2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)最新文献_第7页

Review of Face Recognition Techniques for Secured Cloud Data Surveillance using Machine Learning 使用机器学习进行安全云数据监控的人脸识别技术综述

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371856

Saikrishna Muddala, C. Ramakrishnan

{"title":"Review of Face Recognition Techniques for Secured Cloud Data Surveillance using Machine Learning","authors":"Saikrishna Muddala, C. Ramakrishnan","doi":"10.1109/CITISIA50690.2020.9371856","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371856","url":null,"abstract":"Face recognition techniques are used in the cloud environment for securing the cloud data from intrusion activities. Face recognition techniques help detect any kind of intrusion activities and in protecting cloud data from intrusion activities. Face recognition techniques help extract and secure the information embedded into cloud data by using different machine learning-based methods. In a cloud environment, recognition techniques can be used in identifying accurate information from the image as well as speech signals. Machine learning and deep learning-based techniques help increase the accuracy of recognition in the cloud environment. The main aim of this research is to identify efficient face recognition techniques that can be implemented in the cloud environment for securing data stored on the cloud network. Cloud data, behaviour detection, and recognition are the major components that help develop an efficient system to be implemented in a cloud environment for achieving secure data surveillance and to secure data stored on the cloud environment from any network intrusion activities. Analysis and evaluation of these components help in developing an efficient system based on machine learning techniques that help in recognizing different activities and in detecting intruder activities in the cloud environment. Classification of all the system components helps in identifying efficient machine learning-based face recognition system for obtaining secure cloud data surveillance.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121965662","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}

引用次数: 2

Advanced Cascaded Anisotropic Convolutional Neural Network Architecture Based Optimized Feature Selection Brain Tumour Segmentation and Classification 基于优化特征选择的高级级联各向异性卷积神经网络结构

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371807

Sajana Shresta, S. M. N. Arosha Senanayake, Joko Triloka

{"title":"Advanced Cascaded Anisotropic Convolutional Neural Network Architecture Based Optimized Feature Selection Brain Tumour Segmentation and Classification","authors":"Sajana Shresta, S. M. N. Arosha Senanayake, Joko Triloka","doi":"10.1109/CITISIA50690.2020.9371807","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371807","url":null,"abstract":"The purpose of the research is to find out how deep learning and the convolutional neural network will contribute to diagnosis, early detection and segmentation of brain tumors such as glioma, benign, malignant, etc. The aim is to achieve a higher degree of segmentation quality to resolve issues related to lack of the classification accuracy and poor performance in the segmentation and detection of tumors. The presented solution is an Advanced Cascaded Anisotropic Convolutional Neural Network (CA-CNN) architecture with an optimized feature selection method. The DFP (Data collection, feature extraction & selection and prediction) taxonomy is presented that involves data acquiring, data pre-processing, feature extraction, selection and prediction methods for effective tumor segmentation and detection. The presented system will enhance the prediction accuracy and involves the genetic algorithm for effective selection of features which prevents data redundancy and reduce the delay in the detection of tumors. The utilization of genetic algorithm minimizes the redundancy within input voxels and facilitates in the optimal selection of features which improves the classification accuracy of the solution. The research conducted is to improve the brain tumor segmentation and detection process in terms of accuracy, specificity and sensitivity using multi-scale prediction and cross-validation.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126737504","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}

引用次数: 0

Content Caching and Clock Synchronization Assisted Low-Latency Communication in 5G Networks 5G网络中的内容缓存和时钟同步辅助低延迟通信

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371822

Senura N. Liyanage, S. M. N. Arosha Senanayake

{"title":"Content Caching and Clock Synchronization Assisted Low-Latency Communication in 5G Networks","authors":"Senura N. Liyanage, S. M. N. Arosha Senanayake","doi":"10.1109/CITISIA50690.2020.9371822","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371822","url":null,"abstract":"The 5G era currently dawned upon the world has broadened the scope significantly from the previous generations by creating a space for multitude of advanced technologies integration and seamless delivery of many wireless services from many different domains. Two of the key areas that already started to have a huge impact by capabilities of 5G are cloud computing and Internet of Things (IoT). A fully-fledged 5G environment will also leverage cloud resource access to cater the promising low-latency, high reliability and network efficiency. There are various challenges to fully utilize the 5G architecture to cater the unprecedented amount of applications with the effective integration of cloud. Numerous researches have conducted studies with focus on different aspects of cloud for exploring what solutions would suite the best. The low latency requirement of 5G has been a major challenge to fulfill and several researches have proposed a wide variety of state-of-the-art solutions that could immensely contribute to overcoming this challenge. Content caching in cloud and clock synchronization are two of the hot topics among many researches and we believe solutions incorporated by these can revolutionize the way 5G environments are built that can easily meet the IoT demands. This paper will conduct a comprehensive review on 7 best research papers that have specifically focused on content caching and clock synchronization to meet the stringent low-latency requirement of 5G networks. This review presents set of state-of-the-art research solutions with content caching and clock synchronization approaches that are available to build a more coherent and resilient 5G architecture design to meet the low-latency constraints very effectively for IoT devices and smart applications.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116502882","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}

引用次数: 1

Optimizing Mutant Generation For Lustre Programs With Multi-Threading 基于多线程的Lustre程序突变体生成优化

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9397490

Le Van Phol, N. Binh

引用次数: 1

Smart farm and monitoring system for measuring the Environmental condition using wireless sensor network - IOT Technology in farming 智能农场和监测系统，用于测量农业中的无线传感器网络-物联网技术的环境状况

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371830

Tharindu Bandara, Wanninayaka Mudiyanselage, M. Raza

{"title":"Smart farm and monitoring system for measuring the Environmental condition using wireless sensor network - IOT Technology in farming","authors":"Tharindu Bandara, Wanninayaka Mudiyanselage, M. Raza","doi":"10.1109/CITISIA50690.2020.9371830","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371830","url":null,"abstract":"Internet of things (IoT) gives a new proportion of smart farming and agriculture territory. Because with the development of the current world, the internet of things field has peaked with modern technology and modern techniques. In the modern world, IoT is used in every domain like smart city, smart university, smart car park system, etc. This paper is about the implementation of the smart farm. IoT concept helps in cost-efficient farming activities like crop and other resource management. With a wireless sensor network, it is easy to connect with every sensor node placed in the farming environment. Also, with the wireless sensor network, it can connect with long-distance ranges. With the help of a sensor network, it can collect the data from the farming environment and analyze it according to the pre-defined values. The proposed system used IoT sensors to collect the data are soil moisture sensors, temperature sensors, water volume sensors, etc. According to the existing system analysis, the proposed solution contains a smart farm environment and a real-time monitoring system with the wireless sensor network for node connectivity. The proposed system provides a more reliable and flexible smart concept for the farmers, and it is a simple architecture that contains the IoT sensors that collect the data from the farm field and transfer those data through wireless sensor network to the central server and according to the input data, the primary server assigning the task to the particular devices.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125395666","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}

引用次数: 14

Computational Intelligence in Photonics Technology and Optical Networks: A Survey and Future Perspectives 光子技术与光网络中的计算智能:综述与展望

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371775

Gigi Varghese, Nurfiana

{"title":"Computational Intelligence in Photonics Technology and Optical Networks: A Survey and Future Perspectives","authors":"Gigi Varghese, Nurfiana","doi":"10.1109/CITISIA50690.2020.9371775","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371775","url":null,"abstract":"Increased use of internet services require the implementation of optical networks for increasing the reliability of the services efficiently. The optical network requires managing available bandwidth and components to manage the functional complexity of the network. Photonic technology helps in optimising the network designing that increases the complexity of the network. Computational intelligence is the technique that can be implemented in the optical network for reducing the complexity of different applications of photonics technology. The main aim of this study is to realise the photonic technique in optical network-based infrastructure to resolve different optimisation issues. This research is focused on identifying an efficient computational intelligence-based mathematical model that can be implemented in the optical network for obtaining high-performance computing. Network environment, optical communication, and optical performance monitoring are the major components required for developing the system for optical networks. Evaluation and description of these components help in developing a required photonic based optical network that helps in reducing the complexity of the system in computational intelligence. Classification of the developed system helps in identifying the computational intelligence technique to be implemented in photonic technology for increasing the efficiency of the optical network.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122219121","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}

引用次数: 0

Proposing 2-tier Architecture for Permission-ed and Permission-less Blockchain Consensus Algorithms Based on Voting System 提出基于投票系统的有权限和无权限区块链共识算法的两层架构

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371832

M. Khalid, Mohsin Murtaza, A. Saeed, M. Raza

{"title":"Proposing 2-tier Architecture for Permission-ed and Permission-less Blockchain Consensus Algorithms Based on Voting System","authors":"M. Khalid, Mohsin Murtaza, A. Saeed, M. Raza","doi":"10.1109/CITISIA50690.2020.9371832","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371832","url":null,"abstract":"With the rapid use of internet technology, security and performance are always at risk. The data on the internet can be compromised and the performance can be bottlenecked. The solution to this problem is the blockchain technology. Reason for choosing this field is because blockchain is a new technology and now it is one of the most demanding field in the IT sector. Blockchain is based on peer-to-peer topology containing connected nodes. Each node has cryptographic hash of the previous node (no malicious or unauthorized node can enter the linked nodes), timestamp and relevant data. Blockchain provides resistance against the unwanted interference and modification of the data and each node has separate processing power thus enhancing security and performance of the host network. Permission-ed and Permission-less blockchain have their own properties and limitations and they can be used in different scenarios. In permission-less blockchain the nodes can be public, anyone can add nodes to increase the performance (Bitcoin), while permission-ed blockchain is used within enterprise or between enterprises where the nodes are private and new nodes need authorization to be added in link nodes. The aim of this paper is to study the permission-ed and permission less blockchain, their similarities and differences, some of the consensus algorithms they use. Outcome of the paper will be understanding of some of the consensus algorithms and proposing a two-tier architecture which will contain voting based algorithm for enhanced performance.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"7 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120859878","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}

引用次数: 0

A Hybrid Method of Smart Scanning and Terrestrial Laser Scanner (SSaTLS): Improving the Accuracy of the Measurement Method 一种智能扫描与地面激光扫描仪(SSaTLS)的混合方法:提高测量方法的精度

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371849

Binh Anh Minh Ngo, A. Alsadoon, P. Prasad, Indra Seher, Tarik A. Rashid, Paul Manoranjan

{"title":"A Hybrid Method of Smart Scanning and Terrestrial Laser Scanner (SSaTLS): Improving the Accuracy of the Measurement Method","authors":"Binh Anh Minh Ngo, A. Alsadoon, P. Prasad, Indra Seher, Tarik A. Rashid, Paul Manoranjan","doi":"10.1109/CITISIA50690.2020.9371849","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371849","url":null,"abstract":"This research aims to evaluate and enhance the accuracy and processing time of image processing methods through Laser Scanning. Additionally, it explains the limitations of 3D scanning and rendering. The research focuses on enhancing the accuracy of rendering images and reducing processing time. This is achieved, firstly, through a review of relevant literature dealing with creating methods which will optimize the structure of the captured object by changing a mesh object to a point cloud. This is designed to support construction sites, indoor and outdoor, by increasing both the speed of the 3D model rendering and the outcome in terms of precision. Based on these findings, a faster and more secure construction environment can be produced. During the research process, the main finding concerns 3D Scanning and Printing since these processes need to lead to higher accuracy and acceptable processing times. The 3D object can be generated from Smart Scanning to form point clouds which constitute the first look of that object. This goal was reached since this method can reduce the processing time while maintaining higher level of accuracy. The hybrid solution contributes a more stabilized visualization in Laser Scanning, not only for indoor lab experiments, but also for outdoor field tests. The flexibility added by the algorithm plus the range of technical support allow the Laser Scanners to produce high quality visualizations in all fields.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115064365","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}

引用次数: 0

Digital Energy Management amid the COVID-19 Pandemic in Mauritius 2019冠状病毒病大流行期间毛里求斯的数字能源管理

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371854

K. Rama, N. G. Sahib-Kaudeer

引用次数: 2

Post study of Blockchain in smart health environment 区块链在智能健康环境中的后期研究

2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) Pub Date : 2020-11-25 DOI: 10.1109/CITISIA50690.2020.9371819

Mansukhdeep Kaur, Mohsin Murtaza, Mostafa Habbal

{"title":"Post study of Blockchain in smart health environment","authors":"Mansukhdeep Kaur, Mohsin Murtaza, Mostafa Habbal","doi":"10.1109/CITISIA50690.2020.9371819","DOIUrl":"https://doi.org/10.1109/CITISIA50690.2020.9371819","url":null,"abstract":"Blockchain technology is being popular day by day and also serving in many applications and areas such as Internet of Things, Cloud Computing, Big data, Healthcare and many more because of its security strengths and benefits. It has been proven that blockchain applications are being utilized in healthcare to deliver secure data and to manage the medical data safely. Moreover, blockchain is transforming the traditional medical practices in effective ways such as diagnosing the problems effectively and treating through secure information sharing. There is no doubt to say that in future, blockchain will be performing in personalized, valid and secure healthcare by combining the medical information of patient and providing in a secure and updated setup. In this research paper, securities of healthcare applications and traditional and recent security developments are discussed. Due to Covid-19, it has become challenging for healthcare officials and government to protect and record individuals sensitive data safely. Also, spread of misleading information has been also increased during the pandemic and inability of existing platform for information validation leads to public panic.Implementation of blockchain-based tracking systems is essential for accurate and valid information sharing among people and Government. This paper focus on information security issues raised by Covid-19 pandemic as well as implementation of blockchain-based platform in healthcare to record and protect covid-19 related information and contact tracing.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133260208","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}

引用次数: 5