With increase in the number of accidents, the automotive industry always strive for measures to improve safety of passenger vehicles at high speeds. Proper orientation of spoiler gives maximum down-force with least drag-force .The aerodynamic performance of Formula-One car is determined by measuring the drag-force and down-force acting on the car. Various geometric models of the car are created in the CAD package CREO 2. The CFD analysis is done by using ANSYS CFX. It shows the flow pattern over the car. The behavior of the flow is greatly influenced by the spoilers which were simulated with the rear end of car and therefore the design has to take into account the environment of the spoilers. The spoilers demonstrate their utilities as deflectors that are able to deflect the flow downward.

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Natural Language Processing is the study of human language and part of AI. It has been developed more and more in recent years with the integration of ML. Use of technology has been increased more and more in current industrial revolution and also it has been forecasted that the 4th industrial revolution will be driven by latest technology(in World Economic Forum). Technologies has taken the major role in industrial development. The main source of income & development for industries are people, and it has become very important for industry to understand the choice of the human and their requirements. Today’s world majority of population is digitally connected. Industries have wider scope to understand the people with digital information; but the digital information created by people is very complex and hard to understand by the computers. To solve this complexity it is a necessity for technology and industry to understand the natural language and process accordingly. To understand the natural language complexity many algorithms have been developed also with the help of Machine learning the NLP process has become more clear and understandable. In our research paper we have tried to understand the NLP process and the application used in industries based on NLP. We have created 2 test applications based on NLP for demonstration. 1st Chatbot based on API.AI and 2nd Tweet Sentiment Analysis based on Naive Bayes Classifier. Tools & Languages used for test & development – Android Studio, Java, API.AI, Twitter API, Python3.5, Tweepy, textblob, & pygal modules.

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Cloud computing is used to access the application or services and infrastructure at anywhere any time. Load balance means that to share the work across the multiple computing resources to fulfil higher for the user and utilize the resource with efficiency for reach the good performance of the application. The various load balancing algorithms like min-max, round robin, honey bee behaviour, Ant colony etc are compared with parameters like response time, waiting time, process utilization, reliability, resource utilization, throughput. These algorithms are suffering from lack of energy efficiency, less resource utilization, starvation, more power consumption. We raised this issue in our proposed work. In this paper we replace these algorithms by node balancing algorithm using threshold dynamically and uses distributed dynamic approach.

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Drought forecasting plays a crucial role in drought risk management. The current development of artificial neural networks (ANN) has a remarkable impact on forecasting of drought indices. This paper explains an approach to simulate quantitative values of drought indices using Artificial Neural Network. Drought Indices are continuous function of rainfall, temperature and other hydro-meteorological measurable variables. In this research two meteorological drought indices Effective Drought Index (EDI) and the Standardized Precipitation Index (SPI) are calculated & compared for monitoring drought in Upper Seonath Basin, both indices are the continuous function of rainfall which measures the degree of dryness of any period. A number of different ANN models for both EDI & SPI with the lead time of 12 months and different combinations of past rainfall have been tested at several rainfall stations in the Upper Seonath Basin. The validation of simulate quantitative value done by the using R2 & RMSE. The best models have R2 values of 0.87-0.99 for a lead time of 12 months. The structure of the model inputs (previous year rainfall drought index) does not vary with lead time.

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Cloud computing is a vital component of modern computing systems. Cloud computing supply on-demand service. In Cloud computing environment many cloud users can request more than one cloud services in parallel. So there must be an allocation, that all resources which are made available to requesting user in well-planned manner to serve their requirement. In this Review paper, various strategies for dynamic resource allocation in cloud computing are shown based on Linear Scheduling Strategy for Resource Allocation, Topology Aware Resource Allocation (TARA) and Dynamic Resource Allocation for Parallel Data Processing. These algorithms are compared on the basis of these parameters:-Resource Contention, Scarcity of resources, Resource fragmentation, Over provisioning, Under Provisioning. The major limitation of these algorithms is that their resource allocation procedure is not a Dynamic, therefore we are using multiple request resource algorithm to remove this limitation and also to improve the whole performance.

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In this paper, 3-D star tree model of solar panel is introduced. Here, the step up motor is controlled by raspberry pi microcontroller to automate or synchronize the whole system with the position of the sun to gain maximum energy. It is well known that Sun is the greatest energy source for earth but we are unable to utilize it effectively and efficiently. In this paper we employ photovoltaic (PV) cell for converting solar energy into electric energy. Nowadays, PV cells made of semiconductor materials like crystalline silicon, thin film and multi-junction solar cell, are used which are cost effective and highly efficient. In India, there are number of sunny hours per year. We receive solar radiation in a range of 4 to 7 kWh/m2/day, but people do not have much space to install the solar energy plant and hence they are not able to utilize the solar energy effectively which is the main reason that electricity is the major problem. In this paper the Design of our solar tree model is bio-inspired so that solar panel can absorb more sunlight similar to the leaves of a natural tree. The spiral arrangement of leaves on the stem or the branch is called Phyllotaxy. The leaves spiral around the stem or the branch in a regular pattern hence the design is called solar tree.

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As there is a maximum number possibilities of earthquake to hit a vicinity there are much more chances of a tall building being hit with huge and enormous structural loss of property and life. Shear-walls helps to overcome such catastrophe. A symmetrical building is taken into consideration of G+13 and is analyzed for three different cases, without shear-wall, with shear-wall at core and with shear-wall at periphery. This thirteen storeys is analyzed for base shear values, sling effect, strength and stability by the use of software Staad.Pro. The analysis of the building using equivalent static method and dynamic method. All the foot-prints of this paper are rendered in a two-dimensional composition.

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Autism is a mental condition present form early childhood and is characterized as a great difficulty in communicating and making relationships with other people and using language and abstract concepts. Treatments for this condition could be teaching social skills. For teaching these social skills robotics may play a vital role. Here in this paper the research aims to show how with the help of Robotics we could not only help Autistic children to improve their social abilities but could also gain information about their personal interest or what kind of hobby they might chose or may be interested in. These robots could help them engage into their hobbies and help grow furthermore into the same. Earlier studies usually depicted use of humanoid robots in improving social skills of Autistic children but here with Supervised Machine learning through imitating behaviour of normal child into a robot we can let autistic children interact with them. The idea is using a Robot which acts just same as a normal child to interact with these autistic children to help them grow and develop in particular field of their interest.

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In this paper, we propose a multifactor data control structure to be particular MFGCT transparently conveyed capacity, where all present Attribute authorities solidify for the organization of every last property set and scatter the "pro key". With the help of the (t,n) secret sharing method, with the together exercises of any t (threshold) quality specialists, a legitimate client can obtain his puzzle key. Along these lines our MFGCT keeps up a vital separation from the auto crash for the single showed Authority system in like manner extends the security from the interlopers.

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The Internet is the global system of interconnected computer network that links billions of devices worldwide. It is a network of networks that consist of millions of private, public academic business and government network of local and global scope, linked by a broad array of electronics wireless and optical networking technologies. ZeroNet is a new emerging overlay network that could provide alternative to the existing centralized system. ZeroNet provides open free and uncensored service using bitcoin cryptography and BitTorrent network. In ZeroNet content is distributed directly to other visitor without any central server. It is decentralized web platform using Bitcoin cryptography and BitTorrent network. Currently while using ZeroNet protocol through existing browser user has to go through long and tedious process which could discourage a user to opt for ZeroNet in day to day use. We have developed a self-configuring browser especially for ZeroNet protocol which will encourage users to opt for ZeroNet.

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Credit Syndication occurs when the borrower requires large amount of fund. It will be accomplished with the help of group of lenders. This type of lending is possible only for larger projects such as for the corporate businesses. These types of loans are provided by financial companies and banks mostly. In this paper, we study the lending of syndicate loan by private banks in India. This paper also analyses the syndication terms of private banks in India. For the syndicate loan lenders, there will be various syndication terms adopted particularly for private banks.

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Conventionally wireless controlled robots use RF circuits which have the drawback of limited working range, use of GSM can overcome this limitation. This paper designed for defense security system with RF Module, camera and GSM for wireless transmission. The movement of the robot will be controlled by wirelessly transmitting commands. The robot can transmit real-time video in with a camera in a wireless fashion with night vision capabilities.

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Right now the relational keyword based searches techniques consider the huge number of data's to give effective result while the user searching. There is an issue of restricted memory subsequently there is a need of the execution of the novel techniques/algorithm. To enhance the search technique process by upgrading the query from that has to contain the memory improvement with the assistance of the hereditary algorithm. In this paper, we review the various keyword search algorithms and the working of the algorithm.

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An Earth Tube Heat Exchanger uses the massive thermal energy of the ground for the air heating in winter due to the temperature difference between the air and underground surface. With the help of ETHE we can reduce the energy consumption required for space. However, for determining the surface heat convection, due to lack of available methods it is difficult to make accurate energy simulation and design. Research of ETHE was carried out at beginning as a field investigation. But now CFD simulation is used for accurate heat transfer. In use of complex dimensioning process required such a system, which involves optimization of numerous parameters such as the diameter, air flow rate depth, tube length and condensation in the meantime have to be considered. For the CFD simulation analysis the pipe of 30m length, 0.003m thickness and 0.15 m diameter, The temperature value considered for inlet is days in month of January from 5 Jan 2017 to 11Jan 2017 at hourly according the climate of Bhopal, M.P. has been taken to observed for the outlet blow with different velocities. Using the CFD analysis it is observed at low air velocity that rate of heat transfer and performance increases in winter.

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The energy consumption of the world has been increasing with industrial growth. The fossil fuel is going to be exhausted in future because of limited reserve and it is estimated that by 2050 the 80% of reserve will be exhausted. Also various problem of emission of pollutant gases in environment is another issue .The other conventional resource like nuclear fuel is costly and big problem in the safe utilization. In view of the fast depletion of fossil fuel, the search for alternative fuels has become inevitable, looking at huge demand of diesel for transportation sector, agriculture sector, commercial sector, industrial sector and power generation sector, the biodiesel is being viewed a substitute of diesel. Therefore, in this research paper the eucalyptus oil which is high octane biomass derived fuel is mixed with diesel in different proportions by volume and used as fuel in four stroke single cylinder diesel engine. The performance and emission characteristics of the engine were studied. The results show the reduction in consumption of fuel as the brake specific fuel consumption was found to decrease. While the emission parameters were also improved, emissions were significantly reduces as the load was increasing. The brake specific fuel consumptions of the engine were studied. It has been investigated that BSFC for Eu100A and Eu100B just in case of Eucalyptus biodiesel was 8.18% and 4.05% below the given fuel for maximum load, which shows that lesser quantity of B100 produce power the same as diesel. Also the factor affecting engine performance using biodiesel like engine wear, engine power, deposits and clogging were studied.

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Environmental degradation is the major dilemma of present time. The depletion of environment is mainly due to pollutants emitting from exhaust of motor vehicle. Such pollutants are CO, NOx, CO2, HC, soot emission etc. Present research work is to controlling the amount of these pollutants from emission of single cylinder four stroke water cooled diesel engine and to find performance of diesel engine by combine effect of oxygen enrichment and water emulsification of fuel. The fuel used for research is diesel and diesel – palm biodiesel blend (PB10). Emulsification of diesel – palm biodiesel blend (PB10) are made with water concentration 5% and 10 % respectively and oxygen enrichment with 9 – 10% are used for present research work. The experimental results show that there are reduction in emission due to combine effect of oxygen enrichment and water emulsification. OED and diesel has a lower SFC than and all other blends. OEWIP 10% has lower emission of NOx while, OED and OEPB10 has higher value of NOx. OEWIP 5% and OED has lower emission of HC while, WIP 10% has a higher emission of HC.OEWIP 5% and OEPB10 has a lower CO2 than all other blends. Emission of CO is lower for WIP 5% and OEWIP 5% than other blends.

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SQL injection attacks pose a genuine security risk to Web applications: they enable attackers to acquire unlimited access to the databases hidden the applications and to the possibly sensitive information these databases contain. Despite the fact that analysts and practitioners have proposed different techniques to address the SQL injection problem, current approaches either neglect to address the full extent of the problem or have confinements that prevent their utilization and appropriation. Numerous specialists and practitioners know about just a subset of the extensive variety of strategies accessible to attackers who are attempting to exploit SQL injection vulnerabilities.

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Excessive use of synthetic dyes by textile industries and its discharge to the nearby water bodies is a major concern for all environmentalists due to their low biodegradable nature and health problem like skin allergy, dermatitis, skin irritation and also has toxic, carcinogenic and mutagenic nature, it also lead to low water visibility. To solve this problem one species of algae was isolated from pond water. Oscillatoria inoculated in batch culture in shaking as well as stationery condition for fifteen days. The studies reveal the potential effect in dye degradation by degrading the color of textile dyes up to 95%.

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Now a day’s, wi-fi networks are widely used in university data programs, along with banking and military applications such as battlefield surveillance such networks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, and so on. Wireless networks are greater liable to eavesdropping, change, impersonation and replaying attacks than the wired networks. A lot of work has been done to secure wireless networks. The existing solutions can protect the user data during transmission, but cannot stop the inside attack where the administrator of the user database reveals the sensitive user data. Our proposed system is practical approach to prevent the inside attack by using multiple data servers to store user data. Moreover securely distributing the user data in multiple data servers and employing the Advanced Encryption Standard to perform statistical analysis on the user data without compromising the user privacy, is the another major factor of concern.

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Bartering means giving an item or a service with the opposite person and getting another item or a service in return with no monetary transactions involved in the process. The drawback was that the exchange was restricted to a particular area where known people exchange in a way which benefits both the parties. Bartering in combination with technology can make the exchange of goods possible all over the world. Similarly, book exchange is the practice of exchanging books between two parties. In general, the exchange would be among known group of people, user can find out about new books and obtain a new book to read without involving monetary transactions. Since the swaps occur between two individuals, other’s who are equally in need of those books especially students may not be able to get a book when needed. Smart Barter System is the solution to this problem. N number of users can download the same book, audio or video at the same time. The user must upload a book, video lecture or an audio lecture to the central repository and only then he can download any one of the above respectively as required by the individual within a very less time , may be few minutes

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In this paper, we discuss about the tradeoff between using non-linear regression algorithms and linear regression algorithm for non-linear problems. This tradeoff arises because non-linear regression algorithms are difficult to explain and implement in the production environment but provide better accuracy. On the other hand, linear regression algorithm is easy to explain to the business and implement in the production environment but has relatively less accuracy in case of non-linear regression problems. The paper starts with defining non-linear regression problem and proceeds with explaining how to solve non-linear regression problem using linear regression by transforming the feature space. The paper concludes with illustrating some of the methods which can help achieve better accuracy from applying linear regression algorithm to the non-linear regression problem.

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In this paper, by utilizing AES Algorithm for decentralized DTNs we portray how to secure data and recuperation arrange for where different key forces manage their properties self-sufficiently and avoid the key escrow, revocation, Coordination of characteristics issued from different forces. Adaptability is given by AES to encryption and decoding. For unravelling to happen the unscramble or needs a couple of attributes that matches or relates with the one portrayed by security game plan of the passageway control. We delineated that how securely and authority manage the private data by applying proposed part which is passed on in the aggravation tolerant military framework. The point of confinement of military security has stretched out from standard sorts of rivalry between nation states to fourth-time battling between a state and non-state on-screen characters. In Military Environment, they are endure spasmodic framework accessibility. So we are using the DTN (Disruption Tolerant Network) that allows the remote framework for military application to pass on each other moreover warriors can get to ordered data by utilizing stockpiling centre in cutting edge or counter zone to torment shape the widely appealing framework accessibility and achieve secure data or some summon by tried and true to research from external centre. The most troublesome thing in this cases are approval of affirmed game plans. Figure content approach property based encryption is a tried and true cryptographic response for get to control issues.

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The objective of this study is to perform the behavioral analysis of conventional slab and bubble deck slab using ANSYS workbench 14.0. This comparative study includes the study of normal slab and slab with HDPE spherical ball at center to form voids. Normally the Bubble Deck framework consolidates the advantages of production line made components in controlled conditions alongside on location site with reduced quantity of concrete. High Density polyethylene (HDPE) empty sphere replaces the ineffective concrete at neutral axis of the slab section, in this way diminishing the dead weight. Simply supported End conditions are assumed for both slabs under Static (UDL) loads. The analysis result showed the total deflection, Von-mises Stress of both slab under uniformly distributed load for different end conditions. This paper moreover displays a review on the properties and preferences of Bubble Deck section over conventional slab.

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Vadodara is one of the highest industrialized districts in Gujarat state of India. Varieties of industries like, Reliance Petrochemicals & Oil Refinery, GSFC, Nandesari GIDC and other industrial estates etc are located in and around Vadodara City. Rapid industrialization and urbanization have adversely affected water and air of these areas over last few decades. Mahi and Narmada are the main perennial rivers flowing through the study area while Vishwamitry, Dhadhar and Mini are other important rivers. The present research has been done for the analysis of physical and chemical parameters of ground water for industrial area in western region of Vadodara District. The analysis is carried out for major physical and chemical parameters of pollutants in terms of pH, TDS, Ca+, Mg+, Cl-, NO2-N, NO3-N and NH3-N by using data of open wells, tube wells and piezometers of agencies like Gujarat Water Resources Development Corporation (GWRDC) and Gujarat Pollution Control Board (GPCB). Study of exploratory boreholes reveals the nature of formation of water quality at various depths. The groundwater quality, in general is satisfying potable standards in the study area but it is deteriorated in certain area of western part of alluvial region and in few locations metals like Manganese and Iron are required to be observed. In areas of inherent salinity and also along western part of the district, underlain by alluvium aquifer system hydrologically connected to the Mahi estuary has high TDS in groundwater.

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The dissertation work is concerned with the comparison of the seismic evaluation of GFRP and Steel reinforced multistory Building with and without 'Shear wall, the method carried out in terms of equivalent static, response spectrum and pushover analysis according to IS 1893:2002(part1) code, G+03, G+10 and G+30 storey buildings are considered for the analysis. The comparison of equivalent static, response spectrum method and pushover analysis by using ETABS software is used to perform the modeling and analysis of G+ 03, G+10 and G+30 storey's buildings by considering the seismic zone IV as per IS 1893:2002(part I) code. For analysis various IS codes have been referred. for 0. 9, 1.2 and 1.5 seismic load combinations as per IS 1893 :2002 (part 1) code is referred. In this study building model analysis carried out namely equivalent static and response spectrum, pushover analysis i11 longitudinal direction & transverse direction discussed and comparisons of coda! values of the software analysis values. Results of these analyses arc discussed in terms of the storey displacement, storey drift and base shear. from this result it is concluded that storey displacement, storey drift and base shear will be more in regular buildings compare with Building with sheer wall.

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