A stub-loaded dual-mode ring resonator is proposed to design a millimeter-wave bandpass filter using 0.18-μm CMOS Technology. By increasing the length of the open-circuited stub at the inner corner of the ring resona...
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A stub-loaded dual-mode ring resonator is proposed to design a millimeter-wave bandpass filter using 0.18-μm CMOS Technology. By increasing the length of the open-circuited stub at the inner corner of the ring resonator, the even-mode resonant frequency is moved to a lower frequency to separate it from the odd-mode resonant frequency. Therefore, the center frequency of the passband has been shifted to a lower frequency to achieve a reduced-size filter design. At the same time, an additional transmission zero is brought in at the upper stopband that can be adjusted by the length of the stub as well. Finally, a 60 GHz bandpass filter is fabricated and characterized. The filter has achieved an ultra-compact size of 0.092 × 0.56 mm. The measured results show good passband performance with two visible transmission poles and three transmission zeros thereby verifying the design principle.
This paper presents methods for automatic generation of synthesizable models of Transducer, a highly flexible communication module for interfacing multicore system components. We describe the transducer architecture, ...
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This paper presents methods for automatic generation of synthesizable models of Transducer, a highly flexible communication module for interfacing multicore system components. We describe the transducer architecture, comprising the bus interface, high-level communication controllers and buffer management blocks. The well defined architecture and model semantics of the transducer enable its automatic generation. Moreover, the simple interface of the transducer provides for a well defined software interface, making it easy to update the software after changes in multicore system architecture. Our experimental results show that in multicore system design for large applications such as MP3 decoder and JPEG encoder, automatic transducer generation provides productivity gains of 9-23X due to significant savings in communication model development. On the quality axis, we show that multicore communication design using automatically generated transducers has only a 9% overhead in communication delay over a fully-connected point-to-point communication architecture.
Nanoscale superlattice-like (SLL) dielectric was employed to reduce the power consumption of the Phase-change random access memory (PCRAM) cells. In this study, we have simulated and found that the cells with the SLL ...
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Nanoscale superlattice-like (SLL) dielectric was employed to reduce the power consumption of the Phase-change random access memory (PCRAM) cells. In this study, we have simulated and found that the cells with the SLL dielectric have a higher peak temperature compared to that of the cells with the SiO2 dielectric after constant pulse activation, due to the interface scattering mechanism. Scaling of the SLL dielectric has resulted in higher peak temperatures, which can be even higher after material/structural modifications. Furthermore, the SLL dielectric has good material properties that enable the cells to have high endurance. This shows the effectiveness of the SLL dielectric for advanced memory applications.
As the operating frequency and integration level of integrated circuits (IC) increase, full-wave analysis algorithms are needed to accurately simulate the arising electromagnetic phenomena. The finite-element time-dom...
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As the operating frequency and integration level of integrated circuits (IC) increase, full-wave analysis algorithms are needed to accurately simulate the arising electromagnetic phenomena. The finite-element time-domain (FETD) method has become an attractive candidate for this simulation due to its advantages in modeling complex geometries and materials, conducting transient analyses, and performing broadband characterizations. Three FETD-based numerical algorithms, including the original FETD method, the dual-field domain decomposition (DFDD) method, and the discontinuous Galerkin time-domain (DGTD) method, are investigated and applied to the simulation of printed circuit board (PCB) structures to demonstrate their accuracies and capabilities.
Recently, higher education has seen an increasing emphasis on the prominent role of computational thinking in all disciplines. Computational thinking is advocated as not only a fundamental skill or concept in computer...
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Recently, higher education has seen an increasing emphasis on the prominent role of computational thinking in all disciplines. Computational thinking is advocated as not only a fundamental skill or concept in computer science but also a core competency for all disciplines. Teaching students in non-computer science majors computing thinking is challenging because students do not have experts' mental models. This study investigates the knowledge gap that non-computing major college students (n=126) possess about computational thinking in an introductory MS Excel course by measuring their performance using spreadsheet functions in three categories: recall, application, and problem solving. The empirical result, analyzed using ANOVA, shows that students can recall the meaning of those functions but seem to have trouble using them correctly and precisely (cued or uncued). Students' test results suggest the following issues: (1) problems with understanding the data type, (2) failure in translating problems to productive representations using spreadsheet functions, and (3) inadequate stipulation of the computational representations in precise forms. Addressing these problems early and explicitly in future classes could improve the education of computational thinking and alleviate difficulties students may experience in using computational thinking in learning and problem solving.
We examine the effect of transmit antenna selection on the secondary user (SU) and primary user (PU) capacity in a multiple-input single-output cognitive radio system. We consider antenna selection with the aim of imp...
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We examine the effect of transmit antenna selection on the secondary user (SU) and primary user (PU) capacity in a multiple-input single-output cognitive radio system. We consider antenna selection with the aim of improving SU and PU capacity and mitigating the effects of incomplete channel knowledge by the SU. Under a minimum PU signal-to-interference-and-noise ratio constraint, analytical and semi-analytical expressions for the permissible SU transmit power are derived, which are used in obtaining capacity cumulative distribution functions by means of simulations. We show that PU antenna selection is effective at reducing the SU blocking probability, the probability that it cannot transmit, while SU antenna selection leads to significant gains in its capacity. Antenna selection at the SU is also shown to effectively compensate for incomplete channel knowledge and can be used to achieve moderate improvements in PU capacity.
Abstract A problem of assessing stability of retarded dynamical networks is solved in this paper. Subsystems are assumed to be integral input-to-state stable (iISS). Time-delays are allowed to reside in both subsystem...
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Abstract A problem of assessing stability of retarded dynamical networks is solved in this paper. Subsystems are assumed to be integral input-to-state stable (iISS). Time-delays are allowed to reside in both subsystems and interconnection channels, and may be both discrete and distributed. No assumption is made on the interconnection topology. This paper develops a small-gain methodology for constructing a Lyapunov-Krasovskii functional of such a network.
In this paper, we consider the multidimensional zero-one knapsack problem (0-1 MKP). The objective of the problem is to find a subset of objects that yields maximum profit without violating knapsack constraints. The 0...
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In this paper, we consider the multidimensional zero-one knapsack problem (0-1 MKP). The objective of the problem is to find a subset of objects that yields maximum profit without violating knapsack constraints. The 0-1 MKP is known to be NP-hard. Due to the intractability of the problem, numerous research efforts have focused on various approximation algorithms to acquire satisfactory suboptimal solutions within a reasonable amount of computation cost. However, most realistic approaches for solving the 0-1 MKP still remain to be improved. On the basis of ant colony optimization, we therefore propose a novel constructive algorithm. The proposed algorithm, namely AST-MKP, adopts a new type of constructive graph for leading artificial ants in making decisions to select effective solution components. Moreover, we also devise a local search scheme to advance the quality of solutions obtained. The performance of the AST-MKP algorithm is demonstrated by comparing it against other existing algorithms in terms of overall profit for a set of problem instances obtained form the OR-Library. Experimental results indicate that the algorithm proposed here performs significantly better than the competitive approaches.
In this paper, we discuss the hybrid capacity region of a generic multicarrier multilayer broadcast and unicast cellular system with independent channel coding over subcarriers. In particular, we analytically derive t...
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In this paper, we discuss the hybrid capacity region of a generic multicarrier multilayer broadcast and unicast cellular system with independent channel coding over subcarriers. In particular, we analytically derive the capacity region and provide conditions to achieve its boundary. The simulation results show that the hybrid capacity regions are considerably higher than those of the traditional time division multiplexing scheme.
This paper compares two different formulations of the latency insertion method (LIM) for the analysis of circuits with dependent sources. One is the scalar LIM and the other is the amplification matrix LIM. Numerical ...
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This paper compares two different formulations of the latency insertion method (LIM) for the analysis of circuits with dependent sources. One is the scalar LIM and the other is the amplification matrix LIM. Numerical experiments demonstrate that the scalar LIM necessitates much smaller time step than the amplification matrix LIM when handling certain types of dependent sources indicating better performance of the latter technique without a sacrifice in accuracy.
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