Pub Date : 2023-01-01DOI: 10.1504/ijvas.2023.10057322
Jae Cheon Lee, Hao Liu, Masri Hakiki
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Pub Date : 2023-01-01Epub Date: 2023-03-19DOI: 10.46652/rgn.v8i35.1026
Cintia Daniela Rodríguez Garat
This article will address the considerations that must be examined in the design of public policies and government programs to achieve an intercultural approach to the health of the Pu Mapuce Zomo (Mapuce women). In this sense, the proposed objective is to formulate three essential aspects that serve as a basis to promote adequate frameworks for public health policies oriented towards an intercultural approach. For this, methodologically, from a qualitative approach, the ethical, gender(s) and epistemic aspects that must be considered in the configuration of health programs that favor the health care of indigenous women will be investigated. With this purpose, it begins by delimiting the unavoidable ethical-normative and gender approach to highlight the basic needs of Mapuce women. This approach seeks to establish a parameter about the obligations that States have in relation to the development of human capabilities. Finally, three aspects will be presented that the State must replicate in its health proposals to guarantee the construction of an intercultural approach to health, appropriate to the basic needs of Mapuce women in Argentina.
本文将讨论在制定公共政策和政府方案时必须考虑的因素，以实现以跨文化方法促进 Pu Mapuce Zomo（马普斯妇女）的健康。从这个意义上讲，本文提出的目标是制定三个基本方面，作为促进以跨文化方法为导向的公共卫生政策适当框架的基础。为此，将从定性方法入手，研究在制定有利于土著妇女保健的保健计划时必须考虑的伦理、性别和认识方面的问题。为此，本研究将首先界定不可避免的伦理规范和性别方法，以突出马普切妇女的基本需求。这种方法旨在确定国家在发展人的能力方面所承担义务的参数。最后，将从三个方面介绍国家必须在其保健建议中加以仿效，以确保构建一种适合阿根廷马普斯妇女基本 需求的跨文化保健方法。
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Pub Date : 2023-01-01DOI: 10.1504/ijvas.2023.10059212
P.V. Manivannan, R. Rajesh
{"title":"Performance evaluation of low-resolution monocular vision-based velocity estimation technique for moving obstacle detection and tracking","authors":"P.V. Manivannan, R. Rajesh","doi":"10.1504/ijvas.2023.10059212","DOIUrl":"https://doi.org/10.1504/ijvas.2023.10059212","url":null,"abstract":"","PeriodicalId":39322,"journal":{"name":"International Journal of Vehicle Autonomous Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135556237","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 : 2022-01-01DOI: 10.1504/ijvas.2022.10058616
K. Chennam, V. Maheswari, Swapna Mudrakola, Dr Rajanikanth Aluvalu
{"title":"Blockchain and IoT architectures in autonomous vehicles","authors":"K. Chennam, V. Maheswari, Swapna Mudrakola, Dr Rajanikanth Aluvalu","doi":"10.1504/ijvas.2022.10058616","DOIUrl":"https://doi.org/10.1504/ijvas.2022.10058616","url":null,"abstract":"","PeriodicalId":39322,"journal":{"name":"International Journal of Vehicle Autonomous Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66821609","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 : 2022-01-01DOI: 10.1504/ijvas.2022.133006
M. F. Khyasudeen, N. Buniyamin, S. Azzuhri, Muhammad Badri Mhd Noor, Mohamad Hakim Bin Abu Bakar, Mohamad Faizal Abd Rahman, N. I. Kamel, Aliff Shariffuddin, I. Amiri
{"title":"The development of a GPS-based autonomous quadcopter towards precision landing on moving platform","authors":"M. F. Khyasudeen, N. Buniyamin, S. Azzuhri, Muhammad Badri Mhd Noor, Mohamad Hakim Bin Abu Bakar, Mohamad Faizal Abd Rahman, N. I. Kamel, Aliff Shariffuddin, I. Amiri","doi":"10.1504/ijvas.2022.133006","DOIUrl":"https://doi.org/10.1504/ijvas.2022.133006","url":null,"abstract":"","PeriodicalId":39322,"journal":{"name":"International Journal of Vehicle Autonomous Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66821679","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 : 2022-01-01DOI: 10.1504/ijvas.2022.133021
Masri Hakiki, Hao Liu, Jae Cheon Lee
{"title":"Development of autopilot control algorithm for an unmanned aerial vehicle based on simulation","authors":"Masri Hakiki, Hao Liu, Jae Cheon Lee","doi":"10.1504/ijvas.2022.133021","DOIUrl":"https://doi.org/10.1504/ijvas.2022.133021","url":null,"abstract":"","PeriodicalId":39322,"journal":{"name":"International Journal of Vehicle Autonomous Systems","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66821694","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 : 2022-01-01DOI: 10.1504/ijvas.2022.133008
Moemen Arafa, A. Osama, M. Abdelaziz, M. Ghoneima, Fernando Quiles García, S. Maged
{"title":"Decoupled 3-D object detector","authors":"Moemen Arafa, A. Osama, M. Abdelaziz, M. Ghoneima, Fernando Quiles García, S. Maged","doi":"10.1504/ijvas.2022.133008","DOIUrl":"https://doi.org/10.1504/ijvas.2022.133008","url":null,"abstract":"","PeriodicalId":39322,"journal":{"name":"International Journal of Vehicle Autonomous Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66821689","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 : 2022-01-01DOI: 10.1504/ijvas.2022.10058612
Joy Mehta, Saurab Iyer, Ankita Sharma, Vrajna Patel
- Traffic Sign Detection and Recognition can be used as driver assistance which also ensures contributing to safety of drivers, pedestrians and vehicles. The usage personal vehicles cars or Two Wheelers are increased during and after COVID-19. The heavy traffic, congestion and fast driving, leads to traffic accidents which caused a lot of personal injury or property loss. In such scenario, the country like India requires traffic signs on road side so that the drivers aware the status of road and able to convey the important traffic information to the driver. In modern artificial intelligence era, this traffic sign are recognized by intelligence system and can be used for voice or any other applications. In our project, the traffic sign was recognized with highest accuracy using Machine Learning Algorithms. To collect the traffic sign data from the road, the camera from cars are used. The Various factors which affected the identification of traffic signs are lighting factors, light intensity. These factors lead to image exposure, light weakness that result in dim, blurred and corroded image. The Convolution Neural Network deep learning algorithm used to find the accuracy of image recognition. the accuracy Calculated as the value of RMSE or MSE. This project designed an improved CNN uses convolution pooling to extract low-dimensional features and high- dimensional features of images to achieve higher accuracy and lightweight models.
{"title":"Traffic sign recognition using deep learning","authors":"Joy Mehta, Saurab Iyer, Ankita Sharma, Vrajna Patel","doi":"10.1504/ijvas.2022.10058612","DOIUrl":"https://doi.org/10.1504/ijvas.2022.10058612","url":null,"abstract":"- Traffic Sign Detection and Recognition can be used as driver assistance which also ensures contributing to safety of drivers, pedestrians and vehicles. The usage personal vehicles cars or Two Wheelers are increased during and after COVID-19. The heavy traffic, congestion and fast driving, leads to traffic accidents which caused a lot of personal injury or property loss. In such scenario, the country like India requires traffic signs on road side so that the drivers aware the status of road and able to convey the important traffic information to the driver. In modern artificial intelligence era, this traffic sign are recognized by intelligence system and can be used for voice or any other applications. In our project, the traffic sign was recognized with highest accuracy using Machine Learning Algorithms. To collect the traffic sign data from the road, the camera from cars are used. The Various factors which affected the identification of traffic signs are lighting factors, light intensity. These factors lead to image exposure, light weakness that result in dim, blurred and corroded image. The Convolution Neural Network deep learning algorithm used to find the accuracy of image recognition. the accuracy Calculated as the value of RMSE or MSE. This project designed an improved CNN uses convolution pooling to extract low-dimensional features and high- dimensional features of images to achieve higher accuracy and lightweight models.","PeriodicalId":39322,"journal":{"name":"International Journal of Vehicle Autonomous Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66821194","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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