Journal of Computer Sciences and Applications

In heterogeneous multiple query processing environments, usually the query processors depend upon estimated database cardinalities when evaluating the cost of the query plans. In this paper it is being projected to retrieve query plans along with their costs and fitness values by applying join selectivity techniques for relations used in query processing by applying genetic algorithm techniques. It has also been aimed to see that whether the evaluation of selectivity factor of sub query operation may be feasible and may reduce the total query cost.

Journal of Computer Sciences and Applications. 2015, 3(1), 18-22. DOI: 10.12691/jcsa-3-1-3
Pub. Date: March 24, 2015

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A Framework for Intelligent Remote Blood Pressure Monitoring and Control System for Developing Countries

by OBAHIAGBON KINGSLEY and ODIGIE BENISON B

Original Research

High Blood Pressure (HBP) or hypertension is the major cause of adult mortality across the globe. Developing countries are the most hit of this death toll due to poor medical practices, lack of medical expertise and unreliable Electronic Medical Information (EMR) systems for citizens. Due to the increasing prevalence of HBP related issues, became necessary to continue to seek out for effective methodologies that would facilitate the diagnosis, prevention, monitoring, and treatment of HBP intelligently and to put under control its associated diseases. This paper presents a flexible framework for improving the existing processes for collecting vital signs required for the management of HBP through remote telemonitoring. It is a study that leverage wireless communications and remote sensing technologies to monitor and manage health related vital signs of patients with HBP and also to afford health care providers with necessary information for the treatment of patient with HBP and its associated chronic diseases like diabetes mellitus, chronic heart failure and chronic obstructive pulmonary disease (COPD). The result of the framework is a software model tested on windows mobile 5.0 emulator, Nokia 5200 handset and a backend web application with i-net clear report support for reporting various decision parameters to hospital medical experts and providing counseling and advisory supports on healthy living for the remote patient. The paper concluded that this platform will provide an avenue to accelerate quality health care delivery to the hinterlands where telecommunication advancement using wireless devices can reach.

Journal of Computer Sciences and Applications. 2015, 3(1), 11-17. DOI: 10.12691/jcsa-3-1-2
Pub. Date: March 05, 2015

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Self-Learning of Feature Regions for Image Recognition

by Satoru Yokota, Jiang Li, Yuichi Ogishima, Hiromasa Kubo, Hakaru Tamukoh and Masatoshi Sekine

Original Research

Mobile systems are used in various environments. Thus, it is practical for image recognition systems to autonomously learn template images that are adaptive to objects in their various environments. However, learning the features of such objects requires large-scale computation and complex control. Hence, we propose an image recognition system that selects and learns regions that have a given object's features. This system is designed as a hardware/software (hw/sw) complex system with the multi-dimensional field programmable gate array (FPGA) “Vocalise.” This study discusses the possibility of dynamically building image databases and of real-time learning using the proposed image recognition system. Results indicate that the learning speed of the proposed method is estimated to be 1.4 × 10³ faster than that obtained with a conventional software method. This suggests the possibility of real-time learning.

Journal of Computer Sciences and Applications. 2015, 3(1), 1-10. DOI: 10.12691/jcsa-3-1-1
Pub. Date: January 29, 2015

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