From the Wireless Sensor Networks (WSNs) to the Web of Things (WoT): An Overview

Mina; Sherif; Reem

doi:https://doi.org/10.54216/JISIoT.040201

Journal of Intelligent Systems and Internet of Things | 2021

Intelligent Fault Diagnosis of Gears Based on Deep Learning Feature Extraction and Particle Swarm Support Vector Machine State Recognition

Gear faults have always been a problem encountered in mechanical processing. For gear fault diagnosis, using mathematical-statistical feature extraction methods, deep learning neural networks (DLNN), particle swarm algorithm (PSA), and support vector machines (SVM), etc. According to the feature extraction of deep learning and particle swarm SVM state recognition, the intelligent diagnosis model is established, and the reliability of the model is verified by experiments. The model uses the combination of spectral features extracted by deep learning adaptively and the time domain features extracted by mathematical statistics methods to form a joint feature vector and then uses particle swarm SVM to diagnose the joint feature vector. After research, this paper draws a classification fitness curve combining the fault spectrum features extracted by DLNN and traditional time-domain statistical features. The classification result obtained by using this method is 95.3%. The reliability of the model is verified, and satisfactory diagnosis results are obtained. In addition, the application results also verify the effectiveness of adaptively extracting spectral features based on deep learning.

groups

Ahmed N. Al-Masri mail -

Hamam Mokayed mail

link https://doi.org/10.54216/JISIoT.040102

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2021

Intelligent system for IoT botnet detection using SVM and PSO optimization

Botnet attacks involving Internet-of-Things (IoT) devices have skyrocketed in recent years due to the proliferation of internet IoT devices that can be readily infiltrated. The botnet is a common threat, exploiting the absence of basic IoT security technologies and can perform several DDoS attacks. Existing IoT botnet detection methods still have issues, such as relying on labeled data, not being validated with newer botnets, and using very complex machine learning algorithms, making the development of new methods to detect compromised IoT devices urgent to reduce the negative implications of these IoT botnets. Due to the vast amount of normal data accessible, anomaly detection algorithms seem to promise for identifying botnet attacks on the Internet of Things (IoT). For anomaly detection, the One-Class Support vector machine is a strong method (ONE-SVM). Many aspects influence the classification outcomes of the ONE-SVM technique, like that of the subset of features utilized for training the ONE-SVM model, hyperparameters of the kernel. An evolutionary IoT botnet detection algorithm is described in this paper. Particle Swarm Optimization technique (PSO) is used to tune the hyperparameters of the ONE-SVM to detect IoT botnet assaults launched from hacked IoT devices. A new version of a real benchmark dataset is used to evaluate the proposed method's performance using traditional anomaly detection evaluation measures. This technique exceeds all existing algorithms in terms of false positive, true positive and rates, and G-mean for all IoT device categories, according to testing results. It also achieves the shortest detection time despite lowering the number of picked features by a significant amount.   

groups

Mahmoud A. Salam mail

link https://doi.org/10.54216/JISIoT.030203

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2021

A Proposed AI-based Algorithm for Safety Detection and Reinforcement of Photovoltaic Steel

 In the era of fossil energy depletion and increasing environmental pollution, clean and renewable new energy represented by photovoltaic power generation has become an increasingly important part of multinational companies’ energy structure. With the advent of the era of photovoltaic parity, the use of photovoltaic tracking systems has become the best choice for many new large-capacity power stations. The cost of the support occupies a very large proportion in the investment of the entire power station construction. Therefore, the rationality of the design of the support, cost control and service life have become important ways for competition in the photovoltaic support industry. Based on the above background, the research content of this article is the application of artificial intelligence algorithms in the safety detection and reinforcement of photovoltaic steel supports. To be able to pass the monitoring data, this paper applies intelligent algorithms to perform faster and more accurate safety inspections on photovoltaic steel supports while minimizing labor costs, and to strengthen the photovoltaic steel supports, this paper chooses neural networks as the basic algorithm A structural model of a photovoltaic steel support was proposed. Finally, experimental simulations showed that the wavelet neural network reached 93.87%. Compared with traditional neural networks, wavelet neural networks perform better in fault prediction accuracy, but the speed needs to be improved. The method proposed in this paper has successfully completed the diagnosis of each component of the photovoltaic bracket in the safety inspection of the photovoltaic steel bracket, and meets the immediateness and accuracy required for the safety inspection of the photovoltaic bracket.

groups

Ali A. Alwan mail -

Abedallah Zaid Abualkishik mail

link https://doi.org/10.54216/JISIoT.040103

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

American Journal of Business and Operations Research | 2021

Taxation issues for sharing economic business models

In recent years, the sharing economy has risen rapidly, infiltrating into many fields such as travel, accommodation, medical care, and finance, and has injected new development momentum into these industries. In the shared economy, the sharing of resources not only promotes the flow of social wealth, but also enables idle items to continue to use value and improve resource utilization. The rapid development of the sharing economy brings many benefits, but at the same time, some traditional business models are dying. In China, there is no relevant policy to integrate the economic business model into the scope of tax collection and management. This phenomenon has caused China's tax source. Loss. In response to this problem, this paper studies the taxation of the shared economic business model. Using big data analysis technology as a basic tool, through the analysis of domestic shared economic data, the research on the shared economic business model was completed. Based on the analysis of the status quo of the taxation system of the shared economic business model, the suggestions for perfecting the taxation system of the shared economic business model in China are given, so that the tax collection and management system such as the tax collection concept and the collection and management system can be better adapted. Sharing new requirements for economic development.

groups

Vitalina Babenko mail -

Maryna Nehrey mail -

Berislava Staresinic mail -

Shoujin Wang mail

link https://doi.org/10.54216/AJBOR.040101

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

International Journal of Artificial Intelligence and Education Technology | 2022

Securing Management Information Systems Using Blockchain Technology

This study aims to present the basic principles of blockchain technology that has received the attention of various sectors, including the higher education sector, which studies the application of these technologies to improve information traceability, accountability, and integrity, while ensuring privacy, transparency, durability, trustworthiness, and authenticity. Various interesting proposals and projects launched and being developed, including verification of digital certificates. Through this study, we are building a digital certificate validation system that overcomes the limitations of paper-based digital certificates and non-blockchain-based digital certificates. It explains how to verify a certificate and gives a new idea to create a certificate in the most secure and tamper-resistant way using blockchain technology.

groups

S. A. Elsayed abou Elwafa mail -

S. Aboul Fotouh Saleh mail -

E. E. Mohamed Abd El-razk mail -

Safaa M. Elatawy mail

link https://doi.org/10.54216/IJAIET.010202

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new

Journal of Cybersecurity and Information Management | 2021

A New Chaos-based Approach for Robust Image Encryption

Chaotic encryptions offered various advantages over traditional encryption methods, like high security, speed, reasonable computational overheads. This paper introduces novel perturbation techniques for data encryption based on double chaotic systems. A new technique for image encryption utilizing mixed the proposed chaotic maps is presented. The proposed hybrid system parallels and combines two chaotic maps as part of a new chaotification method. It based on permutation, diffusion and system parameters, which are then involved in pixel shuffling and substitution operations, respectively. Many statistical test and security analysis indicate the validity of the results, e.g., the average values for NPCR and UACI are 99.67145% and 33.63288%, respectively. The proposed technique can achieve low residual intelligibility, high sensitivity and quality of recovered data, high security performance, and it show that the encrypted image has good resistance against attacks. 

groups

Ibrahim Yasser mail -

Abeer T. Khalil mail -

Mohamed A. Mohamed mail -

Fahmi Khalifa mail

link https://doi.org/10.54216/JCIM.070104

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

American Journal of Business and Operations Research | 2021

The Impact of Free Cash Flows to the Financial Flexibility of the Banks listed in the Colombo Stock Exchange

There are considerable arguments in favour of and against the positive relationship between free cash flows (FCF) and financial flexibility. The aim of the study is to determine the impact of free cash flows on the financial flexibility of the banks listed in the Colombo Stock Exchange (CSE). The free cash flow will measure according to the model in Journal of Finance: Agency costs and ownership structure in 2000 and financial flexibility will determine using the financial leverage based on the model captured according to the Accounting Horizons Journal: Financial flexibility and investment decisions in 2007 . The population of the study is the banks listed in the CSE. The sample consists of 60 observations covering 12 banks for a period of over 05 years from 2015 to 2019. The panel regression model has been used to test hypotheses. The results indicate that there is a positive significant relationship between free cash flows and the financial flexibility of the banks listed in CSE.

groups

Nadhira Mahath mail -

Maha Saad Metawea mail

link https://doi.org/10.54216/AJBOR.040102

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

Fusion: Practice and Applications | 2021

Multi-source Heterogeneous Ecological Big Data Adaptive Fusion Method Based on Symmetric Encryption

In recent years, with the rapid development of the domestic economy, the concept of sustainable development has been paid more and more attention. Ecological environment protection is more and more important, and the ecological environment is closely related to economic development. How to measure the relationship between the two is very important. Whether it is to build ecological environment protection or to ensure sustainable development of the economy, we should take the green development concept as a guiding concept, promote ecological economic development, and study the integration of ecological data is of great significance for solving these problems. The research of this thesis studies the multi-source heterogeneous (MSH) ecological big data (BD)adaptive fusion based (FM) based on symmetric encryption. This paper sets up a comparative experiment, multi-sensor (MS) data fusion based (DFM) based on Rough set theory, MSH data fusion based on data information conversion. The method is compared with the symmetric fusion MSH BD adaptive FM proposed in this paper. The results show that the MSH DFM based on Rough set theory has the highest confidence of 0.812; the MSH DFM based on data information conversion has the highest confidence of 0.68; based on symmetric encryption MSH BD The fusion confidence of the adaptive FM is up to 0.965, and the MSH ecological BD adaptive FM based on symmetric encryption is superior.

groups

Manal Nasir mail -

Ahmed N. Al-Masri mail

link https://doi.org/10.54216/FPA.050101

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new

Fusion: Practice and Applications | 2021

Integration of Cultural Digital form and Material Carrier form of Traditional Handicraft Intangible Cultural Heritage

Intangible cultural heritage is the continuous progress of human society. Intangible cultural heritage refers to various traditional cultural expressions that exist in intangible form and are closely related to the lives of the people and inherited from generation to generation. Intangible cultural heritage is a human-oriented living cultural heritage. It emphasizes human-centric skills, experience, and spirit, and is characterized by living changes. What stands out is the intangible attribute, and more emphasis on the quality that does not depend on the material form. The biggest feature of intangible cultural heritage is that it is not divorced from the special life and production methods of the nation, and it is the "living of the nation's personality and national aesthetic habits. "Appears. It exists on the basis of human beings, using voice, image and skills as means of expression, and passing from word to mouth as a cultural chain to continue. It is the most vulnerable part of "living" culture and its traditions. Therefore, for the process of inheriting intangible cultural heritage, the inheritance of people is particularly important. The traditional handicraft intangible cultural heritage is one of the best. However, with the rapid development of society, the living environment of intangible cultural heritage has changed, and the intangible cultural heritage of traditional handicraft industry is rapidly declining or even disappearing. In order to protect traditional handicraft intangible cultural heritage, this article studies the influence of the integration of traditional handcrafted intangible cultural heritage with the form of material carrier, reading and analyzing a large number of related documents using the literature survey method, and according to research needs, through the study of the content of the literature In summary, a questionnaire survey method was adopted to investigate traditional handicraft intangible cultural heritage visitors and inheritors. The results of the survey found that visitors’ satisfaction with the integration of digital forms and physical carrier forms of intangible cultural heritage projects was nearly 30% higher than that of unintegrated forms. Inheritors generally believe that integrated research has better publicity and education for traditional handicraft intangible heritage. The merged handmade intangible cultural heritage items are easy to store, retrieve and query, and at the same time help to preserve the related traditional handmade intangible cultural heritage items safely and for a long time, making the traditional handmade intangible cultural heritage items widely spread and shared around the world.

groups

Saeed M. Aljaberi mail -

Ali Saadon Al-Ogaili mail

link https://doi.org/10.54216/FPA.050102

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2021

From the Wireless Sensor Networks (WSNs) to the Web of Things (WoT): An Overview

In the last two decades, Wireless Sensor Networks (WSNs) are gaining more popularity, where the concept of WSN always exists when everything connects. Almost of WSN applications cover wide area and large spaces for assessing and monitoring certain phenomenon. Moreover, WSN components have been integrated in daily life objects or things (object, place, and person), so that they could be monitored and controlled. As a result, a new paradigm called the Internet of Things (IoT) connects WSN components to the Internet to be globally monitored and controlled representing the surrounding environmental events and conditions. The future IoT is called the Web of Things (WoT), which visualizes the IoT data (sensory data) using current web tools and services (HTTP, RESTful services). This paper presents an overview of the WSNs, the IoT and its future paradigm (WoT) discussing key elements, main layers, main challenges, and annotation formats. 

groups

Mina Younan mail -

Sherif Khattab mail -

Reem Bahgat mail

link https://doi.org/10.54216/JISIoT.040201

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

Details open_in_new