Energy security has become a serious global issue and a lot of research is being carried out to look for economically viable environment friendly alternatives. Recent years Graphene has acquired immense recognition among various researchers. Synthesis of graphene through green route has now become a paramount area. The prospects of producing Reduced Graphene Oxide (RGO) from different types of green material appear bright because of its sustainability, low cost and environment friendly in nature. Conventional chemical reducing agents are highly toxic, hazardous and harmful to both environment and human life. The object of this article is to provide a comprehensive review on various methods of Reduced Graphene Oxide (RGO) from green synthesis to date, as well as to discuss their advantages, disadvantages and beneficially characterization. In this article we covered all areas of the green methods which employed in natural reduction of Graphene Oxide (GO) including use of plant extracts, microorganisms, endogenous agents, metal-mediated procedure, bacterial respiration procedure, bio-antioxidant (Melatonin), baker’s yeast, non-harmful acids (hydriodic acids, trifluroacetic acid), glucose and glucosamine apart from some of the latest green technologies. The synthesized Graphene Oxide (GO) and green Reduced Graphene Oxide (RGO) samples were characterized using several methods. The formation of Reduced Graphene Oxide (RGO) was evident from Ultraviolet visible spectroscopy (UV-Vis) and Fourier Transform Infrared (FTIR) spectroscopic analysis which implied a clear indication of the removal of oxygen containing groups from the Graphene Oxide (GO). Additionally the thermal stability of the Reduced Graphene Oxide (RGO) nanomaterial was scrutinized using thermo gravimetric analysis or thermal gravimetric analysis (TGA). Dynamic Light Scattering (DLS) was also utilized for zeta potential measurements to monitor the stability and size of the obtained Reduced Graphene Oxide (RGO) sheets. Other spectroscopic techniques are SEM (Scanned Electron Microscopy), TEM(Transmission Electron Microscopy) etc. Further research is required in this area for successful implementation of this technology at production scale.
Page(s): 01-12 Date of Publication: 12 July 2018
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In this research paper, a single-input single-output (SISO) care presented. The presented design is based on the Operational transresistance amplifier (OTRA) and it is preferred due to its high slew rate and wider bandwidth over the conventional operational amplifier circuit. Here Butterworth, Chebyshev and Bessel Higher order All Pass filter structure are simulated with PSPICE using 0.5μm CMOS technology; also simulated result follows the theoretical one.
Page(s): 13-15 Date of Publication: 12 July 2018
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In this paper, we try to use a first-order system approach for Burgers’ equation. A non-linear partial differential equation is converted into a system of linear equations with non-linear source terms, known as a ‘relaxation system’. The new strategy is to solve an equivalent first order hyperbolic system instead of the second-order non-linear partial differential equation. The numerical solutions obtained through this approach have same order accuracy in space and time.
Page(s): 16-17 Date of Publication: 12 July 2018
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Mutual funds are the instruments used to mobilize savings into profitable investments. Since mutual funds accept small deposits, it is very feasible for the small investors to easily become the part of financial market. Mutual funds are linked to the financial market and give access to equity, debt and money market instruments. Since its beginning from 1963 to 2017, it has showed the remarkable rise in number of accounts as well as investment corpus. Mutual fund industry is experiencing the growth as AUM (Assets Under Management) have grown three and half fold in December 2017 more than in march 2012 i.e. 21.27 trillion in 2017 and 5.87 trillion in March 2012. Beginning from one player, now it is increased to 44 major players. Public, private and foreign financial undertakings are actively participating in expansion of mutual fund industry. Financial market suffered a major downfall in 2008 due to US meltdown which affected mutual funds industry. But, mutual funds gained its momentum from 2011-2012. After 2012, mutual fund industry has grown in huge numbers. Investors are influenced towards mutual funds as they can easily become the part of financial market and they are also disheartened by the sluggish growth of real estate, low return from gold and silver etc. As of Dec 31 2017, the number of folios in mutual funds stood at 55.4 million witnessing a growth of 15% CAGR over the last two years. The total number of accounts (SIP’s) has risen and reached to 6.65 crores in which retail contribution amounts to 5.46 crores. As investors inclination towards mutual funds is increasing so companies are even focusing more to promote the investment. Now a day, the investors have started using the digital mode for purchase and repurchase of mutual funds units. With the help of digitalization, investors feel very easy to operate in financial market. All the mutual funds companies initiated online approach for investors as investors can easily invest through the mobile apps as well as from their websites. Even KYC norms are to be strictly followed as they help the investors to invest easily in mutual funds as per their convenience. This paper will highlight the growth of mutual funds in last ten years. It will also reflect the various reasons (macro economic factors) for the various fluctuations in mutual funds industry in last ten years.
Page(s): 18-23 Date of Publication: 12 July 2018
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This paper investigates the effect of concrete with iron slag as admixture using copper slag as fine aggregate replacement. Owing to the scarcity of river sand and expensiveness of cement materials in concrete, partial or full replacement of copper slag with sand as it is having silica content as sand and partial replacement of cement with iron slag were performed as it is having similar binding and chemical properties of cement. The test results were obtained for M30 mix by adding copper slag to sand in various percentages ranging from 0%, 20%, 40%, 60%, 80% & 100% at 10% iron slag as a replacement with cement in concrete which is approved by Indian Standards. All specimens were cured for 7, 28 days before compressive strength test, split tensile test and flexural strength test and optimistic percentage of copper slag and ferrous slag was found.
Page(s): 24-28 Date of Publication: 16 July 2018
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The arches are one of the oldest standing bridge structures. These bridges that were made of stone and brick masonry remain operational after hundreds of years. Arch Bridges made of Brickand Stone masonry have stood the test of time for centuries and they are still operational. Arch Bridges carry only compression forces. In the modern era with growing environmental concern and accumulation of waste and pollutant it becomes necessary to adopt sustainable construction techniques. Arch bridges require high initial cost, precision and due to time consuming construction process, very few arch bridges have been built since the early 1900s. Hence the development of flexi Arch bridge. The Flexi Arches can be installed rapidly, in less than a day rather than months, they prove to be economical than other precast bridges, for length of bridges greater more than 30 meters the economy is more as the high initial cost in machinery is taken care. These Arches have all the characteristics of masonry arches.
Page(s): 29-31 Date of Publication: 16 July 2018
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The areas such as microelectronic cooling, especially in central processing units, macro and micro scale heat exchangers, gas turbine internal airfoil cooling, fuel elements of nuclear power plants, and bio medical devices here heat transfer enhancement concept is used .In this work experimental investigation of natural convection heat transfer from vertical roughened surfaces has been carried out. The effect of variation in surface roughness and heat input on convective heat transfer coefficient and Nusselt number has also been evaluated. Natural convection from heat transfer from vertical roughened plates has experimentally been compared to that of plain plate. Three different roughened surfaces are made by varying pitch and by varying the depth of roughness. With increase in surface roughness the heat transfer rate, convective heat transfer coefficient and Nusselt number increases compared with plain plate.
Page(s): 32-37 Date of Publication: 16 July 2018
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To improve thermal comfort in building and save energy, it is important to use high performance materials with good thermal insulation. The major objective of this study is to determine effect of Polyurethane Foam addition on thermal conductivity and compressive Strength of concrete. Polyurethane is an insulating material having thermal conductivity 0.018W/mk. The mix Design of M20 grade concrete was prepared by adding 0%, 0.1%, 0.25%, 0.5% liquid polyurethane foam by total weight of concrete and followed by curing in water for 7, 14, 28 days. The test results shows that there was decrease in thermal conductivity from 0.993W/mk to 0.842W/mk due to insulating effect of polyurethane foam. Decrease in density due to porosity and air pores present in concrete results in reduction in thermal conductivity. Also compressive strength decreases with addition of polyurethane foam. M20 grade concrete with 0.25% addition of polyurethane foam having 0.89W/mk thermal conductivity and 20.31N/mm2 compressive strength shows good results from thermal and design point of view.
Page(s): 38-41 Date of Publication: 16 July 2018
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From a long time, there have been predictions happening in the financial market, such as stock market and bond market. Cryptocurrency market is on rise since the past few years but predictions about the market trend followed by these currencies is still in its nascent state. This study is based on the relationship between current sentiments of public opinion and price variation in this market, and is concerned with predicting whether cryptocurrency market will trend upward or downward using sentiment analysis, which is one among the various applications of natural-language processing. Bitcoin is the selected cryptocurrency. A platform to predict the future market trend of cryptocurrency market is built using Naïve Bayes classifier, in Python language. The validity of the model is tested by finding correlation between sentiment polarity of tweets with price values of respective time period. An accuracy of 89.86% is achieved by this model.
Page(s): 42-45 Date of Publication: 21 July 2018
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Stock market index is a statistical measure that quantifies the changes in a portfolio of stocks which represents a portion of the overall stock market. Prediction of stock market has been a challenging task and of great interest for scholars as the very fact that stock market is a highly volatile in its behaviour. Prediction of stock market is substantial in finance and is gathering more attention, due to the verity that if the direction of the market is predicted successfully the investors may be effectively guided.” “Deep Learning technique is a subfield of machine learning which is concerned with algorithms necessitated by the function and structure of the brain called artificial neural networks. The most popular techniques are Multilayer Perceptron Networks, Restricted Boltzmann Machines, Convolutional Neural Networks and Long Short-Term Memory Recurrent Neural Networks.” “This work focuses on the task of predicting the stock market Index. The objective of the project work is to develop and compare the performances of Multilayer Perceptron (MLP) and Long Short-Term Memory (LSTM) Networks in forecasting stock market indices. Recent ten years historical data of Bombay Stock Exchange (BSE) Sensex from the Indian Stock market has been chosen for the experimental evaluation. The Adam Optimizer is used for the training of deep neural networks. Root mean square Error (RMSE) is used to compare the performance of the prediction models. As seen from the results, the prediction is fairly accurate in both cases and MLP has outperformed LSTM model, in predicting stock market indices. Neural networks have proved to be a good technique, to forecast a chaotic time series data like stock market index.
Page(s): 46-50 Date of Publication: 21 July 2018
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Wireless Sensor Networks (WSN) are deploy in the hostile environment to collect data. WSN undergo various attacks during deployment and data collection. The security is very essential during the time of data collection and aggregation. Various soft computing methods are used along with secure WSN. In this paper, fuzzy logic based secure WSN are discussed and surveyed. The strength and weaknesses of different methods are studied. The different methods are compared in terms of various parameters.
Page(s): 51-54 Date of Publication: 21 July 2018
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The secondary market is the market where previously issued financial instruments, such as bonds and stocks are bought and sold. It is where investors sell/buy to/from other investors. Transfer of security in secondary market includes execution, clearing and settlement processes. Execution is done in stock exchanges. Determination of obligation of securities is called clearing and all the processes that follow clearing up to the exchange of fund and securities are settlement. Clearing and settlement process in India (case of NSE) is using National Securities Clearing Corporation (NSCCL) for its working. The settlement time taken for completion of settlement is two working days from the trading day. The work develops a model of clearing and settlement (in NSE) using blockchain. The model minimizes the settlement time from two days to a few minutes. The proposed model has distributed ledger which uses smart contract in its working and easily transfers data throughout all the members present in network. All participants in network holds the same copy of ledger and addition of a new transaction to network has to be accepted by all members in network. The fast transfer of information between different entities reduces the settlement time.
Page(s): 55-57 Date of Publication: 21 July 2018
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Highrise structures are mostly affected by lateral loads and vulnerable to seismic forces. One of the main causes for failure of structures is their irregularity (either plan irregularity or vertical irregularity). In this study, the response of irregular structure with shape L situated in seismic zone V are evaluated. For the analysis, 25 storey building is considered. The analytical methods used in this dissertation work are response spectrum method and time history method. The seismic parameters for earthquake loads and functions are set as per IS1893-2002(1), IS1893-2016(1) and IS 16700-2017 and time history method is carried out using BHUJ earthquake data. The FEA software ETABS v15 is used for analysis. Also, the presence of shear wall and the behavior of structure by its inclusion is studied. For the study, totally eight models are considered whichare L-shaped structures (with and without shear wall analyzed using linear and non-linear dynamic method for IS1893-2002 and IS1893-2016). In this work, various parameters like storey drift, storey displacement, time period, base shear and modal mass participation ratio are obtained for all the models and have been compared. Also, the column forces at re-entrant cornerand interior column is compared.
Page(s): 58-66 Date of Publication: 23 July 2018
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In this paper, we investigate the stability of a functional equation f(x+y+z)+f(x-y)+f(y-z)+f(z-x) = 2f(x)+2f(y)+2f(z)+f(-x)+f(-y)+f(-z) by using the fixed point theory in the sense of L. Cadariu and V. Radu.
Page(s): 67-69 Date of Publication: 25 July 2018
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Cryptocurrency, is a decentralized digital or virtual currency. Use of cryptography for security makes it difficult to counterfeit. The primary cryptocurrency, the Bitcoin was launched in the year 2009 by Satoshi Nakamoto. Bitcoin, Ethereum, Ripple, Bitcoin cash, Bit connect, Dash, Ethereum Classic, Iota, Litecoin, Monero, Nem, Neo, Numeraire, Stratis, Waves etc. are some of the popular Cryptocurrencies. Cryptocurrencies started to gain attention in 2013 and since then witnessed a significant number of transactions and hence price fluctuations. The cryptocurrency market is just similar to stock market. It has gained public attention and so effective prediction of price movement of cryptocurrency will aid public to invest profitably in the system. This paper tries to predict the price of Cryptocurrencies. Machine learning techniques were implemented and the use of Adam optimizer and Long Short Term Memory (LSTM) network proved very efficient in predicting the prices of digital currencies.
Page(s): 70-72 Date of Publication: 25 July 2018
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I give the general solution of the functional equation f(x+y+a)+f(x-y+a)=2f(x+a)+2f(y) and investigate its generalized Hyers-Ulam-Rassias-Stability.
Page(s): 73-76 Date of Publication: 25 July 2018
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Spur gear is the simplest & widely used component in power transmission system. A spur Gear is generally subjected to bending stress which causes teeth failure. However it is observed that performance of the spur gear is not satisfactory in certain applications and therefore it is required to explore some alternate materials to improve the performance of the spur gears. Composite materials provide adequate strength with weight reduction and they are emerging as a better alternative for replacing metallic gears. In this project analysis is done by considering different materials for gears like Cast Iron, Carbon fiber / Epoxy, Glass filled Nylon 6, Aluminium Silicon Carbide, Nylon 101, Polyoxymethylene, Aluminium Alloy and Titanium Alloy.
Page(s): 77-86 Date of Publication: 29 July 2018
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Trading Strategies provide a set of trading rules defining the conditions that must be occurred for a trade entry and exit to occur. Profit Gain is the final aim of a trader competing in financial markets. In order to earn profits, traders find the help of new decision support systems. Nowadays, investors started adopting technical indicators for trading in stock markets. The trading decision prediction is one of the problems faced by many traders. The trading decision prediction is considered as a categorization problem. Integration of technical indicators with trading rules helps traders to decide when to buy, sell and hold stocks. The use of artificial neural networks with the technical indicators conquered the world of stock trading prediction. These are now able to predict the market trend. In this project, a new decision prediction system which involves the use of Computational efficient functional link artificial neural network learned by back propagation algorithm is studied to understand the behavior of stock trading signal of equity stocks. This strategy is then compared with the Simple Moving Average strategy.
Page(s): 87-92 Date of Publication: 29 July 2018
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Television becomes a National Phenomenon in India when on August 15, 1982; The National programme of Doordarshan was inaugurated. Presently television has come to occupy a central place in the lives of the people. TV, to a great extend, determines the rhythm of people’s life not only in towns but in villages as well. This anxiety is more about the growing up children. Young children whose basic personality structure is being formed spend a lot of time before TV. TV appears to compete with the traditional agencies of socialization such as family, school and religious organization. The chief socializing agency is, of course, the family which is supported by the school and the religious community. Parents who are charged with the responsibility of socializing the young are naturally concerned with the impact of TV may have on their words. The main purpose of the study is to focus on the effects of TV advertising on children.
Page(s): 93-96 Date of Publication: 31 July 2018
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A chatbot is a computer program to stimulate human response and there by facilitates communication with clients with the support of rule based or machine learning tools. A portfolio is a group of financial assets. It includes stocks, bonds, cash equivalents and their fund counterparts, including mutual funds, exchange-traded funds and closed end funds. In this paper it is attempted to suggest a suitable portfolio to an investor based on his age, investable amount, investment tenure and expected returns.
Page(s): 97-99 Date of Publication: 02 August 2018
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Merger, consolidation of companies or assets through various financial transaction provides the survivor organization growth along with competitive advantage in terms of technology, market share, infrastructure etc. It optimizes allocation of resources and improves efficiency of organizations. This work analyses the effect of mergers on Indian banking sector by considering the pre-merger and post-merger financial performances of Kotak Mahindra and ING Vysya banks that undergone merger. Secondary data as available from NSE website, annual report of the respective banks and other web based data sources were used to draw conclusions regarding the effect of the corporate event. The banks considered here are equally strong and well managed by competent professionals. The effect of this merger is primarily the growth of this survivor which gained the fourth position among the players in Indian banking sector. This analysis reveals that the corporate action is positive except in the case of non-performing assets which shows an increased trend compared to the post-merger results of Kotak Mahindra bank.
Page(s): 100-102 Date of Publication: 02 August 2018
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Chatbots are computer program that interact like humans using natural language, processing. A chatbot could answer a user in the same way that a human responds. Health insurance are types of insurance policies which cover the surgical and medical expenses of the policy holder. Health insurance policies are a good strategy to secure our health related issues. The policies will offer us with a certain amount of coverage depending upon our personal data. There are private and public health care existing in India. This work comprises of developing an artificial conversational entity for the health insurance sector in Indian scenario. There exists health insurance chatbots which are industry based. The insurer has to provide the medical risk factors to the chatbot. On the basis of the personal details of the insurer the chatbot will suggest the best insurance plans that can be given to that person. It helps in finding the best health insurance plans by evaluating the given past health insurance data. The data structure includes both the private and public health insurance schemes.
Page(s): 103-106 Date of Publication: 02 August 2018
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This paper is a study of the value of applying artificial neural networks (ANNs), particularly a multilayer perceptron (MLP), to distinguishing proof of higher plants utilizing morphological characters gathered by regular means. a functional philosophy is subsequently shown to empower natural or zoological taxonomists to utilize ANNs as warning apparatuses for id purposes. an examination is made between the capacity of the neural system and that of conventional techniques for plant recognizable proof by methods for a contextual investigation in the blossoming plant variety lithopne. dark colored (aizoaceae). specifically, a correlation is made with ordered keys created by methods for the delta framework. Image preparing and acknowledgment is completed on the real Image change and change to accomplish the point of recognizable proof. In light of the normal for the Image data is that it is a two-dimensional space, so the measure of data it contains is expansive. Neural system Image acknowledgment innovation is the cutting edge PC innovation, Image preparing, computerized reasoning, design acknowledgment hypothesis built up another sort of Image acknowledgment innovation. Prior to the Image acknowledgment need to utilize advanced Image handling procedures for Image pre-preparing and highlight extraction. With the hypothesis of man-made reasoning exploration and the improvement of PC innovation, the use of neural system in Image design acknowledgment look into is progressively dynamic.
Page(s): 107-110 Date of Publication: 02 August 2018
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Fraudulent activities exist in all fields of financial domain; credit card is not an exception. The increased fraud in credit card transaction is obviously due to its wide spread popularity since the introduction of online banking and e-commerce platforms. The purpose of the fraud may be to obtain goods without paying, or to obtain unauthorized funds from an account. We cannot rely on pattern based fraud detection since the fraudster rarely follows any pattern. As technology advances the fraudulent activities will also increase. The project aims to introduce deep learning technique to detect fraud in credit card transactions. Deep learning consists of neural networks with many hidden layers. The project uses deep learning techniques such as Autoencoder, Restricted Boltzmann Machine, Variational Autoencoder and Deep Belief Network to detect fraud in the credit card transactions. The aim is to find the best technique among them. Unsupervised deep learning method is used to evaluate fraud since the model learn from data and not from labels.
Page(s): 111-115 Date of Publication: 02 August 2018
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Since the time immemorial the human evolution has been witnessed to take place at the closest proximity of the water sources, to fulfil their basic needs of water and food. With time this reliance on the water resources has paved the way to use them as the way to earn means of support for the humans in addition to the fulfilment of the basic needs of food. Fishes have gained its status as the most important source of human nutrients. Sea and river fishes are the major food source of the ever increasing human population of the world. Various earlier works have already established the fact that with the right techniques and vision, fish farming can turn into a very noble and profitable venture. Being blessed with tropical climatic condition fishing seems to be one of the age-old practices in the state of Assam. Despite of the huge potentiality in fish farming with available ample water resources, the contribution of fishery sector to the State Gross Domestic Product (SGDP) of Assam is still very nominal. This present work is an effort to get some deeper insight about the fish farming activity in the newly created Biswanath district of Assam, with the objective to pinpoint different factors effecting the outcome, measured in terms income earned, of some selected commercial fish farming units of the study area. In addition to this a detailed analysis of efficiency level of various marketing and distribution channels of these fish farming units is also tried to investigate.
Page(s): 116-121 Date of Publication: 04 August 2018
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Trade finance includes the various financing activities in an international trade. Since the parties participating in a trade are from different countries, there are several risks associated with this area. Also it is still a largely paper based business and hence the time taken for various activities is too large and chances of errors are also high. Normally, there will be a buyer and seller with intermediaries like banks or financial institutions are present in trade finance and different activities are happening with these parties. Also there are various documents included in trade finance like letter of credit, bill of lading etc. and each of them having specific cost and risk. Blockchain is a distributed ledger technology which is mainly used for cryptocurrencies and also for building smart contracts. The technology has established in the year 2008. Blockchain has the potential to solve the problems arises in trade finance like risk, time consumption and costs. Using blockchain, smart contracts can be built in the area of trade finance which makes it more transparent and risk-free. Each activities in trade finance can be stored to a block in blockchain and every party has the provision to look at the activities in real time which makes them more comfortable in business. Legal documents and contracts between parties can be stored in a blockchain and if anyone wants to make a change in a particular document, all the other parties have to approve it and this will reduce fraudulent activities. The provision to protect highly secure data from other parties is also available in blockchain. External attacker cannot make changes to a blockchain because if anyone tries to do that, he has to attack every parties in the contract to make a change and which is not possible since the hardware using will be having high power to protect it from frauds. Blockchain will provide high secure, transparent and cost-free solution to trade finance.
Page(s): 122-125 Date of Publication: 05 August 2018
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Bitcoins are digital currencies that works on technology called blockchain, which is a public electronic ledger that is openly shared among the nodes in the network and creates an unchangeable record of the transactions. In financial networks, thieves and their illegal activities are called as anomalies. Members of a network want to detect anomalies as soon as possible to prevent them from creating problems in the network’s community and integrity. This study focuses on anomaly detection of the bitcoin transactions using unsupervised machine learning method. An anomaly detection model is developed with the help of isolation forest algorithm. The developed model initially extracts all bitcoin transaction data and various features of the same. The incorporated isolation forest algorithm isolates observations by arbitrarily choosing a feature and afterward split the value amongst most extreme and least ones of the selected features. The anomalies are detected by running developed the isolation forest model and the most suspicious transactions are determined for corrective action.
Page(s): 126-129 Date of Publication: 05 August 2018
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With changing times and ever advancing technologies, it is very pertinent that the current electric power system evolves. The improvement in the existing system is whetted by exigent necessity to decarbonize electricity supply, to replace ageing assets and to make potent use of booming information and communication technology (ICTs). The aforementioned requirements are met by Smart Grids, the concept of which revolves around the idea of providing greater visibility to lower voltage networks and enabling the consumers in the operation of power system, through Smart Meters and Smart Homes. Thus, Smart Grids tend to make use of the advanced ICT to control new energy system consistently, reliably and efficiently. There are thousands of power plants that generate electricity using wind energy, nuclear energy, coal, hydro, natural gas, and a variety of other resources. These electric generating stations produce electricity at a certain electrical voltage, which is stepped up or down as per the requirement at each level of distribution of electricity. A network of electrical components deployed to supply, transfer, and use electric power make up a power system. The basic idea behind Smart Grids is to add monitoring, analysis, control, and communication capabilities to the electrical delivery system to maximize the energy throughout of the system while reducing the loses. Consumers, thus, with the advent of Smart Grid will have the flexibility and choice to manage their electrical use helping them in slashing the electrical bill.
Page(s): 130-133 Date of Publication: 05 August 2018
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Dengue is a mosquito-born viral infection which is one of the serious threats to human population and economic burden in tropical and sub-tropical region particularly in Asia. The viral infection causes flu-like symptoms and can develop into a potentially fatal form of the disease – dengue haemorrhagic fever (DHF) which eventually leads to dengue shock syndrome (DS). The severity of dengue fever is further amplified by the lack of treatment. Till today there is no treatment or medicine for controlling the dengue fever and except Dengavaxia which is not enough for the protection from infection of all the four serotypes of dengue. India has a rich diversity of herbal medicine which is used in traditional ethnomedicine. Indian rural population still depends upon herbal medicine for the treatment of various viral fevers including dengue virus disease because of its cost effectiveness and easily availability. Therefore, Indian traditional/folk medicine system known as Ayurveda plays an important role in controlling many viral infections including dengue disease. Hence new antiviral medicines of botanical origin could be easily accepted, being non-toxic and inexpensive. This review paper updated and discussed most of the published research work on the use of herbal medicine for the treatment of dengue fever which could be the primary knowledge on the anti dengue plants. These anti dengue plants could be further analyzed and studied for the future development of botanical drugs for controlling dengue viral disease.
Page(s): 134-159 Date of Publication: 05 August 2018
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There is increase in demand for cosmetics which have anti-ageing properties as majority of the population is concentrating on personal care and maintenance of skin . Different strategies are used to enhance the efficacy of dermatological delivery systems. Several anti-ageing therapies are used by people, but these therapies are associated with several side effects which limit their applicability in the market. The present article describes the novel trends in treatment of ageing. This article focuses on the multiple uses of DL α Tocopheryl acetate in the treatment of ageing, wrinkles and its effect on moisture retention, elasticity and fatigue of the skin.
Page(s): 160-169 Date of Publication: 05 August 2018
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Employee motivation and empowerment is more important in all organization. Motivation is a dynamic organizational behavior issue and there cannot be any organization – specific motivation tool. The motivational perceptions of all types of employees throughout the world are fast changing in response to a number of key variables. Empowerment has been accepted as an important organization factor in satisfying the psychological needs of the employees in the work place. It is the process of enabling an individual to think, behaves, take action, and control work and decision making in autonomous ways. The study on employee motivation and empowerment helps the organization to get maximum information with regard to employee job performance. Therefore the study on employee motivation and empowerment at KVIC is conducted based on several variables such as organizational structure, working conditions, job security, suggestion system etc. in order to helps the management to formulate suitable policies relating to motivation and employee empowerment.
Page(s): 170-184 Date of Publication: 06 August 2018
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Presently, Software Development is a nonstop procedure. In the meantime, designers, analyzers work in various modules of a typical task. Along these lines, there ought to be process stream which everybody ought to take after with the goal that one folks work won’t hamper different folks work in same venture. For fast and nonstop improvement, Continuous Integration, Delivery and Deployment is the best practice. This approach causes associations to often and dependably discharge new upgraded highlights to existing venture or item. As this approach is utilized by surely understood programming enterprises, this paper gives a short depiction on Continuous Integration, Delivery and Deployment process, the advantages of following this approach, a portion of the difficulties looked by following these methodologies and couple of thoughts to enhance these methodologies. Additionally, from already distributed papers I recorded some basic elements, for example, Testing (Effort and Time), Team Awareness and Transparency, great Design Principles, Customers, profoundly gifted and propelled Team, Application Domain, and fitting foundation that ought to be deliberately when following this Continuous Integration, Delivery and Deployment approach. These methodologies have turned into a vital zone of programming building exploration and practices. While these methodologies are tending to an extensive variety of difficulties. Be that as it may, there are a few difficulties and holes, which require future research like catching and announcing the logical data, picking up a profound seeing how programming framework ought to be intended to help these methodologies and tending to the absence of learning and apparatuses for building procedures of planning and running secure organization pipelines.
Page(s): 185-190 Date of Publication: 06 August 2018
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I. INTRODUCTION
The Beijing declaration of 1995 promised a better world! A world in which women would have equal rights, an equal share in all spheres of society, where women would be empowered and human rights would be women rights! A special platform during the Beijing conference was devoted to ‘gender and environment’, linking gender inequality to lack of access to resources and food insecurity. Since independence Government of India and Government of various states have taken lots of initiation for development of tribal livelihoods. Lots of programmes are implemented for sustaining their livelihoods. The development policy for the tribals has changed its strategy continuously in search of sustainability. The social scientists have laid emphasis on the importance of cultural fabric of the tribal world to accelerate this process.Page(s): 191-197 Date of Publication: 08 August 2018
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The purpose of this project is to present a Programmable Logic Control (PLC) and SCADA based control system that is applied to the Colour Sorting Machine. In many industrial applications, there is a need of sorting. Sorting can be done by using many ways according to the dimensions, colours, weight, using machine vision (image processing), material of an object etc. For example, in Thermal Power Station, electromagnetic sorting technique is used to sort ferromagnetic materials from coal. This project consists of components such as PLC, SCADA software, conveyors, colour sensors, electronic system and motors. The objects are being sorted according to their respective colour. The main conveyor is supported of two branches to load the distinguished object on to the respective one as separated by the electronic system and detected by the proximity sensors. In this project, SCADA provides a user-friendly environment to establish an easy communication between humans and process. SCADA shows the activation of various parts of the system, i.e. conveyors, motors, LDRs and electronic devices.
Page(s): 198-202 Date of Publication: 08 August 2018
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The perception that Beninese have of the notion of civil society is sometimes vague, sometimes confused. This research aims to establish a typology of civil society in the context of Benin, given that a first step was taken during a national refocusing seminar. The methodological approach to research is of the qualitative type and has focused more on the search for the meaning of social phenomena around the notion of civil society in Benin in a comprehensive perspective. The data were collected from 96 people selected by reasoned choice in the main urban centers of the country. The results show that some organizations today known as “civil society” have a pre-colonial presence. This diversity of origin, nature and field of action is both a constraint and an opportunity for the typology of CSOs. The constraint lies in the fact that, because of this great multi-level diversity, there cannot be a single way to classify CSOs. One could thus decline several typologies according to for example the origin, the nature, the field of action, the strategic interest, the potential of action, etc. But this exercise carries a real risk of misplacement and dispersion. On the other hand, it offers a good opportunity for a more in-depth analysis of the players in this sector. This is why, for the sake of efficiency and the restitution of the socio-historical reality that characterizes this controversial notion of civil society, two typologies proposals based on the cultural origin of CSOs on the one hand and their level of intervention on the other hand are formulated.
Page(s): 203-209 Date of Publication: 08 August 2018
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