Pub Date : 2021-03-22DOI: 10.1109/ICTSA52017.2021.9406521
Osama Y. A. Saeed, A. A. Saeed, A. Gaid, Amjad M. H. Aoun, A. Sallam
A novel mm-Wave multiband microstrip patch antenna for 5G wireless communication is designed and presented in this paper. The proposed design is an H-shaped with inset feed and a rectangular slit in the upper side of the radiating patch. The 5G mm-Wave antenna resonates at frequencies of 23.2, 40.3, 59.3, 86.9 and 104.3 GHz with a maximum bandwidth of 1.1, 2.8, 18.1, 7.7 and 10.7 GHz respectively. The antenna has sufficient realized gains of 6.4882, 7.1198, 7.9062, 8.1804 and 9.8156 dBi at the resonant frequencies respectively. Furthermore, the antenna covers the most interest 5G mm-Wave spectrum with a total bandwidth of 40.4 GHz. The proposed multiband antenna is designed using microstrip technology with features such as light weight, low cost, low profile, high gain and efficiency. The 5G antenna is designed using a high frequency structure simulator software (HFSS). It has a small form factor of 7.5 × 8.5 × 0.55 mm3. The antenna is compact enough to incorporate into smart devices and used for various 5G applications.
{"title":"Multiband Microstrip Patch Antenna Operating at Five Distinct 5G mm-Wave Bands","authors":"Osama Y. A. Saeed, A. A. Saeed, A. Gaid, Amjad M. H. Aoun, A. Sallam","doi":"10.1109/ICTSA52017.2021.9406521","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406521","url":null,"abstract":"A novel mm-Wave multiband microstrip patch antenna for 5G wireless communication is designed and presented in this paper. The proposed design is an H-shaped with inset feed and a rectangular slit in the upper side of the radiating patch. The 5G mm-Wave antenna resonates at frequencies of 23.2, 40.3, 59.3, 86.9 and 104.3 GHz with a maximum bandwidth of 1.1, 2.8, 18.1, 7.7 and 10.7 GHz respectively. The antenna has sufficient realized gains of 6.4882, 7.1198, 7.9062, 8.1804 and 9.8156 dBi at the resonant frequencies respectively. Furthermore, the antenna covers the most interest 5G mm-Wave spectrum with a total bandwidth of 40.4 GHz. The proposed multiband antenna is designed using microstrip technology with features such as light weight, low cost, low profile, high gain and efficiency. The 5G antenna is designed using a high frequency structure simulator software (HFSS). It has a small form factor of 7.5 × 8.5 × 0.55 mm3. The antenna is compact enough to incorporate into smart devices and used for various 5G applications.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129520489","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 : 2021-03-22DOI: 10.1109/ICTSA52017.2021.9406543
Yousef Fazea, Fathey Mohammed, Mohammed Madi, A. Alkahtani
Network function virtualization (NFV / VNF) and information-centric networking (ICN) are two trending technologies that have attracted expert’s attention. NFV is a technique in which network functions (NF) are decoupling from commodity hardware to run on to create virtual communication services. The virtualized class nodes can bring several advantages such as reduce Operating Expenses (OPEX) and Capital Expenses (CAPEX). On the other hand, ICN is a technique that breaks the host-centric paradigm and shifts the focus to “named information” or content-centric. ICN provides highly efficient content retrieval network architecture where popular contents are cached to minimize duplicate transmissions and allow mobile users to access popular contents from caches of network gateways. This paper investigates the implementation of NFV in ICN. Besides, reviewing and discussing the weaknesses and strengths of each architecture in a critical analysis manner of both network architectures. Eventually, highlighted the current issues and future challenges of both architectures.
网络功能虚拟化(Network function virtualization, NFV / VNF)和信息中心网络(information-centric networking, ICN)是近年来备受关注的两大新兴技术。NFV是一种将网络功能(NF)从商用硬件解耦以创建虚拟通信服务的技术。虚拟化类节点可以带来一些优势，例如降低运营费用(OPEX)和资本费用(CAPEX)。另一方面，ICN是一种技术，它打破了以主机为中心的范式，将焦点转移到“命名信息”或以内容为中心。ICN提供了高效的内容检索网络架构，其中缓存流行内容以减少重复传输，并允许移动用户从网络网关的缓存访问流行内容。本文研究了NFV在ICN中的实现。此外，以批判性的分析方式回顾和讨论两种网络体系结构的优缺点。最后，重点介绍了这两种体系结构的当前问题和未来挑战。
{"title":"Review on Network Function Virtualization in Information-Centric Networking","authors":"Yousef Fazea, Fathey Mohammed, Mohammed Madi, A. Alkahtani","doi":"10.1109/ICTSA52017.2021.9406543","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406543","url":null,"abstract":"Network function virtualization (NFV / VNF) and information-centric networking (ICN) are two trending technologies that have attracted expert’s attention. NFV is a technique in which network functions (NF) are decoupling from commodity hardware to run on to create virtual communication services. The virtualized class nodes can bring several advantages such as reduce Operating Expenses (OPEX) and Capital Expenses (CAPEX). On the other hand, ICN is a technique that breaks the host-centric paradigm and shifts the focus to “named information” or content-centric. ICN provides highly efficient content retrieval network architecture where popular contents are cached to minimize duplicate transmissions and allow mobile users to access popular contents from caches of network gateways. This paper investigates the implementation of NFV in ICN. Besides, reviewing and discussing the weaknesses and strengths of each architecture in a critical analysis manner of both network architectures. Eventually, highlighted the current issues and future challenges of both architectures.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116338412","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 : 2021-03-22DOI: 10.1109/ICTSA52017.2021.9406529
Muzhaffar Ahmad, S. Setumin, R. Baharudin
Image retrieval plays a major role in medical diagnosis, forensic labs, military, crime prevention, and web searching. Most of the image retrieval systems are text-based, but images normally have little or not carry any textual information. The sketch-based Image Retrieval (SBIR) method allows the user to search natural images using freehand sketches instead of text. From the previous investigation, it is found that SBIR may cause the unmatching of the sketches with the database set due to the user’s sketches or the algorithm itself. This work is to study the effectiveness of three local handcrafted descriptors which are Scale-Invariant Feature Transform (SIFT), Speeded-Up Robust Features (SURF), and Oriented FAST and Brief Descriptor (ORB) for SBIR. It is done by comparing the similarity score between the sketch image and the real image using three different local descriptors. The results demonstrate that each used descriptor produces different matched keypoints and the feature vectors for the similarity measure. To calculate the similarity percentage, Euclidean distance was chosen among the other distance measurement methods. From the results obtained, SIFT has the highest percentage followed by SURF and ORB.
{"title":"A Feasibility Study on Local Hand-crafted Feature Descriptors for Sketch-based Image Retrieval","authors":"Muzhaffar Ahmad, S. Setumin, R. Baharudin","doi":"10.1109/ICTSA52017.2021.9406529","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406529","url":null,"abstract":"Image retrieval plays a major role in medical diagnosis, forensic labs, military, crime prevention, and web searching. Most of the image retrieval systems are text-based, but images normally have little or not carry any textual information. The sketch-based Image Retrieval (SBIR) method allows the user to search natural images using freehand sketches instead of text. From the previous investigation, it is found that SBIR may cause the unmatching of the sketches with the database set due to the user’s sketches or the algorithm itself. This work is to study the effectiveness of three local handcrafted descriptors which are Scale-Invariant Feature Transform (SIFT), Speeded-Up Robust Features (SURF), and Oriented FAST and Brief Descriptor (ORB) for SBIR. It is done by comparing the similarity score between the sketch image and the real image using three different local descriptors. The results demonstrate that each used descriptor produces different matched keypoints and the feature vectors for the similarity measure. To calculate the similarity percentage, Euclidean distance was chosen among the other distance measurement methods. From the results obtained, SIFT has the highest percentage followed by SURF and ORB.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124503453","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 : 2021-03-22DOI: 10.1109/ICTSA52017.2021.9406533
Waleed M. Ismael, Mingsheng Gao, Ammar T. Zahary, Zaid Yemeni
IoT data is prone to different kinds of failures (hardware, software, and communication failures). Fault detection and recovery are challenging problems due to sensing devices’ limitations and the deployment field’s nature. Furthermore, timely and accurate detection of faulty data and recovery is highly significant to IoT applications to ensure operational stability and execution efficiency. This paper presents a faulty data detection and recovery approach based on dynamic interval-valued evidence and Kalman filter to accomplish this objective. The proposed approach is edge-based and requires no training to perform faulty data detection and recovery. The simulation results reveal that the proposed approach is efficient and effective in fault detection and recovery.
{"title":"LFDDRA-IoT: Lightweight Faulty Data Detection and Recovery Approach for Internet of Things","authors":"Waleed M. Ismael, Mingsheng Gao, Ammar T. Zahary, Zaid Yemeni","doi":"10.1109/ICTSA52017.2021.9406533","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406533","url":null,"abstract":"IoT data is prone to different kinds of failures (hardware, software, and communication failures). Fault detection and recovery are challenging problems due to sensing devices’ limitations and the deployment field’s nature. Furthermore, timely and accurate detection of faulty data and recovery is highly significant to IoT applications to ensure operational stability and execution efficiency. This paper presents a faulty data detection and recovery approach based on dynamic interval-valued evidence and Kalman filter to accomplish this objective. The proposed approach is edge-based and requires no training to perform faulty data detection and recovery. The simulation results reveal that the proposed approach is efficient and effective in fault detection and recovery.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125737839","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 : 2021-03-22DOI: 10.1109/ICTSA52017.2021.9406542
A. Sallam, Akram A. Almohammedi, A. Gaid, Y. A. Shihab, Mahran Sadeq, Salah Eddin Abdulaziz, Sami Abduasalam, Yazeed Abdulhaleem, V. Shepelev
Healthcare applications like emergency response systems are one of the Internet of Things (IoT) applications. These applications are classified as application-sensitive, where delay and throughput play an important role. To overcome the latency issue over these applications, a Fog computing paradigm has been introduced, in which cloud services are expanded to the edge of the network in order to reduce the delay. Several obstacles of the Fog Computing such as resource-allocation and job-scheduling are still in its infancy. However, fog devices located at the edge of the network are resource restricted. Thus, it is vital to determine the assignment and scheduling of a job on a fog device. An intelligent fog computing scheduling model that offers service-provisioning for IoT while reducing the latency has been proposed in this paper. A case study with a critical healthcare application (An electrocardiogram (ECG)) has been presented. This will optimally schedule the requests of ECG sensors on a fog environment and proficiently handle their demands on existing resources for each fog node. The proposed model was evaluated using iFogSim toolkit in terms of delay performance metric. The results show that the proposed model performance outperforms the existing approaches.
{"title":"Performance Evaluation of Fog-Computing Based on IoT Healthcare Application","authors":"A. Sallam, Akram A. Almohammedi, A. Gaid, Y. A. Shihab, Mahran Sadeq, Salah Eddin Abdulaziz, Sami Abduasalam, Yazeed Abdulhaleem, V. Shepelev","doi":"10.1109/ICTSA52017.2021.9406542","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406542","url":null,"abstract":"Healthcare applications like emergency response systems are one of the Internet of Things (IoT) applications. These applications are classified as application-sensitive, where delay and throughput play an important role. To overcome the latency issue over these applications, a Fog computing paradigm has been introduced, in which cloud services are expanded to the edge of the network in order to reduce the delay. Several obstacles of the Fog Computing such as resource-allocation and job-scheduling are still in its infancy. However, fog devices located at the edge of the network are resource restricted. Thus, it is vital to determine the assignment and scheduling of a job on a fog device. An intelligent fog computing scheduling model that offers service-provisioning for IoT while reducing the latency has been proposed in this paper. A case study with a critical healthcare application (An electrocardiogram (ECG)) has been presented. This will optimally schedule the requests of ECG sensors on a fog environment and proficiently handle their demands on existing resources for each fog node. The proposed model was evaluated using iFogSim toolkit in terms of delay performance metric. The results show that the proposed model performance outperforms the existing approaches.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127723716","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 : 2021-03-22DOI: 10.1109/ICTSA52017.2021.9406528
Awsan A. H. Othman, Emarn A. A. Muhammed, Haneen K. M. Mujahid, Hamzah A. A. Muhammed, Mogeeb A. A. Mosleh
voting process is a democratic practice that has been used over the years as a primary method used by people in democratic countries to express their opinions on issues and discussions that concern them. This paper seeks to facilitate and protect the voting process by making an online voting system for elections and referendums connected with voting devices. The IoT and Blockchain have been used with this system to ensure that users’ data are protected from theft and prevent eavesdropping or vote tampering to guarantee the integrity of the voting. The blockchain encrypts votes in order to protect every vote from forgery. This system is not directed to governments only, but to all governmental and private agencies. For example, governments can establish referendums or elections, and anyone who has reached the legal age and has a voting card issued by the government will be able to vote, thus we get rid of the traditional methods and dispense with ballot boxes, standing in long queues and delay counting the votes that cost governments a lot of time, effort and money. Also, any institution or private corporation that wishes to conduct polls and questionnaires or to conduct a specific study in order to collect opinions from people of society can simply use this system to reach them. The system assists the concerned authorities in obtaining results quickly without delay, taking into account the differences in voting process between government and private organizations.
{"title":"Online Voting System Based on IoT and Ethereum Blockchain","authors":"Awsan A. H. Othman, Emarn A. A. Muhammed, Haneen K. M. Mujahid, Hamzah A. A. Muhammed, Mogeeb A. A. Mosleh","doi":"10.1109/ICTSA52017.2021.9406528","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406528","url":null,"abstract":"voting process is a democratic practice that has been used over the years as a primary method used by people in democratic countries to express their opinions on issues and discussions that concern them. This paper seeks to facilitate and protect the voting process by making an online voting system for elections and referendums connected with voting devices. The IoT and Blockchain have been used with this system to ensure that users’ data are protected from theft and prevent eavesdropping or vote tampering to guarantee the integrity of the voting. The blockchain encrypts votes in order to protect every vote from forgery. This system is not directed to governments only, but to all governmental and private agencies. For example, governments can establish referendums or elections, and anyone who has reached the legal age and has a voting card issued by the government will be able to vote, thus we get rid of the traditional methods and dispense with ballot boxes, standing in long queues and delay counting the votes that cost governments a lot of time, effort and money. Also, any institution or private corporation that wishes to conduct polls and questionnaires or to conduct a specific study in order to collect opinions from people of society can simply use this system to reach them. The system assists the concerned authorities in obtaining results quickly without delay, taking into account the differences in voting process between government and private organizations.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115750591","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 : 2021-03-22DOI: 10.1109/ICTSA52017.2021.9406546
A. Gaid, Sultan M. E. Saleh, A. H. Qahtan, Samar G. A. Aqlan, Belques A. E. Yousef, A. A. Saeed
In this paper, a rectangular microstrip patch antenna was designed for 5G high speed data transmission in the Millimeter-Wave (mm-wave) range from 75 to 110 GHz (W-band). The proposed design is a single element microstrip antenna that has an overall size of $2.02 times 2.328times 0.149mathrm{mm}^{3}$. The radiating element having a dimension of $1.1483times 1.429mathrm{mm}^{2}$ is printed on a substrate material (RT/Duroid5880) with a height of 0.149 mm. Inset feed technique is used for matching between the feeding microstrip line and the rectangular radiating patch. The antenna provides a fractional bandwidth of 3.76% (about 3.12 GHz) and covers the range from 81.3717 GHz to 84.4912 GHz centered at 83 GHz. Further, the return loss, VSWR, gain and directivity achieved are 55.7937 dB, 1.0033, 7.9087 dBi and 7.8914 dB respectively. Good impedance matching, bandwidth, radiation characteristics at the operating band along with compact and small size confirm that the proposed antenna is suitable for 5G mm-wave applications.
{"title":"83 GHz Microstrip Patch Antenna for Millimeter Wave Applications","authors":"A. Gaid, Sultan M. E. Saleh, A. H. Qahtan, Samar G. A. Aqlan, Belques A. E. Yousef, A. A. Saeed","doi":"10.1109/ICTSA52017.2021.9406546","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406546","url":null,"abstract":"In this paper, a rectangular microstrip patch antenna was designed for 5G high speed data transmission in the Millimeter-Wave (mm-wave) range from 75 to 110 GHz (W-band). The proposed design is a single element microstrip antenna that has an overall size of $2.02 times 2.328times 0.149mathrm{mm}^{3}$. The radiating element having a dimension of $1.1483times 1.429mathrm{mm}^{2}$ is printed on a substrate material (RT/Duroid5880) with a height of 0.149 mm. Inset feed technique is used for matching between the feeding microstrip line and the rectangular radiating patch. The antenna provides a fractional bandwidth of 3.76% (about 3.12 GHz) and covers the range from 81.3717 GHz to 84.4912 GHz centered at 83 GHz. Further, the return loss, VSWR, gain and directivity achieved are 55.7937 dB, 1.0033, 7.9087 dBi and 7.8914 dB respectively. Good impedance matching, bandwidth, radiation characteristics at the operating band along with compact and small size confirm that the proposed antenna is suitable for 5G mm-wave applications.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125473048","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 : 2021-03-22DOI: 10.1109/ICTSA52017.2021.9406555
E. Sofronova, Ghazi Alnowaini
This paper presents a universal recurrent traffic flow model designed to simulate traffic flows and solve the problem of finding the optimal durations of traffic light phases. The model belongs to the class of microscopic and is based on the theory of controlled networks. The road network is presented as a configurable graph. The nodes of the graph are the road sections, and the edges are the maneuvers between the sections. The graph configuration is changed by turning the graph edges on or off, which corresponds to the permission or prohibition of certain maneuvers. Traffic flows are controlled by traffic lights at regulated intersections. To apply this model it is assumed that the information about the parameters of flows and the road network is available. The description of the model, its properties, and a methodological example of calculation are given.
{"title":"Universal Recurrent Traffic Flow Model for Urban Traffic Simulation","authors":"E. Sofronova, Ghazi Alnowaini","doi":"10.1109/ICTSA52017.2021.9406555","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406555","url":null,"abstract":"This paper presents a universal recurrent traffic flow model designed to simulate traffic flows and solve the problem of finding the optimal durations of traffic light phases. The model belongs to the class of microscopic and is based on the theory of controlled networks. The road network is presented as a configurable graph. The nodes of the graph are the road sections, and the edges are the maneuvers between the sections. The graph configuration is changed by turning the graph edges on or off, which corresponds to the permission or prohibition of certain maneuvers. Traffic flows are controlled by traffic lights at regulated intersections. To apply this model it is assumed that the information about the parameters of flows and the road network is available. The description of the model, its properties, and a methodological example of calculation are given.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126690657","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 : 2021-03-22DOI: 10.1109/ICTSA52017.2021.9406519
A. A. Saeed, Osama Y. A. Saeed, A. Gaid, Amjad M. H. Aoun, A. Sallam
This paper addresses a low profile multiband microstrip patch antenna design for 5G mm-Wave wireless networks, applications and devices. The proposed patch antenna has a compact rectangular-Shaped structure of $8.6 times 9.2 times 0.6$ mm3 including the ground plane and the slotted inset feed line, that is suitable to be used in smart handheld devices. The antenna operating at 23.8 GHz, 39.4 GHz, 66.2 GHz, 81.9 GHz and 93.9 GHz mm-Wave bands with a maximum bandwidth of 1.4663 GHz, 2.5634 GHz, 5.6609 GHz, 7.9341 GHz and 11.3 GHz respectively. At the resonant frequencies, the proposed design provides a gain of 6.1805 dBi, 6.525 dBi, 7.3768 dBi, 7.4845 dBi and 7.7006 dBi respectively. The 5G multiband antenna has been designed with advantages of light weight, low cost, low profile, high gain and efficiency using microstrip feeding technology. The geometry of the proposed antenna and various parameters such as return loss, voltage standing wave ratio (VSWR), gain and impedance bandwidth are evaluated, presented and discussed. The designed multiband antenna provides a sufficient averaged gain of 6.91456 dBi and a total bandwidth of 28.9247 GHz. The compact and flexible structure of the proposed multiband antenna along with excellent matching, large impedance bandwidth, high gain and good efficiency enables it to be a strong candidate for various 5G mmWave applications, services and devices.
{"title":"A low Profile Multiband Microstrip Patch Antenna For 5G Mm-Wave Wireless Applications","authors":"A. A. Saeed, Osama Y. A. Saeed, A. Gaid, Amjad M. H. Aoun, A. Sallam","doi":"10.1109/ICTSA52017.2021.9406519","DOIUrl":"https://doi.org/10.1109/ICTSA52017.2021.9406519","url":null,"abstract":"This paper addresses a low profile multiband microstrip patch antenna design for 5G mm-Wave wireless networks, applications and devices. The proposed patch antenna has a compact rectangular-Shaped structure of $8.6 times 9.2 times 0.6$ mm3 including the ground plane and the slotted inset feed line, that is suitable to be used in smart handheld devices. The antenna operating at 23.8 GHz, 39.4 GHz, 66.2 GHz, 81.9 GHz and 93.9 GHz mm-Wave bands with a maximum bandwidth of 1.4663 GHz, 2.5634 GHz, 5.6609 GHz, 7.9341 GHz and 11.3 GHz respectively. At the resonant frequencies, the proposed design provides a gain of 6.1805 dBi, 6.525 dBi, 7.3768 dBi, 7.4845 dBi and 7.7006 dBi respectively. The 5G multiband antenna has been designed with advantages of light weight, low cost, low profile, high gain and efficiency using microstrip feeding technology. The geometry of the proposed antenna and various parameters such as return loss, voltage standing wave ratio (VSWR), gain and impedance bandwidth are evaluated, presented and discussed. The designed multiband antenna provides a sufficient averaged gain of 6.91456 dBi and a total bandwidth of 28.9247 GHz. The compact and flexible structure of the proposed multiband antenna along with excellent matching, large impedance bandwidth, high gain and good efficiency enables it to be a strong candidate for various 5G mmWave applications, services and devices.","PeriodicalId":334654,"journal":{"name":"2021 International Conference of Technology, Science and Administration (ICTSA)","volume":"122 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120974038","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 : 2021-03-22DOI: 10.1109/ICTSA52017.2021.9406549
Amira Anisa Rahman Putra, S. Setumin
The state-of-the-art method for image identification tends to achieve high performance. However, it requires a vast set of datasets making it infeasible to train machine learning models with sufficient samples while having newly-found samples. On the other hand, one-shot learning can be trained with limited samples. In addition to that, one-shot learning can also be trained with only one sample per person. One of the renowned methods is by using Siamese Neural Network. A Siamese network operates by having two identical networks with different images and learn the absolute difference between the two feature vectors while calculating the similarity score between the two images. However, the best activation function for this task is somehow unknown. Therefore, this paper attempts to evaluate the performance of Siamese Neural Network for face recognition using different activation functions. From the results, the most suitable activation function with the most stable performance is sigmoid, with an average accuracy of 92% for N-way Siamese Neural Network.
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