In the article development issues of conceptual bases of the establishment of intellectual management system of innovative technoparks are viewed. Creation necessity of technoparks has been indicated, their management features and indicators have been defined. Management mechanisms of technoparks have been clarified. Conceptual model of management of technoparks has been developed. Conceptual structures of management system on the basis of intellectualizing features of management have been offered.

Educational Data Mining (EDM) is one of the crucial application areas of data mining which helps in predicting educational dropout and hence provides timely help to students. In Indian context, predicting educational dropouts is a major problem. By implementing EDM, we can predict the learning habits of the student. At present EDM has not been introduced at higher education level. Due to this we cannot recognize the genuine problems of students during their education. The objective of this analysis is to find the existing gaps in predicting educational dropout and find the missing attributes if any, which my further contribute for better prediction. After that we try to find the best attributes and DM techniques which are frequently used for dropout prediction. Based on the combination of missing attribute and best attribute of student data thus far, a new algorithm can be tested which may overcome the shortcomings of previous work done.

Internet of Things has become a buzzword. It refers to networking of simplest mundane objects not just for human to machine or human to human interactions but for independent thing to thing interaction as well. Such interconnected or smart environment can do wonders but at the same time poses numerous threats to human lives. The ordinary and less powerful objects from day to day life are holding sensitive and private data from humans and trying to transport that through the insecure world of Internet. This new phase of Internet or Internet of Things (IoT) is yet in its infancy and does not have a security support mechanism of its own. The Internet and World Wide Web deal with interconnection of powerful devices like computers or smart phones and are well supported by standard Internet protocols ensuring optimum security and protection. The lightweight versions of the existing Internet protocols are backing the operations of IoT to a large extent but the security needs are not met completely as of yet. Many research organizations and individual researchers are working to make existing protocols and infrastructure applicable in IoT. This paper highlights the threats posed by uncontrolled proliferation of Internet of things and discusses major protocols that have been or that are being designed to overcome the security issues raised by Internet of things.

Customer Relationship Management (CRM) system is used to manage company relations with the existing and prospect customers. Data mining is used in organization for decision making and forecasting of prospective customers. We have studied recent literature related to use of data mining techniques for CRM. Based on review of the contemporary literature, we analyzed different data mining techniques employed in different types of business, corporate sectors and organizations. We illustrated a critical review table which provides the problem addressed, proposed techniques, significance, limitations and suggested possible improvements for each proposed techniques review during this study. The critical review of the data mining techniques which are being used for CRM is provided in this paper.

Fuzzy set, since its advent has played an important role in control systems and many other area of applications. One of such area is the control of autonomous vehicle. There seem to be some difficulty however, for a new timer trying to get a clear picture of the autonomous navigation problem. To this end, this survey presents a panoramic view of the Intelligent Transportation Systems with some few example of the Advance Driver Assistance Systems and a good discussion on the autonomous systems with its eminent problems. More attention was focused on the fuzzy controllers designed for collision avoidance; as its performance has largely simplified and smoothens the collision avoidance process of an autonomous vehicular system.

In this work we present RWARS, a novel recommender system that recommends research work area. So far a number of recommender systems have been developed in the field of e-commerce, e-services, e-library, entertainment, tourism and social networking sites. However, when it comes to the area of education, not much work has been done. So to extend the utility of Recommender systems in the field of education, we have developed RWARS. We have used Cosine similarity and Tanimoto coefficient for developing our system. The aim of this work is to compare the results obtained using each approach to find the most optimal one. Evaluation parameters that have been used are: Mean square error, Root mean square error and Coverage. At present, RWARS is still in its initial phase and its applicability can be further enhanced by converting it into an online system and it surely will prove to be a great boon for young researchers to select the most appropriate research area for them.