2nd International Conference on Advances in Computing, Electronics and Communication

Proceedings of

2nd International Conference on Advances in Computing, Electronics and Communication ACEC 2014

Date

26-Oct-2014

Location

Zurich, west bengal , Switzerland

Authors

2

ISBN

978-1-63248-029-3

2 Articles Published

1. APPLICATION OF MEDICAL INFORMATICS IN ONLINE MEDICAL DATABASE SYSTEM AND INTERNATIONAL MEDICAL CARD USING SINGLE WINDOWS INFORMATION SERVICE SYSTEM IMC-SWISS- A CASE STUDY OF ARCHITECTURE OF ONLINE MEDICAL DATABASE

Authors: JITENDER SOLANKI

Abstract: The medical informatics is a combination of information technology and health care. It deals with the resources, devices, and methods to optimize the acquisition, storage, retrieval and use of information in medical science.It is also known as health informatics.The online medical database system is such a database where all type of health facilities will be stored in online database and this can be access by card. In this paper it proposes the how this card uses for access medical related activities. It is just like ATM card but it deals only health issue. The name of the card is International Medical Card (IMC). It is a application of medical informatics in which all detail of health are stored in the online database and can access by International Medical Card (IMC).

Keywords: nternational medical card, online medical database, Patients, Doctors, Pathology laboratory, Primary key, Foreign

Pages: 1 - 5 | DOI: 10.15224/978-1-63248-029-3-63

2. LOW OVERHEAD CLUSTERING APPROACH FOR LONG LIFETIME OBJECT TRACKING APPLICATIONS

Authors: Y.S. KAVIAN

Abstract: Target tracking is one of the most important applications of wireless sensor networks (WSNs), especially for the urgent event of interest. In this paper we propose a new clustering algorithm beside our accurate prediction mechanism which was proposed previously, that detects and tracks a moving target, and alerts head nodes along the predicted path of the target. The main advantages of proposed clustering algorithms are low transmission overheads with high coverage. Then based on the accuracy of the predictor the best cluster is selected to make more accurate tracking while reducing dramatically the object miss ratio. According to our proposed method in each time instant, only some nodes which, are near to the target and have short distance to the head node, will be selected for tracking and other nodes go to the power saving mode which can strongly reduces the consumed energy

Keywords: Target tracking, Wireless sensor networks, Cliustering, Coverage, energy efficiency.

Pages: 6 - 10 | DOI: 10.15224/978-1-63248-029-3-64