2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)最新文献

{"title":"Zinc-Magnesium alloy as a degradable bone plate","authors":"Khaled Waly, M. Elwakad, Madyha Shoieb, M. Mousa, Amal S. Eldesoky","doi":"10.1109/JAC-ECC54461.2021.9691455","DOIUrl":"https://doi.org/10.1109/JAC-ECC54461.2021.9691455","url":null,"abstract":"Medical degradable bone plates faced many challenges as toxicity, degradation rate and mechanical properties. Magnesium alloys as first degradable plates have many problems. Zinc alloys also suffer from toxicity of degradation product. In this paper, Zinc-based alloys with different ratios of Mg (magnesium) were fabricated to find the best combatable degradable bone plate for medical applications. Zinc with Mg (0.5, 1.0, 1.5 and 2.0 wt. %) were prepared. In-vitro study. effect on cell viability, adhesion, cellgrowth, and degradation tests of Zinc- XMg alloys were done. Mechanical Compatibility and Microstructure of Zn-XMg were investigated using SEM (scanning electron microscope) and EDS (energy dispersive spectrometer). The results of the analyzed alloys' compositions showed that Zn-xMg were comparable. Microstructurally, all fabricated alloys had a dendritic structure of Mg + MgZn matrix. When the percentage of Mg wt.% increased to one, small elongated particles were appeared obviously at grain boundaries. The presence of Mg + MgZn mixture in the structure effects on mechanical properties. Compression strength of Zn–Mg alloy were enhanced from 65-75 MPa for pure zinc to 600 MPa and 620 for Zn–0.5 Mg alloy and Zn–2Mg alloy. High hardness and wear resistance were observed for alloy with 0.5% Mg. Tensile strength of Zn-Mg alloy were enhanced from 39 MPa for pure zinc to 320 MPa and 300 MPa for Zn-0.5 Mg alloy and Zn-2Mg alloy. For all the investigated alloys, the degradation rate values were increased with increasing amount of Mg %,. On the contrary, the results of mechanical properties showed that the highest ultimate tensile strength value was recorded when Mg wt. % was (0.5). Electrochemical measurements show degradation rates ranged from 0.038 to 0.45mm/year with no toxicity on cell. So, it has great advantage that maintain high strength for long period till restoring damaged bone. Cell viability, adhesion and cell growth were significantly high for Zn- 0.5Mg. Evidently, the fabricated Zn-0.5Mg alloy is a novel biodegradable plate for biomedical orthopedic application. Its mechanical properties improved using 0.5Mg.% which acts as areinforced material for zn plate. This component of alloy exhibit the suitable degradation rate with no toxicity, mechanical strength, surface properties that needed to encourage cells and minerals to form a new bone.","PeriodicalId":354908,"journal":{"name":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127663940","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}

{"title":"SATCOM on-the-Move Antenna Tracking Survey","authors":"Mohamed A. El Harmil, Moustafa Abd Elwahab, R. Abdelrassoul, M. S. Zaghloul, Mohamed El Ghamry","doi":"10.1109/JAC-ECC54461.2021.9691422","DOIUrl":"https://doi.org/10.1109/JAC-ECC54461.2021.9691422","url":null,"abstract":"This paper reviews recent approaches of satellite communication (SATCOM) antenna tracking from a mobile object. Precise tracking of a SATCOM antenna is a key factor to establish efficient communication link between satellite and ground with minimum amount of data loss due to misalignment. To meet this need, antenna positioning system (APS) with high accuracy is required to provide inertially stabilized platform (ISP) for efficient antenna pointing. Some important factors need to be taken into account, such as location of satellite with respect to receiving antenna fixed on ground object, dynamics of the ground object, and weather condition effect with respect to used frequencies.Here, main antenna positioning system (APS) components, satellite tracking methodology and recent tracking techniques are reviewed.","PeriodicalId":354908,"journal":{"name":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132248295","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}

{"title":"Rice Leaf Diseases Detector Based on AlexNet","authors":"S. Zakzouk, Mohamed Ehab, Silvana Atef, Retaj Yousri, Rania M. Tawfik, M. Darweesh","doi":"10.1109/JAC-ECC54461.2021.9691435","DOIUrl":"https://doi.org/10.1109/JAC-ECC54461.2021.9691435","url":null,"abstract":"Rice leaf disease detection is critical for the agriculture sector since rice feeds approximately half of the world’s population. Many researchers worked on this subject, and their results varied depending on the methodologies they used. A deep learning classification architecture, known as AlexNet, is used in this paper to detect three common rice leaf diseases: bacterial leaf blight (BLB), brown spot (BS), and leaf smut (LS), along with healthy leaves (HL). Compared to prior efforts, this work yields an outperforming result with an accuracy of 99.71%.","PeriodicalId":354908,"journal":{"name":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132929455","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}

{"title":"Mobile Edge Computing-Based Radio Access Network for Tactile Internet","authors":"Shahd Thabet, Abdelhamied A. Ateya, M. Abo-Zahhad","doi":"10.1109/JAC-ECC54461.2021.9691428","DOIUrl":"https://doi.org/10.1109/JAC-ECC54461.2021.9691428","url":null,"abstract":"Tactile Internet is a new era of communication industry that provides the required infrastructure for communicating human touch and actuation in real-time. It has been announced as a main use case of the fifth-generation (5G) cellular system, and can be viewed as the bottleneck in the way toward the sixth generation (6G) cellular system. Tactile Internet comes with massive number of applications in all life fields that makes it one of the promising systems. Designing and developing Tactile Internet faces many challenges; however, the one millisecond end-to-end latency represents the main challenge. Moreover, the required ultra-high reliability and availability, and the high system flexibility are design challenges. To achieve the required one millisecond end-to-end latency, and overcome other challenges, new technologies and network structure should be deployed. To this end, this work provides an efficient mobile edge computing (MEC)-based radio access network (RAN) for Tactile Internet. The developed MEC-based RAN deploys a MEC server structure with a developed MEC controller that facilitates the MEC operation. The deployed MEC structure is a multilevel structure with heterogeneous edge servers. The developed structure is simulated over reliable environment for different simulation scenarios and the results indicate that the introduction of MEC controller achieves higher energy efficiency in terms of latency, availability, and reliability.","PeriodicalId":354908,"journal":{"name":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124023376","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}

{"title":"A Novel Iris Cryptosystem Using Elliptic Curve Cryptography","authors":"A. A. Asaker, Z. Elsharkawy, Sabry S. Nassar, N. Ayad, O. Zahran, F. A. Abd El-Samie","doi":"10.1109/JAC-ECC54461.2021.9691307","DOIUrl":"https://doi.org/10.1109/JAC-ECC54461.2021.9691307","url":null,"abstract":"This paper presents a novel high-security iris recognition system using elliptic curve cryptography. In this system, the original IrisCode is partitioned out into binary-shards then every binary-shard is represented by a point over the elliptic curve and encrypted via elliptic curve cryptography. As a result, the protected IrisCodes can be stored and transmitted from the local iris readers to the centralized server as well as between various servers more securely. The proposed iris recognition system is evaluated using CASIA-IrisV3 database in terms of accuracy, security, and privacy.","PeriodicalId":354908,"journal":{"name":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122537513","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}

{"title":"Detecting Digital Stimulant music Using Bidirectional Deep Long Short Term Memory","authors":"R. Sadek, Alaa A. Khalifa, M. A. Elfattah","doi":"10.1109/JAC-ECC54461.2021.9691449","DOIUrl":"https://doi.org/10.1109/JAC-ECC54461.2021.9691449","url":null,"abstract":"Recently, researchers become interested in discovering patterns in brain activity that correspond to different emotions, so the link between musical stimuli and brain waves has received a lot of attention. Music with brainwave entrainment beats (Digital Stimulant) is one of many factors that affect brain waves. Digital stimulants can result in positive effects on human neurons. Stimulants may be used as a therapeutic stimulus, such as pain reduction. Also, it can have negative effects on the brain when its use increases feelings of depression or provokes seizures in patients with epilepsy. All of the research on the effect of music on brain waves has been done by classifying electroencephalograms (EEGs) collected from volunteers while listening to various types of music. However, EEG-based recognition suffers from the difficulty of obtaining each piece of music and obtaining humans to test it. This leads to the proposed idea of using music features such as Mel-Frequency Cepstral Coefficients (MFCC) and Gammatone Cepstral Coefficients (GTCC) to classify music and determine whether or not it will affect the brain. Hence, this paper proposes an approach for music classification based on the presence or absence of digital stimulant based on bidirectional deep long short term memory (BDLSTM) architecture. Since, as far as we know, there is no classified dataset for the music files based on whether the brainwave entrainment beats exist or not, the paper also proposes a new brainwave entrainment beats (BWEB) dataset to evaluate the proposed model performance. Classification results showed that the best performance is obtained when using the bidirectional deep long short term memory (BDLSTM) as it achieved an accuracy of 90.2%, while deeper long short term memory achieved an accuracy of 88.4%.","PeriodicalId":354908,"journal":{"name":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123524400","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}

{"title":"An Arabic Egyptian Dialect COVID-19 Twitter Dataset (ArECTD)","authors":"Ahmed El-Sayed, Shaimaa Y. Lazem, Mohamed M. Abougabal","doi":"10.1109/JAC-ECC54461.2021.9691451","DOIUrl":"https://doi.org/10.1109/JAC-ECC54461.2021.9691451","url":null,"abstract":"Citizens are increasingly expressing their ideas and feelings on social media platforms such as Twitter. During the coronavirus crisis, numerous emotions are exposed, including sadness, anger, fear, sympathy, surprise, etc. The Arabic Egyptian Dialect COVID-19 Twitter Dataset (ArECTD), comprised of 78K tweets, was collected in the period from the 1st of January 2020 till the 30th of May 2021 focusing on the Egyptian dialect. It was annotated using a combination of manual and a semi-supervised self-learning technique. The tweets of ArECTD were categorized into 10 emotions (sarcasm, sadness, anger, fear, sympathy, joy, hope, surprise, love, and none). Emotion analysis of this dataset could help decision makers understand and respond to the public reactions during the pandemic.","PeriodicalId":354908,"journal":{"name":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130225291","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}

{"title":"Comparative Study between Different Image Fusion Techniques Applied on Biomedical Images","authors":"C. Ghandour, W. El-shafai, S. El-Rabaie","doi":"10.1109/JAC-ECC54461.2021.9691439","DOIUrl":"https://doi.org/10.1109/JAC-ECC54461.2021.9691439","url":null,"abstract":"The significant area in varied image processing applications is medical image fusion. In recent years, more efforts, advancement has been made on expanding image fusion algorithms when there is a scarcity of benchmark and code library that can scale the state-of-the-art works. In this research, different image fusion algorithms are implemented on various medical images. A medical image fusion benchmark (MFB) that includes numerous evaluation metrics and fusion algorithms code library is exhibited. Furthermore, within the benchmark, inclusive experiments are also carried out to realize this performance, effective algorithms for powerful image fusion are distinguished by resolving quantitative and qualitative outcomes, and some observances on the states and future likelihoods of this field are granted.","PeriodicalId":354908,"journal":{"name":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127172771","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}