Pub Date : 2022-04-04DOI: 10.13052/jmm1550-4646.1856
S. Kharche, Prajakta Dere
Interoperability allows seamless data exchange among the heterogeneous networks and is a crucial problem for the growth of forthcoming 6G networks. The research has focussed on the interoperability issues in the Internet of Things (IoT) related to cross-domain and cross-platform applications. However, the future 6G communication networks are not limited to interoperating with IoT. The 6G networks must interoperate with the Wearable IoT (WIoT), brain abstracted Internet of Thinking (IoTk), Internet of Everything, and other space and undersea networks. The network softwarization, slicing, and intelligentization techniques are envisioned to support seamless data exchange between 6G and other heterogeneous networks. However, to successfully achieve the goal of global 360∘∘ connectivity in 3D space, interoperability issues with heterogeneous services, applications, protocols, networks, etc., must be solved. The integration and interoperability of 6G networks with all aforementioned heterogeneous networks are inevitable to realize the goals of 3D communication successfully. The paper proposes a taxonomy to provide deep insights into interoperability issues, challenges, and possible solutions for 6G interoperability with WIoT, IoTk, IoE, and other networks. Though the techniques mentioned above in 6G networks will allow interoperable solutions, the integration and interoperability issues persist due to heterogeneities in high-frequency bands, base stations, technologies, device identities, protocols, and interfaces. The paper summarizes significant challenges regarding interoperability issues in various areas related to 6G and highlights the broad scope to further research.
互操作性允许在异构网络之间进行无缝数据交换，这是即将到来的6G网络增长的关键问题。研究重点是与跨域、跨平台应用相关的物联网(IoT)互操作性问题。然而，未来的6G通信网络并不局限于与物联网的互操作。6G网络必须与可穿戴物联网(WIoT)、大脑抽象物联网(IoTk)、万物互联(Internet of Everything)等空间和海底网络实现互操作。预计网络软件化、切片和智能化技术将支持6G与其他异构网络之间的无缝数据交换。然而，要在3D空间中成功实现全球360度连接的目标，就必须解决与异构服务、应用程序、协议、网络等的互操作性问题。6G网络与上述所有异构网络的集成和互操作性是成功实现3D通信目标的必然要求。本文提出了一种分类法，以深入了解6G与WIoT、IoTk、IoE和其他网络的互操作性问题、挑战和可能的解决方案。尽管上述6G网络中的技术将允许互操作解决方案，但由于高频频段、基站、技术、设备身份、协议和接口的异构性，集成和互操作性问题仍然存在。本文总结了与6G相关的各个领域的互操作性问题的重大挑战，并强调了进一步研究的广泛范围。
{"title":"Interoperability Issues and Challenges in 6G Networks","authors":"S. Kharche, Prajakta Dere","doi":"10.13052/jmm1550-4646.1856","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.1856","url":null,"abstract":"Interoperability allows seamless data exchange among the heterogeneous networks and is a crucial problem for the growth of forthcoming 6G networks. The research has focussed on the interoperability issues in the Internet of Things (IoT) related to cross-domain and cross-platform applications. However, the future 6G communication networks are not limited to interoperating with IoT. The 6G networks must interoperate with the Wearable IoT (WIoT), brain abstracted Internet of Thinking (IoTk), Internet of Everything, and other space and undersea networks. The network softwarization, slicing, and intelligentization techniques are envisioned to support seamless data exchange between 6G and other heterogeneous networks. However, to successfully achieve the goal of global 360∘∘ connectivity in 3D space, interoperability issues with heterogeneous services, applications, protocols, networks, etc., must be solved. The integration and interoperability of 6G networks with all aforementioned heterogeneous networks are inevitable to realize the goals of 3D communication successfully. The paper proposes a taxonomy to provide deep insights into interoperability issues, challenges, and possible solutions for 6G interoperability with WIoT, IoTk, IoE, and other networks. Though the techniques mentioned above in 6G networks will allow interoperable solutions, the integration and interoperability issues persist due to heterogeneities in high-frequency bands, base stations, technologies, device identities, protocols, and interfaces. The paper summarizes significant challenges regarding interoperability issues in various areas related to 6G and highlights the broad scope to further research.","PeriodicalId":425561,"journal":{"name":"J. Mobile Multimedia","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114235317","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 : 2022-04-04DOI: 10.13052/jmm1550-4646.1854
Meriem Houmer, Safaa Laqtib, Siham Eddamiri
Integrating the cellular network infrastructure into Intelligent Transport Systems (ITS) received attention from the research community and standards groups. This technology allows the invention and development of new applications, as well as the development of new vehicle mobility solutions and the enhancement of driver mobility in terms of safety, reliability, capacity, and quality. Cellular communications networks such as LTE-V2X and 5G NR, integrated into the Vehicle to Everything (V2X) architecture designed to support vehicular communications and deployed on a large scale, appear in particular to be a relevant solution. They could indeed guarantee reliable geographic distribution and acceptable performance (latency, bandwidth, packet loss). In this context, we propose a secure authentication scheme for 5G-based V2X communication. To achieve security requirements, our approach aims to provide a high degree of security in different vehicular communication (V2V, V2I, V2N) by using lightweight cryptographic algorithms in order to safely receive all keys and messages from RSU, vehicles, and the network. To validate our approach, we use the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool to achieve the security goals, also evaluate the performance according to the operational cost which demonstrates that our model has a less computational cost.
{"title":"Lightweight and Secure Authentication Model for Vehicle to Everything (V2X) Communication Based on 5G Networks","authors":"Meriem Houmer, Safaa Laqtib, Siham Eddamiri","doi":"10.13052/jmm1550-4646.1854","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.1854","url":null,"abstract":"Integrating the cellular network infrastructure into Intelligent Transport Systems (ITS) received attention from the research community and standards groups. This technology allows the invention and development of new applications, as well as the development of new vehicle mobility solutions and the enhancement of driver mobility in terms of safety, reliability, capacity, and quality. Cellular communications networks such as LTE-V2X and 5G NR, integrated into the Vehicle to Everything (V2X) architecture designed to support vehicular communications and deployed on a large scale, appear in particular to be a relevant solution. They could indeed guarantee reliable geographic distribution and acceptable performance (latency, bandwidth, packet loss). In this context, we propose a secure authentication scheme for 5G-based V2X communication. To achieve security requirements, our approach aims to provide a high degree of security in different vehicular communication (V2V, V2I, V2N) by using lightweight cryptographic algorithms in order to safely receive all keys and messages from RSU, vehicles, and the network. To validate our approach, we use the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool to achieve the security goals, also evaluate the performance according to the operational cost which demonstrates that our model has a less computational cost.","PeriodicalId":425561,"journal":{"name":"J. Mobile Multimedia","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122684121","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 : 2022-03-21DOI: 10.13052/jmm1550-4646.18416
Khin Nann Nyunt Swe, Chanvit Pamonchom, A. Poyai, T. Phetchakul
This paper presents a new magnetic detection device, MAGFinFET, which is based on the advanced 3D FinFET structure. It can measure the vertical magnetic field by designing two contacts on both sides of the drain. The operation uses the principle of the current mode of Hall effect causing the deflection of the drain currents at both contacts. The 3D geometry effect was studied: channel length, fin height and fin width. It can be seen that when the values of these parameters are increased, the differential currents and relative sensitivities are increased linearly. Relative sensitivity has the highest value 0.00201 T−1-1 at channel length 50 nm. Fin height and fin width of 50 nm give the highest sensitivity of 0.00468 T−1-1 and 0.00415 T−1-1 respectively. Current density distributions of the different variations of each parameter Lgg, Fhh and Fww are observed by applying vertical magnetic field on the device. The 3D-MAGFinFET has been compared to that of the 2D non-split drain MAGFET structure and bulk fin resistor that use n-type semiconductor instead of induction channel. MAGFinFET shows quite higher sensitivity compared to bulk fin resistor. MAGFinFET mechanism models and simple characteristic equations are proposed in this work. Sentaurus TCAD is used for the device structure and simulation for the characteristics of MAGFinFET. This FinFET based device can be fabricated with modern integrated circuit technology.
{"title":"Novel MAGFinFET: Operation, Design and Geometry Effect for Modern Sensors","authors":"Khin Nann Nyunt Swe, Chanvit Pamonchom, A. Poyai, T. Phetchakul","doi":"10.13052/jmm1550-4646.18416","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.18416","url":null,"abstract":"This paper presents a new magnetic detection device, MAGFinFET, which is based on the advanced 3D FinFET structure. It can measure the vertical magnetic field by designing two contacts on both sides of the drain. The operation uses the principle of the current mode of Hall effect causing the deflection of the drain currents at both contacts. The 3D geometry effect was studied: channel length, fin height and fin width. It can be seen that when the values of these parameters are increased, the differential currents and relative sensitivities are increased linearly. Relative sensitivity has the highest value 0.00201 T−1-1 at channel length 50 nm. Fin height and fin width of 50 nm give the highest sensitivity of 0.00468 T−1-1 and 0.00415 T−1-1 respectively. Current density distributions of the different variations of each parameter Lgg, Fhh and Fww are observed by applying vertical magnetic field on the device. The 3D-MAGFinFET has been compared to that of the 2D non-split drain MAGFET structure and bulk fin resistor that use n-type semiconductor instead of induction channel. MAGFinFET shows quite higher sensitivity compared to bulk fin resistor. MAGFinFET mechanism models and simple characteristic equations are proposed in this work. Sentaurus TCAD is used for the device structure and simulation for the characteristics of MAGFinFET. This FinFET based device can be fabricated with modern integrated circuit technology.","PeriodicalId":425561,"journal":{"name":"J. Mobile Multimedia","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131967796","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 : 2022-03-21DOI: 10.13052/jmm1550-4646.18413
V. Chutchavong, T. Anuwongpinit, B. Purahong, T. Archevapanich, K. Janchitrapongvej
The ultrawideband system operates a very short pulse with enormous bandwidth to provide high data rates for data transmission. To design the UWB pulse, considering the pulse shape is very necessary, and a spectral emission mask of the designed pulse should meet the FCC spectral mask requirement between frequency range 3.1 GHz to 10.6 GHz. The traditional UWB pulse design is based on the Gaussian derivative. However, the frequency spectrum is not satisfied the FCC spectral mask requirement. In this study, the Gaussian pulse can be designed from the mathematical characteristic of the generalized Bessel polynomial. The spectral efficiency of the proposed pulse can be improved by the combination of the derivative of Gaussian pulse with a weight coefficient optimization with particle swarm optimization (PSO). PSO is a population-based optimization algorithm inspired by animal behavior. PSO is applied with generalized Bessel polynomial transfer function to gain the best weight coefficient, we proposed to optimize its weight vector to design a pulse that exceeds to FCC spectral mask. The results were found in MATLAB software show that generalized Bessel polynomials can approximate the proposed pulse with combination method and PSO. The spectral efficiency is improved to 89.30% and the spectrum is greater close to the FCC spectral mask requirement. To confirm an improved spectral efficiency compared to the previous works.
{"title":"Optimized Gaussian Pulse Design for UWB System Using Particle Swarm Optimization Based-on Generalized Bessel Polynomials","authors":"V. Chutchavong, T. Anuwongpinit, B. Purahong, T. Archevapanich, K. Janchitrapongvej","doi":"10.13052/jmm1550-4646.18413","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.18413","url":null,"abstract":"The ultrawideband system operates a very short pulse with enormous bandwidth to provide high data rates for data transmission. To design the UWB pulse, considering the pulse shape is very necessary, and a spectral emission mask of the designed pulse should meet the FCC spectral mask requirement between frequency range 3.1 GHz to 10.6 GHz. The traditional UWB pulse design is based on the Gaussian derivative. However, the frequency spectrum is not satisfied the FCC spectral mask requirement. In this study, the Gaussian pulse can be designed from the mathematical characteristic of the generalized Bessel polynomial. The spectral efficiency of the proposed pulse can be improved by the combination of the derivative of Gaussian pulse with a weight coefficient optimization with particle swarm optimization (PSO). PSO is a population-based optimization algorithm inspired by animal behavior. PSO is applied with generalized Bessel polynomial transfer function to gain the best weight coefficient, we proposed to optimize its weight vector to design a pulse that exceeds to FCC spectral mask. The results were found in MATLAB software show that generalized Bessel polynomials can approximate the proposed pulse with combination method and PSO. The spectral efficiency is improved to 89.30% and the spectrum is greater close to the FCC spectral mask requirement. To confirm an improved spectral efficiency compared to the previous works.","PeriodicalId":425561,"journal":{"name":"J. Mobile Multimedia","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117321591","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 : 2022-03-21DOI: 10.13052/jmm1550-4646.1841
M. Dadhich, K. Hiran, Shalendra Singh Rao, Renu Sharma
The education system has been brought to a halt due to pandemics around the globe. This study outlines the effect of Covid-19 on the teaching-learning perception of faculties and students of higher education in India. The recent pandemic has provided an impetus for the improvements in teaching and implementation of virtual education. Given the lack of information about how long the pandemic will go on, the demand for the current crisis is a steady move to e-education. The authority has introduced several e-platforms with online shops, e-contents, and other online material. Combining conventional technology (radio, TV, landline phone) with mobile/web technologies would improve connectivity and versatility with all tools. The paper employed a quantitative method to examine the perceptions of teachers and students’ perceptions of e-teaching and e-learning methods. It underlined the application practice of online teaching-learning modes by considering 500 respondents. This study aims to give a holistic view of the ongoing online teaching-learning activities during the pandemic lockdown. The study also found no considerable difference between teacher/learner satisfaction during this academic disruption. Soil recommendations, managerial implications, future scope and conclusion can also be helpful for policymakers, academics, and content analytics to draw a plan of action for e-learning.
{"title":"Impact of Covid-19 on Teaching-Learning Perception of Faculties and Students of Higher Education in Indian Purview","authors":"M. Dadhich, K. Hiran, Shalendra Singh Rao, Renu Sharma","doi":"10.13052/jmm1550-4646.1841","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.1841","url":null,"abstract":"The education system has been brought to a halt due to pandemics around the globe. This study outlines the effect of Covid-19 on the teaching-learning perception of faculties and students of higher education in India. The recent pandemic has provided an impetus for the improvements in teaching and implementation of virtual education. Given the lack of information about how long the pandemic will go on, the demand for the current crisis is a steady move to e-education. The authority has introduced several e-platforms with online shops, e-contents, and other online material. Combining conventional technology (radio, TV, landline phone) with mobile/web technologies would improve connectivity and versatility with all tools. The paper employed a quantitative method to examine the perceptions of teachers and students’ perceptions of e-teaching and e-learning methods. It underlined the application practice of online teaching-learning modes by considering 500 respondents. This study aims to give a holistic view of the ongoing online teaching-learning activities during the pandemic lockdown. The study also found no considerable difference between teacher/learner satisfaction during this academic disruption. Soil recommendations, managerial implications, future scope and conclusion can also be helpful for policymakers, academics, and content analytics to draw a plan of action for e-learning.","PeriodicalId":425561,"journal":{"name":"J. Mobile Multimedia","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132371028","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 : 2022-03-21DOI: 10.13052/jmm1550-4646.18415
B. R. Prabhu, S. Seema
In this day and age of data innovation, vast amounts of data are being generated daily, much of it is useless to the general public unless it is correctly handled. This year has seen a huge increase in social networks’ relevance, resulting in vast quantities of data provided by users. This vast amount of information is gathered from a variety of sources, including company websites, customer blogs, and item reviews. The text outline is probably the most significant point of view in daily life. Analysis of text sentiment is a method for assessing, summarising, and drawing conclusions about the most important content. In the field of sentiment analysis, attention methods have been crucial since they make use of sentiment lexicons to gather a huge amount of sentiment polarity information. With an attention mechanism that acts as a link between linguistic information with a strong emotional component and deep learning algorithms, it may be possible to boost text sentiment significantly. In the LSTM model, word sequence addictions can be captured over the long term. For the first time, scientists have developed an attention model that combines LSTM with an incredibly deep RNN model to tackle the problem of sentiment analysis in the real world. The iterative method trains the first set of word embeddings using a Word to Vector technique. With the Word2Vec algorithm, text strings are converted into a numerical value vector and distance between words and comparative words based on meaning are calculated. Using the attention strategy has the added benefit of potentially enhancing machine learning’s ability to learn sentiment representations. The attention model is more scalable and adaptable than previous approaches. The major objective of this work is to assess feelings and develop an abstracted content outline, decide on the semantic summarization of different materials and effectively process the data.
在这个数据创新的时代，每天都会产生大量的数据，除非处理得当，否则大部分数据对公众来说都是无用的。今年，社交网络的相关性大幅增加，导致用户提供了大量数据。这些大量的信息来自各种来源，包括公司网站、客户博客和商品评论。文本大纲可能是日常生活中最重要的观点。文本情感分析是对最重要的内容进行评估、总结和得出结论的一种方法。在情感分析领域，注意方法一直是至关重要的，因为它利用情感词汇来收集大量的情感极性信息。有了一种关注机制，作为带有强烈情感成分的语言信息与深度学习算法之间的联系，就有可能显著提升文本情感。在LSTM模型中，可以长期捕获词序列成瘾。科学家们第一次开发了一种将LSTM与一种令人难以置信的深度RNN模型相结合的注意力模型，以解决现实世界中的情感分析问题。迭代方法使用word to Vector技术训练第一组词嵌入。Word2Vec算法将文本字符串转换为数值向量，并根据意义计算词与比较词之间的距离。使用注意力策略还有一个额外的好处，那就是潜在地增强机器学习学习情感表征的能力。注意模型比以前的方法更具可扩展性和适应性。这项工作的主要目的是评估感受并制定抽象的内容大纲，确定不同材料的语义摘要并有效地处理数据。
{"title":"Sentiments Analysis and Text Summarization of Medicine Reviews Using Deep Sequential Iterative Model with Attention Encoder","authors":"B. R. Prabhu, S. Seema","doi":"10.13052/jmm1550-4646.18415","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.18415","url":null,"abstract":"In this day and age of data innovation, vast amounts of data are being generated daily, much of it is useless to the general public unless it is correctly handled. This year has seen a huge increase in social networks’ relevance, resulting in vast quantities of data provided by users. This vast amount of information is gathered from a variety of sources, including company websites, customer blogs, and item reviews. The text outline is probably the most significant point of view in daily life. Analysis of text sentiment is a method for assessing, summarising, and drawing conclusions about the most important content. In the field of sentiment analysis, attention methods have been crucial since they make use of sentiment lexicons to gather a huge amount of sentiment polarity information. With an attention mechanism that acts as a link between linguistic information with a strong emotional component and deep learning algorithms, it may be possible to boost text sentiment significantly. In the LSTM model, word sequence addictions can be captured over the long term. For the first time, scientists have developed an attention model that combines LSTM with an incredibly deep RNN model to tackle the problem of sentiment analysis in the real world. The iterative method trains the first set of word embeddings using a Word to Vector technique. With the Word2Vec algorithm, text strings are converted into a numerical value vector and distance between words and comparative words based on meaning are calculated. Using the attention strategy has the added benefit of potentially enhancing machine learning’s ability to learn sentiment representations. The attention model is more scalable and adaptable than previous approaches. The major objective of this work is to assess feelings and develop an abstracted content outline, decide on the semantic summarization of different materials and effectively process the data.","PeriodicalId":425561,"journal":{"name":"J. Mobile Multimedia","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128092172","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 : 2022-03-21DOI: 10.13052/jmm1550-4646.18410
Ravi Prasad Ravuri
The objective of this paper is to explore the connotation among refractive error, intraocular pressure (IOP), and primary open-angle glaucoma (POAG) among the Wheatish populace. Population-based studies give significant data with respect to the predominance and hazard factors which include refractive error for glaucoma. The connotation between myopia and glaucoma is robust at lower IOP levels and deteriorated slowly with increasing IOP. This study shows the relationship between IOP and glaucoma is solid at a lower mean value of 15 ±± 3.23 levels and debilitated progressively with expanding IOP of 17.59 ±± 3.33 for PACG, 18.85 ±± 1.20 for POAG, 18.59 ±± 2.52 for PIGM and 19.12 ±± 1.42 for OH among Wheatish population. The illustration of glaucoma in myopic eyes deteriorated with growing IOP and no association has been detected with IOP ≥≥35 mmHg.
{"title":"Consanguinity Among Refractive Error, Intraocular Pressure and Etiology of Glaucoma in Diabetics Among Wheatish Population","authors":"Ravi Prasad Ravuri","doi":"10.13052/jmm1550-4646.18410","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.18410","url":null,"abstract":"The objective of this paper is to explore the connotation among refractive error, intraocular pressure (IOP), and primary open-angle glaucoma (POAG) among the Wheatish populace. Population-based studies give significant data with respect to the predominance and hazard factors which include refractive error for glaucoma. The connotation between myopia and glaucoma is robust at lower IOP levels and deteriorated slowly with increasing IOP. This study shows the relationship between IOP and glaucoma is solid at a lower mean value of 15 ±± 3.23 levels and debilitated progressively with expanding IOP of 17.59 ±± 3.33 for PACG, 18.85 ±± 1.20 for POAG, 18.59 ±± 2.52 for PIGM and 19.12 ±± 1.42 for OH among Wheatish population. The illustration of glaucoma in myopic eyes deteriorated with growing IOP and no association has been detected with IOP ≥≥35 mmHg.","PeriodicalId":425561,"journal":{"name":"J. Mobile Multimedia","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115455989","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 : 2022-03-21DOI: 10.13052/jmm1550-4646.18411
Jeevana Jyothi Pujari, Karteeka Pavan Kanadam
Multiple Sequence Alignment (MSA) is a critical step in molecular biology. Different techniques are having been proposed for obtaining optimal alignments, still, there is a need of developing accurate and efficient techniques for optimal sequence alignment. One of the efficient techniques among the swarm optimization families is Brain Storm Optimization Technique based on human social behavior has achieved success in numerous applications. However, population divergence plays a major role in obtaining better solutions for optimization problems. Therefore, high diverged populations obtain optimal results. The multiple sequences alignment is an efficient optimization for dataset analysis but hidden samples do not get tracked by MSA. Therefore DBSO_MSA model requirement is there to crossover limitations of the above model. This paper proposed a dynamic clustered and populated Brain Storm Optimization Algorithm for obtaining more optimal alignment solutions for the Multiple Sequence Alignment problem (DBSO-MSA). The dynamic nature with respect to the number of clusters and population generation at every iteration is incorporated into BSO. The number of solutions and cluster size at each iteration is controlled by the probability variable either it increases or decreases the solution space to explore more diversification in obtaining alignments for the MSA problem. The experiments show DBSO-MSA effectively improves the alignment score on the benchmark sequence datasets compared to the Classical BSO and other evolutionary algorithms.
{"title":"The Brain Storm Dynamic Technique DBSO-MSA for Efficiently Resolving Multiple Sequence Alignment","authors":"Jeevana Jyothi Pujari, Karteeka Pavan Kanadam","doi":"10.13052/jmm1550-4646.18411","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.18411","url":null,"abstract":"Multiple Sequence Alignment (MSA) is a critical step in molecular biology. Different techniques are having been proposed for obtaining optimal alignments, still, there is a need of developing accurate and efficient techniques for optimal sequence alignment. One of the efficient techniques among the swarm optimization families is Brain Storm Optimization Technique based on human social behavior has achieved success in numerous applications. However, population divergence plays a major role in obtaining better solutions for optimization problems. Therefore, high diverged populations obtain optimal results. The multiple sequences alignment is an efficient optimization for dataset analysis but hidden samples do not get tracked by MSA. Therefore DBSO_MSA model requirement is there to crossover limitations of the above model. This paper proposed a dynamic clustered and populated Brain Storm Optimization Algorithm for obtaining more optimal alignment solutions for the Multiple Sequence Alignment problem (DBSO-MSA). The dynamic nature with respect to the number of clusters and population generation at every iteration is incorporated into BSO. The number of solutions and cluster size at each iteration is controlled by the probability variable either it increases or decreases the solution space to explore more diversification in obtaining alignments for the MSA problem. The experiments show DBSO-MSA effectively improves the alignment score on the benchmark sequence datasets compared to the Classical BSO and other evolutionary algorithms.","PeriodicalId":425561,"journal":{"name":"J. Mobile Multimedia","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114895903","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 : 2022-03-21DOI: 10.13052/jmm1550-4646.18412
S. Sitjongsataporn, S. Prongnuch
This paper presents a spline-based Hammerstein model for adaptive filtering based on a sign algorithm with the normalised orthogonal gradient algorithm. Spline-based Hammerstein architecture consists of an interpolation spline-based adaptive lookup table in the part of nonlinear filter and an adaptive finite impulse response filter used in the part of linear filter. Hammerstein spline adaptive filter (HSAF) is a nonlinear filter for the nonlinear systems among the advantages in the low computational cost and high performance. An adaptive lookup table and spline control points are determined and derived with the orthogonal gradient-based mechanism. Performance analysis in terms of convergence properties and mean square analysis based on the mean square error (MSE) constraint are proven by using the Taylor series expansion of the estimation error in the form of the excess MSE. Experimental results indicate the robust performance of the proposed algorithm can provide the better performance than the other models based on the conventional least mean square Hammerstein spline adaptive filtering algorithm.
{"title":"Performance Analysis of Orthogonal Gradient Sign Algorithm Using Spline-based Hammerstein Model for Smart Application","authors":"S. Sitjongsataporn, S. Prongnuch","doi":"10.13052/jmm1550-4646.18412","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.18412","url":null,"abstract":"This paper presents a spline-based Hammerstein model for adaptive filtering based on a sign algorithm with the normalised orthogonal gradient algorithm. Spline-based Hammerstein architecture consists of an interpolation spline-based adaptive lookup table in the part of nonlinear filter and an adaptive finite impulse response filter used in the part of linear filter. Hammerstein spline adaptive filter (HSAF) is a nonlinear filter for the nonlinear systems among the advantages in the low computational cost and high performance. An adaptive lookup table and spline control points are determined and derived with the orthogonal gradient-based mechanism. Performance analysis in terms of convergence properties and mean square analysis based on the mean square error (MSE) constraint are proven by using the Taylor series expansion of the estimation error in the form of the excess MSE. Experimental results indicate the robust performance of the proposed algorithm can provide the better performance than the other models based on the conventional least mean square Hammerstein spline adaptive filtering algorithm.","PeriodicalId":425561,"journal":{"name":"J. Mobile Multimedia","volume":"126 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129754560","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 : 2022-03-21DOI: 10.13052/jmm1550-4646.18414
M. Sowmya, Bojan Subramani
Disease detection in plant leaf helps farmers to protect the plant from diseases at its early stage. The most important problems are determining and anticipating plant diseases, which may be addressed for increasing output. In this research, Rider Cuckoo Search algorithm is improved with K nearest neighbour algorithm is used to classify the diseased leaf. Initially the Gaussian filtering is used in pre-processing to remove the noises in image. Following getting pre-processed image, it is exposed to segmentation step, which uses piecewise fuzzy C-means (piFCM) clustering to acquire the segments. Segmentation involves the feature extraction process which has information gain, histogram of oriented gradients (HOG), and entropy. Finally plant Disease is classified using the KNN algorithm. This proposed algorithm is implemented with the images of the plant village dataset. The proposed research work is evaluated using certain parameters like accuracy of the disease detection, Error of the algorithm, Speed of the algorithm, and time for classifying the disease. The Proposed algorithm outperformed with the values of 99.32% accuracy, 0.68% error, 2400 obs/sec speed, and time taken is 0.57743 sec respectively when compared with the existing algorithms like Hybrid SIFT algorithm, Hybrid K-means Fuzzy logic SVM algorithm, and Cuckoo Search Algorithm.
{"title":"Superlative Approach for Plant Disease Identification with Enhanced CSA Algorithm","authors":"M. Sowmya, Bojan Subramani","doi":"10.13052/jmm1550-4646.18414","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.18414","url":null,"abstract":"Disease detection in plant leaf helps farmers to protect the plant from diseases at its early stage. The most important problems are determining and anticipating plant diseases, which may be addressed for increasing output. In this research, Rider Cuckoo Search algorithm is improved with K nearest neighbour algorithm is used to classify the diseased leaf. Initially the Gaussian filtering is used in pre-processing to remove the noises in image. Following getting pre-processed image, it is exposed to segmentation step, which uses piecewise fuzzy C-means (piFCM) clustering to acquire the segments. Segmentation involves the feature extraction process which has information gain, histogram of oriented gradients (HOG), and entropy. Finally plant Disease is classified using the KNN algorithm. This proposed algorithm is implemented with the images of the plant village dataset. The proposed research work is evaluated using certain parameters like accuracy of the disease detection, Error of the algorithm, Speed of the algorithm, and time for classifying the disease. The Proposed algorithm outperformed with the values of 99.32% accuracy, 0.68% error, 2400 obs/sec speed, and time taken is 0.57743 sec respectively when compared with the existing algorithms like Hybrid SIFT algorithm, Hybrid K-means Fuzzy logic SVM algorithm, and Cuckoo Search Algorithm.","PeriodicalId":425561,"journal":{"name":"J. Mobile Multimedia","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114472951","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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