Minimum error probability MIMO-aided relaying: multihop, parallel, and cognitive designs

A design methodology based on the minimum error probability (MEP) framework is proposed for a nonregenerative multiple-input multiple-output (MIMO) relayaided system. We consider the associated cognitive, the parallel and the multi-hop source-relay-destination (SRD) link design based on this MEP framework, including the transmit precoder, the amplify-and-forward (AF) relay matrix and the receiver equalizer matrix of our system. It has been shown in the literature that MEP based communication systems are capable of improving the error probability of other linear counterparts. Our simulation results demonstrate that the proposed scheme indeed achieves a significant BER reduction over the existing linear schemes

Design of Experiments Applied to Industrial Process

Response optimization and exploration are the challenging task in front of experimenter. The cause and effect of input variables on the responses can be found out after doing experiments in proper sequence. Generally relationship between response of interest y and predictor variables x1, x2, x3, … xk is formed after carefully designing of experimentation. For examples y might be biodiesel production from crude ‘Mahua’ and x1, x2 and x3 might be reaction temperature, reaction time and the catalyst feed rate in the process. In the present book chapter, design of experiment is discussed based on predictor variables for conducting experiments with the aim of building relationship between response and variables. Subsequently a case study is also discussed for demonstration of design of experiments for predicting surface roughness in the machining of titanium alloys based on response surface methodology

Cost variation among anxiolytic drugs

Background: Indian pharmaceuticals market stands third and thirteenth largest in terms of value and volume in the Global Pharmaceutical Industry respectively. Anxiety disorders are one of the most common mental illnesses affecting more than 15% of the population at some point in their life span. Treatment of anxiety disorders usually follows a long term treatment. Cost of the treatment is an important factor determining the adherence to the treatment.Methods: Data relevant to various brands of anxiolytic drug available in the Indian market particular drug obtained from “Current Index of Medical Specialties” (CIMS) October 2017 - January 2018 was used to calculate the cost ratio and percentage cost variation.Results: There are 16 anxiolytic drugs in the form of 44 different formulations and 384 brands available in the Indian market. Among anxiolytic drugs, highest cost ratio and percent cost variation is for diazepam 5mg, followed by alprazolam 1mg and hydroxyzine 10mg. Highest number of brands of anxiolytic drugs available in Indian market are for clonazepam 0.5mg followed by alprazolam 0.5mg and escitalopram 10mg.Conclusions: In Indian market, there is availability of large number of brands with wide and variable cost variations among the various brands of the anxiolytic drugs

Visual In-Context Learning for Few-Shot Eczema Segmentation

Automated diagnosis of eczema from digital camera images is crucial for developing applications that allow patients to self-monitor their recovery. An important component of this is the segmentation of eczema region from such images. Current methods for eczema segmentation rely on deep neural networks such as convolutional (CNN)-based U-Net or transformer-based Swin U-Net. While effective, these methods require high volume of annotated data, which can be difficult to obtain. Here, we investigate the capabilities of visual in-context learning that can perform few-shot eczema segmentation with just a handful of examples and without any need for retraining models. Specifically, we propose a strategy for applying in-context learning for eczema segmentation with a generalist vision model called SegGPT. When benchmarked on a dataset of annotated eczema images, we show that SegGPT with just 2 representative example images from the training dataset performs better (mIoU: 36.69) than a CNN U-Net trained on 428 images (mIoU: 32.60). We also discover that using more number of examples for SegGPT may in fact be harmful to its performance. Our result highlights the importance of visual in-context learning in developing faster and better solutions to skin imaging tasks. Our result also paves the way for developing inclusive solutions that can cater to minorities in the demographics who are typically heavily under-represented in the training data

Securely Cloud Data Storage and Sharing

With the increasing adoption of cloud computing, data storage and sharing have be-come integral parts of our digital lives. However, ensuring the security and privacy of data stored in the cloud remains a significant challenge. This paper proposes a novel approach for securely storing and sharing data in the cloud, addressing the vulnerabilities associated with traditional cloud storage models. The proposed approach utilizes advanced cryptographic techniques, including hyperchaotic encryption and hash functions, to protect the confidentiality and integrity of data stored in the cloud. The hyperchaotic encryption algorithm provides a high level of security by introducing chaos-based dynamics into the encryption process, making it resistant to various attacks. Additionally, the hash function ensures the integrity of data by generating unique identifiers for each file stored in the cloud. To enhance data sharing security, the proposed approach employs access control mechanisms and user authentication protocols. Access control rules are enforced to restrict unauthorized access to data, while user authentication ensures that only legitimate users can access and modify the shared data

Design and Performance Analysis of a Rectangular Microstrip Patch Antenna for Wireless Communication at 2.4 GHz

This paper presents the design of a rectangular Microstrip Patch Antenna (MPA) intended for operation at 2.4 GHz frequency, predominantly used in wireless communication. The proposed MPA, designed on an FR4-Epoxy substrate using a microstrip line feeding approach, was simulated using the High-Frequency Structure Simulator (HFSS). The primary metrics evaluated included return loss, gain, Voltage Standing Wave Ratio (VSWR), and half-power beamwidth. The findings revealed an impressive return loss of -25dB and a moderate gain of 1.48 dB at the target frequency. The VSWR value was approximately 1, indicating efficient power transmission with minimal reflections. Furthermore, the antenna exhibited a broad half-power beamwidth of 79 degrees, suggesting its potential for applications requiring extensive signal coverage. This research provides insights into MPA design principles and serves as a foundation for future advancements in wireless communication antenna systems

Phase evolution and high temperature compressive strength of Ti-based alloy developed by micro-plasma powder additive manufacturing

Please click Additional Files below to see the full abstract