Chaotic Butterfly Optimization with Optimal Multi-key Image Encryption Technique for Wireless Sensor Networks

Disheng; Kai

doi:https://doi.org/10.54216/JISIoT.010203

Journal of Cosmology, Filaments and Astrobiology | 2022

A few remark on negative mass, origin of masses, and entanglement

         Regarding origin of masses, first we shall realize that Boltzmann's "constant" fails over large spans of time and over large distances. (Boltzmann publicly apologized for the errors intrinsic in   his constant but could not find any way to repair the value of the constant so as to be in exact agreement with what actually happens in the real world, in real time.) Given the fact that Boltzmann's constant is wrong, all of thermodynamics is equally wrong, except for Prof. Kiehn's Pfaff Dimension 4 discovery in topological thermodynamics, which proves that mass and/or           energy can be created and/or destroyed in any volume which contains a Pfaff Dimension 4 sub-    volume.

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Robert N. Boyd mail

link https://doi.org/10.54216/JCFA.020101

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Vol. Volume 2 / Iss. Issue 1

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Journal of Cosmology, Filaments and Astrobiology | 2022

Extended experiment on potable water irradiated with low-intensity laser pen and Solfeggio scale frequencies

In previous article, we reported initial findings based on small experiment on potential use of       salt-water as cheap source of renewable battery with various kind of metals as anode and cathode. The purpose of these experiments is to find out which combination of anode and cathode is   capable to generate the best performance in terms of electric voltage. Following those previous reports, this writer also conducted several tests to see effect of low-intensity laser irradiation on potable water. While the first series of our experiment clearly indicated possible laser cooling effect of low intensity laser irradiation of potable water and salt water, the following extended experiment on low intensity laser irradiation shows a rather mixed result. In a series of initial experiment, laser irradiation with laser pen gave lower electric potential (down to several minus milli Volt to the Voltmeter reading), but later on after more than 180 sec of irradiation, it shows            increased positive milli Volt of electric potential of the system. In this experiment, we found that combination of low-intensity laser irradiation and  Solfeggio scale frequencies applied to potable water shows dim result.

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Victor Christianto mail

link https://doi.org/10.54216/JCFA.020102

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Journal of Cosmology, Filaments and Astrobiology | 2022

A frugal experiment on potential cooling effect of potable water irradiated with laser pen

In previous article, we reported initial findings based on small experiment on potential use of salt- water as cheap source of renewable battery with various kind of metals as anode and cathode. The purpose of these experiments is to find out which combination of anode and cathode is capable to generate the best performance in terms of electric voltage. Following that previous             reports, we tried to conduct further simple experiments on possible effect of low intensity laser irradiation on potable water’s electrical features. Nonetheless, this report is slightly disappointing, because as an effect, there is no increase of water electrical feature, instead it may support initial reports by others such as Cohen Tannoudji, Alain Aspect et al, on laser cooling effect to molecules [3][4].

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Victor Christianto mail

link https://doi.org/10.54216/JCFA.020103

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Vol. Volume 2 / Iss. Issue 1

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Journal of Cosmology, Filaments and Astrobiology | 2022

Towards a pathway to realistic tunneling experiment in quantum (liquid) crystalline Cosmology

Following our previous frugal experiments of low-intensity laser irradiation on potable water, allow us to present a few considerations why this writer thinks that these are a pathway towards   realistic tunneling experiment especially in the context of quantum (liquid) crystalline Cosmology. First of all, allow us to recall our preceding articles in CTPNP 2019, and also in Octogon Magazine 2022 regarding exact correspondence between Maxwell equations of classical electrodynamics and Dirac equations. What is more interesting is that it can be shown  that fine structure of hydrogen spectrum can be described alternatively by classical    electromagnetic considerations, therefore it supports our previous conclusion of such correspondence between electromagnetic equations and Dirac equation of quantum mechanics. Secondly, a series of extended experiments on laser irradiated cold water may suggest possible    transition from liquid phase of water to be at least partially fourth phase of water, which may be composed of crystalline water (see e.g. Gerald Pollack, and also Harold Aspden on liquid crystalline). If we can imagine laser cooling effect can be done in protracted time, then we can achieve a physical representation of Aspden‘s liquid crystalline, or in a more mathematical term, Wigner crystal. In that sense, the fourth phase of water can be considered as a quantum system which can undergo quantum tunneling. In that sense, quantum tunneling of 1D Wigner crystal  has been already considered. Last but not least, we also consider testimony by certain Admiral that he saw Unidentified Submerged Objects instead of more common term UFO. This makes more sense especially in light of observations of underwater/submerged built structures or  pyramids which are thousands years old. All of these seem to suggest a possibility that USO saucers may prefer to keep being  in cold underwater or Arctic region because it is much easier for them to go tunneling to extra galactic or other far distance travelling, cf for instance [14].   Nonetheless, we understood that this is merely hypothetical. 

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Victor Christianto mail -

Daniel Chandra mail

link https://doi.org/10.54216/JCFA.020104

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Vol. Volume 2 / Iss. Issue 1

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Journal of Cosmology, Filaments and Astrobiology | 2022

Remark on ‘The future of mathematical Cosmology” and “100 years of mathematical cosmology: Models, theories and problems, Part B” by S. Cotsakis and A.P. Yefremov

In this review article, allow us to offer a few remark on “the future of mathematical cosmology”  “100 years of mathematical cosmology: Models, theories and problems, Part B” by Cotsakis and Yefremov, which seems to us very interesting piece of review on progress on the last 3 or 4            decades in theoretical cosmology development. In particular, we would emphasize on testability of cosmology models, which seem to us this criterion can only be achieved via correspondence between condensed matter/superfluidity/low temperature physics and cosmology (cf. for instance, Kibble & Pickett, 2008).

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Victor Christianto mail -

Yunita Umniyati mail

link https://doi.org/10.54216/JCFA.020105

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Fusion: Practice and Applications | 2023

Benchmarking Machine Learning for Sentimental Analysis of Climate Change Tweets in Social Internet of Things

Climate change has become one of the most critical problems threatening our world, gaining increased attention in either academia or industry. Climate change has been demonstrated as the major barrier in the way of sustainable development strategy in the 2030 Agenda. Nowadays, the Social Internet of Things (SIoT) has paved new ways for public deliberations and has transformed the communication of global issues such as climate change. Thus, sentiment analysis of SIoT media streams can offer great help in improving the mitigation and adaptation to climate change. Machine learning (ML) is demonstrating great success in a wide range of SIoT applications. However, training ML algorithms for sentimental analysis of climate change is notoriously hard as it suffers from feature engineering issues, information squashing, unbalancing, and curse-of-dimensionality, which bounds their possible power for modeling social awareness of climate change. Besides, the absence of a standard benchmark with reasonable and dependable experimentations brings a practically intractable difficulty to the evaluation of the efficiency of new solutions. In this regard, this study introduces the first reasonable and reproducible benchmark devoted to evaluating the potential of ML algorithms in identifying users’ opinions about climate change. Moreover, a novel taxonomy is presented for categorizing the existing ML algorithms, exploring their optimal hyperparameter, and unifying their elementary settings. Inclusive experiments are then performed on real Twitter data with different families of ML algorithms. To promote further study, a detailed analysis is provided for the state of the field to uncover the open research challenges and promising future directions.

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Irina V. Pustokhina mail -

Denis A. Pustokhin mail

link https://doi.org/10.54216/FPA.100102

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Vol. Volume 10 / Iss. Issue 1

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Fusion: Practice and Applications | 2023

Machine learning for False Information Detection in Social Internet of Things

By capitalizing on object relationships and local navigability, the social internet of things (SIoT) is one of the burgeoning paradigms that could solve the technical challenges of conventional IoT. Because of this paradigm's capacity to combine conventional IoT with social media, it is possible to create smart objects and services with greater utility than those created using conventional IoT infrastructures. In recent years, scholars have become interested in SIoT, leading to a plethora of works examining various mechanisms for providing services and technologies within this context. In this vein, we present a comprehensive review of recent research covering important aspects of SIoT. In this research, we give a detailed justification for the function of several machine learning paradigms and provide a practical application of it to unexamined concerns relating to erroneous data and other social IoT. First, we give a classification of false news detection approaches and an analysis of these techniques. Second, the potential uses for detecting fake news are examined at length, including how it might be applied to the areas of fake profile detection, traffic management, bullying detection, etc . We also suggested a detailed review of the possibilities of machine learning algorithms for detecting bogus news and intervening in social networks. In our paper, we introduce categories of fake news detection methods providing a comparison between these methods. After that, the promising applications for false news detection are extensively discussed in terms of fake account detection, bot detection, bullying detection, and the security and privacy of SIoT. After all, A thorough discussion of the potential of machine learning approaches for fake news detection and interventions in SIoT networks along with the state-of-the-art challenges, opportunities, and future search prospects. This article seeks for aiding the readers and researchers in explaining the motive and role of the different machine learning paradigms to offer them a comprehensive realization of so far unexplored issues related to false information and other scenarios of SIoT networks.

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Mahmoud M. Ismail mail -

Nihal N. Mostafa mail -

Esmeralda Kazia mail -

Ibrahim Elhenawy mail

link https://doi.org/10.54216/FPA.100103

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Vol. Volume 10 / Iss. Issue 1

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American Journal of Business and Operations Research | 2022

An Optimization Model for Stock Market Direction Prediction

Stock market direction prediction becomes an essential task in the business sector. The inherent volatile behavior of stock markets worldwide makes the prediction process difficult. The improvement in the prediction accuracy of the stock market direction prediction helps to avoid the risks involved in the investment process. In this aspect, this study designs a swallow swarm optimization (SSO) with a fuzzy support vector machine (FSVM) model for stock market direction prediction. The proposed SSO-FSVM model encompasses preprocessing, feature extraction, FSVM, and SSO based parameter tuning. The usage of the SSO algorithm to fine-tune the parameters involved in the FSVM model helps to significantly improve the overall predictive performance. To validate the improved performance of the SSO-FSVM model, a wide range of experiments were carried out using two benchmark datasets. The experimental outcomes reported the betterment of the SSO-FSVM model over the recent approaches in terms of several evaluation metrics. 

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Mingzhong Liu mail -

N Metawa mail

link https://doi.org/10.54216/AJBOR.060102

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Vol. Volume 6 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2021

More on Single Valued Neutrosophic R-dynamic Vertex Coloring and R-dynamic Edge Coloring of graphs

The notion of neutrosophic sets facilitates the analysis of values that are unclear or indeterminate. In thispaper, we discuss the single valued neutrosophic R-dynamic vertex coloring of Cartesian product of SVNG’sand join of SVNG’s. Further we have described the concept of single valued neutrosophic R-dynamic edgecoloring and provided some examples and theorems.

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Aparna V mail -

Mohanapriya N mail -

broumi said mail

link https://doi.org/10.54216/IJNS.160102

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Vol. Volume 16 / Iss. Issue 1

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Journal of Intelligent Systems and Internet of Things | 2020

Chaotic Butterfly Optimization with Optimal Multi-key Image Encryption Technique for Wireless Sensor Networks

Wireless sensor network (WSN) comprises a set of sensor nodes, mainly used for data collection and tracking process. The imaging sensors in WSN captures the images from the target environment, which needs to be securely transmitted to the base station (BS). Since data transmission in WSN takes place through wireless links, security is a major challenging issue involved in the design of WSN. Image encryption is a commonly available solution to securely transmit the images to destination without comprising security. Therefore, this study designs a novel Chaotic Butterfly Optimization with Optimal Multi-key Image Encryption (CBO-OMKIE) technique for WSN. The goal of the CBO-OMKIE technique is to securely encrypt the images in WSN. The proposed CBO-OMKIE technique involves the design of multi-key based image encryption technique to accomplish security in WSN. In addition, the CBO algorithm is applied to determine the optimal keys involved in the encryption process and it helps for improving the security level to a maximum extent. The performance validation of the CBO-OMKIE technique takes place using benchmark test images and the outcomes were examined under several aspects. The simulation outcome pointed out the enhanced security analysis of the CBO-OMKIE technique over the other techniques.

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Disheng Zheng mail -

Kai Liang mail

link https://doi.org/10.54216/JISIoT.010203

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Vol. Volume 1 / Iss. Issue 2

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