Utilizing the sleep switch transistor technique and dual threshold voltage technique, a source following evaluation gate (SEFG) based domino circuit is presented in this paper for simultaneously suppressing the leakag...
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In this paper, we investigate whether the rule based system derived from edges are effective and efficient for face representation and recognition when the number of classes is fixed and known. The characteristics of ...
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ISBN:
(纸本)9781424471546;9780769540580
In this paper, we investigate whether the rule based system derived from edges are effective and efficient for face representation and recognition when the number of classes is fixed and known. The characteristics of edges namely straightness and crookedness are used to derive rules. During training, a representative feature value is calculated for each class based on the average percentage of edges that satisfy the rule. In recognition, the representative feature value of an unknown face image is compared against the class representative feature value to assign a label to it. The proposed system does not require extensive feature extraction and classification techniques. Our experimental analysis on the standard CALTECH face databases shows that the edge based system is suitable for real time environment.
Teaching software engineering has been recognized as an important challenge for computerscience undergraduate programs. Instruction in such area requires not only to deliver theoretical knowledge, but also to perform...
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This work develops a novel virtual production control system (VPCS), which is allocated on a manufacturer side to adjust production pace of a supplier using a short-term demand plan for reducing inventory level. In ad...
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The aim of this work is to test the effects of a specific mechanical stimulation (Low Amplitude, high Frequency Vibrations) on the bone matrix formation of hBMSCs. Previous studies demonstrated that chemical culture c...
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Development of spoken dialog systems (SDSs) can be facilitated by better evaluation methods. Previous methods seldom consider the efficiency of the system, which is important to users. We study the problem of evaluati...
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This paper presents an initial attempt at the use of crowdsourcing for collection of user judgments on spoken dialog systems (SDSs). This is implemented on Amazon Mechanical Turk (MTurk), where a Requester can design ...
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User evaluations of dialogs from a spoken dialog system (SDS) can be directly used to gauge the system's performance. However, it is costly to obtain manual evaluations of a large corpus of dialogs. Semi-supervise...
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This paper deals with a network configuration considering priori estimation error variance and communication energy in sensor networked feedback system. Each sensor transmits information to a fusion center via multi-h...
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ISBN:
(纸本)9783902661913
This paper deals with a network configuration considering priori estimation error variance and communication energy in sensor networked feedback system. Each sensor transmits information to a fusion center via multi-hop communication network. We propose a novel network configuration algorithm that each sensor node transmits information with a same dimension. The transmitted information is merged in each sensor node and consists of measurement data with time delay. Then the priori estimate can be minimum variance estimation. The proposed algorithm achieves sub-optimal network topology with minimum energy and a desired variance. Experimental results show an effectiveness of the proposed method.
In Wireless Sensor Networks with a clustered-hierarchical structure, Cluster-Head (CH) nodes function as gateways between the sensors and the Base Station (BS). The energy dissipation of the sensors can be reduced by ...
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