A novel photosensitive tunneling transistor for near infrared sensing applications- design, modeling, and simulation
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Optical Current Transformer is an alternative to the existing conventional current transformers, providing an advanced measurement solution for both metering and protection applications, based on a cutting-edge patented optical sensing technology.
UV-VIS SPECTRO final.ppt
The document discusses UV-VIS spectroscopy. It introduces the technique, including principles such as the Beer-Lambert law. It describes the components of a spectrophotometer and various modes of analysis including quantitative analysis, kinetics measurements, and multi-component analysis. It also covers topics like method development and validation, including calibration procedures to control absorbance, limit stray light, and ensure proper resolution. The document provides an overview of the fundamentals and applications of UV-VIS spectroscopy.
UNDERWATER ACOUSTIC MODEM FOR SHORT –RANGE SENSOR NETWORKS
This document describes the design of an underwater acoustic modem for short-range sensor networks. It discusses the challenges of underwater acoustic communication and outlines the major components of acoustic modems, including transducers, analog transceivers, and digital control platforms. The document then provides details on the design of an amplitude-shift keying acoustic modem, including the transmitter, receiver, and testing results. It concludes that the designed modem represents a low-cost alternative to existing commercial underwater acoustic modems.
Micro-strip Antennas.pdf
Micro-strip antennas consist of a conducting patch on a dielectric substrate backed by a ground plane. They are inexpensive to produce and can be fabricated using printed circuit board technology. The patch shape is typically rectangular and can be analyzed using transmission line models. Key design considerations include the effective dielectric constant which influences the resonant frequency, as well as fringing effects along the patch edges which affect the patch length. A common design procedure specifies the resonant frequency, substrate properties, and calculates the appropriate patch dimensions.
A novel model of rf mems shunt switch
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
IRJET- Compressed Sensing based Modified Orthogonal Matching Pursuit in DTTV ...
This document discusses a modified orthogonal matching pursuit algorithm used for channel estimation in digital terrestrial television systems. It proposes using compressed sensing based channel estimation at the receiver to eliminate sparse information. Thresholding is used to remove noise from the channel estimation and improve signal quality. Simulation results show that bit error rate decreases when the received signal power from different transmitters is almost equal.
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Luigi Giubbolini | Time/Space-Probing Interferometer for Plasma Diagnostics
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Design of a low voltage low-dropout regulator
This document outlines the sections and contents for a project report on designing a low-voltage low-dropout regulator. It includes sections for an abstract, introduction, literature survey, existing and proposed systems, advantages, requirements, diagrams, implementation, testing, conclusions, and references. Contact information and course offerings are also provided for i3e Technologies.
An efficient constant multiplier architecture based on vertical horizontal bi...
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Aging aware reliable multiplier design with adaptive hold logic
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A high performance fir filter architecture for fixed and reconfigurable appli...
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A generalized algorithm and reconfigurable architecture for efficient and sca...
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A combined sdc sdf architecture for normal i o pipelined radix-2 fft
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Reverse converter design via parallel prefix adders novel components, method...
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Pre encoded multipliers based on non-redundant radix-4 signed-digit encoding
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Energy optimized subthreshold vlsi logic family with unbalanced pull up down ...
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Variable form carrier-based pwm for boost-voltage motor driver with a charge-...
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Ultrasparse ac link converters
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Single inductor dual-output buck–boost power factor correction converter
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Ripple minimization through harmonic elimination in asymmetric interleaved mu...
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Resonance analysis and soft switching design of isolated boost converter with...
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Reliability evaluation of conventional and interleaved dc–dc boost converters
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Power factor corrected zeta converter based improved power quality switched m...
The document describes a proposed switched mode power supply (SMPS) system that uses a front-end power factor corrected Zeta converter to improve power quality. The front-end converter reduces 100-Hz ripple and improves power factor and voltage regulation. Simulation and testing of a laboratory prototype showed the proposed SMPS enhanced performance under varying input voltages and loading conditions, meeting international power quality standards.
Pfc cuk converter fed bldc motor drive
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Optimized operation of current fed dual active bridge dc dc converter for pv ...
This document discusses optimized operation of a current-fed dual active bridge DC-DC converter for photovoltaic applications. It analyzes the operating principle and soft-switching conditions over a wide operating range with phase shift and duty cycle control. An optimized operating mode is proposed to achieve minimum RMS transformer current and extend the soft-switching region to reduce losses. Experimental results from a 5 kW hardware prototype verify the analysis. Contact and location information is also provided for an organization that develops IEEE software and hardware projects.
Online variable topology type photovoltaic grid-connected inverter
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An efficient constant multiplier architecture based on vertical horizontal bi...
An efficient constant multiplier architecture based on vertical horizontal bi...
Aging aware reliable multiplier design with adaptive hold logic
Aging aware reliable multiplier design with adaptive hold logic
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A high performance fir filter architecture for fixed and reconfigurable appli...
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A combined sdc sdf architecture for normal i o pipelined radix-2 fft
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Reverse converter design via parallel prefix adders novel components, method...
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Resonance analysis and soft switching design of isolated boost converter with...
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Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
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- Steps:
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- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
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- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
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Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
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the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
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Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
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Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
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The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
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Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
A novel photosensitive tunneling transistor for near infrared sensing applications- design, modeling, and simulation
- 1. A NOVEL PHOTOSENSITIVE TUNNELING TRANSISTOR FOR NEAR-INFRARED SENSING APPLICATIONS: DESIGN, MODELING, AND SIMULATION ABSTRACT: In this paper, a novel device structure, operating On the principle of band-to-band tunneling, has been designed For near-infrared (1–1.5 μm) multispectral optical sensing applications. A drain current model based on line tunneling approach Has been developed to illustrate the device operation. The results Of the model are compared with the simulated data for devicesWith similar dimension and structure, indicating good accuracy Of the developed model. Spectral response of the device is studied By estimating the relative values of its transfer—as well as Output—characteristics, and also by measuring the variation of Threshold voltage, vt and on-state current, ion. Vt and ion are Found to be sensitive to wavelength variations at moderate gate Doping levels. Vt is found to increase by ∼40 mv and ion Decreases by 35% for a change of illumination wavelength From 1 to 1.5 μm at a gate doping of 1 × 1018 cm−3. Peak Spectral sensitivity at an illumination intensity of 0.75 w/cm2 Is found to be 318.38, 2.02 × 103, and 672.2 corresponding to The change in wavelength from (1–1.2 μm), (1.2–1.45 μm), and (1.45– 1.5 μm), respectively.