Psychological status monitoring with Cerebral Blood Fflow: CBF, Electroencephalogram: EEG and Electro-oculogram: EOG measurements are attempted. Through experiments, it is confirmed that the proposed method for psychological status monitoring is valid. It is also found correlations among the amplitudes of peak alpha and beta as well as gamma frequency of EEG signals and EOG as well as cerebral blood flow. Therefore, psychological status can be monitored with either EEG measurements or cerebral blood flow and EOG measurements.

Now a day Cricket is one of the most popular sports around the world. Twenty-20 cricket is the most popular entertaining game in last eight to ten years among different formats of cricket. Indian Premier League (IPL) plays vital role to upturn the status of Twenty-20 cricket. This paper aims to analysis the team performances during first six sessions of IPL in the field of sports Data Mining. The proposed work deals with five different multi-criteria techniques and two group decision analysis in fuzzy environment to handle the imprecise and ambiguous data. The result shows that proposed model yields more realistic way to judge the team’s performance and every time it produces the accurate performance appraisal.

The paper presents a pragmatic approach for e-governance evaluation by constructing a methodology built over two streams of literature i.e. e-governance and evaluation. In the available literature, e-governance evaluation approaches are mostly discussed from only e-governance perspective. The paper will investigate the use of exploiting both streams of literature in designing the e-governance evaluation. The fundamentals concepts from both streams of literature mutually contribute to build an e-governance evaluation framework e.g. e-government development models, e-governance dimensions, delivery models and e-governance evaluation modes are extracted from e-governance streams while evaluation processes and evaluation methods and techniques are adopted from the evaluation stream. The paper presents an e-governance evaluation process spanning five phases (pre-evaluation development, manipulation, action, and outcome utilization).The use of the evaluation literature in e-governance evaluation framework enable the approach result-oriented and pragmatic i.e. outcome utilization phase that is added in the e-governance evaluation process ensures that the evaluation outcomes trigger learning process in the government body and are not dispensed for merely benchmarking.

Tremendous growth of the Web, lack of background knowledge about the Information Retrieval (IR), length of the input query keywords and its ambiguity, Query Recommendation is an important procedure which analyzes the real search intent of the user and recommends set of queries to be used in future to retrieve the relevant and required information. The proposed method recommends the queries by generating frequently accessed queries, rerank the recommended queries and evaluates the recommendation with the help of the ranking measures Normalized Discounted Cumulative Gain (NDCG) and Coefficient of Variance (CV). The proposed strategies are experimentally evaluated using real time American On Line (AOL) search engine query log.

Web services discovery is a crucial process in the service-oriented architecture (SOA). This process depends on the functional and non-functional (Quality of services (QoS)) properties of the published services. Functional properties present the objectives of the service and the quality of the service indicates the performance of the service. Reputation of the services is one of the important QoS properties. Assigning robust and precise reputation values for the service affects positively in the output of the web services discovery process by returning the most relevant services for the consumer. In this paper, we propose an approach for updating reputation of the Web services based on the trust factors of the consumers and two pre-defined thresholds, reputation threshold, and agreement threshold. The proposed approach is implemented and tested on a set of services. The results show that the proposed reputation updating approach is powerful and gives robust and precise results in a dynamic way. As a consequence, the web service discovery process which is based on the proposed approach gives a robust and precise results in a dynamic way.

Cloud computing is a collection of heterogeneous virtualized resources that can be accessed on-demand to service applications. Scheduling large and complex workflows becomes a challenging issue in cloud computing with a requirement that the execution time as well as cost incurred by using a set of heterogeneous cloud resources should be minimizes simultaneously. In this paper, we have extended our previously proposed Bi-Criteria Priority based Particle Swarm Optimization (BPSO) algorithm to schedule workflow tasks over the available cloud resources under given the deadline and budget constraints while considering the confirmed reservation of the resources. The extended heuristic is simulated and comparison is done with state-of-art algorithms. The simulation results show that extended BPSO algorithm also decreases the execution cost of schedule as compared to state-of-art algorithms under the same deadline and budget constraint while considering the exiting load of the resources too.

The healthcare system is a knowledge driven industry which consists of vast and growing volumes of narrative information obtained from discharge summaries/reports, physicians case notes, pathologists as well as radiologists reports. This information is usually stored in unstructured and non-standardized formats in electronic healthcare systems which make it difficult for the systems to understand the information contents of the narrative information. Thus, the access to valuable and meaningful healthcare information for decision making is a challenge. Nevertheless, Natural Language Processing (NLP) techniques have been used to structure narrative information in healthcare. Thus, NLP techniques have the capability to capture unstructured healthcare information, analyze its grammatical structure, determine the meaning of the information and translate the information so that it can be easily understood by the electronic healthcare systems. Consequently, NLP techniques reduce cost as well as improve the quality of healthcare. It is therefore against this background that this paper reviews the NLP techniques used in healthcare, their applications as well as their limitations.

Knowledge management is a challenging task especially in administrative processes with a typical workflow such as higher educational institutions and Universities. We have proposed a system aSPOCMS (An Agent-based Semantic Web for Paperless Office Content Management System) that aims at providing paperless environment for the typical workflows of the universities, which requires ontology based knowledge management to manage the files and documents of various departments and sections of a university.
In Semantic Web, Ontology describes the concepts, relationships among the concepts and properties within their domain. It provides automatic inferring and interoperability between applications which is an appropriate vision for knowledge management. In this paper we discussed, how Semantic Web technology can be utilized in higher educational institution for knowledge representation of various resources and handling the task of administrative processes. This requires exploitation of knowledge of various resources such as department, school, section, file and employee etc. of the University by aSPOCMS which is built as an agent-based system using the ontology for communication between agent, user and for knowledge representation and management.

The notions of basic rough sets introduced by Pawlak as a model of uncertainty, which depends upon a single equivalence relation has been extended in many directions. Over the years, several extensions to this rough set model have been proposed to improve its modeling capabilities. From the granular computing point of view these models are single granulations only. This single granulation model has been extended to multi-granulation set up by taking more than one equivalence relations simultaneously. This led to the notions of optimistic and pessimistic multi-granulation. One direction of extension of the basic rough set model is dependent upon covers of universes instead of partitions and has better modeling power as in many real life scenario objects cannot be grouped into partitions but into covers, which are general notions of partitions. So, multigranulations basing on covers called covering based multi-granulation rough sets (CBMGRS) were introduced. In the literature four types of CBMGRSs have been introduced. The first two types of CBMGRS are based on minimal descriptor and the other two are based on maximal descriptor. In this paper all these four types of CBMGRS are studied from their topological characterizations point of view. It is well known that there are four kinds of basic rough sets from the topological characterisation point of view. We introduce similar characterisation for CBMGRSs and obtained the kinds of the complement, union, and intersection of such sets. These results along with the accuracy measures of CBMGRSs are supposed to be applicable in real life situations. We provide proofs and counter examples as per the necessity of the situations to establish our claims.

Scrum of scrums is an approach used to scale the traditional Scrum methodology to fit for the development of complex and large projects. However, scaling the roles of scrum members brought new challenges especially in distributed and large software projects. This paper describes in details the roles of each scrum member in scrum of scrum to propose a solution to use a dedicated product owner for a team and inclusion of sub-backlog. The main goal of the proposed solution is to optimize the role of product owner for distributed large projects. The proposed changes will increase cohesiveness among scrum teams and it will also eliminate duplication of work. Survey is used as a research design to evaluate the proposed solution. The results are found encouraging supporting the proposed solution. It is anticipated that the proposed solution will help the software companies to scale Scrum methodology effectively for large and complex software projects.