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Improving Wireless Sensor Network Performance Using  BigData and Clustering Approach

Well-organized big data get together in the densely distributed sensor networks is, therefore, a challenging research area. One of the most effective solutions to address this challenge is to utilize the sink node’s mobility to facilitate the data gathering. While this technique can reduce energy consumption of the sensor nodes, the use of mobile sink presents additional Challenges such as determining the sink node’s trajectory and cluster formation prior to data collection. In this paper, we propose a new mobile sink routing and data gathering method through network clustering based on modified ExpectationMaximization (EM) technique. In addition, we derive an optimal number of clusters to minimize the energy consumption. The effectiveness of our proposal is verified through numerical results.

IAssociation Rule Mining: A Technique for Revolution in  Requirement Analysis

Data mining is the process of extracting interesting, useful and previously unknown information or patterns from large information repositories such as: relational database, data warehouses, XML repository, etc. There are various types of data mining techniques such as association rules, classifications and clustering. Association rule mining is one of the most important and well researched techniques of data mining. Among sets of items in the transaction databases or other data repositories, it seeks interesting correlations, frequent patterns, associations or casual structures. Association Rule Mining is a very potential technique which has the aim to find interesting and useful patterns from the transactional database. It is mainly used in market basket analysis that help to identify patterns of all those items that are purchased together. To denote association with itemsets and their quantities, the Quantitative association mining is used.

Biak Tribal Culture Related Papua Women's  Reproductive Health in Biak Numfor Regency, Papua  Provin

Values and norms that develop in people of Papua tend to discriminate women which can affect the woman health status and may lead to a high rates of maternal and child deaths of Biak tribe in Biak Numfor Regency, Papua Province. This study aims to develop concepts and propositions on women's reproductive health (pregnancy health, healthcare delivery and post-partum health) on Biak tribal culture in Biak Numfor. The research design is qualitative with the ethnometodology approach, symbolic interaction, and Kasper models analogy. Sources of data obtained from informants by interview, observation and documentation. Informants consisted of (1) the macro level, the tribal chief / head of customs, (2) the meso level, the community leaders / traditional leaders, and (3) a micro level, the head of the family / in-laws / parents, informants pregnant women, maternity women informans and informants during childbirth. The results found the concept of loose tribal cultures showed

Modern Construction and Rehabilitation Techniques

The pre-engineered steel building system construction has great advantages to the single storey buildings, practical and efficient alternative to conventional buildings, the System representing one central model within multiple disciplines. Preengineered building creates and maintains in real time multidimensional, data rich views through a project support is currently being implemented by Staad pro software packages for design and engineering.

Dual Band Edge Serrated Microstrip Antenna on FR4  Substrate for L & S Band Applications

With the advancements in optical and satellite communications for high speed long range data transmissions, serrated antennas plays a vital role. In this work we have designed a Edge Serrated Microstrip Patch antenna used for these applications has been modeled on FR4 substrate as a dielectric medium which has a relative permittivity value of 4.4. The proposed antenna was resonating at two different frequencies in L & S band Microwave frequency ranges. This antenna was fed with coaxial feeding and was designed in a software HFSS.

Material Selection for Computer Aided Design Software  for Crankshaft Design

A crankshaft contains two or more centrally-located coaxial cylindrical ("main") journals and one or more offset cylindrical crankpin ("rod") journals. The design of the Crankshaft considers the dynamic loading and the optimization an lead to a shaft diameter satisfying the requirements of Automobile’s specifications with cost and size effectiveness. Microsoft visual studio package was used in the development of this software, which is capable of designing the shaft with reference to its easy interface, being an open system and its ease of file formats acceptability. It was used during the entire cycle of this software development (analysis phase, design phase and implementation phase).

Optimizing the relevancy of Predictions using Machine  Learning and NLP of Search Query

- One of the most important and promising branches of Artificial Intelligence (AI) is Machine Learning (ML),which strive to make a machine intelligent by “learning” from the data. Information Retrieval is also a popular and predominant technique having as one of its application, the ubiquitous Search Engine. Search Engine optimization (SEO) has seen remarkable advancements during the recent years. The objective of this paper is to optimize the existing predictive search mechanism by incorporating pattern based Machine Learning techniques, the association with a Semantic Database, Natural Language Processing of search query to produce more relevant predictions to the user. The main intention is to provide diversified but apt, intelligent predictions for both the diversified set of users whose domain of search queries is not constrained, as well as for the dedicated researchers whose domain will be confined, coupled with an optimal balance between the Response times, Relev

Consumer Mailing Lists
by Consumerbase 0 Comments favorite 8 Viewed Download 0 Times

Exact Data sources consumer data from national database with approximately 210 million names, postal addresses, and telephone numbers, with approximately 700 selects, originating from over 2,000 different sources. Exact Data overlays its permission compliant, opt-in email address database from over 100 sources on that national database, to make what we believe is the best, most accurate and up to date multi-channel consumer database on the market. The database is compared to the USPS National Change of Address file every 60-days, and updated as necessary. And 15 to 20 million new email addresses are acquired each month, a rigorous, proprietary hygiene process is performed, and approximately 10%, or 1.5 to 2.0 million new email addresses, are appended to the national database.

Proximate and Mineral composition of Some Traditional  Vegetables in Akwa Ibom State, Nigeria.

This research work was carried out to investigate the proximate and mineral composition of some traditional vegetables in Akwa Ibom State, Nigeria. These vegetables include: Talinum triangulare, Hensia crinita, Cucurbita maxima and Lasianthera africana. The vegetables were washed in potable water to remove unwanted matters and were analyzed for proximate and mineral content. All analyses were carried out in three replicates and the mean data were presented on tables using the spread sheet Microsoft Excel. Talinum triangulare had the highest protein content (56.72%) and moisture content (80.11%) but had the lowest content of ash (6.31%), crude fibre (2.96%) and carbohydrate (6.91%). Ash and crude fibre were present in low quantities in Talinum triangulare, Hensia crinita, and Lasianthera africana, except Cucurbita maxima which had the highest composition of ash (14.06%) and crude fibre (9.37%). Mineral composition (Potassium (K), Calcium (Ca), Magnesium (Mg) and

Automatic Template Extraction from Heterogeneous  Web Pages

- In this paper, we will enlist the process of extracting template from heterogeneous Web Pages. Extracting structured information from semi-structured machine readable web pages automatically plays a major role these days, so some websites are using common templates with contents to populate the data for good productivity, Where WWW is the major resource for extracting the information. The problem here is for machines, the templates in the web pages are considered to be harmful since they degrade the performance of web applications due to irrelevant terms in the Template. As a result, the performance of the entire system degrades. Template Detection technique can be used to improve the performance of search engine as well as for classification of web documents. In this paper, we present algorithms to extract templates from a very large number of web pages that are getting generated from heterogeneous templates. Using the similarity of template structures in the documen

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