A reinforced concrete slab is one of the most important components in a building. Geometry of a reinforced framed building plays an important role in its structural behavior under lateral loads. The objective of the present study is to perform the critical study of three RCC framed buildings, to perform the parametric and comparative analysis of structure for rigid and flexible condition. A total of 18 number of RCC framed structure with different number of floors has been considered for this study. The material has been kept constant for all the cases. Percentage of steel in columns, area of steel in columns and section of the columns has been compared. Maximum deflection, support reaction, bending moments, shear forces for both rigid and flexible slab for all the cases has been also calculated for lateral loads as per IS 4998-1: 1992 , IS 1893: 2002 & IS 4928: 1993 using STAAD.Pro V8i software. Parametric study has been performed for zones III, IV&V and different structural parameters.

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This paper work is devoted for the design and simulation of Single-Precision Floating Point Multiplier for signed and unsigned numbers using DADDA architecture. The multiplication operation is present in most parts of a digital system or digital computer, most notably in signal processing, graphics and scientific computation. With advances in technology, several techniques have been proposed to design multipliers, which offer high speed, low power consumption and requires lesser area. Thus making them suitable for various high speeds, low power compact VLSI implementations. The Design employs Combination of different adders and fast Compressors. The Carry Save Compressors (CSC) tree and the final Carry Propagate adder (CLA) chain is used to speed up the multiplier operation. Since signed and unsigned multiplication operation is performed by the same multiplier unit the required hardware and the chip area reduces and this in turn reduces power dissipation and cost of a system. Verilog coding of multiplier for signed and unsigned numbers using DADDA Algorithm for 32X32 bit multiplication following the Standard IEEE Format and their FPGA implementation by Xilinx Synthesis Tool on Spartan 6 kit have been done. The output has been displayed on LED of Spartan 6 kit. The multiplier structure is also designed in Cadence Software with 180nm technology.

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Plastic is a non-bio-degradable substance which takes thousands of years to decompose that creates land as well as water pollution to the environment. It is estimated that the rate of usage is double for every 10 years. The Plastic usage is large in consumption and one of the largest plastic wastes is polyethylene (PE). The utilization of earth based clay material resulted in resource depletion and environmental degradation. As amount of clay required for brick is huge, in this project these waste plastics are effectively utilized in order to reduce the land space required to dump these wastes. Polyethylene (PE) bags are cleaned and added with fine aggregate ,Fly ash, Bagasse, GGBS, Quarry Dust at various ratios to obtain high strength bricks that possess thermal and sound insulate ion properties. Presently waste plastics are effectively converted into useful building materials like bricks, using either single origin plastic waste material or a mixture of different plastic wastes. The plastic waste is naturally available in surplus quantity and hence the cost factor comes down. Also Coloring agents can be added to the mixture to attain desired shades. After conducting several trials with the variety of industrial wastes processed into composite brick.

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This paper presents the simulation and evaluation of design and simulation of improved high gain chopper by using switched double inductor components under MATLAB/Simulink software. This paper introduces a boost converter with high dc gain to increase the low output voltage of photovoltaic (PV) module. The inductor of the conventional boost converter is replaced with the switched inductor branch. As a result, the conversion gain ratio of the boost converter can be increased. Simulation results and analyses are provided to evaluate the operation of the converter.

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The project aims at the development of a system which is capable of transmitting the patient's medical parameters like heart rate, temperature and oxygen availability in cylinder wirelessly using controller LPC2148, heart rate sensor, temperature sensor and pressure sensor respectively to the doctor's section and announces the parameters when requested by the doctor along with a display system. Also, this system provides the mechanism of prescribing the medicine to patients in case of emergencies. This helps in decreasing the death rate by acting immediately.

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A vending machine is a machine which provides various items like chock let, chips ,snacks, milk product, snacks, beverages, lottery tickets, consumer products and even gold and gems to customers automatically whenever the customer inserts coin into the machine. Vending machines are very common in most of the countries. In INDIA like Haldiram vending machine is going to be popular. As the world is switch into automation the requirement of vending machine also increases. The FPGA based vending machine is reprogrammed whereas the Embedded based machines needs to change to change the architecture. In this paper of vending machine using Finite State Machine (FSM) Model is proposed with the help of Arduino and GSM module. The sensor used here is temperature. The automatic notification is given to the concern person. The notification gives the real time product dispatch details. VHDL based FSM modelling is the most important part in developing vending machine model as this reduces the required hardware.

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The feasibility of an integrated continuous biphasic oxidation process was studied, incorporating (i) electrochemical generation of an oxidant, (ii) membrane emulsification and an Oscillatory Flow Reactor (OFR) to facilitate mass-transfer in a biphasic reaction system and (iii) product extraction to enable regeneration of the oxidant. The biphasic, organic solvent-free dihydroxylation of styrene by ammonium peroxodisulfate solutions (including electrochemically generated peroxodisulfate) was investigated as a model reaction, both in batch and in an OFR. Heating of peroxodisulfate in a strongly acidic solution was demonstrated to be essential to generate the active oxidant (Caro’s acid). Membrane emulsification allowed mass-transfer limitations to be overcome, reducing the time scale of styrene oxidation from several hours in a conventional stirred tank reactor to less than 50 min in a dispersion cell. The influence of droplet size on overall reaction rate in emulsions was studied in detail using fast image capturing technology. Generation of unstable emulsions was also demonstrated during the oxidation in OFR and product yields >70% were obtained. However, the high-frequency/high-displacement oscillations necessary for generation of fine droplets violated the plug flow regime. Membrane emulsification was successfully integrated with the OFR to perform biphasic oxidations.

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World over the markets has opened up to immense possibilities that augmented reality devices holds, their applications span across the industries and already there is a lot of buzz happening around the world. And within few years the way we interact with the technology is about to change forever. In this project we are trying to solve the problems faced by the architects due to visualization right from the idea stage to implementation since what an architect thinks, a builder builds and a customer imagines are completely different views of the same project, for this we are using our own Random GPS Position Locking Algorithm using augmented reality to developing an application through which they would be able to see their projects at actual site in real world.

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Handwriting Analysis or Graphology is a scientific method of producing a personality profile of the writer by examining the characteristic traits by identifying, evaluating the strokes and patterns of the handwriting. Handwriting reveals the true personality including emotional outlay, fears, honesty, defences and many others. Professional handwriting examiners are known as graphologists, they predict the personality of a writer by just examining even a short piece of hand writing. Accuracy of handwriting analysis depends on skills of the graphologists, a skilled graphologists would come at a greater cost and human intervention in handwriting analysis is prone to fatigue, although it’s effective. Hence the proposed methodology focuses on developing a tool for behavioral analysis which can predict the personality traits automatically with the aid of a computer without the human intervention. In this paper a method has been proposed to predict the personality of a person from the baseline, the pen pressure and strokes by examining the numbers ‘0’, ‘1’, ‘2’, ‘3’, ‘4’, ‘5, ‘6’, ‘7’, ‘8’, ‘9’and the letters ‘s’, ‘u’, ’d’, ’o’, ’y’, ’t’, ’b’, ‘p’ through an individual‘s handwriting. These parameters are the inputs to the Artificial Neural Network which outputs the personality trait of the writer. The performance is measured by examining multiple samples.

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In this paper we've got to notice the strain supported social interaction exploitation media like Facebook, twitter etc. We have a tendency to discover to manually notice individuals' psychological stress via social media. Using actual on-line micro-blog knowledge, we have a tendency to 1st examine the correlation between users' stress and their cheeping content, social engagement and behavior patterns. In social Psychological stress is threatening people's health. It's non-trivial to sight stress timely for proactive care. With the recognition of social media, individuals sharing their daily work and interacting with friends on social media platforms, creating it doable to leverage on-line social network data for stress detection. throughout this paper, we have a tendency to discover that users stress state is closely associated with that of his/her friends in social media, which we have a tendency to use a large-scale dataset from real-world social platforms to systematically study the correlation of users' stress states and social interactions. We've got a bent to first outline a group of stress-related matter, visual, and social attributes from varied aspects, then propose a totally distinctive hybrid model - and issue graph model combined with Convolutional Neural Network to leverage tweet content and social interaction knowledge for stress detection. We've got a bent to boot discover many intriguing phenomena, i.e. the number of social structures of distributed connections (i.e. with no delta connections) of stressed users is around 14 % over that of non-stressed users, indicating that the social structure of stressed users' friends tend to be less connected and fewer troublesome than that of non-stressed users.

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Cloud computing is rising as a powerful computing tool. The security aspect plays crucial role in cloud, as the decision of shifting to cloud from customer's perspective mainly depends upon privacy of the data and the other benefits they would attain by shifting on cloud storage. The overall emphasis of this project is to conquer security issues in the existing system. We propose a secure cloud-based storage system that stores the data in the cloud efficiently by storing it on multiple cloud instead of storing it on single cloud. It enhances the security of data stored on the cloud.

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This paper presentation explores the working principle contactless braking system with eddy current. Conventional braking system uses friction to slow down the revolving object. Stopping is mainly on the basis of contact surface that were designed. In conventional braking system, the energy given to operate the brake is enormous. This will leads to change the brake liner frequently. For this issue we are in the move to contactless braking system. In friction brakes, which apply pressure on two separate pressure plates, eddy current brakes reduces the speed of an object by creating eddy currents through electromagnetic induction which create resistance, and in turn either heat or electricity. In this paper, linear magnetized mover is applied to eddy current braking system for high speed.

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In recent years natural fibers appear to be the outstanding materials which come as the viable and abundant substitute for the expensive and non-renewable synthetic fiber. The advantage of natural fibers is their continuous supply, easy and safe handling, and biodegradable nature. The objective of the present work is to explore the potential of using PINEAPPLE LEAF FIBER as reinforcement and investigate the effect of fiber length on mechanical properties of PALF reinforced polypropylene Resin composite.

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The crude oil which contain high amount of sulphur proves to be deteriorative for our environment, hence desulfurization of crude oil is imperative. Since the 17th century industrialization the use of crude oil has grown exponentially and hence the amount of oxides of sulphur in the atmosphere, which can proves to be catastrophic as far as the health of our planet is concerned. Therefore, in this study a method for the removal of sulphur from sour crude oil using ultrasound-assisted oxidative process has been proposed. This method is actually a combination of oxidation and applying ultrasonic waves to achieve very low sulphur content of crude oil.

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This paper contains the study of optimization of hydraulic torque wrench. The hydraulic torque wrenches are designed to handle the toughest bolting jobs accurately and quickly. In this paper solution for reducing the cost of the tool has been proposed. All models provide a torque accuracy of +/3%.The study was done on square drive hydraulic torque wrench. First designing of the wrench was carried out and then the analysis. The material of the tool is Aluminum alloy T6-7075 and EN-24 for its strength and low cost. Considering the results obtained from the analysis various parts of the wrench where the stresses induced are less compared to others the part is modified and iterated until satisfactory results were achieved. This process helps in finding the optimized design for the hydraulic torque wrench without any failure and with minimum forces acting on the tool.

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In today's world vehicle accident is the major problem. To avoid this we developed a self-made pneumatic air breaking system in our innovative project. Our system is a manually controlled system known as "Self-made pneumatic-air braking system". This system is used in four wheeler vehicle & heavy vehicles. This system consists of two mechanisms i.e self-made air compressor system and pneumatic braking system. Automatic braking system use the infrared sensor (IR), which is used to sense the vehicle coming from front of our vehicle and which is responsible for accident. Then sensor sends feedback signal to engine through the relay control to stop the working of engine. During the working of Automatic braking system simultaneously the driver also try to stop the vehicle by applying brake pedal. Limit switch is placed below the brake pedal which activates the pneumatic braking system and brake to reduce the damage to vehicle which occurs in accidents. This system provide pre-crash safety to the vehicle. As well as it improves the response time of vehicle braking to keep safe distance between the vehicles. By using this system we can obtain control over the speed of vehicle in short distance. Also we used here very low cost equipments in order to make our cost friendly.

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Medical image segmentation is the most popular research area nowadays. In the existing system, the pancreas segmentation has been performed using the superpixel concepts. The proposed system segments the pancreas from the abdomen CT scan images with the new set of algorithms. This system uses the macro super-pixels for fast and deep labeling, segmentation process and proposes an automated bottom-up approach for pancreas segmentation in abdominal computed tomography (CT) scans. The earlier work on organ segmentation achieved only low accuracies when comparing to organs like the heart, liver, pancreas, etc. In this proposed system a complete self-learning deep analysis method is presented for pancreas segmentation. This utilizes the abdominal computed tomography (CT) scans as input. The method developed a segmentation technique by sorting image patches at different resolutions and cascading macro super-pixels. Macro superpixel segmentation, grouping both strength and likelihood features to form observed statistics in pouring random forest frameworks. At last effortless connectivity based post-processing were done. The proposed system utilizes some histogram and texture features. The method generates dynamic cascaded and macro super-pixel segmentation. For Fast organ detection SIFT (Scalable Invariant Feature Transform) algorithm is proposed. This algorithm helps to detect the descriptors from the image for fast image segmentation. This system used some CT scan images and developed segmentation algorithm using Matlab. The organ from the CT images can be segmented quickly and finally the classification task is performed over the segmented pancreas to categorize it. The classification task finds the organ into two classes such as affected or healthy pancreas.

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In this paper, a microcontroller based system is developed for the parallel operation of alternators as per the load variation. Two alternators are connected in parallel automatically with the developed circuitary. The voltage, frequency, and phase sequence of incoming alternator is compared with reference alternator with the help of PIC. The system does not require additional measuring tools for monitoring and control process. The developed automatic synchronization unit is fast, reliable, does not required skilled operator. This paper work is made to overcome drawbacks of manually operating and time consuming synchronization methods.

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In Any institution\college or public places like bus stations, railway stations, parks & theatres. Notice board is a mandatory to all for displaying information. But display various notices using papers in day to day life is unnecessary wastage of papers and human time & separate person cannot take care of this notices. So, this project deals with notice board which we can be remotely controlled by an android application using raspberry pi. The main goal of this project is to develop an android application through which one will be able to display the notices on the display unit along with the text and images and parallel the devices on the client mode will also be able to get those notices on their devices such as mobile phones or tablets with the help of the same android application without any effort.

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Over the past few decades the network based system has grown at an explosive rate with innovations in communication and information technologies. While the computer network and their related applications brought the world together by bridging the information gap among people, it has also made it easier to leads unauthorized activity not only from external attackers but also from internal attackers, such as disgruntled employees and people abusing their privileges for personal gain. The precious information is always prone to maximum attacks over the network. Intrusion may occur due to system vulnerabilities or security breaches, such as system misconfiguration, user misuse or program defects. Attackers can also combine multiple security vulnerabilities into an intelligent intrusion. Therefore an efficient intrusion detection model is needed to defence the network system. However, in this context a number of researchers have proposed their different approaches but each of them faces their own limitation, most of the common problem is that they are unable to detect the emerging attacks. In this paper we investigate the recent trends of security techniques for the task of detecting intrusion in network, which may help to the researchers to understand and builds an enhanced technique for network intrusion detection.

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With the fast growing technology and new inventions in science to make life easy for humans; this paper introduces a method to gather the information about the present situation of a crop field from a remote place. The information providing device consists of an automatic tracking solar panel, a microcontroller, sensors, battery and Wi-Fi module. A mobile camera is set up in the field to obtain the visual information about the field.

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Many systems use servers to manage and store their data, sometimes the servers are slowed down because of multiple user requests. Most of which are attackers or unauthorized users and some are genuine users. In computing, a denial-of- service (DoS) attack is an attempt to make a machine or network resource unavailable to its intended users. A distributed denial-of-service (DDoS) is where the attack source is more than one, often thousands of unique IP addresses. Flooding is one of the typical DDoS attacks that exploit normal TCP connections between a client and a target web server. In this project we are trying to devise a DDoS anomaly detection method on Hadoop that implements a MapReduce-based detection algorithm against the Flooding attacks.

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An experimental investigation into cold shut formation in, castings has been carried out. Results indicate that cold shuts are formed when liquid metal. Overflowing solid metal, does not completely remelt the solid. As the occurrence of the defect depends upon the thermal energy of the liquid, effective superheat -superheat at which the liquid meets the solid metal is the most important variable affecting the co Id shut formation. This superheat is controlled by both the pouring rate and the superheat at pouring. This paper represents the defect reduction by controlling alloy composition and pouring temperature. The seven quality control methodology is used to analyze and reduce defects which includes check sheet, pare to analysis, cause effect diagram, flow chart, scatter diagram, histogram and control chart.

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Open education resources (OERs) are public domain learning objects used extensively in both online and traditional education settings. To facilitate the use of OERs, a novel chemistry-inspired framework links learning objects to help the education community contribute, augment, and locate these valuable resources.

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Credit risk value spectrum sharing is a promising technology for improving the spectrum utilization. Cognitive radio is used for calculating the wireless communications in the networks. Spectrum regulatory committees in many countries have been taking steps to wireless networks in open the door to spectrum access by using this technology and also laying down the rules for its implementation. International organizations have been used for the standardizing and harmonization in this technology for wireless communications. In this project, we study how secondary users can share the spectrum in a distributed fashion based on social imitations. Cognitive radio in wireless communication technology it designed to help unlicensed users and licensed user to improve the time and performance in maximum available licensed and unlicensed bandwidth. We propose an offloading and computing technology to save the data without time delay and its help to detect more than one node. This improves the network performance, time, throughput, energy and efficient in the wireless network. Two techniques namely used are reputation based technique and credit based technique used to detect nodes in network.

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