Short-term traffic forecasting is becoming more important in intelligent transportation systems. The k-nearest neighbours (kNN) method is widely used for short-term traffic forecasting. However, the self-adjustment of kNN parameters has been a problem due to dynamic traffic characteristics. This paper proposes a fully automatic dynamic procedure kNN (DP-kNN) that makes the kNN parameters self-a...

The performance of distributed shared memory depends on the memory coherence algorithms and the access characteristics of shared data. In this paper, we propose an eecient coherence scheme using multiple coherence algorithms with self-adjusting feature. Our method can dynamically choose a more adaptive coherence algorithm for each variable class and the incorrect classiication of shared variabl...

The scroll compressor incorporates new construction concepts and is quite different from other types of compressor. This unique and simple compression mechanism has a number of advantages such as small size, light weight, high efficiency, long life, and quiet operation. The compliant mechanism is one of the key ways to improve the performance and reliability of scroll compressors. The concept o...

The purpose of this paper is to describe a self-adjusting, vision-based controller which is able to control the position of a robotic manipulator without explicit calibration of camera parameters. The control strategy is based on the concepts of cyclic switching (Pait 1993) and dwell-time switching (Morse 1995a). With these techniques, it is possible to design and implement a supervisory contro...

OBJECTIVE To present our work with the Masterka self-adjusting monocanalicular intubation without nasal recuperation in congenital lacrimal obstruction in children over 12-months old. METHODS A total of 40 children between the ages of one and seven (average age 2.6 years) were consecutively operated on. The Masterka catheter has a flexible metal guide inside the silicone tube that covers it c...

Using the principle of homeostasis, we derive a learning rule for a specific recurrent neural network structure, the so-called Self-Adjusting Ring Module (SARM). Several of these Ring Modules can be plugged together to drive segmented artificial organisms, for example centipede-like robots. Controlling robots of variable morphologies by SARMs has major advantages over using Central Pattern Gene...

This paper initiates the study of self-adjusting distributed data structures for networks. In particular, we present SplayNets: a binary search tree based network that is self-adjusting to routing request. We derive entropy bounds on the amortized routing cost and show that our splaying algorithm has some interesting properties. 1 Contribution Sketch Distributed Splay Trees. In the mid 80s, Sle...

Oxygen top-blow converter is the main equipment in steelmaking. Because the support system of converter bears total weight of the converter and its accessories, and meanwhile transfers tilting torque from tilting mechanism to converter, it is the most important part of converter machinery. The joint equipment which links the converter with the support ring is the key part in the support system,...