by Lidong Wang and Cheryl Ann Alexander
Original Research
Big Data analytics has been used in biometric systems and healthcare. Biometrics is a powerful tool used in healthcare for identification, insurance, and management, etc. There are many computational resources on the cloud, which makes the cloud a strong platform for biometric systems, healthcare systems, and Big Data analytics. Big data, Big Data analytics, and general information security and privacy in big data are presented in this paper. Cloud computing in biometric systems, Big Data analytics in biometrics, and Big Data analytics in healthcare are also presented. The challenges of biometric data on the cloud and the challenges of Big Data analytics in healthcare are discussed.
Journal of Computer Sciences and Applications. 2018, 6(1), 48-55. DOI: 10.12691/jcsa-6-1-7
Pub. Date: June 04, 2018
30993 Views20611 Downloads46 Likes
by Kevin Berisso
Original Research
The DotCode bar code symbology is relatively new, having been developed by Dr. Andrew Longacre in 2007. As a result of standards organization work being done on the symbology, it was determined that valid encoding patterns could result in symbols that could not be decoded by the current reference decode algorithm. A solution for resolving the issue involved the introduction of intentional errors that rely on the correct functioning of the Reed-Solomon Error Correction (RSEC) to resolve the original message. However, the actual impacts of such a decision were publicly unknown. This paper has undertaken the task of validating the impacts of intentionally adding additional data bits to the bar code, resulting in the generation of errors in what should otherwise be perfect symbols.
Journal of Computer Sciences and Applications. 2018, 6(1), 43-47. DOI: 10.12691/jcsa-6-1-6
Pub. Date: June 04, 2018
17229 Views2891 Downloads4 Likes
by Robert L. Williams II and Jesus Pagan
Original Research
This paper presents a novel method for effective, economical, energy-efficient algae harvesting from large (1-4 acre) outdoor circulating raceway pond systems: a portable 4-cable-suspended robot. Algae, used as an alternative energy crop to produce biofuels (and other consumer products), still remains too expensive. One of the greatest expenses in processing algae is the harvesting process. To replace the typical energy-intensive pumping of the entire pond water through algae filters, we propose using a cable-suspended robot to collect algae, which largely then drains of water while the robot translates the product to a collection point. An additional benefit of our concept, in additional to lower harvesting cost, is that the algae still growing in the pond is not shocked as in the current pumping process, leading to better, healthier yields. Further, the proposed robot system is portable, capable of harvesting multiple ponds while algae continues to grow.
Journal of Computer Sciences and Applications. 2018, 6(1), 38-42. DOI: 10.12691/jcsa-6-1-5
Pub. Date: June 04, 2018
12945 Views2645 Downloads3 Likes
by Biju Bajracharya and David Hua
Original Research
Image compression methods are used to efficiently reduce the volume of image transmission and storage. Pre-processing of images are done to remove spurious noise or unwanted detail from an image to improve the compression performance. This paper proposes a preprocessing method for image compression based on ±K adjustment to a pixel value that enables high compression ratio without losing visual quality. Visual quality of an image was measured using peak signal to noise ratio (PSNR) as a metric. This method was designed based on mapping table constructed from histogram to identify pixels that hinder high compression ratios. These identified pixels were adjusted by ±k values which yielded higher compression ratios. The designed method had six levels of operations. Higher levels retained most of their original pixel values, thus maintaining higher PSNR values at lower compression ratios. Lower levels achieved higher compression ratios by adjusting more pixels (lower PSNR values). A value of ±1 was used for retaining better original information, while ±2, ±3 and higher were used for higher compression ratios. Preprocessed and non-preprocessed grey scale images were compressed using popular lossless compression algorithms like Deflate, Bzip2, LZWA, and 7zip. Our experimental results show that this method significantly improves compression ratios as compared to compression without preprocessing.
Journal of Computer Sciences and Applications. 2018, 6(1), 32-37. DOI: 10.12691/jcsa-6-1-4
Pub. Date: June 04, 2018
15934 Views2746 Downloads3 Likes
by Shilian Cai
Original Research
It is of great significance for optimizing the allocation of book purchasing funds and guaranteeing the quality of books procured improve the utilization efficiency of library resources as well as the quality of literature service. Based on the circulation data in the library at Beijing University of Civil Engineering and Architecture in the past 10 years, this paper studies the allocation of funds and quality control of books purchased using a neural network model. Firstly, a prediction model with the BP neural network is established based on the circulation data of books in the past to provide necessary reference data for the budget of the book purchasing funds. Then, an RBF neural network model is used to predict the allocation of purchasing funds. Finally, a book purchasing quality analysis system is established through the study of the matching degree between the average professional books of students in each discipline and the average professional books of the students and the correlation coefficient between purchasing and borrowing. This paper provides a clear criterion for judging whether book purchases meet the needs of disciplines and readers' requirements. It also provides a scientific basis for the university library to make a reasonable plan on book purchases.
Journal of Computer Sciences and Applications. 2018, 6(1), 23-31. DOI: 10.12691/jcsa-6-1-3
Pub. Date: June 04, 2018
15326 Views2823 Downloads5 Likes
by Sangho Park
Original Research
Automatic tracking and evaluation of moving-object trajectories is critical in many applications such as performance estimation of mobile robot navigation. Mobile robot is an effective platform for stimulating student motivation at K-12 institutions as well as a good tool for rigorous engineering practices in colleges, universities, and graduate schools. Developing new mobile robot platforms and algorithms requires objective estimation of navigation performance in a quantitative manner. Conventional methods to estimate mobile robot navigation typically rely on manual usage of chronometer to measure the time spent for the completion of a given task or counting the success rate on the task. This paper proposes an alternative; a multi-camera vision system that can automatically track the movement of mobile robot and estimate it in terms of physics-based profiles: position, velocity, and acceleration of the robot in the trajectory with respect to a user-defined world-coordinate system. The proposed vision system runs two synchronized cameras to simultaneously capture and track the movement of the robot at 30 frames per second. The system runs a homography-based projection algorithm that converts the view-dependent appearance of the robot in the camera images to a view-independent orthographic projection mapped on the registered world coordinate system. This enables the human evaluator to view and estimate the robot navigation from a virtual top-down view embedded with the physics-based profiles regardless of the actual cameras’ viewing positions. The proposed system can also be used for other domains including highway traffic monitoring and intelligent video surveillance.
Journal of Computer Sciences and Applications. 2018, 6(1), 17-22. DOI: 10.12691/jcsa-6-1-2
Pub. Date: June 04, 2018
15278 Views2363 Downloads3 Likes
by Thomas Mageto and Daniel Neagu
Original Research
The provision of health care has had great improvement in the recent past as a result of innovation in equipment and technology. In keeping with this achievement, there is need to incorporate Information and Communication Technologies in providing health care services in order to have quality, efficient and secure services. In this study an investigation on the problems with the past and current systems has been done then analysed. This led to designing and developing prototype that would greatly contribute in improving the provision of the health care services. The prototype would manage tasks that include scheduling appointments, processing payments, storage of medical records, provide information and processing orders of medicine products. In reducing the unauthorized access of medical records so as to maintain the privacy of every patient, description of the encryption and accessing of pages security plan for the emerging threats is done. The system would be accessed in local and unlimited networks but in the areas where there are challenges of connectivity, high internet costs and poor infrastructure the offline web service and connect only when the service is required and necessary is preferred. The development methodology adopted in the development process phases of the E-Health system is the iterative development methodology. The pilot implementation of the system include both private and public health medical care institutions in selected counties.
Journal of Computer Sciences and Applications. 2018, 6(1), 1-16. DOI: 10.12691/jcsa-6-1-1
Pub. Date: April 12, 2018
22365 Views2304 Downloads