In Today’s world, Technology plays an important role in the field of automobile vehicles in car. Increasing of technology and access to high levels in automotive industry, it is necessary to provide a protection of cars from the theft, accidents, and unauthorized activities. So to avoid the collision avoidance, many researchers are trying to develop automated new technologies which can be applied into the vehicles for the comfort and safety of the humans, but the major concerned is how does the communication between the devices taken place is the major concerned. In this survey papers they have done a genuine attempt to find the solution of the particular issue by proposing a novel system called “Arduino-based Smart Car using Android”. The proposed system aims to design a system where all the interfaces of car are connected in such a way that all the components of the car can be accessed through web interface or mobile interface. They found few methodologies which has been applied within recent years have implemented a obstacle avoidance algorithm which help us to detect the object which is far away from the car.

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As we know the population of metropolitan is growing every day. With increasing country population, amount of vehicles is also rising, and this direct enchases traffic of cities which should be manages as early as possible without any loss people. Traffic causes accidents which directly affect an individual life. In the last 10 years the situation has get worse due to quick growth of automobiles and inadequate highways to accommodate them. This work describes methods of real time area based traffic by means of image processing for intelligent traffic control system.

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The impact of organic and chemical fertilizers applications on growth parameters of Coriander was studied in a field experiment at outdoor nursery of Solapur University, in agricultural farm in district of Solapur. The experiment was laid on randomized block design with five treatments and three replications in plot size 2m x1m. The first treatment (T1) is application of vermicompost @ 1 kg/plot (@ 0.5 kg/sq. m). In second (T2) and third (T3) treatment, a common dose of organic fertilizers such as NADEP and pit compost were used at equal rate @ 1.25 kg/plot (@ 0.625 kg/sq. m). In fourth treatment (T4), straight chemical fertilizers such as urea, single super phosphate and murate of potash were combinaly used in proportion 50:40:30 - N: P2O5: K2O Kg/ha. No any fertilizers added in plot treatment (T5) as it was treated as control. Growth parameters such as plant height, no. of branches/plant, no. of leaves/plant, fresh and dry weight were recorded at 30th and 60th day. The highest average fresh and dry weights of Coriander crop were observed in the crops grown on the unfertilized control treatment (T1) at 30th days. The result show that application of vermicompost increases average fresh and dry weights of Coriander crop after 60th days followed by in order control (no fertilizers), NADEP compost, pit compost and chemical fertilizers respectively.

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Nowadays, digitalization is used in every area. In this digitalization one of the processes is QR (Quick Response) code. QR code is widely used in daily life. In QR code has high quality feature such as stored high capacity information in small coded from and embed the secret information .The QR code is used in hide robust message, invisible watermarking, encryption the secret information . QR code is a machine clear encoded frame utilized for information storage as a part of a constrained sum of space in a picture. Sending of QR code pictures from one host to another may bring about malignant assaults and information may lose in the procedure of correspondence. The purpose of this paper is review and analysis on the major technique of QR code. This response code using angle like feature encryption, decryption, cryptography, encode, decode and error detection in many application domain.

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This Research proposes Trusted Proxy Node (TPN) method which is responsible for the trust calculation. The TPN measures an best possible route for communication by examining the network parameters like delivery ratio, overhead & delays. After this trust value index is calculated and TPN node issues a certificate to every node in its network range. This work is presented to detect black hole nodes for AODV protocol in MANET. To make a contribution in routing the nodes must have two trust index (TI) certificates & can be believe as a suggested node by TPN. The record of this certificate is keep up in Trust Index (TI) Table. This trust index table is shared with the data aggregation server with help of trusted nodes. Improved AODV protocol using C++ is written, to simulate the Black Hole attack. In order to test this method simulation model was developed. The simulation results show the usefulness of our scheme compared with usual scheme.

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NASA's Entry, Descent, and Landing (EDL) space technology is introduced new techniques to achieve human exploration of Mars in the coming decades. One of those technologies, termed Supersonic Retropropulsion (SRP), involves initiation of propulsive deceleration at supersonic Mach numbers. The potential benefits afforded by SRP to improve payload mass and landing precision make the technology attractive for future EDL missions. NASA's EDL project spent two years advancing the technological maturity of SRP for Mars exploration. To model the flow field that exists for a vehicle employing SRP, multiple simulation method has been examined. Wind tunnel testing on scale model allows for visualization of the actual flow field structures using schlieren or shadowgraph images. Pressure ports on the body allow for data to be taken to characterize the effects of configuration and thrust level on the aerodynamics of the vehicle. In addition to characterizing the SRP environment, this datasets provide a validation database against with other modeling techniques can be compared. CFD approaches numerically solve the underlying flow equations to generate the solution of the expected flow structure and vehicle aerodynamics. This paper deals with the investigation on the effects of retro propulsion on the blunt body reentry vehicle in an opposing supersonic free stream. The focus is on aerodynamic properties for the application of EDL design and computational simulation development .This paper does not discuss non propulsive supersonic decelerators, detailed aero thermodynamic issues, slender body geometries or exhaust plumes in direction other than the free stream direction. This it also compare the results obtained in central peripheral nozzle locations as well as the computational simulation of supersonic retro propulsion flow fields and limitations of this work.

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This paper presents a robust technique for denoising of vibration signals corrupted by Additive White Gaussian Noise. The proposed method uses Dual Tree Complex Wavelet Transform (DTCWT) and is very efficient due to its shift invariance property and reduced aliasing effect. While using DTCWT, we are comparing Different Threshold selections. The threshold value is selected using Universal, Rigrsure, Heursure and Minimaxi methods and is level adaptive. The best results are obtained by the threshold value selection using ‘Minimaxi’ threshold at low values of noise standard deviation and using ‘Universal’ threshold at higher values of noise standard deviation. Experiments are carried out on simulated vibration signals as well as on real time faulty signal. The comparison of the results of the proposed methods using DTCWT for synthetic signal is done using the signal to noise ratio (SNR). Higher SNR is gained compared to traditional denoising method. For comparison of results of the real time signal, another statistical parameter ‘Kurtosis’ is chosen.

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This paper showcases the development of an interactive website which functions as a Cab Booking System for customers to effortlessly book cabs for travel, the system is named CityCabs. It is an online portal through which customers can view available cabs, register the cabs, view profile and book cabs. A computer based management system is designed to handle the entire primary Information required to manage the whole data. Separate database is maintained to handle all the details required for the correct statement calculation and generations. This project intends to introduce more user-friendly approach in the various activities such as record updating, maintenance, and searching. Standard Web development languages like HTML, JavaScript and PHP were used for Front-end and Back-end development respectively. PHPMyAdmin software was used to maintain and check integrity of databases created.

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In this paper we explain the multilingual speaker identification system. Speaker identification is conducted on 3 Indian languages Hindi, Marathi and Rajasthani. We create a database of 15 person in each language. In our system we use 3 different sentences and each sentence in 3 languages. We focus on the effect of language mismatch in the speaker identification performance of individual languages and all languages together. Mel Frequency Cepstral Coefficient (MFCC) is used for feature extraction. The standard SVM-based speaker identification is used. The average speaker identification rate is as high as 99%.

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Mitigation of nonlinearity is very important factor as it influences the performance of a visible light communication (VLC) system. In this paper several nonlinearities and limitations of VLC systems are analyzed as a review study and detailing about some previous papers to develop a new logic as well as researching for VLC systems and future scopes to make a VLC system reliable. Nonlinearity is discussed and mainly focused in this paper as a main limitation of VLC. This paper discusses about a mitigation technique which is already proposed with micro light emitting diodes (LED) in cooperation with multiple access schemes here mainly CDMA is considered. Nonlinearity limits the performance in terms of bit error rate as well as error vector magnitude. Nonlinearity mitigation methods are proposed earlier but that system designs are not suitable for indoor and industrial applications, because such design required additional circuits, which make the system high cost and complex. This paper can be considered as a literature survey or a case study to analyze VLC and a search for new scopes in VLC.

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Computer Numeric Control (CNC) is the automation of machine tools that are operate precisely programmed commands encoded on a storage medium (computer common module, usually located on the device) as opposed to controlled manually by levers, or mechanically automated by cams alone. Most NC today is computer (or computerize) numerical control (CNC) in which computers play an integral part of the control. In modern CNC systems, end-to-end component design is highly automated using computer-aided design (CAD) and computer-aided manufacturing (CAM) programs. The programs produce a computer file that is interpreted to extract the commands needed to operate a particular machine by use of a post processor, and then loaded into the CNC machines for production. Since any particular component might require the use of a number of different tools drills, saws, etc. Modern machines often combine multiple tools into a single "cell". In other installations, a number of different machines are used with an external controller and human or robotic operators that move the component from machine to machine. In either case, the series of steps needed to produce any part is highly automated and produces a part that closely matches the original CAD design.

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It is beyond imagination that any matter supply is being processed without medium like pipeline of different material and nature so to controlling by means of different king of valve to regulate same. Valves are the most common single piece of equipments found in any utility and services although there are many types, shapes and sizes of valves, they all have the same basic parts. This paper will review the common parts of control valve as packing and sealing so as the functions. The traditional control valve selection process includes selecting a valve design based on (1) Pressure (2) Temperature capability (3) Flow characteristics (4) Characteristics of fluid (5) Material compatibility and other factors. One such major factor is packing selection, which has gained significant attention over the years due to stringent environmental and safety concerns. Today every industry is concern and wants the lower maintenance and higher life performance of packing and sealing materials to minimise the loss and, breakdown and failure related. Packing’s and sealing being suitable not only for those applications where the control of fugitive emissions is a requirement, but also for non-environmental applications involving higher temperature and pressure like in petrochemical industries.

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IMPATT di odes have drawn the attenuation in last few years .Based on previous studies, device performance has been improved from year to year. This paper is focused on GaN IMPATT diode because of the reliable and more matured technology. The progress is based on millimeter –wave application is reviewed. This paper specially emphasized the technique for improvement on output power and efficiency.

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Students' academic performance is perilous for educational institutions because tactical programs can be prearranged in cultivating or maintaining enactment of the students for the duration of their period of studies in the institutions. The upsurge of student’s dropout rate in higher education is one of the significant problems in most organizations. The unearthing of hidden information from the educational data system by the operative process of data mining technique to investigate factors affecting student waster can lead to a healthier academic planning and administration to moderate students drop out frequency, as well as can apprise cherished information for outcome making of policy makers to mend the quality of higher educational system. In this paper, we consider issues of factors affecting prediction accuracy discussed about different techniques of data mining, machine learning which will predict the student performance index. In this paper we have proposed a prediction model which is integration of machine leaning (Logistic Regression) and k-medoid clustering (Data Mining Technique) algorithm for student performance prediction.

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The Steel structures are gives good performance in High Rise buildings requires Stability and design purposes. This research focused on P-delta analysis to be compare with linear static analysis. In This study, a G+21 storey steel frame structure with 72.6m has been selected to be idealized as multi storey steel building model. This model Is analyzed by using ETABS9.7 software with the consideration of P-delta effect. At the same time the influence of different bracing patterns and different location of X bracings has been investigated. For This reason five types of bracing systems including X, V, single diagonal, Double X, K bracing with unbraced model of same configuration are modeled and analyzed. The frame structure Is analyzed for Wind load as per Is 875 (part 3)-1987. Ofter analysis, the comparitive study Is presented with respective to Maximum storey displacement, story drift and column moments. The present work shows That the ‘X’ bracing in continuous bracing pattern Is proved to be more effective with respect to both static and P-delta analysis. So X bracings are using in different locations This shows That Model-4 Is proved to be more effective for same parameters with respect to Both static and P-delta analysis.

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The development of the technology is required for the welfare of the society and nation. This paper will gives you the review of work done in the field of modernization in the development of the manufacturing practices. The sustainable manufacturing (SM) practices proofed that this is the way by which we can save lot of unwanted cost, and can minimized the cost of product because of this now SM would be the next replacement in the scenario of latest technologies in production methodology. This tries to discuss various benefits of sustainable manufacturing. There is requirement of parallel concentration of all three major elements i.e., ecology, economics and social implications in SM during production time and product delivery. So this paper gives you the review on its affect over forward supply chain as well as reverse supply chain.

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Social media systems facilitate the emergence of subject teams that talk actual world occasions. Their content material reflects a ramification of cause ranging from social fascinating (e.g., volunteering to help) to industrial interest (e.g., criticizing product capabilities). Consequently, mining purpose from social records will resource in filtering social media to help teams, like Associate in Nursing emergency management unit for helpful resource designing. However, powerful reason mining is inherently difficult thanks to ambiguity in interpretation, and scantiness of applicable behaviors in social information. we have a tendency to bestowed a completely unique approach to classify intent of Social-Text employing a hybrid approach that mixes knowledge-guided patterns with grammar features(intent) supported bag of tokens victimization this, we have a tendency to style efficient cooperative data systems that facilitate organizations efficiently filter content to fulfill their data desires additionally as interact targeted voters.

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Nowadays, several moving picture trailers area unit on the market on social media and severally indicate whether or not they like or dislike those video trailers. it's into new direction, Video Content analysis-the illustration and modeling of affectional video content[1]. the most focus of this work is to extract the options. the supply of methodologies for extracting content wills extent the present scope of video. The effective content is color, shot and motion. Among several of the multimedia system options, single low-level multimedia system options of shot length variance area unit extremely prognosticative of a viewers like/dislike. The user might want to pick out a moving picture not solely supported its solid, director and story content. Feature extraction and machine learning approaches are often used wont to calculate the score range of like and dislike. Color options, motion options and shot options area unit extracted. Here we have a tendency to calculate the score exploitation shot writing variance pattern. This calculated score supports to predict the success of preview before launching. It helps to avoid the loss of administrators. A trailer needs to have interaction viewers for fewer than a pair of minutes and thirty seconds, that is that the most length allowed by the MPAA (Motion image Association of America). So, the trailer aims to inform the story of a movie in engaging fashion. it's price to mention that in comparison these functions, the ratings of like/dislike correlate closely with the viewers written responses to the preview videos. For police investigation the changes in scene some fast scene analysis algorithms area unit used [2].

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Recently, the online has speedily emerged as a good supply of financial data starting from news articles to non-public opinions. Data processing and analysis of such financial data will aid exchange predictions. We have a tendency to introduce completely unique thanks to derive insights available market behavior supported sentiments of net users. Our Project involves scanning for financial message boards and extracting sentiments expressed by individual authors. Sentiment analysis is performed mistreatment machine learning and also the model can establish the patterns of the exchange supported the emotions of the online users. And any these insights may counsel whether or not to shop for, Sell, Hold, Strongly Buy or strongly sell the stocks.

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The introduction of 3G wireless communication systems, alongside the invasive distribution of digital pictures and also the growing concern on their originality triggers associate degree aborning want of authenticating pictures received by unreliable channels, like public net and wireless networks. to fulfil this want, a content-based image authentication theme that's appropriate for associate degree insecure network and sturdy to transmission errors is planned. The planned theme exploits the quantifiability of a structural digital signature so as to realize a decent trade-off between security and image transfer for networked image applications. During this theme, multi-scale options are wont to build digital signatures sturdy to image degradations and key dependent constant quantity moving ridge filters ar utilized to boost the safety against forgery attacks. This theme is additionally ready to distinguish meddling areas within the attacked image. Experimental results show the lustiness and validity of the planned theme.

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Blockchains allow us to have distributed peer-to-peer network where untrusted members can interact each other without a trusted intermediary in a verifiable manner. In this paper, motivated by recent explosion around blockchain, examines whether they make good fit for IoT sector. Also reviews how this mechanism works and also look into smart contracts-scripts that reside on the blockchain that allow for the automation of multi-step processes. For blockchain-IoT combination: 1) facilitates the sharing of services and resources leading to the creation of a marketplace of services between devices and 2) allows us to automate in a cryptographically verifiable manner several existing, time-consuming workflows. This paper also point out certain issues that should be considered before the deployment of a blockchain network in an IoT setting: from transactional privacy to the expected value of the digitized assets traded on the network. The blockchain-IoT combination is powerful and can cause significant transformations across several industries, paving the way for new business models and novel, distributed applications.

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Multipath fading degrades the performance of wireless communication system significantly as data rate increases. In-order to combat with multipath fading, orthogonal frequency division multiplexing (OFDM) have been used in existing systems. Another effective method is a code division multiple access (CDMA) scheme. It has used extensively for relay network communication systems. In this paper consists of uplink CDMA relay networks and downlink CDMA relay networks. The uplink CDMA relay networks consist of multiple sources, multiple relays and a single destination. In downlink CDMA relay networks consist of a single source, multiple relays and multiple destinations. The objective of the paper is to propose a unique, simple method of finding optimum non-binary pseudo noise (PN) spreading and de-spreading sequences. This employs maximum signal to interference plus noise ratio (SINR) criterion and channel state information (CSI).

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Market Basket Analysis is a technique to identify the items that are purchased together. A predictive market basket analysis is used to identify sets of products/services purchased or events that occur generally in sequence. The fundamental approach is to find the associated pairs of items in a store when there are transaction data sets. Consequently, our proposed framework performing "Market Basket Analysis” will help the retailers to settle on better choices all through the whole organization which will help in expanding the benefits and effectiveness of organization. Map/Reduce to upgrade and change over the current successive calculations to parallel programming so that the propose Market Basket Analysis calculation with Map Reduce will give better Future Prediction. Two calculations are proposed: One is to adjust current Apriori-calculation and second is to build a straightforward calculation that sort’s information sets and changes over it to (key, value) sets to fit with Map Reduce. The framework will be implemented on "MATLAB" structure utilizing Scale with clickstream datasets.

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In the present scenario all the industry wants to increase the productivity by reducing the unnecessary operation, barriers, losses and environmental pollution can help for winning the trust of customers and have began to pay more attention towards procurement. Implementation of procurement will result in significant improvement in all of these areas, material and help to achieve the goal of the industry. Procurement in the one most factor for saving cost by procure better product in right place for good quality product for right time in right place for continuous work of our organization or company. In procurement decision generally involved making buying decision under condition of scarcity. With the help of data analysis, it becomes easy to make use of economic analysis method such as cost-benefit analysis or cost utility analysis. The ANOVA test analysis for mixture machine, labour, steel and stone gives significant result of three procurement parameters i.e. Cost, Quality, Time are considered in which to draw plot graph and mathematical calculation and the result highly quality by help of Taguchi method in order to optimize the procurement process parameters for reducing the total cost of project.

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Data mining techniques and processes helps the organization to analyze the growth and helps to plan for future. There are many area where the data analyst can apply the specific techniques and algorithm to analyze the data from raw data. Today every organization need to analyze their data. Not only the private organization also a government organization need to analyze their data. The data mining area is not limited only for any business organization there are many others area like medical, weather forecasting and many more where data mining techniques are important. Data mining and analysis is very important part on an organization. But there is also need to focus on security and the privacy while mining the data.

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