The knowledge management is the key term for exploring the skills and experience for performing the various tasks in education, industry, personals or any type of organizations. It basically shows the strategy to process the further work and generating the innovative ideas for accepting the challenging tasks. The major concepts for performing any work, the knowledge management play an excellent role and execute the ideas without confliction. In this paper, the concept of knowledge management has been described by conceptual approach of information system to generate business strategies in growing ways. Actually, the major problems such as to apply, perform and execute the conceptual working structure and challenges, have been considered here. The concepts and techniques of information system is applied to handle and the tasks in proper way to run the system smoothly. For managing these innovation knowledge, to help the corporate world for performing various areas and related functions in developing their business, have been designed and implemented in applications by the systematic methodology by the information system.
Forced vital (FVC), Forced expiratory volume in one second (FEV1), Forced expiratory ratio (FEV1%), peak expiratory flow (PEF) and mid expiratory flow (MEF 50) were measured in 18 non-miners (mean age 41.56 ? 7.05) and 38 miners (mean age 41.18 ? 7.31) exposed to coal dust in a mine of eastern coal field. The exposed group (miners) have a significantly negative correlation between year of exposure, FVC, FEV1% and PEF than the non-miners. But it is surprising that whenever FEV1correlate with the year of Exposure (working experiences) both miners and non-miners show a significant correlation. Another correlation has been done between lung function parameter and age of the subject. From the result it has been shown that miners have a significant negative correlation than the non-miners except FEV1 values. The results indicate that miners lung function parameter is decreased with the age and year of exposure. The most obvious cause is longitudinal exposure of coal dust.
The quality of software plays an important role in software engineering. Quality of any software is essential for any kind of organizations. Poor quality of software leads to excessive loss of revenue to the organizations. In the last decade several valuable works has been done by so many researchers and tried to appraise the quality of the software. The information and the quality of services are now important factors’ impacting the efficiency and effectiveness of any product and process quality. Various software engineering journals and research papers identifies number of quality models which is used to evaluate the quality of software. Because of that, quality is as a rule captured in a model that shows the characteristics and their relationships. Different organizations use different type of quality models. Selection of a suitable model is a very tedious job Different concepts of quality characteristics are reviewed and discuss in this paper as well as analysis of various quality models used by various organization is being discusses in this paper.
Social network analysis (SNA) is the methodical analysis of social networks. Social network analysis views social relationships in terms of network theory, consisting of nodes representing individual actors within the network) and ties (which represent relationships between the individuals, such as friendship, kinship, organizational position, sexual relationships, etc. These networks are often depicted in a social network diagram, where nodes are represented as points and ties are represented as lines. In this paper we consider the variety of issues, often grouped under term trends detected among communities, implied by the need for accurately describing how information changes over time in Social Networks. These issues can be classified into some topics, namely: Scalability, Heterogeneity, Evolution, Collective Intelligence and Evaluation. After introducing the main concepts and terminology of Social Network Analysis, we separately survey these topics. Finally, we discuss the open research issues also in connection with their implementation on commercial tools.