COVID-19 caused a global public disaster as well as an economic crisis, and other challenges. The fifth-generation network, or 5G, connects practically every machine, person, and thing on the planet. We can analyse the public's opinions and sentiments connected to COVID-19 from 5G user-generated content on social media, which will eventually aid in promoting health intervention strategies and designing successful projects based on public perceptions. The BERT language model is first used to preprocess data that has been obtained from Sina Weibo. Following that, the features of the preprocessed data are chosen using a class-wise information technique. Finally, a capsule network (CapsNet) approach is used to identify the 5G user perception and experience optimization. Dynamic routing algorithm is used for optimizing the capsule network. By comparing the suggested framework's performance with certain existing approaches, its effectiveness is evaluated. Simulation results show that the proposed method is more accurate than previous approaches at identifying 5G user experiences.
{"title":"Research on 5G User Perception Detection and Experience Improvement Optimization Based on Capsule Network","authors":"JianTong Yu, Li Li","doi":"10.4018/ijitn.337785","DOIUrl":"https://doi.org/10.4018/ijitn.337785","url":null,"abstract":"COVID-19 caused a global public disaster as well as an economic crisis, and other challenges. The fifth-generation network, or 5G, connects practically every machine, person, and thing on the planet. We can analyse the public's opinions and sentiments connected to COVID-19 from 5G user-generated content on social media, which will eventually aid in promoting health intervention strategies and designing successful projects based on public perceptions. The BERT language model is first used to preprocess data that has been obtained from Sina Weibo. Following that, the features of the preprocessed data are chosen using a class-wise information technique. Finally, a capsule network (CapsNet) approach is used to identify the 5G user perception and experience optimization. Dynamic routing algorithm is used for optimizing the capsule network. By comparing the suggested framework's performance with certain existing approaches, its effectiveness is evaluated. Simulation results show that the proposed method is more accurate than previous approaches at identifying 5G user experiences.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139795207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
COVID-19 caused a global public disaster as well as an economic crisis, and other challenges. The fifth-generation network, or 5G, connects practically every machine, person, and thing on the planet. We can analyse the public's opinions and sentiments connected to COVID-19 from 5G user-generated content on social media, which will eventually aid in promoting health intervention strategies and designing successful projects based on public perceptions. The BERT language model is first used to preprocess data that has been obtained from Sina Weibo. Following that, the features of the preprocessed data are chosen using a class-wise information technique. Finally, a capsule network (CapsNet) approach is used to identify the 5G user perception and experience optimization. Dynamic routing algorithm is used for optimizing the capsule network. By comparing the suggested framework's performance with certain existing approaches, its effectiveness is evaluated. Simulation results show that the proposed method is more accurate than previous approaches at identifying 5G user experiences.
{"title":"Research on 5G User Perception Detection and Experience Improvement Optimization Based on Capsule Network","authors":"JianTong Yu, Li Li","doi":"10.4018/ijitn.337785","DOIUrl":"https://doi.org/10.4018/ijitn.337785","url":null,"abstract":"COVID-19 caused a global public disaster as well as an economic crisis, and other challenges. The fifth-generation network, or 5G, connects practically every machine, person, and thing on the planet. We can analyse the public's opinions and sentiments connected to COVID-19 from 5G user-generated content on social media, which will eventually aid in promoting health intervention strategies and designing successful projects based on public perceptions. The BERT language model is first used to preprocess data that has been obtained from Sina Weibo. Following that, the features of the preprocessed data are chosen using a class-wise information technique. Finally, a capsule network (CapsNet) approach is used to identify the 5G user perception and experience optimization. Dynamic routing algorithm is used for optimizing the capsule network. By comparing the suggested framework's performance with certain existing approaches, its effectiveness is evaluated. Simulation results show that the proposed method is more accurate than previous approaches at identifying 5G user experiences.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-09DOI: 10.21608/ijt.2023.325318
Mohamed Badawi, Safa Elaskary, ziad Ahmed
: Smart gloves have emerged as a groundbreaking assistive technology designed specifically to aid individuals with hearing impairments. These gloves enable the translation of sign language into spoken words or written text, facilitating effective communication between deaf individuals and those who do not understand sign language. By utilizing advanced technologies such as sensors and algorithms, smart gloves accurately recognize and interpret the intricate movements and gestures of sign language. This innovative solution has the potential to bridge the communication gap, empowering deaf individuals to express themselves more freely and interact with the world around them in a more inclusive manner. This paper introduces a prototype of smart gloves that utilize flexiforce sensors and a Bluetooth application on a mobile device to recognize and translate American Sign Language (ASL) signs. Through rigorous testing with a group of deaf participants, the gloves exhibited a remarkable level of accuracy in identifying and converting sign language gestures. Moreover, the gloves were highly regarded for their intuitive and user-friendly nature, making them accessible and easy for individuals with hearing impairments. These findings highlight the potential of smart gloves incorporating flexiforce sensors and Bluetooth technology as a valuable assistive tool for the deaf community, enhancing their ability to communicate and engage with the world around them.
{"title":"Enhancing community interaction for the Deaf and Dumb via the design and implementation of Smart Speaking Glove (SSG) Based on Embedded System","authors":"Mohamed Badawi, Safa Elaskary, ziad Ahmed","doi":"10.21608/ijt.2023.325318","DOIUrl":"https://doi.org/10.21608/ijt.2023.325318","url":null,"abstract":": Smart gloves have emerged as a groundbreaking assistive technology designed specifically to aid individuals with hearing impairments. These gloves enable the translation of sign language into spoken words or written text, facilitating effective communication between deaf individuals and those who do not understand sign language. By utilizing advanced technologies such as sensors and algorithms, smart gloves accurately recognize and interpret the intricate movements and gestures of sign language. This innovative solution has the potential to bridge the communication gap, empowering deaf individuals to express themselves more freely and interact with the world around them in a more inclusive manner. This paper introduces a prototype of smart gloves that utilize flexiforce sensors and a Bluetooth application on a mobile device to recognize and translate American Sign Language (ASL) signs. Through rigorous testing with a group of deaf participants, the gloves exhibited a remarkable level of accuracy in identifying and converting sign language gestures. Moreover, the gloves were highly regarded for their intuitive and user-friendly nature, making them accessible and easy for individuals with hearing impairments. These findings highlight the potential of smart gloves incorporating flexiforce sensors and Bluetooth technology as a valuable assistive tool for the deaf community, enhancing their ability to communicate and engage with the world around them.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135292072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-05DOI: 10.21608/ijt.2023.324722
Abdalrahman Adel, Osama Omer, M. Anwar, Mohamed Alamir, Amir Almslmany
: In this paper, solid rocket fuel titration by non-destructive ultrasonic test, using ultrasonic laser receptor technology. This technique is one of the modern ways to receive ultrasound, this technology works by making a three-dimensional image of heterogeneous cracks. Taking into account mainly the storage temperature ranging from 50 to 70 C and the casings in which the rocket fuel is placed. Experiments were carried out on plastic and stainless steel covers. The thickness of plastic casings ranges from 16 to 17.5 mm . The thickness stainless steel ranges from 9 to 20.40 mm. The important scientific contribution of this research is testing the storage of rocket fuel at high temperatures and knowing what happens by introducing rocket fuel in the case of storage at those temperatures. To take into account the good ventilation system for solid rocket fuel .
{"title":"Design and Implementation of a Diagnostic Solid Propellant Fuel System Based on Laser Illuminator","authors":"Abdalrahman Adel, Osama Omer, M. Anwar, Mohamed Alamir, Amir Almslmany","doi":"10.21608/ijt.2023.324722","DOIUrl":"https://doi.org/10.21608/ijt.2023.324722","url":null,"abstract":": In this paper, solid rocket fuel titration by non-destructive ultrasonic test, using ultrasonic laser receptor technology. This technique is one of the modern ways to receive ultrasound, this technology works by making a three-dimensional image of heterogeneous cracks. Taking into account mainly the storage temperature ranging from 50 to 70 C and the casings in which the rocket fuel is placed. Experiments were carried out on plastic and stainless steel covers. The thickness of plastic casings ranges from 16 to 17.5 mm . The thickness stainless steel ranges from 9 to 20.40 mm. The important scientific contribution of this research is testing the storage of rocket fuel at high temperatures and knowing what happens by introducing rocket fuel in the case of storage at those temperatures. To take into account the good ventilation system for solid rocket fuel .","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135727579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-26DOI: 10.21608/ijt.2023.318728
Ahmed Amin, Tamer Soliman, Ayman Hasanein, Ahmed Abdelhafeez
: The Internet of Things (IoT) is a paradigm in which objects equipped with sensors, actuators, and processors communicate with each other to serve a meaningful purpose. The current study is the quickly growing topic of interior design as detection for the IoT. To proceed with this development, we need to examine current gaps and trends in application. These papers include sensor monitoring, smart home and innovative city applications, network and infrastructure security, and many other expanding areas. The need to research the many IoT interior design as detection applications has grown because of recent developments in the industry. The classification of IoT detection algorithms is covered after a brief overview of the detection techniques and applications. This survey paper highlights the taxonomy for IoT technologies, highpoints some of the most significant technologies, and profiles some applications that have the potential to make a substantial impact on society. There needs to be more IoT detection approaches in recent papers, where there is a need for Ground Truth data. Finally, we discuss these current issues and propose fresh viewpoints in areas where more research is needed.
{"title":"Interior design applications based on IoT as detection and es-timation methods","authors":"Ahmed Amin, Tamer Soliman, Ayman Hasanein, Ahmed Abdelhafeez","doi":"10.21608/ijt.2023.318728","DOIUrl":"https://doi.org/10.21608/ijt.2023.318728","url":null,"abstract":": The Internet of Things (IoT) is a paradigm in which objects equipped with sensors, actuators, and processors communicate with each other to serve a meaningful purpose. The current study is the quickly growing topic of interior design as detection for the IoT. To proceed with this development, we need to examine current gaps and trends in application. These papers include sensor monitoring, smart home and innovative city applications, network and infrastructure security, and many other expanding areas. The need to research the many IoT interior design as detection applications has grown because of recent developments in the industry. The classification of IoT detection algorithms is covered after a brief overview of the detection techniques and applications. This survey paper highlights the taxonomy for IoT technologies, highpoints some of the most significant technologies, and profiles some applications that have the potential to make a substantial impact on society. There needs to be more IoT detection approaches in recent papers, where there is a need for Ground Truth data. Finally, we discuss these current issues and propose fresh viewpoints in areas where more research is needed.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134886108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-03DOI: 10.21608/ijt.2023.315782
eman salah, Mona Shokair, Fathi Abd El-Samie, wafaa ahmed
: Attention deficit hyperactivity disorder (ADHD) is a neurological disease that is very common in recent times, and many attempts have been made to overcome it. ADHD is diagnosed in boys more than girls. Girls are more likely to have only symptoms of inattention, and less likely to exhibit disruptive behavior that makes ADHD symptoms more noticeable. This means that girls with ADHD may not always be diagnosed. Artificial intelligence has played a very important role in eliminating this disorder using deep learning technology. Deep learning has three algorithms as Deep Neural Network (DNN), convolution neural network (CNN), Recurrent Neural Network (RNN). The disease is diagnosed using functional magnetic resonance imaging (fMRI) to determine whether the person is affected or not by taking some snapshots of brain images. A convolutional neural network (CNN) was chosen to extract the specifications or features of fMRI images.There were an optimization technique of the fMRI datasets namely, Nesterov-Accelerated Adaptive Moment Estimation (Nadam). Using these optimization techniques for adapting the classification system for three CNN network or models for ADHD cases, it was concluded that the accuracy for CNN NET 1 is 97.5%, accuracy for CNN NET 2 is 95% and accuracy for CNN NET 3 is 98.75 %. Finally, it’s found that CNN NET 3 is the best as its high accuracy so the system is improved.
{"title":"Detection Attention Deficit Hyperactivity Disorder by using Convolution Neural Network","authors":"eman salah, Mona Shokair, Fathi Abd El-Samie, wafaa ahmed","doi":"10.21608/ijt.2023.315782","DOIUrl":"https://doi.org/10.21608/ijt.2023.315782","url":null,"abstract":": Attention deficit hyperactivity disorder (ADHD) is a neurological disease that is very common in recent times, and many attempts have been made to overcome it. ADHD is diagnosed in boys more than girls. Girls are more likely to have only symptoms of inattention, and less likely to exhibit disruptive behavior that makes ADHD symptoms more noticeable. This means that girls with ADHD may not always be diagnosed. Artificial intelligence has played a very important role in eliminating this disorder using deep learning technology. Deep learning has three algorithms as Deep Neural Network (DNN), convolution neural network (CNN), Recurrent Neural Network (RNN). The disease is diagnosed using functional magnetic resonance imaging (fMRI) to determine whether the person is affected or not by taking some snapshots of brain images. A convolutional neural network (CNN) was chosen to extract the specifications or features of fMRI images.There were an optimization technique of the fMRI datasets namely, Nesterov-Accelerated Adaptive Moment Estimation (Nadam). Using these optimization techniques for adapting the classification system for three CNN network or models for ADHD cases, it was concluded that the accuracy for CNN NET 1 is 97.5%, accuracy for CNN NET 2 is 95% and accuracy for CNN NET 3 is 98.75 %. Finally, it’s found that CNN NET 3 is the best as its high accuracy so the system is improved.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134948385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-02DOI: 10.21608/ijt.2023.315591
Ahmed Rabea, Mohamed Abdelfattah, Ali Takieldeen, Abeer Khalil
: Providing a new framework for chaotic image encryption is becoming increasingly important and more significant in various applications, such as the transmission of medical and military photographs. Substitution boxes based on chaos have received a lot of attention lately. Recently, a method of picture encryption based on numerous chaotic Substitution boxes was proposed. Many chaos map-based encryption methods have been proposed, taking advantage of their superior properties such as sensibility to the initial state and controlling factors. This encryption technique was founded on the idea of the confusion that the S-implementation boxes alone may generate. The technique involves incorporating replacement box encryption, working with a chaotic map to extract the output data, encrypting that data using a well-known encryption algorithm, and then having the other party decrypt it. And then to ensure the accuracy of the recovered data, certain statistical analysis is performed on it, including correlation, charts, and entropy.
{"title":"Survey Image Cryptanalysis Using a Substitution Box Based Chaotic Map","authors":"Ahmed Rabea, Mohamed Abdelfattah, Ali Takieldeen, Abeer Khalil","doi":"10.21608/ijt.2023.315591","DOIUrl":"https://doi.org/10.21608/ijt.2023.315591","url":null,"abstract":": Providing a new framework for chaotic image encryption is becoming increasingly important and more significant in various applications, such as the transmission of medical and military photographs. Substitution boxes based on chaos have received a lot of attention lately. Recently, a method of picture encryption based on numerous chaotic Substitution boxes was proposed. Many chaos map-based encryption methods have been proposed, taking advantage of their superior properties such as sensibility to the initial state and controlling factors. This encryption technique was founded on the idea of the confusion that the S-implementation boxes alone may generate. The technique involves incorporating replacement box encryption, working with a chaotic map to extract the output data, encrypting that data using a well-known encryption algorithm, and then having the other party decrypt it. And then to ensure the accuracy of the recovered data, certain statistical analysis is performed on it, including correlation, charts, and entropy.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134968814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-02DOI: 10.21608/ijt.2023.319617
Eman Elbehiry, Atef salama
: In this research, it presents a Wireless Area Network (WSN) routing protocol with high throughput, dependability, and energy efficiency. It uses multi-hop topology to reduce energy consumption and increase network lifetime. It suggests utilizing a cost function to select a parent node or forwarder. The recommended cost function picks a parent node that is close to the sink and has a high residual energy. The residual energy parameter balances the energy consumption among the sensor nodes, while the distance parameter ensures successful packet delivery to the sink. The results of the simulations demonstrate that the suggested protocol maximizes network stability and node uptime. Higher packet delivery to sink is a result of longer stability periods, which is highly desirable for ongoing patient monitoring. This study describes a technical framework that includes sensor placement, base station and sensor node architecture, routing protocols, signal acquisition and transmission, and the establishment of an online monitoring sys-tem. The evaluation of linear network topologies based on routing algorithms for train monitoring has been studied using a realistic mesh sensing system. Results show that multi-hop topology outperforms the conventional in terms of end-to-end delay, throughput, and residual energy level. Our protocol approach maximizes network stability and node uptime, according to the simulation results. Longer stability durations lead to higher packet delivery to sink, which is extremely desirable for continual patient monitoring.
{"title":"WSN Implementation to Prevent Train Track Collapse","authors":"Eman Elbehiry, Atef salama","doi":"10.21608/ijt.2023.319617","DOIUrl":"https://doi.org/10.21608/ijt.2023.319617","url":null,"abstract":": In this research, it presents a Wireless Area Network (WSN) routing protocol with high throughput, dependability, and energy efficiency. It uses multi-hop topology to reduce energy consumption and increase network lifetime. It suggests utilizing a cost function to select a parent node or forwarder. The recommended cost function picks a parent node that is close to the sink and has a high residual energy. The residual energy parameter balances the energy consumption among the sensor nodes, while the distance parameter ensures successful packet delivery to the sink. The results of the simulations demonstrate that the suggested protocol maximizes network stability and node uptime. Higher packet delivery to sink is a result of longer stability periods, which is highly desirable for ongoing patient monitoring. This study describes a technical framework that includes sensor placement, base station and sensor node architecture, routing protocols, signal acquisition and transmission, and the establishment of an online monitoring sys-tem. The evaluation of linear network topologies based on routing algorithms for train monitoring has been studied using a realistic mesh sensing system. Results show that multi-hop topology outperforms the conventional in terms of end-to-end delay, throughput, and residual energy level. Our protocol approach maximizes network stability and node uptime, according to the simulation results. Longer stability durations lead to higher packet delivery to sink, which is extremely desirable for continual patient monitoring.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134969661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article presents a proposal of a reconfigurable FIR filter capable of covering the most common wireless communication standards on software-defined radio applications. The filter was implemented using a low-cost field programmable gate array, Cyclone IV EP4CE22F17C6 model from Altera®. System design is presented together with simulation results. Validation is done for a 500 kHz base-band noisy signal. The synthesized design uses 5,259 logic elements of which 4,778 were used for combinational logic blocks and 513 for dedicated logic registers, which represents 22% of total used FPGA capacity. The maximum sampling frequency supported by the architecture is 23.24 MHz.
本文提出了一种可重构FIR滤波器的建议，该滤波器能够覆盖软件定义无线电应用中最常见的无线通信标准。过滤器采用Altera®的Cyclone IV EP4CE22F17C6型低成本现场可编程门阵列实现。给出了系统设计和仿真结果。对500kHz基带噪声信号进行了验证。综合设计使用5259个逻辑元件，其中4778个用于组合逻辑块，513个用于专用逻辑寄存器，占所用FPGA总容量的22%。该架构支持的最大采样频率为23.24MHz。
{"title":"An FPGA-Based Reconfigurable FIR Filter for SDR Applications","authors":"Lincoln Alexandre Paz Silva, F. A. Brito-Filho","doi":"10.4018/ijitn.326455","DOIUrl":"https://doi.org/10.4018/ijitn.326455","url":null,"abstract":"This article presents a proposal of a reconfigurable FIR filter capable of covering the most common wireless communication standards on software-defined radio applications. The filter was implemented using a low-cost field programmable gate array, Cyclone IV EP4CE22F17C6 model from Altera®. System design is presented together with simulation results. Validation is done for a 500 kHz base-band noisy signal. The synthesized design uses 5,259 logic elements of which 4,778 were used for combinational logic blocks and 513 for dedicated logic registers, which represents 22% of total used FPGA capacity. The maximum sampling frequency supported by the architecture is 23.24 MHz.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42208965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-08DOI: 10.21608/ijt.2023.298154
{"title":"Review Study on Artificial Intelligence Tools for Attention Deficit Hyperactivity Disorder Identification","authors":"","doi":"10.21608/ijt.2023.298154","DOIUrl":"https://doi.org/10.21608/ijt.2023.298154","url":null,"abstract":"","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73206611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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