NLP (Natural language processing) is a technique for the mechanical analysis and illustration of human language. NLP is a IR (Information retrieval) systems which are shabby for discovery, within a immense text database, containing details desirable by a user. Natural language based IR system will be much constructive. Natural language processing based IR systems are extremely competent to indicate and manipulate the obscure query as complex and uncertain relationship presented among them. The conventional query in relational database management system is not capable of satisfying the needs for dealing with queries which are in natural language. In this paper we have discussed about a Intelligent IR’s and some fuzzy based query system, we have proposed an intelligent IR system based on natural language processing which uses fuzzy logic for query processing for complex queries. We have implemented a software tool which can execute complex query on natural language and we can fetch the information from the database very effortlessly which uses NLDBR architecture.

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Currently, Mobile operators area unit busy with preparation of 5G technology particularly, LTE-advanced or WIMAX 802.16m. This 5G technology are finished inside 2 years. 6G technologies aren’t standardizing nevertheless, most likely 6G customary can outline in 2 to a few years, and its preparation can begin around 2020. In future, folks can expect same quality of net property because the device is capable. This technology can embody every type of advanced options that build 6G technology additional powerful. The most options we would like to feature in 6G mobile network is that user will at the same time connect with the multiple wireless technologies and may switch between them. Forthcoming mobile technology has got to support IPv6 and flat IP. This paper explains totally different technology that we would like to incorporate creating future mobile technology additional powerful and additional in demand.

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this paper uses a real-time prototype driver fatigue monitor. It uses remotely located ADXL-335 along with eye blinking sensor for monitoring the level of alertness of the driver based on the eye lid and the head movement of the driver. A probabilistic model is developed to model human fatigue and the fatigue based on the current visual cues obtained. The simultaneous use of both the cues and their symmetric combinations yields a much more robust and accurate fatigue characterization .The system was validated under real time fatigue conditions of driver with/without glasses. It was found to be reasonable, robust and reliable.

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Cloud storage is a model of data storage in which the digital data is stored in logical pools, the physical storage spans multiple servers and physical environment is managed by the hosting company. One of the major functions of cloud storage is sharing of data. In this paper, we use a new public key cryptosystem which use a constant size ciphertext. This can provide an efficient decryption mechanism. Any set of keys can be aggregated and can be made as compact as possible. The user who holds the key can release the constant size key that is aggregated for the different choices of ciphertexts within the cloud storage. Even though, the users can release those aggregate keys, the other files that are encrypted will be kept confidential. The aggregated key can be securely stored in the smart cards.

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Slope stability radar is a relatively new technology and is improving the way mines manage and minimize the risks associated with slope instability, enabling the appropriate precautionary measures to be taken. This technology meets the requirements that a monitoring system should have regarding precision, area coverage and failure mode detection. It is reliable in a variety of conditions, operates in a safe mode not requiring personnel to work on or near instability, and does not obstruct mining operations. The radar is equipped with a wireless link which transmits data in real time so engineers can make immediate decisions without having to be near a potentially unstable slope and the radar is trailer mounted for easy relocation. A variety of displays for data interpretation are available including deformation maps, digital photographs for reference and plots of deformation over time of specific points on the wall face. Alarm thresholds can be set, and are based upon total deformation and deformation of an area over a time frame.

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Multi-tenant database is a new cloud computing paradigm that has recently attracted attention to deliver database functionalities for multiple tenants to create, store, and access their databases over the internet. In this paper we propose an application for students to search for a college they wish to get the details of. This application combines multi-tenant relational tables and virtual relational tables and makes them work together to act as one database for each tenant. This application is suitable for multi-tenant database environment that can run any business domain database by using a combination of a database schema, which contains shared physical structured tables and virtual structured tenant’s tables

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This paper focuses on Field Programmable Gate Array (FPGA) which is designed to user operate as an non systematic, convolutional encoder with its best performance configuration with a code rate of 0.5 and constraint length 3. BPSK is modulation technique which is implemented for this system which is analyzed to be the best modulation technique so far. Errors do occur randomly in any communication system is the most concerning factor since it makes the system vulnerable to security threats. A system being designed to prevent such treats by detecting, amending the errors as far as possible. Convolutional codes is a supreme forward error correcting (FEC) code with a least code rate which serves this purpose.

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Test-data generation for object-oriented programming (OOP) is challenging due to the features of OOP, e.g., abstraction, encapsulation, and visibility that prevent direct access to some parts of the source code. To address this problem we present a new automated search-based software test-data generation approach that achieves high code coverage for the source code and reduces the search space. For that we first describe the test-data generation problem for object oriented testing to generate relevant sequences of method calls. In this paper, proposed technique uses means-of-instantiation, diversification strategy and seeding strategy for object oriented generation and sequence caller for search space reduction. Finally, we show that our technique is more efficient than the randomized technique as it reduces the search space better than the randomized one. It also uses a seeding strategy and a diversification strategy to increase the likelihood to reach a test target.

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In this Paper represent the impulsive noise Removal speech using rank order mean. Speech is a very rudimentary way for persons to transport information to one additional with a bandwidth of only 4 kHz; speech can convey information with the feeling of a humanoid voice. The language indication has convinced properties: It is a one-dimensional signal, with time as its self-governing variable, it is chance in countryside, it is non-stationary, and i.e. the frequency spectrum is not continuous in time. Though humanoid existences have an audible frequency range of 20Hz to 20 kHz, the humanoid speech has important occurrence components only up to 4 kHz. In this work a method for removal of impulse noise from the speech signal using Rank Order Mean is proposed. The rank order differentiation is applied to input signal to estimate the time occurrence of impulsive noise. Then rank order mean is used for replacing the noisy samples to get the noise free signal. The above described technique shows improvement in terms of Signal to Noise Ratio (SNR) and Perceptual Evaluation of Speech Quality (PESQ) w. r. t to the existing techniques. Noise cancellation is the process of removing background sound from language sign. The squalor of speech due to presence of contextual noise and several other noises reason problems in various sign processing errands like speech credit, speaker recognition, and speaker verification etc. Numerous methods have been extensively used to remove noise from speech signal like linear and nonlinear filtering methods, adaptive noise annulment, total difference demising etc. This paper addresses the problem of reducing the impulsive sound in talking signal using compressive sensing method. The results are compared against three well known speech improvement means, spectral deduction, Total difference denoising and signal dependent rank order mean algorithm.

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User authentication is one of the principal topics in information security. Traditional strong password schemes could provide with certain degree of security; however, strong passwords being difficult to memorize often leads their owners to write them down on papers or even save them in a computer file. As a result, security becomes greatly weakened. Textual passwords are the most common method used for authentication. But textual passwords are vulnerable to eves dropping, dictionary attacks, social engineering and shoulder surfing. Graphical passwords are introduced as an alternative technique to textual passwords. Most of the graphical schemes are vulnerable to shoulder surfing. To address this problem, text can be combined with images or colors to generate session passwords for authentication. Multiple colors or images are used to confuse the peepers, while not burdening the legitimate users. Meanwhile, the scheme is resistant to shoulder surfing and intersection attack to a certain extent. Session passwords can be used only once and every time a new password is generated. In this paper, two techniques are proposed to generate session passwords using text and colors which are resistant to shoulder surfing. These methods are suitable for Personal Digital Assistants.

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The influence of mobile devices in today’s generation is increasing continuously. The general purpose OS running on desktop machines are different from mobile operating system in design and capabilities. [7]The Symbian operating system is one the mobile operating system that was used in many mobile brands. The features and architecture of symbian OS are briefly described and also the owners of this OS are described in this paper. Firefox OS Mozilla is making a development of HTML5 based mobile platform. Mozilla introduced a number of mechanisms that make the security landscape of Firefox OS distinct from both the desktop web and other mobile operating systems. From application security point of view two important mechanisms are introduced as Content security policy and code review. All the excitement about the Costlier iPhone phones are vanishing after the arrival of new open source operating system for Smartphone’s i.e. Firefox OS developed Mozilla which is previously well own for their web browsers. Firefox OS is based on wen technologies which are mainly used as open standard techniques HTML, JavaScript. Firefox OS is based on Gaia user interface. Due to its low cost and long battery backup Firefox OS will make history in sales.

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As we know Wi-Fi technology enables devices to be connected without having to constantly rewire a home whenever a device is moved around the house.However, Wi-Fi can only handle so much –and its maximum data capacity will soon be too low to connect all of these devices in the home at once You may have already experienced this first-hand it your family likes to stream movies or television shown on more than one device at time.To recover this problem-tested a possible solution, In 2011, Harald Hass, an engineering professor at the university of Edinburgh, invented a technology called light Fidelity or Li-fi. Instead of using Radio waves to communicate, Li-fi uses visible light. It means Li-Fi can use white light for data transmission by using LED bulbs which having high intensity and variations that human eye can’t follow it.

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Cloud computing promises to change the way we use computer, mobile, access and store our personal and business information. The traditional data protection mechanisms such as encryption have failed in preventing data theft attacks. To overcome the security issue in existing system we propose Fog Computing which is different approach for securing the data in the cloud using offensive decoy technology. This technology protects against misuse of user real data. The fog computing is not replacement of cloud it is just extend the cloud computing by providing security in cloud environment. The main aim of fog computing is to place the data close to the end user.

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In many application areas such as education, crime prevention, commerce, and biomedicine, the volume of digital data is increasing rapidly. The problem materializes when retrieving the information from the storage media. Content-based image retrieval systems aim to retrieve images from large image databases similar to the query image based on the similarity between image features. This paper proposes a technique to retrieve images based on color feature using histogram and texture feature using wavelet transform. The color from image is extracted by quantifying the HSV color space into 8x8x8 histogram. In this retrieval system, Euclidean distance is used to measure similarity of images. This algorithm is tested by using WANG image database. The performance of retrieval system is measured in terms of its recall and precision.

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The discovery of patterns from a large data set is known as data mining. In this, information is being tapped from a big collection of data and is being transferred to other structure that will be familiar to the users. These days, many organizations are seen to use the keyword search more often than before. Keyword queries over databases provide effortless reach to data and information. Keyword Query Interface is being used to furnish resilience and effortless access to complete the search of data. Goal of this paper is to prove that the system of predicting the keyword queries on databases is adequate than the existing systems for which a survey was done. Based on the selected parameters viz, speed, flexibility, robustness, noise, accuracy few papers were surveyed and outputs were recorded. The papers taken for surveying are studied thoroughly and a comparison was done on the basis of parameters chosen.

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Author need to perform some survey study on smart cost solutions as per the need of present environment , mobile as well as mobile oriented devices are getting increases as the users are getting higher and higher as what author feel that one need to make resolve the problem scenario of such growing technology by some computing application so that at some extent complexity of problem issues can be resolve for normal peoples, therefore one develop and design a new application interface to solve smart cost issues before develop one has performed a survey study here in which he investigate so many article and application to propose the new concept. This is a survey paper on Smart Cost Solution project which developed by using Java and Oracle technology for online smart phones repairing services. Mobile devices are very important technology which is very needful for many peoples. But when they realize that their smart phone is not working, they have to go into market and search the shop for repairing. [1] I.e. Every user in the market has smart phone but when gadget got damaged from any reason than there is no online solution for these type of problem. So in Smart Cost Solution users can find the cheapest solution for repairing and servicing on this web application. As per the user requirement, application will provide list of service providers and get peak and home service of the smart phone with minimum cost.

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As the numbers of users are rising there is a need of effective management of library, one such effective system is our E-Library. It can help user to manage the transaction or record more effectively and it is time-saving. The maintenance of the records are stored in SQL server which can retrieved easily afterwards. The transactions like login, register, add, search, renewals are provided. The Library Management System stores the all details like name, ID number, address and contact number of members working in the library and users of library. The book details such as title, book ID, subject to which it belongs, author of book, book edition, year of publication and the total number of books that are present in the library etc. are also stored.

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Concrete filled steel tubular column is currently being widely used in the construction of modern buildings and bridges. Concrete filled steel tubular column resisting the lateral force when suddenly earthquake occurs. On the other side, cost of concrete is attributed to the cost of its ingredients which is scarce and expensive, this leading to usage of economically alternative materials in its production. This requirement is drawn the attention of investigators to explore new replacements of ingredients of concrete. This paper deals with the behaviour and performance of partial and fully replaced GGBS filled steel tubular column under uniaxial loading condition. The present paper focuses on investigating characteristics of M40 grade concrete with partial replacement of cement with ground granulated blast furnace slag (GGBS) by replacing cement via 0%, 50%, 100% and alkaline liquids are used for the binding of materials. The alkaline liquids are Sodium hydroxide and sodium silicate. The external diameter of the steel tubular column is 100mm , thickness of the steel tube is 3.5mm and height of the steel tubular column is 600mm. Therefore the results revealed that in 50% replacement of cement by GGBS the load carrying is high and deflection is less when compare to 0% and 100% replacement.

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Incident discovery in video is a investigate vicinity which attempts to build up a computer system with the capability to robotically read the video and locate the happening from images. Now a day there is a huge demand to find the Event depending on motion relativity and feature selection. In this paper, we propose our predictive based on movement relativity and feature selection for video incident discovery. Furthermost, we recommend a new movement feature, namely The concept of Expanded Relative Motion Histogram of Bag-of-Visual-Words (ERMH-BoW) is used for motion relativity and event detection. In ERMH-BoW, by representing what aspect of an event detection with Bag-of-Visual-Words(BoW), we construct relative motion histograms between different visual words to show the objects activities or how aspect of the event. ERMH-BoW thus integrates both what and how aspects for a absolute event description. Meanwhile, we show that by employing motion relativity, it is invariant to the varying camera movement and able to honestly describe the object activities in an event. We further propose a approach based on information gain and in formativeness weighting to select a cleaner. Our experiments are carried out on several challenging datasets provided by TRECVID for the MED (Multimedia Event Detection) task. It demonstrate that our proposed approach outperforms the state-of-the-art approaches for video event detection.

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Nowadays, automation in the industry as well as in real life is a global need for ease of operation, flexibility and operational safety. This paper presents automation on controlling the movement of a bridge using a programmable logic controller. The idea is to automate the process of ship detection, opening or closing of a bridge, controlling the signals and road barriers. The purpose of the research is to replace the manual system which is currently used, compare the time and manpower requirement for both the existing system with the proposed automated system. The siemens S7 200 series PLC is used to mechanize the system. Sensors such as IR are used to provide input to the system. And motor such as servo and DC motor serves as an output. Ladder diagram as a programming language is used to control the whole system between the input and output. With the help of IR sensor the arrival and leaving of the system is Monitored and bridge is operated accordingly.

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Internet is the global system that connects billion of devices wirelessly worldwide by following the Internet Protocol suite (TCP/IP). One of the main and solemn threats on the Internet is Spam. Spam refers to the abuse of electronic messaging system by sending unrequested bulk messages desultorily. Botnets are considered one of the main contributors to the sources of spam. Botnet refers to a group of software called bots. The function of these bots is to run on several compromised computers autonomously and automatically. Spamming causes illicit consumption of network resources in general and mail system in particular. A Spambots or Web Spambots harvest e-mail addresses found on web pages over internet in order to build mailing list. These Spambots are the type of web crawler with added functionality of sending mails to the email addresses mined from the web pages. The task of this research is to design the Web Spambots android application that runs on any android device running Kitkat (4.4.0) or ameliorated version. The development include and describe the three main steps pre-processing, pattern finder and expression extraction.

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The success of android operating systems lies in its open source nature and wide range of freely available applications. Even if today android holds big share of market, still there is need to make application available in different operating systems to make it popular and reachable to wide variety of people. Most of the firms need different set of codes and efforts if they want to develop application which will support multiple types of mobile devices and operating system. MEAP (Mobile Enterprise Application Platform) help to develop application which will require minimum coding and efforts to get deploy on different platforms. MEAP is long term approach to achieve mobility of mobile application with less effort. In this article we are presenting the study of recent android application development tools, process and methodologies.

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Ultrasonic devices are used to detect objects and measure distances of many objects. Quality of ultrasonic sensor should be high in order to provide better accurate measurement. Manufacturing industries provide this sensor along with quality certificate depending on accuracy. This paper proposed suitable technology for quality control of ultrasonic sensor. It makes a test bench using some mechanical support, stepper motor and camera. Once this sensors will be checked using this system, it will supply to the market. So, result of this system helps for generating certificate for sensor’s quality. Two types of test were conducted to compare distance measurement results and understand how to improve the distance measurement accuracy. These two types are test bench and camera attached to stepper motor for vernier caliper scale. The advantage of this project is low cost manufacturing, minimum process time and better accuracy.

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As in the running world, there is a lot of demand for the software systems to recognize characters and words in computer system when information is scanned through paper documents as we know that we have number of newspapers and books which are in printed format related to different subjects. These days there is a huge demand in “storing the information available in these paper documents in to a computer storage disk and then later reusing this information by searching process”. Compared to various existing available character recognition systems it improves the accuracy of recognizing the characters during document processing. Since our character recognition is based on a grid infrastructure, heterogeneous characters of different universal languages with different font properties and alignments are recognized easily. We proposed a novel algorithm in this paper to extract text/characters from a scanned image using neural networks by using a method for combining independently trained networks to achieve higher performance. Proposed system consists of the following steps 1) Image Processing 2) Image Training 3) Image Recognition 4) Image Editing and 5) Image Searching. In our paper it is shown that, the proposed system is better than the existing systems and try to improve the efficiency and accuracy of recognizing the characters from a scanned image.

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The aim of this work is to develop a VANET-Simulation scenario for supporting various VANET specific applications mobile distributed applications ranging from traffic alert dissemination and dynamic route planning to context-aware advertisement and file sharing. The main concern is whether the performance of VANET routing protocols can satisfy the throughput and delay requirements of such applications. Considering the large number of nodes that participate in these networks and their high mobility, The problem still exist about the feasibility of applications that use end-to-end multi-hop communication in Intersection Routing on City Roads when they are executed in Real-Time Vehicular Traffic. Simulation was done using urban city maps settings and they will evaluate performance best in terms of average delivery rate.

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