the development of IOT smart devices has necessitated increasingly stringent requirements for DC power sources in terms of output voltage, size, and cost. For instance, Avalanche Photodiodes (APDs), utilized as photod...
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ISBN:
(数字)9798331531171
ISBN:
(纸本)9798331531188
the development of IOT smart devices has necessitated increasingly stringent requirements for DC power sources in terms of output voltage, size, and cost. For instance, Avalanche Photodiodes (APDs), utilized as photodetectors, require a significantly high reverse bias voltage during the detection of feeble optical signals to achieve optimal gain and high signal-to-noise ratio, thereby ensuring exceptional sensitivity. To address the diverse demands of various smart devices for DC power, a high-output DC/DC boost circuit without a step-up transformer has been innovatively designed. this circuit is comprised of four fundamental components: an oscillator circuit, a comparator circuit, a voltage multiplier circuit, and a constant-current and voltage-stabilizing circuit. the paper conducts a comprehensive theoretical analysis of the circuit's topology, parameter selection, and operational process, which is further validated through Multisim simulation. Additionally, a PCB circuit was designed, fabricated, and underwent rigorous practical testing. the test results conclusively demonstrate that the designed boost circuit proficiently provides APDs withthe appropriate bias voltage, eliminating the need for boost transformer. It boasts high output voltage, a simplistic structure, small size, and low cost, enabling it to seamlessly share the same input power source withthe APD detection circuit and be integrated into the same PCB layout.
the human life is always experiencing problems related to health. the survival is difficult if not treated well. For a better recovery, health problems are solved by treatment plans and medications;which are by health...
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the human life is always experiencing problems related to health. the survival is difficult if not treated well. For a better recovery, health problems are solved by treatment plans and medications;which are by health care professional called specialists, doctors or medical practitioners. Whatever these professionals recommend, it is well maintained in the form of reports. the collection of all this record makes Medical Big Data(MBD). Based upon the medical problem, this MBD includes medical history and prescription reports, test reports, X-Ray, CT Scan, and some other types of medical diagnosis. Traditional systems are now improved after the enhancements in telecommunication modes and innovation of smart devices with latest 5 G technology has a huge contribution in every field of science. Regarding health care systems, in developed countries, E-Health and Telemedicine systems being developed to improve the quality of treatment. Such systems have many enhanced features like data management, reliable diagnoses;among them a distinct aspect is load reduction for the patient about data availability and management. Since MBD is increasing for every patient as the time passes and the patient consults again and again. Many schemes with efficient models are proposed to make this MBD available over the network by compression and network management tools. this exponential expansion of MBD has unmitigated the domains of MBD generating sources. In this paper, MBD collection, sources are discussed which ensure directly or indirectly how some domains are responsible to increase MBD more than normal ways.
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