Pharmeuropa. Special issue biologicals最新文献_第3页

Ayurvedic Companies on Consumer Behaviour 阿育吠陀公司的消费者行为

Pharmeuropa. Special issue biologicals Pub Date : 2020-07-04 DOI: 10.35940/ijitee.l1010.10812s319

Shipra Gupta, P. Sharma

引用次数: 0

Effects of Computer/Laptop Screen Radiation on Human Beings 电脑/手提电脑屏幕辐射对人体的影响

Pharmeuropa. Special issue biologicals Pub Date : 2020-07-04 DOI: 10.35940/ijitee.d1015.10812s319

Vijay Kumar, Deepak Kotnala, J. Kalra, Bhaskar Pant

引用次数: 1

Comparison between the Naïve Bayes and Hierarchical Clustering to Classify The Global Landslide Catalog for the Prediction of the Landslide. Naïve贝叶斯与分层聚类分类滑坡全球目录预测的比较

Pharmeuropa. Special issue biologicals Pub Date : 2020-07-04 DOI: 10.35940/ijitee.l1008.10812s319

{"title":"Comparison between the Naïve Bayes and Hierarchical Clustering to Classify The Global Landslide Catalog for the Prediction of the Landslide.","authors":"","doi":"10.35940/ijitee.l1008.10812s319","DOIUrl":"https://doi.org/10.35940/ijitee.l1008.10812s319","url":null,"abstract":"Machine Learning has been used since long to\u0000identify the features of a given datasets that are important for the\u0000prediction. Landslides are complex events taking place in the\u0000various regions of the world. It is the movement of the debris, soil\u0000or rocks from an upper plane in downward direction.\u0000Identification of the features that are used for the Landslide\u0000involves consideration of various categories of parameters.\u0000Present paper studies about the performance comparison\u0000between a supervised algorithm Naïve Bayes and unsupervised\u0000algorithm Hierarchical Clustering. Naïve Bayes is a non\u0000parametric supervised algorithm that can be used for the\u0000forecasting purposes in the field of Agriculture, Economics,\u0000Aviation etc, whereas Hierarchical Clustering is used to partition\u0000the available instances of a dataset into optimal homogeneous\u0000groups on the basis of the similarities between the datapoints.\u0000The present paper draws a comparison between the accuracy of\u0000the Naïve Bayes and Hierarchical Clustering for the prediction of\u0000the Landslide dataset. The dataset used is the Global Landslide\u0000Catalog that has important parameters like date, location\u0000coordinates, country, trigger of the event, continent etc. Before\u0000the implementation of both the algorithms, reduction of the\u0000parameters is carried out using subset evaluation of the\u0000parameters and considering only the most important.","PeriodicalId":83853,"journal":{"name":"Pharmeuropa. Special issue biologicals","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89022492","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

Test-Case Minimization Technique for Large Scale Software using Link-Matrix 基于链接矩阵的大规模软件测试用例最小化技术

Pharmeuropa. Special issue biologicals Pub Date : 2020-07-04 DOI: 10.35940/ijitee.l1012.10812s319

U. Tiwari, Santosh Kumar, K. Purohit, Vijay Kumar

{"title":"Test-Case Minimization Technique for Large Scale Software using Link-Matrix","authors":"U. Tiwari, Santosh Kumar, K. Purohit, Vijay Kumar","doi":"10.35940/ijitee.l1012.10812s319","DOIUrl":"https://doi.org/10.35940/ijitee.l1012.10812s319","url":null,"abstract":"In today’s software development environment, testing\u0000commences just after the finalization of systems requirements.\u0000Testing process is executed to make the underlying software error\u0000free, to enhance and assure the development of reliable and\u0000quality software product. This paper explores and analyses some\u0000of black-box as well as white-box testing methods according to\u0000their key findings, measures and metrics and considerations of\u0000testing factors. Further this paper proposes an efficient test case\u0000minimization technique. This technique uses Link-Matrix to\u0000identify the number of actual parameters used between\u0000components. We have used Boundary Value Analysis (BVA)\u0000method to compute the count of tests cases for individual modules\u0000or components. We have compared the proposed technique with\u0000all three cases of Boundary Value Analysis method including\u0000normal case, robust case and worst case. Results achieved during\u0000comparison shows that this proposed technique is effective to\u0000minimize the total count of test-cases especially in case of robust\u0000and worst scenarios.","PeriodicalId":83853,"journal":{"name":"Pharmeuropa. Special issue biologicals","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79022859","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

Dynamic Range Method using Hiddenmarkov Models in RSA and DSA Algorithm RSA和DSA算法中使用隐马尔可夫模型的动态范围方法

Pharmeuropa. Special issue biologicals Pub Date : 2020-07-04 DOI: 10.35940/ijitee.l1007.10812s319

N. Mohd, A. Dumka, Vijay Kumar

{"title":"Dynamic Range Method using Hiddenmarkov Models in RSA and DSA Algorithm","authors":"N. Mohd, A. Dumka, Vijay Kumar","doi":"10.35940/ijitee.l1007.10812s319","DOIUrl":"https://doi.org/10.35940/ijitee.l1007.10812s319","url":null,"abstract":"Dynamic range approach has become a highest\u0000level of research field from last some year. The initiative beyond\u0000this process researched field is the reality that some\u0000particularrange are used in current environment and also which\u0000is used or deploy in an in effectivemanner. Theoverall wireless\u0000various range are allocated and fixed, but it is not need to be\u0000used. So, at this time the requirement for research in various\u0000wireless technologies expanding and there is no space for the\u0000wireless various rangesto assignimportant frequency\u0000bandsrelated to the future wireless technologies. Therefore, this\u0000is a reason to increase the use of the various ranges. To target\u0000this, we must be calculating the method for sharing the range.\u0000Our purpose to find out the wireless sensors’ techniques,\u0000artificial Intelligencetechniques, cloud computing techniques for\u0000updating verification time of dynamic range approach. So, we\u0000used in this paper the Hidden Markov Model for defining the\u0000various types of range characteristics and forecast\u0000therangesample that will be obtained in future related methods.\u0000This forecast is used to define the RSA and DSA in better its\u0000verification time. The method for utilization HMM technique for\u0000minimizing the verification time of RSA and DSA will be\u0000executed in NS2 and Matlab simulator","PeriodicalId":83853,"journal":{"name":"Pharmeuropa. Special issue biologicals","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90511102","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

Accident Severity in India 印度事故严重程度

Pharmeuropa. Special issue biologicals Pub Date : 2020-07-04 DOI: 10.35940/ijitee.l1016.10812s319

Y. Arora, Santosh Kumar, U. Tiwari, Shubhank Singhal, Vijay Kumar

{"title":"Accident Severity in India","authors":"Y. Arora, Santosh Kumar, U. Tiwari, Shubhank Singhal, Vijay Kumar","doi":"10.35940/ijitee.l1016.10812s319","DOIUrl":"https://doi.org/10.35940/ijitee.l1016.10812s319","url":null,"abstract":"Among all the transportation services available, road\u0000transport is one of the most important services available. It acts as\u0000a feeder for the other services. According to the Ministry of Road\u0000Transport and Highways, the road transport amounts to the traffic\u0000of about 87% related to the passenger and 60% related to the\u0000freight. Now, there is another field, where road transport is among\u0000the top list and that field is of road accidents. In 2016, about\u0000150785 people died in road accidents. And as the population is\u0000increasing, there is also an increase in the rate of road accidents.\u0000So, it is vital to analyze the data of road accidents for future\u0000predictions and thereby developing proper measures for this\u0000increasing rate. Many factorsresult in accidents and many cases\u0000might not have been recorded. So, the available data may not be\u0000consistent, but the data is gathered mainly from the Ministry of\u0000Road Transport and Highways and then the information was\u0000extracted from that data. This information is used for the\u0000statistical analysis for the prediction of a future road accident or\u0000accident severity.","PeriodicalId":83853,"journal":{"name":"Pharmeuropa. Special issue biologicals","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88408461","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

Financial Technology (Fin-Tech): Revolutionizing the Indian Agrarian Sector 金融技术(Fin-Tech):革新印度农业部门

Pharmeuropa. Special issue biologicals Pub Date : 2020-07-04 DOI: 10.35940/ijitee.l1001.10812s319

A. Sharma, N. Prakash, V. Sagar, A. Chauhan

{"title":"Financial Technology (Fin-Tech): Revolutionizing the Indian Agrarian Sector","authors":"A. Sharma, N. Prakash, V. Sagar, A. Chauhan","doi":"10.35940/ijitee.l1001.10812s319","DOIUrl":"https://doi.org/10.35940/ijitee.l1001.10812s319","url":null,"abstract":"Agriculture is the largest employer of India which\u0000constitutes 50% of its workforce and also a contributor to 17-18%\u0000in its GDP. Still, it is one of the most disorganized and disjointed\u0000sector.Somewhere this sector has not been given due attention\u0000and itcan be proven with the fact that the GDP contribution of\u0000this sector has fallen from 43% to 18% (1970- 2018).Though the\u0000Indian Government is digitally driving to provide financial\u0000inclusion to more than 145 million households that are not\u0000having access to banking services but still the farmers\u0000aremajorlyusing traditional credit for their basic and main two\u0000factors; Production & Consumption (Distribution). The financial\u0000segment has an important role to make agriculture aprime\u0000contributorto the economic growth of the country and also in\u0000reducing poverty. A fast-evolving technological landscape is\u0000bringing up new potential to focus&provide credit, risk-sharing,\u0000and to explore technology to enhance agricultural productivity.\u0000Our paper firstly examines agricultural finance in the Indian\u0000context and then discusses how financial technology (Fin-Tech)\u0000can drive new products in credit and risk markets in India. We\u0000evaluate the role of mobile banking, financial literacy, digital\u0000financial services, digital financial technology, and block-chain\u0000technology. The paper is concluded with a discussion of policy\u0000takeaways for Fin-Tech in agriculture to promote agricultural\u0000growth, enhance financial inclusion, and improve regional\u0000economic integration through agriculture.","PeriodicalId":83853,"journal":{"name":"Pharmeuropa. Special issue biologicals","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83294693","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

Phneological Studies on Trewia Nudiflora

Pharmeuropa. Special issue biologicals Pub Date : 2020-07-04 DOI: 10.35940/ijitee.l1011.10812s319

Kapil Ghai, Navadha Bhatt, B. Bhushan, A. Nayak

引用次数: 1

Implementation of Cashless Economy: Measuring the Impact of Awareness and Advantages with Problems with Reference to North India 无现金经济的实施:衡量意识和优势的影响与问题——以印度北部为例

Pharmeuropa. Special issue biologicals Pub Date : 2020-07-04 DOI: 10.35940/ijitee.d1018.10812s319

A. Uniyal, Rupali Khanna, R. Mukherji, Shipra Gupta

引用次数: 0

Organizational Virtues and Psychological Capital as Positive Predictors of Job Satisfaction and Performance 组织美德和心理资本作为工作满意度和绩效的正向预测因子

Pharmeuropa. Special issue biologicals Pub Date : 2020-07-04 DOI: 10.35940/ijitee.l1013.10812s319

R. Upadhyay, N. Prakash, Abhishek Negi

引用次数: 0