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Efficient Computerized-Tomography Reconstruction Using Low-Cost FPGA-DSP Chip
ELECTRONICS, VOL. 21, NO. 1, JUNE 2017In this paper, filtered back-projection algorithm is optimally implemented using low-cost Spartan 3A-DSP 3400 chip. The optimization enables parallel implementation. The combination of the pixel parallelism and projection parallelism is presented to significantly reduce the total reconstruction time to produce the image. The applied data is presented in fixed point format to achieve efficient implementation with maximum speed. The selection of data bus-width is optimized with very little error and good visual quality required for medical images. Before implementation, the computer tomography (CT) reconstruction simulator is developed to provide a testing reference for the hardware implementation. Using the combination of the pixel parallelism and projection parallelism, the presented hardware design achieves image reconstruction of a 512-by-512 pixel image from 1024 projections in 134.8 ms using 50 MHz clock cycles. It achieves the reduction of the required number of clock cycles to form an image from projections by 60 % comparing to the state of the art of the reconstruction time using field programmable gate array (FPGA) design
A Machine Leaming Technique for MRI Brain Images
This study presents a proposed hybrid
intelligent machine learning technique for
Computer-Aided detection system for automatic detection
of brain tumor through magnetic resonance images. The
technique is based on the following computational
methods; the feedback pulse-coupled neural network for
image segmentation, the discrete wavelet transform for
features extraction, the principal component analysis for
reducing the dimensionality of the wavelet coefficients, and
the feed forward backpropagation neural network to
classify inputs into normal or abnormal. The experiments
were carried out on 101 images consisting of 14 normal
and 87 abnormal (malignant and benign tumors) from a real
human brain MRI dataset. The classification accuracy on
both training and test images is 99 % which was
significantly good. Moreover, The proposed technique
demonstrates its effectiveness compared with the other
machine learning recently published techniques
Efficient microcontroller system to test an SRAM chip using signature analysis
Published in: 2017 13th International Computer Engineering Conference (ICENCO)
Date of Conference: 27-28 Dec. 2017Memory in recent technology is considered an important element in the electronic system. It is required to test the memory for high fault coverage and less test application time. In this paper, the low-cost design of the microcomputer-based testing (MBT) for the static random access memory (SRAM) is presented using signature analysis. The memory test pattern generator (MTPG), the test response compaction based on the signature analysis, the memory under test (MUT), and the memory test controller are considered the main parts of the MBT. The proper selection of the MTPG for stimulating and detecting faults is the target issue. In this paper, all March tests that detect memory faults are considered. The combination of March tests is selected to select the proper MTPG and to detect all current faults of the MUT. Using UD- and LSD March tests with test sequence length, 87n, all possible current memory faults based the MBT are detecte
Introduction to epidemiology / Ray M. Merrill.
pharmacy bookfair2016Includes bibliographical references and index.xix, 339 p. ;Introduction to Epidemiology, Seventh Edition is a comprehensive, reader-friendly introduction to this exciting field. Designed for students with minimal training in the biomedical sciences and statistics, this full color text emphasizes the application of the basic principles of epidemiology according to person, place, and time factors in order to solve current, often unexpected, and serious public health problems.
Students will learn how to identify and describe public health problems, formulate research hypotheses, select appropriate research study designs, manage and analyze epidemiologic data, interpret results, and apply results in preventing and controlling disease and health-related events. Offering real-world examples in the form of case studies and news files in each chapter, Introduction to Epidemiology is an accessible and effective approach to learning epidemiology.
The Seventh Edition is a thorough revision that offers:
Updated tables, figures and examples throughout
Greater emphasis on epidemiology in international settings, causality, and disease transmission
Real-world public health problems involving both infectious and chronic diseases and condition
Future university, Future Journal of Pharmaceutical Sciences, volume 3 issue2, , December 2017
Future Journal of Pharmaceutical Sciences issued under the auspicious of Future University in Egypt. The Journal publishes communications, original research articles, review articles and case studies on all aspects of the pharmaceutical sciences and related clinical subjects that are of interest to all health professionals with strong emphasis on originality and scientific quality. Specifically, the journal publishes original researches in all fields that interest Pharmacists as drug absorption & metabolism, pharmacokinetics & dynamics, drug delivery including gene delivery, drug targeting and nano-technology, Pharmacotherapeutics, community and hospital pharmacy as well as Pharmaceutical and hospital management. The scope will also cover researches in toxicology, cell and molecular biology, biomedical research, basic & clinical and pharmaceutical microbiology, Pharmaceutical biotechnology, medicinal chemistry, Phytochemistry and nutraceuticals.Proceedings of scientific meetings may be published as special issues or supplements to the Journal. Manuscripts submitted to the Journal are only accepted on the understanding that: they are subject to editorial review (generally by two independent referees); they have not been, and will not be, published in whole or in part in any other journal
A supporting tool for requirements change management in distributed agile development
Software development industry has witnessed the growth of the agile movement and approaches. Applying the agile approaches and practices in the distributed environment will lead to gain a lot of benefits such as reduced costs, higher efficiency and better customization, on the other hand it will face many challenges for example working in different time zones, requirements changes, personal selection and knowledge management. In order to gain these benefits, it should address the challenges that will face the agile approaches in a distributed environment. One of the main challenges is managing the requirements changes during the process of distributed agile software development. Only few researches published in the literature, addressed the problem of requirements changes during the development process in distributed agile development. Most of the published researches in this context are based on industrial experiences which increases the need for combining the industry with academia within this area. In this paper an approach to manage requirements changes in distributed agile development is introduced. This suggested approach works to fill the gap between the industry and research in distributed agile development by combining the industrial practice and academic technique. This approach is based on a proposed feature model called a features tree. The approach is associated with a supporting software tool that helps to manage the requirement changes in distributed agile development. The supporting tool is tested and evaluated in real environments by software development professionals using an exhaustive set of criteria, and the results are promising
Molecular diagnosis of Entamoeba spp. versus microscopy in the Great Cairo
Amoebiasis is a human disease produced by Entamoeba histolytica which causes widespread mortality and morbidity worldwide through diarrheal disease and abscess establishment in parenchymal tissues such as liver, lung, and brain. The true prevalence of infection is unknown for most areas of the world due to the difficulty to characterise Entamoeba histolytica versus other non-pathogenic amoebas with identical morphology, as Entamoeba dispar, and Entamoeba moshkovskii. To overcome microscopy misidentification issues, we tested a nested multiplex polymerase chain reaction (PCR) and a real-time PCR on 194 stool samples collected from incoming dysentery patients in Cairo hospitals diagnosed with E. histolytica by microscopy. Nested PCR showed only 20 (10.3%) samples positive to E. histolytica and 17 (8.7%) to E. dispar. The real-time PCR detected only 19 and 11 samples positive to E. histolytica and E. dispar respectively, showing less sensitivity than the nested PCR. The data show that prevalence of E. histolytica in Cairo is lower when specific diagnosis methods are used instead of traditional microscopy, allowing to differentiate between morphologically identical human amoebas species
suspicious object detection
Nowadays, most public or open areas are facilitated with cameras at multiple angles to monitor the security of that area for keeping citizens safe. This is known as the surveillance system. At the moment, the best solution to reach a safe environment requires a human operator tool to monitor the digital camera images. Even though human is arguably the most intelligent creature in this world, there are still some shortcomings in the existing solution. The adaptation growth of security cameras to survey public areas has caused a digital data explosion that human operators have difficulty to keep up with. Because of these shortcomings, humans keep inventing new discoveries to make the best of it. In order to support this surveillance system, a recognition and tracking system is built in this project to be used in public areas such as train stations or airports. We designed and implemented a system which is able to automatically detect abandoned luggage using the captured videos from the surveillance camera as the input of the system. The system applies image segmentation and image tracking techniques, creates blobs of objects, labels the blobs and finally gives a warning when an abandoned luggage is detected
EFFECT OF REPRESSING AND GLAZING ON COLOR REPRODUCTION, TRANSLUCENCY AND SURFACE ROUGHNESS OF LITHIUM DISILICATE GLASS-CERAMICS
Statement of problem: During heat-pressing of lithium dislilicate glass-ceramics, It is more economical to press several restorations from one ingot at the same time. However, this is often not possible and may result in a considerable amount of leftover material (The sprues and button). It has been reported that the leftover materials after heat-pressing are reused (repressed) in some dental laboratories. Sufficient knowledge about the consequences of such procedure is not available. The issue is thereby raised whether the leftover material should be discarded or reused. Materials and Methods: Twenty IPS e.max press discs (Pressed and Repressed groups n=10) of 15mm diameter, 1 mm thickness, in shade A3 were fabricated using heat pressed technique. Only the button parts and not the sprues were used for repressing. Color reproduction and translucency were measured using the Vita Easyshade spectrophotometer. Surface roughness was measured using a 3D laser scanning microscope. Crystalline structure and microstructural features present in pressed, and repressed material were described using Xray diffraction, EDAX and scanning electron microscope
Doctor Appointment Management System (DAMS)
There is nothing in our life that is more valuable than good health. Without health, there is no happiness, no peace and no success. A person with bad health cannot enjoy the pleasure of being wealthy. Health is more valuable than money, Money cannot buy health but a healthy person remains in a state of bliss and happiness.Allam , Yousef
Khalil , Awa