This paper presents a cutting force model for dental training system with haptic display capability. The force model is proposed by theoretic analysis of the cutting force between dental tools and tooth. A damping mat...
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This paper presents a cutting force model for dental training system with haptic display capability. The force model is proposed by theoretic analysis of the cutting force between dental tools and tooth. A damping matrix is developed for obtaining a unified formulation for all components of cutting forces. All factors that affect the cutting force are considered in the model by including a number of parameters. These parameters are identified by tooth-cut experiments, which measure the cutting force with a six-dimensional force sensor. A prototype system of haptic simulation is developed to test the model. Dentists performing virtual operation on the system have confirmed the realistic sense of cutting force.
Five years of field practice in developing and delivering Mechatronics courses in the context of a Control education curriculum, have shaped the didactic approaches in place and delivered a number concrete results fro...
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Five years of field practice in developing and delivering Mechatronics courses in the context of a Control education curriculum, have shaped the didactic approaches in place and delivered a number concrete results from hands-on experience. The paper reports on some of the main outcomes of this undertaking, presented within an integrating framework that brings together curriculum content, didactic methods, teaching tools and organizational aspects.
The paper presents how workflow-oriented, single-user Grid portals could be extended to meet the requirements of users with collaborative needs. Through collaborative Grid portals different research and engineering te...
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An environment targeted to e-learning is presented for teaching advanced test issues in digital electronics. Digital circuits and systems are getting more and more complex, and in the same time the requirements for th...
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An environment targeted to e-learning is presented for teaching advanced test issues in digital electronics. Digital circuits and systems are getting more and more complex, and in the same time the requirements for the quality of systems are getting higher and higher. This is the reason why the importance of testing as an engineering task has started to grow extremely fast. An environment which consists of a set of Java applets has been created to help the students to improve their understanding of test. The tools support university courses on digital electronics, computer hardware, testing and design for testability to learn by hands-on exercises how to generate test patterns, and how to analyze their quality. The tasks chosen for hands-on training represent simultaneously real research problems, which allow to foster in students critical thinking, problem solving skills and creativity.
One of the main problems related to regulatory network reconstruction from expression data concerns the small size and low quality of the available dataset. When trying to infer a model from little information it is n...
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One of the main problems related to regulatory network reconstruction from expression data concerns the small size and low quality of the available dataset. When trying to infer a model from little information it is necessary to give much more precedence to generalization, rather than specificity, otherwise, any attempt will be fated to overfitting. In this paper we address this issue by focusing on data sparseness and noisy information, and propose a density estimation technique that achieves regularized curves when data is scarce. We first compare the proposed method with the EM algorithm for mixture models on density estimation problems. Next, we apply the method, together with Bayesian networks, on realistic simulations of static gene networks, and compare the obtained results with the standard discrete Bayesian network model. We intend to demonstrate that adopting a discrete approach is not justifiable when only a small amount of information is available.
Outliers are data values that lie away from the general cluster of other data values. Detecting the outliers of a dataset is an important research topic for data cleaning and finding new useful knowledge in many resea...
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An environment directed to e-learning is presented for teaching test generation and fault diagnosis in digital circuits. The environment consists of a set of Java applets for learning basics of test preliminary and of...
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Guidance through waypoinis is common for small autonomous marine vehicles. Guidance by the line of sight, which turns the vehicle directly towards the next waypoint without any reference path calculation, is computati...
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Guidance through waypoinis is common for small autonomous marine vehicles. Guidance by the line of sight, which turns the vehicle directly towards the next waypoint without any reference path calculation, is computationally the simplest form of waypoint guidance. However, the basic algorithm gives rather poor guidance due to the missed waypoint problem, lack of sea current compensation and abrupt transitions between the consecutive waypoinis. Significant path deviations and even deadlocks are possible due to these problems. Therefore, more complex algorithms are usually used in real world applications. The research reported in this paper aims to demonstrate that significant improvements of the basic line-of-sight guidance algorithm can be achieved by several intuitive, simple corrections and additions. The simplicity of the basic line-of-sight guidance algorithm is not compromised. In particular, missed waypoint detection is performed by monitoring the distance between the vehicle and the waypoint. Introduced reference heading corrections are based upon the location of the next waypoint after the one the vehicle is currently approaching, and upon the sea current direction and intensity. The results of these corrections are shown in several simulation examples. In addition, the paper includes a short discussion about the lineof-sight guidance in the diving plane. Copyright 2004 IFAC.
Food packing, including food localization, food grasping and food assembly, is important to human daily life and is very labour-consuming so far. Automated food packing can reduce the number of labour intensive handli...
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Food packing, including food localization, food grasping and food assembly, is important to human daily life and is very labour-consuming so far. Automated food packing can reduce the number of labour intensive handling operations and bring a huge profit. Also, it can reduce microbial and foreign body contamination due to human contacts and increase the hygiene and reliability. The main difficulties are caused by (a) Specifies of the food products such as (i) irregularity of shapes, (ii) sticky surfaces and (iii) friability of food products and (b) the requirement of high hygiene, reliability and flexibility. Based on others' and author's previous work, this paper provides a new system for food packing with intelligent robots, which can grasp and assembly various irregular food products without sensors and also have the learning ability to improve the effectiveness and flexibility.
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