Pub Date : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284923
Solomon Negussie Tesema, E. Bourennane
As much as an object detector should be accurate, it should be light and fast as well. However, current object detectors tend to be either inaccurate when lightweight or very slow and heavy when accurate. Accordingly, determining tolerable tradeoff between speed and accuracy of an object detector is not a simple task. One of the object detectors that have commendable balance of speed and accuracy is YOLOv2. YOLOv2 performs detection by dividing an input image into grids and training each grid cell to predict certain number of objects. In this paper we propose a new approach to even make YOLOv2 more fast and accurate. We re-purpose YOLOv2 into a dense object detector by using fine-grained grids, where a cell predicts only one object and its corresponding class and objectness confidence score. Our approach also trains the system to learn to pick a best fitting anchor box instead of the fixed anchor assignment during ground-truth annotation as used by YOLOv2. We will also introduce a new loss function to balance the overwhelming imbalance between the number of grids responsible of detecting an object and those that should not.
{"title":"DenseYOLO: Yet Faster, Lighter and More Accurate YOLO","authors":"Solomon Negussie Tesema, E. Bourennane","doi":"10.1109/IEMCON51383.2020.9284923","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284923","url":null,"abstract":"As much as an object detector should be accurate, it should be light and fast as well. However, current object detectors tend to be either inaccurate when lightweight or very slow and heavy when accurate. Accordingly, determining tolerable tradeoff between speed and accuracy of an object detector is not a simple task. One of the object detectors that have commendable balance of speed and accuracy is YOLOv2. YOLOv2 performs detection by dividing an input image into grids and training each grid cell to predict certain number of objects. In this paper we propose a new approach to even make YOLOv2 more fast and accurate. We re-purpose YOLOv2 into a dense object detector by using fine-grained grids, where a cell predicts only one object and its corresponding class and objectness confidence score. Our approach also trains the system to learn to pick a best fitting anchor box instead of the fixed anchor assignment during ground-truth annotation as used by YOLOv2. We will also introduce a new loss function to balance the overwhelming imbalance between the number of grids responsible of detecting an object and those that should not.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"57 1","pages":"0534-0539"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78270553","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284894
E. Ursini, Henry de Castro Lobo dos Santos, M. Okano
Due to pandemic Covid-19, which suddenly forced people to change their habits and stay in their homes for several weeks, the daily routines changed, people could no longer go to work or study, physical contact should be avoided, care with personal hygiene improved and all types of crowding avoided. This causes “home office” work to skyrocket and reach significant peaks. In this way, the demand for services related to Information and Communication Technology, ICT, has grown greatly. To manage the problems caused by the lack of resources needed to transport traffic on the network, SLA (Service Level Agreement) contracts are common, which the parties involved sign (the provider and the customer). Failure to comply with these contracts may result in a fine for the party that has not fulfilled it. This work proposes an approach to improve the dimensioning of Firewalls, in terms of their availability, to establish values as close as possible to the real ones so that there is neither an underestimation nor an overestimation of commitments agreed between the actors. In addition, this work proposes a way to approach this problem in a broader way, taking into account the Dependability, that is, Availability, Reliability and Maintainability.
{"title":"Improving the Availability of Firewalls with a View to Increasing ICT Consumption Due Covid-19","authors":"E. Ursini, Henry de Castro Lobo dos Santos, M. Okano","doi":"10.1109/IEMCON51383.2020.9284894","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284894","url":null,"abstract":"Due to pandemic Covid-19, which suddenly forced people to change their habits and stay in their homes for several weeks, the daily routines changed, people could no longer go to work or study, physical contact should be avoided, care with personal hygiene improved and all types of crowding avoided. This causes “home office” work to skyrocket and reach significant peaks. In this way, the demand for services related to Information and Communication Technology, ICT, has grown greatly. To manage the problems caused by the lack of resources needed to transport traffic on the network, SLA (Service Level Agreement) contracts are common, which the parties involved sign (the provider and the customer). Failure to comply with these contracts may result in a fine for the party that has not fulfilled it. This work proposes an approach to improve the dimensioning of Firewalls, in terms of their availability, to establish values as close as possible to the real ones so that there is neither an underestimation nor an overestimation of commitments agreed between the actors. In addition, this work proposes a way to approach this problem in a broader way, taking into account the Dependability, that is, Availability, Reliability and Maintainability.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"3 1","pages":"0647-0653"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81788126","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284936
Reetodeep Hazra, Megha Banerjee, L. Badia
Breast cancer is one of the commonest cause of cancer deaths in women. It starts developing when threatening bumps start forming from the breast cells, and unfortunately most diagnoses happen in later stages, thus resulting in low chances of survival for the patient. So for early detection and prognosis, it is necessary to detect the benign or threatening nature of the bumps. In this paper, Artificial Neural Networks (ANN) and Decision Tree (DT) classifiers are used to develop a machine learning (ML) model using the Wisconsin diagnostic breast cancer (WDBC) dataset, in order to evaluate the attributes of a breast cancer development at beginning phases and classify it as malignant or benign. In the proposed scheme, feature selection and feature extraction are done to extract statistical features from the dataset and comparison between the models is provided based on their performance to identify the most suitable approach for diagnosis. The dataset apportioned into various arrangements of train-test split. The presentation of the framework is estimated, depending on accuracy, sensitivity, specificity, precision, and recall. The binary classification problem achieved a maximum accuracy of 98.55%.
{"title":"Machine Learning for Breast Cancer Classification With ANN and Decision Tree","authors":"Reetodeep Hazra, Megha Banerjee, L. Badia","doi":"10.1109/IEMCON51383.2020.9284936","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284936","url":null,"abstract":"Breast cancer is one of the commonest cause of cancer deaths in women. It starts developing when threatening bumps start forming from the breast cells, and unfortunately most diagnoses happen in later stages, thus resulting in low chances of survival for the patient. So for early detection and prognosis, it is necessary to detect the benign or threatening nature of the bumps. In this paper, Artificial Neural Networks (ANN) and Decision Tree (DT) classifiers are used to develop a machine learning (ML) model using the Wisconsin diagnostic breast cancer (WDBC) dataset, in order to evaluate the attributes of a breast cancer development at beginning phases and classify it as malignant or benign. In the proposed scheme, feature selection and feature extraction are done to extract statistical features from the dataset and comparison between the models is provided based on their performance to identify the most suitable approach for diagnosis. The dataset apportioned into various arrangements of train-test split. The presentation of the framework is estimated, depending on accuracy, sensitivity, specificity, precision, and recall. The binary classification problem achieved a maximum accuracy of 98.55%.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"23 1","pages":"0522-0527"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83068999","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284863
Chaudhry Bilal Muzaffar, M. Iqbal
Solar energy is the cleanest and most developed form of renewable energy. In order to be completely independent of the grid source we need to have off grid solar system. In this paper we have designed an off grid DC solar system using homer pro. We have used 8 batteries, 36 PV modules to make a DC system that would be sufficient enough to provide the requirement of home with load of 7.81 kWh/day. Steady state as well as dynamic system modelling is included in the paper. Presented results will help further in the design of small scaled off grid solar systems. Designed off-grid system will be independent of the national grid for the power supply and will lead to indigenousness.
{"title":"Design and Analysis of Off Grid Solar System for DC Load of a House in Pakistan","authors":"Chaudhry Bilal Muzaffar, M. Iqbal","doi":"10.1109/IEMCON51383.2020.9284863","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284863","url":null,"abstract":"Solar energy is the cleanest and most developed form of renewable energy. In order to be completely independent of the grid source we need to have off grid solar system. In this paper we have designed an off grid DC solar system using homer pro. We have used 8 batteries, 36 PV modules to make a DC system that would be sufficient enough to provide the requirement of home with load of 7.81 kWh/day. Steady state as well as dynamic system modelling is included in the paper. Presented results will help further in the design of small scaled off grid solar systems. Designed off-grid system will be independent of the national grid for the power supply and will lead to indigenousness.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"15 1","pages":"0804-0807"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91277792","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284932
M. W. Baidas
This paper considers the problem of offloading-efficiency maximization for a mobile edge computing (MEC) nonorthogonal multiple-access (NOMA) network with user clusters. The goal is to maximize network offloading-efficiency via joint power allocation, and computing resource allocation (J-PA-CRA), under the partial offloading mode, and subject to delay and transmit power constraints. However, the formulated problem happens to be non-convex, and thus is computationally-prohibitive. In turn, a low-complexity solution procedure is proposed, which optimally solves problem J-PA-CRA via successive convex approximation. Simulation results are provided to validate the proposed solution procedure, illustrating that it yields the optimal network offloading-efficiency, in comparison to the J-PA-CRA scheme (solved via a global optimization package), and superior to its OMA counterpart schemes (e.g. FDMA and TDMA).
{"title":"Offloading-Efficiency Maximization for Mobile Edge Computing in Clustered NOMA Networks","authors":"M. W. Baidas","doi":"10.1109/IEMCON51383.2020.9284932","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284932","url":null,"abstract":"This paper considers the problem of offloading-efficiency maximization for a mobile edge computing (MEC) nonorthogonal multiple-access (NOMA) network with user clusters. The goal is to maximize network offloading-efficiency via joint power allocation, and computing resource allocation (J-PA-CRA), under the partial offloading mode, and subject to delay and transmit power constraints. However, the formulated problem happens to be non-convex, and thus is computationally-prohibitive. In turn, a low-complexity solution procedure is proposed, which optimally solves problem J-PA-CRA via successive convex approximation. Simulation results are provided to validate the proposed solution procedure, illustrating that it yields the optimal network offloading-efficiency, in comparison to the J-PA-CRA scheme (solved via a global optimization package), and superior to its OMA counterpart schemes (e.g. FDMA and TDMA).","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"70 1","pages":"0101-0107"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83755324","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284841
Marcos Gutierrez-Lopez, Andy Montalvo-Fernández, J. Padilla-Medina, F. Pérez-Pinal, A. Barranco-Gutiérrez
The FPGA is the robust platform to implement fast and complex circuits in the industry. Also, nowadays, Arduino microcontroller is very used because has typical preloaded functions that facilities its use. Intuitively it is known that FPGA is faster due its parallelization possibilities. The purpose of this work is to show in a quantitative way, the difference in performance between Arduino UNO and FPGA Xilinx Spartan 3E 100 CP132 when they are used as embedded Fuzzy system. This may bring arguments to decide whether to use one or another platform for this kind of applications. This paper presents a fuzzy system implementation of a Mamdani type to infer the tip given to a restaurant, where it was measured the time spent in implementing and executing; then the results were compared. These last, offered a minimal numeric difference between systems but highlighted the difference in programming time and processing time.
FPGA是实现快速复杂电路的可靠平台。此外，如今Arduino微控制器非常常用，因为它具有典型的预加载功能，便于其使用。直观地说，FPGA由于其并行化的可能性而更快。本工作的目的是以定量的方式展示Arduino UNO和FPGA Xilinx Spartan 3E 100 CP132作为嵌入式模糊系统时的性能差异。这可能会引起争论，以决定是否使用一个或另一个平台的这类应用程序。本文提出了一个模糊系统实现的马姆达尼类型来推断给餐馆的小费，其中它是衡量在实施和执行所花费的时间;然后对结果进行比较。最后，提供了系统之间的最小数值差异，但突出了编程时间和处理时间的差异。
{"title":"A Mamdani fuzzy system implementation on Arduino UNO and FPGA","authors":"Marcos Gutierrez-Lopez, Andy Montalvo-Fernández, J. Padilla-Medina, F. Pérez-Pinal, A. Barranco-Gutiérrez","doi":"10.1109/IEMCON51383.2020.9284841","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284841","url":null,"abstract":"The FPGA is the robust platform to implement fast and complex circuits in the industry. Also, nowadays, Arduino microcontroller is very used because has typical preloaded functions that facilities its use. Intuitively it is known that FPGA is faster due its parallelization possibilities. The purpose of this work is to show in a quantitative way, the difference in performance between Arduino UNO and FPGA Xilinx Spartan 3E 100 CP132 when they are used as embedded Fuzzy system. This may bring arguments to decide whether to use one or another platform for this kind of applications. This paper presents a fuzzy system implementation of a Mamdani type to infer the tip given to a restaurant, where it was measured the time spent in implementing and executing; then the results were compared. These last, offered a minimal numeric difference between systems but highlighted the difference in programming time and processing time.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"21 1","pages":"0260-0266"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90228994","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284890
Shashank P. Kumar, A. Pundir
A supply chain is getting an advantage from the technology's lucidity, less transaction expenses, and real-time data applications. Internet of Things (IoT) and Blockchain technology (BT) has gain remarkable attention by academician and industrial practitioner in recent years as these pair is disrupting a lot of businesses now. BT enables transactional security while IoT connects the physical and digital world with apps and sensors. In this study, a systematic literature review (SLR) is performed to explore the application of integrated IoT-BT in the supply chain and its implementation challenges. The different technologies listed are grouped into the supply chain's five functional fields i.e., responsiveness, intelligence, deductive, surveillance and operational excellence. The result reveals that IoT-BT is mostly used for surveillance purposes and to achieve operational excellence.
{"title":"Integration of IoT and Blockchain Technology for Enhancing Supply Chain Performance: A Review","authors":"Shashank P. Kumar, A. Pundir","doi":"10.1109/IEMCON51383.2020.9284890","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284890","url":null,"abstract":"A supply chain is getting an advantage from the technology's lucidity, less transaction expenses, and real-time data applications. Internet of Things (IoT) and Blockchain technology (BT) has gain remarkable attention by academician and industrial practitioner in recent years as these pair is disrupting a lot of businesses now. BT enables transactional security while IoT connects the physical and digital world with apps and sensors. In this study, a systematic literature review (SLR) is performed to explore the application of integrated IoT-BT in the supply chain and its implementation challenges. The different technologies listed are grouped into the supply chain's five functional fields i.e., responsiveness, intelligence, deductive, surveillance and operational excellence. The result reveals that IoT-BT is mostly used for surveillance purposes and to achieve operational excellence.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"8 1","pages":"0396-0401"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89197229","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284866
B.T.N Perera, B. Jayarathne, T.G.G.M Dharmakeerthi, K.T.D.D.K Thanthilage, Y. Priyadarshana
21st century is far more advanced than the 20th century because of its new innovations along with the relevant technological mappings. Technology makes our day to day work easy. However, this has been led our simple life to be very complex. We have become really busy, money minded and most importantly we don't have time to spend with our families or thinking about ourselves. As Millennials form our childhood what we have experienced is the stress to be the best. The competition which has been generated around and among us cannot be handled; so, people have been depressed and this would let them even committing suicide. Therefore, a Learning Assistant for advanced level students, which has been named as “Shilpa”, would be a practical remedy and a companion to overcome such difficulties. Shilpa has been stepped forward to monitor students' stress levels and to help them understand their weak areas considering the curriculum of a particular subject. Once identifying a particularly weak area, Shilpa navigates the user to the summarized version of a weakly identified content of a lesson in which the user doesn't have to go through the entire course curriculum to improve his/her weak areas. The implemented system has been tested considering all the novel components, and an overall value of 0.81 has been experimented as per the precision. It can be concluded that this novel approach has achieved an overall 81% accuracy over the existing state-of-the-art baselines.
{"title":"Shilpa: A Novel Neural Based Approach for Measuring Human Stress Level","authors":"B.T.N Perera, B. Jayarathne, T.G.G.M Dharmakeerthi, K.T.D.D.K Thanthilage, Y. Priyadarshana","doi":"10.1109/IEMCON51383.2020.9284866","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284866","url":null,"abstract":"21st century is far more advanced than the 20th century because of its new innovations along with the relevant technological mappings. Technology makes our day to day work easy. However, this has been led our simple life to be very complex. We have become really busy, money minded and most importantly we don't have time to spend with our families or thinking about ourselves. As Millennials form our childhood what we have experienced is the stress to be the best. The competition which has been generated around and among us cannot be handled; so, people have been depressed and this would let them even committing suicide. Therefore, a Learning Assistant for advanced level students, which has been named as “Shilpa”, would be a practical remedy and a companion to overcome such difficulties. Shilpa has been stepped forward to monitor students' stress levels and to help them understand their weak areas considering the curriculum of a particular subject. Once identifying a particularly weak area, Shilpa navigates the user to the summarized version of a weakly identified content of a lesson in which the user doesn't have to go through the entire course curriculum to improve his/her weak areas. The implemented system has been tested considering all the novel components, and an overall value of 0.81 has been experimented as per the precision. It can be concluded that this novel approach has achieved an overall 81% accuracy over the existing state-of-the-art baselines.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"62 1","pages":"0308-0313"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83694809","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284886
Cyril Naves Samue, Glock Severine, Bercovitz David, F. Verdier, Guitton-Ouhamou Patricia
The automotive industry is evolving with connected, autonomous, and electric vehicles handling huge amounts of data exchanges between participants in its ecosystem. These data transactions should be certified and valid for the ecosystem to function in an efficient and trusted manner. To address the data integrity and provenance issues, we adopt blockchain technology. In this paper, we propose a consortium blockchain architecture to solve the popular use-case of odometer fraud in the automotive industry. We design the architecture from two approaches: a non-wallet and wallet-based vehicle data certification followed by its Qualitative and Quantitative evaluation.
{"title":"Automotive Data Certification Problem: A View on Effective Blockchain Architectural Solutions","authors":"Cyril Naves Samue, Glock Severine, Bercovitz David, F. Verdier, Guitton-Ouhamou Patricia","doi":"10.1109/IEMCON51383.2020.9284886","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284886","url":null,"abstract":"The automotive industry is evolving with connected, autonomous, and electric vehicles handling huge amounts of data exchanges between participants in its ecosystem. These data transactions should be certified and valid for the ecosystem to function in an efficient and trusted manner. To address the data integrity and provenance issues, we adopt blockchain technology. In this paper, we propose a consortium blockchain architecture to solve the popular use-case of odometer fraud in the automotive industry. We design the architecture from two approaches: a non-wallet and wallet-based vehicle data certification followed by its Qualitative and Quantitative evaluation.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"22 1","pages":"0167-0173"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85139799","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284950
B. Comar
This paper analyzes the performance of an LDPC code classification system that determines membership of code-words among 3 randomly generated binary LDPC codes. These codes all have the same codeword size and coderate. High classification accuracies are obtained with relatively small neural networks. The analysis presented here determines the accuracies of various look up tables and compares them to the performance of the neural networks.
{"title":"Analysis of CNN Based Schemes for LDPC Code Classification Using LUT Based Algorithms","authors":"B. Comar","doi":"10.1109/IEMCON51383.2020.9284950","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284950","url":null,"abstract":"This paper analyzes the performance of an LDPC code classification system that determines membership of code-words among 3 randomly generated binary LDPC codes. These codes all have the same codeword size and coderate. High classification accuracies are obtained with relatively small neural networks. The analysis presented here determines the accuracies of various look up tables and compares them to the performance of the neural networks.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"34 1","pages":"0492-0497"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86314543","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：