Every country in the world is on a mission to convert and utilize renewable energy sources like wind energy, solar energy, geothermal energy etc., due to perishing and exhausting non-renewable energy sources like fossil fuels, natural gas, oils, etc. Every major country of the world is on a vision to utilize wind energy by 35% for their electrical needs by 2030. Yet the major problem is that many backward countries in the world are that they are facing major electricity shortages due to their inability to invest in power plants and to buy electricity from other countries. Though the renewable energy sources like wind energy are efficient the major problem is the initial investment cost. The backward countries cannot invest in such a huge project. In order to achieve the world vision for wind energy and to provide electricity even for remote areas, this paper aims at developing the wind turbine which is portable and can be carried and can be installed on the roof tops of the houses and in the remote areas of the world, places and in remote areas with less population density. The design of portable wind turbine is carried out in Solidworks Part Design, the fluid flow analysis is carried out in Solidworks Flow Simulation and structural analysis is carried out in Solidworks Simulation.

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Anomaly detection refers to the problem of finding arrangement in data that do not conform to normal behavior. These nonconforming patterns are often referred to as anomalies, oddity, discordant observations, exceptions, aberrations, disappointment, peculiarities. The importance of anomaly detection is due to the fact that anomalies in data translate to significant, and often severe, actionable information in a wide variety of application domains. Many anomaly detection techniques have been specifically designed for certain application domains, while others are more generic. This survey tries to provide a framed and comprehensive overview of the research on anomaly detection.

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This paper is based on the optimization of the turning parameters of the lathe machine by the Taguchi method. In this paper, we will choose Surface Roughness to be used as output control parameters and spindle speed, feed and depth of cut as input control parameters. And input control parameters are taking up to three levels. We are choosing Conventional Center Lathe for the experiment. After compiling the optimum parameter, we have composed the ANOVA table of contents in which the percentage contribution of the input parameter is shown, which is according to the reduction of surface roughness.

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This paper reveals that there has been little empirical examination of gender differences in the relationship between stress and functional impairment at work; still less attention has been paid to gender differences in the stress-work relationship in the military. As issues of gender and equity in the military are debated in the media and policymakers rethink gender integration, information is needed to provide an empirical basis for informing critical military and public policy decisions on how to structure the training and working relationships of men and women in the armed forces.

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A color image can be compressed and encrypt using scan pattern. The methodology used here is a combination of different scan pattern which is used on the binary images derived from each component image of a color image. The color image is first split into three component images (red, green, and blue). After that each component image is further split into its corresponding bit planes. As bit plane image is a binary image, the algorithm is applied on each bit plane. And then all the bit plan is combined together to get the compressed and encrypted image. The compression scheme used here is run length coding. At first the bit plane is rearranged using a set of can pattern, which forms the encrypted image. The combination of scanpaths is kept secret and it is used as the key for encryption. After encryption is done, run length coding is applied on the encrypted image to compress them. Each bit plane is operated like the same and then combined to attain the final output. The aim of the work is to find a good combination of scan path, which can represent the image using least number of bits.

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Nature is a unique source of structures of high phytochemical diversity, many of them possessing important biological activities and medicinal properties. Stevia rebaudiana plant has been used for centuries as a medicinal herb and sweetener. The ethanol extract of Stevia rebaudiana leaves was qualitatively analyzed by thin layer chromatography and separated on silica gel column. The column was eluted with different solvents in their increasing order of polarity. Purification of the dichloromethane (CH2Cl2) fraction of ethanol extract resulted in the isolation of triterpenoid Lupeol 3-(4'hydroxy) dodecanoate, 27-ol, 28-undecanoate. The structural elucidations of the compounds were accomplished by spectral analysis including IR, NMR, 13C-NMR (DEPT-135), ESI-MS and literature survey.

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The area of mobile technology opens the windows to the android app. The websites are disappearing and the mobile phones are prominent. It's the time to change from conventional websites and other things to apps, which has become the part of our daily routine. We are introducing "Voice To text" the android application software which would convert the voice to text. So our main aim is to reduce paper work and time. Displaying any message almost immediately without any delay just by sending voice through SMS display on the LCD. The short message's are displaying on the notice board. The developed system will therefore aims in wirelessly sending the short information with intended users and also helps in saving the time and the cost for paper work.

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This paper presents the design and implementation of a GSM based remote operation of an energy meter which gives the solution to power theft, consumption control, auto billing and payment, data logging and Manpower reduction in power distribution and management. The aim of this project is to provide energy consumption measurement and its united billing scheme. The materials and method deployed herein is the use of a micro-controller unit that continually monitors the meter interfaced with a GSM MODEM with a dedicated SIM for remote operations. The way used to carry out this project is the principle of serial communication with the help of embedded systems. The meter provides respective billing Information on a LCD screen.

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In this paper, we introduce and investigate a new class of contra continuous mapping in vague topological spaces namely vague contra generalized b continuous mapping and vague contra generalized b irresolute mapping. Further we obtain some of their properties.

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India is facing a water crisis and by 2025 it is estimated that India's population will be suffering from severe water scarcity. With increased population growth and development, there is a need to critically look at alternative approaches to ensure water availability. These alternative resources include rainwater and bulk of water used in household will emerge as grey water and contain some minerals, organic waste materials dissolved and suspended in it. The main goal of this paper is to propose some efficient, cheap and sustainable grey water treatment systems for households. The treated grey water can be used for non-potable use purposes such as irrigation, toilet flushing, car washing and dust control as well as to recharge the aquifers. The imbalance between water demand and supply has become a significant concern of human life as demand is increasing exponentially. So implementation of alternative water supply options has become an inevitable need for urban water management. There are various kinds of grey water treatment systems around the world. A review of those processes has been done to identify the best suited processes at household and community level. Septic tank, constructed wetland and intermittent sand filter are identified as the most suitable processes for decentralized treatment due to the simple operation and maintenance facilities as well as cost effectiveness of these systems. The use of gray water is becoming more and more common, especially in areas where water resources are scarce. The use of grey water is, therefore, the last option for the water conservation. Grey water use is important because it restricts fresh water demand and reduces stress on treatment system. These alternative resources include rainwater and bulk of water used in household will emerge as grey water and contain some minerals, organic waste materials dissolved and suspended in it. When this is allowed to flow out this will join the sewage and bacteriologically contaminated, resulting in a sewage stream. It is possible to intercept this grey water, at the household level, treat it so that it can be recycled for garden washing and flushing purposes.

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Thesis is based on fracture mechanics, where the behavior of linear elastic fracture mechanics (LEFM) is taking into account. The general theory of LEFM, criteria and models for simulate the crack trajectory due to crack propagation and lifetime estimation due to cyclic loading is described. For this purpose some of the fracture tool conducted of Dr. G.R Irwin is taking into account. The Thesis start with determining crack behavior due to propagation and lifetime estimation. Numerical solutions is conducted in MATLAB, and a process of programming to obtain generals numerical solutions for crack trajectories is accomplished. In order to verify the numerical solutions from MATLAB, experimental results is taking into account for benchmarking.

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This paper describes the automation of the identification of rice plant diseases using multi SVM algorithm. Productivity of rice decreases due to infections caused by various types of diseases in its leaf and stem. Leaf diseases are caused by bacteria, fungi, virus etc. Diseases are a major factor limiting crop production and diseases are often difficult to control. Without accurate disease identification, proper control methods cannot be used at time. Image processing is popularly used technique to identify the plant diseases detection and classification. Initially the diseased region is found using K-means clustering, then both color and texture features are extracted. Finally classification technique is used to detect the type of rice disease. A web server is connected to the system so that individual can upload the infected plant image and identify the disease. The proposed system can successfully detect and classify the examined diseases with over 84.41% accuracy.

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Special theory of relativity yields length contraction of moving objects in the direction of motion. In this paper, we applied length contraction to a moving curve. We observed how equation and shape of a moving curve changes with respect to a stationary observer when the velocity of curve is increased.

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Water is precious source which is available in highly irregular fashion. Due to rapid urbanization, the exposed soil surface gets diminished and ground-water recharge gets drastically reduced and therefore natural ground water recharge gets affected. The objective of this paper was to investigate the ground water contamination and to analyze its impact on the human life. The area is mostly covered with weathered rocks except certain patches. It is seen that less weathered rocks are capable of releasing good quality of major cat ions such as Na, K, Ca, Mg and SiO2 and sulphates on weathering. The weathering is very slow at pH 7 to 8, resulting in change in chemical composition of groundwater in crystalline rock area. When the water samples were subjected to the parameter analysis it was found that the Hardness, BOD, DO, Carbonate were high in quantity, which is not suitable for domestic activity. In this study area human inhabitation is mainly depended on bore well water for drinking and agriculture purpose, due to this the groundwater conservation is severely affected and due to this water crisis problems are experienced during summer.

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Super-resolution imaging (SR) is a class of techniques that enhance the resolution of an imaging system. A highly compressed image is usually not only of low-resolution, but also suffers from compression artifacts. Directly performing image super-resolution (SR) to a highly compressed image would also simultaneously magnify the blocking artifacts, resulting in unpleasing visual experience. The objective of SR techniques is to reconstruct the original image without any artifacts. This paper describes the overview of the various SR techniques in a systematic manner. The various techniques namely Maximum Likelihood, Maximum a Posteriori, Joint MAP restoration, Bayesian Treatments, Example-based approach, Set theoretic restoration methods. It also provides the image with better visual quality with reduced compression artifacts.

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Digital image processing is the use of computer algorithms perform image processing on digital images. As a subcategory or field of digital signal processing, Digital image processing has many advantage over analog image processing. It allow a much wider range of algorithm to be applied to the input data And it can avoid problems such as the buildup of noise and signal distortion during processing. A digital image is a affirmation of a two-dimensional image as a precise set of digital tenets called picture elements or pixels. Pixel values typically represent gray levels, colors, heights, opacities etc. In this study, morphological transform operation is carried out on medical images to enhance the dissimilitude and quality. A disk shaped mask is used in Top-Hat and Bottom-Hat convert and this mask plays a vital role in the operation. Different types and sizes of medical images need different masks so that they can be successfully enhanced. The method shown in this study takes a mask of an arbitrary size and keeps varying its size until an optimum enhanced image is obtained from the transformation operation. The enhancement is achieved via an iterative exfoliation process. The results indicate that this method improves the dissimilitude of medical images and can help with better diagnosis. Image is the main source of human access and exchange of information. The application of digital image processing in medical engineering is very scopic, and the result is very effective. Medical digital image processing can reduce the effect of noise, enhance the image and improve its quality. Processed images can accurately reflect the focus of disease and visually communicate medical and pathological information of the image.

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Cloud computing is a type of internet based computing that provides shared computer processing resources and data to computers and other devices on demand. In cloud computing data and applications are hosted on a cloud. A cloud consists of a pool of IT resources, such as storage devices and servers that are kept in the data center. These resources shared by using the internet in this enterprises, to access resources from the cloud on demand, cloud computing to manage resources while allocation. The scheduling mechanism is defined under parameters of resource utilization and the load balancing but in the proposed study we have planned to include a new parameter of user query satisfaction. The cloud environment taken in this work is the public cloud environment with multiple clouds. The work is performed on a generic system that can have n number of clouds. The obtain results shows the successful execution of all the processes within time limit.

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In the present days these manufacturing operations are done by using computers, which reduce the manufacturing time and side by side improves the product quality. CNC lathe replaces the traditional lathe due to its better performance characteristics. CNC boring machining process can enlarge the hole with better surface finish in any type of material and at any required dimensions. The correct selection of cutting conditions is an important aspect for any machining process to achieve the higher performance. In CNC machining processes the performance is measured mainly in terms of metal removal rate and surface quality. The present experimental work deals with the effect of various cutting parameters of boring operation on mild steel work piece. The complete work is done on a CNC lathe model TL 250 installed at Puran Singh and Sons CNC works, Ludhiana, Punjab.

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main objective of this analysis is robustly completely differentiating different varieties of anomalies in videos of jammed scenes. And additionally this state of affairs is employed to make sure the lustiness to extend accuracy within the detection of native, non-dominant anomalies, and achieves a lower machine price. Methods: The analysis has been done by varied strategies to produce the economical anomaly detection results. The various effective techniques square measure thought of to search out the appropriate best technique. Findings: The findings of this work prove that the primarily based detection methodology provides higher result than alternative approaches. Application/Improvements: the varied analysis works has been analyzed and evaluated. From the analysis, the primarily based detection methodology is found to be higher for anomaly detection and additionally superior performance is achieved in terms of machine price, recall and detection accuracy.

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Revolutionary changes to materials and structures are now possible with 3D printing, bringing concepts that you previously only imagined to reality. In conventional manufacturing processes, such as machining, material is typically removed. Additive manufacturing (AM), commonly known as 3D printing, is a breakthrough technology which fabricates components by adding material layer by layer from the bottom up. This allows for the creation of highly complex and previously unrealizable structures which have radically improved performance and capability such as high strength and low weight. Additionally, these technologies enable mass customization and rapid design iteration. For example, medical implants can be designed to fit a specific patient and rapidly printed. This research paper focus on properties of different 3D printing materials used and how to select a good material for specific purpose.

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Agriculture is the main occupation and important source of national income in India. In India, every year almost 18% of the crop yield is lost due to various pest attacks like fungus, virus and bacteria which causes infection to plants and affects on quality and quantity of production. To understand the increase in harmful insects and various pest attacks on crops, farmers mainly depends on visual judgment which is less accurate. As the agriculture is backbone of Indian economy taking utmost care of food production is necessary. Hence it is important to provide advance solutions to farmers for accurate analysis of defects and insects on plants. In this paper we have done comparative analysis of various papers which are based on plant disease detection techniques. So we are trying to analyze those papers to suggest various techniques for plant disease detection and issues related to it.

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With the progress in communication technology, the necessity of information security has become a global issue. Due to advancement in multimedia application, security becomes an important issue of communication and storage of data. This paper is about cryptographic analysis of data using 64-bits Blowfish which is a secret key block cipher having a variable key size up to 448 bits designed in order to secure communication and improve its performance. It iterates simple function 16 times by employing Feistel network. The blowfish algorithm runs faster and prevents unauthorized attack than the popular existing algorithms. Working environment for proposed system is MATLAB.

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WSN is an essential factor for transferring of data in the network. Transmission of data between the users in the network is an important aspect of today, user of the network wants to share their information between other. While sending the data, packets may loss due to the throughput of the network it may loss the packets and the data were thieved by the attackers. Increasing the throughput backpressure algorithm was used to transferring the data without interrupt but secured level of data transaction is also an important aspect what everyone wants. For the secure data transmission embedding the secret information was used for sharing secret data, embedding process cryptography method plays a key role. And also trusted node was created for optimizing the data and transfers it in a secure way.

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This paper discusses the evolution of full adder circuit in terms of lesser power consumption. A High performance Low-power design is the demand of today's world. A Full adder is a basic and most important digital component. Adders are commonly used in microprocessor and digital signal processing chips. Proposed full adder cell implemented using XNOR-XOR (2T) design style. Pass transistor logic has been used to implement the XNOR gate and an inverter is used for implementation of XOR gate. Here the proposed full adder design compared with conventional full adder. The comparison is made on the basis of power dissipation, delay, and PDP. All the simulation work had been done on 130nm CMOS technology. The schematic of circuit and simulation is done using Pyxis Mentor Graphics software.

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Due to global civilization and industrialization, there is a great demand for the water. A small fraction of the same is utilized and rest is being generated as wastewater. The disposal of such wastewater into water courses creates an adverse impact on the human health, flora and fauna. With the introduction of precise effluent standards it is the responsibility of wastewater engineer to treat the wastewater to satisfy the requirements of receiving body. Hence the safe disposal of such wastewater either on land or water bodies is the most challenging task before the engineers. This project is study to show the general wastewater characteristics collected from the Sugar Industry and also to treat by Sequential Batch Reactor, This SBR process involves tank in which aeration as well as settlement can be carried in a batch basin. Result showed removal efficiency for Sequential Batch Reactor for Chemical Oxygen Demand and Biochemical Oxygen Demand was efficient for treating waste at variation of concentration and time variation. It is also seen that the other parameters after treatment are within desirable limits of effluent standards as per CPCB, New Delhi.

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