Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9336794
Nisha Sharma, D. Sharma, M. Sharma
Mobile Ad hoc networks (MANET) are becoming extremely popular because of the expedient features that also make them more exposed to various kinds of security attacks. The Wormhole attack is considered to be the most unsafe attack due to its unusual pattern of tunnel creation between two malevolent nodes. In it, one malevolent node attracts all the traffic towards the tunnel and forwards it to another malevolent node at the other end of the tunnel and replays them again in the network. Once the Wormhole tunnel is created it can launch different kind of other attacks such as routing attack, packet dropping, spoofing etc. In past few years a lot of research is done for securing routing protocols. Dynamic Source Routing (DSR) protocol is considered foremost MANET routing protocols. In this paper we are forming the wormhole tunnel in which malevolent nodes use different interfaces for communication in DSR protocol. NS3 simulator is being used for the analysis of the DSR routing protocol under the wormhole attack. This paper provides better understanding of the wormhole attack in DSR protocol which can benefit further research.
{"title":"Wormhole Formation and Simulation in Dynamic Source Routing Protocol using NS3","authors":"Nisha Sharma, D. Sharma, M. Sharma","doi":"10.1109/SMART50582.2020.9336794","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9336794","url":null,"abstract":"Mobile Ad hoc networks (MANET) are becoming extremely popular because of the expedient features that also make them more exposed to various kinds of security attacks. The Wormhole attack is considered to be the most unsafe attack due to its unusual pattern of tunnel creation between two malevolent nodes. In it, one malevolent node attracts all the traffic towards the tunnel and forwards it to another malevolent node at the other end of the tunnel and replays them again in the network. Once the Wormhole tunnel is created it can launch different kind of other attacks such as routing attack, packet dropping, spoofing etc. In past few years a lot of research is done for securing routing protocols. Dynamic Source Routing (DSR) protocol is considered foremost MANET routing protocols. In this paper we are forming the wormhole tunnel in which malevolent nodes use different interfaces for communication in DSR protocol. NS3 simulator is being used for the analysis of the DSR routing protocol under the wormhole attack. This paper provides better understanding of the wormhole attack in DSR protocol which can benefit further research.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"34 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":"126906302","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/SMART50582.2020.9337094
S. Swetha, P. Kamali, B. Swathi, R. Vanithamani, E. Karolinekersin
Oral diseases such as periodontal, oral cancer and tooth trauma are common non-communicable diseases that affect during the lifetime causing pain, uneasiness and even death. Periodontal is the eleventh most prevalent disease globally and the incidence of oral cancer is estimated around 20 cases per 1,000 people. It's normally caused by poor brushing, hormonal changes and flossing habits that allow plaque, a sticky film of bacteria. The mouth is regarded as a mirror of the complete wellness of the body and till now there is no personal device existing currently to monitor the oral health. An accurate prediction is essential for correct diagnosis and treatment of oral diseases. Dental diseases are mostly diagnosed at the later stage after severe pain occurs in the mouth. By predicting it at early stage, oral diseases which slowly make the roots of the teeth to get weaker can be prevented. This work aims at creating an economical, multimodal, personal oral sensing device that automatically senses and categorizes the data which will assist the clinician in early diagnosis and effective treatment. Our proposed smart electronic device automatically captures valuable parameters like pH, temperature, CO2 and other gases to overcome the challenges in the diagnosis of the oral problem. The captured data is fed to Convolutional Neural Network for classification of oral diseases.
{"title":"Oral Disease Detection using Neural Network","authors":"S. Swetha, P. Kamali, B. Swathi, R. Vanithamani, E. Karolinekersin","doi":"10.1109/SMART50582.2020.9337094","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337094","url":null,"abstract":"Oral diseases such as periodontal, oral cancer and tooth trauma are common non-communicable diseases that affect during the lifetime causing pain, uneasiness and even death. Periodontal is the eleventh most prevalent disease globally and the incidence of oral cancer is estimated around 20 cases per 1,000 people. It's normally caused by poor brushing, hormonal changes and flossing habits that allow plaque, a sticky film of bacteria. The mouth is regarded as a mirror of the complete wellness of the body and till now there is no personal device existing currently to monitor the oral health. An accurate prediction is essential for correct diagnosis and treatment of oral diseases. Dental diseases are mostly diagnosed at the later stage after severe pain occurs in the mouth. By predicting it at early stage, oral diseases which slowly make the roots of the teeth to get weaker can be prevented. This work aims at creating an economical, multimodal, personal oral sensing device that automatically senses and categorizes the data which will assist the clinician in early diagnosis and effective treatment. Our proposed smart electronic device automatically captures valuable parameters like pH, temperature, CO2 and other gases to overcome the challenges in the diagnosis of the oral problem. The captured data is fed to Convolutional Neural Network for classification of oral diseases.","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":"114539285","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/SMART50582.2020.9337064
Riya Sharma, Mukul Mogha, Sarvesh Tanwar, A. Rana
On the early stages of developing the industry 4.0 factors which considers as an upcoming combination of cloud computing, Big Data, Machine Learning with Artificial Intelligence and Internet of Things. This will be the hierarchy of such like autonomous tools and robots with digital and physical combination of interconnected platform for the enterprise IT organizations and industries which are managed through previous eras of technology related areas. In the following paper we are highlighted and show the upcoming areas and trends related to the digital and physical technological aspects of industry 4.0 emergence.
{"title":"Emerging Part of Industry 4.0: The Digital and Physical Technology","authors":"Riya Sharma, Mukul Mogha, Sarvesh Tanwar, A. Rana","doi":"10.1109/SMART50582.2020.9337064","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337064","url":null,"abstract":"On the early stages of developing the industry 4.0 factors which considers as an upcoming combination of cloud computing, Big Data, Machine Learning with Artificial Intelligence and Internet of Things. This will be the hierarchy of such like autonomous tools and robots with digital and physical combination of interconnected platform for the enterprise IT organizations and industries which are managed through previous eras of technology related areas. In the following paper we are highlighted and show the upcoming areas and trends related to the digital and physical technological aspects of industry 4.0 emergence.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"554 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":"116375380","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/SMART50582.2020.9337132
J. Rai, R. Tripathi, Nipun Gulati
This paper based on the comprehensive survey of different sectors affected during covid-19 lock down period. due to covid-19 virus extended all over world and affected various country so that these country are faced lot of problem during lock down many corporate companies related to information technology and other manufacturing, they produce lots of work daily basis but at the time of lockdown many companies shut down and completely closed they don't produce any product related our survival large number of peoples death by covid-19 virus in all over the world lot of government and private organization invented different vaccines to control this infected virus but daily uses medicines not beneficial for the treatment of this virus so that WHO declared pandemic conditions and announced different rules or regulation to control this virus due to pandemic situation many country economy graph down day by day and lot of burden make active in industries and downfall economic condition so in this paper we highlighted some affected corporate sectors and can be overcome quickly if use the right tools in all countries.
{"title":"A Comprehensive Survey of IT Sectors Affected by Covid-19","authors":"J. Rai, R. Tripathi, Nipun Gulati","doi":"10.1109/SMART50582.2020.9337132","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337132","url":null,"abstract":"This paper based on the comprehensive survey of different sectors affected during covid-19 lock down period. due to covid-19 virus extended all over world and affected various country so that these country are faced lot of problem during lock down many corporate companies related to information technology and other manufacturing, they produce lots of work daily basis but at the time of lockdown many companies shut down and completely closed they don't produce any product related our survival large number of peoples death by covid-19 virus in all over the world lot of government and private organization invented different vaccines to control this infected virus but daily uses medicines not beneficial for the treatment of this virus so that WHO declared pandemic conditions and announced different rules or regulation to control this virus due to pandemic situation many country economy graph down day by day and lot of burden make active in industries and downfall economic condition so in this paper we highlighted some affected corporate sectors and can be overcome quickly if use the right tools in all countries.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"31 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":"121472074","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/SMART50582.2020.9337069
Kan Yang, Xueli Chu, Zhenchao Xu, Qingfang Chen, F. Wen
The new round of power industry restructuring has brought new challenges to power grid companies, prompting them to further improve power grid investment. In order to fully employ data resources in power grid investment decisions, it is necessary to comprehensively use data mining and monitoring technologies so as to realize dynamic supervision of power grid investment decisions and improve investment efficiency. In this context, this paper summarizes the research results of each key link involved in the establishment of a power network investment optimization system based on data monitoring technology, summarizes the use and deficiencies of the existing research results, and proposes research suggestions for the next step of building the power grid investment optimization system based on data monitoring technology.
{"title":"Data Monitoring based Power Network Investment Optimization and Empirical Research: Survey and Prospect","authors":"Kan Yang, Xueli Chu, Zhenchao Xu, Qingfang Chen, F. Wen","doi":"10.1109/SMART50582.2020.9337069","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337069","url":null,"abstract":"The new round of power industry restructuring has brought new challenges to power grid companies, prompting them to further improve power grid investment. In order to fully employ data resources in power grid investment decisions, it is necessary to comprehensively use data mining and monitoring technologies so as to realize dynamic supervision of power grid investment decisions and improve investment efficiency. In this context, this paper summarizes the research results of each key link involved in the establishment of a power network investment optimization system based on data monitoring technology, summarizes the use and deficiencies of the existing research results, and proposes research suggestions for the next step of building the power grid investment optimization system based on data monitoring technology.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"27 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":"127642076","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/SMART50582.2020.9337083
P. Goswami, G. Goswami
Wireless communication explores new era of ease of information exchange through human-machine and machine-machine interaction to deal various real time applications. This has created a great spectrum scarcity to deal high bandwidth smart applications. The cognitive radio is an advance approach to manage spectrum congestion through dynamic spectrum access (DSA). The unlicensed secondary users are being allowed to access unutilized spectrum of primary licensed users through opportunistic scan. This elicits the need of an UWB antenna for wireless sensor networks to explore every possible vacant channel opportunity during scan. A novel UWB antenna is proposed here for wireless cognitive radio sensor network (WCRSN) to scan maximum RF spectrum as per FCC standard. Antenna offers matched impedance bandwidth for wide spectrum range from 3.3-11.5 GHz with sustainable 4.0 dBi high gain and bidirectional radiating properties for the entire frequency sweep.
{"title":"Wideband Sensing Antenna for Smart Cognitive Radio Applications","authors":"P. Goswami, G. Goswami","doi":"10.1109/SMART50582.2020.9337083","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337083","url":null,"abstract":"Wireless communication explores new era of ease of information exchange through human-machine and machine-machine interaction to deal various real time applications. This has created a great spectrum scarcity to deal high bandwidth smart applications. The cognitive radio is an advance approach to manage spectrum congestion through dynamic spectrum access (DSA). The unlicensed secondary users are being allowed to access unutilized spectrum of primary licensed users through opportunistic scan. This elicits the need of an UWB antenna for wireless sensor networks to explore every possible vacant channel opportunity during scan. A novel UWB antenna is proposed here for wireless cognitive radio sensor network (WCRSN) to scan maximum RF spectrum as per FCC standard. Antenna offers matched impedance bandwidth for wide spectrum range from 3.3-11.5 GHz with sustainable 4.0 dBi high gain and bidirectional radiating properties for the entire frequency sweep.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"21 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":"125666779","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/SMART50582.2020.9337070
A. Chaturvedi, Praveen Sengar, Kalpana Sharma
Innovative and useful cloud based applications are increasing regularly as its demand also growing. The computing load, either processing or data load, on such application has been increased in multiples during the covid-19 pandemic, because everyone likes to do its jobs through online solutions either for meeting, teaching-learning, presentation, discussion, social data sharing, etc. as these are safe and secure solutions for all. This all increases the computing load proportionally the requirement of resources on the cloud server or Host machine. The host machine is the physical machine that contains the computing resources like storage, processors, bandwidth etc. for cloud based applications. These computing resources are shared and managed between multiple virtual machines in such an efficient manner that if computing load increases very much on some applications, while at the same time on the same server other application's resource utilization in underuse, then these resources will be shared to the applications currently having overloaded with the processing load. As cloud computing provides a pay-per-use model and hence if the resources utilization is managed efficiently and effectively the processing cost incurred to the client or provider will be more cost effective. So, in this paper we will measure the effectiveness of scheduling interval against increasing VM load on rapid elasticity for the existing cloud infrastructure available on the Host Machine.
{"title":"Measuring Effective Scheduling Interval Against VM Load with Rapid Elasticity in Cloud Computing","authors":"A. Chaturvedi, Praveen Sengar, Kalpana Sharma","doi":"10.1109/SMART50582.2020.9337070","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337070","url":null,"abstract":"Innovative and useful cloud based applications are increasing regularly as its demand also growing. The computing load, either processing or data load, on such application has been increased in multiples during the covid-19 pandemic, because everyone likes to do its jobs through online solutions either for meeting, teaching-learning, presentation, discussion, social data sharing, etc. as these are safe and secure solutions for all. This all increases the computing load proportionally the requirement of resources on the cloud server or Host machine. The host machine is the physical machine that contains the computing resources like storage, processors, bandwidth etc. for cloud based applications. These computing resources are shared and managed between multiple virtual machines in such an efficient manner that if computing load increases very much on some applications, while at the same time on the same server other application's resource utilization in underuse, then these resources will be shared to the applications currently having overloaded with the processing load. As cloud computing provides a pay-per-use model and hence if the resources utilization is managed efficiently and effectively the processing cost incurred to the client or provider will be more cost effective. So, in this paper we will measure the effectiveness of scheduling interval against increasing VM load on rapid elasticity for the existing cloud infrastructure available on the Host Machine.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"9 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":"128199200","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/SMART50582.2020.9337085
M. Jagtap, R. Tripathi, Jawalkar Dinesh Kumar
Depth distortion in an image yields some geometric errors which leads certain image quality degradation. Therefore, it is important to enhance the depth information in the left as well as right stereo images and achieve them in a substantial way. The Disparity Map Acquisition (DMA) algorithm gives rise to the depth distortion with improved disparity matrix. In this paper, we emphasis on depth score enhancement in 3D stereo images retargeting to accomplish the acceptable 3D images with improved depth distortion score. The experimental results show the stereo seam carving which deconsideres the unwanted image patches in order to generate an acceptable 3D stereo images. The obtained 3D stereo images are widely used in the applications of 3D animated movies by abolishing the blurriness in the stereo images and generate the images where the users can relish with the better visual effects. This may lead to the non-usability of 3D sterilize googles and eventually helps and reduces the burden on Indian economy.
{"title":"Depth Distortion Score Estimation in 3-D Image Retargeting using Disparity Map","authors":"M. Jagtap, R. Tripathi, Jawalkar Dinesh Kumar","doi":"10.1109/SMART50582.2020.9337085","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337085","url":null,"abstract":"Depth distortion in an image yields some geometric errors which leads certain image quality degradation. Therefore, it is important to enhance the depth information in the left as well as right stereo images and achieve them in a substantial way. The Disparity Map Acquisition (DMA) algorithm gives rise to the depth distortion with improved disparity matrix. In this paper, we emphasis on depth score enhancement in 3D stereo images retargeting to accomplish the acceptable 3D images with improved depth distortion score. The experimental results show the stereo seam carving which deconsideres the unwanted image patches in order to generate an acceptable 3D stereo images. The obtained 3D stereo images are widely used in the applications of 3D animated movies by abolishing the blurriness in the stereo images and generate the images where the users can relish with the better visual effects. This may lead to the non-usability of 3D sterilize googles and eventually helps and reduces the burden on Indian economy.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"6 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":"133530304","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/SMART50582.2020.9337135
N. Krishna, R. Priyakanth, Mahesh Babu Katta, R. Abburi
Soil Health is important for plant growth and the productivity of farming. There is an important need to determine NPK i.e., Nitrogen, Phosphorus, and Potassium (macro-nutrients), soil moisture, electrical conductivity, and pH value to determine soil health. Measurement of nutrient contents of soil is necessary to decide the need for adding an additional amount of such nutrients to increase soil fertility. This improves the quality of the soil and hence yields a good quality crop. Such soil health card information needs to be dynamic and is very important to monitor for every crop season. This work quantifies the soil nutrient values in the soil sample and maps the data using the Global Positioning System (GPS) to the specific location from where the sample has been collected. This process dynamically works and updates the soil health parameters every season. Besides, additional soil health parameters like pH, moisture content, and total dissolved solids (TDS) are also measured dynamically and mapped to the location. The mapping of the soil health to a location will help the farmer in deciding what crop to grow. This will help in increasing the yield of the crop and meet the increasing food demand.
{"title":"Soil Nutrient Survey and Google Map Cartography","authors":"N. Krishna, R. Priyakanth, Mahesh Babu Katta, R. Abburi","doi":"10.1109/SMART50582.2020.9337135","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337135","url":null,"abstract":"Soil Health is important for plant growth and the productivity of farming. There is an important need to determine NPK i.e., Nitrogen, Phosphorus, and Potassium (macro-nutrients), soil moisture, electrical conductivity, and pH value to determine soil health. Measurement of nutrient contents of soil is necessary to decide the need for adding an additional amount of such nutrients to increase soil fertility. This improves the quality of the soil and hence yields a good quality crop. Such soil health card information needs to be dynamic and is very important to monitor for every crop season. This work quantifies the soil nutrient values in the soil sample and maps the data using the Global Positioning System (GPS) to the specific location from where the sample has been collected. This process dynamically works and updates the soil health parameters every season. Besides, additional soil health parameters like pH, moisture content, and total dissolved solids (TDS) are also measured dynamically and mapped to the location. The mapping of the soil health to a location will help the farmer in deciding what crop to grow. This will help in increasing the yield of the crop and meet the increasing food demand.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"85 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":"133101027","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/SMART50582.2020.9336803
A. Yakovlev, I. Gushchin, A. Drobotov, I. Torubarov
The article discusses the main methods of manufacturing products by layer-by-layer polymer fusion using non-planar layers. Conclusions are drawn about the disadvantages of these approaches. A proprietary method of manufacturing products on a multi-axis FFF 3D printer is proposed.
{"title":"Study of the Multi-axis FFF 3D Printing Process","authors":"A. Yakovlev, I. Gushchin, A. Drobotov, I. Torubarov","doi":"10.1109/SMART50582.2020.9336803","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9336803","url":null,"abstract":"The article discusses the main methods of manufacturing products by layer-by-layer polymer fusion using non-planar layers. Conclusions are drawn about the disadvantages of these approaches. A proprietary method of manufacturing products on a multi-axis FFF 3D printer is proposed.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"381 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":"127234694","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}
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