Pub Date : 2023-06-06DOI: 10.1109/MECO58584.2023.10155105
Eugene O. Belyakin, Maria A. Markelova, M. Bogachev
Internet traffic intensity variations contain significant information on the access pattern dynamics. On the one hand, variability in access patterns is a direct manifestation of the end users' and IoT devices behavior. On the other hand, a better understanding of the access pattern dynamics provides essential information for an early redistribution of traffic, leading to potentially more efficient dynamic routing algorithms. Traffic in large networks is typically governed by a complex interplay of auto-and cross-correlation patterns that largely determine its non-stationary nature. Here we have considered two approaches to the identification of the traffic variation model. The first approach is parametric and focuses on fitting the parameters of Seasonal Auto Regressive Integrated Moving Average with exogenous factors (SARIMAX). The second approach is based on training of a recurrent neural network (RNN). Both approaches have been validated explicitly using traffic data records over several days of monitoring at the uplink of a local campus network.
{"title":"Forecasting of traffic variations from their preceding dynamics: Parametric vs non-parametric approaches","authors":"Eugene O. Belyakin, Maria A. Markelova, M. Bogachev","doi":"10.1109/MECO58584.2023.10155105","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155105","url":null,"abstract":"Internet traffic intensity variations contain significant information on the access pattern dynamics. On the one hand, variability in access patterns is a direct manifestation of the end users' and IoT devices behavior. On the other hand, a better understanding of the access pattern dynamics provides essential information for an early redistribution of traffic, leading to potentially more efficient dynamic routing algorithms. Traffic in large networks is typically governed by a complex interplay of auto-and cross-correlation patterns that largely determine its non-stationary nature. Here we have considered two approaches to the identification of the traffic variation model. The first approach is parametric and focuses on fitting the parameters of Seasonal Auto Regressive Integrated Moving Average with exogenous factors (SARIMAX). The second approach is based on training of a recurrent neural network (RNN). Both approaches have been validated explicitly using traffic data records over several days of monitoring at the uplink of a local campus network.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129362817","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 : 2023-06-06DOI: 10.1109/MECO58584.2023.10155050
Radmila Koleva, E. Zaev, D. Babunski, G. Rath, D. Ninevski
A prototype of a cheap IoT system for real-time monitoring of river water quality has been developed. The system consists of monitoring stations and appropriate presentation devices (computer, phone, or similar). Each monitoring station has a possibility for real-time measurement of 4 parameters: temperature, pH, turbidity, and dissolved oxygen. They are measured through probes submerged directly in the water. The probes are connected to the Raspberry Pi 3 model B, and through wi-fi communication, the measured data are transferred to the data storage cloud and then transferred to the visualization platform. The collected data in the IoT system is calculated and presented in real-time. Using real-time we can have instant information on the water quality and an alarm for possible contamination. Collected data on the remote server station can be used for deeper water quality analysis.
{"title":"IoT System for Real-Time Water Quality Measurement and Data Visualization","authors":"Radmila Koleva, E. Zaev, D. Babunski, G. Rath, D. Ninevski","doi":"10.1109/MECO58584.2023.10155050","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155050","url":null,"abstract":"A prototype of a cheap IoT system for real-time monitoring of river water quality has been developed. The system consists of monitoring stations and appropriate presentation devices (computer, phone, or similar). Each monitoring station has a possibility for real-time measurement of 4 parameters: temperature, pH, turbidity, and dissolved oxygen. They are measured through probes submerged directly in the water. The probes are connected to the Raspberry Pi 3 model B, and through wi-fi communication, the measured data are transferred to the data storage cloud and then transferred to the visualization platform. The collected data in the IoT system is calculated and presented in real-time. Using real-time we can have instant information on the water quality and an alarm for possible contamination. Collected data on the remote server station can be used for deeper water quality analysis.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126255470","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 : 2023-06-06DOI: 10.1109/MECO58584.2023.10154905
Maliha Tabassum, Nathan Puryear, M. Kuzlu, V. Jovanovic, S. Abdelwahed
With the increase of Internet of Things (IoT)-based platforms in different fields such as smart grids, cities, manufacturing, transportation, and healthcare, data collection and processing techniques have become more important, as their effectiveness impacts the performance of the overall system. In this paper, the IoT-based smart city platform, called OpenCyberCity, is evaluated in terms of scalability, reliability, and latency with millions of virtual IoT devices in a simulated environment. In order to improve the efficiency of these three parameters, the architecture suggests taking advantage of the MQTT protocol, Kafka data streaming, and Cassandra database, which are combined with a high-level program that is responsible for maintaining collaboration between them. According to the results, the proposed architecture can support at least one million IoT devices with 100% reliability for smart cities under the simulation environment.
{"title":"Performance Evaluation of A Cloud-based IoT Platform for Smart Cities: OpenCyberCity","authors":"Maliha Tabassum, Nathan Puryear, M. Kuzlu, V. Jovanovic, S. Abdelwahed","doi":"10.1109/MECO58584.2023.10154905","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10154905","url":null,"abstract":"With the increase of Internet of Things (IoT)-based platforms in different fields such as smart grids, cities, manufacturing, transportation, and healthcare, data collection and processing techniques have become more important, as their effectiveness impacts the performance of the overall system. In this paper, the IoT-based smart city platform, called OpenCyberCity, is evaluated in terms of scalability, reliability, and latency with millions of virtual IoT devices in a simulated environment. In order to improve the efficiency of these three parameters, the architecture suggests taking advantage of the MQTT protocol, Kafka data streaming, and Cassandra database, which are combined with a high-level program that is responsible for maintaining collaboration between them. According to the results, the proposed architecture can support at least one million IoT devices with 100% reliability for smart cities under the simulation environment.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124421751","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 : 2023-06-06DOI: 10.1109/MECO58584.2023.10155004
V. Ceperkovic, M. Prokin, D. Prokin
Automotive angle sensors with magnetoresistive (MR) technology are used for: steering angle, motor commutation, rotor and pedal positions, automotive wipers, brakes and air routing in ventilation systems. Self-calibration of MR sensors is performed by linear and harmonic compensation based on the angular speed of shafts measured by single buffered method.
{"title":"Single Buffered Angular Speed Measurement Method for Self-Calibration of Magnetoresistive Sensors","authors":"V. Ceperkovic, M. Prokin, D. Prokin","doi":"10.1109/MECO58584.2023.10155004","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155004","url":null,"abstract":"Automotive angle sensors with magnetoresistive (MR) technology are used for: steering angle, motor commutation, rotor and pedal positions, automotive wipers, brakes and air routing in ventilation systems. Self-calibration of MR sensors is performed by linear and harmonic compensation based on the angular speed of shafts measured by single buffered method.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128755361","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 : 2023-06-06DOI: 10.1109/MECO58584.2023.10154937
V. Volkov
The problem of forming a radar radiation pattern with a sparse linear antenna array is considered. Sparse structures based on the combination of homogeneous co-prime linear arrays are investigated. The method of forming virtual structures is explained. Using concrete examples, the shape and properties of the side lobes of the amplitude radiation pattern are investigated. The amplitude radiation patterns of two sparse arrays with the same number of physical elements and a conventional antenna with a phased array (FAR) are compared.
{"title":"Investigation of Characteristics of Sparse Antenna Systems","authors":"V. Volkov","doi":"10.1109/MECO58584.2023.10154937","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10154937","url":null,"abstract":"The problem of forming a radar radiation pattern with a sparse linear antenna array is considered. Sparse structures based on the combination of homogeneous co-prime linear arrays are investigated. The method of forming virtual structures is explained. Using concrete examples, the shape and properties of the side lobes of the amplitude radiation pattern are investigated. The amplitude radiation patterns of two sparse arrays with the same number of physical elements and a conventional antenna with a phased array (FAR) are compared.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132372724","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}
In recent years we have faced drastic climate change which have affected various areas of life but especially those of agronomy. The most critical factor for grape quality and quantity is climate changes. Sensing devices are helping different sectors, especially in agriculture, the data are transferred throw Internet protocols and the field is known as Internet of Things. The fact of collecting IoT sensor Data from SmartAgriculture and SmartCity sensors is known as “smart agriculture” which consists of activities such as monitoring of cultivation, identification of diseases, define the period of time for fertilization of agriculture products, etc. This paper presents a systematic literature review to identify main researches in this field and further developments. According to prior observation of published research conducted since 2018, we are focusing our research on studies that have been published in areas that are relevant to smart agriculture; data mining for smart agriculture; predictive algorithms for smart agriculture; predictive model of smart agriculture on IoT sensor data and smart agriculture and IoT technologies. The number of papers in this field is huge for this reason is very important to conduct a review to see current development and find key components for future works.
{"title":"A Prediction Model of Smart Agriculture Based on IoT Sensor Data: A Systematic Literature Review","authors":"Jakup Fondaj, Mentor Hamiti, Samedin Krrabaj, Jaumin Ajdari, Xhemal Zenuni","doi":"10.1109/MECO58584.2023.10154965","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10154965","url":null,"abstract":"In recent years we have faced drastic climate change which have affected various areas of life but especially those of agronomy. The most critical factor for grape quality and quantity is climate changes. Sensing devices are helping different sectors, especially in agriculture, the data are transferred throw Internet protocols and the field is known as Internet of Things. The fact of collecting IoT sensor Data from SmartAgriculture and SmartCity sensors is known as “smart agriculture” which consists of activities such as monitoring of cultivation, identification of diseases, define the period of time for fertilization of agriculture products, etc. This paper presents a systematic literature review to identify main researches in this field and further developments. According to prior observation of published research conducted since 2018, we are focusing our research on studies that have been published in areas that are relevant to smart agriculture; data mining for smart agriculture; predictive algorithms for smart agriculture; predictive model of smart agriculture on IoT sensor data and smart agriculture and IoT technologies. The number of papers in this field is huge for this reason is very important to conduct a review to see current development and find key components for future works.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"4 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133355897","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 : 2023-06-06DOI: 10.1109/MECO58584.2023.10155103
A. M. Gruzlikov
The paper considers the problem of minimizing the sum of completion times in a permutation flow-shop system. It is known that the problem under consideration cannot be approximated in polynomial within arbitrarily good precision (the problem belongs to the APX-hard class). The problem is common in some manufacturing environments and for information processing systems. The proposed approach is based on the concept of solvable class of systems, for which an optimal scheduling algorithm of polynomial complexity exists. The paper presents the results of a computational experiment using Taylard's tests for pipeline-type systems and for systems defined by an acyclic graph.
{"title":"Minimizing the Total Completion Time of Jobs for a Permutation Flow-Shop System","authors":"A. M. Gruzlikov","doi":"10.1109/MECO58584.2023.10155103","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155103","url":null,"abstract":"The paper considers the problem of minimizing the sum of completion times in a permutation flow-shop system. It is known that the problem under consideration cannot be approximated in polynomial within arbitrarily good precision (the problem belongs to the APX-hard class). The problem is common in some manufacturing environments and for information processing systems. The proposed approach is based on the concept of solvable class of systems, for which an optimal scheduling algorithm of polynomial complexity exists. The paper presents the results of a computational experiment using Taylard's tests for pipeline-type systems and for systems defined by an acyclic graph.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"57 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114002751","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 : 2023-06-06DOI: 10.1109/MECO58584.2023.10155099
Haris Muhović, Almedin Salkić, Emina Melic, Neira Džananović, M. Saric, D. Jokić, S. Lale
This paper presents the implementation of the Binary Search Algorithm (BSA) to determine the Maximum Power Point (MPP) of a photovoltaic (PV) system under variable weather conditions. Additionally, the conventional well-known Perturb and Observe (P&O) algorithm is also implemented to be compared with the binary search based Maximum Power Point Tracking (MPPT) algorithm. Both algorithms are implemented in real time in MATLAB/Simulink environment. The experimental study is performed using the two 260 W series connected PV modules, the buck converter, and Humusoft MF 634 card to enable real-time operation. The value of the duty cycle for the buck converter is being updated in each step moving the operation point closer to MPP. The obtained experimental results demonstrate that the binary search based MPPT algorithm is more efficient and accurate when compared to the P&O MPPT algorithm.
本文提出了在可变天气条件下确定光伏发电系统最大功率点(MPP)的二叉搜索算法(BSA)。此外，还实现了传统的Perturb and Observe (P&O)算法，并与基于二叉搜索的最大功率点跟踪(MPPT)算法进行了比较。两种算法均在MATLAB/Simulink环境下实时实现。实验研究采用两个260 W串联的光伏模块、降压变换器和Humusoft MF 634卡进行实时操作。降压转换器的占空比的值在每一步中都在更新，使工作点更接近MPP。实验结果表明，与P&O MPPT算法相比，基于二叉搜索的MPPT算法具有更高的效率和准确性。
{"title":"Binary Search based Maximum Power Point Tracking Algorithm for Photovoltaic System","authors":"Haris Muhović, Almedin Salkić, Emina Melic, Neira Džananović, M. Saric, D. Jokić, S. Lale","doi":"10.1109/MECO58584.2023.10155099","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155099","url":null,"abstract":"This paper presents the implementation of the Binary Search Algorithm (BSA) to determine the Maximum Power Point (MPP) of a photovoltaic (PV) system under variable weather conditions. Additionally, the conventional well-known Perturb and Observe (P&O) algorithm is also implemented to be compared with the binary search based Maximum Power Point Tracking (MPPT) algorithm. Both algorithms are implemented in real time in MATLAB/Simulink environment. The experimental study is performed using the two 260 W series connected PV modules, the buck converter, and Humusoft MF 634 card to enable real-time operation. The value of the duty cycle for the buck converter is being updated in each step moving the operation point closer to MPP. The obtained experimental results demonstrate that the binary search based MPPT algorithm is more efficient and accurate when compared to the P&O MPPT algorithm.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123968916","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 : 2023-06-06DOI: 10.1109/meco58584.2023.10154946
A. Alop
It is known that the cause of most accidents and incidents at sea is, to one degree or another, either directly or indirectly, the so-called human factor. During the last years, more and more people have started to look towards solutions that can significantly reduce or even eliminate the negative consequences of human characteristics; one such solution is believed to be the partial or complete replacement of humans on board with “smart” technologies, such as artificial intelligence (AI). Here, however, two questions arise: the first - will the complete exclusion of people from the game can bring the desired result and is it even possible? And the second - can “smart” machines make their own, specific, so-called machine errors, and should these machine errors be preferred to human errors, or can their consequences be as severe as those caused by humans? The author of the paper tries to discuss the raised questions, looking for answers, even in a preliminary and imperfect form.
{"title":"Fully Autonomous Ship - Will AI Make “Machine Errors” or Will They Human Errors in a New Form?","authors":"A. Alop","doi":"10.1109/meco58584.2023.10154946","DOIUrl":"https://doi.org/10.1109/meco58584.2023.10154946","url":null,"abstract":"It is known that the cause of most accidents and incidents at sea is, to one degree or another, either directly or indirectly, the so-called human factor. During the last years, more and more people have started to look towards solutions that can significantly reduce or even eliminate the negative consequences of human characteristics; one such solution is believed to be the partial or complete replacement of humans on board with “smart” technologies, such as artificial intelligence (AI). Here, however, two questions arise: the first - will the complete exclusion of people from the game can bring the desired result and is it even possible? And the second - can “smart” machines make their own, specific, so-called machine errors, and should these machine errors be preferred to human errors, or can their consequences be as severe as those caused by humans? The author of the paper tries to discuss the raised questions, looking for answers, even in a preliminary and imperfect form.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124216988","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 : 2023-06-06DOI: 10.1109/MECO58584.2023.10154995
M. Harker, G. Rath, John W. Handler
This paper presents a new numerical method for treating the problem of optimal control when there are hard bounds on the control variables (e.g., limit switches on a linear drive, current limits to motor input, etc.) and/or on the state/output variables (e.g., obstacle avoidance). This is accomplished by means of a new approach for discretizing the optimal control problem, while introducing regularization terms to reduce the solution space to smooth functions. Further, by introducing a consistent discretization of the state-space equations with arbitrary boundary conditions, the problem is cast as a problem of quadratic programming, whereby (hard) bounds can be put on any of the state-space variables (i.e., input or output). The method is demonstrated on the example of a pendulum on a cart. Bounded optimal control solutions are computed for two examples: Velocity bounds are placed on the cart in the classic optimal control problem; a variation of trajectory tracking where instead of specifying a single valued path, the bounds of the trajectory of the pendulum bob are specified, and the required input to keep the bob within these bounds during its motion is computed.
{"title":"Optimal Control of State-Space Systems with Hard Bounds on Control Inputs and State Variables","authors":"M. Harker, G. Rath, John W. Handler","doi":"10.1109/MECO58584.2023.10154995","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10154995","url":null,"abstract":"This paper presents a new numerical method for treating the problem of optimal control when there are hard bounds on the control variables (e.g., limit switches on a linear drive, current limits to motor input, etc.) and/or on the state/output variables (e.g., obstacle avoidance). This is accomplished by means of a new approach for discretizing the optimal control problem, while introducing regularization terms to reduce the solution space to smooth functions. Further, by introducing a consistent discretization of the state-space equations with arbitrary boundary conditions, the problem is cast as a problem of quadratic programming, whereby (hard) bounds can be put on any of the state-space variables (i.e., input or output). The method is demonstrated on the example of a pendulum on a cart. Bounded optimal control solutions are computed for two examples: Velocity bounds are placed on the cart in the classic optimal control problem; a variation of trajectory tracking where instead of specifying a single valued path, the bounds of the trajectory of the pendulum bob are specified, and the required input to keep the bob within these bounds during its motion is computed.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116836074","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：