Multicasting is a key technology for both users and service providers as it enables important bandwidth savings, and thus lower costs, for content distribution and group communication. The current network level multic...
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Electronic devices do the impossible in that they introduce new measures and monitors, acheive the automation of manual tasks, and potentially enable the relocation of care and patient monitoring to less intensive set...
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We propose a number of features for Web spam filtering based on the occurrence of keywords that are either of high advertisement value or highly spammed. Our features include popular words from search engine query log...
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ISBN:
(纸本)1595937323
We propose a number of features for Web spam filtering based on the occurrence of keywords that are either of high advertisement value or highly spammed. Our features include popular words from search engine query logs as well as high cost or volume words according to Google AdWords. We also demonstrate the spam filtering power of the Online Commercial Intention (OCI) value assigned to an URL in a Microsoft adCenter Labs Demonstration and the Yahoo! Mindset classification of Web pages as either commercial or non-commercial as well as metrics based on the occurrence of Google ads on the page. We run our tests on the WEBSPAM-UK2006 dataset recently compiled by Castillo et al. as a standard means of measuring the performance of Web spam detection algorithms. Our features improve the classification accuracy of the publicly available WEBSPAM-UK2006 features by 3%. Copyright 2007 ACM.
An overwhelming part of research work on wireless networks validates new concepts or protocols with simulation or analytical modeling. Unlike this approach, we present our experience with implementing the Idle Sense a...
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ISBN:
(纸本)9781595937704
An overwhelming part of research work on wireless networks validates new concepts or protocols with simulation or analytical modeling. Unlike this approach, we present our experience with implementing the Idle Sense access method on programmable off-the-shelf hardware-the Intel IPW2915/abg chipset. We also present measurements and performance comparisons of Idle Sense with respect to the Intel implementation of the 802.11 DCF (Distributed Coordination Function) standard. Implementing a modified MAC protocol on constrained devices presents several challenges: difficulty of programming without support for multiplication, division, and floating point arithmetic, absence of support for debugging and high precision measurement. To achieve our objectives, we had to overcome the limitations of the hardware platform and solve several issues. In particular, we have implemented the adaptation algorithm with approximate values of control parameters without the division operation and taken advantage of some fields in data frames to trace the execution and test the implemented access method. Finally, we have measured its performance to confirm good properties of Idle Sense: it obtains slightly better throughput, much better fairness, and significantly lower collision rate compared to the Intel implementation of the 802.11 DCF standard. Copyright 2007 ACM.
Due to the advent of pervasive and distributed computing, the shift in data processing paradigms is quite visible in many applications (e.g., communication, industrial control, public administrations, geographically d...
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ISBN:
(纸本)9780863418532
Due to the advent of pervasive and distributed computing, the shift in data processing paradigms is quite visible in many applications (e.g., communication, industrial control, public administrations, geographically distributed business, etc.). The switch from centralized processing paradigm to the local processing paradigm is becoming a necessity due to many factors such as: security, privacy, limitation of the transmission bandwidth, time processing, business strategies and rules, limited power supply, etc. In this paper, a clustering approach dedicated to distributed data emanating from diverse sources is proposed and evaluated. This approach is guided by two principles: coordination and collaboration among various data sources to cope with the problem of privacy and corporate confidentiality in an appropriate way.
A novel complementary clamp piezoworm stage was developed to be integrated into an XY configuration for applications such as microarray manufacture. The actuator is a complementary clamp piezoworm which acts directly ...
The "ipo", "cipo" [1], [2] "cibo" are active agents that agitate & bring the passive spectator into an active & interactive relationship with the subject. The interminglement of b...
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ISBN:
(纸本)9780863418532
The "ipo", "cipo" [1], [2] "cibo" are active agents that agitate & bring the passive spectator into an active & interactive relationship with the subject. The interminglement of both, spectator (body) & subject (technology) transforms the given space into an experimental hybrid space where body & technology meet. The new medium of artworks is action-based. It involves the physical viewer participation & life's energy of human presence of the spectators or the performers. The body actions support the improvisation of selfdiscovery through this medium, and in turn the artwork itself becomes an improvisation. The successive transcriptions -transpositions of human presence & action in schemes, traces, signs, represent the distributed body, which is transcribed through various multiple mediums. Machine-organism inspired from: a) Gordon Pask's theory of discourse between man, machines and learning machines. [8] b) Norbert Wiener's theory of control and communication of machines. [6].
This paper presents the first basic principles, implementation and experimental results of what could be regarded as a new approach to reinforcement learning, where agents-physical robots interacting with objects and ...
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ISBN:
(纸本)9783540742616
This paper presents the first basic principles, implementation and experimental results of what could be regarded as a new approach to reinforcement learning, where agents-physical robots interacting with objects and other agents in the real world-can learn to anticipate rewards using their sensory inputs. Our approach does not need discretization, notion of events, or classification, and instead of learning rewards for the different possible actions of an agent in all the situations, we propose to make agents learn only the main situations worth avoiding and reaching. However, the main focus of our work is not reinforcement learning as such, but modeling cognitive development on a small autonomous robot interacting with an "adult" caretaker, typically a human, in the real world;the control architecture follows a Perception-Action approach incorporating a basic homeostatic principle. This interaction occurs in very close proximity, uses very coarse and limited sensory-motor capabilities, and affects the "well-being" and affective state of the robot. The type of anticipatory behavior we are concerned with in this context relates to both sensory and reward anticipation. We have applied and tested our model on a real robot.
This paper describes the development of a novel control system for a robotic arm orthosis for assisting patients in motor training following stroke. The robot allows naturalistic motion of the arm and is as mechanical...
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ISBN:
(纸本)9781424407910
This paper describes the development of a novel control system for a robotic arm orthosis for assisting patients in motor training following stroke. The robot allows naturalistic motion of the arm and is as mechanically compliant as a human therapist's arms. This compliance preserves the connection between effort and error that appears essential for motor learning, but presents a challenge: accurately creating desired movements requires that the robot form a model of the patient's weakness, since the robot cannot simply stiffly drive the arm along the desired path. We show here that a standard model-based adaptive controller allows the robot to form such a model of the patient and complete movements accurately. However, we found that the human motor system, when coupled to such an adaptive controller, reduces its own participation, allowing the adaptive controller to take over the performance of the task. This presents a problem for motor training, since active engagement by the patient is important for stimulating neuroplasticity. We show that this problem can be solved by making the controller continuously attempt to reduce its assistance when errors are small. The resulting robot successfully assists stroke patients in moving in desired patterns with very small errors, but also encourages intense participation by the patient. Such robot assistance may optimally provoke neural plasticity, since it intensely engages both descending and ascending motor pathways.
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