One of the major sources of power is the engines. These are presently used for transport and for other applications. The fuels to these engines are nothing but the products obtained from fractional distillation of petroleum. Incomplete combustion produces carbon monoxide which depletes the ozone layer. These are the problems our environment faces today. Since there are more kinds of fuel cells, this paper has been narrowed down to PEM fuel cell which uses only hydrogen as a fuel to produce power. Hydrogen is available in plenty. The bye product is nothing other than water. So there is no hazard to environment. Same water can be used to produce hydrogen by passing current into water. It does not create any noise pollution as like a generator. These are some points to be highlighted in PEM fuel cells.

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In recent era the demands of Fiber Reinforced Composite materials are increasing because overall properties of the composites are superior to those of individual materials. Composites materials are used in almost all aspects of the industrial and commercial fields. Glass Fiber Reinforced Composites are considered to have potential use as a reinforcing material in polymer based composites. Glass Fiber Reinforced Composites have been prepared by various manufacturing technology and are widely used for various applications. Glass fibers are having excellent properties like high strength, flexibility, stiffness and resistance to chemical harm. Glass Fiber Reinforced Composite structures are manufactured by using E-class glass fibre and polyester resin using two different methods - hand lay-up and spray-up manufacturing techniques in the application area of car bumper for passenger cars. The specimens prepared from composite laminates are tested for mechanical properties such as tensile strength, flexural strength and impact strength as per the ASTM standard D638, D790 and D256 respectively. Results show improved strengths for spray-up method.

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The design methodology in light of Limit State Method includes various mathematical statements and parameters, which makes the outline handle a confusing and repetitive undertaking. Additionally, outline being a trialing procedure is extremely repetitive and time- consuming in nature. Henceforth utilization of spreadsheets can decrease the time and effort of a planner/build widely. On account of the minimization and compliance, spreadsheets have turned into one of the best choices for a designer, notwithstanding the accessibility of number of standard configuration programming packages. The primary point of this undertaking is to set up a Microsoft Excel Spreadsheet using VBA Programming which will allow user to 1) Analyse a beam for Shear Force, Bending Moment, Slope & Deflection for various End Conditions and for different load patterns. 2) To analyse a beam for its Safe Load Carrying Capacity 3) To Design RCC Beams The result of this venture will be an outline apparatus, which can be advantageously utilized by a specialist to analyse and design a RCC beam.

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With the personality of low preservation, cloud computing provides a cost-effective and effective solution for sharing workforce useful resource amongst cloud users. Unfortunately, sharing data in a multi-owner method at the same time retaining information and identity privateness from a un relied on cloud is still a difficult problem, due to the well-known trade of the membership. In this paper, we endorse a cozy multi owner knowledge sharing scheme, named Mona, for dynamic organizations within the cloud. By using leveraging staff signature and dynamic broadcast encryption approaches, any cloud person can anonymously share data with others. In the meantime, the storage overhead and encryption computation fee of our scheme are impartial with the quantity of revoked customers. Additionally, we analyze the security of our scheme with rigorous proofs, and show the effectivity of our scheme in experiments.

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The Ontology is the main issue of semantic web architecture as the model of knowledge and recognition of knowledge. In this approach, ontology modeling for the semantic web based on cloud environment has been proposed. First step involves, the process of creating cloud model on ontology is presented. Second step involves, semantic web is used to express ontology from concept cloud climbing-up. Third step, analysis are done based on air conditioner performed in knowledge representation. The result provides the accurate value to create domain ontology in terms of cloud model.

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This Project deals with monitoring the Network Screen Activities. In the proposed system we introduce current session option to monitor the network systems at the same time and in the accesses folder option shows the username and user accessed folders. While client logins to the server, the Client IP Address and System names are added to the server. Server will display all the user names, from server we can monitor the particular Client Screen Activities like that currently opened screens, what are all the files created, modified and deleted. Protocols we are using are SNMP, FTP, SMTP, RDP etc.

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Due to the quality and volume, outsourcing data to a cloud is deemed to be one in all the foremost effective approaches for large knowledge storage and access. With increase in number of users the amount of data being stored on the cloud has substantially increased. The access legitimacy of a user firmly depends on the ciphertext policy accepted by the owner. Ancient approaches either fully ignore the difficulty of access policy update or delegate the update to a 3rd party authority. There are always possibilities of duplicate data on cloud. This paper has discussed various development their advantages and limitations of different encryptions.

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Stone industries of Rajasthan spread across all its districts forms the backbone of its economy. The increasing popularity of the marbles of Rajasthan, growing demand for finished and unfinished products, discovery of new marble deposits have led to a significant growth in marble industry of this State. This leads to simultaneous rise in waste generation causing concern towards the deteriorating environmental quality. A wide spread need is being felt to make This industry environmentally sustainable. It proposes the use of waste marble and granite slurry in clay bricks. In this report, investigation will be carried out to use such clay brick in compression strength, density and water absorption. And the problem of waste stone slurry would be solved drastically by use of marble and granite waste in the clay brick as brick is the most widely used construction material at present.

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Road accidents are a commonplace in today's scenario. Accident prevention has been one of the leading areas of research. Our project is designed to prevent accidents due to loss of control, drunken driving, and rash driving. Using circuitry aided by a microcontroller kit to provide a real time monitoring system. In our work, braking distance and the distance of the obstacle are taken into consideration along with the speed of the vehicle to provide the basis for calculation. The microcontroller kit is powered with a microcontroller 16PI and programmed to calculate the braking distance and take actions accordingly. The Hall sensor helps in finding the speed of movement of the vehicle and the ultrasonic sensor senses the distance of the object in front. These sensors provide real- time inputs to the microcontroller program. Using a Hall sensor the system will sense the speed of the vehicle and with the microcontroller, it will calculate the braking distance: that is the distance required to bring the vehicle to a complete stop for that speed. Braking motors is incorporated to activate the brakes thereby achieving automatic braking procedures. The system helps in conjunction with the driver judgment if the driver doesn’t sense the obstacle and applies the brake at the right time then the microcontroller initiates braking motor to apply the brakes automatically. Our future work deals with incorporating real time brake shoe wear system to provide enhanced feature for the intelligent braking system. Our Intelligent Safety concept car provides a glimpse into the future of automotive safety, and how much more advanced these individual systems can be for avoiding accidents and protecting vehicle occupants when they are integrated into one system. The future of automotive safety is more than just developing new technology; it is shifting the approach to safety. By looking at safety in terms of avoiding accidents in the first place – and then protecting occupants when a crash is unavoidable – we can prevent more accidents, save more lives, and reduce insurance and medical costs to society.

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Gas leaks represent the cause of many accidents both in the industry sector and domestic environments. Due to the deployment of complex supervisory control and data acquisition systems, accident rates have decreased in the industry sector but they are still high in domestic environments. Here, we propose a gas leak detection system based on redundant sensing units and investigate ways of integrating it in the distributor's system. We also look at some off-the-shelf gas leak detection devices for home usage and present results of the study made on them. The performance of each studied device is analyzed in comparison to our solution. Results of this analysis show that the proposed implementation is suitable for a more reliable detection of gas leaks.

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This paper seems to explore the safety and security of our WhatsApp, with over 1.4 Billon people using WhatsApp to stay connected with each other, we try to look at how secure WhatsApp really is along with how you can take some extra steps to ensure the safety of your data. WhatsApp stores conversations of the user in database files as a backup in the internal storage of the mobile device. Security experts at WhatsApp implemented AES, using which the stored backup files prevented or restricted unauthorized access. Using the results discussed in this paper, any person will be able to reconstruct the list of contacts and the chronology of the messages that have been exchanged by users. Furthermore, thanks to the multiple research papers, studies and forum that helped me complete this.

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A large part of central India and south India are covered with black cotton soil such soil need to improved. The conventional methods are time consuming are not economically feasible. Hence there is need to discover the other possible ways to satisfy the performance as well as economical criteria. The stabilization soil with bio-enzymes is a revolutionary technique which is environment friendly, cost effective and convenient to use. There are many bio enzymes available for soil stabilization such as DZ-1X, Renolith, perma-zyme, terra-zyme and fujibeton. Bio-enzyme improves CBR value of soil. Increases strength of soil and decreases free swell index and cracks formation. It is economical and also reduces the pavement thickness. Bio-enzymes are largely use for stabilization of soil of roads. The present study deals with the effect of DZ-1X, a bio-enzyme on shear strength and CBR value of expansive soil. Their efficiency depends upon the amount of dose type of soil available and field conditions. The use of bio-enzyme in soil stabilization is not very popular due to lack of awareness between engineers and non-availability of standardized data.

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Geopolymer binders have been proved to be green building materials that can totally replace OPC by an alkaline reaction between silica and alumina are presented in source material. This paper mainly focused on the Flexural behaviour of geopolymer concrete beams with partial replacement of silica sand as natural sand at different proportions like 100:0, 90:10, 80:20, and 70:30 (natural sand: silica sand). The grade of conventional concrete was made as M40, which is equivalent to grade of geopolymer concrete. The beams were cured for 28 days at ambient room temperature and tested for two point loading. The parameters under flexural behaviour like First crack load, Ultimate load, service load, yield load, Ultimate deflection, bending stresses, Load deflection characteristics, Moment characteristics are presented. The study has given a final conclusion that at 20% replacement level of silica sand as natural sand gives better results at 8M. By increasing the replacement level decreasing the strength, hence the silica sand used as a filler material for well graded geopolymer concrete which is more sustainable.

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Noise pollution is a common problem in urban environments that has been shown to affect people's health and children's cognition caused by vehicular traffic, Festival celebration, loudspeakers etc. In the last decade, several studies have been conducted to assess this noise, by measuring the equivalent noise pressure level to acquire an accurate sound map using wireless networks with acoustic sensors. Environmental noise monitoring systems continuously measure sound levels without assigning these measurements to different noise sources in the acoustic scenes, therefore incapable of identifying the main noise source. The goal is to evaluate the hardware limitations of a low-cost wireless acoustic sensor network. The sensor is based on an inexpensive credit-card sized single-board computer with a microphone and associated electronics and wireless connectivity. The measurement results and source information are send from the sensors scattered around the measurement site to a storage service and a noise portal is used to visualize the data to users. A conveniently study has been done on this concept in which an acoustic pattern classification algorithm is working in a wireless sensor network is used to automatically assign the measured sound level to different noise sources. This noise monitoring system can reduce the amount of required human effort for validation of the sound level data when the target noise source is known.

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The modern warfare lead to optimization and autoschediasm in the field of weaponry by electronization. New age prognosticates this as electronic and biological warfare. Modern weapons in hands of chaotic organizations is one of the major reasons of unethical deaths of military infantry. Terror invasions have gone worse in recent times. The traditional methods have not yield expected results. To control and restrain the situation, use of EMPs (Electromagnetic Pulse) bomb and Bioweapon would be a big breakthrough. These weapons can be mount on high altitude and artificially intelligent drone which will yield beneficial results. These drones can be remotely or automatically controlled. Thus, use of Bioweapon and EMPs in Indian defense system could save a large number of military infantry casualties, with provision of good head start and slowing down the enemy unit by killing their electronic and electrical units. This will lead to escalation in Indian Defense system.

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Due to the increasing demand for fossil fuel and more liberation of pollutants in environment, a number of renewable sources of energy have been studied worldwide. Non-edible oil contains several unsaponifiable and toxic components, which make them unsuitable for human consumption. An attempt is made to assess the suitability of vegetable oil for diesel engine operation, without any modification in its existing construction. Biodiesel is a clean and renewable fuel which is considered to be best substitution for diesel fuel. In order to achieve this, Biodiesel was prepared from the non-edible oil of ball nut by transesterification of the oil with methanol in the presence of NaOH as catalyst. The important fuel properties of biodiesel produced from ballnut oil, like viscocity, flash point, fire point, calorific value and emission should be found out to compare with the properties of Indian standard biodiesel for its use.

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This research with the cooling load calculation for an Auditorium, commercial complex, etc., using central air conditioning system which includes the study of auditorium layout, determination of cooling load, and distribution of cool air. The auditorium requires a conditioned air of certain quality. The cooling load calculation will be done by considering the ambient temperature as 32 °C which is temperature encountered in the winter season in this local area. The compressor capacity will be found after determination of cooling load required.

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Keyword search in a large amount of data is very essential factor in data mining. This project focuses on keyword search, called as spatial approximate string search (SASS).A main limitation of the approximate search is that it only supports exact keyword search in a large amount of data. Keyword search for retrieving estimated string matches is required. Since, exact match is a special case of approximate string match, it is clear that keyword search by approximate string matches has a much larger pool of applications. In this work, we focus on range queries and name such queries as Spatial Approximate String (SAS) queries. (i.e. ESAS, RSAS). We have to efficiently find that string in the collection that is similar to a query string. Such type of query is called an "approximate string search".

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This paper presents qualitative research that investigates the feasibility and prospects of crumb rubber and beach sandal manufacturing. Further it deals on with detailed financial analysis for the setup of the crumb rubber and beach sandal manufacturing by thoroughly addressing the demand of the same. Rubber in its commercial form is obtained from latex by a set of processes. Havea latex in the latex vessel of the tapped trees contains 30-40% rubber in the form of particles. Latex is a hydrosol in which the dispersed particles are protected by a complex film. The grading of synthetic rubber is done by technical specification. Technically specified rubbers are largely block types made by adopting new methods of processing which include size reduction, de-watering, dirt removal, drying, baling and grading. The detailed financial analysis shows that the plan will make a profit of around Rs.148 lacs in a year and the break-even will be achieved in one year.

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Every minute, the world loses an area of forest the size of 48 football fields. And deforestation in the Amazon Basin accounts for the largest share, contributing to reduced biodiversity, habitat loss, climate change, and other devastating effects. But better data about the location of deforestation and human encroachment on forests can help governments and local stakeholders respond more quickly and effectively. Convolution layers are used to extract the features from input training samples. Each convolution layer has a set of filters that helps in feature extraction. In general, as the depth of CNN model increases, complexity of features learnt by convolution layers increases. For example, first convolution layer captures simple features while the last convolution layer captures complex features of training samples. Another name for feed forward networks like these are Shift Invariant or Space Invariant Artificial Neural Networks (SIANN), as their architecture is mainly based on their weight sharing attribute and transient architecture. With upcoming Deep Learning techniques every year, the field of computer vision research has been advancing at a fast pace resulting in building robust models that have been created benchmarks on a world scale.

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Presently peoples are need to hot water for domestic and commercial purpose. Solar energy is the main alternative to replace the conventional energy sources. There are different types of solar water collector system available in the commercial market to fulfil the customer's demand, such as flat plate collector, concentrating collector, evacuated tube collector and integrated collector storage. Which combination of solar collector for heating the water system with heat exchanger to recovery the boiler waste heat. The more waste heat are available in environment such as house hold Refrigerator, IC Engines etc. So the boiler Waste heat recovery system is the best way to recover the waste heat and saving the fuel. The recovery and utilization of waste heat not only conserves fuel but also reduces the amount of waste heat and exhaust gas emission to the environment. So it will be control the global warming and energy crises. This paper concentrated to the no delay of energy saving process and improving performance efficiently. This waste heat converted in to use full energy and also reduce the environmental pollution. The boiler waste heat will transfer to heat exchanger and combined to solar water collector for heat the cold water into hot water. Therefore it is energy saving and economically based system.

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Due to increasing the demand for fossil fuels and more liberation of pollutants in environment, a number of renewable sources of energy have been studied worldwide. Non edible oil contains several unsaponifiable and toxic components, which make them unsuitable for human consumption. An attempt is made to assess the suitability of vegetable oil for diesel engine operation, without any modifications in its existing construction. Biodiesel is a clean and renewable fuel which is considered to be the best substitution for diesel fuels. In order to achieve this, biodiesel was prepared from the non-edible oil of Mahua oil by transesterification of the crude oil with methanol in the presence of NaOH as catalyst, and adding nano particles (TiO2, Al2O3). The important fuel properties of methyl esters of biodiesel produced from Mahua oil, like viscosity, flash point, fire point, calorific value etc., should be found out to compare with the properties of Indian standard biodiesel for its use.

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Successful deployment of Electronic Health Record helps improve patient safety and quality of care, but it has the prerequisite of interoperability between Health Information Exchange at different hospitals. The Clinical Document Architecture (CDA) developed by HL7 is a center report standard to guarantee such interoperability, and engendering of this record design is basic for interoperability. Unfortunately, hospitals are reluctant to adopt interoperable HIS due to its deployment cost except for in a handful countries. An issue emerges notwithstanding when more doctor's facilities begin utilizing the CDA report arrange in light of the fact that the information scattered in various archives are difficult to oversee. In this paper, we describe our CDA document generation and integration Open API service based on cloud computing, through which doctor's facilities are empowered to helpfully create CDA reports without purchasing exclusive programming Our CDA report joining structure arranges diverse CDA records per calm into a lone CDA chronicle and specialists and patients can examine the clinical data in successive demand.. Our system of CDA document generation and integration is based on cloud computing and the service is offered in Open API. Designers utilizing distinctive stages along these lines can utilize our framework to upgrade interoperability.

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In this study, a new model to the problem of video action recognition has been proposed. The model is based on temporal video representation for automatic annotation of videos. Video action recognition is a field of multimedia research enabling us to recognize the actions from a number of observations, where representation of temporal information becomes important. Visual, audio and textual features are important sources for representation. Although textual and audio features provide high level semantics, retrieval performance using these features highly depends on the availability and richness of the resources. Visual features such as edges, corners, interest points etc. are used for forming a more complicated feature, namely, optical flow. For developing methods to cope with video action recognition, we need temporally represented video information. For this reason, we propose a new temporal segment representation to formalize the video scenes as temporal information. The representation is fundamentally based on the optical flow vectors calculated for the frequently selected frames of the video scene. Weighted frame velocity concept is put forward for a whole video scene together with the set of optical flow vectors. The combined representation is used in the action based video segment classification. Proposed method is applied to significant data sets and the results are analyzed by comparing to the state- of-the art methods.

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Fraudulent behaviors in Google Play, the foremost widespread automaton app market, fuel search rank abuse and malware proliferation. To spot malware, previous work has centered on app viable and permission analysis. During this paper, we have a tendency to introduce FairPlay, a unique system that discovers and leverages traces left behind by fraudsters, to discover each malware and apps subjected to search rank fraud. FairPlay correlates review activities and unambiguously combines detected review relations with linguistic and behavioral signals gleaned from Google Play app information so as to identify suspicious apps. FairPlay achieves over 95th accuracy in classifying gold customary datasets of malware, dishonest and. We go for broad read by applying some technique to each application to gauge its ranking. In this paper we discovered ranking fraud for mobile applications, we develop a necessity to create a perfect, fraud less and result that shows corrected application accordingly offer ranking; wherever we tend to truly create it happen by looking out fraud of applications. They create fraud by downloading application through numerous devices and provide fraud ratings and reviews. So, as we tend to aforesaid on top of here we've got to mine crucial information relating specific application like review that we tend to aforesaid comments and conjointly such a lot of alternative data we've got to mine and place rule to find fakeness in application rank.

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