S. V. Patel

A Design of Sensor Web Registry for Wireless Sensor Networks with SOA Approach

Advancements in the MEMS technology, improved deployment strategies and sensor web enablement standards, have facilitated the realisation of pervasive and ubiquitous computing through more and more sensor networks. Research community is straining hard to establish world wide sensor networks that may provide functionalities similar to those available through internet and world wide web. A serious look on the whole scenario reveals the importance of providing a centralised or distributed registry for the fixed and nomadic sensor networks. SOA, the proven technology in the information processing can be very well considered for design and implementation of an efficient Sensor Web Registry. This paper attempts to design such registry by describing the fields needed in such registry and presenting various sensor description webservices which are part of the process or process chain. Further, the Schema and WSDL are also developed for a Sensor Network Description Service. The goal is to evolve a framework which can be utilised by developers to collaboratively work on a huge array of sensor networks and have access to the wider problem domain.

Design of SOA Based Framework for Collaborative Cloud Computing in Wireless Sensor Networks

WSN deployments are growing at a fast rate; however, current WSN architectures and setup do not promote the sharing of data on an inter-WSN basis. Cloud computing has emerged as a promising area to deal with participatory and collaborative data and services, and is envisaged that collaborative cloud computing WSN could be a viable solution for sharing data and services for WSN applications. In this paper, SOA based architecture has been proposed to support collaborating cloud computing in WSN. The architecture consists of layered service stack that has management, information, presentation and communication layers with all required services and repositories. Interactions between WSN, subscribers and other cloud are also presented as sequence diagrams. The proposed framework serves the cloud subscribers with wide range of queries on the data of multiple WSNs through suitable interface to solve large scale problems.

A Review of Requirement Engineering Issues and Challenges in Various Software Development Methods

Requirement Engineering (RE) is a systemic and integrated process of eliciting, elaborating, negotiating, prioritizing, specifying, validating and managing the requirements of a system. The detailed and agreed requirements are documented and specified to serve as the basis for further system development activities. The software industry has moved from traditional software development method to service oriented software development. While many researchers and practitioners have observed issues and challenges in Requirement Engineering phase specific to a software method, very little attention has been given to investigate diversity of issues and challenges of RE in different software development methods under one umbrella. This paper tries to review significant issues and challenges of RE from traditional software development method to recent service oriented software development method. The study unveils that there is a wide scope for developing new approaches and techniques in requirement engineering to resolve problems observed in various SE methods. The review discussion reveals the need of standardization and automation of RE process especially for Service oriented software development. KeywordsEngineering, RE phase, SE methods, traditional software development, service oriented software development, automation of RE

SOA Using AOP for Sensor Web Architecture

Sensor network applications are executed in diverse scenarios, different platforms and in an uncontrolled environment. The data aggregation and then handling the data at the middleware demands an approach to integrate functionalities of various interests from diverse network clusters. So instead of a proprietary solution for individual problems, it is desirable to have a platform independent service oriented architecture. SOA is composed of interactive web services called by client applications. Secured access and use of web services is a primary requirement in these applications. From software engineering point of view, authentication and logging are the cross cutting concerns for the web services. Instead of using conventional object oriented approach for handling concerns in every classs or method, we propose use of Aspect oriented programming paradigm to reduce the code overhead of the system.

A Review of Business Intelligence Techniques for Mild Steel Defect Diagnosis

In this competitive era, manufacturing companies have to focus on the quality of the produced products. The quality of the product produced is affected by many influential parameters during the process. The product once produced with a lower quality then usually ends up with incurring loss in certain terms to the company. Hence, it is extremely important to know the defect causing parameters and perform defect diagnosis. Various techniques like SPC-SQC, Six-Sigma and Kaizen have been used for quality analysis. But since last few years machine learning and data mining is being used for analysis due to advancement in the field and its advantages. This paper conducts an analytical survey of various business intelligence techniques used in for defect diagnosis. The paper concludes with the analytical results as random forest performs the best in terms of performance compared to other techniques and shows the future research scope in this area. Moreover, we find that random forest has not been introduced yet in steel defect diagnosis.

Decentralised clustered and hash based intrusion detection system for wireless sensor networks

Looking at the future of the wireless sensor networks and the applications which are likely to be deployed on it, the security is now becoming an evident feature. Lot many security architectures are proposed, but looking to the energy and memory constraints, the implementation still demands good amount of research. The simpler way seems is, to detect the intruder as early as possible and take the corrective steps for damage control. Here we propose an improved secured hash based IDS strategy using deployment knowledge. This knowledge and strategy can be used to prevent exterior and interior intruders using one way spatial and temporal hash functions.

Hybrid Associative Classification Model for Mild Steel Defect Analysis

Quality of the steel coil manufactured in a steel plant is influenced by several parameters during the manufacturing process. Coiling temperature deviation defect is one of the major issues. This defect causes steels metallurgical properties to diverge in the final product. In order to find the cause of this defect, various parameter values sensed by sensors are stored in database. Many approaches exist to analyze these data in order to find the cause of the defect. This paper presents a novel model HACDC (Hybrid Associative Classification with Distance Correlation) to analyze causality for coiling temperature deviation. Due to the combination of association rule, distance correlation and ensemble techniques we achieve an accuracy of 95 % which is quite better than other approaches. Moreover, to the best of our knowledge, this is the first implementation of random forest algorithm in analyzing steel coil defects.

A Framework for Temporal Information Search and Exploration

Volume of digitized Information is growing drastically on web, digital libraries and other archives. Demand for searching a relevant document or data of specific time period over large amount of data has also increased. Therefore, Time dimension has its own importance in any information domain. Despite of the importance of temporal data available in the document, current search engines and searching techniques provide limited search facilities using date of timestamp or document publication date. Existing retrieval models do not take advantage of temporal expressions embedded into a document. This paper describes our framework to exploit temporal expressions in documents in order to add value to the existing information retrieval systems by providing searches like “before elections 2014,” “after Diwali,” etc., and retrieve relevant documents satisfying temporal expression search criteria.

A Novel Approach to Filter Topic Related Important Terms Within Document

Primary goal of information retrieval system is to retrieve documents relevant to the user query. An advanced IR system should go beyond this. It should be able to retrieve document even if user does not know exact query terms to browse for. For this purpose, identifying important terms of document is very important. In bag of words mechanism, TF/IDF is a measure to give weightage of a term within document and at corpus level. Term frequency gives frequency of a term in a document, and inverse document frequency gives weightage of a term in corpus. Also, there exist query level weightage algorithms. However, these methods are not useful to obtain document’s important terms related to topic or subject of a document when document contains thousands of terms or keywords. Further, all terms do not necessarily represent topic(s) of that document. To address this issue, we have developed a novel algorithm to return most significant subject-related topics of eBook. It makes use of LDA (Latent Dirichlet Allocation) and our earlier work known as AuTopicGen (Automatic Topic Generator) algorithms. These extracted terms will be very useful for automatic document classification as well as ranking.

INDTime: Temporal Tagger––First Step Toward Temporal Information Retrieval

In today’s era, a large amount of digitized information is generated every day. Retrieving information about a specific time period is one of the demands of information retrieval system. Such time-related information can be helpful to add time dimensions in existing information processing and information retrieval systems. In this paper, we represent INDTime, a rule-based system that is aimed to recognize and normalize temporal expressions present within the text document. It is designed to automatically annotate temporal expressions as per TIMEX3 annotation standard. The system has been evaluated on three datasets, one of them is WIKIWAR dataset and the other two are manually annotated datasets. We achieved an average precision of 94.15 %, recall of 92.55 %, and f-measure of 91.37 % on three datasets for recognizing temporal expressions and average precision of 90.95 %, recall of 92.55 %, and f-measure of 91.37 % for normalization.