Synchronized alternating machine is an alternating machine with a special subset of internal states called synchronizing states. This paper introduces a four-dimensional synchronized alternating Turing machine (4-SATM...
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Synchronized alternating machine is an alternating machine with a special subset of internal states called synchronizing states. This paper introduces a four-dimensional synchronized alternating Turing machine (4-SATM), and investigates fundamental properties of 4-SATM's. The main topics of this paper are: (1) a relationship between the accepting powers of 4-SATM's and four-dimensional alternating Turing machines with small space bounds, (2) a relationship between the accepting powers of seven-way and eight-way 4-SATM's, (3) a relationship between the accepting powers of 4-SATM's and four-dimensional nondeterministic Turing machines. In this paper, we let each sidelength of each input tape of these automata be equivalent in order to increase the theoretical interest.
"Virtual Coach" refers to a coaching program or device aiming to guide users through tasks for the purpose of prompting positive behavior or assisting with learning new skills. This article reviews virtual c...
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In this paper, a control mechanism is presented to improve the compliance performance of the robot manipulator when it is in contact with the unknown environment. This mechanism guarantees that the dynamics of the who...
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The tensor rank (also known as generalized Schmidt rank) of multipartite pure states plays an important role in the study of entanglement classifications and transformations. We employ powerful tools from the theory o...
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The tensor rank (also known as generalized Schmidt rank) of multipartite pure states plays an important role in the study of entanglement classifications and transformations. We employ powerful tools from the theory of homogeneous polynomials to investigate the tensor rank of symmetric states such as the tripartite state |W3⟩=13(|100⟩+|010⟩+|001⟩) and its N-partite generalization |WN⟩. Previous tensor rank estimates are dramatically improved and we show that (i) three copies of |W3⟩ have a rank of either 15 or 16, (ii) two copies of |WN⟩ have a rank of 3N−2, and (iii) n copies of |WN⟩ have a rank of O(N). A remarkable consequence of these results is that certain multipartite transformations, impossible even probabilistically, can become possible when performed in multiple-copy bunches or when assisted by some catalyzing state. This effect is impossible for bipartite pure states.
This article was originally published online and in print with an error in H. X. Jiang’s name. The authors appears correctly above. All online versions of the a
This article was originally published online and in print with an error in H. X. Jiang’s name. The authors appears correctly above. All online versions of the a
Classification is the basis of cognition. Unlike other solutions, this study approaches it from the view of outliers. We present an expanding algorithm to detect outliers in univariate datasets, together with the unde...
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Classification is the basis of cognition. Unlike other solutions, this study approaches it from the view of outliers. We present an expanding algorithm to detect outliers in univariate datasets, together with the underlying foundation. The expanding algorithm runs in a holistic way, making it a rather robust solution. Synthetic and real data experiments show its power. Furthermore, an application for multi-class problems leads to the introduction of the oscillator algorithm. The corresponding result implies the potential wide use of the expanding algorithm.
Existing file-based communication with spacecraft has tended to be an ad-hoc affair using bespoke protocols and operational procedures. Recent developments in space communication protocols promise to move this to a mo...
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Learning by discussion when applied to on-line collaborative learning settings can provide significant benefits for students in education in general. Indeed, the discussion process plays an important social task in co...
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Learning by discussion when applied to on-line collaborative learning settings can provide significant benefits for students in education in general. Indeed, the discussion process plays an important social task in collaborative learning practices. Participants can discuss about the activity being performed, collaborate with each other through the exchange of ideas that may arise, propose new resolution mechanisms, justify and refine their own contributions, and as a result, acquire new knowledge. Considering these benefits, current educational organizations incorporate on-line discussions into web-based courses as part of the very rationale of their pedagogical models. However, in-class collaborative assignments are usually greatly participated and contributed, which makes the monitoring and assessment tasks by tutors and moderators time-consuming, tedious and error-prone. Specially hard if not impossible by human tutors is to manually deal with the sequences of hundreds of contributions making up the discussion threads and the relations between these contributions. Consequently, tutoring tasks during on-line discussions usually restrict to offer evaluation results of the contributing effort and quality after the collaborative learning activity takes place and thus neglect the essential issue of constantly considering the process of knowledge building while it is still being performed. In this paper, we propose a multidimensional model based on data analysis from online collaborative discussion interactions that provides a first step towards an automatic evaluation in just-in-time fashion. The context of this study is a real on-line discussion experience that took place at the Open University of Catalonia.
The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware arch...
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The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware architecture to support knowledge management in working processes. The required features for this architecture are processing, reasoning and sharing contextual knowledge involving information about activities performed. We also present results from evaluation of our proposal — A-CoBrA — for a specific domain.
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