American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS)
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Teaching Practices in Mathematics During COVID-19 Pandemic: Challenges for Technological Inclusion in a Rural Brazilian School
Get PDFThe pandemic caused by COVID-19, on a global scale, brought an unprecedented situation for students from all over the world: the closure of schools. This study presents this theme under the perspective of a rural Brazilian school, located in a town in the interior of the state of Rio de Janeiro. Since the closure of schools as a health strategy for the control of the pandemic, the government of the state of Rio de Janeiro adopted the distance learning for school activities, most of which was achieved through technological mediation. This strategy to face the problem highlight reflections on inequality of access to the internet and the different roles played by the school, in addition to cognitive aspects. Considering as a research object the class of ninth grade of elementary school, and as a research theme their mathematics activities in distance learning, it was possible, through a case study, to analyze advances and setbacks in the learning proposal implemented. It is concluded that Brazil, due to its extensive territorial range and multiple specificities, is not yet prepared to legitimize the use of pedagogical practices in mathematics mediated by technology. Investments in infrastructure and teacher training are necessary so that pedagogical proposals mediated by technology can effectively contribute to the training of students
Recent Applications of Deep Learning Algorithms in Medical Image Analysis
Get PDFAdvances in deep learning have enabled researchers in the field of medical imaging to employ such techniques for various applications, including early diagnosis of different diseases. Deep learning techniques such as convolutional neural networks offer the capability of extracting invariant features from images that can improve the performance of most predictive models in medical and diagnostic imaging. This work concentrates on reviewing deep learning architectures along with medical imaging modalities where the crucial applications of such algorithms, including image classification and segmentation, are discussed. Also, brain imaging as a branch of medical imaging which allows scientists to explore the structure and function of the brain is explored, and the applications of deep learning to early diagnose Alzheimer’s Disease, and Autism as the most critical brain disorders are studied. Moreover, the recent research findings revealed that employing deep learning-based semantic segmentation techniques could significantly improve the accuracy of models developed for brain tumor detection. Such advances in early diagnosis of disorders and tumors encourage medical imaging practitioners to implement software applications assisting them to improve their decision-making process
Importance and Association of Phytotherapy with Western Medicine in the Treatment of Diseases in Athieme in South-West Benin
Get PDFThe phenomenon of migration is an old one by which the migrants come to stisfy their needs in order to improve their conditions of life. In fact, the goal of this research is offering to throw more light in the factors that justify the migration flow of Gulmanceba in the town of Banikoara and the influence of their economic contribution to development. The methodologic procedure used is a mixed one at the same time qualitative and quantitative. The empirical datas have been analyzed with the saftwares CSPS, SPSS, word and Excel 2007 on the basis of the strategic analysis of Crozier and Friedberg (1977). For the data collection, the documentary research, the interview and observation are the technics used with other tools such as “interview guide” “questionnaire”, the “observation grill” and the digital camera. In total, 109 persons have been questioned among whom the Gulmanceba migrants, the natives and the local leaders. At the end of this research it has been noticed that the Gulmanceba are effective vectors that intervene everywhere in farming, the trading of adult rate fuel, manufactured products, loose pieces and sand extraction. All those economic activities positively impact the town\u27s economiy
Container Number Recognition Method Based on SSD_MobileNet and SVM
Get PDFAiming at how to realize the recognition of the container number on the container surface at the entrance and exit of the port, a method based on image affine transformation and SVM classifier is proposed. The main process includes truck target detection, box number area detection, text correction stage, image preprocessing stage and segmentation detection and recognition stage. Firstly, a kind of container truck detection program based on frame difference method and decreasing sequence of connected domain is proposed; secondly, a method of container number area detection based on SSD_MobileNet is proposed; in the case number recognition stage, a text correction method based on image affine transformation is proposed, and different processing methods are proposed for vertical sequence box number and horizontal sequence box number in image preprocessing stage In the stage of segmentation detection and recognition, a character segmentation algorithm based on connected domain segmentation and a segmentation detection and recognition algorithm based on SVM classifier are proposed. Through the detection and recognition of container images in the field monitoring video, the accuracy rate of regional detection can reach 97%, and the accuracy rate of character recognition can reach 95%, and it can achieve good real-time performance
Types and Tools of Land Use Zoning Towards Dealing with Private Properties in Re-planning Inner Informal Areas (Case Study: Maspero Triangle – Cairo Governorate)
Get PDFLand use zoning policy has been applied in many countries such as the United States, England and Germany, since the second half of the nineteenth century, as one of legal systems for managing and regulating land uses in cities through many types and tools that are developed over the time. The primary type focused on identifying specific kind of land use in each area, without any mixing to improve the environmental conditions. Then, the following types used the population density index to reduce congestion in large cities, in addition to some physical and urban characteristics such as building heights, building size, floor area ratio, the percentage of roads, services and open spaces to cover environment, social, economic and urban dimensions and measure the degree of achievement the development goals for creating livable communities. Although these types are diverse, there are a number of challenges in implementation them such as the refusal of some owners towards applying planning recommendations on their private properties. In addition to the lack of justice and freedom among some owners in choosing appropriate land use for their own revenues. For these reasons, there is emergence of new types called land use plot, spot and rezoning policy, which deal with each land plot in a more flexible way to achieve a balance between the public interest and private benefits. At the local level, it is clear that zoning policy has appeared in Egypt since 1905 for planning the new residential suburban areas by using specific building requirements for each area to create compatible urban environments and a distinct urban personality. Then it was used in re-planning process for existing areas and informal communities through various planning and building laws, which need to be developed for dealing with the private properties without any dispute between the stakeholders and without government spending towards the compensation values. Therefore, this paper is important in determining the suitable types and tools of zoning policy for re-planning informal areas with private properties, by reviewing the results of some studies and international experiences in this field. As well as evaluating the current applied types of land use zoning policy in developing Egyptian informal areas through selecting one case study (Maspero triangle area), to benefit from the results of theoretical and practical framework in implementation the future projects with the acceptance of all parties and owners
Analysis of Geomechanical Parameters of a Non-Typical Sandy Soil
Get PDFMunicipal solid waste (MSW) landfill must have the stability of its slopes ensured. In this sense, it is necessary to investigate the stability of MSW landfills’ slopes in different scenarios. Therefore, in this paper, shear strength of a soil from a landfill cover layer, which was compacted with different moistures, was evaluated to obtain the needed parameters for numerical analysis. The methodology applied was experimental and numerical. Experimental tests comprise particle size analysis, compaction to determine optimal water content, compaction in optimal water content ±4 %, and direct shear tests with the compacted samples. Numerical analyses were performed once soil parameters for each direct shear test scenario were obtained. These analyses were developed by a software applying the limit equilibrium method improved by Morgenstern & Price aiming to evaluate the geomechanical behavior of the landfill slopes concerning different soil moistures. It was observed that the soil presented similar cohesion and factor of safety (FS) evolution for the different moistures. In contrast, friction angle and soil friction reduced as the water content increased. In conclusion, it was observed that the soil presented a higher shear strength when it was compacted at the optimal water content
Solutions for the Power Distribution System of Karachi Electric (K- Electric) to Prevent Deaths in Rainy Season
Get PDFKarachi is the metropolitan city of Pakistan. In rainy or flood season many deaths occurred due to electric shock. For the prevention, we suggest here to K-Electric (Karachi Electric Supply Distribution company) to control death casualties due to electric shock in rainy season. In suggestion paper providing some suggestions to the big power supplier of Karachi (K-Electric) about safety, maintenance, and monitoring for the prevention from deaths occur in metropolitan city due to electric shock. Those deaths occur due to faults in electric pole and touch the fallen live wire. When people touch the pole, they got electric shock in rainy and storm condition due to these electric faults occur in this condition provides enough loss to humans in the form to lose their lives. For the prevention or overcome the loss of life and danger here are giving some suggestions, if do work on following safety, maintenance and monitoring system then get the control on that loss will occur in heavy rain or flood
Interactions Between Anaerobic Oil Bacteria – Monitoring by Classic and Molecular Microbiology
Get PDFThe biogenic production of sulphide is one of the main problems in oil and gas industry, causing corrosion in storage tanks and pipes. This is possible by the injection of seawater during the secondary oil recovery. In the present work high levels of sulphide and acid producers were detected in water/oil samples from several sites from the petroleum industry. In a further stage, a broader range of microbial cells were detected, and finally, metagenomic analysis confirmed the presence of a diversity of microbes, indicating the complexity of the consortium in the production of sulphide, and based on the activity of acid producing cells and associated species
Effect of Accounting Manipulations on Performance of Selected Listed Firms in Nigeria
Get PDFThis paper examined the effect of accounting manipulations on performance of selected listed firms in Nigeria. Specifically, the study examined the causes of accounting manipulations, evaluated the influence of accounting regulatory bodies and principles on accounting manipulations and investigates if there is a substantial impact of accounting manipulation on performance of corporate firms in Nigeria. The study adopted a descriptive research design using survey for collection of data. The target population comprised 21 listed industrial firms in South West, Nigeria and collected primary data using questionnaire from 150 respondents. Descriptive statistical tool of mean, standard (SD) and inferential statistics of Ordinary least Square were employed to analyse data gathered. Findings from the study revealed that there were causes of accounting manipulations in corporate firms; accounting regulations and principles have a great influence on accounting manipulations; accounting manipulations have a substantial impact on performance of firms. Based on the results of the study, it was concluded that accounting manipulations negatively influence performance of corporate firms sampled. That the use of accounting manipulations to patch up (as a cover up in the) books of accounts should be discouraged. It was recommended that regulatory bodies should put in place effective policies and stringent penalty for violators to reduce the incidence of accounting manipulations in Nigerian firms
Application of Neural Networks and Adaptive-Network-Based Fuzzy System in the Prediction of Optimum Bitumen Content for Asphaltic Concrete Mixtures
Get PDFThe objective of this study is to explore the applicability of artificial neural networks (ANNs) and Adaptive-Network-Based fuzzy System (ANFIS) for predicting the bitumen content (OBC) of asphaltic concrete mixtures based on the experimental data. Samples were collected from different regions in Makkah region in Saudi Arabia during construction and tested at laboratories of Umm Al-Qura University for bitumen content, gradation of aggregate determination. Asphaltic concrete mixtures data were used to test the performance of the ANNs and ANFIS models. Among the two ANN models (a feed-forward back propagation (BP) and a radial basis function (RBF)) employed for this investigation, the BP neural network was found to be superior to RBF network for prediction of the OBC of asphaltic concrete mixtures. For improving model prediction efficiency, optimization of network structure and spread are important for BP and RBF types of the network, respectively. A BPNN model having a structure 3-8-4-1 (three neurons in input and eight neurons in first hidden layers, four neurons in second hidden layer and one neuron in output layer) produced better prediction performance efficiencies with an accuracy of 96.37%. The BPNN (3-8-4-1) model was fairly close to the corresponding actual values of OBC with the average error of 1.1854% and 1.01% for trained and tested data respectively. The results of the testing of ANFIS were indicated almost same performance of the BPNN (3-8-4-1) model