Volume 1, Issue 5, 2011

By | August 9, 2018

Prototype System for Monitoring and Computing Greenhouse gases 

R. JaichandranA. Anthony Irudhayarj

Abstract: Global warming is not only the problem of the government or  individual organization it is the fundamental problem of every individual.  The main cause for global warming is green house gases (GHG). Monitoring  and computing the greenhouse gases are a major challenging work.  Globally, over the past several decades, human-induced activities like industrial revolution and burning of fossil fuels in power stations, vehicle  transport systems and industries contribute significantly to the emission  and concentration of GHG in atmosphere. Avoiding their usage may reduce  the emission of GHG, but it may not be a practical approach as they are  mandatory in modern day-to-day life, alternatively regular monitoring and  reporting of GHG parameters may create awareness to individuals and  organization for effective and proper use of human induced activities.  There are very few works done in developing embedded systems for  computing GHG. We have implemented a prototype system for sensing and  computing the level of existence of GHG parameters (like CO2, CO,  temperature and humidity) in atmosphere using environmental sensors and  advanced microcontrollers and energy efficient wireless technologies. The  Prototype supports quality in terms of low cost, energy efficiency,  flexibility and user friendliness. Data is collected, consistency models are  define for analyzing the quality of data and the level of GHG in the  deployed environment is computed. The results show that the prototype is  capable for monitoring and computation of GHG in the deployed  environment and can be applied at all levels of organization for creating  awareness, performing scientific studies and to forecast remediation  policies by the authorities to individuals and organization in controlling  GHG parameters. 

Keywords : Wireless sensor network; greenhouse gases; parts per million. 


Offline Arabic Text Recognition – An Overview 

Atallah Mahmoud AL-Shatnawi, Farah Hanna AL-Zawaideh, Safwan AL-Salaimeh, Khairuddin Omar

Abstract: This paper provides and discusses an overview about the offline  Arabic Optical Character Recognition (AOCR) system. It also provides and  discuses the challenges that must be considered in designing or choosing a  cretin method for the AOCR system. Recognition of Arabic characters is  more difficult than Latin or Chinese language .The typical AOCR system  consists of five components: image acquisition, preprocessing,  segmentation, feature extraction and classification (recognition). Each of  those contributes to the final recognition rate to improve of the AOCR. In this paper, the challenges in recognition the Arabic written text are  explained and discussed. As well as, the operations of offline AOCR system  stages are discussed and studied in detail. The operations of AOCR preprocessing stage are also provided and discussed. The AOCR stages  drawbacks and advantages are discussed in details. 

Keywords : Arabic Text; Character recognition; Pre-processing;  Segmentation; Feature Extraction; Classification. 


Improving Semantic Schema Integration 

Zahra Sheikhnajdy, Mehran Mohsenzadeh, Mashalah Abbasi Dezfuli

Abstract:  Schema matching is a critical step in many applications, such as  data warehouse loading, Online Analytical Process (OLAP), Data mining, semantic web and schema integration. This task is defined for finding the  semantic correspondences between elements of two schemas. Recently,  schema matching has found considerable interest in both research and practice. In this paper, some approaches for supporting semantic schema  matching compared and then we suggest three solutions for improving  semantic schema matching problem.  Keywords : schema matching; element level matcher; structural level  matcher; semantic ambiguities; step word; word sense disambiguation. 


Hybrid Technique For Secure Sum Protocol 

Priyanka Jangde, Gajendra Singh Chandel, Durgesh Kumar Mishra

Abstract:  Secure Multiparty Computation (SMC) allows parties to compute  the combine result of their individual data without revealing their data to  others. Secure sum computation is one of the important tool of the SMC.  On SMC many eminent researchers give their protocols especially in secure  sum computation, researchers show their interest. In this paper we provide  unique hybrid protocol for secure sum computation which is the  combination of Ideal and Real Model. This protocol provides zero data  leakage means it is completely secure. If two or more than two parties  including third party (TP) become malicious cannot hack or trace the data  of any other parties, who were participating in this computation. With the  help of Hybrid model we are enhancing the security of the computation and  maintaining the privacy of the data. In this paper, we analyzed the  computational and communicational complexity and found that both the  complexities are O (n). 

Keywords : Secure Multiparty Computation (SMC); Third Party (TP); Secure  Sum Protocol; Hybrid. 


Extending the Real Rime Congestion Control Mechanism for Multicast Applications over 3G Wireless Networks 

Neetu Sharma, Amit Sharma, Vijay Singh Rathore, D.K Mishra

Abstract: In this paper we introduce a real time congestion control  mechanism to multicast the multimedia applications. The key challenge in  the design of this mechanism is to calculate the rate of feedback messages  by various receivers; appropriate feed back suppression, scalable round trip  time measurements & ensuring that feedback delays in the control loop do  not adversely affect fairness towards competing flows. Major contributions  are the feedback mechanism and provide an end-to-end multicast  congestion control schemes. We improve the well-known approach for  multicasting, by using exponentially weighted random timers by biasing  feedback for low-rate receiver and preventing the response implosion. We  evaluate the design using simulation and demonstrate the results for  multicast transmission of multimedia data. 

Keywords : GECM; ROTT; Congestion; ECN; TFMCC; TFRC; RBRC. 


GUI Design Using DLD for All Web Browser Interactions 

Thippeswamy.K, Manjaiah.D.H

Abstract: Tell now we have seen only the use case, collaboration diagrams,  and VLC/UI design process. The main goal of VLC/UI is to display and obtain needed information from the source. Whereas the Low Level Design has not  yet clear for web based interactions. In this paper we proposed a new type  of design using sequence diagram for web based design on browser side. UI  also has to tell us how to complete the interfacing task. Say it uses Apache  as web server to interact between Web-based main GUI on client side. The  application of this concept is applicable to entire web based software  development, Website development. Real time application like banking  maintenance, library maintenance…etc our concept gives more reliable  result.   

Keywords : VLC/UI; ALM-MON; DLD; XSL. 


Practical Approach for Master Data Management 

Chandra Sekhar Bhagi

Abstract: Any organization typically has data on Customers, Financials  (Chart of accounts, profits, Cost), Products, Business Partners (Suppliers,  Distributors), Employees, Locations, Sales Contacts, Physical assets, Claims  or Policies (Insurance). These data items or business entities are referred as Master Data. The process and technology involved in acquiring Master Data  from multiple domains across enterprise and thereby maintaining a single  consistent view is Master Data Management (MDM). MDM is getting  popularity in Health & Life sciences, Medical Device Manufacturing,  Financial Services, Insurance, Manufacturing & Technology, Retail,  Consumer Packaged Goods, Telecommunications, Information services &  Media, Aerospace, Defense and  Government. The current article illustrates  the technical solution to implement enterprise Master Data Management in  domain specific companies. 

Keywords : Master Data Management; Enterprise Master Data Management;  MDM Technical Architecture; MCI; SOA. 


Quantitative Evaluation of Performance and Validity Indices for Clustering the Web Navigational Sessions   

Zahid Ansari, M.F. Azeem, Waseem Ahmed, A.Vinaya Babu

Abstract: Clustering techniques are widely used in “Web Usage Mining” to  capture similar interests and trends among users accessing a Web site. For  this purpose, web access logs generated at a particular web site are preprocessed to discover the user navigational sessions. Clustering  techniques are then applied to group the user session data into user session  clusters, where inter-cluster similarities are minimized while the intra  cluster similarities are maximized. Since the application of different  clustering algorithms generally results in different sets of cluster  formation, it is important to evaluate the performance of these methods in  terms of accuracy and validity of the clusters, and also the time required  to generate them, using appropriate performance measures. This paper  describes various validity and accuracy measures including Dunn’s Index,  Davies Bouldin Index, C Index, Rand Index, Jaccard Index, Silhouette Index,  Fowlkes Mallows and Sum of the Squared Error (SSE). We conducted the  performance evaluation of the following clustering techniques: k-Means, k-Medoids, Leader, Single Link Agglomerative Hierarchical and DBSCAN. These techniques are implemented and tested against the Web user navigational  data. Finally their performance results are presented and compared. 

Keywords : component; web usage mining; clustering techniques, cluster  validity indices, performance evaluation.


Hierarchical and Bayesian Scattered Data Taxonomy in Mobile Ad-hoc Networks 

Sunar Arif Hussain, K.E.Sreenivasa Murthy

Abstract: MANETS promise an unprecedented opportunity to monitor  physical environments via inexpensive wireless embedded devices. Given  the sheer amount of sensed data, efficient taxonomy of them becomes a  critical task in many sensor network applications. The Bayesian classifier is  a fundamental taxonomy technique. We introduce two classifiers: Naive  Bayes and a classifier based on class decomposition using K-means  clustering. We consider two complementary tasks: model computation and  scoring a data set. We study several layouts for tables and several indexing  alternatives. In this paper, we propose a novel decision-tree-based hierarchical scattered  taxonomy approach, in which local classifiers are built by individual sensors  and merged along the routing path forming a spanning tree. The classifiers  are iteratively enhanced by combining strategically generated pseudo data  and new local data, eventually converging to a global classifier for the  whole network. We also introduce some control factors to facilitate the  effectiveness of our approach. Through extensive analysis, we study the  impact of the introduced control factors, and demonstrate that our  approach maintains high taxonomy accuracy with very low storage and  communication overhead. The approach also addresses a critical issue of  heterogeneous data distribution among the sensors. 

Keywords : Scattered Data Storage; Sensor Networks; Key Sharing; Key  Management. 


FPGA Based Design and Implementation of Efficient Video Filter 

Rajesh Mehra, Virendra Arya, Rajpati Yadav

Abstract: In this paper an efficient design and implementation of ITU-R  BT.601 video filter has been presented for digital television receivers.  The  proposed video filter has been realized using MAC algorithm. The  implementation is based on efficient utilization of embedded multipliers  and look up table (LUT) of the target device to improve speed, area  efficiency and power consumption. It is an efficient method because the use of embedded resources not only increases the speed but also saves the  general purpose resources of the target device. The proposed video filter  has been designed and simulated using Matlab, synthesized with Xilinx Synthesis Tool (XST), and implemented on Spartan 3E based 3s500efg320-5  FPGA device. The developed video filter structure can operate at an  estimated frequency of 28.758 MHz by utilizing 12 multipliers and 245 LUTS  of target FPGA device to provide cost effective solution for mobile and  wireless communication systems. 

Keywords-FPGA; ITU-R; LUT; Video Filter; XST.

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