) and wire wear ration (WWR) and surface integrity factors. Optimization of process parameters is necessary to reduce cost and time of manufacturing. Various optimization and relation finding methods are shown here which are frequently used by researchers. Few conclusions based on existing literature have been extracted from existing literature on optimization of WEDM process parameters.

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The Auction game based Adaptive Position Update strategy for geographic routing, which dynamically adjusts the frequency of position updates based on the mobility dynamics of the nodes and the forwarding patterns in the network. Adaptive position update is based on three simple principles: first principle is nodes whose movements are harder to predict update their positions more frequently (and vice versa), then the second principle is nodes closer to forwarding paths update their positions more frequently (and vice versa) and last principle is Forwarding nodes are selected based on distance and residual energy with bidding among the neighbors. Several experimental analyses, which is validated by NS2 simulations of a well-known geographic routing protocol, Greedy Perimeter Stateless Routing Protocol (GPSR), shows that game based Adaptive Position Update strategy for geographic routing can significantly improve the packet delivery ratio and improve the routing performance in terms of throughput in comparison with periodic beaconing and other recently proposed updating schemes. Finally give a better result in throughput and packet delivery ration by incurring a relatively smaller delay in delivering the packets. As the no. of nodes increases, this results in better packet delivery ratio of around 98%. The tradeoff between packet delivery ratio and Routing Over Head is slightly increased, The benefits of our work further confirmed by undertaking evaluations in realistic network scenarios, which account for localization error, realistic radio propagation, and sparse network.

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The Size of the data is increasing day by day with the using of social site. Big Data is a concept to manage and mine the large set of data. Today the concept of Big Data is widely used to mine the insight data of organization as well outside data. There are many techniques and technologies used in Big Data mining to extract the useful information from the distributed system. It is more powerful to extract the information compare with traditional data mining techniques. One of the most known technologies is Hadoop, used in Big Data mining. It takes many advantages over the traditional data mining technique but it has some issues like visualization technique, privacy etc.

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The embedded technology is now in its prime and wealth of knowledge available is mind blowing. Embedded project has new opportunities for the peasants and benefits them in various aspects. The system has been proposed to monitor the Weather and Control the Humidity of Agricultural Land. This Project Main objective is to control the Water Pump Motor whenever Soil Moisture Decreases below average level using Microcontroller. This Project also Monitor the Rain Possibilities and environmental Temperature. And a detail of weather condition has send to authorized Mobile number. Index Terms Solar Panel, Sensors, Cell phone, Microcontroller, GSM modem.

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In today’s world a huge amount of data is loaded on the cloud storage. The protection of such type of data is main concern. It is somewhat difficult to protect such data against corruption, checking the integrity of data and also representation of failure data. Together with this it is also critical to implement fault tolerance among such type of data against corruptions. The private auditing for regenerating codes which is nothing but the existing system, developed to address such types of problems. The private auditing for regenerating codes can generate codes for such corrupted and incomplete data, but for this, data owners always have to stay online for checking completeness as well as integrity of data. In this paper, we are introducing the public auditing technique for regenerating code, based on cloud storage. The proxy is the main component in public auditing to regenerate failed authenticators in the absence of owner of the data. A public verifiable authenticator is also designed, which is generated by a several keys and can be regenerate using partial keys. We are also using pseudorandom function to preserve data privacy by randomizing the encode coefficient. Thus our technique can successfully regenerate the failed authenticators without data owner. Experiment implementation also indicates that our scheme is highly efficient and can be used to regenerate code in cloud based storage.

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The world we live in had evolved into a world where almost every family has at least one vehicle in their possession to be safe we could assume that each family has on average two vehicles. Now due to the increase in the number of vehicles in the road there is that much of an increase in the pollutant levels being increased onto the environment. The major sources of air pollution are CO, NOx and HC and these are a major degradation factor to the environment. To tackle this problem this paper talks about a monitoring system which is placed on the automobile to measure the pollutant levels emerging from the vehicle. On top of that some safety features have been added as well for the driver and all of the people traveling in the vehicle in the form of an alcohol sensor and a seat belt sensor. How this works is that the sensors are placed on the vehicle and can be connected through the users android device. The android device through a WiFi connection is connected to the server, the server is connected to a database and that database has the administrator PC to view and monitor the data. The safety feature is the addition of the alcohol sensor which is connected to the ignition of the vehicle and how it works is that if the driver has any alcohol and it is detected by the sensor then automobile will not start, hence adding an additional safety measure to the vehicle on top of pollution monitoring. This project works on an IoT environment and there is a lot of scope with smart devices in the future.

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Data mining referred to extracting the hidden predictive information from huge amount of data set. Recently, there are number of private institution are came into existence and they put their efforts to get fruitful admissions. In this paper, the techniques of data mining are used to analyze the mind setup of student after matriculate. One of the best tools of data mining is known as WEKA (Waikato Environment Knowledge Analysis), is used to formulate the process of analysis.

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According to the relevance towards the state priorities the economy of Maharashtra state is dominated by agricultural as well as industrial sector. Sugar factories play an important role in economy of Maharashtra state. About 60 percent processes in these factories are based on roller chain conveyors. Apart from that, other industries also use these chains frequently for process atomization. However, failure of these chains is perennial problem in these industries which causes huge losses to these industries along with its dependents and in turn economic growth of the state. Material uncertainty plays an important role on formation of elastic and plastic stresses. Breakage of chain is also affected due to faulty manufacturing such as wall thickness of link, breaking area of links, bending movement of pin, inner width of chain and shape of the link and uncertainty in heat treatment. Roller conveyor chains are the critical component in sugar mills, paper mill, food processing, fertilizer industry, pharmaceutical industry, cement industry, foundry industry, heat treatment units, coal mines etc. From the previous studies, it can be noted that, even though several patents are filed on roller chains and conveyors, most of the patents are based on metallurgical investigation, improvement of efficiency and performance of chain. Hardly few patents are there on improving life of the chain and minimization of its failure. From the chain failure case studies it can be noted that the root cause of failure was faulty material processing, heat treatment and improper material selection.

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A PHR is nothing but the personal health record related to the patient and patient itself is responsible for maintaining his own personal health record. A Personal Health Record service allows a patient to create, manage, and control his personal health data from one place through the web, in this patient is the PHR owner and he has full rights towords his PHR such as storing ,retrieving ,deleting ,sharing ,provide read write access to the selected users. now here is our intension is to provide security to the PHR and also determining the efficiency of different algorithms in terms of execution speed , performance and most important storage requirements. In the previous work on this topic demonstrates that we required a huge cost for maintaining specialized data centers so instead of creating data centers we are outsourced our PHR data after encryption process. In this framework we have to consider two domains first is private domain and later is public domain. Private domain consist of the people who are very close to the patient such as friend ,family members ,caregiver etc.depending on the relation with the patient ,PHR owner decides the sharing policy . another domain is the public domain which consist of the people from different category such as doctor, insurance company, medical store etc. when PHR owner outsourcing his own PHR file at that time owner of that PHR decides to whom it is shared with. For this operation we are providing separate unique ID’s to each and every category that are included in the framework. Another important flaws of existing work is single trusted agent,with this number of problems created ,as there are number of PHR owner and PHR users and when PHR is shared at that time user demand for secret key so as there are number of users so bottleneck is generated to the single trusted agent and we avoid this by using AA( Attribute Authority) by dividing the key distribution task to more than one attribute authority. Before outsourcing PHR on cloud first we have to make encryption process by using fine grained attribute based encryption . In this framework we are also providing different facilities to the PHR Owner such as Break Glass ,user revocation etc. for scalability and flexibility.

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Technology has elevated to grab an important position in humans life, the best example is smartphones. They offer access to network as well as online banking transactions, where simplification of human labour affects security and user authentication, and passwords are first line of defense, it’s crucial to pick a strong password. Online banking applications currently use alphanumerical usernames and passwords for authentication, which are exposed to eves dropping, attacks, and shoulder surfing. Users often choose either easy to remember passwords, which can be easily guessed or difficult ones, which tend to be forgotten. The paper revolves around the views, limitation of current system and offers a dynamic biometrics, as it can be easily integrated into the existing computer security systems with minimal alteration and user intervention. The main objective is to secure using cued click point (CCP), which is one click based graphical password scheme for sequence of images and measuring, assessing humans typing rhythm, it’s based upon the human tendency to memorize graphical passwords more comfortably.

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The intent of this paper is to study the various forces and stress acting on a rotor shaft of a standard rotavator which is subjected to transient loading. The standard models of rotavator, having a progressive cutting sequence was considered for the study and analysis. The study was extended to various available models having different cutting blade arrangement. The study was carried on different papers and identifies the various forces acting on a Rotor shaft of a rotavator. The positions of the torque and forces applied are varied according to the model considered. The response was obtained by considering the angle of twist and equivalent stress on the rotor shaft. This paper presented a methodology for conducting transient analysis of rotor shaft of a rotavator,

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In case of friction stir welding, the maximum temperature along the weld line within appropriate range at tool workpiece interface is responsible for quality of welded joint. Through this paper, an attempt is made to establish a relationship between the input process parameters and the maximum temperature along the weld line during friction stir welding of aluminium alloy AA-7075. The design of pre-experimental simulation has been performed in accordance with full factorial technique. The simulation of friction stir welding has been performed by varying input parameters, tool rotational speed and welding speed. The analysis of variance (ANOVA) is used to investigate the effect of input parameters on maximum temperature during friction stir welding. A correlation was established between input parameters and maximum temperature by multiple regression lines. This study indicates that the tool rotational speed is the main input parameter that has high statistical influence on maximum temperature along the weld line during friction stir welding of aluminium alloy AA-7075.

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Data mining is a technology used in different disciplines to search for significant relationships among variables in n number of data sets. Data mining is frequently used in all types’ areas as well as applications. In this paper the application of data mining is attached with the field of education. The relationship between student’s university entrance examination results and their success was studied using cluster analysis and k-means algorithm techniques.

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Customers satisfaction is the most important criteria before buying any product. Technology today has grown to such an extent that every smallest possible query is found on internet. An individual can express his reviews towards a product through Internet. This allows others to have a brief idea about the product before buying one for them. In this paper, we take into account all the challenges and limitations encountered while reading the online reviews and time being consumed in understanding quality of the product from the reviews. We include several methods and algorithms that help the consumer to understand the Quality of the product in better way.

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Artificial intelligence techniques are day by day getting involvement in all the classification and prediction based process like environmental monitoring, stock exchange conditions, biomedical diagnosis, software engineering etc. However still there are yet to be simplify the challenges of selecting training criteria for design of artificial intelligence models used for prediction of results. This work focus on the defect prediction mechanism development using software metric data of KC1.We have taken subtractive clustering approach for generation of fuzzy inference system (FIS).The FIS rules are generated at different radius of influence of input attribute vectors and the developed rules are further modified by ANFIS technique to obtain the prediction of number of defects in software project using fuzzy logic system.

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Generally user authentication is done using username and password that is called as login process. This login process is not more secure because, however a login session is still unprotected to impersonator when the user leaves his computer without logging off. Keystroke dynamics methods can be made useful to verify a user by extracting some typing features then, after the authentication process has successfully ended. From the last decade several studies proposed the use of keystroke dynamics as a behavioral biometric tool to verify users. We propose a new method, for representing the keystroke patterns by joining similar pairs of consecutive keystrokes. The above proposed method is used to consider clustering the di-graphs which are based on their temporal features. In this project, authentication system is provide to project management system that make more Secure management system without acknowledging unauthorized user. The Project Management System addresses the management of software projects. It provides the framework for organizing and managing resources in such a way that these resources deliver all the work required to complete a software project within defined scope, time and cost constraints. The system applies only to the management of software projects and is a tool that facilitates decision making.

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Turning metal removal is the removal of metal outside diameter of a rotating cylindrical workpiece. As it is used to reduce the diameter. of the work piece generally to a specified dimension and to produce a smooth finish on the metal. Often, the work piece is turned so that the sections have different diameters. As is the machining operation that produces cylindrical. In its basic form, it can be defined as an outer surface machining: Based on the findings of the Pilot study, actual experimentation work will be designed and input machining parameters and their values finalized. The results are expected to show that the response variables (output parameters) strongly influenced by the control factors (input parameters). So, the results which are obtained after experimentation analyzed and modeled for their application in manufacturing industry It is concluded that for MRR be maximum factor Cutting speed has to be at high level 3, Feed has to be at high level & D.O.C has to be at high level.

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Pressure is an important physical parameter to be controlled in process boiler, heat exchanger, nuclear reactor and steam carrying pipeline. In the article the issue has been face in boiler operation due to pressure is handled. In boiler, the problem is due to maximum and minimum range of pressure. Due to the issues there is a chance to causes the hazop. To avoid such the problem the high and low pressure in boiler has to control. In the paper such the problem has sorted out by implementing ON-OFF control. Here the proposed control action for pressure control is implemented with the help of LabVIEW (Laboratory Virtual Instrument Engineering Workbench) software and NI ELVIS hardware. In the idea the boiler’s low range and high is monitored and controlled valve desirably. And also the high range and low range of pressure in the boiler is signified to plant operator by alarm signal.

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As the military operations concerned surveillance, law enforcement and search and rescue operations are very critical. In past aircraft and helicopter were used for this types of operations. However recently unmanned flying objects (UFOs) are becoming more popular and an excellent resource for surveillance missions. This project is to create an UFO that is light weight, inexpensive and easy to manufacture. The drone is designed as quad copter that includes two cameras and a detector with a wireless transmission system that provide live feed from cameras and detector to ground stations. It will be used in the applications areas like military applications, weather monitoring and many other detection based applications. The idea will be implemented through simulation and testing.

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From the past centuries understanding our universe is brainstorming task, many scientists explained their ways and derived the laws of physics for understanding our universe but till now these laws are modifying. In modern times, a new theory suggests that apart from our universe there are another universes that are separated from our universe which can be identical to our universe. In this paper we are going to explain the facts behind our universe and our identical parallel universe, using a portal to travel in time with some modified concepts.

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Traditional way of recruiting personnel was through a group decision making problem under multiple criteria containing subjectivity, imprecision and vagueness. In order to keep up with increasing competition of globalization and fast technological improvements and changes, Human resource field needs the best fit employee for a job vacancy. This paper proposes a Fuzzy Decision Making (FDM) method for recruitment process of Human Resource management, which is based on the Fuzzy set theory. Different criteria of human resource recruitment process will be given fuzzy linguistic terms such as absolutely low, extremely low, very low, low, medium, high, very high, extremely high, absolutely high depends upon the importance given by the Human Resource manager. Fuzzy Scaled Weight (FSW) will be calculated for all the criteria. Cumulative Fuzzy Value (CFV) is calculated for all the applicants from Fuzzy Scaled Weight values. Interview Fuzzy Value (IFV) is given by the human resource manager for all the applicants attending interviews. Final Fuzzy Value (FFV) will be calculated aggregating both Cumulative Fuzzy Value and Interview Fuzzy Value. Finally, all the applicant records are arranged in the order of FFV values. Then, Human resource manager can select the applicants easily from the arranged list. Fuzzy Decision Making method system is developed to illustrate the above FDM method for the Human Resource recruitment process.

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Fire is greatest genuine interruption which prompts monetary and natural misfortunes. The determination of flame edges is the procedure of a distinguishing limit between the range where thermo-chemical response and those without. It is an ancestor to picture based fire observing, when fire discovery, fire assessment, and the determination of fire and fire parameters. A few conventional edge-discovery techniques have been tried to discover fire edges, yet the outcomes accomplished has baffling. Some examination works identified with fire and fire edge recognition were accounted for distinctive applications; then again, the systems don't underscore the progression and clarity of the fire and fire edges. In this manner, to conquer these issues, applicant fire locales are initially recognized utilizing a foundation model and shading model of flame. The proposed framework was effectively connected to different errands in true situations and successfully recognized fire from flame hued objects. Exploratory results will show that the proposed strategy beats different routines in both of flame target upgrade and foundation point of interest.

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Energy crisis are of special attention now-a-days. In this project presents a new system configuration of the front-end rectifier stage for a hybrid Hydro/wind/photovoltaic energy system. This system allows the three sources to supply the load separately or simultaneously depending on the availability of the energy sources. In household power generation wind and solar are the general hybrid energy options, which are used. But the overhead water tank is one of the neglected energy generation sources which are available in normal household and commercial places. In today’s world each and every source of energy has to be utilized. Therefore we are trying to use the stored energy in overhead water tank for power generation. Solar and Wind energy will contribute major part of power generation. Generated power will be stored in the battery which sources power to inverter and inverter to load. It gives us multiple sources of energy and also helps us to recover some amount of energy which is stored in overhead water tank.

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