The passage of electric signals throughout the human body produces an electromagnetic field, known as the human biofield, which carries information about a person’s psychological health. The human biofield can be rehabilitated by using healing techniques such as sound therapy and many others in a smart grid. However, psychiatrists and psychologists often face difficulties in clarifying the mental state of a patient in a quantifiable form. Therefore, the objective of this research work was to transform human emotions using sound healing therapy and produce visible results, confirming the transformation. The present research was based on the amalgamation of image processing and machine learning techniques, including a real-time aura-visualization interpretation and an emotion-detection classifier. The experimental results highlight the effectiveness of healing emotions through the aforementioned techniques. The accuracy of the proposed method, specifically, the module combining both emotion and aura, was determined to be ~88%. Additionally, the participants’ feedbacks were recorded and analyzed based on the prediction capability of the proposed module and their overall satisfaction. The participants were strongly satisfied with the prediction capability (~81%) of the proposed module and future recommendations (~84%). The results indicate the positive impact of sound therapy on emotions and the biofield. In the future, experimentation using different therapies and integrating more advanced techniques are anticipated to open new gateways in healthcare.

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Human Emotions Recognition, Analysis and Transformation by the Bioenergy Field in Smart Grid Using Image Processing

The connective tissue or fascia plays key roles in maintaining bodily function and health. The fascia is made up of solid and fluid portions, which interpenetrate and interact with each other, forming a polymorphic three-dimensional network. In the vast panorama of literature there is no univocal thought on the nomenclature and terminology that best represents the concept of fascia. The Foundation of Osteopathic Research and Clinical Endorsement (FORCE) organization brings together various scientific figures in a multidisciplinary perspective. FORCE tries to find a common nomenclature that can be shared, starting from the scientific notions currently available. Knowledge of the fascial continuum should always be at the service of the clinician and never become an exclusive for the presence of copyright, or commodified for the gain of a few. FORCE is a non-profit organization serving all professionals who deal with patient health. The article reviews the concepts of fascia, including some science subjects rarely considered, to gain an understanding of the broader fascial topic, and proposing new concepts, such as the holographic fascia.

https://www.cureus.com/articles/101590-fascial-nomenclature-update-2022.pdf

Fascial Nomenclature: Update 2022

Fake media, also known as the Web of dishonest media, has emerged in a variety of areas of digital culture, including politics, media, and social networks. Due to the frequency with which the media’s credibility is threatened, radical measures are required to prevent further deterioration. IoFMT is becoming more common with today’s artificial intelligence and deep learning developments; however, such concessions to learning may be severely limited. In order to define ownership and integrity of all digital output, it is critical to present evidence of its authenticity. A blockchain is a digital ledger of distributed ledger technology. A promising new decentralized safety platform has been proposed in order to assist in dealing with the problem. In a data-driven environment, fake media’s technical component is crucial although several blockchain-based solutions for authentication have been presented. However, the majority of existing studies are based on irrational post-incident beliefs. This proposal proposes a preventative approach for IoFMT utilizing a blockchain-based solution, the suggested approach also incorporates a weighted-ranking algorithm to identify the truthfulness of misinformation while providing an incentive feature to encourage its dissemination. Although our approach focuses on fake news, the platform can also be used to create other kinds of electronic information. This position applies to a demonstration of the benefits of the solution proposed. 

A Blockchain-Based Expectation Solution for the Internet of Bogus Media

We argue that among denial-of-service (DoS) attacks, link-layer jamming is a more attractive option to attackers than radio jamming is. By exploiting the semantics of the link-layer protocol (aka MAC protocol), an attacker can achieve better efficiency than blindly jamming the radio signals alone. In this paper, we investigate some jamming attacks on S-MAC, the level of effectiveness and efficiency the attacks can potentially achieve, and a countermeasure that can be implemented against one of these attacks.

Link-layer jamming attacks on S-MAC

This year’s exponential growth of digital links has resulted in a rise in cyber strikes, many of which have tragic and severe repercussions. Malware is the most common phenomenon used to achieve malevolent aims on the Internet, whether it is by exploiting new vulnerabilities or experimenting with new technologies and concepts. Customers identify the implementation of more robust and inventive pathogen parasitic breaches as a pressing need. In order to help them (Maxmen in Nature 555(7696):293–294, 2018), we will walk through the most common and easy problems that exist on old platforms, programming, and infrastructure layers. They serve as one of the most viable solutions after criticizing the present state requirements for change. Afterward, we analyze evolving assault techniques in areas such as Facebook, virtualization, mobile devices, and power grids. Finally, we discuss our hypothesis. We make a few observations regarding potential key findings coming up. 

Cybersecurity and Ethics for IoT System: A Massive Analysis

Energy is associated with anything and everything around us and can be transferred, transformed but cannot be destroyed. Many existing theories in physics like quantum physics, metaphysics, and electromagnetism give rise to the thought for the existence of an invisible field of bio-energy, in living things. Every living being, at its atomic level, absorbs and releases a good amount of energy, which is not visible through normal eyes but observable to measure through other means. The mentioned energy layer is known as Human Bio-field. Additionally, various studies also clear that measures of such energies can give deeper insights of our wellbeing and health. It also reflect thoughts, emotions, and inter-physiologic, which may affect the functioning of the human body. This article shows the results of the proposed algorithm for the visualisation of human bio-field. Further, the performance of the proposed work is evaluated in terms of accuracy by using existing methods.

Comparison and performance evaluation of human bio-field visualization algorithm

Many of today’s daily transactions are conducted with the assistance of advanced “slim wallet” technologies. Due to the need to update innovations on a regular basis, they need to be frequently improved. The advent of new technologies at the turn of the century brought about the complete entanglement of a few pivotal inventions (such as the bank card). However, owing to the increased use of bank cards, there are some flaws to be found. In this scheme, singles attempt to forge payments. Card fraud is projected to cost the world Rs 74.26 billion in 2019. Thus, to find a solution to this problem, people around the world have begun looking for ways to spot suspicious transactions. We are attempting to fix this problem using dynamic flaws in machine learning.

Rigid Wrap ATM Debit Card Fraud Detection Using Multistage Detection

Denial of service attack is one of the most devastating and ruinous attacks on the internet. The attack can be performed by flooding the victim's machine with any kind of packets. Throughout all these years many methods have been proposed to reduce the impact, but with machines of higher capabilities coming in, the attack has also become more potent, and these proposals are either less effective or less efficient. A DoS attack exhausts the victim's resources affecting the availability of the resource. This paper will be comparing a few methods that have been proposed and published in various papers along with a newly proposed method. The comparison of the methods is done on a number of parameters including resource utilization, reaction time, worst case scenarios, etc. This paper also checks the viability of these methods over various layers of the network. Concluding with the best aspects of all the papers and the best among these for the current real conditions.

Gunjan Chhabra

Papers

Comparison and performance evaluation of human bio-field visualization algorithm

Rigid Wrap ATM Debit Card Fraud Detection Using Multistage Detection

Comparison of Various DoS Algorithm

Biomedical Diagnostics through Nanocomputing

Biometrics–Unique Identity Verification System