this paper presents the performance analysis and the most significant design decisions taken to improve the runtime performance of a quality-diversity volume rendering framework, focusing on using parallel and distrib...
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ISBN:
(数字)9798350364293
ISBN:
(纸本)9798350364309
this paper presents the performance analysis and the most significant design decisions taken to improve the runtime performance of a quality-diversity volume rendering framework, focusing on using parallel and distributed computing to optimize specific stages within the framework pipeline. After considering the benefits and trade-offs of several aspects like minimization of execution time, portability and hardware independence, we developed a hybrid CPU-GPU parallel computing model that increased the overall efficiency. Using this model, we achieved significant improvement in runtime speed for critical components of the framework compared to the sequential implementation. Additionally, this model can be applied in a wide range of scenarios, where the performance improvements provided by GPU processing can be complemented by CPU parallelization, with better runtime results.
this paper merges the advantages of data-driven control and sliding mode control in terms of applying and modifying two combinations of model-free adaptive control and sliding mode control suggested by Ebrahimi et al....
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this paper presents a novel approach to compensate periodic perturbations that occur in a vast variety of production processes. Typically, these perturbations interrupt the steady-state motion of mechanical systems, r...
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Recent advancements in artificial intelligence have led to significant results in various domains, including image classification, natural language processing, and mastering complex games. However, current deep neural...
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ISBN:
(数字)9798350364293
ISBN:
(纸本)9798350364309
Recent advancements in artificial intelligence have led to significant results in various domains, including image classification, natural language processing, and mastering complex games. However, current deep neural networks seem to process information differently from humans. Neuro-symbolic methods may offer a promising solution to address this concern. this paper proposes a preliminary cognitive architecture focused on neural cell assemblies, which can combine the adaptability of neural approaches withthe explicit reasoning capabilities of symbolic systems. It presents a case study on learning to count, and highlights mechanisms for learning, generalization, and adaptation based on predictive errors.
In recent years, multi-core processors are becoming more and more common in embedded systems, offering higher performance than single-core processors and thereby enabling both computationally intensive embedded applic...
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ISBN:
(数字)9781665453448
ISBN:
(纸本)9781665453448
In recent years, multi-core processors are becoming more and more common in embedded systems, offering higher performance than single-core processors and thereby enabling both computationally intensive embedded applications as well as the space-, weight-, and energy-efficient integration of software components. However, real-time applications, for which meeting certain deadlines must be guaranteed, do not profit as much from this transition. this is mainly due to interference between the processing cores of commercial-off-the-shelf multi-core processors at shared resources, hampering the predictability of task execution times. An effective approach to avoid this is running the critical tasks exclusively on one core while pausing execution on all other cores. this, however, reduces the overall system efficiency since parallel execution potential remains unused. In this work we present a novel approach to managing shared and exclusive execution in such systems. By on-line observation of the critical task progress via the on-chip trace infrastructure, we reduce the time of exclusive execution when it is safely possible and thereby increase the overall system efficiency. Using trace information allows for early detection of parallelization potential and does not require modifications to the critical application, which helps avoiding re-certification of the critical application. We present an implementation on a heterogeneous multi-processor system-on-chip using a state-of-the-art hypervisor for critical systems and evaluate its performance. Our results indicate that a performance gain of 37 % to 41 % over approaches focused on exclusive execution can be reached in low-interference situations.
this paper establishes an optimization model for carbon reduction operation of power systems with renewable energy under the coordinated configuration of generators with traditional and new energy. Using duality theor...
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the purpose of the Internet of things is to gain momentum in all fields and to link devices equipped with sensors, processing power, software, and other technologies that can communicate and share data with other hard...
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this work tackles the relative orbital control problem and presents the development of an H∞ controller in terms of the Riccati algebraic matrix equations. the nonlinear Tschauner-Hempel equations associated with ren...
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this paper presents a new Simultaneous Localisation And Mapping (SLAM) method which takes into account all measurements provided by a 2D LiDAR sensor and generates a Constraint Satisfaction Problem (CSP). Interval met...
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ISBN:
(数字)9781665467469
ISBN:
(纸本)9781665467469
this paper presents a new Simultaneous Localisation And Mapping (SLAM) method which takes into account all measurements provided by a 2D LiDAR sensor and generates a Constraint Satisfaction Problem (CSP). Interval methods are used to solve the CSP in a guaranteed way. the approach proposed in this paper does not make any assumptions about the probability distribution of the measurements and does not require any probabilistic methods for feature detection. the SLAM problem is solved in a guaranteed way by purely using only interval methods.
Cardiovascular diseases are the cause of increased mortality in all countries of the world, which explains the deepening of their study and the search for additional means of analyzing cardiac data. the article presen...
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ISBN:
(数字)9798350364293
ISBN:
(纸本)9798350364309
Cardiovascular diseases are the cause of increased mortality in all countries of the world, which explains the deepening of their study and the search for additional means of analyzing cardiac data. the article presents mathematically based methods for the processing and analysis of cardio data that are recorded during the normal life of people. the results of linear (in the time and frequency domain) and non-linear procedures (Poincarè method) as well as graphical methods (Power Spectral Density) for determining heart rate variability in healthy and heart diseased individuals are shown. A statistical analysis was applied to determine the significance of the obtained results when comparing the indicators of the two studied data sets.
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