3C Tecnología_Glosas de innovación aplicadas a la pyme最新文献_第2页

Micro-Arc Oxidation Enhances Mechanical Properties and Corrosion Resistance Of Ti-6Al-7Nb Alloy 微弧氧化提高了Ti-6Al-7Nb合金的力学性能和耐蚀性

3C Tecnología_Glosas de innovación aplicadas a la pyme Pub Date : 2023-03-31 DOI: 10.17993/3ctecno.2023.v12n1e43.262-280

Qabas Khalid Naji, Jassim Mohammed Salman, Nawal Mohammed Dawood

{"title":"Micro-Arc Oxidation Enhances Mechanical Properties and Corrosion Resistance Of Ti-6Al-7Nb Alloy","authors":"Qabas Khalid Naji, Jassim Mohammed Salman, Nawal Mohammed Dawood","doi":"10.17993/3ctecno.2023.v12n1e43.262-280","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.262-280","url":null,"abstract":"Investigation results of micro-arc coating on the (Ti-7Nb-6Al) alloy were presented. It has potential clinical value in applications such as dental implant, knee, and hip prostheses. An electrolyte solution of ( Na2CO3 + Na2SiO3). The micro-arc oxidation (MAO) technique was employed for in situ oxidation of Ti-6Al-7Nb surface. The wettability of a porous TiO2 covering made up of anatase and rutile phases was investigated. The test findings revealed that the possibility of deposition of ceramics coatings on the surface of Ti-6Al-7Nb alloy by using voltages (400V )at different deposition times (7, 15, and 30) min. The results indicate that ceramics layer of titanium oxide (TiO2) which is formed during coating porous and homogenous distribution. The bioactive composition of the oxide layers can be suitable for use as advanced biomedical implants. The coatings also revealed an increased surface roughness, porosity, microhardness, surface wettability and corrosion resistance of the Ti-6Al-7Nb substrate reaches to (CR= 0.1114×10−3mpy) in Ringer’s solution and (CR= 1.03×10−3mpy) in Saliva’s solution with increased deposition time.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120952544","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

Copper At Silica Core - Shell Nanoparticles As Antibacterial Agents By Sol-Gel Chemical Methods 用溶胶-凝胶化学方法研究二氧化硅核壳纳米铜作为抗菌剂

3C Tecnología_Glosas de innovación aplicadas a la pyme Pub Date : 2023-03-31 DOI: 10.17993/3ctecno.2023.v12n1e43.337-352

Alaa F. Hashim Al- Ajeeli, Khalid. H. Razeg, Ibrahim Fuad Tariq

{"title":"Copper At Silica Core - Shell Nanoparticles As Antibacterial Agents By Sol-Gel Chemical Methods","authors":"Alaa F. Hashim Al- Ajeeli, Khalid. H. Razeg, Ibrahim Fuad Tariq","doi":"10.17993/3ctecno.2023.v12n1e43.337-352","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.337-352","url":null,"abstract":"Core-shell Cu@sio2 nanoparticles were created by a chemical reaction in a sol gel, and their ability to inhibit S. aureus and E. coli bacteria was tested, when synthesized and characterized using ultraviolet-visible spectroscopy, a copper band could be seen before and after encapsulation at wavelengths of 625 nanometers and 635 nanometers, which are surface plasmonic resonant frequency bands, respectively. The production of Cu @Sio2 core shell nanoparticles was further confirmed using field emission scanning electron microscope (FESEM) pictures. The core shell nanoparticles have a mean size of 66 nanometers and a spherical shape, as shown in TEM. The X-ray diffraction patterns for the nanoparticles, which show face-centered cubic (FCC) of copper, match the crystal structure of Cu@sio2 we discovered using fourier transform infrared (FT-IR) spectroscopy, the fourier transform infrared interaction between the silica and the synthesized copper NPs was investigated. This revealed the capping of the CuNPs by SiO2. The inhibition zone was evident as a result of the activities of these compounds (14, 14, 16, and 20) and (24, 24, 28, and 30) against Escherichia coli bacteria and Staphylococcus aureus bacteria, respectively.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124134832","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

Basic direction and realization path of PE teaching innovation in PSS based on deep learning model 基于深度学习模式的PSS体育教学创新的基本方向与实现路径

3C Tecnología_Glosas de innovación aplicadas a la pyme Pub Date : 2023-03-31 DOI: 10.17993/3ctecno.2023.v12n1e43.70-85

Huiming Ke, Yang Wang

引用次数: 0

Application of deep NN optimized by multi-parameter fusion in ideological and political construction of professional courses in colleges and universities 多参数融合优化的深度神经网络在高校专业课思想政治建设中的应用

3C Tecnología_Glosas de innovación aplicadas a la pyme Pub Date : 2023-03-31 DOI: 10.17993/3ctecno.2023.v12n1e43.54-68

Rui Ma

{"title":"Application of deep NN optimized by multi-parameter fusion in ideological and political construction of professional courses in colleges and universities","authors":"Rui Ma","doi":"10.17993/3ctecno.2023.v12n1e43.54-68","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.54-68","url":null,"abstract":"Curriculum ideology and politics is an inherent requirement to achieve the goal of \"cultivating morality and cultivating people\" in colleges and universities, and it is a beneficial exploration to realize the three-round education. The ideological and political construction of professional courses in colleges and universities not only teaches students knowledge and skills, but also helps students form correct values. Aiming at how to build ideological and political courses in colleges and universities, a design method based on multi-parameter fusion to gradually optimize deep NN is proposed. Firstly, the initial NN model without hidden layer is determined by analyzing the samples and categories, and then the hidden layer is gradually added on the basis of the initial NN to construct a deep NN with multi-parameter fusion optimization. Based on the TensorFlow framework, taking handwritten digit recognition as an example, a deep NN model is gradually designed. During the whole experiment, the network structure, activation function, loss function, optimizer, learning rate and sample batch size are continuously adjusted, and finally a multi-parameter design is designed. The fusion optimized deep NN model with high accuracy provides an effective idea for building a NN. As the learning rate increases, the performance of the NN gradually improves. In the training set and test set, the accuracy rate is almost the highest when the learning rate is 0.3, and the accuracy rate is 93.30% and 92.58% respectively when the number of iterations is 30, which shows that The NN optimized by multi-parameter fusion can be well applied to the ideological and political construction of professional courses in colleges and universities, and has strong application prospects.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122984993","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

Research on physical fitness training of football players based on improved LSTM neural network to improve physical energy saving and health 基于改进型LSTM神经网络的足球运动员体能训练节能健身研究

3C Tecnología_Glosas de innovación aplicadas a la pyme Pub Date : 2023-03-31 DOI: 10.17993/3ctecno.2023.v12n1e43.127-140

Nengchao Pan

{"title":"Research on physical fitness training of football players based on improved LSTM neural network to improve physical energy saving and health","authors":"Nengchao Pan","doi":"10.17993/3ctecno.2023.v12n1e43.127-140","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.127-140","url":null,"abstract":"In order to ensure that the physical function of football players adapts to the development of modern football level, and avoid the phenomenon of inability to adapt to the intensity of modern football games due to lack of physical fitness. Aiming at the physical training of football players, this paper proposes an improved long-short-term memory network (W-LSTM) model for the optimization and prediction of physical training. The model effectively combines the global feature extraction ability of LSTM for time series data and the preprocessing ability of the extracted data, which reduces the loss of feature information and achieves high prediction accuracy. The front door is added on the basis of LSTM, which combines training and physical function to reduce the impact of fluctuations in data outliers on the prediction results, effectively improving the accuracy of physical training optimization and prediction, and using body shape, exercise tolerance, exercise intensity and fitness level as input values to conduct comparative experiments on the three models of W-LSTM, LM-BP and ARIMA. The study found that W-LSTM has a lower mean square error (0.011) and a higher correlation coefficient (0.985), indicating that the model proposed in this paper is significantly better than other existing comparison models in terms of the accuracy of prediction results.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130805257","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

Investigation Of Waste Cooking Oil-Diesel Blend With Copper Oxide Additives As Fuel For Diesel Engine Under Variations In Fuel Injection Pressure 添加氧化铜添加剂的废食用油-柴油混合燃料在柴油机燃油喷射压力变化下的研究

3C Tecnología_Glosas de innovación aplicadas a la pyme Pub Date : 2023-03-31 DOI: 10.17993/3ctecno.2023.v12n1e43.202-223

Madhuri G. Chatur, Anil Maheshwari, Srinidhi Campli

引用次数: 0

The significance of the convolutional deep learning model in the intelligent collaborative correction of English writing 卷积深度学习模型在英语写作智能协同纠错中的意义

3C Tecnología_Glosas de innovación aplicadas a la pyme Pub Date : 2023-03-31 DOI: 10.17993/3ctecno.2023.v12n1e43.142-157

Hong Wang

{"title":"The significance of the convolutional deep learning model in the intelligent collaborative correction of English writing","authors":"Hong Wang","doi":"10.17993/3ctecno.2023.v12n1e43.142-157","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.142-157","url":null,"abstract":"To ensure the normal operation of English composition grammar correction and avoid inaccurate detection caused by faults, it is of great significance to detect abnormal working conditions in time and diagnose them accurately. Aiming at the complexity of grammar correction, this paper proposes a PLSTM-CNN model for fault detection in the grammar correction process. The model effectively combines the global feature extraction ability of LSTM for time series data and the ability of the CNN model to extract local features, which reduces the loss of feature information and achieves a higher fault detection rate. A one-dimensional dense CNN is used as the main body of the CNN, and the LSTM network is sensitive to changes in sequence information to avoid model overfitting while building a deeper network. The maximum mutual information coefficient (MMIC) data preprocessing method is adopted to improve the local correlation of the data and improve the efficiency of the PLSTM-CNN model to detect faults from different initial conditions. The research results show that the parallel PLSTM-CNN has better prediction performance than the serial PLSTM-CNN, and its FDR and FPR are 90.5% and 0.051, respectively. It shows that the use of convolutional deep learning models for the prediction of writing grammar correction faults has strong application prospects.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116627069","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

Optimization of specific heating consumption of coke oven plant using flow meter calibration modification 利用流量计标定改造优化焦炉装置比热耗

3C Tecnología_Glosas de innovación aplicadas a la pyme Pub Date : 2023-03-31 DOI: 10.17993/3ctecno.2023.v12n1e43.243-260

N. Mahato, H. Agarwal, J. Jain

引用次数: 0

Evaluation The Water Quality of Al- Rusafa Treatment Plant in Baghdad City / Al-Rusafa Side Using Several Water Quality Indices 用几种水质指标评价巴格达市Al-Rusafa处理厂/ Al-Rusafa侧的水质

3C Tecnología_Glosas de innovación aplicadas a la pyme Pub Date : 2023-03-31 DOI: 10.17993/3ctecno.2023.v12n1e43.176-189

Ahmed Amer Shanoon, Jabbar H. Al-Baidhani

{"title":"Evaluation The Water Quality of Al- Rusafa Treatment Plant in Baghdad City / Al-Rusafa Side Using Several Water Quality Indices","authors":"Ahmed Amer Shanoon, Jabbar H. Al-Baidhani","doi":"10.17993/3ctecno.2023.v12n1e43.176-189","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.176-189","url":null,"abstract":"The present study was conducted drinking water treatment plant located in districts which is (Al-Rusafa) in Baghdad city. The study aims to assess the water quality produced from the above plant using various water quality indices. Twelve physical and chemical parameters have been tested which are pH, turbidity, electrical conductivity, calcium, magnesium, chloride, total hardness, alkalinity, sulfate, sodium and total dissolved solids. Five different approaches and methodologies of water quality indices were applied to get the level of pollution during a period of nine months, starting from November 2021 until July 2022.The values WAV WQI for water treatment pant indicate that the water quality was good. Also, the results of the MNE WQI showed that water treatment plant produced clean water, but Al-Rusafa treatment plant in April, the water was very clean. The values of (weighted method) indicated that the water quality for water treatment plant was good. It was found that water treatment plant studied gives excellent quality using based on values of CCME and BCWQI indices. It is found that the values of all chemical and physical parameters are within Iraqi standards. Finally, in the present study, many statistical equation were found for the purpose of calculating the water quality index for water treatment plant studied with a proper coefficient of determinations.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121334021","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

Deep Learning Network-Based Evaluation method of Online teaching quality of International Chinese Education 基于深度学习网络的国际汉语教育在线教学质量评价方法

3C Tecnología_Glosas de innovación aplicadas a la pyme Pub Date : 2023-03-31 DOI: 10.17993/3ctecno.2023.v12n1e43.87-106

Wenling Lai

{"title":"Deep Learning Network-Based Evaluation method of Online teaching quality of International Chinese Education","authors":"Wenling Lai","doi":"10.17993/3ctecno.2023.v12n1e43.87-106","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.87-106","url":null,"abstract":"The development of vocational education in the information age requires us to think about the path and strategy of active change. Course teaching quality evaluation should also shift from passive evaluation of online teaching development to active construction of a mixed teaching quality evaluation system. In the information age, the development of teaching resources is dizzying. From paper to digital, from single to diverse, from offline to online, from scarcity to mass—various changes impact the traditional teaching model. Aiming at the online teaching quality evaluation of international Chinese education on the Internet, this paper proposes a method based on deep learning. Firstly, this paper proposes an index system construction and evaluation index weighting for online teaching of international Chinese education, and collects online data as a corpus at the same time. Then construct the CNN_BiLSTM_Att model, which is composed of the CNN module, the BiLSTM module and the Att module. Finally, compare with other model experiments. The experimental results show that CNN_BiLSTM_Att has achieved the best results in the evaluation index results, with P and F1 reaching 97.89% and 97.85%. Compared with other models, the overall effect is improved by 2%~5%. From this, the superiority of the model in the online teaching quality evaluation standard task of this paper can be obtained.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131760548","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