The Experts below are selected from a list of 159738 Experts worldwide ranked by ideXlab platform
Radu Stoleru - One of the best experts on this subject based on the ideXlab platform.
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MASS - On Modeling the Coexistence of WiFi and Wireless Sensor Networks
2013 IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, 2013Co-Authors: Wei Zhang, Mahima Agumbe Suresh, Radu StoleruAbstract:The explosion in the number of WiFi and Wireless Sensor Network (WSN) deployments is exacerbating the coexistence problem, observed and reported in the literature as a significant performance degradation in co-located networks employing the two different wireless standards. The wireless coexistence problem has, thus far, been studied primarily using Real Hardware, due to the lack of analytical results and lack of good wireless coexistence models in network simulators. Thus, the progress on addressing the wireless coexistence issues has been slow. This paper presents the first analytical model and the first protocol coexistence simulator for coexisting WiFi and WSNs. We derive analytically, using Markov chains, the normalized saturated throughput of coexisting WiFi and WSNs, simulate the protocol coexistence using Monte Carlo methods, and validate our results through extensive experiments on Real Hardware (~4 million and ~60 million WSN and WiFi packets, respectively). These tools can be used for convenient and accurate performance estimation of medium-large scale deployments.
Juan José Serrano - One of the best experts on this subject based on the ideXlab platform.
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A proposal for modeling Real Hardware, weather and marine conditions for underwater sensor networks
Sensors (Switzerland), 2013Co-Authors: Salvador Climent, Angel Perles, Sara Blanc, Juan Vicente Capella, Juan José SerranoAbstract:Network simulators are useful for researching protocol performance, appraising new Hardware capabilities and evaluating Real application scenarios. However, these tasks can only be achieved when using accurate models and Real parameters that enable the extraction of trustworthy results and conclusions. This paper presents an underwater wireless sensor network ecosystem for the ns-3 simulator. This ecosystem is composed of a new energy-harvesting model and a low-cost, low-power underwater wake-up modem model that, alongside existing models, enables the performance of accurate simulations by providing Real weather and marine conditions from the location where the Real application is to be deployed.
Le Pei - One of the best experts on this subject based on the ideXlab platform.
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A novel control system simulation modeling method considering the Real Hardware platform and the software structure
Applied Mathematical Modelling, 2018Co-Authors: Jiaxi Liu, Le PeiAbstract:Abstract During the Realization of a control algorithm for the practical motor driver system, simulation is an important procedure before the algorithm is implanted into the DSP chip. In most circumstances, the simulation is done before the algorithm is Realized, which is simulated under the condition of continuous control system. However, the simulation neglects the effect of the discrete system caused by the software structure, which the algorithm in DSP is triggered by the events trigger interrupt. Moreover, the model is complicated and cannot reflect the Real Hardware and the pipelined algorithm. Furthermore, the accuracy and running time of the simulation model are controlled by the simulation step setting. In this paper, a novel discrete simulation model is Realized and introduced to consider the effect of both Hardware and software and to reduce the running time with a considerable accuracy. The unification of the parameters is also considered in the model to make the system more efficient. The result reveals that the proposed method reflects the effect of both the Real Hardware and the software, which form a close loop between the simulation and algorithm Realization. The simulation runtime is reduced, while the accuracy is unchanged, and it is suitable for the simulation of high-speed motor driver system.
Christoph Meinel - One of the best experts on this subject based on the ideXlab platform.
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EDUCON - Embedded smart home — remote lab MOOC with optional Real Hardware experience for over 4000 students
2018 IEEE Global Engineering Education Conference (EDUCON), 2018Co-Authors: Martin Malchow, Matthias Bauer, Christoph MeinelAbstract:MOOCs (Massive Open Online Courses) become more and more popular for learners of all ages to study further or to learn new subjects of interest. The purpose of this paper is to introduce a different MOOC course style. Typically, video content is shown teaching the student new information. After watching a video, self-test questions can be answered. Finally, the student answers weekly exams and final exams like the self-test questions. Out of the points that have been scored for weekly and final exams a certificate can be issued. Our approach extends the possibility to receive points for the final score with practical programming exercises on Real Hardware. It allows the student to do embedded programming by communicating over GPIO pins to control LEDs and measure sensor values. Additionally, they can visualize values on an embedded display using web technologies, which are an essential part of embedded and smart home devices to communicate with common APIs. Students have the opportunity to solve all tasks within the online remote lab and at home on the same kind of Hardware. The evaluation of this MOOCs indicates the interesting design for students to learn an engineering technique with new technology approaches in an appropriate, modern, supporting and motivating way of teaching.
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SysCon - Embedded smart home — remote lab grading in a MOOC with over 6000 participants
2017 Annual IEEE International Systems Conference (SysCon), 2017Co-Authors: Martin Malchow, Matthias Bauer, Jan Renz, Christoph MeinelAbstract:The popularity of MOOCs has increased considerably in the last years. A typical MOOC course consists of video content, self tests after a video and homework, which is normally in multiple choice format. After solving this homeworks for every week of a MOOC, the final exam certificate can be issued when the student has reached a sufficient score. There are also some attempts to include practical tasks, such as programming, in MOOCs for grading. Nevertheless, until now there is no known possibility to teach embedded system programming in a MOOC course where the programming can be done in a remote lab and where grading of the tasks is additionally possible. This embedded programming includes communication over GPIO pins to control LEDs and measure sensor values. We started a MOOC course called "Embedded Smart Home" as a pilot to prove the concept to teach Real Hardware programming in a MOOC environment under Real life MOOC conditions with over 6000 students. Furthermore, also students with Real Hardware have the possibility to program on their own Real Hardware and grade their results in the MOOC course. Finally, we evaluate our approach and analyze the student acceptance of this approach to offer a course on embedded programming. We also analyze the Hardware usage and working time of students solving tasks to find out if Real Hardware programming is an advantage and motivating achievement to support students learning success.
Kenji Doya - One of the best experts on this subject based on the ideXlab platform.
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GECCO - An evolutionary approach to automatic construction of the structure in hierarchical reinforcement learning
Genetic and Evolutionary Computation — GECCO 2003, 2003Co-Authors: Stefan Elfwing, Eiji Uchibe, Kenji DoyaAbstract:We plan to implement our method to the Real Hardware. A foreseeable extension of this study is to generalize the method as a model of cooperative and competitive mechanisms of the learning modules in the brain.
