Data driven analysis of social capital in Farmer Producer Companies.

The Farmer Producer Company (FPC), a subset of the Farmer Producer Organization (FPO), is an important institutional form designed to organize farmer groups towards better coordinated farming and marketing. In the Indian context, as FPCs have emerged as new forms of members-led agribusiness, their ability to identify prevailing social ties and tap them effectively towards business growth needs to be better understood. Although social capital is studied broadly for its potential to drive organizational performance, it has been poorly researched in farmer collectives such as FPCs.

A novel data-driven visualization of n-dimensional feasible region using interpretable self-organizing maps (iSOM).

Graphical optimization allows solving one or two dimensional optimization problems visually by merely plotting the objective function and constraint function contours. In addition to the discovery of optima, such a visualization-based approach enables understanding and interpretation of design variable and objective behavior with respect to feasibility and optimality, permitting intuitive decision making for designers. However, visualization of optimization problems in higher dimensions is challenging, though it is desirable.

An Automated Approach to Differentiate Drug Resistant Tuberculosis in Chest X-ray Images Using Projection Profiling and Mediastinal Features.

In this study, an attempt has been made to differentiate Drug Resistant Tuberculosis (DR-TB) in chest X-rays using projection profiling and mediastinal features. DR-TB is a condition which is non-responsive to at least one of anti-TB drugs. Mediastinum variations can be considered as significant image biomarkers for detection of DR-TB.

QR code based patient data protection in ECG steganography.

Connected health enables patient centric interventions resulting in better healthcare and hence better living. In order to accomplish this, bio-signals, medical and diagnosis information are shared and accessed by multiple actors and it is important to protect the privacy of patient data. Steganography is widely used to protect patient data by hiding it in the medical information.

Pull out strength calculator for pedicle screws using a surrogate ensemble approach.

Background And Objective: Pedicle screw instrumentation is widely used in the treatment of spinal disorders and deformities. Currently, the surgeon decides the holding power of instrumentation based on the perioperative feeling which is subjective in nature. The objective of the paper is to develop a surrogate model which will predict the pullout strength of pedicle screw based on density, insertion angle, insertion depth and reinsertion.

Steganography in arrhythmic electrocardiogram signal.

Security and privacy of patient data is a vital requirement during exchange/storage of medical information over communication network. Steganography method hides patient data into a cover signal to prevent unauthenticated accesses during data transfer. This study evaluates the performance of ECG steganography to ensure secured transmission of patient data where an abnormal ECG signal is used as cover signal.

Discrete wavelet transform and singular value decomposition based ECG steganography for secured patient information transmission.

ECG Steganography provides secured transmission of secret information such as patient personal information through ECG signals. This paper proposes an approach that uses discrete wavelet transform to decompose signals and singular value decomposition (SVD) to embed the secret information into the decomposed ECG signal. The novelty of the proposed method is to embed the watermark using SVD into the two dimensional (2D) ECG image.