this research paper presents a novel direction of arrival (DOA) estimation technique that fuses multiple processing techniques to enhance accuracy while mitigating cost and space constraints. In order to reduce the sy...
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ISBN:
(纸本)9798350308266;9798350308259
this research paper presents a novel direction of arrival (DOA) estimation technique that fuses multiple processing techniques to enhance accuracy while mitigating cost and space constraints. In order to reduce the system cost owing to hardware, the number of antenna elements restricted to six. the antenna orientation especially designed in co-prime ratios of 2:5:3 to minimize ambiguity and to ensure that the DOA estimation is insensitive to the orientation of the platform, carrying the antennas. the proposed scheme fuses common angle search(CAS) technique, amplitude comparison and correlative interferometry with interpolation technique to address the limitations offered by each individual technique. the proposed scheme achieves nearly real-time DOA estimation with maximum RMSE around 1 degrees, field of view 40 degrees and maximum antenna separation around 200mm.
the necessity to move towards a more sustainable mobility calls also for more efficient high-performance vehicles, which still fulfill dynamic requirements, namely, fast accelerations and limited weight. this study ad...
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ISBN:
(纸本)9798350344455
the necessity to move towards a more sustainable mobility calls also for more efficient high-performance vehicles, which still fulfill dynamic requirements, namely, fast accelerations and limited weight. this study addresses the problem of series-hybrid powertrain mass minimization;the paper proposes sizing methodologies suitable to determine the combination of any number of primary storage systems (such as batteries and supercapacitors) that is optimal in terms of mass. the application of such methodologies indicates that it is possible to realize storage systems of about 33 kg and suitable to satisfy the power and energy requirements characterizing a representative mission profile, while achieving fuel savings in excess of 20% with respect to the ICE-only architecture.
In an automated machining environment, monitoring tool conditions is essential. In this study, experiments were conducted to classify tool conditions during high-speed machining of AISI4140. During the machining proce...
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the proceedings contain 3 papers. the topics discussed include: Sleptsov net based reliable embedded system design on microcontrollers and FPGAs;GPMAPPO: collaborative SAR optimization of human-UAV in post-disaster sc...
ISBN:
(纸本)9798331540524
the proceedings contain 3 papers. the topics discussed include: Sleptsov net based reliable embedded system design on microcontrollers and FPGAs;GPMAPPO: collaborative SAR optimization of human-UAV in post-disaster scenarios;and a soft-hard collaborative CNN inference acceleration system based on NP cores of DPU.
Developments in approximate stochastic computing (ASC) are promising for fast and low-power computing in edge devices based on SoC technology. ASC is anticipated to be useful in machine learning and image processing a...
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ISBN:
(纸本)9798350327038
Developments in approximate stochastic computing (ASC) are promising for fast and low-power computing in edge devices based on SoC technology. ASC is anticipated to be useful in machine learning and image processing applications where overall precision of computation can be lowered by truncation of low-order bits in bitstreams to achieve acceptable results just enough to meet the design constraints and performance requirements. In this paper, we propose a quantitative approach to evaluate the approximation error of stochastic computing circuits so the optimal compromise between precision and performance can be achieved.
Migrating from a legacy monolithic system to a microservice architecture is a complex and time-consuming process. Software engineers may strongly benefit from automated support to identify a high-cohesive and loose-co...
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ISBN:
(纸本)9798350397499
Migrating from a legacy monolithic system to a microservice architecture is a complex and time-consuming process. Software engineers may strongly benefit from automated support to identify a high-cohesive and loose-coupled set of microservices with proper granularity. the automated approach proposed in this paper extracts microservices by using graph clustering and combinatorial optimization to maximize cohesion and minimize coupling. the approach performs static analysis of the code to obtain a graph representation of the monolithic system. then, it uses graph clustering to detect high-cohesive communities of nodes using the Louvain community algorithm. In parallel, the tool clusters the domain entities (i.e., classes representing uniquely identifiable concepts in a system domain) within bounded contexts to identify the required service granularity. Finally, it uses combinatorial optimization to minimize the coupling, hence deriving the microservice architecture. the approach is fully implemented. We applied it over four different monolithic systems and found valuable results. We evaluated the identified architectures through cohesion and coupling metrics, along with a comparison with other state-of-the-art approaches based on features such as granularity level, number of produced services, and methods applied. the approach implementation and the experimental results are publicly available.
this present work focuses on the problem of estimating the largest region of attraction of nonlinear system with saturation. this nonlinear system can be put in the form of differential algebraic representation, as we...
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For reasons of climate protection requirements, future energy systems will have to comprise very high shares of variable Renewable Energy Sources (vRES). Yet, it is still unclear whether the necessary investments into...
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ISBN:
(纸本)9798350381757;9798350381740
For reasons of climate protection requirements, future energy systems will have to comprise very high shares of variable Renewable Energy Sources (vRES). Yet, it is still unclear whether the necessary investments into vRES will be able to sufficiently recover their costs - or whether well designed financial support instruments will be required for de-risking according decisions. this work presents a case study for Germany in order to assess future market-based cost recovery of vRES and the effects of different support schemes. Market performance indicators are applied to compare results of agent-based electricity market simulations of a scenario for different cases. the results regarding market-based cost recovery reveal a wide spectrum. We find cases where market-based cost recovery rates are not sufficient with an average of 70% for photovoltaic systems and nearly 90% for offshore wind. In other cases, recovery rates exceed the costs by far with more than 200% for onshore wind. these results disclose substantial sensitivities towards hydrogen prices as well as the endogeneitiy of flexibility representation. the analyzed support schemes contribute to full cost recovery in all cases investigated, thereby de-risking investments. As regards differences, we find most notably two-way Contracts for Differences (CfD) to increase renewable curtailment compared to one-way CfDs. Furthermore, our results reveal that instruments that do not distort dispatch lead to systematically higher wind offshore curtailments and, therefore, increase prices as well as market-based cost recovery
In this paper, a reaction-diffusion COVID-19 model is proposed to explore how vaccinationisolation strategies affect the development of the epidemic. First, the basic dynamical properties of the system are explored. T...
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In this paper, a reaction-diffusion COVID-19 model is proposed to explore how vaccinationisolation strategies affect the development of the epidemic. First, the basic dynamical properties of the system are explored. then, the system's asymptotic distributions of endemic equilibrium under different conditions are studied. Further, the global sensitivity analysis of R 0 is implemented withthe aim of determining the sensitivity for these parameters. In addition, the optimal vaccination-isolation strategy based on the optimal path is proposed. Meantime, social cost C(m, sigma ) , social benefit B (m, sigma ) , threshold R 0 (m, sigma ) three objective optimization problem based on vaccination-isolation strategy is explored, and the maximum social cost (MSC) and maximum social benefit (MSB ) are obtained. Finally, the instance prediction of the Lhasa epidemic in China on August 7, 2022, is made by using the piecewise infection rates beta 1 (t) , beta 2 (t) , and some key indicators are obtained as follows: (1) the basic reproduction numbers of each stage in Lhasa, China are R 0 (1 : 8) = 0 . 4678 , R 0 (9 : 20) = 2 . 7655 , R 0 (21 : 30) = 0 . 3810 and R 0 (31 : 100) = 0 . 7819;(2) the daily new cases of this epidemic will peak at 43 on the 20th day (August 26, 2022);(3) the cumulative cases in Lhasa, China will reach about 640 and be cleared about the 80th day (October 28, 2022). Our research will contribute to winning the war on epidemic prevention and control.
Nowadays, a lot of wearable healthcare devices are capable of measuring vital signs and transmitting the measurements wirelessly to user devices or remote servers for analysis. Health IoT (HIoT) systems are establishe...
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