Today, social media are playing a capital role in various organizations, institutions and libraries. This paper deals with the concept of library and social media and also discussed in paper that how to social networking applications are governed the libraries and generating new relations with library users. This paper discusses how the social media is more beneficial of the users of Library. Social networking sites (facebook, twitter, flicker, linkedIn etc) are the newest technologies demonstrating libraries the opportunities to reach out the users of the library. Social media became an attractive platform to exchange information, knowledge and skills of the library professionals and users also.

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This An experimental investigation is carried out with the aid of rotating twisted insert for heat exchanger applications for the heat transfer enhancement. This experimental investigation is for calculating tube side heat transfer factor friction coefficient, Reynolds water number for turbulent flow in circular tube fitted with rotating twisted insert. An experimental system consists of a pump, flow control valve to maintain determined flow volume, orifice meter is used to measure flow, pressure drop is determined along the test section and aperture plate with 2 U- tube manometers. Uses an SS304 material stainless steel tube with 40 mm I.D and 50 mm O.D and 1250 mm capacity.

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Gaming Industry is currently the most successful and emerging industries in the field of multimedia and mass-entertainment. It generates revenue more than movies and music industry combined. But in the recent times, there has been a trend to follow formulae-based softwares dispatched to masses for consumption, without considering the ‘innovation’ factor into consideration. In this paper in-depth discussion on this trend, the reason behind this trend, effect of this trend on developmental strategies of developers and long-term setbacks that most have been ignoring since it is rise; have been discussed. On the other side of this gaming industry, the audience for which these games are made - gamers, their method of usage of these products from personal to global level have been discussed in this paper. Technologically, past decade has seen some of the most amazing advances; but only few of the platforms have seen their application to their full potential. The reasons and developmental side of this, too, has been discussed in the forthcoming text. This paper finally aims to restructure the code-of-conduct using which the games are developed so that all the currently used platforms on which billions of people play games can enjoy the same benefits and features, irrespective of their machines.

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This project will present the design of a Flapping wing UAV which is inspired by various bird mechanisms and its action during flight. In this project, the real actions will be tried to convert into a perfect mechanism to get a stable flight maneuvering. The design will be made CATIA V5 with all the parameters according to the bird selected. And then the hexahedral mesh analysis had done and with the help of ANSYS- Fluent we had done CFD Analysis at a different angle of attack. To understand the working principle of ornithopters, various surveys were made on the natural flyers with flapping wings and their ability to produce lift and thrust. The crank mechanism is chosen to make the micro air vehicle (MAV) for spy work without being identified. This mechanism is one of the most complex ones, as its flow condition changes along with its wing motion. The mechanism is analyzed at two different speeds: 3 & 6 m/s. To analyze the aerodynamic characteristics, the lift and drag forces are measured at a different angle of attack using ANSYS software. The results are compared at various times with different working conditions to get the most suitable and reliable conditions. So copying from the flying behavior of it is possible to gain all the abilities like the bird. And then after the analysis, we can able to analyze the lift & drag forces over the wings.

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OCR technology is characterized as the well-suited technique to recognise, analyze and interpret all textual data present in images, pdf and scanned document files. The machine-readable textual data can be easily manipulated by different word-processors, eliminating the tedious job of retyping the text present in the image. OCR Software enables editing of text extracted from images and scanned documents. Alphabets that are drawn out, are assembled and rearranged adhering to the original sequence to generate exact copy of the textual data. The editable text can be manipulated by simply removing unwanted text or performing cut, copy and paste operations. This paper aims to discuss OCR technology and its mechanism including platform, design, proposed system, algorithm and applications in detail. It visualizes OCR technology as the next generation boon, extending its scope to different possible fields of computer technology. System design specifications along with proposed system have also been well discussed. The study deals with less known facts about OCR technology and its use in different fields.

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Automatic scene generation using text offers a unique multimedia approach to classic story telling and human computer interaction with 3D graphics. In this paper, we present a newly developed system that generates 3D scenes from natural language text input. Our system is intended to benefit non-graphics domain users and applications by providing advanced scene production through an automatic system. Scene descriptions are constructed in real-time using a method for depicting spatial relationships between different objects. The advantage of natural language editing interfaces is strongest when performing semantic operations at the sub-scene level acting on group of objects. We learn how to manipulate these sub-scenes by analyzing existing 3D scenes. We are parsing user’s natural language command and then transforming it into a semantic scene graph which is used to retrieve corresponding matching sub-scenes from the databases. We then augment this retrieved sub-scene by adding other objects from the text description. Finally, a new 3D scene is synthesized by aligning the augmented sub-scene with the user’s current scene, where new objects are spliced into the environment, possibly triggering appropriate adjustments to the existing scene arrangement.

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In this paper we report the development and assessment of a modern interactive humanoid robot interacting with human beings and engaging in human society. A human body like this offers an array of information that is nonverbal and helps one to interact effectively with the robot. To this purpose, a humanoid robot was developed, which speaks and gestures autonomously with humans. Interaction is accomplished through a wide variety of interactive behaviours developed using a visualization tool to explain the complex system developed. Through interactive behaviour is developed by cognitive tests and introduced with local recognition. The robot is used to research incarnated communications as a testbed. Our approach is to study the human robots interaction with body movements using a motion capture system that helps us describe the motions. We conducted experiments to equate body movements with mentally dependent subjective evaluation. The outcomes show the value of well- coordinated behaviours as well as the performance of the interactive behaviours developed, and implement a new analytical approach to human- robot interaction.

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This article aims to discuss the literature review on real estate Project Management. Managing the project in the real estate is very complex process. The real estate developers go through the numerous activities for the development of the simple project up to the Property management. Also, number of factors which are directly or indirectly responsible for the development process. Hence it is important to carry out the study to understand the process of real estate development and various factors affecting it. This paper includes the study of various real estate management research papers and to analyse the methods which respected authors used.

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I have given a brief information about How Delivery Drones Are Saving Lives of people of East Africa where I discussed about the Drone’s architecture, unique factors that influence their designs, speed, engineering challenges, functioning, mobile app connectivity and testing, assembly, takeoff and landing, features, design issues, unique design factors, delivery process, battery placement, Zipline - Changing the World, and lastly, Conclusions. Delivery through Drones are the futuristic approach towards changing lives of people and is a great step in making people’s lives easy.

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This work centers on the examination of phishing websites utilizing AI. Web develops quickly so sites turned into the fundamental focuses of gate crashers. Phishing costs Internet clients a ton of dollars for each year. This alludes to misusing shortcoming on the client side. A trespasser inserts noxious substance into a page with the end goal of theft of accreditation information and assets, downloading programming to permit a client to visit a malignant site, join or download a botnet and refused assistance to introduce, and even harm the guest framework. The noxious site pages are expanding and assaults are getting progressively modern of website pages are expanding. This work gives a structure to recognizing a noxious site page utilizing counterfeit neural system learning methods. Notwithstanding since the quantity the basic identification rate, it intends to discover which discriminative highlights are normal for the assault and diminish the bogus positive rate. There are two components bunches in the calculation, URL lexical and page content highlights. This work is continuing to, add some values to the field malware combat, mitigate some threats, and improve Performance by enhancing the detection rate. Machine Learning is efficient technique to detect phishing. This approach works efficiently in large dataset. Machine Learning based classifiers are efficient classifiers which achieved accuracy more than 99%. An advantage is for the user to make online payments securely.

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Environmental protection and energy conservations are the main concern of 21st century which has now accelerated the pace to plan and develop electric vehicle technology. The electric vehicles (EVs) offer a zero emission, new automobile industry establishment, and economic development, efficient and smart transportation system. This project having a foot controlled steering system to control the vehicle easily. It designed to suitable for any road conditions and to reduce the effort of a rider to drive skateboard easily. Currently the permanent magnet brushless direct current motors are the present choice of automobile industries and researchers because of its high power density, compact size, reliability, and noise free and minimum maintenance requirements. Initially thus the designing of the vehicle in CAD and CRE-O, and simulations models are done. Equipment and cost analysis are done. It deals with the fabrication of vehicle. This includes assembly of skateboard and electric hub motor drive and designing the controllers. Thus the final stage is to improve the design model of the e-board for off road conditions and suitable.

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Extraordinary large datasets of high performance computing applications require improvement in existing storage and retrieval mechanisms. Moreover, enlargement of the gap between processing and I/O operations’ throughput will bound the system performance to storage and retrieval operations and remarkably reduce the general performance of high performance computing clusters. File replication may be a thanks to improve the performance of I/O operations and increase network utilization by storing several copies of each file. Furthermore, this will lead to a more reliable and fault- tolerant storage cluster. In order to improve the response time of I/O operations, we have proposed a mechanism that estimates the required number of replicas for each file based on its popularity. Besides that, the remaining space of storage cluster is taken into account within the evaluation of replication factors and therefore the number of replicas is tailored to the storage state. We have implemented the proposed mechanism using HDFS and evaluated it using Map Reduce framework. Evaluation results prove its capability to enhance the reaction time of read operations and increase network utilization. Consequently, this mechanism reduces the general reaction time of read operations by considering files’ popularity in replication process and adapts the replication factor to the cluster state.

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To make precast construction industry more reliable and environmental friendly it must need to adapt new requirements. The main way of reducing the construction industry environmental impact is recycling concrete waste to produce new concrete or to use it in road construction as sub-base. Generally Precast concrete has more strength than the regular conventional concrete, it ranges between 50Mpa to 80Mpa. So it is more useful for recycling due to its high strength. In the prestressed precast concrete industry some of the concrete elements produced are rejected due to quality test failures. This paper describes the process of recycling of precast concrete wastage. Various types of precast concrete wastage also discussed in this paper. The specific purpose was to measure the waste, rejected prestressed precast material of Precast India Infrastructures Private Limited, Pune and give them possible ideas to recycle the wastage material and make some profit from waste.

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In this age of digitization and automation, human life is getting simpler because almost everything is getting automated, replacing the old manual systems. For developing nations like India, the consumption of electricity is higher. Also, many people forget to switch off the lights when not in use, this led to wastage of electricity in huge amounts. This paper describes a low cost and scalable framework for home control and monitoring the environment. It employs an inbuilt micro-web server in the NODE MCU(ESP8266), with remote access to and control of devices and appliances via IP address connectivity. These devices can be operated through a web application or an Adafruit app based on Wi-Fi or via voice control (like Google assistance). So it will become easy and comfortable for humans to control the appliances from wherever in the world and switch off the lights if they forget to do so and saves electricity.

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Soil stabilization is a process of improving the physical properties of soil such as shear strength, bearing capacity. soil stabilization is also help in reducing permeability and settlement of the soil which is important factor to consider while construction of any structure. ultimately, the load of the structure is transfer to the soil. Bearing capacity of the soil is the most important factor to be consider while design the structure. Soil can be stabilized by mechanical method and/or chemical method. There are many chemical agents are available to stabilized soil like fly ash, lime, cement which improve the bearing capacity of soil but also increase the cost of the project. The new technique to improve the bearing capacity of the soil by using plastic as a soil stabilizer in economical way with the help of sand. Sand is act as inert filler. Sand and plastic help to achieve the bearing capacity of soil. Plastic is materials which cause almost every type of pollution which harm the environment. Plastic is a serious problem by which the whole is suffering. Plastic is a material which can improve the engineering properties of the soil. This is a new technique to control the pollution caused by the plastic and improve the bearing capacity of the soil in economical way. Soil stabilization can be utilized on roadways, bridges, airports where subsoil are not suitable for construction.

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Human Resources Management (HRM) has become one among the essential interests of managers and decision makers in most sorts of businesses to adopt plans for properly discovering highly qualified employees. Accordingly, managements become interested about the performance of those employees. Especially to make sure the acceptable person allocated to the convenient job at the proper time. From here, the interest of knowledge mining (DM) role has been growing that its objective is that the discovery of knowledge from huge amounts of data. Three main DM techniques were used for building the classification model and identifying the foremost effective factors that positively affect the performance. to urge a highly accurate model, several experiments were executed supported the previous techniques that are implemented in WEKA tool for enabling decision makers and human resources professionals to means and enhance the performance of their employees. We are using Hadoop tools for the handling of giant amount of knowledge with which may be assured which will positively affect the performance.

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Diabetic Retinopathy (DR) is one of the most important causes for the presence of blindness in the recent days. Ophthalmologists need to diagnose the presence and severity of DR using the visual assessment of the retinal fundus images by manual examination. This process of manual diagnosis of DR is a very hectic and time consuming task. Due to the increasing rate of diabetic retinopathy patients in the world, the number of color fundus images generated has increased rapidly. Because of this large number, there is a huge delay in diagnosing the early symptoms of DR and providing timely good treatment. Therefore, to address this issue, there is a need to develop an automated framework of Diabetic Retinopathy diagnosis. Hence, in this analysis we have proposed a Deep framework for DR diagnosis. The analysis uses a modified version of standard Convolutional Neural Network (CNN) for solving DR fundus image classification problems. The proposed analysis efficiently reports whether the person has DR or not and if present, and indicates the severity of the disease. The analysis implemented helps in giving timely treatment to the patients irrespective of geographical and economic constraints.

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Many child deaths are reported in the past due to bore well accidents. During bore well accident an immediate rescue operation is required and it is quiet challenging to perform a rescue operation as the environment inside the bore well is highly unpredictable. Developing low cost robotic system and simple control will help rural people use it easily. In this paper, we propose a novel design of rescue robot which would enlarge as per the diameter of bore well and attach to the bore-well by adjusting to the diameter while travelling up or down the bore-well. It would contain two artificial arms, which would help in holding the baby with the visual help offered by camera and also aid in the survival of the child.

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In this paper, Author studies about the mechanical properties like Tensile strength, yield stress and elongation for different steels such as low carbon steel and mild steel and various heat treatments to find out the effect of annealing, quenching and normalizing on material properties through testing on using Universal Testing Machine UTM. Low carbon steel is easily available and cheap having all material properties that are acceptable for many applications. Heat treatment on low carbon steel is to improve ductility, to improve toughness, strength, hardness and tensile strength and to relive internal stress developed in the material. Effect of various types of heat treatment on fracture toughness and hardness is also analyzed. Optimum heat treatment strategy for commercial steel appears to be tempering in the 900ºC temperature range, to get the best combination of high toughness and high hardness. After that heat treated samples are used for testing of different material properties. Result shows which heat treatment will be better for improving material properties of mild steel.

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Recently face recognition is attracting much attention in the society of network multimedia information access. Areas such as network security, con- tent indexing and retrieval, and video compression benefits from face recognition technology because "people" are the center of attention in a lot of video. Network access control via face recognition not only makes hackers virtually impossible to steal ones "password", but also increases the user-friendliness in human-computer interaction. Indexing and/or retrieving video data based on the appearances of particular persons will be use- ful for users such as news reporters, political scientists, and moviegoers. For the applications of videophone and teleconferencing, the assistance of face recognition also provides a more efficient coding scheme. In this paper, we give an introductory course of this new information processing technology. The paper shows the readers the generic framework for the face recognition system, and the variants that are frequently encountered by the face recognizer. Several famous face recognition algorithms, such as Eigenfaces and neural networks, will also be explained.

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Several trillion cigarettes are produced worldwide annually, resulting in tonnes of cigarette butt waste. Billions of cigarette butts (CBs) were discarded by smokers directly into the environment. It is known that CBs are one of the environmental pollution. Cigarette butts accumulate in the environment due to the poor biodegradability of the cellulose acetate filters that could cause contamination on the street, sidewalks, waterways, beaches and public areas. Due to its small size but large in volume, CBs cannot be collected easily and most of it will be disposed directly to the landfill. Moreover, there is no easy mechanism to ensure the separation of the chemicals trap inside the CBs which is toxic to the environment Results from a study on recycling cigarette butts into fired clay bricks are presented. In this study, different percentages of CBs (0%, 2.5% and 5.0%) were incorporated into fired clay brick. The physico-mechanical properties of manufactured bricks including compressive strength, flexural strength, density, water absorption and thermal conductivity are discussed. The compressive strength of bricks decreased according to the percentage of cigarette butts included in the mix. The results also show that the mixing time has a considerable effect on the properties of the fired clay bricks tested. It was concluded that cigarette butts can be regarded as a potential addition to the raw materials used in the manufacture of lightweight fired bricks and, furthermore, that recycling cigarette butts in bricks is a very practical and potentially significant contribution in terms of a sustainable solution to one of the serious environmental pollution problems in the world.

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The impact of cost and time overruns on construction projects is an undesirable experience both to the clients and stakeholders in the industry. This has regularly led to dispute, unfriendly working relationship, abandonment, low quality and environmental nuisances. This paper evaluated factors contributing to overruns of highway projects and their impact on projects performance at Tamil Nadu in India. It involved a cross questionnaire administered to sixty four found seven major factors influencing time delay and cost overruns in highway construction projects. Data were collected through questionnaire administration on professionals in the industry. Frequency index were employed to analyse data collected. Increase in material cost, inaccurate materials estimation and underestimating of project costs among others are the most significant cost factors while the most significant time factors include unexpected site condition, increase in project scope, lack of timely progress payment and inadequate planning.

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In order, to explore the applicability of natural fibre agave sisalana used in fixed aerated beds, the effect of natural fibre on domestic wastewater was studied through the analysis of the improvement of its physical, chemical parameters. The different detention periods proportion was carried out by indoor test simulation. The results clearly demonstrated that natural fibrous material could improve the removal efficiency of different parameters effectively. Researchers have found some positive result with this material. Further research is needed to make this satisfactory replacement of sand filters which will lead to a sustainable increase in removal efficiency of parameters using natural fibrous material.

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Buildings are recognized as some of the biggest buyers and pollutants in the world. However, the design context, in the context of its modern definition, as illustrated in this paper, is not so much based on initial requests to reduce negative environmental pressure, but rather to ensure local continuity of service provision. Finally, ecology has evolved into a framework encompassing a variety of strategies and measures aimed at reducing the negative impact of the natural environment by adapting to the requirements of standard design and value. By linking resource efficiency with the reduction of environmental impact, this paper reviews existing approaches and challenges in energy, utilities, water and land, and proposes future practical scenarios where broader socio-economic systems can be critical to effective environmental outcomes. Design and production of new products and materials should be based on the concept of life cycle testing. The LCA is also a prerequisite for eco-labelling requested by consumers, NGO’s and national and international authorities. LCA is not only an environmental development tool, but also an industry tool that means cost savings and competitive advantages.

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Pesticide industries produces high TDS streams during course of its manufacturing operations which cannot be treated by conventional treatment process. The industry has to treat high TDS waste water with dissolved solid in range of 10-13%. Treatment of high TDS streams is conventionally done through reverse osmosis or multiple effect evaporators. Reverse Osmosis is comparatively cheaper in treatment cost but it has limitation of inlet feed TDS concentration. Reverse Osmosis cannot treat TDS more than 3-4%, with recover of 50-60%. Multiple Effect evaporator is alternative technology which treat high TDS waste water, but it has very high capital and operation cost. The company has challenge to optimize the cost of waste water treatment, which finally contributes to cost price of product. Higher treatment cost increase cost price of product and reduce margin and profitability. Membrane distillation is an emerging technology for treatment of high TDS effluent streams and recovery of good quality water for reuse in manufacturing process [6]. MD is a non-isothermal membrane separation process, in which the water vapour molecules are transferred through a microporous hydrophobic membrane. MD is a environment friendly process [7]. Driving force is the partial pressure difference across the membrane that is created by the temperature difference between the two sides of the membrane. In MD we can get better result by using nanofiber membranes for distillation [10]. This is an attractive alternative solution for effluent treatment, giving high quality distillate and the possibility of operating at low temperatures [5]. Some multinational industries in India are using membrane distillation process for better result [4]. Compared to other membrane separation processes, MD operates at low pressures, lower than the pressures of the reverse osmosis (RO). Moreover, the capability of utilizing solar thermal energy or waste heat from other processes makes MD an energy and cost-efficient and environmental friendly process.

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