2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)最新文献_第2页

Design, construction and control of a SCARA robot prototype with 5 DOF 五自由度SCARA机器人原型的设计、构造与控制

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) Pub Date : 2022-12-15 DOI: 10.1109/ICMLANT56191.2022.9996479

Delond Angelo Jimenez-Nixon, María Celeste Paredes-Sánchez, Alicia María Reyes-Duke

{"title":"Design, construction and control of a SCARA robot prototype with 5 DOF","authors":"Delond Angelo Jimenez-Nixon, María Celeste Paredes-Sánchez, Alicia María Reyes-Duke","doi":"10.1109/ICMLANT56191.2022.9996479","DOIUrl":"https://doi.org/10.1109/ICMLANT56191.2022.9996479","url":null,"abstract":"The SCARA robot is one of the most important robots and a standard in industrial robotics worldwide. Scara's are able to move with ease horizontally but have difficulties to move vertically. Given the characteristics of its workspace it's difficult for this robot to grow its range of applications as soon as significant height changes are required. One of the devised ways to overcome the height limitations found in the SCARA, is the addition of a fifth degree of freedom in its base. This research shows the robotic design in different CAD software, construction through additive and subtractive manufacturing, and control by means of mathematical models and programming of a SCARA robot prototype with five degrees of freedom. The experimental results demonstrate that, a fifth degree of freedom implemented in the base of a SCARA is a viable way to increase its vertical workspace. These results also demonstrate new capabilities for performance in new applications, higher versatility, economical installation and ease of adaptation to changes of location or application.","PeriodicalId":224526,"journal":{"name":"2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131459397","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: 3

Analyzing Deficits in Awareness Among Chief Supply Chain Officers Who Have Not Adopted Cybersecurity as a Threat to Supply Chains 分析未将网络安全视为供应链威胁的首席供应链官的意识缺陷

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) Pub Date : 2022-12-15 DOI: 10.1109/ICMLANT56191.2022.9996456

S. Muller

引用次数: 0

A Flexible CNN Architecture for Real-Time FPGA Implementation 用于实时FPGA实现的灵活CNN架构

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) Pub Date : 2022-12-15 DOI: 10.1109/ICMLANT56191.2022.9996537

Fábio D. L. Coutinho, Hugerles S. Silva, P. Georgieva, Arnaldo S. R. Oliveira

{"title":"A Flexible CNN Architecture for Real-Time FPGA Implementation","authors":"Fábio D. L. Coutinho, Hugerles S. Silva, P. Georgieva, Arnaldo S. R. Oliveira","doi":"10.1109/ICMLANT56191.2022.9996537","DOIUrl":"https://doi.org/10.1109/ICMLANT56191.2022.9996537","url":null,"abstract":"In this paper, an optimized and flexible architecture for the convolutional neural networks (CNN) algorithms is proposed for real-time implementation in the field-programmable gate array (FPGA) platforms. In these networks, the convolutional layer is responsible for the high resource usage and the computational complexity. With our approach, the resource and complexity overheads are decreased keeping performance. Moreover, a flexible and fast framework is also introduced and described in this work, in which a hardware description language (HDL) tool is adopted to generate HDL code from the proposed behavioral CNN model. To the best of the author's knowledge, this is the first work in which a CNN architecture is implemented with an HDL tool, decreasing the overhead imposed by software and maintaining the clarity of the CNN structure. The obtained results show the feasibility of the proposed architecture in different scenarios considering the global performance measured by the mean-square error (MSE), resource reports, and timing requirements, in which the resources allocated in the FPGA are considerably reduced compared to a fully parallelized implementation.","PeriodicalId":224526,"journal":{"name":"2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124215928","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

AI-based botnet attack classification and detection in IoT devices 物联网设备中基于ai的僵尸网络攻击分类与检测

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) Pub Date : 2022-12-15 DOI: 10.1109/ICMLANT56191.2022.9996464

Vikram Puri, Aman Kataria, Vijender Kumar Solanki, Sita Rani

引用次数: 3

Machine learning for telecoms: From churn prediction to customer relationship management 电信业的机器学习:从流失预测到客户关系管理

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) Pub Date : 2022-12-15 DOI: 10.1109/ICMLANT56191.2022.9996496

Farah Alhaqui, Mariam Elkhechafi, A. Elkhadimi

引用次数: 0

State of the Art and Current Perception of Augmented Reality in Honduras 洪都拉斯增强现实技术的现状和现状

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) Pub Date : 2022-12-15 DOI: 10.1109/ICMLANT56191.2022.9996462

M. E. Perdomo, M. Cardona, Leonardo David Romero, Nayeli Sarahi Barnica

{"title":"State of the Art and Current Perception of Augmented Reality in Honduras","authors":"M. E. Perdomo, M. Cardona, Leonardo David Romero, Nayeli Sarahi Barnica","doi":"10.1109/ICMLANT56191.2022.9996462","DOIUrl":"https://doi.org/10.1109/ICMLANT56191.2022.9996462","url":null,"abstract":"The research was conducted on Augmented Reality (AR), its concept, its precedents, the fields of application in which it is presented, and the advantages it has at the time this technology is implemented. It also analyzes the implementation of AR in the world in various sectors such as education, medicine, and industry. The applications of augmented reality in Honduras were identified. And the factors why Honduras has not implemented AR are analyzed. AR is a human-computer interface design strategy aimed at enhancing a user's visual perception by superimposing computer graphics on the user's view. AR has a series of devices, and software, among other elements that operate as development tools making the experience with this reality more attractive. In the fields of application four areas stand out: Education, Textile, Marketing, and Manufacturing. By evaluating the sectors and fields where AR is applied worldwide, a comparison and analysis are made to define which would be the best option to develop this technology in the best way in Honduras.","PeriodicalId":224526,"journal":{"name":"2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123757680","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

Comparisons of Deep Learning Models to predict Energy Consumption of an Educational Building 深度学习模型预测教育建筑能耗的比较

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) Pub Date : 2022-12-15 DOI: 10.1109/ICMLANT56191.2022.9996517

Julio Barzola-Monteses, Wendy Yánez-Pazmiño, Eduardo Flores-Morán, Franklin Parrales-Bravo

{"title":"Comparisons of Deep Learning Models to predict Energy Consumption of an Educational Building","authors":"Julio Barzola-Monteses, Wendy Yánez-Pazmiño, Eduardo Flores-Morán, Franklin Parrales-Bravo","doi":"10.1109/ICMLANT56191.2022.9996517","DOIUrl":"https://doi.org/10.1109/ICMLANT56191.2022.9996517","url":null,"abstract":"According to the latest United Nations Environment Programme report, in 2020, the construction and operation of buildings globally accounted for more than a third (36%) of final energy used and 37% of carbon dioxide emissions. This has given rise to research interest in energy efficiency in buildings in recent years, considering different approaches. In this work, black-box approaches based on bio-inspired techniques to predict the energy consumption of a university building are proposed. Three artificial neural network (ANN) architectures. Feed Forward Neural Network (FFNN) such as multilayer perceptron (MLP) and recurrent neural network (RNN) such as long short-term memory (LSTM), and gated recurrent unit (GRU). Three scenarios with different resolution timesteps and forecast horizons multi-step are tested for each architecture. The results according to the comparison of analyzed metric and computational execution times, the MLP model ranks first. These models can be very useful in predictive control systems considered in buildings to forecast the behavior of buildings' electric load in the short term with very good precision.","PeriodicalId":224526,"journal":{"name":"2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120967423","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

Robotics Platforms for Solar Tracking System: A Review 太阳能跟踪系统的机器人平台:综述

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) Pub Date : 2022-12-15 DOI: 10.1109/ICMLANT56191.2022.9996509

M. Cardona, Fernando E. Serrano

{"title":"Robotics Platforms for Solar Tracking System: A Review","authors":"M. Cardona, Fernando E. Serrano","doi":"10.1109/ICMLANT56191.2022.9996509","DOIUrl":"https://doi.org/10.1109/ICMLANT56191.2022.9996509","url":null,"abstract":"In this paper it is shown basically the most important active solar tracking systems. It is reviewed the different types of solar tracking mechanisms based on robotics platforms which are classified basically in its degrees of freedom. In this paper are evinced first the state of the art regarding the design of novel trajectory tracking system explaining first how they are implemented and the frequency in which these mechanisms are implemented in different countries of the world while showing not only their configurations. Apart, it is explained the kinds of actuator that are commonly implemented in these mechanisms, for example direct current DC motors, permanent magnet motors, etc. Another issues that is mentioned in this study is the trajectory generation based on the solar path and how this variable changes according to the season of the year. Then the main results of this study are found in which it is explained how the dynamics of these mechanisms are obtained focused on four categories of this kind of mechanisms, which are horizontal 1-axis tracker, vertical 1-axis tracker, tip-tilt two axis tracker and azimuth altitude two axis tracker. Finally, as a contribution of this paper, an experimental simulation is performed for trajectory tracking purposes of this kind of mechanism by a proportional derivative controller in order to verify the closed loop system performance by tuning the gains with a gradient descent algorithm.","PeriodicalId":224526,"journal":{"name":"2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123506622","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

Literature Review on Artificial Intelligence Implementation in the Honduran Agricultural Sector 人工智能在洪都拉斯农业部门实施的文献综述

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) Pub Date : 2022-12-15 DOI: 10.1109/ICMLANT56191.2022.9996484

M. E. Perdomo, M. Cardona, Denisse Melisa Castro, W. Mejia

{"title":"Literature Review on Artificial Intelligence Implementation in the Honduran Agricultural Sector","authors":"M. E. Perdomo, M. Cardona, Denisse Melisa Castro, W. Mejia","doi":"10.1109/ICMLANT56191.2022.9996484","DOIUrl":"https://doi.org/10.1109/ICMLANT56191.2022.9996484","url":null,"abstract":"Nowadays, many sectors have been faced with the need to achieve technological and automated processes, to keep up with the new trends and remain competitive. This study describes the beginnings of artificial intelligence (AI), its concept, branches, and applications. A general context is given about the different agricultural sectors in which the focus is on, in this case, the coffee, banana, oil palm, and cocoa sectors. The research was done on the diverse applications of AI in different countries and how it helped improve the processes of these sectors. To achieve this, an average of fifteen articles were taken into consideration for each sector investigated, to have a wide variety of information that will be able to validate the veracity of implementations. It was also possible to determine which countries have applied most of these technologies in their processes. As a result, Malaysia, a country in Southeast Asia, is the one that predominates the AI studies applied to agricultural sectors. In addition, the reasons why AI has not been applied to a large extent in the agricultural sectors in Honduras and the main reasons why this process has advanced relatively gradually are also investigated.","PeriodicalId":224526,"journal":{"name":"2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121731129","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

Wheels Statistical Analysis for Mobile Robots in Irregular Surface: Spring Stiffness Calculation 不规则表面移动机器人车轮统计分析:弹簧刚度计算

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) Pub Date : 2022-12-15 DOI: 10.1109/ICMLANT56191.2022.9996486

M. Cardona, J. L. Ordoñez-Ávila, H. Moreno, Douglas Adalberto Aguilar, Marcial Ordoñez

引用次数: 0