A NOVEL ON-DEMAND STORAGE SPACE ENHANCEMENT APPROACH FOR SOLVING SMART PHONE MEMORY CRUNCH
Published In: 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND ELECTRICAL TECHNOLOGY
Author(s): PARVATHI B , SARSIJ KAYSTHA , SHYJUMON N
Abstract: The paper present a method/apparatus to solve the memory crunch situations which are present and probably arise during the software upgrades of the smart phones. The present date smart phones (Android based) are using the open source ext4 file system and our method is working on top of the same by utilizing the existing utilities of the ext4 file system. The approach can be utilized in two modes and the underlying approach is same for both modes. For making the method/apparatus we are using the re-sizing of the file system partitions and the updation of the partition table. This approach has scope for even changing the entire partition layout of the smart phone device. We also developed the algorithm to manage the partitions and we also addressed the potential problems during the power on/off scenarios. This approach gives easiness in user mode and mission possible in software upgrade mode. This is not restricted to smart phones, but can extend to the any system runs with Linux as OS
- Publication Date: 27-Nov-2016
- DOI: 10.15224/978-1-63248-109-2-14
- Views: 0
- Downloads: 0
DIGITALIZATION OF MEDICAL QUESTIONNAIRES CONSTRACTION OF THE MEDICAL QUESTIONNAIRE RECOGNITION SYSTEM AND THE RELEVANT ALGORITHMS.
Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND ELECTRICAL TECHNOLOGY
Author(s): CARLISLE ST MARTIN , KOICHI UDO , SHOKO OTSUKA , YOSHITAKA NAKANISHI , YUJI KURAMOTO
Abstract: Digitalizing medical questionnaires to process important clinical data can greatly contribute to the field of medicine by allowing medical practitioners to do direct statistical analyses on patient responses. The aim is to construct a system at various medical facilities where the answer sheets to medical questionnaires can be digitalized and the responses scanned and used for clinical analysis. A demonstration of this system has been conducted at the hospital. The hypothesis is that the system will have a readability rate of greater than 95% after improvements have been made to both the set-up and to the algorithm. This study demonstrated that it is possible to digitalize the answer sheet to the medical questionnaire. Moreover, constructing the system is inexpensive and isn’t negatively affected by the kind of electronic medical record storage system used. In addition, due to the improvements made to the recognition algorithm, readability is higher, and the system doesn’t increase the
- Publication Date: 12-Apr-2016
- DOI: 10.15224/978-1-63248-109-2-15
- Views: 0
- Downloads: 0