Day 1 Tue, September 21, 2021最新文献_第4页

Quantitative Analysis of Knee Radiography 膝关节x线片定量分析

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-30 DOI: 10.36548/jei.2021.3.002

R. Kanthavel, R. Dhaya

引用次数: 3

A Review on Data Securing Techniques using Internet of Medical Things 基于医疗物联网的数据安全技术综述

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-27 DOI: 10.36548/jucct.2021.3.001

P. P. Joby

{"title":"A Review on Data Securing Techniques using Internet of Medical Things","authors":"P. P. Joby","doi":"10.36548/jucct.2021.3.001","DOIUrl":"https://doi.org/10.36548/jucct.2021.3.001","url":null,"abstract":"At present, the traditional healthcare system is completely replaced by the revolutionary technique, the Internet of Medical Things (IoMT). Internet of Medical Things is the IoT hub that comprises of medical devices and applications which are interconnected through online computer networks. The basic principle of IoMT is machine-to-machine communication that takes place online. The major goal of IoMT is to reduce frequent or unwanted visits to the hospitals which makes it comfortable and is also highly preferred by the older people. Another advantage of this methodology is that the interpreted or collected data is stored in cloud modules unlike amazon and Mhealth, making it accessible remotely. Although there are countless advantages in IoMT, the critical factor lies in data security or encryption. A surplus number of threat related to devices, connectivity, and cloud might occur under unforeseen or threatening circumstances which makes the person in the situation helpless. Yet, with the help of data security techniques designed especially for Internet of Medical Things, it is possible to address these challenges. In this paper, a review on data securing techniques for the internet of medical things is made along with a discussion on related concepts.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79312128","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

Cloud Load Estimation with Deep Logarithmic Network for Workload and Time Series Optimization 基于深度对数网络的云负载估计与时间序列优化

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-27 DOI: 10.36548/jscp.2021.3.008

N. Bhalaji

引用次数: 6

PROGRESS AND PRECLUSION OF KNEE OSTEOARTHRITIS: A STUDY 膝关节骨关节炎的进展和预防:一项研究

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-27 DOI: 10.36548/jitdw.2021.3.001

R. Kanthavel, R. Dhaya

引用次数: 2

Removal of Gaussian White Noises from the image by probability map prediction based Deep learning approach 基于概率图预测的深度学习方法去除图像中的高斯白噪声

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-27 DOI: 10.36548/jtcsst.2021.3.003

S. Shakya

{"title":"Removal of Gaussian White Noises from the image by probability map prediction based Deep learning approach","authors":"S. Shakya","doi":"10.36548/jtcsst.2021.3.003","DOIUrl":"https://doi.org/10.36548/jtcsst.2021.3.003","url":null,"abstract":"Deep learning methods have gained an increasing research interest, especially in the field of image denoising. Although there are significant differences between the different types of deep learning techniques used for natural image denoising, it includes significant process and procedure differences between them. To be specific, discriminative learning based on deep learning convolutional neural network (CNN) may effectively solve the problem of Gaussian noise. Deep learning based optimization models are useful in predicting the true noise level. However, no relevant research has attempted to summarize the different deep learning approaches for performing image denoising in one location. It has been suggested to build the proposed framework in parallel with the previously trained CNN to enhance the training speed and accuracy in denoising the Gaussian White Noise (GWN). In the proposed architecture, ground truth maps are created by combining the additional patches of input with original pictures to create ground truth maps. Furthermore, by changing kernel weights for forecasting probability maps, the loss function may be reduced to its smallest value. Besides, it is efficient in terms of processing time with less sparsity while enlarging the objects present in the images. As well as in conventional methods, various performance measures such as PSNR, MSE, and SSIM are computed and compared with one another.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"97 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85682329","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

Comparative Analysis of an Efficient Image Denoising Method for Wireless Multimedia Sensor Network Images in Transform Domain 一种变换域无线多媒体传感器网络图像去噪方法的对比分析

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-23 DOI: 10.36548/jscp.2021.3.007

R. Dhaya

{"title":"Comparative Analysis of an Efficient Image Denoising Method for Wireless Multimedia Sensor Network Images in Transform Domain","authors":"R. Dhaya","doi":"10.36548/jscp.2021.3.007","DOIUrl":"https://doi.org/10.36548/jscp.2021.3.007","url":null,"abstract":"In recent years, there has been an increasing research interest in image de-noising due to an emphasis on sparse representation. When sparse representation theory is compared to transform domain-based image de-noising, the former indicates that the images have more information. It contains structural characteristics that are quite similar to the structure of dictionary-based atoms. This structure and the dictionary-based method is highly unsuccessful. However, image representation assumes that the noise lack such a feature. The dual-tree complex wavelet transform incorporates an increase in transform data density to reduce the effects of sparse data. This technique has been developed to decrease the image noise by selecting the best-predicted threshold value derived from wavelet coefficients. For our experiment, Discrete Cosine Transform (DCT) and Complex Wavelet Transform (CWT) are used to examine how the suggested technique compares the conventional DCT and CWT on sets of realistic images. As for image quality measures, DT-CWT has leveraged superior results. In terms of processing time, DT-CWT gave better results with a wider PSNR range. Further, the proposed model is tested with a standard digital image named Lena and multimedia sensor images for the denoising algorithm. The suggested denoising technique has delivered minimal effect on the MSE value.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79001577","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

A Review on Microstrip Patch Antenna Performance Improvement Techniques on Various Applications 微带贴片天线在各种应用中的性能改进技术综述

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-23 DOI: 10.36548/jtcsst.2021.3.002

G. Christina

引用次数: 22

THE IMPACT OF ADMINISTRATORS ON TEACHER RETENTION AT PRIVATE SECONDARY SCHOOLS IN PAKISTAN 巴基斯坦私立中学管理人员对教师保留的影响

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.51380/gujr-37-03-08

Noman Tariq, Imran Yousuf, F. Ajmal

{"title":"THE IMPACT OF ADMINISTRATORS ON TEACHER RETENTION AT PRIVATE SECONDARY SCHOOLS IN PAKISTAN","authors":"Noman Tariq, Imran Yousuf, F. Ajmal","doi":"10.51380/gujr-37-03-08","DOIUrl":"https://doi.org/10.51380/gujr-37-03-08","url":null,"abstract":"It is a crucial issue to retain highly qualified educators to provide high quality education in private schools. High turnover of educators in private schools has a negative impression on the pupil satisfaction and on their educational progress as well. Retention of educators refers to retaining qualified and efficient teachers in schools for a long time. As recruitment is a complex process for the selection of qualified and competent teachers so, retention of teachers is most crucial and extensive issue for private schools in of Pakistan. The present research study was conducted to explore the impacts of school’s administrations on educators’ retention at the private schools in Pakistan. The descriptive statistics and t-test statistical tools were applied to assess collected data with respect to school’s administrations, their behavior and facilities. The findings of the study based on the Likert Scale indicated that most of teachers were not satisfied with their school’s administration, their behaviors and facilitation. T-test analysis indicated that no significance difference was found between the retention intentions of male and female teachers.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81668009","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

THE STRATEGIC MANAGEMENT MODEL FOR COVID 19 "A RACE AGAINST TIME": EVIDENCE FROM PEOPLE'S REPUBLIC OF CHINA “与时间赛跑”的covid - 19战略管理模式:来自中华人民共和国的证据

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.51380/gujr-37-03-03

Z. Sarwar, Muhammad Asif Khan, A. Sarwar

引用次数: 3

PSYCHOMETRIC VALIDATION OF ORGANIZATIONAL JUSTICE SCALE FOR SCHOOL TEACHERS IN PAKISTANI CONTEXT 巴基斯坦情境下学校教师组织公平量表的心理测量验证

Day 1 Tue, September 21, 2021 Pub Date : 2021-09-20 DOI: 10.51380/gujr-37-03-07

M. Aslam, Abid Hussain Chaudhary

{"title":"PSYCHOMETRIC VALIDATION OF ORGANIZATIONAL JUSTICE SCALE FOR SCHOOL TEACHERS IN PAKISTANI CONTEXT","authors":"M. Aslam, Abid Hussain Chaudhary","doi":"10.51380/gujr-37-03-07","DOIUrl":"https://doi.org/10.51380/gujr-37-03-07","url":null,"abstract":"Organizational justice is about fairness at the workplace. It is essential to enhance performance and success of every organization. The study was conducted to validate Organizational Justice Scale (OJS) in Punjab, Pakistani public school context developed by Neihoff and Moorman (1993). Sample size consisted of 400 randomly selected public school teachers. This study was based upon quantitative approach and cross- sectional survey design was applied in data collection. The data was collected personally from teachers. Factors analysis techniques EFA and CFA were applied to confirm dimensionality, validity and reliability of Organizational Justice Scale (OJS) in schools of Pakistani context. Results are in support of three dimensional model (distributive, procedural & interactional justice) and generalizability of this scale. Furthermore, the results also established adequate reliability and validity (convergent and discriminant validity) of OJS. Further studies can be conducted to further validate the OJS through different types of data analysis software and techniques. In addition, this scale would be useful for measurement of the organizational justice among teachers in schools.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91112494","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