Volume 6 | Issue 2

 Abstract

In this paper, a new lifetime distribution is introduced on the basis of SS transformation as suggested by Kumar et al. (2015). The considered baseline distribution is Lindley(?)-distribution. Some of the statistical properties of this new distribution such as MGF, Mean, Median, Skewness and Kurtosis have been studied. A real dataset has been considered and AIC, BIC, K-S test value with its p-value are calculated for this new distribution and for some other distribution too in order to show its application and superiority as compared to some other distributions

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Life Time Distribution, Trigonometric Function and Reliability Analysis.

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The chloroform and methanolic extracts of aerial parts of Teramnus mollis were subjected to column chromatography which afforded five compounds, ?- sitosterol, lupeol, ?-amyrin ,diadzin and vitexin. The extracts were also screened for antimicrobial activity and the chloroform extract showed strong antibacterial activity against Staphylococus aureus and methanolic extract exhibited moderate antibacterial activity. Further the chloroform extract displayed moderate antifungal effect whereas the methanol extract showed strong antifungal activity against Candida albicans.

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Teramnus mollis, aerial parts, phytoconstituents, antimicrobial activity

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Abstract : Information technology has a developing region known as cloud computing that comes into consideration of researchers because of its wide zone of applications. Load balancing challenges confine cloud computing being received effectively in every research field. It is a system which is required to convey the dynamic workload over numerous nodes to guarantee that no single node is over-burden. Appropriate load balancing techniques results in optimal utilization of resources and enhance the performance of the system. The objective of load balancing is to limit the resource consumption which will additionally reduce energy consumption and carbon discharge rate that is the critical need of distributed computing. There is a need for deployment of new metrics in cloud computing and it requires efficient load balancing algorithm to boost up its performance and for optimal utilization of resources. The survey mostly centered on the idea of load balancing techniques in cloud computing, the existing load balancing methods, and demonstrates future directions for the researchers.

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IndexTerms -Load balancing, Techniques, Cloud computing, Overload, Challenges.

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In this paper, we describe a navigation and control system for autonomous vehicles by using a traffic sign recognition module based on data received from a multi-sensor module disposed in the autonomous vehicle. A computing system of the autonomous vehicle can detect an event based on the traffic signs by retrieving data from the multi-sensor module. The multi-sensor module can recognize the traffic signs and process this information and provide it to the computing unit of the autonomous vehicle. The multi-sensor module may include image sensing unit, global positioning system, traffic detection and/or other sensing units. The traffic signs provide very valuable data about the road to make driving easy and safer. The traffic sign board specifically can be easily recognized by the multi-sensory module as well as humans because of their color and shape that are particularly different from natural environment. Further, it will be useful for the autonomous vehicle to use the traffic sign recognition system along with other sensing units to provide safe control and navigation of the autonomous vehicle. The proposed system first detects the traffic signs using color and shape sign boards and second allows the classification using a neural framework disposed in the computing unit of the autonomous vehicle. Further, the system also focuses on minimizing the rejection rate of the traffic sign boards that are not recognized because of non-standardized traffic sign in different jurisdictions. The system allows standardizing images of the sign boards and advantageously reduces the need for additional unit for standardizing the sign boards. Further, this system allows notifying, the user of the autonomous vehicle, for the traffic sign recognized by the computing system on the user interface of the autonomous vehicle.

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Autonomous vehicle, Traffic sign recognition, Object standardization/normalization.

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In this work, we tackle one of the problems identified above, that of cyberbullying, which is continuously increasing in the social Web and is becoming a major threat to teenagers and adolescents. In fact, 55% of teens using social media have witnessed outright bullying via that medium. in the digital age. there has been increasing in cyberbullying against special community including the women and minorities [1]. Our project focuses on these two issues to detect bullying through test and sentiment analysis in tweets of Twitter. We use a dictionary of weighted offensive words along with the presence of pronouns or collective nouns to calculate the Offensiveness percentage in each tweet. We also make use of a Sentiment Analysis to detect sentiment of the tweets.

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cyberbullying, tweets, per-prossesing, big-data, twitter, sentiment analysis

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In the information era, gigantic amount of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also excessive in variety and velocity, which makes them laborious to handle using conventional tools and techniques. Due to the expeditious growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets. Moreover, decision makers need to be able to gain valuable judgements from such varied and rapidly changing data, ranging from daily transactions to customer interactions and social network data. Such value can be made accessible using big data analytics, which is the implementation of new analytic techniques on big data. This paper aims to give idea about KFCG algorithm for big data. KFCG was initially prepared for normal image, audio, video data but was never optimized for big data. We prepare modification in KFCG so that it becomes suitable for big data analytics.

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Big Data, Clustering, KFCG, K-means, BFR

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The aim of this present study was to ascertain expression of anger in delinquents and non delinquents. Subject for this study were 100 adolescence, 50 were delinquents age between 14-17 years old. They were taken from reformatory of M.P. and 50 non delinquents age between 14-17 years old they were taken from kendriya vidyalaya of M.P. the instrument aggressive behavior scale (ABS-BSASKSR) was used. Developed by Dr. Sameer Babu m., Dr. Sarwat Ali and Prof. Riaz Shakir Khan. Result reveled that delinquents were expressed high anger then non delinquents.

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Anger Expression, Adolescence, Delinquents, Non Delinquents.

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With the growth and importance of the administrative process in the twentieth century, administrative rule-making or legislation has assumed tremendous proportions and importance. The bulk of law which governs people has its source from the chambers of the legislative as well as from the administrative agency. It is evident in the present day, that there has been a tremendous growth in the regulatory forces which has indeed made outsourcing of law-making powers to the administrative authorities a compulsive necessity. This act as ancillary to the general-law and lays down guidelines for the proper implementation of the same. In the regime of Constitution of India, there is no room for arbitrariness and is considered to be antithesis to equality, supremacy of law and rule of law. Therefore, under this light unlimited power of delegation to the executive by the legislature may, on critical occasions, be subversive of responsible government and erosive of democratic order. Hence, the system of quasi-legislative action needs careful and radical restructuring. In India, the doctrine of Separation of Powers has not been accorded a constitutional status. Apart from the directive principle laid down in Article 50 which enjoins separation of judiciary from the executive, the constitutional scheme does not embody any formalistic and dogmatic division of powers. As a general provision, Parliament is entrusted to make the law for the union. Executive is entrusted with duty of implementation of law and judiciary is also considered to be independent under the constitutional scheme in India. However, there are many exceptions which negate the application of this doctrine.

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Delegated Legislations, Seperation of Power , Rule of Law, Constitution of India

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Mechanical autos are relevant in the modern region for the discovery of gas spillages and as flame quenchers. The issues related with the usage of these sort of mechanical autos are less scope region, less memory limit and failure to help various guideline handling. To defeat these issues, an Android application which controls the development of the mechanical auto is produced, where a WIFI-module and Raspberry Pi microcontroller is presented. The summons produced from the Android application are sent as signs to Raspberry Pi and thus the application is reacted by Raspberry Pi with the video spilling signals.

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rover, raspberry pi, wi-fi, camera,, android, python.

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In recent years, the aging of the population has led to a change in the health field with special attention to the issue of health care sector, in which the patient health parameters can be monitored. Internet of things can make the medical equipment more efficient by permitting the continues observing of the patient. This paper reviews the current researches and development on this patient monitoring including ECG measurement, patient movement detection and other parameters. A variety of system implementation were compared and evaluated to identify the technical shortcoming in the patient monitoring system. The objective of this paper addresses the survey on IoT based patient monitoring system to provide a better healthcare to people in more economic and patient friendly manner. The quality data obtained from the application helps in improving diagnostic and treatment related decision making.

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Health care, Sensors, FIR Filter, real-time data acquisition.

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This paper introduces some fundamental ideas of knot theory in a way that is accessible to non-mathematicians. It summaries a few important examples of ways in which knot theory can be used to modern real world phenomena. Perticularly the role of knot theory in DNA Research including the importance of topology to the pharamaceutical industry and also use discuss the intersection of knot theory and graph theory it provide a new field graph knotted.

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Knot, graph, linking numbers, graph knotted, Intrinsically Knotted, Embedding.

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This paper represents an efficient Image Recognition Technique such as Principle Component Analysis Eigenface, Linear Discriminant Analysis Fisherface and Local Binary Patterns (PBP). This System helps to identify and detect a person by their different facial features, expressions using some processing through trained database.

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Principal components analysis, linear discriminant analysis, local binary patterns, face recognition, face database

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Metal cutting is one of the fundamental forms used in various small scale industries for cutting and bending of different metal sheets into different shapes. For cutting operation in the market we have a numerous procedures & approaches. Among them pneumatic hand operated sheet cutting tool is quite frequently and mostly used operation. In this paper, the design concept of a portable pneumatic hand lever cutter which is operated by a two way controlled valve and its safety values for cutting and bending force of sheets of variable thickness is discussed. Well there, some find outs are there between the manual and automated operated pneumatic cutting machine. The experiment was done to get the positive results and good comparison results for the future scope in the cost management also.

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metal cutting, manual, pneumatic, control valve, safety, portability

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In this study, the combustion and emission characteristics of biodiesel produced from Java plum seed oil and its blends and diesel fuel were compared. The experiments were performed in a single-cylinder direct injection diesel engine at steady-state conditions over the constant RPM (1500 RPM). During the experiments, the specific fuel consumption (SFC), pollutant emissions like hydrocarbon (HC), carbon monoxide (CO), oxides of nitrogen NOx) and smoke, and in-cylinder pressures were measured. The experimental results showed that, biodiesel blends had a 26.79 - 24% reduction in brake thermal relative to diesel fuel. On the other hand, Java plum seed biodiesel drastically increases CO, HC and smoke, while the NOx emission decreased. The combustion analysis showed that the addition of Java plum seed biodiesel to diesel fuel reduced the ignition delay period and also reduced the premixed peak. These results showed that Java plum seed biodiesel and its blends could be used without any modifications as an alternative fuel in diesel engine.

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Methyl ester, Transesterification, Biodiesel, Emission, Combustion

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Chemical used in pesticides has been hazardous to the human health and hence, there is a need to evolve out of the traditional way to farming. Organic farming is one natural way to overcome this issue. However, it is not easy to transform the farming methods without understand about the consequences. This study attempts to identify the opportunities for organic farming. Further, it attempts to examine the consumer perception towards organic food. It is found out that consumers do appreciate organic food and it is a niche market.

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Consumer preference, organic food, farming, opportunities.

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In the coming of era the digitized image is an important challenge to deal with the storage and transmission requirements of enormous data, including medical images. Compression is one of the indispensable techniques to solve this problem. In this paper, we propose an algorithm for medical image compression based on lifting base wavelet transform coupled with SPIHT (Set Partition in Hierarchical Trees) coding algorithm, of which we applied the lifting structure to improve the drawbacks of conventional wavelet transform. We compared the results with various wavelet based compression algorithm. Experimental results show that the proposed algorithm is superior to traditional methods for all tested images at low bit rate. Our algorithm provides better PSNR and MSSIM values for medical images only at low bit rate.

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Compression, Haar wavelet, Lifting scheme, SPIHT, HUFFMAN ,Entropy coding.

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In this study analyse the political participation of women in the First Three Bodoland Territorial Council (BTC) Government since 2005. The women participation especially in this area still remained very low and negligible in politics. To bring light on them, the political participation of women has the potential to change our society; it can have impact on outcomes for women and children especially in the distribution of the community resources; their participation in the peace negotiations, post-conflict reconstruction, decision-making power, political processes is to ensure the safety and protection of children and the vulnerable sections of population. On the basis of the Secondary data, the study discourse the status of women in terms of political participation such as contesting election ,receiving MPs (Lok Sabha & Rajya Sabha) Seats, receiving Executive Members and decision-making power used in the BTC Legislative Assembly. There is a need to create acts for improving the gloomy picture of women empowerment and active political participation in the BTAD.

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Women, Bodo, BTC, Politics, Executive, Political Participation, Women Representation

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Conventional transmissions allow for the selection of discrete gear ratios, thus limiting the engine to providing maximum power or efficiency for limited ranges of output speed. Because the engine is forced to modulate its speed to provide continuously variable output from the transmission to the load, it operates much of the time in low power and low efficiency regimes. A continuously variable transmission (CVT) is a type of transmission, however, that allows an infinitely variable ratio change within a finite range, thereby allowing the engine to continuously operate in its most efficient or highest performance range, while the transmission provides a continuously variable output to the load. The development of modern CVTs has generally focused on friction driven devices, such as those commonly used in off-road recreational vehicles, and recently in some automobiles. The thesis includes the CVT for auto gear of Automobile. CVT is very popular in four wheeler and failure analysis of critical component likes driven pulley and belt. The analysis will include the belt and driven pulley modelling in Solid Work 2015 and check failure condition in different loading condition for driven pulley and modal analysis of belt for overcome belt slippage at high speed for final result concluded.

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CVT, Engine, Gear, Pulley, Belt drive.

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