A bloom filter is a simple space-efficient randomized data structure for the representation set of items in order to support membership queries. In recent years, Bloom filters have increased in popularity in database ...
详细信息
A bloom filter is a simple space-efficient randomized data structure for the representation set of items in order to support membership queries. In recent years, Bloom filters have increased in popularity in database and networking applications. In this paper, we introduce a new extension to optimize memory utilization for regular bloom filters, called bloom filter with an additional hashing function (BFAH). The regular bloom filter stores items from a set k times k memory locations that are determined by the k addresses stored in the bit-array structure. Which k addresses to utilize is determined by to which positions in the structure the k (regular) hashing functions are pointing to. Utilizing the additional hashing function, only one out of these k memory addresses is selected to store the item only once. Consequently, there is no longer needed to store the k-1 redundant copies. We implemented our approach in a software packet classifier based on tuple space search with the H3 class of universal hashing functions. Our results show that our approach is able to reduce the number of collisions when compared to a regular bloom filter.
RF applications like antenna miniaturization, call for low-loss impedance matched materials (epsivpsila r = mupsila r ). In this paper we address the challenges in realizing these materials for antennas. After review...
详细信息
ISBN:
(纸本)9781424420414
RF applications like antenna miniaturization, call for low-loss impedance matched materials (epsivpsila r = mupsila r ). In this paper we address the challenges in realizing these materials for antennas. After reviewing the fundamental properties of ferrimagnetics (domains, loss mechanisms) we provide measurements of their magnetic and dielectric properties. We also discuss ways for overcoming prevailing limitations associated with ferrites.
The turnaround process at airports comprises all ground handling activities that have to be performed at aircraft during their stay at an airport. Since airports are getting more and more congested with ground handlin...
详细信息
The turnaround process at airports comprises all ground handling activities that have to be performed at aircraft during their stay at an airport. Since airports are getting more and more congested with ground handling activities, the turnaround becomes one of the most constraining factors in the airport planning process. To alleviate this bottleneck, robustness of the planning of these ground handling activities is of paramount importance. In this paper, we present a simple idea to solve a strategic temporal planning problem, like the planning of ground handling processes in a way that allows unforeseen, real-time disruptions to be handled in a straightforward and elegant manner. To that end, we apply Hunsberger's temporal decoupling algorithm to a Simple Temporal Network representation of the ground handling domain. The decoupling results in a separate planning subproblem for each of the ground handling parties involved, such that they can plan and schedule their activities independently. Whatever schedule each party will choose, the decoupling guarantees that the combined schedules are feasible. This decoupling idea can be generalized and applied to develop a more robust adaptive planning system for the turnaround process.
This paper presents for the first time an analytical model of arbitrarily shallow p-n junctions. Depending on the junction depth, electrical characteristics of ultra-shallow p-n junctions can vary from the characteris...
详细信息
This paper presents for the first time an analytical model of arbitrarily shallow p-n junctions. Depending on the junction depth, electrical characteristics of ultra-shallow p-n junctions can vary from the characteristics of standard Schottky diodes to standard deep p-n junctions. Therefore, this model successfully unifies the standard Schottky and p-n diode expressions. In the crossover region, where the shallow doping can be totally depleted, electrical characteristics phenomenologically substantially different from typical diode characteristics are predicted. These predictions and the accuracy of the presented model are evaluated by comparison with the MEDICI simulations. Furthermore, ultra-shallow n+-p diodes were fabricated, and the anomalous behavior in the crossover regime was experimentally observed.
Recently, gradient Convolution Kernel Compensation method was introduced for blind assessment of sparse pulse sequences (PS) out of their convolutive mixtures. This method employs multichannel recordings, is fully aut...
Recently, gradient Convolution Kernel Compensation method was introduced for blind assessment of sparse pulse sequences (PS) out of their convolutive mixtures. This method employs multichannel recordings, is fully automatic and is minimally biased by assumptions about underlying mixing process. In the first step, the unknown mixing channels (convolution kernels) are compensated, whereas in the second step the gradient algorithm is used to blindly optimize the estimated PSs. This paper discusses the selection of the cost functions for aforementioned gradient-based optimization and provides analytical framework for their mutual comparison. Theoretical derivations are validated on both synthetic signals with random mixing matrices and experimental surface electromyograms from abductor pollicis brevis muscle. The analytical derivations agree very well with the results obtained from numerical simulations and establish theoretical guidelines for developing new gradient-based decomposition methods.
The increasing demand of various networking applications such as Internet, voice, data, video and TV services inside large cities with large population requires the design and implementation of more effective metropol...
详细信息
The increasing demand of various networking applications such as Internet, voice, data, video and TV services inside large cities with large population requires the design and implementation of more effective metropolitan networks. Currently, several wireless networking systems were established to provide such services. Two main fixed broadband access network were used for such services: Local Multipoint Distribution Service (LMDS) and Multi-channel Multipoint Distribution Service (MMDS). Both of these systems face several problems such as: high cost, relatively low speed, small coverage area, and last-mile bottleneck. The effect of the above mentioned problems are more obvious when the network size increases. The deployment of a new technology by using Wireless Optical Mesh Network (WOMN), which use wireless optical communications between nodes, can overcome these problems and can provide more bandwidth, interference-free, frequency-free and more effectiveness in applications that require a real time responding like video surveillance. We investigate the WOMN advantages and disadvantages. We also discuss the commercial, geographical coverage and real time applicability. We will also investigate the challenges to deploy the new technique for local and metropolitan networks between different city buildings.
This paper addresses the topic of unsupervised speaker segmentation for automatic speech recognition in a complex real life environment like broadcast news domain. A statistical approach where a Universal Background M...
详细信息
ISBN:
(纸本)9788022728560
This paper addresses the topic of unsupervised speaker segmentation for automatic speech recognition in a complex real life environment like broadcast news domain. A statistical approach where a Universal Background Model (UBM) is applied for online speaker segmentation was compared with the widely used Bayesian Information Criterion (BIC) approach. An analysis of influence of different window selection strategies on performance of both methods was carried out. Experiments and test evaluation were performed on the Slovenian BNSI Broadcast News speech database.
In this paper we present research work that was carried out on Slovenian BNSI Broadcast News database regarding the speech bandwidth classification. Speech recorded in studio environment has frequency bandwidth of 8kH...
详细信息
ISBN:
(纸本)9788022728560
In this paper we present research work that was carried out on Slovenian BNSI Broadcast News database regarding the speech bandwidth classification. Speech recorded in studio environment has frequency bandwidth of 8kHz, while speech recorded over telephone channel has the bandwidth of 3.1kHz. Speech bandwidth classification enables us to use separate speech models for automatic speech recognition (ASR), which helps to improve the overall automatic speech recognition result. For the task of speech bandwidth classification we used two different model-based principles. One principle is based on artificial neural network and the second principle is based on Gaussian mixture models. Both principles have been tested and evaluated using same front-end features for simple result comparison.
Simultaneous OCT and OISI were performed on rat somatosensory cortex during forepaw stimulation. The depth-integrated OCT signal correlates well with OISI signal, while OCT resolves layer-specific dynamics in function...
详细信息
暂无评论