Data traversing packet networks experience varying delays, resulting in inter-arrival jitter. This can result in degraded performance in real-time multimedia communications applications if the jitter delays are large ...
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Data traversing packet networks experience varying delays, resulting in inter-arrival jitter. This can result in degraded performance in real-time multimedia communications applications if the jitter delays are large or unaccounted for in the receiver application. This paper examines modeling and simulation of network jitter delay for real-time multimedia communications applications. We examine the multi-structure characteristics of network delay and develop a model for simulation of jitter. The model is confirmed empirically using collected packet network jitter delay statistics.
Aggressive scaling of EEPROM to below 1,000nm2 bit area will enable more applications as low-power mobile systems. We have performed a critical comparison on discrete charge storage nodes, and established the advantag...
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Aggressive scaling of EEPROM to below 1,000nm2 bit area will enable more applications as low-power mobile systems. We have performed a critical comparison on discrete charge storage nodes, and established the advantages of metal nanocrystals in terms of programming/retention design trade-off and long-term endurance.
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice, however, we find that it results in h...
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ISBN:
(纸本)1577351894
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice, however, we find that it results in highly unstable clustering performance. Our solution is to use random projection in a cluster ensemble approach. Empirical results show that the proposed approach achieves better and more robust clustering performance compared to not only single runs of random projection/clustering but also clustering with PCA, a traditional data reduction method for high dimensional data. To gain insights into the performance improvement obtained by our ensemble method, we analyze and identify the influence of the quality and the diversity of the individual clustering solutions on the final ensemble performance.
In nature, large autonomous networks of organisms form swarms adopting strategies that are highly adaptable and can serve as an inspiration for the design of future sensor networks. The technique we propose in this pa...
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In nature, large autonomous networks of organisms form swarms adopting strategies that are highly adaptable and can serve as an inspiration for the design of future sensor networks. The technique we propose in this paper is inspired by the "integrate-and-fire" model applied the analysis of many biological swarms. This technique, which we call Opportunistic Large Arrays (OLA), allows to efficiently flood a wireless network with information and, at the same time, permits to transmit reliably to far destinations that the individual nodes are not able to reach (the reachback problem). The idea is that the leader will ignite an avalanche of signals from the other nodes and the resulting distributed activity will constitute specific patterns embedding information from the leader and the nodes themselves. An adaptive receiver that acquires the resulting pattern, will be used to extract the information produced. We show, through numerical simulations, that in broadcasting applications our system gains in both energy-savings and broadcasting delay.
This paper details the development of an educational and research tool, the Network Performance Application (NetPerf), which provided real-time network performance measurement through simulated real-time data transmis...
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This paper details the development of an educational and research tool, the Network Performance Application (NetPerf), which provided real-time network performance measurement through simulated real-time data transmission over packet networks. This application is used to collect Quality of Service (QoS) statistics such as packet loss, end-to-end delay, inter-arrival delay jitter, and out-of-order packet delivery. NetPerf is written in Visual C++ using MFC for MS Windows environments. The program runs in a server/client pair over two computers connected via IP networks. Network Time Protocol (NTP) is used to synchronize each PC for accurate time measurement of packet arrivals. The user specifies transmission parameters such as packet send rate, frames per packet, packet size, etc. NetPerf initiates a connection, records all packet sending / arrival times, generates a data log, and performs statistical calculations.
This paper shows that using the Finite Element Method (FEM), the torsional stiffness of silicon varies by the least amount on silicon (111) with respect to crystallographic directions, when compared to silicon (100) a...
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ISBN:
(纸本)0791837211
This paper shows that using the Finite Element Method (FEM), the torsional stiffness of silicon varies by the least amount on silicon (111) with respect to crystallographic directions, when compared to silicon (100) and (110). The used simulator is ANSYS 5.7 with the element type of Solid 64. As a simulation model, we use a simple torsion system, in which a rotational inertia is attached to the center of clamped-clamped beam with a rectangular cross-section. From the results of the modal analysis, the torsional stiffness is derived using the formula between the natural frequency and the torsional stiffness. Simulation results show that the maximum variations of the torsional stiffness on silicon (111), (100), and (110) are 2.3%, 26.5%, and 31.2%, respectively. This implies that on 〈100〉 and 〈110〉 silicon wafers, substantially different physical dimensions are necessary for devices with the same torsional characteristics, but with different orientations. Therefore, 〈111〉 silicon wafers represent a more suitable substrate to design and fabricate torsional micro and nano systems.
To achieve timely and accurate fault detection, neural network-based time series modeling is applied to a reactive ion etching (RIE) process using an in-situ plasma sensor called optical emission spectroscopy (OES). O...
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To achieve timely and accurate fault detection, neural network-based time series modeling is applied to a reactive ion etching (RIE) process using an in-situ plasma sensor called optical emission spectroscopy (OES). OES is a well-established method of etch endpoint detection, but the large volume of data generated by this technique makes further analysis challenging. To alleviate this concern, principal component analysis (PCA) is adopted for dimensionality reduction of a voluminous OES data set, and the reduced data set is utilized for time series modeling and malfunction identification using neural networks. Four different RIE subsystems (RF power, chamber pressure, and two gas flow systems) were considered, and multiple degrees of potential faults were tested. The time series neural networks (TSNNs) are trained to forecast future process conditions, and those forecasts are compared to established baselines. Satisfying results are achieved, demonstrating the potential of this technique for real-time fault detection and diagnosis.
In this paper, we propose a modification to the class of circuits known as multiple input translinear element (MITE) networks. Our proposed modification leads to a MITE network that is free from certain nonidealities ...
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In this paper, we propose a modification to the class of circuits known as multiple input translinear element (MITE) networks. Our proposed modification leads to a MITE network that is free from certain nonidealities encountered in previous implementations. Further, the new MITE network described here readily accommodates the use of bipolar junction transistors in the input and output stages, thus implying a significantly wider dynamic range than we can achieve using subthreshold MOSFETs.
A high performance communication architecture, SAMBA-bus, is proposed in this paper. In SAMBA-bus, multiple compatible bus transactions can be performed simultaneously with only a single bus access grant from the bus ...
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A high performance communication architecture, SAMBA-bus, is proposed in this paper. In SAMBA-bus, multiple compatible bus transactions can be performed simultaneously with only a single bus access grant from the bus arbiter. Experimental results show that, compared with a traditional bus architecture, the SAMBA-bus architecture can have up to 3.5 times improvement in the effective bandwidth, and up to 15 times reduction in the average communication latency. In addition, the performance of SAMBA-bus architecture is affected only slightly by arbitration latency, because bus transactions can be performed without waiting for the bus access grant from the arbiter. This feature is desirable in SoC designs with large numbers of modules and long communication delay between modules and the bus arbiter.
An adaptive iterative detection structure is proposed for serially concatenated continuous phase modulation (SCCPM) on unknown channels. Joint phase synchronization and detection are implemented by means of a set of s...
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An adaptive iterative detection structure is proposed for serially concatenated continuous phase modulation (SCCPM) on unknown channels. Joint phase synchronization and detection are implemented by means of a set of suboptimal adaptive soft-input soft-output (SISO) algorithms. The forward-only adaptive algorithms are found more robust than the forward-backward adaptive algorithms in tracking and acquiring a time-varying channel, due to rotational invariance of CPM trellis. Simulation results also show that the performance of the proposed forward-only adaptive iterative receiver closely approach that of iterative receivers with perfect knowledge of phase offset.
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