Relational Database management systems (RDBMS) are extensively used software products in numerous types of systems. As we all are familiar with natural language which is the main communication means for humans, but this causes it not easy to handle damaged information. Earlier, research work while querying data from relational databases frequently goes through one of two ways: the keyword-based approach and the structured query approach. Both the ways have their recompense and disadvantages. The structured query approach, while expressive and powerful, is not easy for naive users. The keyword-based approach is very friendly to use, but cannot express complex query intent accurately. This paper emphasis on Natural Language based query processor and we have discussed different approach of information retrieval system. Natural Language Processing is becoming more important in the field of Human Computer Interaction.

Read More...

With the advancement of huge information age, Convolutional neural systems (CNNs) with increasingly shrouded layers have progressively complex system structure and all the more dominant element learning and highlight articulation capacities than customary AI strategies. The convolution neural system model prepared by the profound learning calculation has made amazing accomplishments in some vast scale ID errands in the field of PC vision since its introduction. The ground-breaking learning capacity of profound CNN is to a great extent accomplished with the utilization of numerous component extraction organizes that can consequently take in progressive portrayals from the information. Accessibility of a lot of information and enhancements in the equipment handling units have quickened the examination in CNNs and as of late fascinating profound CNN designs are reported. This paper right off the bat talk about the ascent and development of profound learning and Convolutional Neural Systems, essential model structure and activities and different profound CNN designs in a word afterwards. Lastly we will have the similar perspective on CNN structures and further extent of advancement.

Read More...

Incremental Dynamic Analysis (IDA) procedures are advanced and then applied to a quantitative risk assessment for bridge structures. This is achieved by combining IDA with site-dependent hazard-recurrence relations and damage outcomes. The IDA procedure is also developed as a way to select a critical earthquake motion record for a one-off destructive experiment. Three prototype bridge substructures are designed according to the loading and detailing requirements of New Zealand, Japan and Caltrans codes. From these designs 30 percent reduced scale specimens are constructed as part of an experimental investigation. The Pseudo dynamic test is then to control on three specimens using the identified critical earthquake records. The results are presented in a probabilistic risk based format. The differences in the seismic performance of the three different countries’ design codes are examined. Seismic response is expected to be resulting damage on structures, which may threaten post-earthquake serviceability. To overcome this major performance shortcoming, the seismic behaviour under bi-directional lateral loading is investigated for a bridge pier designed and constructed in accordance with Damage Avoidance principles. Due to the presence of steel armoured rocking interface at the base, it is demonstrated that damage can be avoided, but due to the lack of hysteresis it is necessary to add some supplemental damping. Experimental results of the armoured rocking pier under bi-directional loading are compared with a companion ductile design specimen. The Pseudo dynamic (PD) test method was developed about 30 years ago by Takanashi et al. (1975) and is thought to be the most efficient and powerful alternative to both STT method and dynamic analytical method, especially when the real response behaviors, such as the damage state during and after a certain earthquake are need to be investigated. On the other hand, considerable number of the dynamic analysis programs running on conventional personal computers has been developed recently and the accuracy and reliability of the results improved as the new theories are applied to them. Also, the cost of running the computer becomes cheaper. Considering these background, the dynamic analysis is strong and reasonable tool for the seismic research except that the dynamic analysis method is needed to assume the simplified model for the properties of structures such as the lateral load and displacement relationship and hysteresis damping factors. On the other hand, considerable number of the dynamic analysis programs running on conventional personal computers has been developed recently and the accuracy and reliability of the results improved as the new theories are applied to them. Also, the cost of running the computer becomes cheaper. Considering these Back ground, the dynamic analysis is strong and reasonable tool for the seismic research except that the dynamic analysis method is needed to assume the simplified model for the properties of structures such as the lateral load and displacement relationship and hysteresis damping factors. As mentioned previously, this research explores the use of a newly developed Seismic Risk Assessment (SRA) methodology. This proposed methodology can be applied Performance-Based Earthquake Engineering as a tool to estimate the damage outcome corresponding to a certain level of an earthquake. Furthermore, this methodology makes it possible to select a critical input earthquake motion for a one off Experiment.

Read More...

From time immemorial, the sun has been the major source of energy for life on earth. The solar energy was being used directly for purposes like drying clothes, curing agricultural produce, preserving food articles, etc. Even today, the energy we originate from fuel-wood, petroleum, paraffin, hydroelectricity and even our food originates obliquely from sun. Solar energy is almost unbounded. The total energy we obtain from the sun far exceeds our energy demands. Ever since the industrial revolutions human have been dependent on fuels, electricity and wind energy. For human enlargement in many countries there is study and trials are going on the Solar energy and the wind energy, So we make our new concept solar powered grass cutting machine in these concept we cut grass on the agricultural products or on small plants in lawns and gardens. Remote controlled grass cutter can be described as the application of Radio frequency to power a machine on which electric motor rotates which in turn rotates a blade which does the mowing of a grass.

Read More...

In recent years we have seen an amazing improvement in applications using Deep learning. It started with speech recognition then moved on to computer vision, object recognition and natural language processing. Deep learning constitutes a recent, modern technique for image processing and data analysis, with promising results and large potential. Deep learning are machine learning algorithms based on learning multiple level of abstraction. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech. In this study we have done a survey to provide a general overview on the novel concept and the ever-increasing advantages and popularity of deep learning.

Read More...

News is “the communication of selected information on current events”, where the selection is guided by “newsworthiness” or “what interests the public”. News are also stories, from which the reader usually expects answers to the five Ws: who, what, when, where and why, to which a “how” is often added. News-style writing – as opposed to, for example, commentary writing – generally strives for objectivity and/or neutrality (the representation of different views on the event). Peoples are always in search of the news article which to much interesting and will provide the lots of information in such cases there are lots of web portals are available which are providing an information. It is very cumbersome task to search the interested news article over web, it is also a time consuming process. User need to go through various news portal first and then find out the interested news. Automatic point extraction may be a tough drawback, and in this paper we also provide strategies solving that task. We study the standard of the point extraction, and also provide results from clustering the extracted news items

Read More...

Because of extensive use of several computer tools such as smartphones, laptops, wearable computing devices; the data handling online has actually gone beyond greater than the modern-day computer systems can manage. Because of this high development price, the term Big Data is imagined. Nonetheless, the rapid development price of huge data will certainly create countless difficulties, such as data inconsistency and also incompleteness, scalability, timeliness, and also security. This paper offers a quick intro to the Big data technology as well as its significance in the modern globe. This paper addresses numerous obstacles as well as concerns that require to be stressed to provide the complete impact of big data. The devices utilized in Big data technology are additionally gone over carefully. This paper additionally goes over the qualities of Big data as well as the platform made use of in Big Data i.e. Hadoop.

Read More...

Oil is any hydrophobic chemical matter that encompasses viscosity at ambient temperature. Oil spills enter the ocean by the help of shipping travel, drains, dumping and can be very toxic for ocean creature. In this present research article bacteria was isolated from oil contaminated soil , strain improvement was done by physical method applying uv rays, media was optimized for that bacteria.

Read More...

This article presents the design and implementation of a ride sharing application for a mobile environment. It will enable users to share car rides in an efficient and simple way. Use of this system should reduce significantly the number of private cars on the roads, providing ecological, economical, and social benefits. The application is designed for "smartphones", thus enabling implementation of the sharing in real time, from anywhere, anytime. The application requires an algorithm for finding sub-routes in a user-defined path, according to the number of matched points along the path. This application differs from the existing car sharing applications in several ways. The article will describe both the system and the specific differences from other softwares.

Read More...

Rapid increase in volume and types of solid and hazardous waste due to continuous economic growth, urbanization and industrialization, is becoming a burgeoning problem for national and local governments to ensure effective and sustainable management of waste. It is estimated that in 2006 the total amount of municipal solid waste generated globally reached 2.02 billion tones, representing a 7% annual increase since 2003 (Global Waste Management Market Report 2007). The segregation, handling, transport, and disposal of waste needs to be properly managed to minimize the risk to the health and safety of patients, the public, and the environment. The economic value of waste is best realized when it is segregated. Currently, there is no such system of segregation of dry, wet and metallic wastes at the household level. This paper proposes an Automated Waste Segregator (AWS) which is a cheap, easy to use solution for a segregation system for household use, so that it can be sent directly for processing.

Read More...

Previous surveillance systems were based on aircrafts and CCTV cameras. Limitations of these systems are less cost effective and restrictions over areas to be monitored. Such systems are highly dependent on human operator for supervision and intervention. So, we have adopted the monitoring using drone technology which can overcome the limitations of both systems explained above. as drones have meaningful growth and is useful for detecting faults in critical areas. drone based image capturing system based on platform arduino controller and multichannel sensing module. This paper focuses mainly on operational and tactical drone application in disaster management using a time-scaled separation of the application, like pre-disaster activity, activity immediately after the occurrence of a disaster and the activity after the primary disaster elimination. Paper faces to 5 disasters, like nuclear accidents, dangerous material releases, floods, earthquakes and forest fires. Author gathered international examples and used own experiences in this field. Results and discussion: An earthquake is a rapid escalating disaster, where, many times, there is no other way for a rapid damage assessment than aerial reconnaissance. For special rescue teams, the drone application can help much in a rapid location selection, where enough place remained to survive for victims. Floods are typical for a slow onset disaster. In contrast, managing floods is a very complex and difficult task. It requires continuous monitoring of dykes, flooded and threatened areas. Drone can help managers largely keeping an area under observation. Forest fires are disasters, where the tactical application of drone is already well developed. Drone can be used for fire detection, intervention monitoring and also for post-fire monitoring. In case of nuclear accident or hazardous material leakage drone is also a very effective or can be the only one tool for supporting disaster management.

Read More...

For a successful construction project it needs to be well balanced within time, cost and quality factors. Within the construction management a measurement of performance in cost, time and quality point of view is very fundamental task. This is usually based on professional observations and checkings with use of metrics such as Key Performance Indicators (KPIs). Due to considerable changes in recent times, technology widening and high expectations of user need of key performance indicators in construction industry has increased to pace up with others. As construction industry is facing issues with maintaining quality, this type of study has become necessary. KPIs helps to more economical utilization of all resources and resulting into improvement in quality performance by user point of view. This project work is focused on implementing Key performance indicators within planning, scheduling stage as well as day to day quality performance checks. The quality breakdown structure is adopted as basic tool to consider various elements in construction quality for different work packages in construction project. Analytical Hierarchy Process (AHP) has been adopted to put them in relationship and to evaluate their relative weight in project and its sub processes.

Read More...

This project mainly deals the concrete to float in water by using the combination of light weight aggregate and Air entraining agent of Aluminium powder .The main idea of our project is that the light weight aggregate in the concrete reduces the self- weight of the concrete, so that density of the concrete reduces. Hence the density of the concrete is less than 1000kg/m3, the concrete floats in water. For making this type of light weight concrete, we don’t know the proportion to be mixed in concrete, So that we have adopted the trial and error method to solve this problem. The density of concrete comes under the limit of 500 to 900 kg/m3. The proper mix design of the floating concrete is not arrived, so we have taken the mix ratio from the help of journals. We have used various materials like Fly-ash, gypsum, Lime powder, Pumice stone, Aluminium powder, Polypropylene, GGBS, Vermiculate, Sand, Cement etc. we have successfully achieved the floating property of the concrete from the combination of below ingredients Cement, Lime powder, Gypsum, Fly-ash, Aluminium powder, Polypropylene, Sand . we have partially replacing the cement byFly-ash(48%), Lime(17%), Gypsum(6%), and then fine aggregate of the sand is replaced by 50% of polypropylene. We have added air entraining agent of Aluminium powder by 2- 10%. Finally the floating property and the compressive strength of the concrete are tested.

Read More...

E-Governance is the need of the hour and many citizen centric services are either online or going to be online. Any citizen to take benefit of these online e Governance services need to have an access of any computer/mobile and a good internet connection. But citizens are not able to take full benefits of these citizen centric governance services because of Internet connectivity issue. Even at some locations there is no internet connection at some times. As most of the citizen services portals are using text for communication therefore we have developed a service in the form of mobile app which have an easy to use GUI and in the background it normally uses internet services and in case the services are not available then automatically it can use encrypted SMS to request data from server and the server is able to send the data to the user mobile app via encrypted SMS which the app can decrypt and provide on the GUI of mobile app. The app must provide the data to the user in the same GUI whether if it is online or offline. The goal is to provide all the e-governance facilities to the users even who are not connected to the internet.

Read More...

This project is to build a quad copter that can accomplish a variety of practical tasks like delivery of drugs and medicines with parallel video surveillance. The market for multipurpose drones has the potential to be expansive once proper regulations by government are passed. A Quad copter can achieve stable vertical flight and can be used to monitor or collect data in a desired region. Advancement in technology have reduced the cost and increased the performance of low powered microcontrollers that allow enthusiasts to develop their own Quad copter.

Read More...

Industrialization plays a major role in economic development, infrastructure, growth and prosperity of any country. But these industries affect our environment so badly which causes global warming, greenhouse effect, ozone layer depletion, acid rain, pollution etc. Due to these threats green supply chain management comes into picture and many researchers are working on this. It will help in sustainable development of the society. With the help of many researches, literature we are able to know about drivers and barriers of Green Supply Chain Management. There are many methodologies like Interpretive Structural Modelling (ISM Technique), Regression Analysis, Questionnaire Process available which can analysed effect and response of Green Supply Chain Management. This paper has analysed some researches and shows the response of the industries which had surveyed; drivers and factors of Green Supply Chain; Requirements for effective Green Supply Chain Management. In the way of implementation of GSCM, there are some factors in the way of GSCM which we have analysed in this paper with the help of ISM technique. With the ISM technique we will obtain the ranking or hierarchy of some factors of GSCM which will help in the industries to focus on those problems and we can know that which factor is most dominating and which is least dominating.

Read More...

The main purpose of this research paper is to explore the consumer perception, and impact of packaging strategies with respect of buying behaviour of consumers. Packaging is playing a vital role to communicate the final consumers with proper information. Packaging not only protects items, it carries the proper matter about the company product. So companies in order to create the right packaging for their products, they must understand the consumer buying process and understand the impact of packaging strategies on consumer buying behaviour. The prevailing research paper examine focuses on consumer perception about packaging techniques and the impact of packaging strategies on buy notion of customers with regard FMCG merchandise, in which in the scope of study changed into limited to Hyderabad town. A shape questionnaire was used to degree the effect of packaging strategies and each age of the man or woman changed into cantered in this research study for to get the purchase behaviour of customer in the direction of FMCG with decided on products, with pattern size 825 respondents and examined through descriptive information, chances, ANOVA, correlation by means of the usage of SPSS 20.0 version. The end result of the look at showed that According through respected hypothesis, HO1 reveals there is a statistical significance of consumer perception with regards to FMCG packaging strategies, consumer perception variable like "product convenient to use" is not statistically significant, and followed with H02, there is a significance impact of FMCG packaging strategies on the consumer buying behaviour, but variable like small sachet packaging and colour packaging are not significant with consumer buying behaviour.

Read More...

Will Wi-Fi signals empower us to see through dividers? For a long time people have fantasized about X-beam vision and played with the idea in comic books and science fiction motion pictures. This paper investigates the capability of utilizing Wi-Fi signs and late advances in MIMO interchanges to manufacture a gadget that can catch the movement of people behind a divider and in shut rooms. Law implementation faculty can utilize the gadget to abstain from strolling into a trap, and limit setbacks in standoffs and prisoner circumstances. Crisis responders can utilize it to see through rubble and crumbled structures. Common clients can use the gadget for gaming, interruption recognition, protection improved observing of kids and older, or individual security while venturing into dull back roads and obscure spots WI-VI is based on the standard of RADAR and SONAR imaging (Doppler impact). RADAR is an article location framework which utilizes radio waves to decide the range, height, course, or speed of items. It is like the manner in which radar and sonar work however without the costly, massive rigging and confined frequencies that radar requires. Relies upon its very own transmitting signal. The idea fundamental seeing through dark snags is like radar and sonar imaging. In particular, when looked with a non-metallic divider, a small amount of the RF flag would navigate the divider, reflect off items and people, and return engraved with a mark of what is inside a shut room. Signal control in the wake of crossing the divider twice (all through the room) is decreased by three to five requests of extent. Significantly all the more difficult are simply the reflections from the divider, which are a lot more grounded than the reflections from articles inside the room. Reflections off the divider overpower the collectors simple to advanced converter (ADC), keeping it from enrolling the moment varieties because of reflections from articles behind the divider. This conduct is known as the "Streak Effect" since it closely resembles how a mirror before a camera mirrors the cameras glimmer and keeps it from catching articles in the scene. So how might one defeat these difficulties? The radar network has been researching these issues, and has as of late presented a couple of ultra-wideband frameworks that can recognize people moving behind a divider, and show them as masses moving in a diminish foundation.

Read More...

An emerging class of Wireless Sensor Network (WSN) applications involves the acquisition of large amounts of sensory data from battery powered, low computation and low memory wireless sensor nodes. This paper focuses on minimizing and optimizing energy consumption based on the routing method as a general model for WSN deployment and development. The model deals with all common aspects of energy consumption in all types of WSNs. The proposed work presents an improved version of LEACH protocol which aims to reduce energy consumption within the wireless sensor network and prolong the lifetime of the network. This paper improves LEACH protocol by improving the selection strategy of the cluster-head node based on remaining the previous performance with respect to failure of sensor nodes as being a cluster head.

Read More...

Credit Card Fraud is one of the biggest threats to business establishments today. However, to combat the fraud effectively, it is important to first understand the mechanisms of executing a fraud. Credit card fraudsters employ a large number of modus operandi to commit fraud. In simple terms, Credit Card Fraud is defined as: "When an individual uses another individuals credit card for personal reasons while the owner of the card and the card issuer are not aware of the fact that the card is being used. Further, the individual using the card has no connection with the cardholder or issuer, and has no intention of either contacting the owner of the card or making repayments for the purchases made." Credit card frauds are committed in the following ways: An act of criminal deception (mislead with intent) by use of unauthorized account and/or personal information - Illegal or unauthorized use of account for personal gain - Misrepresentation of account information to obtain goods and/or services. Contrary to popular belief, merchants are far more at risk from credit card fraud than the cardholders. While consumers may face trouble trying to get a fraudulent charge reversed, merchants lose the cost of the product sold, pay chargeback fees, and fear from the risk of having their merchant account closed. Increasingly, the card not present scenario, such as shopping on the internet poses a greater threat as the merchant (the web site) is no longer protected with advantages of physical verification such as signature check, photo identification, etc. In fact, it is almost impossible to perform any of the physical world checks necessary to detect who is at the other end of the transaction. This makes the internet extremely attractive to fraud perpetrators. According to a recent survey, the rate at which internet fraud occurs is 12 to 15 times higher than physical world fraud. However, recent technical developments are showing some promise to check fraud in the card not present scenario.

Read More...

Water is very essential for human life as it is a god like thing. Due to high growth of population and industrial developments especially from the early 20th century, people living in rural areas and remote villages suffer with shortage of drinking water. People living in urban and rural areas depend on surface and ground water sources, where these sources are majorly polluted by industrial waste. The use of reverse osmosis technique and other conventional technique appears to be costlier technologies and requires a very large land mass. An economical method of converting the saline water to potable water is by using solar energy. Solar still desalination is one method of converting saline water into Potable water by evaporation and condensation. Many researchers carried out Extensive studies on the solar still desalination technique and this paper communicates a detailed review about the existing desalination technique by solar energy.

Read More...

In the present paper, we are use the artificial neural network to recognize the character. In this paper it is developed 0ff-line strategies for the isolated handwritten English character (A TO Z) and (0 to 9) This method improves the character recognition method. Pre-processing of the Character is used Binarization, thresholding and segmentation method .The proposed method is based on the use of feed forward back propagation method to classify the characters. The ANN is trained using the Back Propagation algorithm. In the proposed system, English numerical letter is represented by binary numbers that are used as input then they are fed to an ANN. Artificial Neural network followed by the Back Propagation Algorithm which compromises Training.

Read More...

The creating excitement for PC Vision, structure affirmation and Face recognition progressions from ongoing years. This is developing at two fold rate of getting ready power every year, face distinguishing proof and affirmation advancements has surpassed desires from another to a prominent locale of research in Open-CV (PC vision) and a champion among the best and valuable employments of picture examination and computation based estimations. Because of the trademark thought of inconveniences, PC vision is not only a product designing zone of research, yet furthermore the object of neuro-consistent and mental examinations, in a general sense because of the genuine inclination that impels in PC vision and picture planning, and understanding investigation will give bits of learning into how our cerebrum work and the a different way.

Read More...

Tall building improvement includes different complex factors, for example, financial matters, style look, innovation, civil directions, and legislative issues. Among these, financial matters has been the essential administering factor. A shear interface structure gives incredible basic productivity to limit stretch convergence of a structure with bracings. A shear interface structure is a sort of auxiliary framework comprising of bracings associated through even rings which make an exquisite and excess structure that is particularly productive for elevated structures. In this study we present cost analysis of tall structure with shear links to determine the cost effectiveness of the structure. And concluded that steel bracing frame will be economical and lateral load resistive.

Read More...

In general car bumper is considered as the front most and rear most part designed to withstand damage to vehicle’s safety systems. During frontal crash, the bumper beam is the main component which undergoes damage and transfers remaining energy to other parts of the car. Thus, there is a need to further improve the design of bumper beam to ensure the safety of automobile confirming minimum accelerations are transferred to the occupants. In this work an attempt is made to further improve the material of the bumper beam to enhance the passive safety of the occupants. This is proposed to achieve by using aluminium honey-comb panel as a filler material between bumper beam and support region. Primarily the behavior of the hollow rectangular aluminium tubes will be determined using Ansys. The honey comb panel will be embedded into the hollow rectangular aluminium tube which will be arranged along the bumper space so that tubes can withstand major portion of the impact energy. Enough space between the tubes will be provided to permit displacement to tubes during crush. The influence of aluminium honey comb panels will be analyzed.

Read More...