123 research outputs found

    Design and implementation of a Low Power Mixer-first Receiver for IEEE 802.11ah standard

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    IoT refers to a network of connected devices that exchange data for different applications using different wireless standards such as Cellular, ZigBee, Bluetooth, Mesh Networks, and the widely used WiFi. For IoT applications that do not require high data rates but require long-range data transmission and low power operation, a sub 1GHz WiFi standard - 802.11ah - was introduced. This thesis focuses on implementing a low power receiver design for IoT application. A reconfigurable zero-IF (ZIF)/ low-IF (LIF) architecture is designed to support the 802.11ah specifications. In the implemented SAW-less receiver design, the input RF signal is directly downconverted by mixing operation to baseband frequencies by current-mode passive mixers. The baseband provides the required selectivity and sensitivity of the system. The receiver provides a 24 – 44 dB programmable gain across 1,2,4 MHz bandwidth. It supports an ACR/NACR of 17 dB/32 dB with an overall power consumption of 4 mW at 6 dB NF. The designed receiver is implemented in TSMC 40 nm and is in the fabrication process

    Fuzzy Based Landsman Converter For Pumping Application

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    Fuzzy controlled landsman converter employed for pumping application is presented here. Landsman converter(LC) is designed using voltage multiplier cell which makes the converter from reduced switching voltages. The controller is designed with Fuzzy logic to derive constant voltage output irrespective of variation of input of the converter. The input to the converter is fed from solar panel(250W). The DC output voltage of converter is fed to the electrical machine to run for different pumping applications. The design of controller and converter is analyzed using MATLAB

    CDI Patient Mortality Pathways

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    "There is no viable system that is available or followed that enables healthcare providers to predict upon diagnosis whether a patient with Clostridium difficile (C.diff or CDI) infection is at a higher risk of mortality and would need advanced treatment at an earlier stage. Research has shown that most patients that die after diagnosis of CDI are highly probable to do so within 30 days of their infection diagnosis. This study tries to identify patterns patients experience that indicate their risk of mortality after contraction of CDI. It investigates the presence of a correlation between patients that die within 30 days of their CDI diagnosis and other combinations of attributes [pathways] they possess. In this context, the term pathway denotes the accumulated effect of all attributes on a patient by patient basis. Using CDI diagnosed patients’ attributes, pathways of CDI patients that died within 30 days of infection diagnosis were compared against pathways of non-CDI patients that died after possessing other comorbidities on the Charlson Comorbidity Scoring Index. Outcomes include observation of particular patterns within the pathways CDI patients that died within 30 days of infection diagnosis take that is not found within pathways of non-CDI patients that died after having had other comorbidities. Understanding this pattern of patient attributes may help healthcare providers flag future CDI patients for high risk of mortality in the case patients exhibit similar pathway patterns, resulting in effective treatment methods at initial stages and reduced instances of mortality after CDI."Information and Logistics Technology, Department ofHonors Colleg

    Influence of Blackgram Flour on Pasta Processing

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    This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page

    Dermal Manifestations Among Obese and Normal Individuals Visiting Dermatology OPD of Tertiary Care Hospital–Analytical Cross-Sectional Study

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    Background: Obesityis considered one of the major healthproblems inthe world and acts as a risk factor for many diseases, including dermatological problems. Research on skin diseases affecting obese patients is scarce.Aims: Here, we aimed to determine the dermal manifestations in obese patients compared with the controls.Methods: The present cross-sectional study was carried for 12 months from December 2019 to 2020 on 200 adults who were divided into two groups; the study group(100) and the control group (100). A detailed clinical examination was done, including weight, height, body mass index (BMI), blood pressure, waist circumference, and demographic data. A thorough dermatological examination was also done, and all the information was recorded in a proforma and was analyzed using the coGuide, considering p value <0.05 as significant.Results: The mean BMI in the obese patients and the control group was 34.64±4.37 kg/m2 and 22.23±1.3 kg/m, respectively. The mean difference of age between the study group(43.07±8.35) and the control group (42.02±11.89) was statistically not significant (p value 0.471). The difference in skin manifestations like acanthosis nigricans,acrochordons, keratosis pilaris, plantar hyperkeratosis, striae distensae, bacterial folliculitis, etc., was found to be a significant p value of <0.005 for the obese group than the control group.Conclusion: The findings of the present study suggested a high prevalence of dermal manifestations in the obese group than controls
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