The main objective of the study was to investigate the importance of inter-locked brick infill in multi-storied buildings it uses masonry panels made of dry stack interlocking masonry units capable of relative sliding in plane and interlocked to prevent sliding out-of-plane. The major objective of the system is to improve the earthquake performance of framed structures with masonry panels acting as energy dissipation devices (EDD). An analytical program conducted to evaluate the behavior of different framed masonry panels. It was found that semi-interlocked masonry (SIM) panels have significant energy dissipation capacity due to friction between the masonry units. This paper presents the results of a numerical simulation of earthquake vibrations on a multi-storey reinforced concrete frame with different infills namely SIM & URM panel.

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Increase in the need of petroleum products results a remarkable rise in prices. Therefore require to discover alternative cheaper sources for fulfillment of worldwide demand. Here main objective is to develop easier techniques by using cheaper source for the production so that the common people can also produce it by themselves. For this purpose fruit wastes were taken as a substrate for the ethanol production with use of microorganism Saccharomyces cerevisiae also added. The results indicates that the ethanol production rate through fermentation of fruit waste yields is optimal at pH 5.5, temperature 32°C, specific gravity 0.865, conc. of about 6.21%. After distilling the product, higher concentration of ethanol can be obtained. It is a clean and good for the environment because releases no toxic gases, and not harmful to human health too. The waste materials after the fermentation can be used as a soil fertilizer. The results of this study shows that wastes fruits not be discarded into our environment because they contains fermentable sugar. These can be converted into bioethanol that can use as an alternative energy source.

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For high and medium electric power/voltage applications with the quality power, the multilevel inverters have become more popular. In this research paper for power quality improvement a new topology is proposed called Six Switch Cascaded Transformer (SSCT). The validity and performance of proposed topology is compared with H-Bride Cascaded Transformer (HBCT). The simulation results show that the proposed SSCT multilevel inverter with filter gives low Total Harmonic Distortion (THD) over the HBCT multilevel inverter with filter. The THD generated by SSCT is 2.28% but at other hand, the HBCT generates THD of 22.86%.

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Nowdays, businesses are evolving. For having business people needs to deal with much amount of data and this data needs to be delicate and confidential. So, to secure and preserve our data there are plenty of technologies used one of them is Data Mining. Data Mining is the technique in which it tries to find out interesting patterns or knowledge from database such as association or correlation etc. Frequent Itemset Mining is the vital problem in data mining. The frequent can contains valuable and research purpose. Frequent itemsets are items or patterns like itemset, substructures or subsequences that occurs frequently in transaction. There are many Frequent Itemset Mining Algorithms to find out frequent itemset used such as Apriori, FP-growth, Elcat. But this all only consider frequent itemset don’t consider useful or high utility itemset from large transaction. For, Privacy and security purpose here use differentially Utility Itemset Mining using transaction splitting and Utility Pattern Growth algorithm. It consists of two phase that are preprocessing phase and mining phase. In preprocessing phase, to boost the value of utility and privacy advance smart splitting method is used to transform database. Preprocessing phase is performed only once in given database, Mining phase, execute runtime estimation and dynamic reduction. To sustain information loss by smart splitting, it used runtime estimation which estimates actual support of itemsets from original database. For privacy preservation, here added noise in the database to reduce the noise it apply forward dynamic method. For mining high utility itemset and privacy preservation proposed new algorithm called Utility Pattern Growth.

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This paper describes utilization of foundry sand, a waste material, which causes environmental problems due to its disposal. Foundry sand consists primarily of silica sand, coated with a thin film of burnt carbon and residual binder. If foundry sand can be used as a construction material by partially substituting for fine aggregates, it can help to address its disposal issues and enhance fine aggregate sustainability. Foundry sand can be used in concrete to improve its strength and other durability factors. Fine aggregate, was partially replaced by foundry sand in M-20 concrete and found that the compressive strength decreases with increase in foundry sand up to 20% of replacement and there after increases with the least value obtained nearly equal to the desired minimum compressive strength for M-20 concrete. The split tensile strength increases with increase in percentage of foundry sand replacing fine aggregates.

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The image analysis is the technique of image processing which helps to analyze various properties of the input image. In the recent times various application of the image analysis comes into existence. The current detection is the application of image analysis which is used to define that whether currency is fake or genuine. In the recent times various algorithms has been proposed which is based on SIFT algorithm to analyze external features of input currency. In the existing algorithm only external features are analyzed which reduced accuracy of detection. In this work, new technique is been proposed which is based on to analyze internal features of the image for the detection. The internal features of the image are strip values of the currency. The simulation is been performed in MATLAB and it is been analyzed that accuracy of detection is increased up to 10 percent and fault detection rate is reduced up to 8 percent.

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Concrete can be considered as the most widely used in the construction industry. Concrete is a composite material made up of cement, sand, water and sometimes admixtures. Cement is the most active component and the use of large quantities of cement results in increasing CO2 emissions and as a consequence of the greenhouse effect. On the other hand continuous use of natural aggregates causes environmental problems and it is also necessary to preserve the natural sources. The use of sustainable technologies such as supplementary materials is expected to positively affect the performance of concrete mixtures. Self-compacting concrete (SCC) is an innovative development of conventional concrete, which can be placed and compacted under its self-weight with little or no vibration effort. This paper present the Mechanical properties of self-compacting concrete using cementitious materials as a partial replacement of Artificial aggregate as natural aggregate having fineness modulus 2.7; Coarse aggregate of size 12mm. SCC containing different proportion of these mineral admixtures has been tested for slump flow, V-funnel, L-box, U-box and J-ring and found that the values are within the limits prescribed by EFNARC, 2002 method. The properties reported in this paper are the workability properties, Mechanical properties and Durability Properties. The Workability properties were investigated by Slump flow (filling ability), V-Funnel (filling ability) and L-Box test (passing ability). The Mechanical properties were tested for Compressive strength, Splitting Tensile strength and Flexural strength of 14 days, 28 days and 56 days were obtained.

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Speech Emotion Recognition is a recent research topic in the field of Human Computer Interaction. The objective of this paper is to use Support Vector Machine (SVM) classifier to classify seven different emotions happiness, anger, sadness, boredom, disgust, neutral, fear. The explored features include: pitch, mel-frequency spectrum coefficients (MFCC), Spectro -temporal features, formants and energy measurements. In this paper we use two different kernel: Linear (Homogeneous), Gaussian radial basis function kernel to get higher accuracy for emotion recognition in speech .Performance analysis is done by using the confusion matrix and the accuracy obtained is 95% on the basis of data set. Finally results for different combination of the features and on different databases are compared and we get SVM recognition accuracy is more than other algorithm.

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In Optical fiber communication, several types of impairment may be introduced to the signal. These impairments result in degradation in system performance. e. g high bit error rate and power penalty. This paper work deals with effect of four-wave -mixing (FWM) that degrades the long distance communication in fiber optical communication. Due to the FWM, crosstalk occurs in WDM systems which reduces the quality of the transmission and extra amount of power is required to overcome the effect of FWM. In this paper the four wave mixing is reduced by using continuous phase frequency shift keying (CPFSK). The effect of chromatic dispersion, channel spacing, channel count and input power on FWM is observed by changing the one parameter keeping the other constant and the simulation results obtained are compared with the standard IMDD .It has been seen the CPFSK is better alternative than standard IMDD when FWM is considered. The work is implemented in Optsystem software.

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Predictive asset analytics solutions help grid operators, systems engineers, controllers, and many other plant personnel to take advantage of the massive amounts of data available today and use it to make real-time decisions that have a significantly positive impact on reliability and performance. Advanced pattern recognition software provides early warning detection and diagnosis of equipment problems to help personnel work more effectively by providing early warning notification and allowing more lead time to plan necessary maintenance, ultimately avoiding potential equipment failure and improving performance. Power generation and delivery utilities can transform their maintenance strategies by leveraging data and predictive asset analytics solutions to spend less time looking for potential issues and more time taking actions to get the most out of every single asset.

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As population is burgeoning, an increase in the number of vehicles on the road and hence an upsurge in the problems associated with traffic management, especially the Public Transport. There is also an increase in the number of accidents and various other traffic related issues. Intelligent Transportation System (ITS) provides the solution to most of these problems by integrating existing technologies with the underlying infrastructure. With the advent of mobile technology and the ubiquitous cellular network, real time vehicle tracking for efficient transport management has become viable. The futile long wait for a bus to arrive can be avoided by Intelligent Public Transportation System. The parveding of Smart Phones and their ever increasing power at a very economical price makes them one of the most attractive options for developing IOT applications. Here, an approach based on the combination of technologies like GPS and Android is discussed which can assuage passengers who commute by the means of about the current location of nearest buses approaching the bus-stop on a mobile application. Using readily available Android API’s, technologies like 3G network and SMS based services in the existing mobile phones can reduce the cost and size of hardware required, as well as lead to a better output. Public transport. The user is furnished with explicit information.

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As innovation is scaling down and superior device requirements is extending including low power utilization, high versatility, high speed, low leakage currents, high dependability and small region so that Moore’s Law will be followed in the up and coming years too. In this paper conventional 6T and 9T SRAM cell is designed utilizing MOSFET, FinFET at 16nm and 45nm technology node and its performance parameters, for example, power, delay, Power Delay Product (PDP). The simulation has been finished with HSPICE tool for transient and dc analysis.

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In recent years, SCADA & IoT together have revolved the manufacturing industry. Industry 4.0 is fourth industrial reform, initiated by Germany. It is associated with use of internet and information technology in industrial automation to increase productivity, revenue and predictive maintenance. SCADA & IoT are complementary technologies for Industry 4.0. SCADA together with IoT will take the industrial revolution from the third generation to fourth generation. SCADA is a supervisory control that has already played a vital role in industrial automation in last few decades. SCADA has provided the capability to control process from a remote and centralized location. Industrial Internet of Things (IIoT) is an application of IoT in manufacturing sector. IIoT will rapidly transform gas, mining, oil, agriculture and healthcare sectors. This paper reviews the current progress of SCADA & IoT in industrial automation. In addition, this paper also provides opportunities and challenges in SCADA & IoT in context of industrial automation.

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The use of recycled materials derived from construction is growing everywhere the world. The main objective of the study is to investigate the effect of using recycled aggregates in replacement of natural aggregate on strength of concrete. The observations from this study are as under. The use of ordinary aggregate use in concrete compressive strength will get 29.47 N/mm2. The use of waste aggregate use in concrete compressive strength will get 24.48N/mm2.

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Self-compacted concrete is high performance concrete which has high fluidity without segregation which does not required vibration and able to flow by own weight for filling purpose of mold. But use of expansive admixture and very large quantity of cement and its give low strength and difficult to obtain. India has serious challenge for disposing industrial waste as land filling which result in high cost and environmental problem. Utilize treated and untreated industrial waste as raw material in concrete is give clean and greener environment. Industrial waste like copper slag and construction & demolition (C&D) waste replacing by fine aggregate and coarse aggregate in different proportion is economical. Copper slag is by product of matte smelting and retaining copper. Which can replace by fine aggregate in concrete and in C&D wastes major part ceramic waste can replace by coarse aggregate to improve workability and strength of concrete. The systematic experimental approach showed that partial replacement of coarse and fine aggregate could produce self-compacting concrete with low segregation potential as assessed by the flow test. The paper reports the results of flow test on replacement of fine aggregate and coarse aggregate by copper slag and ceramic waste respectively with different percentage. The results showed that copper slag and ceramic waste could be used successfully in producing self-compacted concrete with reduced segregation potential.

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The ordinary border patrol system suffers from intensive human involvement. Border security robot utilizes an ARM microcontroller kit, an IR sensor for obstacle detection, temperature sensor to detect the presence of explosives and surrounding temperature. The proposed system uses machine intelligence to provide immediate response from sensors. The robot system is equipped with sensors those can alert the user when some anomaly appears within the range while robot is working. The main feature of this robot differentiating it from others is execution of versatile tasks in night and rough areas.

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In developing countries like India, traffic being highly heterogeneous; speed ranges of LOS categories of urban streets are not well defined (HCM2000). LOS is the key factor for analyzing traffic & geometrical characteristics of urban streets as it affects planning, design, operational aspects. LOS determination of urban roads is quite different from rural roads. This paper reviewed various parameters that will affect LOS of urban roads.

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This paper is aimed at designing and modeling an efficient DC-DC Full Bridge Converter which will give high efficiency and reduced power losses. The designed converter is of 3 kW buck converter. This converter is proposed for the application in hybrid electric vehicle and railways where low output voltage is required. The existing model is investigated and it is found that it has less efficiency, more power loss and larger size. Hence a new model is proposed which will overcome the problems existed in the previous model. For this purpose current doubler circuit has been used in the secondary side of the transformer. In current doubler is a simple rectifier in which secondary side of the transformer see only half of the current flowing to the load which in turn causes the less current in secondary winding of the transformer and hence less loss, therefore increased efficiency. It reduces the ripple at the output which is again advantage in improving the efficiency of the converter. All the calculations will be carried out and simulations are performed in MATLAB. The switching technique used in this proposed model is Zero Voltage Switching (ZVS).

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Waste plastic disposal and excessive use of fossil fuels have caused environment concerns in the world. Both plastics and petroleum derived fuels are hydrocarbons that contain the elements of carbon and hydrogen. The difference between them is that plastic molecules have longer carbon chains than those in LPG, petrol, and diesel fuels. Therefore, it is possible to convert waste plastic into fuels. All around the globe companies and individuals are starting to produce fuel from waste plastic. As only 8% of waste plastic is recycled in the U.S., 15% in Western Europe, and much less in developing countries, this reuse of plastic could potentially keep enormous amounts of plastic out of landfills and out of the oceans. Over 500 billion pounds of new plastic is manufactured each year and roughly 33% of that is single use and thrown away. As so little plastic is recycled, we need to reframe plastic waste as an underused resource vs. landfill destined. If all plastic waste made it into the landfill, it would surely be mined in the future, but currently all plastic waste does not make it into our landfills. The United Nations estimates plastic accounts for four-fifths of the accumulated garbage in the world's oceans. We need to stop polluting our oceans with plastic before it is too late, and start collecting all plastics suitable for this new fairly simple technology, a technology that is available now.

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Concrete has the largest production of all manmade materials. It is a composite mixture containing cement paste and aggregates as its main components. Nowadays, common river sand is quite expensive so the main emphasis of this study is to find an alternative of sand. The various studies have been done using either stone dust or marble powder as a replacement of sand. To reduce the solid waste minimization and waste recovery, a combination of stone dust and marble powder has been attempted in this study. Further, cement has been partially replaced by silica fume. To achieve the aim of the project, necessary and essential tests on cement, stone dust, marble powder, coarse aggregate and concrete of different mix need to be carried out. These tests required to ascertain the variation, in the behavior of concrete when stone dust and marble powder replaces fine aggregate, in different proportions, while keeping the quantities of all the ingredients in the concrete mix constant, fine aggregate used for this comparative study are 60% stone dust and 40% marble powder. In the present study cement concrete cubes of different mix proportions are taken. Mix T0 is the controlled concrete using stone dust and marble powder (60% stone dust and 40% marble powder) as fine aggregate. Mix T1, T2, T3 contains 5%, 10%, 15% silica fume respectively as partially replacement of cement in concrete mix. The water / cement ratio in all mixes was kept constant at 0.31 by weight. Water reducing admixture was used to improve the workability and its dose was fixed as 1.5% by weight of cement. Each proportionate mix has been casted and the compressive and split tensile strength also tested as per IS code specifications for 7, 14, 28 days. It was found that concrete made of stone dust and marble powder with silica fume at 5% gave high compressive and tensile strength.

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.pylori infections are mainly associated with the bacteria been associated with gastric lessions. The attachment of the H.pylori with the epithelial cells mainly takes place with due to the CagA proteins. The effects of antibiotics in the H.pylori infections are now started to reduce as the bacteria is able to survive them. Moreover it is found that the antibiotics also effects the useful bacteria associated with the cells .A drug delivery approach to the H.pylori is very much essential for reducing the effects of the infections. Thus study proposes the effects of the polyphenols which can be used as an active therapeutic against Cag. These are natural polyphenols which are consumed with the food source. Therefore the chemical effects caused by the drug can also be reduced.

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Now a days manufacturing of uniform thick component is done with the help of forming methodology, forming methodology involves many challenges like-punch diameter, die radius, clearance, lubrication, blank holding force and its trajectories etc. So designing the tools for component needs a lot of prototype test procedure. To reduce number of prototype test steps, the process can be done by using finite element packages. Even the CAE gives an approximation towards the solution. The dissertation work is relevant in the context of developing a cost effective component with a lower development time through the phase of Design, Development, Trials and Testing, lot production & Regular supply. In this dissertation work, the significance of three important deep drawing process parameters namely blank Holding force, die arc radius and punch nose radius on the deep drawing characteristics was determined. Existence of thickness variation in the formed component may cause stress concentration and may lead to acceleration of damage. The CAE method is a powerful tool to predict material thinning deformations before prototypes are made. In this dissertation work, the combination of finite element method and Taguchi design of experiments and has been applied to analyze the influencing Design parameters on Thinning in automotive deep draw component.

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