A new and efficient method of designing the transmultiplexer filters is presented. The bilinear equations posed for the FIR filters are solved to achieve perfect reconstruction. For a given combining filter bank a sep...
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A new and efficient method of designing the transmultiplexer filters is presented. The bilinear equations posed for the FIR filters are solved to achieve perfect reconstruction. For a given combining filter bank a separation filter bank can be developed by solving a set of algebraic equations. Some examples of a two-channel and four-channel transmultiplexer system are provided to illustrate the method of filter bank designing. Due to the incorporation of integer filters a perfect reconstruction was realized and crosstalk was completely eliminated not only theoretically but also in practice. Such transmultiplexers can be applied to coded signals transmission. It is pointed that the orthogonal filters can be obtained as well.
This research explores the intricate relationship between questionnaire structures and the accuracy of learning style predictions among students. Focusing on the balance between core and secondary questions, the study...
This research explores the intricate relationship between questionnaire structures and the accuracy of learning style predictions among students. Focusing on the balance between core and secondary questions, the study meticulously analyzes various ratios, emphasizing their impact on the learning style classification system. Through rigorous testing and integration of the Felder-Silverman Learning Style Model (FSLSM) with the Support Vector Machine (SVM) algorithm, the research uncovers crucial insights. Results showcase that a careful balance and distribution of questions significantly enhance the accuracy of predicting student learning styles, with accuracy rates reaching up to 89%. This study not only emphasizes the importance of personalized education but also demonstrates the practical applicability of advanced machine learning techniques. The findings provide a roadmap for the future of education, emphasizing a nuanced, question-specific approach for a more accurate, tailored, and responsive learning experience.
Proof assistants are important tools for teaching logic. We support this claim by discussing three formalizations in Isabelle/HOL used in a recent course on automated reasoning. The first is a formalization of System ...
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There is a growing consensus among computerscience faculty that it is quite difficult to teach the introductory course on Artificial Intelligence well [4, 6]. In part this is because AI lacks a unified methodology, o...
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(纸本)9780897919944
There is a growing consensus among computerscience faculty that it is quite difficult to teach the introductory course on Artificial Intelligence well [4, 6]. In part this is because AI lacks a unified methodology, overlaps with many other disciplines, and involves a wide range of skills from very applied to quite formal. In the funded project described here we have addressed these problems by" Offering a unifying theme that draws together the disparate topics of AI;" Focusing the course syllabus on the role AI plays in the core computerscience curriculum; and" Motivating the students to learn by using concrete, hands-on laboratory *** approach is to conceive of topics in AI as robotics tasks. In the laboratory, students build their own robots and program them to accomplish the tasks. By constructing a physical entity in conjunction with the code to control it, students have a unique opportunity to directly tackle many central issues of computerscience including the interaction between hardware and software, space complexity in terms of the memory limitations of the robot's controller, and time complexity in terms of the speed of the robot's action decisions. More importantly, the robot theme provides a strong incentive towards learning because students want to see their inventions *** robot-centered approach is an extension of the agent-centered approach adopted by Russell and Norvig in their recent text book [11]. Taking the agent perspective, the problem of AI is seen as describing and building agents that receive perceptions as input and then output appropriate actions based on them. As a result the study of AI centers around how best to implement this mapping from perceptions to actions. The robot perspective takes this approach one step further; rather than studying software agents in a simulated environment, we embed physical agents in the real world. This adds a dimension of complexity as well as excitement to the AI course. The complex
We generate and reconstruct a maximally-entangled time-bin ququart using quantum state tomography and polarization-projective measurements. We measure a fidelity of 93.7±0.4% to a maximally-entangled ququart with...
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We propose a new class of efficient decoding algorithms for Reed-Muller (RM) codes over binary-input memoryless channels. The algorithms are based on projecting the code on its cosets, recursively decoding the project...
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The speed-robust scheduling problem is a two-stage problem where, given m machines, jobs must be grouped into at most m bags while the processing speeds of the machines are unknown. After the speeds are revealed, the ...
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Model-based design of experiment (MBDoE) provides a framework to collect informative data for system identification. However, a parametric and structural mismatch between the design model and the underlying physical s...
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Model-based design of experiment (MBDoE) provides a framework to collect informative data for system identification. However, a parametric and structural mismatch between the design model and the underlying physical system can lead to hazardous experiments in safety critical systems. In this work, we present a method to safely improve system identification based on insights from a model-based optimal experimental design. From a visual inspection of a MBDoE, we select an approximated output curve fulfilling system constraints as a reference for the physical system. To avoid open-loop implementation of the MBDoE, we use our approximated reference together with a reference-tracking controller to collect experimental data in closed-loop. In this type 2 diabetes (T2D) case study, the proposed design method is safe and provides informative experimental data for system identification.
Circle graphs are intersection graphs of chords of a circle. In this paper, we present a new algorithm for the circle graph isomorphism problem running in time O((n + m)α(n + m)) where n is the number of vertices, m ...
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Considering the diverse application scenarios involving wireless sensor networks (WSNs), accurate continuous monitoring requires a solution to the essential task of estimating unmeasured locations in the monitored spa...
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Considering the diverse application scenarios involving wireless sensor networks (WSNs), accurate continuous monitoring requires a solution to the essential task of estimating unmeasured locations in the monitored space. In this paper, we utilize Epsilon-Smooth Support Vector Regression (Epsilon-SSVR) to report monitoring information of environment, furthermore we combine spatial and temporal correlation to strengthen monitoring accuracy. However if our sensors are too sparsely deployed, the resulting coverage holes problem will adversely impact the monitoring result. Therefore, we utilize Uniform Design and different local interpolation methods to assist Epsilon-SSVR to mitigate the coverage holes problem. In our experiment, we compare our method with different methods applied to different sensors deployments. Epsilon-SSVR has better accuracy and computation speed than others. Besides continuous monitoring, we also propose a distributed anomaly detection mechanism to report anomaly information, in order to provide a reliable and real time anomaly monitoring system.
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