Salud Ciencia y Tecnología最新文献_第8页

A novel optimization of hybrid feature selection algorithms for image classification technique using RBFNN and MFO 一种基于RBFNN和MFO的图像分类混合特征选择优化算法

Salud Ciencia y Tecnología Pub Date : 2022-12-31 DOI: 10.56294/saludcyt2022241

Kumar Siddamallappa U, Vijay R. Sonawane, N. Gandhewar

{"title":"A novel optimization of hybrid feature selection algorithms for image classification technique using RBFNN and MFO","authors":"Kumar Siddamallappa U, Vijay R. Sonawane, N. Gandhewar","doi":"10.56294/saludcyt2022241","DOIUrl":"https://doi.org/10.56294/saludcyt2022241","url":null,"abstract":"A brain tumor develops when abnormal cells in brain tissue multiply uncontrollably. For radiologists, finding and categorizing tumors manually has become a demanding and time-consuming task. When radiologists or other clinical professionals need to extract an infected tumor area from an MR picture, they have to go through a lengthy and laborious process. To improve performance and simplify the segmentation process, we investigate the FCM-predicted picture segmentation techniques in this study. In addition, classifiers for automating the detection and reclassification of encephalon tumors receive input consisting of critical information obtained from each segmented tissue. We have assessed, verified, and demonstrated the experimental efficacy of the proposed method. The purpose of this research was to develop a novel MFO (Moth-Flame Optimization) based LLRBFNN model for the automatic detection and classification of benign and malignant brain tumors. In order to alleviate the burden of manually detecting encephalon cancers from MR images, the suggested LLRBFNN model parameters are improved via MFO training. The Modified FCM method removes outlying nodes from the LLRBFNN model, and the MFO algorithm keeps the current of node centres in the aforementioned model. The proposed MFO-LLRBFNN model was evaluated alongside the Decision Tree and the Random Forest. To prove the reliability of this model, an MFO-based LLWNN (Local Linear Wavelet Neural Network) model for autonomously detecting brain cancers was presented. We extracted features from MR images using the MFCM (modified fuzzy C-Means) segmentation algorithm and the GLCM (Gray Level Co-occurrence Matrix) technique.","PeriodicalId":184806,"journal":{"name":"Salud Ciencia y Tecnología","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127791696","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

A comparative study on sustainability assessment level (BREEAM, LEED, and Estidama) to develop better environment sustainability assessment 可持续性评估水平(BREEAM、LEED和Estidama)的比较研究，以制定更好的环境可持续性评估

Salud Ciencia y Tecnología Pub Date : 2022-12-31 DOI: 10.56294/saludcyt2022237

Raghad Mourad, J. Wahid

引用次数: 1

Unlock the Art of People Analytics through Workforce Competency Management 通过劳动力能力管理解锁人员分析的艺术

Salud Ciencia y Tecnología Pub Date : 2022-12-31 DOI: 10.56294/saludcyt2022245

G. Babu, Shivaprasad Govindappa

{"title":"Unlock the Art of People Analytics through Workforce Competency Management","authors":"G. Babu, Shivaprasad Govindappa","doi":"10.56294/saludcyt2022245","DOIUrl":"https://doi.org/10.56294/saludcyt2022245","url":null,"abstract":"Data application in organizations has shifted its focus to meeting the legal requirements of employment. This shift in data use gradually altered the dynamics of the Human Resource Management (HRM) role, and organizations now expect high-quality analysis from HR professionals.\u0000Various studies suggested that the use of Human Resource Analytics (HRA) would assist HR professionals in developing diverse viewpoints on their contribution to the financial targets of organizations through the creation of suitable measurements. Still, not many researchers have explored the role of HRA in increasing the business outcomes of Indian organizations. In this study, we analysed the role of HRA competencies in determining business outcomes as well as examined the gap existing in the expected and existing competencies of HR analysts in Indian organizations.\u0000Our in-depth literature review prepared a conceptual framework based on Capability Motivation and Opportunity (CMO) model. A quantitative methodology was adopted to gather the data as it integrates the components of HRA competency and measures their impact on business outcomes. A structured questionnaire was designed and distributed to 230 HR professionals, including HRA users as well as HR managers who work in different organizations in the city of Bengaluru. The data were analysed using various statistical tools and SPSS software. Overall, our study provides a significant depiction of the role of HRA in determining business outcomes, as well as the gap between the competencies demonstrated by HR analysts and the competency levels expected of them.","PeriodicalId":184806,"journal":{"name":"Salud Ciencia y Tecnología","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122540070","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: 6

IOT Based secured Low-cost Visitor Tracker using smart Application 使用智能应用程序的基于物联网的安全低成本访客跟踪器

Salud Ciencia y Tecnología Pub Date : 2022-12-31 DOI: 10.56294/saludcyt2022238

N. D. Reddy, Ganesh Narasimhan

{"title":"IOT Based secured Low-cost Visitor Tracker using smart Application","authors":"N. D. Reddy, Ganesh Narasimhan","doi":"10.56294/saludcyt2022238","DOIUrl":"https://doi.org/10.56294/saludcyt2022238","url":null,"abstract":"Since the end of 2019, the world has been reeling with the COVID-19 pandemic. The drastic and dramatic spread has affected human lives and livelihoods as well as businesses across the world. Organizations across the world are uniting and coming forward to minimize the seriousness of healthcare. The survival of the human community should be the top priority during this time. To control spread, respective higher authorities impose restrictions on public gatherings, with strict action taken against those who exceed the maximum allowed people in public gatherings. Our IOT-based project aims to limit the number of people entering the academic blocks during COVID-19 in order to monitor overcrowding in these buildings. Our electrical circuit or device will monitor the number of people entering the academic blocks, and once the maximum allowed number of people is reached, the next person will not be allowed to enter the building, and the electrical circuit will ring a siren. This will also ensure that social distancing is maintained. Our project is based on Arduino. Several electrical components, such as an Arduino Uno, a prototype, a breadboard, a piezo-buzzer, ultraviolet sensors, and jumper wires, were used. Software simulations were carried out in the well-known online electrical circuit compiler, Tinkercad. A hardware simulation of our project was also made.","PeriodicalId":184806,"journal":{"name":"Salud Ciencia y Tecnología","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122542341","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

Machine learning approach to predict delay in smart infusion pump 智能输液泵延迟预测的机器学习方法

Salud Ciencia y Tecnología Pub Date : 2022-12-31 DOI: 10.56294/saludcyt2022243

Jayakumar Venkata Alamelu, A. Mythili

{"title":"Machine learning approach to predict delay in smart infusion pump","authors":"Jayakumar Venkata Alamelu, A. Mythili","doi":"10.56294/saludcyt2022243","DOIUrl":"https://doi.org/10.56294/saludcyt2022243","url":null,"abstract":"Wireless smart infusion pumps are currently under development. It is critical to ensure that the patient receives the correct drug concentration. Practically, the performance of the pump has relied on the minimum startup delay. The minimization of the startup delay is prominent in open-type infusion pumps and rarely in closed types. The emphasis on reducing startup delay puts practitioners and caregivers at ease while ensuring patient safety. The startup delay of the infusion pump is based on the flow rate and the lag time. The prediction of the flow rate and lag time for an infusion pump is necessitated to ensure a safe drug dosage for the patient. Currently, machine learning methods and computational methods to predict the desired parameter are widely used in healthcare applications and medical device performance. The reduction of start-up delay can be achieved by predicting its associated parameters lag time and flow rate. The flow rate is dependent on the speed of the infusion pump, which has to be calculated based on the number of gears and revolutions. The speed of the pump has to be predicted for accurate flow delivery. Our present research attempts to predict the lag time of an infusion pump using different kernel functions of support vector regression (SVR). The performance of the SVR for each kernel function is compared with R2, RMSE, MAE, and prediction accuracy. The prediction accuracy of 99,7 % has been obtained in optimized SVM.","PeriodicalId":184806,"journal":{"name":"Salud Ciencia y Tecnología","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127745563","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

Trend analysis of technology by using F-trem japanese patent and core technology clarification with Quality Function Deployment (QFD) approach 利用F-trem日本专利进行技术趋势分析，利用质量功能展开(QFD)方法对核心技术进行澄清

Salud Ciencia y Tecnología Pub Date : 2022-12-31 DOI: 10.56294/saludcyt2022196

Yoshie Ishii, S. Haruyama

引用次数: 1

Crowd Behavior Analysis and Prediction using the Feature Fusion Framework 基于特征融合框架的人群行为分析与预测

Salud Ciencia y Tecnología Pub Date : 2022-12-31 DOI: 10.56294/saludcyt2022251

Manu Yadakere Murthygowda, R. G. Krishnegowda, S. S. Venkataramu

引用次数: 3

Ancestral knowledge and pedagogical projects with students of the Pijao ethnic group, Coyaima Tolima 祖先的知识和教学项目与学生的Pijao民族，科亚伊马托利马

Salud Ciencia y Tecnología Pub Date : 2022-12-06 DOI: 10.56294/saludcyt2022150

Julián Steve Guzmán Rodríguez, Idana Beroska Rincon Soto, Nayibe Soraya Sanchez Leon

{"title":"Ancestral knowledge and pedagogical projects with students of the Pijao ethnic group, Coyaima Tolima","authors":"Julián Steve Guzmán Rodríguez, Idana Beroska Rincon Soto, Nayibe Soraya Sanchez Leon","doi":"10.56294/saludcyt2022150","DOIUrl":"https://doi.org/10.56294/saludcyt2022150","url":null,"abstract":"Indigenous peoples possess a wealth of knowledge, traditional practices, cultural forms, and access to natural resources, as well as collective social organization and community life that contribute to factors of resilience in the face of adversity and uncertainty. Rural communities face the greatest risks of job automation, as their economies tend to have activities with a high proportion of repetitive tasks, low economic diversification, and emigration of highly skilled labor. Preparing rural economies to face the challenges and reap the benefits of technological change is crucial to make the most of the digital era for people and businesses. It is necessary to develop a learning management system based on the Moodle platform to improve the teaching and learning processes in the area of technology and informatics, since in the rural regions of Colombia the necessary policies to make the promises of digital technologies a reality for rural growth and welfare are an open debate. It is necessary to recognize the existence of a traditional episteme and analyze the plurality of knowledge in the tradition of knowledge, in the sociocultural scenarios that occur, in order not to perpetuate the forms of social, cultural, and educational reproduction under a unilateral vision of knowledge.","PeriodicalId":184806,"journal":{"name":"Salud Ciencia y Tecnología","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134400870","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

Análisis de los riesgos asociados a la prestación de servicios en sala de enfermedades respiratorias durante la pandemia COVID-19 en el Hospital María Inmaculada maria Inmaculada医院COVID-19大流行期间呼吸道疾病病房提供服务的相关风险分析

Salud Ciencia y Tecnología Pub Date : 2022-11-25 DOI: 10.56294/saludcyt2022123

Carlos Alberto Gómez Cano, Verenice Sánchez Castillo, Yenncy Ballen Losada, Maria Alejandra Bermudez Monje

{"title":"Análisis de los riesgos asociados a la prestación de servicios en sala de enfermedades respiratorias durante la pandemia COVID-19 en el Hospital María Inmaculada","authors":"Carlos Alberto Gómez Cano, Verenice Sánchez Castillo, Yenncy Ballen Losada, Maria Alejandra Bermudez Monje","doi":"10.56294/saludcyt2022123","DOIUrl":"https://doi.org/10.56294/saludcyt2022123","url":null,"abstract":"Objective: To evaluate the risks associated with the Covid 19 pandemic to workers in the ERA ward of the Maria Immaculada Departmental Hospital.\u0000Method: The method used was descriptive with a qualitative and quantitative approach, in which a documentary review was carried out, a survey of a sample of 69 health workers in the service mentioned above and an interview with the Director of Human Talent and the Professional of the OHS Office.\u0000Results: The findings confirm that the most relevant risks for these personnel were psychological, which affect their emotions; biological due to exposure to contagion; and ergonomic, due to long working hours.\u0000Discussion: The valuation of the risks, in view of the position of the authors in their classification, and their high impact on the development of the personnel's functions, presented little accompaniment by the Hospital.\u0000Conclusions: There were many risks identified in the OHS ward service that had significant labor, social and psychological consequences, resulting in greater support from the Hospital, since social distancing was a limitation for the mitigation of this risk.","PeriodicalId":184806,"journal":{"name":"Salud Ciencia y Tecnología","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117346052","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

Anxiety and depression during the COVID-19 pandemic in inhabitants of Peru 秘鲁居民在COVID-19大流行期间的焦虑和抑郁

Salud Ciencia y Tecnología Pub Date : 2022-11-16 DOI: 10.56294/saludcyt2022128

Idana Beroska Rincon Soto, Velia Graciela Vera Calmet, Haydee Mercedes Aguilar Armas, Mirtha Mercedes Fernández Mantilla, Guelly Jeannelle Villalobos Sánchez

引用次数: 1