Pub Date : 2019-09-01DOI: 10.1109/SYNASC49474.2019.00044
Pooyan Jamshidi, D. Garlan
In this paper, we analyze the feasibility of the implementation of an investment system that implements privately-owned energy generation technology from renewable sources, by matching investor resources, private professional installers and owners of real-estate. In this paper, we postulate that a mechanism can be defined in such a manner that the stakeholders can receive a fair amount of profit. We analyze the options of renewable power generation installations in urban areas concluding that solar-wind arrays are most suited. We describe a mathematical model and algorithmic mechanism designed to match stakeholders with each other in profitable transaction circles. In the second part of the paper, we draw conclusions based on mathematical analysis. Our mechanism is entitled 3CF(the 3-tier crowd financing system) and it is meant to distribute risk between the stakeholder agents without human supervision or active enforcement. At the end of the paper, we present a practical study case for Craiova, Romania, a temperate climate city from Eastern Europe. The conclusion of the paper is that the system reaches an automated fair distribution of profit to all agents while presenting financial interest to the owner of the property.
{"title":"Feasibility of an Agent-Based Investment Platform for Renewable Energy Source Implementation","authors":"Pooyan Jamshidi, D. Garlan","doi":"10.1109/SYNASC49474.2019.00044","DOIUrl":"https://doi.org/10.1109/SYNASC49474.2019.00044","url":null,"abstract":"In this paper, we analyze the feasibility of the implementation of an investment system that implements privately-owned energy generation technology from renewable sources, by matching investor resources, private professional installers and owners of real-estate. In this paper, we postulate that a mechanism can be defined in such a manner that the stakeholders can receive a fair amount of profit. We analyze the options of renewable power generation installations in urban areas concluding that solar-wind arrays are most suited. We describe a mathematical model and algorithmic mechanism designed to match stakeholders with each other in profitable transaction circles. In the second part of the paper, we draw conclusions based on mathematical analysis. Our mechanism is entitled 3CF(the 3-tier crowd financing system) and it is meant to distribute risk between the stakeholder agents without human supervision or active enforcement. At the end of the paper, we present a practical study case for Craiova, Romania, a temperate climate city from Eastern Europe. The conclusion of the paper is that the system reaches an automated fair distribution of profit to all agents while presenting financial interest to the owner of the property.","PeriodicalId":102054,"journal":{"name":"2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134380527","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 : 2019-09-01DOI: 10.1109/synasc49474.2019.00002
{"title":"[Title page iii]","authors":"","doi":"10.1109/synasc49474.2019.00002","DOIUrl":"https://doi.org/10.1109/synasc49474.2019.00002","url":null,"abstract":"","PeriodicalId":102054,"journal":{"name":"2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115411187","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 : 2019-09-01DOI: 10.1109/SYNASC49474.2019.00038
Marius E. Penteliuc, M. Frîncu
Predicting cloud movement and dynamics is an important aspect in several areas, including prediction of solar energy generation. Knowing where a cloud will be or how it evolves over a given geographical area can help energy providers to better estimate their production levels. In this paper we propose a novel approach to predicting cloud movement based on satellite imagery. It combines techniques of generating motion vectors from sequential images with neural networks. First, the images are masked to isolate cloud pixels, then Farneback's version of the Optical Flow algorithm is used to detect motion from one image to the next and generate motion vector flow for each pair of images. After that, a feed forward back propagation neural network is trained with the vector data derived from the dataset imagery. Different parameters for the duration of the training, size of the input, and the neighborhood radius of one point in the scene are used. Promising results are presented and discussed to weight the potential of the proposed algorithm for forecasting cloud cover and cloud position in a scene.
{"title":"Prediction of Cloud Movement from Satellite Images Using Neural Networks","authors":"Marius E. Penteliuc, M. Frîncu","doi":"10.1109/SYNASC49474.2019.00038","DOIUrl":"https://doi.org/10.1109/SYNASC49474.2019.00038","url":null,"abstract":"Predicting cloud movement and dynamics is an important aspect in several areas, including prediction of solar energy generation. Knowing where a cloud will be or how it evolves over a given geographical area can help energy providers to better estimate their production levels. In this paper we propose a novel approach to predicting cloud movement based on satellite imagery. It combines techniques of generating motion vectors from sequential images with neural networks. First, the images are masked to isolate cloud pixels, then Farneback's version of the Optical Flow algorithm is used to detect motion from one image to the next and generate motion vector flow for each pair of images. After that, a feed forward back propagation neural network is trained with the vector data derived from the dataset imagery. Different parameters for the duration of the training, size of the input, and the neighborhood radius of one point in the scene are used. Promising results are presented and discussed to weight the potential of the proposed algorithm for forecasting cloud cover and cloud position in a scene.","PeriodicalId":102054,"journal":{"name":"2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132385372","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 : 2019-09-01DOI: 10.1109/SYNASC49474.2019.00042
Alexandru Gabriel Bucevschi, Gheorghe Balan, Dumitru-Bogdan Prelipcean
The cyber-threat detection problem is a complex one due to the large diversity of attacks, increasing number of prevalent samples and to the arms race between attackers and security researchers. A new class of attacks which appeared in the past years is modifying its spreading and action methods in order to become non-persistent. Being non-persistent, the usual detection and analysis methods which are file oriented, do not work anymore. Therefore, several solutions became available like memory introspection, process activity monitoring or application enforcement. However, these solutions are time consuming, therefore their usage impose some additional resources needs. In this paper we discuss an entry-level anomaly detection method of the command lines arguments which are passed to the most known system tools generally available in Windows and not only. Some of these tools are used for years in companies to automatize tasks, but only in the recent period they became a powerful tool for the attackers. The method is based on a derived version of Perceptron and consists in feature extraction and building a machine learning model.
{"title":"Preventing File-Less Attacks with Machine Learning Techniques","authors":"Alexandru Gabriel Bucevschi, Gheorghe Balan, Dumitru-Bogdan Prelipcean","doi":"10.1109/SYNASC49474.2019.00042","DOIUrl":"https://doi.org/10.1109/SYNASC49474.2019.00042","url":null,"abstract":"The cyber-threat detection problem is a complex one due to the large diversity of attacks, increasing number of prevalent samples and to the arms race between attackers and security researchers. A new class of attacks which appeared in the past years is modifying its spreading and action methods in order to become non-persistent. Being non-persistent, the usual detection and analysis methods which are file oriented, do not work anymore. Therefore, several solutions became available like memory introspection, process activity monitoring or application enforcement. However, these solutions are time consuming, therefore their usage impose some additional resources needs. In this paper we discuss an entry-level anomaly detection method of the command lines arguments which are passed to the most known system tools generally available in Windows and not only. Some of these tools are used for years in companies to automatize tasks, but only in the recent period they became a powerful tool for the attackers. The method is based on a derived version of Perceptron and consists in feature extraction and building a machine learning model.","PeriodicalId":102054,"journal":{"name":"2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124379773","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 : 2019-09-01DOI: 10.1109/SYNASC49474.2019.00018
A. Balint, S. Balint
In this paper six theoretical results, concerning the static stability and existence of a capillary free surface in a dewetted Bridgman crystal growth process, are presented. The results are obtained in an axis symmetric 2D model for semiconductors for which the wetting angle and the growth angle sum is greater than 180 degree. Numerical illustration is given in case of GaSb semiconductor when O2 is introduced in the ampule for increase the apparent wetting angle. The reported results can help, the practical crystal growers, in better understanding the dependence of the free surface shape and size on the pressure difference across the free surface and prepare the appropriate seed size, and thermal conditions before seeding the growth process.
{"title":"Existence and Static Stability of a Capillary Free Surface Appearing in a Dewetted Bridgman Process II","authors":"A. Balint, S. Balint","doi":"10.1109/SYNASC49474.2019.00018","DOIUrl":"https://doi.org/10.1109/SYNASC49474.2019.00018","url":null,"abstract":"In this paper six theoretical results, concerning the static stability and existence of a capillary free surface in a dewetted Bridgman crystal growth process, are presented. The results are obtained in an axis symmetric 2D model for semiconductors for which the wetting angle and the growth angle sum is greater than 180 degree. Numerical illustration is given in case of GaSb semiconductor when O2 is introduced in the ampule for increase the apparent wetting angle. The reported results can help, the practical crystal growers, in better understanding the dependence of the free surface shape and size on the pressure difference across the free surface and prepare the appropriate seed size, and thermal conditions before seeding the growth process.","PeriodicalId":102054,"journal":{"name":"2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116773416","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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