Kashif Rizwan

Data and Knowledge Management in Designing Healthcare Information Systems

evolution in information and communication technologies has transformed the information management structure in almost all the organizations. It has had a great impact on healthcare organizations by improving health services and management by integrating technology with the knowledge management infrastructure. The healthcare industry is a knowledge-based community and is connected to hospitals, physicians, patients, laboratories, pharmaceuticals, clinics, pharmacies, and customers for sharing knowledge. A knowledge-based healthcare industry can improve the quality of care and service given to its people and also reduces the administrative cost. The objective of this research is to present and describe the knowledge management capabilities, the technical infrastructure, and the decision support architecture for such a healthcare management system. It envisions a healthcare knowledge management system (HKMS) that would help to integrate important components, disseminate knowledge to the respective users and to store historical data in a database. This will immensely help the managers and developers to identify their IT needs and to plan for and develop the technical infrastructure of the health care management system for their organizations.

Fuzzy-temporal database ontology and relational database model

This paper presents ontology for temporal and fuzzy information representation in the context of relational database environment. Temporal information has its own semantics and there are approaches to deal with representation of temporal data in different database environments. Temporal data may not be precise or crisp in nature, there is an element of imprecision or vagueness in representing temporal attributes. This paper proposes general model for temporal and fuzzy ontology for building fuzzy-temporal database schema with illustrations.

A Generic Approach for Team Selection in Multi–player Games using Genetic Algorithm

This paper presents a solution to this problem with the help of genetic algorithm to find the optimal solution for the problem of cricket team selection and formation. Our approach is the combination of the existing quantitative approaches with some new extensions such as attributes regarding personal performances, team performance and the combination of players. Secondly our method is just not specific for cricket team but it is converted to generic model for other multiplayer games. We propose an adaptation of island genetic algorithm to optimize the selection of multiplayer sports team having multiple conflicting constraints with mixed crossover where the fitness of common solution is used to drive the selection.

A Review and Classification of Energy Efficient MAC Protocols for Underwater Wireless Sensor Network

Underwater wireless sensor network is an emerging wireless networking technology (UWSN). UWSN has various applications for example it can be used for monitoring seismic activities, underwater animal, pipeline etc. UWSN face challenges in their MAC later operations. Different energy efficient MAC protocols have been proposed for underwater wireless sensor networks (UWSN) to overcome the problem of propagation delays which is inherent in underwater acoustic networks. In this paper, we study the energy efficient MAC protocols including EE-MACU, R-MAC and T-Lohi. We classify UWSN MAC protocols into two broad categories contention free and contention based and we further categorize contention based protocol. We analyze and compare key UWSN MAC protocols based on certain parameters and suggest their suitability in various scenarios.

Augmented Reality Based Spelling Assistance to Dysgraphia Students

Dysgraphia, a learning disability associated with writing skills, hinders students to put their thought on paper and write correctly. Writing problems hit students most frequently that one third students become failed to acquire writing skill. Different IT based assistance solutions available for dysgraphia students but most of them are accommodations based or provides writing alternatives rather than developing writing skills of a dysgraphia student. Handwriting is an essential skill for academic life and developed handwriting skill helps student to protect their self-esteem and build student’s confidence to participate in other activities during class. Most of available writing assistance solutions do not provide interesting ways to acquire writing skills. To handle this problem, augmented reality (AR) based dysgraphia assistance solution has presented in this work. This study utilized AR to develop dysgraphia student’s interest in writing and used it to assist in writing activity by providing help in spellings. AR based dysgraphia assistance writing environment (AR-DAWE) modal use Google cloud API of speech-to-text and addressed one of the important issues of dysgraphia student that is associated with spelling mistakes.