We analyzed the Co-emergence process on the cooperative walks between two humans. As the results, we found the cyclic process based on the following two control processes. One is the process to realize the footsteps&#...
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ISBN:
(纸本)0780378660
We analyzed the Co-emergence process on the cooperative walks between two humans. As the results, we found the cyclic process based on the following two control processes. One is the process to realize the footsteps' coherence between the cooperative walkers. The other is the process to control the coherence by the mutual relations with the fluctuations of the arms' swing, connected with the attention. Additionally we found that the arms' fluctuations take flexible synchronizations between the cooperative walkers. These results suggest that the synchronization of the cyclic process realize the Co-emergence of the cooperative walk flexibly.
In recent years, the ensemble technology between the distant places with the networks have been proposed. The problem of the technology is the affection of the time lag in the networks. The purpose of this study is to...
ISBN:
(纸本)0780378660
In recent years, the ensemble technology between the distant places with the networks have been proposed. The problem of the technology is the affection of the time lag in the networks. The purpose of this study is to clarify the characteristic of the ensembles between the distant humans. We constructed the network ensemble system, which is possible to set the time lag, and analyze the changes in the various kinds of the time lags. As the results, when with the 90ms or more time lag, the performance becomes failure. Also then with the 50-80ms time lag,they perform with the differentiation of the roles based on the mutual anticipations.
Potential fields have been widely used for mobile robot navigation and obstacle avoidance. Their success is due to two main reasons: the simplicity with which a path planning problem can be represented and solved and,...
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This paper introduces a novel self-localization algorithm for mobile robots, which recovers the robot position from a single image of identified landmarks taken by an onboard camera. The visual angle between two landm...
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On this paper new measurement disturbance detection method based on Q-chart is presented. The disturbance detection is used on multiplexed particle size analyzer to detect air bubbles appearing on end of measurement s...
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People with diabetes, clinicians and researchers alike need appropriate metrics to manage diabetes, assess the quality of blood glucose control, and guide the development of new therapies and control methods. In this ...
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ISBN:
(纸本)9798350398823
People with diabetes, clinicians and researchers alike need appropriate metrics to manage diabetes, assess the quality of blood glucose control, and guide the development of new therapies and control methods. In this paper, we review some commonly used metrics with their advantages and disadvantages. We analyze the glucose data of a CGM user to compare the results of different metrics and determine which of these gives the most complete picture of glycemic control in silico trials of artificial pancreas systems.
Spreading of misinformation on the web nowadays represents a serious issue, as their influence on peoples opinions may be significant. Fake news represents a specific type of misinformation. While its detection was mo...
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ISBN:
(纸本)9781728156255
Spreading of misinformation on the web nowadays represents a serious issue, as their influence on peoples opinions may be significant. Fake news represents a specific type of misinformation. While its detection was mostly being performed manually in the past, automated methods using machine learning and related fields became more critical. On the other hand, deep learning methods became very popular and frequently used methods in the field of data analysis in recent years. The study presented in this paper deals with the detection of fake news from the textual data using deep learning techniques. Our main idea was to train different types of neural network models using both entire texts from the articles and to use just the title text. The models were trained and evaluated on the Fake News dataset obtained from the Kaggle competition.
Transparent slide detection, pick and place automation are obtained in order to boost speed, accuracy and smooth workflow between slide coverslipping and digital scanning operation in digital pathology. Fully automati...
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ISBN:
(纸本)9798350398823
Transparent slide detection, pick and place automation are obtained in order to boost speed, accuracy and smooth workflow between slide coverslipping and digital scanning operation in digital pathology. Fully automatic, precise, robust solution has been developed by robotic arm using computer vision and image processing techniques. Magazine (slide holder) and gripper design, camera selection and mapping to robot base coordinate system are all guided. Python based software algorithms for slide detection and 3D position determination applied in dynamically changeable environment are also explained step by step. Complete automatic process control method is implemented and tested for different types of slide.
This paper presents a Genetic Algorithm (GA) approach to evolving robot behaviours. We use fuzzy logic controllers (FLCs) to design robot behaviours. The antecedents of the FLCs are pre-designed, while their consequen...
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ISBN:
(纸本)0780378660
This paper presents a Genetic Algorithm (GA) approach to evolving robot behaviours. We use fuzzy logic controllers (FLCs) to design robot behaviours. The antecedents of the FLCs are pre-designed, while their consequences are learned using a GA. The Sony quadruped robots are used to evaluate proposed approaches in the robotic football domain. Two behaviours, ball-chasing and position-reaching, are studied and implemented. An embodied evolution scheme is adopted, by which the robot autonomously evolves its behaviours based on a layered control architecture. The results show that the robot behaviours can be automatically acquired through the GA-based learning of FLCs.
The Beowulf cluster approach to parallel computation offers a potentially cheap and robust source of computational power for high complexity algorithms in robotics. The challenge is to integrate this approach with the...
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ISBN:
(纸本)9781424407897
The Beowulf cluster approach to parallel computation offers a potentially cheap and robust source of computational power for high complexity algorithms in robotics. The challenge is to integrate this approach with the mobility and time critical response constraints of many robotic algorithms. The key contributions of this paper are: (1) introduction of a computational architecture for integrating a cluster into the control architecture of one or more robots, (2) a cluster implementation of Thrun et al's Concurrent Localization and Mapping (CML) algorithm, and (3) presentation of results to illustrate the performance of the implemented CML algorithm and validate the architectural approach.
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