Reading text image and text boards is hard for visually impaired persons. A person needs vision to access the information in text. The proposed system reads the text from image text and convert it into speech by using e-speak algorithm. The proposed system includes text extraction from scanned text image using tesseract optical character Recognition (OCR) and convert it into the speech using e-speak tool. The main aim of proposed system is to provide assistance to visually challenged persons. The faces can also be detected when persons move into frame using mode control. This paper proposes a camera based assistive text reading to provide an assistance to the visually impaired persons.

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In this present era the biggest problem which is to be dealt with is non – biodegradable waste i.e polythene. This non bio – degradable waste can enhance and stabilize the properties of bitumen when mixed in optimum proportions. In this study tensile strength, marshall's stability value and ductility of bitumen by adding different proportions of HDPE (high density polythene) in order to find the optimum proportion of HDPE. Also zycotherm (hydrated aluminium silicate) is added in order to reduce the temperature of the mix which in turn reduces the carbon emission .In this study four specimen's are prepared named 1, 2, 3 and 4 having HDPE percentages of 2, 3, 4 and 5 respectively. All the specimen are tested in Marshall's stability test, penetration test and ductility test. Results show that the specimen 3 with HDPE percentage 4 has highest Marshall Stability value. So, by the use of plastic waste in the bitumen road construction we can resolve the problem of non – biodegradable waste in feasible manner.

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In this work, a system is proposed for safe Coal Mine Monitoring, which plays an important role in coal mine safe production. With continuous enlarging of exploiting areas and extension of depth in coal mine, many laneways become monitoring blind areas, where are lots of hidden dangers. It is very difficult to lay cables which are not reliable and not effective. For to overcome this, a new system is proposed with the help of Zigbee technology. This can improve the level of monitoring production safety and reduce accident in the coal mine. And this system proposes a low complexity parameter to determine the optimal placement of sensor nodes. The system realized real-time surveillance with early-warning intelligence on LPG, FIRE, Humidity, Metal, PANIC in mining area, and used voice alerts to reduce potential safety problems in coal production.

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Fraud detection is a technique of identifying forbidden acts. Because of the problem of frauds, there is a need of various fraud detection techniques to detect the frauds. This will help the auditors and management to detect previously undetected frauds also and develop various controls to prevent such frauds from reoccurring in the future.

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Blood Group Detection is performed manually by laboratory technicians. It can lead to human errors. Image processing techniques can also be used to detect blood groups. The images of the slide test are taken from the clinical/pathological laboratory. Then Image Processing concepts like Image Pre-processing, Thresholding, Morphological operations, Segmentation, Image Recognition are performed to obtain final result i.e. type of blood group which can be A+, B+, AB+, O+, A-, B-, AB-, O-. This process will give accurate results and save time.

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Generally the social media is trending in our daily life form day and to dust, we need the help of technology information communication, most of the work depend on the web application, so here creating web application to design the intelligent process to fetch the authentication social media breaking news in anytime, anywhere, anyone can access internet at low cost, so here gaining valuable breaking news from the society, the information which is gain from the internet its very useful for the current society. This project provides an effective approach for the freelance journalist to report news into the online application and later it will be verified by the authorized professional people to approve and then it will be posted on to the serve.

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In this paper a system for monitoring and forecasting urban air pollution is presented. The system uses low-cost air-quality monitoring motes. The model are prepared form receiving and storing the data, preprocessing and converting the data into useful information, forecasting the pollutants based on historical information. The focus of this paper is on the monitoring system and its forecasting model. Machine learning algorithm are used to build accurate forecasting models for concentrations of sulfur dioxide (SO2), nitrogen dioxide (NO2), Respirable Suspended Particulate Matter (RSPM), Air quality index (AQI). This paper focus on the prediction possibilities in urban air pollution monitoring system by using neural network using MATLAB program. A system for monitoring and forecasting urban air pollution was presented. The data was collected from government owned installations i.e. Maharashtra Pollution Control Board. This data was then subjected to intelligent processing and the ML algorithm was designed to present a model which is able to forecast. It is intended to develop a system which is able to forecast concentration values of sensors some hours ahead. The outcome of this paper can be useful for alarming applications in areas with high air pollution levels.

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In power system congestion is one of the critical issue. As the cascading outage initialize that can cause the system may collapse due to congestion. In this paper, Firefly Algorithm is used for congestion management. The natural behavior of fireflies is used in firefly algorithm. In this, firefly works individually and tries to find the best position for itself in consideration with its current position as well as the position of the fireflies.it moves from the local minima to the global minima in minimums number of iteration. This proposed technology helps n removing the congestion as well as minimize the rescheduling cost. This firfly algorithm applied on IEEE-30 bus system.

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The aim of this study is to investigate the customer perception towards the internet banking services and to identify the main factors affecting the usage of internet banking in Patiala city. For that purpose, Questionnaire has been prepared and survey had been conducted. The study is based upon primary data. The finding of the study indicated that factors of cost, ease of use, availability and accessibility were statistically significant and have positive effects on customer's satisfaction. Respondents finds it risky to share their personal data at websites as they think there is chance of data getting hacked with the increasing cybercrime in the country. The study also shows the major impact of digitalisation in India as the number of users of internet banking has increased more comparatively in the last one year. The study concluded that the most of the bank customers are aware about all the banking services and are satisfied with their banks in Patiala city. The banks further have to take necessary steps to educate the customers regarding the new technology and other services offered by the banks.

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Its long journey from primitive stage, vortex tube has attracted many researchers and industrial people for its distinguished features as spot and simultaneous cooling and heating device. The attractive features of vortex tube like Simple and compact design, easy to install and handle ,robust, maintenance free operation, instant cooling and heating, environmental friendly, low initial and running cost of this spot cooling device motivated to find its performance parameters in selecting Vortex Tube for various applications. It is suggested that modern simulation tools like CFD and precise measurement technology during actual experimentation may become counterpart and complementary to each other to reach to an ultimate conclusion.

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Weight reduction is now the main issue in automobile industries. Weight reduction can be achieved primarily by the introduction of better material, design optimization and better manufacturing processes. The introduction of FRP material has made it possible to reduce the weight of spring without any reduction on load carrying capacity. The automobile industry has shown increased interest in the replacement of steel spring with fiberglass composite leaf spring due to high strength to weight ratio. Therefore, the aim of this project is to present a low cost fabrication of complete mono composite leaf spring. The achievement of weight reduction with adequate improvement of mechanical properties has made composite a very good replacement material for conventional steel. Selection of material is based on cost and strength of material. The composite materials have more elastic strain energy storage capacity and high strength to weight ratio as compared with those of steel, so multi-leaf steel springs are being replaced by mono-leaf composite springs. This project gives the brief look on the suitability of composite leaf spring on vehicles and their advantages. The objective of this work is to present a general study on the Design and Analysis of composite (Glass Fiber Reinforced Composite-GFRC) leaf spring. Static analysis is performed out in FEA based software Ansys14.5 with design constrains as Stress, Deflection with varying thickness.

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Solar is the major source to generate the electricity. To meet the energy has been utilised more than non-renewable energy. The renewable energy such as solar, wind, hydro and geothermal. The renewable energy are more abundant and it is environment friendly. The demand of electric power is huge and it is expected to increase in future. [1]The grid connected power system consists of PV panel, power conditioning unit and inverter solar panel grid connected system feeds solar panel energy directly to the loads without battery storage. [2]Power quality issues that occur between grids end to distribution side in. In this paper, solar energy, various power quality issues and the methods to overcome them have been discussed and using Matlab Simulink the power quality issues are improved.

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Due to increase in population and the attraction of human activities into urban region which in turn leads to the growth of vehicle ownership and use, there is demand for road space which has led to increase in the number of public transport operation. Consequently, the demand for road space is greater than the supply because the rate of provision of transport facilities is less than the rate of growth of vehicle ownership and use which result into traffic congestion. Traffic congestion is the impedance of vehicles imposed on each other due to speed-flow relationship in conditions where the use of transport system approaches capacity. Traffic congestion in Nigeria, taking Basorun-Akobo Road in Ibadan Oyo State as a case study has been analysed using experimental and theoretical approaches. These involve traffic counting and delay survey. In order to carry out effective research work on the case study road, the method adopted were traffic counting and traffic delay survey. The effect of traffic congestion on the study area are Waste of time, Delay movement, Accident, Inability to forecast travel time, Fuel consumption, Road rage and environmental pollution. Possible solutions to traffic congestion on the case study area is to: Dualize the Road, Provide Adequate Parking Space, Construct proper Drainage and Install Traffic Control Devices.

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The Survey paper is entitled as "Brain Tumor Detection". Data mining is a powerful method for mining useful patterns or data from image and textual data sets. Medical data mining is very important field as it has significant utility in healthcare domain in the real world. Clustering and classification are popular of the data mining methods used to understand the different features of the health data set. This paper is focused on understanding detection of brain Tumor using MRI images. Magnetic Resonance images (MRI) are analysed outwardly for recognition of brain tumor delivering less precision while identifying the stage and size of Tumor. The accuracy of the MRI of brain Tumor is improved in Classification and Clustering K-means algorithm, Fuzzy C-means Algorithm.

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Need for analyzing certain important structures to resist blast load is gaining importance day by day due to increase in terrorist activities from the recent years. The level of damage produced in a structure depends on charge weight, a distance of building from point of explosion. The present study is concerned with the review of study on transient loading and its effects on RCC framed structures. The parameters like nodal velocities, nodal accelerations were studied.

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Remote health care monitoring system (RHCMS) has drawn considerable attentions for the last decade. As the aging population is increasing and at the same time the health care cost is skyrocketing there has been a need to monitor a patient from a remote location. Moreover, many people of the World are out of the reach of existing healthcare systems. To solve these problems many research and commercial versions of RHCMS have been proposed and implemented till now. In these systems the performance was the main issue in order to accurately measure, record, and analyze patient's data and keeping records of it. With the ascent of wireless network RHCMS can be widely deployed to monitor the health condition of a patient inside and outside of the hospitals. In this work we present IoT based wireless healthcare monitoring system that can provide real time online information about the health condition of a patient. The proposed system is able to send alarming messages to the healthcare professional about the patient's critical condition. In addition the proposed system can send reports to a patient monitoring system, which can be used by the healthcare professionals to make necessary medical advices from anywhere of the World at any time.

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The basic household needs in any state plays an important role in the human development. In this paper the attempt has been made to study the changing scenario of the use of the basic household amenities in Haryana state. The study used secondary data from different published sources. The time period of study is 2001 to 2011. The study reveals that there is a drastic change in the use of basic household amenities. In 2001 only 48.15 percent people prefer to tap as a primary source of drinking water but in 2011 it increased as 68.79 percent people. Analysed data shows drastic change in the number of bathrooms developed in Haryana, i.e. 30.9 percent increased since last decade. In 2001 toilet facility in Haryana was in worse condition but in 2011 there are some improvements due to awareness among people. So, the data shows that there are so many improvements in basic household amenities in a decade in state.

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The term Eye gaze communication refers to working computer framework by tracking the eye gaze of the human. Eye tracking is the way toward tracking the snapshot of eye and determining where the user is looking on the screen. Eye gaze innovation is hand free or voice free innovation i.e. without utilizing hand or voice we can work the computer. People with cerebral palsy, spinal cord injury, brain injury, brainstem stroke, muscular dystrophy and so forth can utilize this framework. This framework is additionally called as vision-controlled communication framework. In this kind of communication framework control keys are shown on the screen. By taking a gander at the control keys user can work computer, type, get to web, send email and so forth. The framework is valuable to improve the life of incapacitated individual. Right off the bat we are showing what in reality the eye gaze communication framework is and the key components. We are assessing the conduct of user when they are utilizing the eye gaze interfacing. Utilized distinctive strategies for eye tracking, for example, electro-oculography, scleral seek loop, infrared oculography, video oculography, and diverse methodologies i.e. highlight based approach and appearance based approach and so forth. We have tried to analyse surveys based on few parameters.

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The global digital revolution has made this earth more comfortable and smart. This has inspired many engineers to design smart applications in every sphere of modern life. The dark side of the coin is the security of the data. This has motivated technical research in the direction of efficient and hi fi tempered proof data hiding. The most popular technique is reversible data hiding (RDH). The other common name for this method is lossless data hiding. The world technical community is busy publishing the research papers on RDH. There is an ample of scope for developing software tools, which can support image steganography, combined with text encryption. The data is hidden behind some digital cover media. This media can be an image, video, audio or text. The hidden data is transmitted over some channel and it may contain some secret key. This key ensures the authenticated delivery of the payload. The receiver gets the original data after the separation of the same from the actual media. The RDH method helps to recover the original hidden message from the digital data. This method is lossless and this quality is suitable for real life applications like medical science, defence, big data storage etc. The cloud storage can be useful for secured data storage like drop box and google drive. The RDH is used in encrypted images in these applications. The variations in the method can be with and without pre-processing the encrypted images (RDHEI). In this paper, the most common methods of hiding the encrypted images have been reviewed. There are few methods, which allow large data embedding and very efficient while other are not so efficient. The few algorithms discussed are able to provide the lossless data hiding while few have partial distortions. The methods covered are having their own merits and demerits. The better combination is reversible data hiding and lossless recovery of the original carrier and data in encrypted image. The embedding pixels are randomly chosen. The secret key makes it more secure. The random selection of the embedding pixels makes it very difficult to intrude into the communication channel. The secret key at the receiving end opens the lock and the hidden data can easily be recovered without distorting the carrier data. On the basis of the analysis of the entire research papers the unique reversible data hiding method using histogram shifting –imitated approach. The image is broken into finite number of segments and one segment is chosen to hide the data. Each segment is represented in the form of histogram. The peak points are chosen on the basis of intensity of the pixel value. The secret data is hidden into the cover image by modifying the peak point pixel value in the same segment. This embedding method yields high embedding capacity and robust data security.

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Sensor networks refer to a heterogeneous system combining tiny sensors and actuators with general purpose computing elements. These networks will consist of hundreds or thousands of self-organizing, low power, low-cost wireless nodes deployed to monitor and affect the environment. Security is becoming a major concern for WSN protocol designers because of the wide security-critical applications of WSNs. In this article we discuss some basic information about the WSN and highlights ongoing research activities and issues that affect the design and performance of Wireless Sensor Network. This paper presents some challenges related to Security of Wireless Sensor Networks and Implementation of Distance Vector Routing Algorithm.

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Motor drives are essential in many industrial applications such automotive, robotics, power and energy industry. The motor drives need the information of rotor speed to achieve speed control. Rotor speed can be measured by sensors attached to rotor shaft which sends the motor speed to the motor drive. However, using sensors in the rotating shaft is not always practical.. The entire PMSM control system is divided into several independent functional modules such as PMSM body module, inverter module and coordinate transformation module and Sinusoidal pulse width modulation (SPWM) production module and so on. we can analyzed a variety of simulation waveforms and it provide an effective means for the analysis and design of the PMSM control system PMSM (Permanent Magnetic Synchronous Motor) has been increasingly used in many high performance application due to its advantages of high power density, high power factor and efficiency. Firstly, a SVPWM scheme, vector control method and fuzzy controller are derived and applied in the speed control IC of PMSM drive.

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A transmission housing has certain functional requirements based on which it was designed through the years. During the design of a gearbox there has been hardly any rigorous design procedure adopted for transmission housing. There is need for a definite design procedure in consideration of a large number of failures in such designs. We are going to prepare the Design Analysis of a transmission housing using Finite Element Analysis (FEA) Method. Like gear and shafts transmission housing is also important transmission component. Thus the strength of transmission housing is to be important parameter to be taken into account while designing. After getting 3D model pre-processing is prepared by using Ansys. The proper inspection of the material and understand the critical region in the casting. The FEA analysis helps to understand the critical region and non-critical region. The analysis helps to proper optimization of geometry and helps to reduce the size or increase the size and increase the total life of the component. Optimized design for the transmission housing found out by this process in which it has the best performance without any failure and with minimum loads acting on the housing. FEA also be carried out on design of the gearbox housing to check whether the design is safe or not.

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To survive in today's competitive business world, companies require small lead times, low costs and high customer service levels. Lean manufacturing program is being followed by various industries in the recent year which mainly focuses on improving the efficiency of operations by reducing wastes. Value stream mapping (VSM) technique has been used on a broad scale in big companies such as Toyota and Boeing. This work considers the study of value stream mapping technique in MAN Trucks Private Limited, Pithampur. The targeted product is cylinder block. It focuses on product family, current state map preparation, proposed improvements and future state map. The achievements of value stream implementation are reduction in lead time, cycle time, inventory level and improvement in productivity.

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With the advancement of information technologies particularly cloud storage is used for outsourcing data. Now a day's users store a large amount of information on the cloud but it's untrusted and we store secure data on the cloud. To conquer this downside we suggest the idea of searchable encryption that gives promising way in resolving the privacy problem at the time of storing data to the cloud. This method consent to store the information in encryption format on an untrusted server, and then hand over the server to search on their behalf by the private key and encrypted search indices. When a file is to be shared with a group of people, lot of keys need to be generated and shared with users. A main confront to scheming such encryption method lies in the well-organized encryption key management. Our System is an advancement of key aggregate searchable encryption (KASE), where a data holder only wants to share out a single key to multiple users for allocation of the huge documents, and the user only has to offer a single trapdoor to the cloud for getting the shared documents. The safety analysis and performance estimation confirm that the given method is probably safe and practically capable.

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Movement of goods and people is very important for socioeconomic growth of any country. Transportation plays vital role in economic growth of society. Transportation cost and time determines market reach of any product. By modelling and optimising freight demand and supply chain, one can manage economic growth. For best results, it is very important to identify, collect and provide suitable quality data for as input in developed freight models.

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