The purpose of the present study is to design floor cleaning machine. Designing the processing equipment of agricultural products requires information about their physical and mechanical properties. Cleaning is a very necessary and unavoidable daily routine. Cleaning machines are getting very popular in this busy and aging population. Nowadays even farmers want easy working and good crop in a short period of time for which reason they are attracted towards mechanical and electromechanical equipment and machinery. Keeping these factors in mind, in this project “design and modeling of cattle shed cleaning machine” it helps farmers for easy cleaning and maintenance of their cattle shed. This serves the basic needs of cleaning large and medium shed. In this project the blade which is at the front will carry and lift the cow dung to the carrying tub which is placed back to the blade by manual lifting mechanism. And the motor fitted to brush through pulley by means of belt, which helps in cleaning the floor. The water supply is arranged such that it will help in easy cleaning. By this way my work helps farmer for easy and quick cleaning of their farms.

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In today’s technology, there are new attacks are emerging everyday due to that the system makes the insecure even the system wrapped with number of security measures. To detect the intrusion, an Intrusion Detection System (IDS) is used. To detect the intrusion and respond in timely manner is its prime function. In other words, IDS function is limited to detection as well as response. The IDS is unable to capture the state of the system when an intrusion is detected. So that in original form, it fails to preserve the evidences against the later examination. In this research work, there proposed an automated Digital Forensic Technique with Intrusion Detection System. It sends an alert message to capture the state of the system, to administrator followed by invoke the digital forensic tool Once an IDS detects an intrusion. To prove the damage Captured image can be used as evidence in the court of law.

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Now-a-days, Natural Fibers appear to be the outstanding materials which come as the viable and abundant substitute for the expensive and non-renewable synthetic fibre. These, Natural fibers are not only strong and light weight but also relatively very cheap. Among several natural fibers, Pineapple leaf fibre (PALF) is one that has good potential as reinforcement in polymer composite, it was extracted from raw pineapple leaf. Jute is the most widely used natural fibers due to its advantages such as ease of availability, low density, low production cost and moderate mechanical properties; it was extracted from stem of the plant. The hybrid (PALF and Jute) fibers was then chemically treated and dried in hot air oven to hinder the water content. In this present work the hybrid composite specimens were prepared by using Bisphenol-A (BPA) as a matrix and the short hybrid (PALF/Jute) fiber with length of 9mm and 30% volume fraction as reinforcement were prepared by hand lay-up technique. The study is made to show the tensile properties difference between unirradiated and gamma irradiated hybrid composites. The hybrid composites were irradiated at 1, 2, 3, 5, 10, 15 and 20 kGy using cobalt-60 source in the presence of air. The results showed that, hybrid composites irradiated at 5 kGy radiation dose delivered the best possible results.

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The present study discussed the assesse of the chemical and physical quality of groundwater of Dehradun City for domastic purposes. Groundwater sample was collected on the 27 sample location from Tube wells and Handpumps. The water sample was analysed of the physical and chemical parameters. The pH is varying from to and EC is varying from to. The analyzed groundwater only chemical characteristic was compare to the types of water as well as piper and chadha’s plot. Piper and chadha’s diagram was ploted for the comparing the results of water types. Most of the samples (approximately 90%) were showed that the Ca-Mg-HCO3 type of water in both methods. Piper diagram is ploted by the aquaChem 2011.1 software.

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Security in transmission of medical images is big issue in hospital data management. For security purpose increase security level of medical images is important. Secure transmission requires encryption decryption, digital signature, watermarking like techniques. Watermarking in medical images are used for authentication, effective data management and distribution, data storage, security, access control. Digital marked is used for identification of owner and preserve the copyrights of user. The main objective of this paper is present survey on security medical images. Various types of techniques are used for protect medical image, performance of all those techniques are measured using recent research. Finally the reviews compare some recent work of watermarking techniques which is helpful for protect medical image.

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The data mining and machine learning is perception of pattern learning and investigation. In this perception a structured and unstructured both category of data can be analyzed. Structured data can be establish in any variety of relational structure and unstructured data is establish in straightforward text method. There are a quantity of dissimilar kinds of method are obtainable for structured data processing but there are the minority quantity of efforts are located for unstructured data analysis and their accurate analysis. in this survey paper we obtainable for discover an resourceful and accurate technique by which the unstructured data and their semantics can be analyzed in additional effectual way. In order to fusion classifier is prepared for improving the performance find such variety of method a number of approach are analyzed and a nearly all promising attempt is obtained. Using this technique a novel of obtainable classification method. The proposed method perception hybridizes the conception of Bayesian classification and after that the data replica is prepared using the neural network throughout the classification test cases the data is over analyzed for with the similar process and weights are aggregate for essential the text class labels. According to this test cases the consequences and presentation of the system is estimate.

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Plants is the heart of an agriculture field and its become an important source of energy as well as financial income. Much level plantation use to solve problem of global warming also. Today many of person have agriculture as occupation. So there is a huge source of plants, but due to the affect of environmental condition or as whether climate change, many of the non native disease are occur on plants and causes social, ecological and economical losses. many of the farmer are unable to recognize that new disease. Sometimes Normal human eyes can not predict this ,it will badly affect on production from plant and quality.so farmer needs expert person who recognize the disease and symptoms appearing on the plant leaves, this will increase the cost of farming. To reduce this we introduce one android application which diagnosis and identify the symptoms of disease on plant leaf.so it will save the major problems occur due to plant disease. our system work on such plants which are infected by many disease that is fungi, viruses etc to detect, classify plant disease by using image processing technique. It identify the actual type of disease and give its preventive measures and related recovery notations are displayed by using invert algorithm. And finally we get all information regarding that disease its symptoms, its preventive mechanism and recovery suggestion at very least time and low cost.

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In communication Signals have to be filtered with a specific bandwidth. In microwave region, the filters are designed on microstrip line. In this paper the designing of different types of microstrip low pass filter like: stepped impedance and by using open circuited stubs is done. These filters are of the order of three and five, to improve the frequency response characteristics of microstrip low pass filter. The development of the Micro strip low pass filters are simulated by using IE3D simulator software and analysis this resultto: control manual functions, view faults and operate machine.

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A key challenge in privacy-preserving data mining is maximizing the usage of data by minimizing the privacy risk. The organization provides the data that must be both useful and also with contains low risk of confidentiality disclosure is the main aim. The Concept of recognizing the de-identification of data is generally inadequate to protect their confidentiality against attacker so, disclosure limitation techniques can be used to the original data to reduce the risk. Desirably, the resulting restricted data have both high data utility to users (analytically valid data) and low disclosure risk (safe data). The organization applies a set of transformation to the original data before accessing it. This study aims to examine an approach to permit dissemination of explicit data to a wider range or data utility of public constituents and at the same time protects the identities of original data. In this paper maximization of the data utility is addressed by maintaining its risk below a certain acceptable threshold.

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Education System in recent years has been a progression, in Indian and Abroad Education system. In choosing a higher education institution by the students. The main key terms of choosing an institute are pursue knowledge, institute accreditation, institute ranking, freshman retention, graduation rates and strength of the faculty resources, location, feel of campus life, placement records, research activities, course duration, course outcome, academic offerings, activities and sports, cost of the availability of financial aid and etc. This paper proposes to address the student mobility in selecting an institution to pursue higher education in abroad/India based on the above mentioned key terms by having a deep analysis using Data Mining Classification and prediction Model Techniques using R language with Rattle Package.

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The most common way to diagnose cardiac arrhythmia is the ECG signal analysis, usually starting with the assessment as the most significant waves in the electrocardiogram. Hence ECG feature extraction plays significant role in diagnosing cardiac diseases. These features decides the functioning of heart of every human. All these techniques and algorithms have their advantages and limitations. This paper discusses various transformations and classification techniques proposed earlier in literature for extracting feature from an ECG signal.

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Parking is one of those universal challenges most people can relate to. Parking causes congestion on our city streets, contributes to pollution, and causes motorist frustration in most cities around the globe. As we look at ways to apply technology to tackle some of the most pressing issues facing our cities today, parking is ripe for innovation. Here are a few interesting facts: first, 20 minutes is the average time spent looking for a parking space globally, second, 30% of city traffic consists of people looking for parking, third, 60% of drivers have given up on an activity recently due to the difficulty of finding parking [5]. This paper introduces the proposed architecture of Smart Car Parking system which will provide real-time parking availability information to make it easier for drivers to find a parking space. Image processing detects vehicle occupancy are providing the basic intelligence behind smart car parking systems

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