37 research outputs found
EFFECT OF DIFFERENT DRYING TEMPERATURES ON PREPARATION OF GINGER POWDER
No full textA Thesis
Submitted to Department of Entomology,
Faculty of Agriculture.
Sher-e-Bangla Agricultural University,
Dhaka-
In partial fulfillment of the requirements for the degree of
MASTERS OF SCIENCE (MS)
IN
DEPARTMENT OF HORTICULTUREThe study was conducted in the central laboratory of Sher-e-Bangla Agricultural
University, Dhaka-1207 during October 2021 to February 2023. This study was
conducted by Completely Randomized Design with three replications. For this study
the treatments were: T
0
= Sun dried ginger slices; T
1
= Ginger slice were oven dried at
50℃ temperatures; T
2
= Ginger slice were oven dried at 55℃ temperatures; T
3
= Ginger
slice were oven dried at 60℃ temperatures; and T
4
= Ginger slice were oven dried at
65℃ temperatures. From this study it can be observed that, T
1
showed the best
performance of pH (5.05), Vitamin C (0.14%), moisture content (9.90%), crude protein
(25.43%), crude fat (2.94%) and ash content (7.18%) at 90 days after storage. Treatment
T
1
comprised of ginger slices were oven dried at 50℃ temperatures showed the best
performance in shelf life observation i.e. the shelf life of ginger powder produced by
using 50℃ temperature become high. And the shelf life of sun dried ginger slices and
made them powder was short, i.e. after 60 days of storage firstly it become unable to
consume. From this study it can be concluded that, ginger powder, which was produced
from the oven dried ginger slices at 50℃ temperatures, was the best ginger powder
which can consume after 90 days of storage. Whereas, the ginger powder, which was
produced from the sun dried ginger slices, showed the lowest performance to store for
long time
Modeling of fire smoke movement in multizone garments building using two open source platforms
No full text
Design of a High-Efficiency Class-AB RF Power Amplifier for 3.7–4.2 GHz Band
No full text— Power amplifiers are important in today's
wireless communication systems. This paper describes the
design, tuning, and performance optimization of a class-AB
power amplifier operating in the 3.7 GHz – 4.2 GHz frequency
range with an output power of 40 dBm at a gain of about 10 dB.
A Wolfspeed CGH40010F GaN HEMT transistor, which
operates from DC with a 28V supply, is employed in the
amplifier's design to satisfy the specifications. Using the
transistor nonlinear simulation model created by Cree Inc., an
amplifier is designed and simulated in Keysight Advanced
Design System (ADS) software. Keeping the issues of linearity
and efficiency in mind, the biasing point is chosen for the class
AB configuration. In biasing, the drain current is 48 mA and the
gate-source voltage is -3.05 V. The frequency range for the
design is chosen based on applications. Then, the stability
analysis of the transistor is performed. The simulation results
also show that the transistor becomes broadband stable when a
resistor is added to its input side. Source-pull and load-pull
simulation is used to extract source and load impedances for
optimal power and efficiency. From the perspectives of
efficiency and linearity, the installed PA performs exceptionally
well across the entire frequency range. According to the
simulation, the RF PA's flat gain fluctuated between 8.19 dB and
10.90 dB for the frequency range of 3.7 GHz to 4.2 GHz. At 3.8
GHz, the maximum power added efficiency (PAE) was found to
be 64.52%, while the maximum drain efficiency is simulated to
reach 67.78% at an output power of nearly 40 dBm
Automatic detection of mango ripening stages – An application of information technology to botany
No full textMedLingua: A conceptual framework for a multilingual medical conversational agent
No full textThis study introduces a hybrid model for an advanced medical chatbot addressing crucial healthcare communication challenges. Leveraging a hybrid ML model, the chatbot aims to provide accurate and prompt responses to users' health-related queries. The proposed model will overcome limitations observed in previous medical chatbots by integrating a dual-stemming approach, P-Stemmer and NLTK-Stemmer, accommodating both semitic and non-semitic languages. The system prioritizes the analysis of cognates, identification of symptoms, doctor recommendations, and prescription generation. It integrates an automatic translation module to facilitate a smooth multilingual diagnostic experience. Following the Scrum methodology for agile development, the framework ensures adaptability to evolving research needs and stays current with recent medical discoveries. This groundbreaking idea aims to improve the effectiveness and availability of healthcare services by introducing an intelligent, multilingual chatbot. This technology enables patients to communicate with doctors from diverse linguistic backgrounds through an automated language translation model, eliminating language barriers and extending healthcare access to rural regions worldwide. • A simple but efficient hybrid conceptual model for advancement in smart medical assistance. • This conceptual model can be applied to implement a medical chatbot that can understand multiple languages. • This method can be utilized to address medical chatbot limitations and enhance accuracy in response generation
