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排序方式: 共有1824条查询结果,搜索用时 15 毫秒
31.
Mobile devices could facilitate human interaction and access to knowledge resources anytime and anywhere. With respect to wide application possibilities of mobile learning, investigating learners’ acceptance towards it is an essential issue. Based on activity theory approach, this research explores positive factors for the acceptance of m-learning systems. In the research, we developed an m-learning system for learners’ knowledge management and invited 152 participants who knew how to use the m-learning system then report on their experience. The results show that enhancing learners’ satisfaction, encouraging learners’ autonomy, empowering system functions, and enriching interaction and communication activities have a significant positive influence on the acceptance of m-learning systems. 相似文献
32.
Roman Palenichka Ahmed Lakhssassi Marek Zaremba 《Engineering Applications of Artificial Intelligence》2011,24(5):822-832
This paper presents a method for multi-scale segmentation of surface data using scale-adaptive region growing. The proposed segmentation algorithm is initiated by an unsupervised learning of optimal seed positions through the surface attribute clustering with a two-criterion score function. The seeds are selected as consecutive local maxima of the clustering map, which is computed by an aggregation of the local isotropic contrast and local variance maps. The proposed method avoids typical segmentation errors caused by an inappropriate choice of seed points and thresholds used in the region-growing algorithm. The scale-adaptive threshold estimate is based on the image local statistics in the neighborhoods of seed points. The performance of this method was evaluated on LiDAR surface images. 相似文献
33.
TSK fuzzy modeling for tool wear condition in turning processes: An experimental study 总被引:2,自引:0,他引:2
This paper presents an experimental study for turning process in machining by using Takagi-Sugeno-Kang (TSK) fuzzy modeling to accomplish the integration of multi-sensor information and tool wear information. It generates fuzzy rules directly from the input-output data acquired from sensors, and provides high accuracy and high reliability of the tool wear prediction over a wide range of cutting conditions. The experimental results show its effectiveness and satisfactory comparisons relative to other artificial intelligence methods. 相似文献
34.
In this paper we present a new algorithm for adaptive prefix coding. Our algorithm encodes a text S of m symbols in O(m) time, i.e., in O(1) amortized time per symbol. The length of the encoded string is bounded above by (H+1)m+O(nlog 2
m) bits where n is the alphabet size and H is the entropy.
This is the first algorithm that adaptively encodes a text in O(m) time and achieves an almost optimal bound on the encoding length in the worst case. Besides that, our algorithm does not
depend on an explicit code tree traversal.
A preliminary version of this paper appeared in the Proceedings of the 2006 IEEE International Symposium on Information Theory
(ISIT 2006).
M. Karpinski’s work partially supported by a DFG grant, Max-Planck Research Prize, and IST grant 14036 (RAND-APX).
Y. Nekrich’s work partially supported by IST grant 14036 (RAND-APX). 相似文献
35.
36.
Marcin Bienkowski Marek Klonowski Miroslaw Korzeniowski Dariusz R. Kowalski 《Distributed Computing》2016,29(5):341-359
In this paper we consider the mutual exclusion problem on a multiple access channel. Mutual exclusion is one of the fundamental problems in distributed computing. In the classic version of this problem, n processes execute a concurrent program that occasionally triggers some of them to use shared resources, such as memory, communication channel, device, etc. The goal is to design a distributed algorithm to control entries and exits to/from the shared resource (also called a critical section), in such a way that at any time, there is at most one process accessing it. In our considerations, the shared resource is the shared communication channel itself (multiple access channel), and the main challenge arises because the channel is also the only mean of communication between these processes. We consider both the classic and a slightly weaker version of mutual exclusion, called \(\varepsilon \)-mutual-exclusion, where for each period of a process staying in the critical section the probability that there is some other process in the critical section is at most \(\varepsilon \). We show that there are channel settings, where the classic mutual exclusion is not feasible even for randomized algorithms, while the \(\varepsilon \)-mutual-exclusion is. In more relaxed channel settings, we prove an exponential gap between the makespan complexity of the classic mutual exclusion problem and its weaker \(\varepsilon \)-exclusion version. We also show how to guarantee fairness of mutual exclusion algorithms, i.e., that each process that wants to enter the critical section will eventually succeed. 相似文献
37.
Bartosz Więckowski 《Journal of Logic, Language and Information》2016,25(2):215-268
A first-order language with a defined identity predicate is proposed whose apparatus for atomic predication is sensitive to grammatical categories of natural language (e.g., common nouns, verbs, adjectives, adverbs, modifiers). Subatomic natural deduction systems are defined for this naturalistic first-order language. These systems contain subatomic systems which govern the inferential relations which obtain between naturalistic atomic sentences and between their possibly composite components. As a main result it is shown that normal derivations in the defined systems enjoy the subexpression property which subsumes the subformula property with respect to atomic and identity formulae as a special case. The systems admit a proof-theoretic semantics which does not only apply to logically compound but also to atomic and identity formulae—as well as to their components. The potential of the defined systems for a meticulous first-order analysis of natural inferences whose validity crucially depends on expressions of some of the aforementioned categories is demonstrated. 相似文献
38.
39.
Paul Mulholland Zdenek Zdrahal John John Domingue Marek Hatala 《Behaviour & Information Technology》2000,19(3):171-180
Integrating working and learning is seen as a desirable alternative to traditional training regimes. An integrated approach to working and learning is more gradual, contextual, problem oriented and cost effective. Knowledge technology aims to catalyze workplace learning, but requires the right organisational culture and brings additional costs regarding the articulation, representation and transmission of knowledge. Our approach reduces these costs by making articulation a natural part of collaborative working, designing for both informal and formal knowledge, and facilitating the transition of socially situated knowledge through enriched documents. To be successful, our approach has certain prequesites concerning organisational culture, and the nature of shared documents, organisational knowledge and work activities. 相似文献
40.
Marek Reformat Ronald R. Yager 《Soft Computing - A Fusion of Foundations, Methodologies and Applications》2008,12(6):543-558
A pervasive task in many forms of human activity is classification. Recent interest in the classification process has focused
on ensemble classifier systems. These types of systems are based on a paradigm of combining the outputs of a number of individual
classifiers. In this paper we propose a new approach for obtaining the final output of ensemble classifiers. The method presented
here uses the Dempster–Shafer concept of belief functions to represent the confidence in the outputs of the individual classifiers.
The combing of the outputs of the individual classifiers is based on an aggregation process which can be seen as a fusion
of the Dempster rule of combination with a generalized form of OWA operator. The use of the OWA operator provides an added
degree of flexibility in expressing the way the aggregation of the individual classifiers is performed. 相似文献