About the journal
Journal of Future Generation of Communication and Internet of Things (FGCIOT) is an open access and peer-review quarterly FREE CHARGE publication as a non-commercial publication affiliated with Islamic Azad University (Semnan Branch). Authors are encouraged to submit complete unpublished and original works which are not under review in any other journal. All submitted manuscripts are checked for similarity through a trustworthy software to be assured about their originality and then rigorously peer-reviewed by international reviewers.
Recent Articles
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Open Access Article
1 - Neural network in predicting the mechanical strength of Al6061/SiC composites used in aerospace industries
Seyed Rahim KiahosseiniIssue 1 , Vol. 3 , Spring 2024In this research, the effect of three parameters, the percentage and type of SiC reinforcing material and the type of thermal cycle of composite manufacturing on the elastic modulus, yield strength and ultimate strength of Al/SiC composite have been investigated. For th MoreIn this research, the effect of three parameters, the percentage and type of SiC reinforcing material and the type of thermal cycle of composite manufacturing on the elastic modulus, yield strength and ultimate strength of Al/SiC composite have been investigated. For this purpose, the information related to composite with Al6061alloy reinforced with SiC particles was extracted. After normalizing the input and output information, the perceptron recurrent network was designed and it was tried to extract the optimal parameters by changing different parameters of the network such as the frequency of network training, changing the learning coefficient of the network and weight and bias coefficients and comparing the sum of squared errors in different conditions. Finally, by defining the adaptive learning coefficient in the network, it was tried to improve the speed and accuracy of the network. The results showed that by repeating the network training 10000000 times, the sum of squares of error was reduced to the range of 7-10. Also, the lowest error sum of squares is related to the learning coefficient α=0.002. The results related to the definition of the adaptive learning coefficient showed that if the network is trained 100,000 times, the training speed decreases to 60,000 times with the same error for the adaptive learning coefficient and the constant learning coefficient. In other words, if the adaptive learning coefficient is used, the training speed and error reduction will be higher than using the constant learning coefficient. Manuscript profile -
Open Access Article
2 - Effect of mechanical sever plastic deformation on corrosion current density and electrochemical impedance of AZ91 magnesium Alloy
Seyed Rahim Kiahosseini Armin AminianIssue 1 , Vol. 3 , Spring 2024Magnesium alloys have been considered due to its high strength to weight ratio. In this study, cubic samples of as-cast AZ91 were cut in the dimension of 1 1 1 cm3, and then a hot severe plastic deformation process was applied on them at 350 C. The samples were con MoreMagnesium alloys have been considered due to its high strength to weight ratio. In this study, cubic samples of as-cast AZ91 were cut in the dimension of 1 1 1 cm3, and then a hot severe plastic deformation process was applied on them at 350 C. The samples were continuously compressed in the direction of x, y and z. The raw samples and one, two and three-directional forged samples were evaluated by Vickers hardness, potentiodynamic polarization, scanning electron microscopy (SEM), and electrochemical impedance methods. Vickers hardness evaluation showed that by applying forging in three continual directions, the hardness of the raw sample increased from 74 HV to 86 HV. However, by increasing the number of forging pass, the corrosion current density decreased from 2 mA/cm2 to about 6.9 10-4 mA/cm2. SEM evaluation indicated that corrosion zones were reduced by increasing deformation. Polarization resistance obtained from electrochemical impedance method increased from 381.99 to 1914.4 .cm2 related to the as-cast and three-directional deformed samples, respectively. The event confirmed that anodic regions reduced on the surface of forged samples. The mentioned results confirmed the positive effect of grain size reduction, applied compressive strength and blocking of the presented micro-voids on the corrosion behavior of the alloy. Manuscript profile -
Open Access Article
3 - Improving intrusion detection system in the internet of things using a combination of convolutional neural network and cuckoo algorithm
Issue 1 , Vol. 3 , Spring 2024The Internet of Things (IoT) refers to the connection of various devices to each other via the internet. Conceptually, the IoT can be defined as a dynamic, self-configuring network infrastructure based on standards and participatory communication protocols. The main goa MoreThe Internet of Things (IoT) refers to the connection of various devices to each other via the internet. Conceptually, the IoT can be defined as a dynamic, self-configuring network infrastructure based on standards and participatory communication protocols. The main goal of the IoT is to lead towards a better and safer community. However, one of the fundamental challenges in developing the IoT is the issue of security, and intrusion detection systems are one of the main methods to create security in the IoT. On the other hand, Convolutional Neural Network (CNN), with its specific features, is one of the best methods for analyzing network data. This network is a type of deep neural network composed of multiple layers that can ultimately reduce the dimensions of features. Additionally, the cuckoo algorithm has parameters required for configuration in the initial search, which are very few and can naturally and efficiently cope with multi-state problems. In this paper, a new method for intrusion detection in the IoT using CNN and feature selection by the cuckoo algorithm is presented. Simulation results indicate the satisfactory performance of the proposed method. Manuscript profile
Most Viewed Articles
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Open Access Article
1 - An overview of search engine optimization techniques
Alireza EslamdoustIssue 4 , Vol. 1 , Winter 2022SEO or search engine optimization is comprised of 3 main activities: On-Page SEO, Off-Page SEO, and Technical SEO. A person who is proficient in all these areas and can build a website implementing all these techniques Is known as an SEO specialist. Although some incorp MoreSEO or search engine optimization is comprised of 3 main activities: On-Page SEO, Off-Page SEO, and Technical SEO. A person who is proficient in all these areas and can build a website implementing all these techniques Is known as an SEO specialist. Although some incorporate other activities like data analysis into the mainstream SEO workflow and they are known as SEO masters and they work on a higher level of SEO. In this article, we discuss the On-Page, Off-page, and Technical aspects of SEO. Keep in mind, by reading this article you won’t become an SEO specialist. The main goal of the article is to give you a general view of the SEO workflow and what an SEO specialist does. Manuscript profile -
Open Access Article
2 - Enhancing Patient Movement Rehabilitation: Integration of Intelligent Prosthetic Limbs and the Internet of Things
Ali nazariIssue 4 , Vol. 2 , Winter 2023Medical technology has made incredible strides in recent years , altering the way we approach patient care. Intelligent prosthetic limbs have emerged as a game-changer in terms of enhancing patients' motor function among these ground-breaking inventions. These innovativ MoreMedical technology has made incredible strides in recent years , altering the way we approach patient care. Intelligent prosthetic limbs have emerged as a game-changer in terms of enhancing patients' motor function among these ground-breaking inventions. These innovative prostheses are pushing the limits of what people with limb loss or disability can do by seamlessly interacting with the Internet of Things (IoT). This review explores the crucial role technology plays in improving patients' motor abilities and provides a look into a future in which prosthetic limbs would automatically adapt to their users' demands and enable them to reclaim their independence. Manuscript profile -
Open Access Article
3 - A Classification Framework of Test Models in Model-based Testing
Arash SabbaghiIssue 2 , Vol. 1 , Summer 2022In model-based testing (MBT), the quality of input models and their relevance with the testing target has a direct impact on the quality of the test suite and the effectiveness of the whole testing process. Choosing inappropriate models may increase the number of MBT st MoreIn model-based testing (MBT), the quality of input models and their relevance with the testing target has a direct impact on the quality of the test suite and the effectiveness of the whole testing process. Choosing inappropriate models may increase the number of MBT steps and may not fulfill the testers' expectations. In this paper, we focus on different input models of MBT and represent a classification framework for them. The classification is performed by considering their nature and testing abilities. We discuss the strengths and weaknesses of test models regarding their potential for generating test cases, and summarize the existing works in the literature based on the proposed classification framework. The aim of this paper is to improve the understanding of model-based test case generation approaches and help the testers to choose appropriate models to exploit test cases with regard to their testing goals and purposes. Manuscript profile -
Open Access Article
4 - Internet of Things Advances in Medical Imaging: Approaches, Applications, and Feasibility for Improving Healthcare
mohammadreza einollahi asgarabadIssue 4 , Vol. 2 , Winter 2023In recent decades, the convergence of Internet of Things (IoT) technology and medical imaging has transformed healthcare. This research explores IoT-enabled medical imaging, its potential, applications, and feasibility in enhancing healthcare services. IoT in medical im MoreIn recent decades, the convergence of Internet of Things (IoT) technology and medical imaging has transformed healthcare. This research explores IoT-enabled medical imaging, its potential, applications, and feasibility in enhancing healthcare services. IoT in medical imaging boosts diagnostic precision and treatment capabilities, ensuring accurate disease diagnoses while preserving patient privacy through secure image uploads with encrypted data. Incorporating artificial intelligence (AI) into IoT-based imaging enhances disease detection and treatment. AI algorithms improve image quality and accuracy, raising the standard of care. IoT enables remote medical imaging and precise patient monitoring, emphasizing the importance of data security through encryption. This research highlights IoT's vital role in healthcare, fostering collaboration between devices and data to enhance public health. Manuscript profile -
Open Access Article
5 - GENERALIZED INVERSES OF ANTI-TRIANGULAR BLOCK OPERATOR MATRICES
Tahereh HaddadiIssue 3 , Vol. 1 , Autumn 2022We introduce a new class of generalized inverse which is called π-Hirano inverse‎. Let A be a Banach algebra with an identity. We first recall the definitions of some generalized inverses. As is well known, in 1958, Drazin [6] defined, an element a∈A has Dra MoreWe introduce a new class of generalized inverse which is called π-Hirano inverse‎. Let A be a Banach algebra with an identity. We first recall the definitions of some generalized inverses. As is well known, in 1958, Drazin [6] defined, an element a∈A has Drazin inverse if there is the element a∈A which satisfies ax=xa, xax=x and a-a^2 x∈N(A). In this paper some elementary properties of the π-Hirano inverse are obtained‎. ‎We investigate the existence of the π-Hirano inverse for the anti-triangular operator matrix N=[0&B&C&D] with DCB=0 and et al‎. ‎Certain multiplicative and additive results for the π-Hirano inverse in a Banach algebra are presented‎. ‎We then apply some conditions under which a 2×2 block operator matrix has π-Hirano inverse over Banach spaces‎. Manuscript profile -
Open Access Article
6 - The effectiveness of virtual education based on positive psychology education on the resilience of students of gifted schools (SAMPAD)
adel khaleghi samarinIssue 3 , Vol. 1 , Autumn 2022The present research was conducted with the aim of comparing the effectiveness of virtual education based on positive psychology on the resilience of students of Tehran's gifted schools. This research is a semi-experimental type with a pre-test-post-test design with a c MoreThe present research was conducted with the aim of comparing the effectiveness of virtual education based on positive psychology on the resilience of students of Tehran's gifted schools. This research is a semi-experimental type with a pre-test-post-test design with a control group. The statistical population of the research included all the students of the gifted schools, who were studying in the first secondary schools. In order to select subjects from one of the schools accessible to Tehran's brilliant talents in the first year of high school, 45 people were randomly selected and replaced in two experimental groups (n) and a control group. The pre-test was conducted for both groups. The first experimental group was During 14 sessions of 90 minutes, they were trained based on positive psychology, and the second group was trained based on cognitive-behavioral methods. During this period, the control group did not receive any training in these fields.Conclusion: The results showed that there is a significant difference between the performance of the two groups in the resilience post-test. While, as expected, the resilience of the control group did not have significant changes, but training based on positive psychology improved the resilience index by 9.67% and changed their resilience performance. The effect of education based on cognitive-behavioral method, although it is less than the positive method, but it is with a significant amount of 6.27%, which can create relative changes in the resilience of students. Manuscript profile -
Open Access Article
7 - Semantic and Trust based Data Aggregation in Wireless Sensor Networks
Mohammad Ahmadinia Mohammad DavarpourIssue 4 , Vol. 1 , Winter 2022Wireless sensor networks consist of a large number of sensor nodes spread in an environment. If the target-related data is collected semantically in the sensor network, it would be possible to be processed and reasoned intelligently. On the other hand, one of the most i MoreWireless sensor networks consist of a large number of sensor nodes spread in an environment. If the target-related data is collected semantically in the sensor network, it would be possible to be processed and reasoned intelligently. On the other hand, one of the most important challenges to do with all cases related to sensor networks is the limitation of energy consumption. Data aggregation technique is a way to reduce the energy consumed in wireless sensor networks. Although the techniques based on data aggregation extends the network lifetime through reducing the number of sent packets, they can decrease the accuracy and reliability of the received data. In this paper, Firstly, one strategy for semantic data collection and aggregation of information related to the targets located in sensor network environment are presented. Secondly, through semantic modelling of trust, a method is presented in aggregation technique in order to identify highly trusted sensors and increase their use in collection and aggregation of data about the sensed targets. Therefore, the system accuracy and trust would be generally improved. Modelling and simulation results show the desirable performance of the presented method compared to the previous works. Manuscript profile -
Open Access Article
8 - Presenting a technique for identifying and diagnosing epileptic seizures using nonlinear feature extraction based on DT-CWT coefficients of brain EEG signals with a deep
abdullah jafari chashmiIssue 4 , Vol. 2 , Winter 2023Epilepsy is a type of brain disease that can be diagnosed by observing EEG signals. The disease often occurs in children. However, some cases are also seen in adults. Diagnosing this disease in the early stages is a challenging task for doctors. In this work, the author MoreEpilepsy is a type of brain disease that can be diagnosed by observing EEG signals. The disease often occurs in children. However, some cases are also seen in adults. Diagnosing this disease in the early stages is a challenging task for doctors. In this work, the authors have classified epileptic and normal EEG signal by adopting deep learning approach. To achieve the efficient features, the dual tree complex wavelet (DTCWT) is considered. Then, the decomposed wavelet coefficients are applied to nonlinear feature extraction. These features are used as input to the Radial Hybrid Basis Function (RBF) class. Using the proposed method, about 99% classification accuracy is observed. This requires significant improvement of the proposed algorithm compared to other previously presented algorithms. It is the first time that nonlinear feature extraction on DT-CWT coefficients of an EEG signal is used to diagnose epilepsy. Manuscript profile -
Open Access Article
9 - Generalization of Invariability of Block Matrices in Electrical Energy
Tahereh Haddadi Samaneh BahramianIssue 4 , Vol. 1 , Winter 2022Matrix analysis is one of the appropriate mathematical methods used in engineering sciences. In methods based on matrix analysis special inverse matrix , properties of matrices are used in linear algebra problems. For the first time, the structure of matrix converters w MoreMatrix analysis is one of the appropriate mathematical methods used in engineering sciences. In methods based on matrix analysis special inverse matrix , properties of matrices are used in linear algebra problems. For the first time, the structure of matrix converters was presented by gyagy and pully under the purely theoretical concept with the motivation of optimizing the fundamental performance of cyclo-converters, in order to obtain output voltage with unlimited frequency and direct conversion using controllable two-way switches. Considering the essential role of inverse matrices in engineering sciences and considering the class of matrices inverses. Now, We introduce a new class of generalized inverse which is called n−strongly Drazin inverse and some elementary properties of the n−strongly Drazin inverse are obtained. Certain multiplicative and additive results for the n−strongly Drazin inverse in a Banach algebra are presented. We then apply some conditions under which a 2×2 block operator matrix has n−strongly Drazin inverse over Banach spaces. Manuscript profile -
Open Access Article
10 - The internet of things in smart construction and interior decoration
reyhaneh alian saba nabavian dorsa derakhshandeh ghazal iji bahar akhtarifarIssue 2 , Vol. 2 , Summer 2023The use of digital methods in the construction industry has experienced significant growth in the 21st century Cyber and physical environments are unprecedentedly integrated with the Internet of Things. The Internet of Things has wide applications in various industries, MoreThe use of digital methods in the construction industry has experienced significant growth in the 21st century Cyber and physical environments are unprecedentedly integrated with the Internet of Things. The Internet of Things has wide applications in various industries, including the sectors where the Internet of Things can have significant effects, we can mention the construction industry, building operation and management which is the result of moving towards the goals of sustainable development, therefore, due to the significant advantages of the Internet of Things, the use of this technology in various industries, especially the construction industry, has been widely welcomed. Considering the positive role of Internet of Things technology in the future of the construction industry and the increasing desire of researchers to conduct research in this field, in this article we will examine the use of IOT in smart buildings. Now we want to discuss the application of Internet of Things in interior decoration Manuscript profile
