Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9336805
A. Chaturvedi, M. S. Chahar, Kalpana Sharma
cloud computing provides an open architecture and resource sharing computing platform with pay-per-use model. It is now a popular computing platform and most of the new internet based computing services are on this innovation supported environment. We consider it as innovation supported because developers are more focused here on the service design, rather on arranging the infrastructure, network, management of the resources, etc. These all things are available in cloud computing on hired basis. Now, a big question arises here is the security of data or privacy of data because the service provider is already using the infrastructure, network, storage, processors, and other more resources from the third party. So, the security or privacy of the portable user's data is the main motivation for writing this research paper. In this paper, we are proposing an innovative perturbation algorithm MAP() to secure the portable user's data on the cloud server.
{"title":"Proposing Innovative Perturbation Algorithm for Securing Portable Data on Cloud Servers","authors":"A. Chaturvedi, M. S. Chahar, Kalpana Sharma","doi":"10.1109/SMART50582.2020.9336805","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9336805","url":null,"abstract":"cloud computing provides an open architecture and resource sharing computing platform with pay-per-use model. It is now a popular computing platform and most of the new internet based computing services are on this innovation supported environment. We consider it as innovation supported because developers are more focused here on the service design, rather on arranging the infrastructure, network, management of the resources, etc. These all things are available in cloud computing on hired basis. Now, a big question arises here is the security of data or privacy of data because the service provider is already using the infrastructure, network, storage, processors, and other more resources from the third party. So, the security or privacy of the portable user's data is the main motivation for writing this research paper. In this paper, we are proposing an innovative perturbation algorithm MAP() to secure the portable user's data on the cloud server.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115577523","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}
Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9336798
M. Swetha, M. Rajendiran
The Corona virus Disease 2019 (COVID-19) is an epidemic and life threatening disease that has an abundant influence on the public health of people all around the world affecting their normal day to day life. The medical monitoring of the infected patients reveals various symptoms that can be analysed, classified and the output can help the physicians to treat the new cases. In this paper we have done an extensive research of the various Machine Learning(ML) and Deep Learning (DL) algorithms employed by the researchers and health workers over the COVID-19 data obtained from the affected patients in the classification of the disease. This extensive analysis will help the future analysts to consider the effective technique that can provide them faster results during both the phases of training and inference. We have given a comparative analysis of the various ML/DL techniques employed for COVID-19 and its remarks.
{"title":"A Review on Effectiveness of Artificial Intelligence Techniques in the Detection of COVID-19","authors":"M. Swetha, M. Rajendiran","doi":"10.1109/SMART50582.2020.9336798","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9336798","url":null,"abstract":"The Corona virus Disease 2019 (COVID-19) is an epidemic and life threatening disease that has an abundant influence on the public health of people all around the world affecting their normal day to day life. The medical monitoring of the infected patients reveals various symptoms that can be analysed, classified and the output can help the physicians to treat the new cases. In this paper we have done an extensive research of the various Machine Learning(ML) and Deep Learning (DL) algorithms employed by the researchers and health workers over the COVID-19 data obtained from the affected patients in the classification of the disease. This extensive analysis will help the future analysts to consider the effective technique that can provide them faster results during both the phases of training and inference. We have given a comparative analysis of the various ML/DL techniques employed for COVID-19 and its remarks.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114645117","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}
Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9337079
Rohit Srivastava, Vivek Kumar
Accidents are increasing day by day with the increase in lanes of road and human less toll system. The increase in speed gives rise to accidents at some point of crossing. SUMO is a simulation package based on the concept of the microscopic car following model. This paper surveys various technologies and applications simulated with SUMO for various purposes and conclude that SUMO is an effective tool for minimizing accidents in Industry 4.0 era, where cars are talking with other cars and devices on the run. With the help of this tool, accidents and avoidance mechanism is devised to prevent accidents in new era.
{"title":"Accident Avoidance Simulation using SUMO","authors":"Rohit Srivastava, Vivek Kumar","doi":"10.1109/SMART50582.2020.9337079","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337079","url":null,"abstract":"Accidents are increasing day by day with the increase in lanes of road and human less toll system. The increase in speed gives rise to accidents at some point of crossing. SUMO is a simulation package based on the concept of the microscopic car following model. This paper surveys various technologies and applications simulated with SUMO for various purposes and conclude that SUMO is an effective tool for minimizing accidents in Industry 4.0 era, where cars are talking with other cars and devices on the run. With the help of this tool, accidents and avoidance mechanism is devised to prevent accidents in new era.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114647129","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}
Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9337125
J. Shirley, S. Malathi
In Today's fast paced world, constant changes occur in everything around us especially technologies and this triggers the education sector to embrace the advancements. One such major distinctive approach is 3D Augmented Reality (AR). AR strengthens & supplements what can be seen, heard, smelled and sensed and allows the users to interact with the real & virtual worlds simultaneously. This paper reviews on how AR has been used in various genres in the field of education. Also, the benefits, the barriers faced and tests results over how effective is AR in acquiring knowledge is discussed. Amongst the varied published papers, the documents picked in this survey are from prominent journals, special issue articles and conferences that have implied ‘Marker based augmented reality’. The paper will give an overview about the prevalent methodology used in developing the AR based applications. Adding to the aforesaid data, the paper also gives information on, how in pandemic situation, AR has brought a new dimension to online classes and has become the head-turner.
{"title":"A Preview of Augmented Reality as Pioneering Method in Education","authors":"J. Shirley, S. Malathi","doi":"10.1109/SMART50582.2020.9337125","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337125","url":null,"abstract":"In Today's fast paced world, constant changes occur in everything around us especially technologies and this triggers the education sector to embrace the advancements. One such major distinctive approach is 3D Augmented Reality (AR). AR strengthens & supplements what can be seen, heard, smelled and sensed and allows the users to interact with the real & virtual worlds simultaneously. This paper reviews on how AR has been used in various genres in the field of education. Also, the benefits, the barriers faced and tests results over how effective is AR in acquiring knowledge is discussed. Amongst the varied published papers, the documents picked in this survey are from prominent journals, special issue articles and conferences that have implied ‘Marker based augmented reality’. The paper will give an overview about the prevalent methodology used in developing the AR based applications. Adding to the aforesaid data, the paper also gives information on, how in pandemic situation, AR has brought a new dimension to online classes and has become the head-turner.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125247484","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}
Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9337092
L. Poongothai, K. Sharmila
An organ that is imperative and must be preserved as impeccable is the human eye. The thin membrane of the eye permits the infiltration of luminosity, and aids in gaining access to the view that one is able to see. With the neoteric times evincing a virtual boom, digital modes of operation are sky-scraping. An umpteen variety of applications have made way into the quotidian tasks that one performs with much facileness. There are many constraints involved that can potentially result in the numerous concomitant detriments of the most vital organ that accords sight for an individual. Retinal detachment is one of the serious perils that an individual may face when the retinal cells from the blood channel that carry oxygen with the adequate nutriments get dissociated. The ensuing precariousness lies with the individual taking measures to treat it at an earlier stage of development. As the risks pertaining to the untreated detachment can lead to purblind vision and subsequently to complete blindness. Automated fundoscopy and eye testing mechanisms are some of the most conventional methods for the recognition of Retinal Detachment (RD). However, these strategies are the traditional procedures which have become atypical when observed with certain case studies. Ophthalmologists to a great extent utilize visual ultrasound to upgrade their clinical crispness to agnize and preclude RD. The previous indagation focused on identifying the detached area in the retina using various algorithms. However, this paper, pivots on ensuring that the Region of Interest (ROI) is extracted with higher precision from the fundus image as compared to the other methods used for unsheathing the detached area. The ROI is then masked in order to distinguish it from the other pixels of the image. The simulations of this study are implemented with MATLAB, and the results are procured successfully.
{"title":"Collating the Exactness of ROI Extraction for a Retinal Detached Eye","authors":"L. Poongothai, K. Sharmila","doi":"10.1109/SMART50582.2020.9337092","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337092","url":null,"abstract":"An organ that is imperative and must be preserved as impeccable is the human eye. The thin membrane of the eye permits the infiltration of luminosity, and aids in gaining access to the view that one is able to see. With the neoteric times evincing a virtual boom, digital modes of operation are sky-scraping. An umpteen variety of applications have made way into the quotidian tasks that one performs with much facileness. There are many constraints involved that can potentially result in the numerous concomitant detriments of the most vital organ that accords sight for an individual. Retinal detachment is one of the serious perils that an individual may face when the retinal cells from the blood channel that carry oxygen with the adequate nutriments get dissociated. The ensuing precariousness lies with the individual taking measures to treat it at an earlier stage of development. As the risks pertaining to the untreated detachment can lead to purblind vision and subsequently to complete blindness. Automated fundoscopy and eye testing mechanisms are some of the most conventional methods for the recognition of Retinal Detachment (RD). However, these strategies are the traditional procedures which have become atypical when observed with certain case studies. Ophthalmologists to a great extent utilize visual ultrasound to upgrade their clinical crispness to agnize and preclude RD. The previous indagation focused on identifying the detached area in the retina using various algorithms. However, this paper, pivots on ensuring that the Region of Interest (ROI) is extracted with higher precision from the fundus image as compared to the other methods used for unsheathing the detached area. The ROI is then masked in order to distinguish it from the other pixels of the image. The simulations of this study are implemented with MATLAB, and the results are procured successfully.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125973748","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}
Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9336796
Ekta Maini, B. Maini, B. Venkateswarlu, Dheeraj Marwaha
In healthcare sector, industry 4.0 is known as health 4.0. Health 4.0 refers to transformation of healthcare sector using digital technologies. This paper discusses the obstacles in adopting health 4.0 in India. After extensive literature review and discussions with experts from healthcare and information technology sector, twelve obstacles were identified. Risk of losing jobs, apprehensions regarding digital technologies, lack of clarity of data privacy regulations, and shortage of interdisciplinary research activities were the major points of concern. Timely steps taken by the government authorities will help realize the aim of health 4.0 - to reduce the cost of treatment and improve quality of healthcare.
{"title":"Health 4.0-Can India Make it?","authors":"Ekta Maini, B. Maini, B. Venkateswarlu, Dheeraj Marwaha","doi":"10.1109/SMART50582.2020.9336796","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9336796","url":null,"abstract":"In healthcare sector, industry 4.0 is known as health 4.0. Health 4.0 refers to transformation of healthcare sector using digital technologies. This paper discusses the obstacles in adopting health 4.0 in India. After extensive literature review and discussions with experts from healthcare and information technology sector, twelve obstacles were identified. Risk of losing jobs, apprehensions regarding digital technologies, lack of clarity of data privacy regulations, and shortage of interdisciplinary research activities were the major points of concern. Timely steps taken by the government authorities will help realize the aim of health 4.0 - to reduce the cost of treatment and improve quality of healthcare.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126066051","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}
Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9337118
S. Sharma, Bhavya Sharma
Diabetes is a matter of concern for the health of the entire world, its diagnosis and cure are among the prime challenge for the medical fraternity, because it can be controlled but can't be cured, sooner the diagnosis the better it will be for the patient. Thus, use of machine learning for timely classification, of diabetes plays a vital role to protect patient from the life threatening complications in future. Various classification techniques are available in Machine Learning (ML) viz. Support Vector Machines (SVM), Random Forest, Naïve Bayes Classifier, Linear Regression (LR), K-Nearest Neighbor(KNN) algorithm, etc. etc. But the question is which of the classification techniques, timely and accurately identifies this sensitive disorder. While predicting Diabetes using any machine learning algorithm, the accuracy, specificity and sensitivity, are some of the important parameters. The strengthening of these parameters requires the understanding of dataset under consideration, i.e. whether the data set is having some missing values or outliers, if missing values exists then to strengthen the prediction accuracy; one has to apply the data imputation techniques on the dataset. In the performed work the well-known dataset (Pima Indian) from UCI repository, was subject to data imputation techniques to handle the missing values present in it(tabulated in Table-1). Thereafter the said Machine Learning techniques were applied, and compared on the basis of various parameters viz. Accuracy, Sensitivity, and Specificity etc., to choose the best among algorithm one has to compare the multiple criteria's altogether, which is quite challenging. Thus, in the performed work the Evaluation Based on Distance from Average Solution (EDAS) is applied, it is a technique of Multi-Criteria-Decision-Making (MCDM). By applying EDAS over the performance evaluation statistics (speed, accuracy, specificity and sensitivity) of various classification algorithms viz. Naïve Bayes (NB) Classifier, Support Vector Machines (SVM),K-Nearest Neighbor (KNN), Random Forest(RF), Linear Regression (LR); it is found that the Naïve Bayes (NB) is Ranked as the best Classifier and Random Forest (RF) was the second best ranked alternative for analyzing the PIMA INDIAN DATASET, to predict the diabetes.
糖尿病是一个关乎整个世界健康的问题，它的诊断和治疗是医学界面临的主要挑战之一，因为它可以控制但不能治愈，越早诊断对病人越好。因此，利用机器学习对糖尿病进行及时分类，对于保护患者免受未来危及生命的并发症的影响具有至关重要的作用。机器学习(ML)中可以使用各种分类技术，即支持向量机(SVM)，随机森林，Naïve贝叶斯分类器，线性回归(LR)， k -最近邻(KNN)算法等。但问题是哪一种分类技术能及时准确地识别出这种敏感的疾病。在使用任何机器学习算法预测糖尿病时，准确性、特异性和敏感性是一些重要的参数。这些参数的强化需要对所考虑的数据集的理解，即数据集是否存在缺失值或异常值，如果存在缺失值则加强预测精度;必须在数据集上应用数据输入技术。在执行的工作中，来自UCI存储库的知名数据集(皮马印第安人)受到数据插入技术的影响，以处理其中存在的缺失值(见表1)。此后，上述机器学习技术被应用，并在各种参数的基础上进行比较，即准确性，灵敏度和特异性等，要在算法中选择最佳算法，必须同时比较多个标准，这是相当具有挑战性的。因此，在实际工作中，基于平均解距离的评价(EDAS)是一种多准则决策(MCDM)技术。通过将EDAS应用于各种分类算法的性能评估统计(速度，准确性，特异性和灵敏度)，即Naïve贝叶斯(NB)分类器，支持向量机(SVM)， k -最近邻(KNN)，随机森林(RF)，线性回归(LR);发现Naïve贝叶斯(NB)被评为最佳分类器，随机森林(RF)是分析PIMA印度数据集预测糖尿病的第二好选择。
{"title":"EDAS Based Selection of Machine Learning Algorithm for Diabetes Detection","authors":"S. Sharma, Bhavya Sharma","doi":"10.1109/SMART50582.2020.9337118","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337118","url":null,"abstract":"Diabetes is a matter of concern for the health of the entire world, its diagnosis and cure are among the prime challenge for the medical fraternity, because it can be controlled but can't be cured, sooner the diagnosis the better it will be for the patient. Thus, use of machine learning for timely classification, of diabetes plays a vital role to protect patient from the life threatening complications in future. Various classification techniques are available in Machine Learning (ML) viz. Support Vector Machines (SVM), Random Forest, Naïve Bayes Classifier, Linear Regression (LR), K-Nearest Neighbor(KNN) algorithm, etc. etc. But the question is which of the classification techniques, timely and accurately identifies this sensitive disorder. While predicting Diabetes using any machine learning algorithm, the accuracy, specificity and sensitivity, are some of the important parameters. The strengthening of these parameters requires the understanding of dataset under consideration, i.e. whether the data set is having some missing values or outliers, if missing values exists then to strengthen the prediction accuracy; one has to apply the data imputation techniques on the dataset. In the performed work the well-known dataset (Pima Indian) from UCI repository, was subject to data imputation techniques to handle the missing values present in it(tabulated in Table-1). Thereafter the said Machine Learning techniques were applied, and compared on the basis of various parameters viz. Accuracy, Sensitivity, and Specificity etc., to choose the best among algorithm one has to compare the multiple criteria's altogether, which is quite challenging. Thus, in the performed work the Evaluation Based on Distance from Average Solution (EDAS) is applied, it is a technique of Multi-Criteria-Decision-Making (MCDM). By applying EDAS over the performance evaluation statistics (speed, accuracy, specificity and sensitivity) of various classification algorithms viz. Naïve Bayes (NB) Classifier, Support Vector Machines (SVM),K-Nearest Neighbor (KNN), Random Forest(RF), Linear Regression (LR); it is found that the Naïve Bayes (NB) is Ranked as the best Classifier and Random Forest (RF) was the second best ranked alternative for analyzing the PIMA INDIAN DATASET, to predict the diabetes.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127474565","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}
Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9337116
Priti C. Golar, Brijesh Khandelwal
Every authentication process initially requires the acceptance of the secure system that is easy, flexible and adaptable. One of the authentication methods which take the base of remembrance of secure passwords is the graphical knowledge based authentication. Among its two types i.e. recognition based and recall based, the dimension of this study revolves around the recall type authentication system. For this the research study aim to analyze the usability aspect in the existing recall knowledge based authentication systems. Based on the facts and findings of the existing system, the objective is to design the phases of proposed authentication process. In accordance to the proposed authentication process, next step is to identify the usability evaluation parameters. The details of the existing and proposed specification of each usability evaluation parameter are discussed using the flowcharts.
{"title":"Study of Usability Parameter for Graphical Based Authentication System","authors":"Priti C. Golar, Brijesh Khandelwal","doi":"10.1109/SMART50582.2020.9337116","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337116","url":null,"abstract":"Every authentication process initially requires the acceptance of the secure system that is easy, flexible and adaptable. One of the authentication methods which take the base of remembrance of secure passwords is the graphical knowledge based authentication. Among its two types i.e. recognition based and recall based, the dimension of this study revolves around the recall type authentication system. For this the research study aim to analyze the usability aspect in the existing recall knowledge based authentication systems. Based on the facts and findings of the existing system, the objective is to design the phases of proposed authentication process. In accordance to the proposed authentication process, next step is to identify the usability evaluation parameters. The details of the existing and proposed specification of each usability evaluation parameter are discussed using the flowcharts.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125238248","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}
Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9337134
Akshaj Arora, Sahitya Singh, M. Pandey, Saket Kumar, S. Pandey
We propose a new multi-patch antenna for radio frequency energy harvesting. The designed antenna can scavenge more power from ambient with improved gain and directivity. The proposed antenna uses FR4 substrate of 1.6mm thickness. This design efficaciously radiates at 900 MHz frequency with the high return loss of −64dB. The new design is showing a peak gain of 36dB with considerable VSWR(<2). This antenna shows a capability of harvesting energy from GSM band and covering the wide range frequency of 2.9-4 GHz including Wi-MAX. Experiments are conducted to obtain the return loss and radiation pattern. Also, measurements conducted show an radio frequency to DC conversion voltage of 100mV. Experimental results obtained are in compared with the simulated results and are closely matching.
{"title":"Experimental Investigation of a Novel Multi-Patch Fractal Antenna for Radio Frequency Energy Harvesting","authors":"Akshaj Arora, Sahitya Singh, M. Pandey, Saket Kumar, S. Pandey","doi":"10.1109/SMART50582.2020.9337134","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337134","url":null,"abstract":"We propose a new multi-patch antenna for radio frequency energy harvesting. The designed antenna can scavenge more power from ambient with improved gain and directivity. The proposed antenna uses FR4 substrate of 1.6mm thickness. This design efficaciously radiates at 900 MHz frequency with the high return loss of −64dB. The new design is showing a peak gain of 36dB with considerable VSWR(<2). This antenna shows a capability of harvesting energy from GSM band and covering the wide range frequency of 2.9-4 GHz including Wi-MAX. Experiments are conducted to obtain the return loss and radiation pattern. Also, measurements conducted show an radio frequency to DC conversion voltage of 100mV. Experimental results obtained are in compared with the simulated results and are closely matching.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132029656","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}
Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9337124
Abhijit Barman, Rubi Das, P. K. De
In most of the inventory like food, fashion, electric materials, building materials, a retailer needs to maintain varieties of different inventory items. On the other hand, racks overflowing with a large number of quantities in an inventory attracts the attention of more customers. Besides, the selling price is a crucial factor in demand based on marketing and economic theory. Assimilating all these variates, the present paper advocates a multi-item single-period inventory model that generalizes the pricing and inventory policy for instantaneous deteriorating items. A time-varying, price-sensitive, and stock dependent demand function has been formulated. Shortages are allowed and partially backlogged. The model is developed under a known initial inventory. An iterative algorithm has been incorporated to find the optimal procedure. The prime objective of this model is to determine the selling price, time length up to zero inventory, optimal lot size so that the profit of the retailer will be maximized. The model is demonstrated with a numerical example which is followed by a sensitivity analysis.
{"title":"Pricing and Inventory Decisions of Multi-item Deteriorating Inventory System under Stock, Time and Price Sensitive Demand Policy","authors":"Abhijit Barman, Rubi Das, P. K. De","doi":"10.1109/SMART50582.2020.9337124","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337124","url":null,"abstract":"In most of the inventory like food, fashion, electric materials, building materials, a retailer needs to maintain varieties of different inventory items. On the other hand, racks overflowing with a large number of quantities in an inventory attracts the attention of more customers. Besides, the selling price is a crucial factor in demand based on marketing and economic theory. Assimilating all these variates, the present paper advocates a multi-item single-period inventory model that generalizes the pricing and inventory policy for instantaneous deteriorating items. A time-varying, price-sensitive, and stock dependent demand function has been formulated. Shortages are allowed and partially backlogged. The model is developed under a known initial inventory. An iterative algorithm has been incorporated to find the optimal procedure. The prime objective of this model is to determine the selling price, time length up to zero inventory, optimal lot size so that the profit of the retailer will be maximized. The model is demonstrated with a numerical example which is followed by a sensitivity analysis.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128529929","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：