Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications最新文献

A review on vision-based vehicle identification using convolutional neural network 基于卷积神经网络的车辆视觉识别研究进展

Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications Pub Date : 2020-09-24 DOI: 10.1145/3415088.3415112

Mpho Moaga, Tu Chunling, P. Owolawi

{"title":"A review on vision-based vehicle identification using convolutional neural network","authors":"Mpho Moaga, Tu Chunling, P. Owolawi","doi":"10.1145/3415088.3415112","DOIUrl":"https://doi.org/10.1145/3415088.3415112","url":null,"abstract":"Vehicle Identification is a paradigm of Intelligent Traffic System (ITS) that is continuously being researched to improve current challenges on the road. As results, Intelligent Traffic Systems provides smarter and safer operational decisions with higher behavioural understanding. One of the important segments that improve identification is the paradigm of computer vision-based identification, which provides informative visual data of vehicles. In this paper, we review the current active body of knowledge on vehicle identification based on computer vision using Deep Neural Network's (DNN) sub-paradigm Convolutional Neural Network (CNN), by exploring different techniques and challenges. In proven in previous experiments, CNN presents a large accuracy and great results in object detection and classification. Therefore, the focus of the paper will be on the types of CNN in implemented in existing literature. Furthermore, a literature critique and analysis performance review of CNN methods for vehicle identification will be conducted. From the critique results, we further discuss future research that will further contribute to the body of knowledge.","PeriodicalId":274948,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129366971","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

Correction of converging verticals distortion due to camera pose and position 修正了由于相机姿势和位置引起的垂直畸变

Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications Pub Date : 2020-09-24 DOI: 10.1145/3415088.3415123

James Sewell, T. V. van Niekerk, R. Phillips

引用次数: 0

Educational gamification and artificial intelligence for promoting digital literacy 教育游戏化和人工智能促进数字扫盲

Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications Pub Date : 2020-09-24 DOI: 10.1145/3415088.3415107

Shamini Koravuna, Uday Kumar Surepally

{"title":"Educational gamification and artificial intelligence for promoting digital literacy","authors":"Shamini Koravuna, Uday Kumar Surepally","doi":"10.1145/3415088.3415107","DOIUrl":"https://doi.org/10.1145/3415088.3415107","url":null,"abstract":"There is a need for promoting digital literacy and providing education for all especially women of the world to achieve the United Nations Sustainable Development Groups (UNSDGs) 4 and 5 quality education and gender equality. The field of education is continuously exploring the methods to respond to the fast-approaching impact of artificial intelligence across all sectors and fields including its own. Right from e- commerce to health care to education, in every sector, the intervention of artificial intelligence has increased multifold. Especially in education, it is more as artificial intelligence systems can adapt to individual student learning and grasping abilities to give hyper-personalized learning experience. In addition to AI, involving gamification would be an add-on that would lead to better user engagement and encourages them to be continuous learners, it also converts the conventional classroom experience into a competitive multi-player gaming and learning platform, and efforts can be put to promote digital literacy among them while both AI and gamification is being implemented.","PeriodicalId":274948,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125685389","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: 4

Scene detection and recognition by analysing deep features using PlacesCNN 基于PlacesCNN深度特征分析的场景检测与识别

Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications Pub Date : 2020-09-24 DOI: 10.1145/3415088.3415091

Priyal Sobti, A. Nayyar, Niharika, P. Nagrath

{"title":"Scene detection and recognition by analysing deep features using PlacesCNN","authors":"Priyal Sobti, A. Nayyar, Niharika, P. Nagrath","doi":"10.1145/3415088.3415091","DOIUrl":"https://doi.org/10.1145/3415088.3415091","url":null,"abstract":"Scene recognition is employed for recognizing images along with some other visual features to collect information from it. As a field, it has turned out to be useful for digital marketers. Digital marketers can identify a consumer's favorite hangout spot like a cafe or bar based on his/her social media posts or uploads. Other applications include using the information from the pictures by the tour guide. CNNs help to identify whether the images belong to a specific class or not like a playground, classroom, dining room depending on the dataset. Different types of CNNs have been used to perform the classification task ranging from PlacesCNN, ImageNetCNN, HybridCNN and much more. PlacesCNN has been implemented using architectures namely AlexNet, GoogleNet and VGG. The objective of the paper is to study and analyze the performance for PlacesCNN based on VGG architecture to classify images into their correct classes along with determining the accuracy for the same. Using the pretrained model for PlacesCNN and the concept of transfer learning, we have been able to perform the task of scene recognition and achieve an accuracy of 98.25% for the same.","PeriodicalId":274948,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133924958","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

Modified grasshopper optimisation algorithm 改进的蚱蜢优化算法

Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications Pub Date : 2020-09-24 DOI: 10.1145/3415088.3415092

Rajani Kumari, Sandeep Kumar, A. Nayyar

引用次数: 4

Opportunistic security architecture for osmotic computing paradigm in dynamic IoT-Edge's resource diffusion 动态IoT-Edge资源扩散中渗透计算范式的机会主义安全架构

Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications Pub Date : 2020-09-24 DOI: 10.1145/3415088.3415097

Likhwa Mlotshwa, Sheunesu M. Makura, Nickson M. Karie, V. Kebande

{"title":"Opportunistic security architecture for osmotic computing paradigm in dynamic IoT-Edge's resource diffusion","authors":"Likhwa Mlotshwa, Sheunesu M. Makura, Nickson M. Karie, V. Kebande","doi":"10.1145/3415088.3415097","DOIUrl":"https://doi.org/10.1145/3415088.3415097","url":null,"abstract":"Increased heterogeneity of physical resources has had positive and negative effects in Internet of Things (IoT) through the existence of edge computing. As a result, there has been a need for effective dynamic management of IoT, cloud and edge resources, in order to address the existence of low-level constraints during resource migration. Nevertheless, the explosion of IoT devices and data has allowed orchestration of microservices to adopt an opportunistic approach to how applications and services are deployed in the edge in IoT platform. A notable approach has been osmotic computing that allows resources from a federated cloud to be able to diffuse from an ecosystem of higher solute (network properties and entities) concentration to solvent (applications, layered interfaces and services). We posit that, while computing resources and applications are able to move from the federated environment, to the cloud deployable models, to the edge, then to IoT ecosystem, there is a higher chance of susceptibility of threats and attacks that may be directed to the emerging edge applications/data due to dynamic emergent configurations. This paper proposes a 5-layer opportunistic architecture that adds security metrics across different levels of osmotic computing paradigm. The proposed 5-layer security architecture addresses the need for autonomously securing resources-edge computation, edge storage and emerging edge configurations as the computing resources move to a higher solute in heterogenous edge and cloud datacenters across IoT devices. This has been achieved by proposing security metrics that address the prevailing challenge with a degree of certainty.","PeriodicalId":274948,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131279373","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

Analysis of the IEC 61850 protocol when used for communication during maintenance operation in an electrical substation grid IEC 61850协议在变电站电网维护操作期间用于通信的分析

Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications Pub Date : 2020-09-24 DOI: 10.1145/3415088.3415133

Dion Njova, K. Ogudo, P. Umenne

{"title":"Analysis of the IEC 61850 protocol when used for communication during maintenance operation in an electrical substation grid","authors":"Dion Njova, K. Ogudo, P. Umenne","doi":"10.1145/3415088.3415133","DOIUrl":"https://doi.org/10.1145/3415088.3415133","url":null,"abstract":"During Substation maintenance a bay is taken out of service, tested and while testing traffic is generated on the Substation Communication Network (SCN) in a power utility. Currently in an eastern SCN at the ESKOM power utility in South Africa DNP3 protocol is utilized to communicate. This paper models the said SCN while using the International Electrotechnical Commission (IEC) 61850 protocol to communicate in order to improve performance in the network. Hence a model of a Substation Communication Network that is using the IEC 61850 protocol has been modeled in Optimized Network Engineering Tool (OPNET). IEC 61850 is a protocol that can be used in a power utility to provide interoperability between different vendors of Intelligent Electronic Devices (IED's). Most of the IED's sold by manufacturers for power utility networks support IEC 61850 protocol. The model has three scenarios and they are normal operation of a Substation, maintenance in a Substation and Buszone operation at a Substation. In these scenarios packet end to end delay of GOOSE, GSSE, SV and MMS messages are monitored. The throughput from the IED under maintenance and the throughput at the Substation RTU end is monitored in the Model. The design of the Substation Communication Network using IEC 61850 will assist when trying to predict the behavior of the network with regards to this specific protocol during maintenance and when there are faults in the communication network or IED's.","PeriodicalId":274948,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131311720","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

Towards internet connectivity for all: an exploration of a community network model 面向所有人的互联网连接:社区网络模式的探索

Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications Pub Date : 2020-09-24 DOI: 10.1145/3415088.3415132

Esmerelda Presens, S. Pather

{"title":"Towards internet connectivity for all: an exploration of a community network model","authors":"Esmerelda Presens, S. Pather","doi":"10.1145/3415088.3415132","DOIUrl":"https://doi.org/10.1145/3415088.3415132","url":null,"abstract":"Unequal access to and usage of broadband internet in many countries are most prominent in rural and remote areas. It has become clear that the for-profit models of mainstream telecommunications companies will not address this state of gross inequality. There is evidence in the literature that Community Networks have the potential to address this digital divide. However there are limited models and guidelines available on what comprises the critical success factors within the broader ecosystem that comprise Community Networks. In light of this, this paper undertakes a qualitative analysis of subset of a recently compiled compendium of Community Network Case studies with a focus on North American and European regions. Drawing on the literature the People, Technology, Organisation and Environment (PTOE) framework was developed out of a synthesis of previous models. The PTOE framework is used as the lens to analyse the selected case studies. The findings present a range of elements of the Community Network ecosystem, which traverses the micro to the macro perspectives of critical success factors that relate to network implementation and sustainability. The findings indicate that the critical success factors include, amongst others, trust in technology, public support, collaborative capacity, access, appropriateness, technology affordability, and monitoring and evaluation mechanisms. The resultant framework provides a model for evaluating Community Networks in other settings and geographies. The model also serves as a basis to inform future implementations of Community Networks.","PeriodicalId":274948,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121362551","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

Policy implications on ICT integration in namibian basic education ecosystem 信息通信技术融入纳米比亚基础教育生态系统的政策影响

Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications Pub Date : 2020-09-24 DOI: 10.1145/3415088.3415102

Rosetha Kays, Attlee M. Gamundani

{"title":"Policy implications on ICT integration in namibian basic education ecosystem","authors":"Rosetha Kays, Attlee M. Gamundani","doi":"10.1145/3415088.3415102","DOIUrl":"https://doi.org/10.1145/3415088.3415102","url":null,"abstract":"Education forms the integral growth of a nation and its delivery from the grassroots level demands equal and creative focus. One of the creative approaches is capitalizing on the use of Information and Communication Technologies (ICTs) as enablers in the creation, delivery and upgrading of educational content, administration and overall running of daily operations in and around the school environments. The goal of this paper is to reflect on of the potential usage of ICTs in basic education, identifying some of the possible challenges and ultimately proposing potential solutions towards ensuring maximum benefits from a policy perspective approach. This research employed a mixed method research approach, in a case study context, where the focus area was the Namibian basic education system. It was apparent from this research of the many potential applications of ICTs in basic education, chiefly informed by literature review as well as the guide from the survey previously conducted in the study area. We strongly believe the contributions of this research can be used widely during the design of contextualised solutions in the education fraternity as well as acting as a policy guide for ICTs implementation. This paper has significant contribution to the Namibian basic education sector on implementing an ICT usage policy to aid educational activity. These contributions include data gathered which shows statistics of how many teachers have skills in using ICT for delivering content for education.","PeriodicalId":274948,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129053546","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

An artificial neural network and principle component analysis based model for methane level prediction in underground coal mines 基于人工神经网络和主成分分析的煤矿井下瓦斯浓度预测模型

Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications Pub Date : 2020-09-24 DOI: 10.1145/3415088.3415106

Sello Mathatho, P. Owolawi, Chunling Tu

{"title":"An artificial neural network and principle component analysis based model for methane level prediction in underground coal mines","authors":"Sello Mathatho, P. Owolawi, Chunling Tu","doi":"10.1145/3415088.3415106","DOIUrl":"https://doi.org/10.1145/3415088.3415106","url":null,"abstract":"High methane levels in underground coal mines interfere with mining activities and increase the risk of fires and explosions. Therefore, early warning and predicting systems are imperative in ongoing underground coal mining exploitation areas. In this paper, a hierarchical approach made of the principal component analysis (PCA) and the artificial neural network (ANN) model is proposed to improve the prediction accuracy of methane levels. The PCA was used to evaluate those factors most influencing methane levels. The variables extracted by the PCA were used as inputs parameters to the artificial neural network ANN model. An ideal number of neurons was developed for both conventional inputs and PCA-extracted variables. To train the model four algorithms were employed. The algorithm which proved to have the highest accuracy was Levenberg-Marquardt, with a supervised method of learning adopted. The study demonstrates that the hierarchical model achieved better performance and slightly improved prediction accuracy than the ANN model with original input parameters. It is also proven that a higher prediction is dependent on the variables derived from the PCA and the training algorithm adopted.","PeriodicalId":274948,"journal":{"name":"Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127835177","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