1. A Brief Study of Medical Expert Systems

Mamta Tiwari, Lecturer, Department of Computer Application, University Institute of Engineering and Technology, C.S.J.M. University, Kanpur.

Prashant Srivastava, Lecturer, Department of Computer Application, University Institute of Engineering and Technology, C.S.J.M. University, Kanpur.


Expert systems are used extensively in many domains. This paper discusses the use of medical expert systems. There are many applications of medical expert systems for predicting and diagnosing a particular disease. But medical expert systems are now also involved in many other roles in clinical care such as disease prevention, therapy, rehabilitation of the patient after therapy etc. The current paper develops taxonomy for the medical expert systems and briefly discusses three such expert systems.

* Lecturer, Department of Computer Application, University Institute of Engineering and Technology, C.S.J.M. University, Kanpur.

2. Radio Frequency based Identification (RFID)

Saurabh Srivastava (Sr. Software Engineer), SIPL Lucknow
Simab Hasan Rizvi ,HOD of Computer science & Engg., Sevdie Institute Of Management And Technology Lucknow


Radio frequency based identification (RFID) is one of the most exciting and promising technology in the field of automated identification. It is expected to be deployed in a major way in the near future. The major issues for such a deployment are in the design of a robust and flexible software system to interface various applications to the RFID readers. There are a few existing RFID software systems available that fulfill these requirements to a certain extent

3. Data Mining And Its Application In Customer Relationship Management

Pratibha Bajpai, Sr. lecturer, Amity University Lucknow
Ram Gopal Gupta, Sr. Lecturer, SMS Varanasi


Data mining in various forms is becoming a major component of business operations. Almost every business process today involves some form of data mining. Customer Relationship Management, Supply Chain Optimization, Demand Forecasting, Assortment Optimization, Business Intelligence, and Knowledge Management are just some examples of business functions that have been impacted by data mining techniques. Most marketers understand the
value of collecting customer data, but also realize the challenges of leveraging this knowledge to create intelligent, proactive pathways back to the customer. Data mining – technologies and techniques for recognizing and tracking patterns within data – helps businesses sift through layers of seemingly unrelated data for meaningful relationships, where they can anticipate, rather than simply react to, customer needs. This paper provides a business and technological overview of data mining and outlines how, along with sound business processes and complementary technologies, data mining can reinforce and redefine customer relationships.

4. E-Business and E-Commerce: The Next Generation Business Scenario

Udai Bhan Trivedi, Associate Professor and Head ,Institute of Management Studies, Dehradun.U.K


In the emerging global economy, e-commerce and e-business have increasingly become a necessary component of business strategy and a strong catalyst for economic development. The integration of information and communications technology (ICT) in business has revolutionized relationships within organizations and those between and among organizations and individuals. Specifically, the use of ICT in business has enhanced productivity, encouraged greater customer participation, and enabled mass customization, besides reducing costs. Electronic commerce, or simply e-commerce, is changing the way in which banks and consumers interact and transact. E-commerce provides consumers the ability to bank, invest, purchase, distribute, communicate, explore, and research from virtually anywhere an Internet connection can be obtained.
With the explosive growth of the Internet, most e-commerce providers are migrating from proprietary networks and dial-up servers to the Internet in order to capture larger market shares. The World Wide Web, or simply the Web, has become the vehicle of choice for conducting commerce over the Internet because of the user-friendly and rich multi-media interface provided by Web browsers. The key objectives of this paper are:• To elaborate the E-commerce and E-Business and focus on processes which enhances the e business.
• This paper also discusses the Evolution of Commerce and how the market, economics and technological forces are fueling e-commerce.
• E-COMMERCE IN INDIA: Opportunity and Challenges
• What are the Impact of E-Commerce on Business i.e. Business Process reengineering due to transformation of organization from Traditional business model to E-Commerce model and Components of a typical successful e-commerce transaction loop.

5. High Performance Networking with Focus on Packet Scheduling for Intelligence Device

Dr. S. K. Pandey, Reader & Head (CS), IM & CS, NIMS University, Jaipur (Raj)
Jitendra Kumar, Lecturer (CS), IM & CS, NIMS University, Jaipur (Raj)


This paper presents an extended packet scheduling algorithm, using of various packet scheduling algorithms and presents its usefulness. We also have extended DRR into EDRR (Extended Deficit Round Robin).
It considers how to achieve high speed and congestion free network using priority model on a hierarchy of a network domain .This model focuses on packet scheduling by intelligent devices (switches/routers).
It discusses various mechanisms to improve Quality of Services over a network. It assumes a simple model of two level hierarchies. At top of it, is a group domain and at bottom is a user Data domain. Its special feature can be told use of Artificial Intelligence in devising the method to manage different data types. It performs quite differently for different packets.

6. Software Architecture and Software Project Management: A Motivational Study

Himanshu Hora, Assistant Professor, Shri Ram Murti Smarak College of Engineering & Technology, Bareilly
Anand Prakash Dube, Reader, SMS, Varanasi


Software architecture (SA) is considered an dynamic research area nowadays, although it is not a new activity while developing software. Software architecture is a structure symbolized using Architecture Description Languages (ADLs) and graphical diagrams of the system, showing different components and relationships among them. Software Project Management (SPM) pertains to the management and controlling activities involved in Software Development Life Cycle (SDLC) and includes planning, organizing, staffing, leading and controlling the software processes. This paper objective is to identify the motivational factors affecting software architects and software project managers using the survey technique. We have collected results from questionnaire surveys technique which will help software project managers and software architects to understand the factors that can affect the overall quality of the software and its architecture. The last step will be to propose an updated framework for Systematic Literature Review (SLR). This new concept of using Clustering, Genetic Algorithm and Agents in SLR was proposed to produce an effective and optimized query search strings and searches for search engines.

7. Study of significance of Object-oriented Paradigms in Modeling

Sunil Kr Pandey, Institute of Technology & Science, Mohan Nagar, Ghaziabad
Dr. G.P.Singh, Govt. Dungar College, Bikaner, Rajasthan


In Object Oriented Paradigms, Modeling in particular, the application of analysis Models has gained growing interest among academicians, researchers and software analysts in last few years. The major reason behind the their beliefs of advocating analysis Models are to support knowledge reuse and produce more reliable conceptual design at reduced time frame. The purpose of documenting analysis Models is to incarcerate proven expert solutions to recurring business problems. However, the strength of analysis Models is not fully achieved and their reuse is still limited. In this paper, we formally give an overview on the state of Object-oriented modeling using Models. In order to strengthen the groundwork for object oriented analysis Models (OOAP), five future OOAP research directions have been suggested which are establishing theoretical/empirical foundation, proposing appropriate structure, understanding influences on different system analysts, enriching modeling capabilities and suggesting other kinds of measurement.

8. Data Mining and Knowledge Discovery

Alok Singh Chauhan, Research Scholar, Bundelkhand University, Jhansi
Dr. Yashpal Singh, Reader, BIET, Jhansi
and Yogesh Kumar, Guest Faculty, BIET, Jhansi


Data mining and Knowledge discovery promise to play an important role in the way people interact with databases, especially scientific databases where analysis and exploration operations are essential. Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. Knowledge Discovery in Databases (KDD) is the process of automatic discovery of previously unknown patterns, rules, and other regular contents implicitly present in large volumes of data. Data Mining (DM) denotes discovery of patterns in a data set previously prepared in a specific way. DM is often used as a synonym for KDD. However, strictly speaking DM is just a central phase of the entire process of KDD. This paper provides an overview of this emerging field, clarifying how data mining and knowledge discovery in databases are related both to each other. This paper also mentions the process of KDD and typical DM techniques & tasks, particular real-world applications and research challenges involved in real-world applications of knowledge discovery.

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