Volume 6 | Issue 2 |

 Abstract

Liver cancer is one of the most popular cancer diseases and causes a large amount of death every year. The chances for liver cancer in men and women have increased to 40% and 23% respectively. Segmentation of liver from images of the abdominal area is critical for diagnosis of tumor and for surgical procedures. Accurate detection of the type of the liver abnormality is highly essential for treatment planning which can minimize the fatal results. Accurate results, however, can be obtained only through computer aided automated systems. Besides being accurate, these techniques must converge quickly in order to apply them for real time applications. Many reports claim its work to be superior, but a complete comparative analysis is lacking in these works. In this survey paper, an extensive comparative analysis is performed to illustrate the merits and demerits of various available techniques. This work also explores the applicability of the techniques in liver segmentation from Computed Tomography images. The main objective of this work is to highlight the position of various automated techniques which can indirectly aid in developing novel techniques for solving the health care problem of the medical sector.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image Processing, Liver Cancer, Liver segmentation, Kmeans

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A REVAMP OF IDENTITY : A STUDY OF BAPSI SIDWA’S AN AMERICAN BRAT

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diaspora, migration, identity, cultural crisis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Existing parallel burrowing counts for visit itemsets don't have a part that engages modified parallelization, stack altering, data apportionment, and adjustment to non-basic disappointment on colossal clusters. As a response for this issue, we diagram a parallel visit itemsets mining estimation called FiDoop using the MapReduce programming model. To achieve pressed limit and go without building prohibitive case bases, FiDoop combines the normal things ultrametric tree, rather than common FP trees. In FiDoop, three MapReduce occupations are executed to complete the mining task. In the fundamental third MapReduce work, the mappers openly separate itemsets, the reducers perform blend errands by building little ultrametric trees, and the genuine mining of these trees autonomously. We realize FiDoop on our in-house Hadoop bundle. We exhibit that FiDoop on the gathering is sensitive to data allotment what's more, estimations, in light of the way that itemsets with different lengths have unmistakable rot and advancement costs. To gain ground FiDoop's execution, we develop a workload modify metric to measure stack change over the gathering's enrolling centers. We make FiDoop-HD, a development of FiDoop, to quicken the digging execution for high-dimensional data examination. Wide tests using genuine perfect unearthly data delineate that our proposed course of action is viable and flexible.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Frequent Pattern Growth, Apriori, Rapid Association Rule Mining, Data Mining, Frequent Patterns, MapReduce.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet technology adoption, utilitarian and hedonic factors, web-user interface, psychological constructs and demographic dividend

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Big Data refers to collection of large datasets containing bulky amount of data. Big Data is generated from various sources such as social networking sites like Facebook, Twitter, Instagram etc. and the data that is generated can be in various formats like structured, semi-structured or unstructured format. Social media monitoring is growing day by day, therefore, analysis of social data plays a vital role in knowing user behavior. These behavior of users country wise helps in getting information about various current trends and can be used further in deciding usefulness of some tasks, products, and themes. Therefore, it is important and necessary to classify these trending topics into various categories with high accuracy for better information retrieval. To address this problem, this paper aims to classify Tweets into general categories ?rst such as sports, politics, technology and more categories later on based on Naive Bayes algorithm. Tweets are available in JSON format which is to be converted into a structured data. By classification all the tweets about a particular topic we would give the output of how data is classified for a particular topic with a good accuracy.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Classification, Trending Topics, Tweets, Twitter, Naive Bayes Algorithm.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hand Posture, Hand Gesture, Hand Gesture Recognition (HGR), RADAR, Digital Image Processing, Computer Vision, Electronic Gloves, Feature Extraction, Neural Networks

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Integrated websites, SET, SOA, Threats, Vulnerabilities, Multi stake holders

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Women play a crucial role in the growth of the economy. Over the years, Indian women have made a substantial impact and achieved success across sectors, both within the country and overseas. In India though women are playing key role in the society, but still their entrepreneurial ability has not been totally tapped due to the gender disparity shown to the women in the society. Every woman looks for the best opportunities to work from home ,which involve little to no start up capital and minimal risk. Craft is one such innovative vista that is open to the women to start their own small businesses(SB). This study focuses on one such craft which is made out of grocery bag waste. The study also provides knowledge, skill and competence in business which happen to be the core reasons for women to come forward to take up business ventures. The study act as a push and pull factor for women to have a self supporting occupation and to serve the country by reducing shopping bag wastes(SBW) which act as a major threat to the environment.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Indian women, SB- Small business, SBW- Shopping bag wastes

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

sudden change in voltage may cause damage for the functioning of mission critical electrical loads. To avoid these damages and to provide a steady flow of power to these electrical loads we are using uninterruptible power supply(UPS). It provides instanraious solution to these power quality problems. It includes the design, analysis research methodology used and the findings the market study during the research. In the design of solar UPS there are mainly two parts they are solar panel and specially designed inverter circuit. The inverter circuit has been designed on the basis of solar panel. The paper provides study of possibilities of design and functionality of a solar powered UPS. Main purpose of using solar UPS is having high efficiency and also a successful alternate to electrical UPSs in the market. There are two main components in the design: an outdoor solar panel comprising of solar cells. Which will convert solar energy into electrical energy and inverter that will convert that energy into alternating current to be used for home appliances, solar power and uninterruptible power supply (UPS) are two technologies that are growing rapidly.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Renewable energy, solar panels, battery, inverter, alternating source

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Creative Commons Attribution 4.0 and The Open Definition