This paper presents the architecture of system that has been developed for practical verification of the real-time control algorithms performance intended for servicing mobile platform. The system has been implemented...
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ISBN:
(纸本)9781479987016
This paper presents the architecture of system that has been developed for practical verification of the real-time control algorithms performance intended for servicing mobile platform. The system has been implemented using the hardware-software framework developed within RobREx project. This framework is a composition of a well integrated software tools and hardware devices dedicated for developing a complex, distributed real-time control systems. The framework supports a component-driven development paradigm, provides a ready-made application building blocks and introduces standard interfaces. The elaborated system is composed of several software components that together with hardware devices constitutes the fully functional, experimental testbed that allows testing of control algorithms in real-time.
Nowadays software related tasks in experimental vehicle development are getting more and more attention. These tasks not only include the final product related software solutions such as the motor and the vehicle cont...
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ISBN:
(纸本)9781467379397
Nowadays software related tasks in experimental vehicle development are getting more and more attention. These tasks not only include the final product related software solutions such as the motor and the vehicle control algorithm or the telemetry system but even in the development process, applications are needed - for example on the motor test bench. The paper presents our ideas and solutions to software related tasks in vehicles for the whole development and validation process.
Promotion of pure electric vehicle (EV) has become a trend, of which the braking performance is very important. In this paper, by using a family of curves of the relationship between adhesion coefficient and sliding r...
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In this thesis I explore the place of the actualized utopian American alternative community of higher learning within a philosophy of human culture. I carry out such a study in order to articulate a unifying descripti...
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In this thesis I explore the place of the actualized utopian American alternative community of higher learning within a philosophy of human culture. I carry out such a study in order to articulate a unifying description of movement; to find the “target” that orients the activity of actualized utopia, as opposed to a classificatory rule to define a mechanically determined utopian-object. Although these communities have varied in practice since the first generation of them were created in the mid-nineteenth century, I argue that they have played, and continue to play, a particular role in America. They imagine what a world beyond their own could look like; and through their resistance to the perceived status quo (on which they rely for their identity), they prefigure a world that could be. Although this world never comes fully into existence, the actualization (i.e., the process of becoming a dynamic symbolic product of culture) of these communities illuminates new possibilities for human life in the larger culture. While these actualized utopian communities often live long beyond their pre-figurative years, paradoxically their practices largely stay the same. A resistance to the perceived modern culture, and a vision of a world that offers more opportunities for life and dignity, has made these communities places that cultivate persons with a sense of agency. These communities create a sense of active consciousness; they create people who believe the world is changeable. An open humanistic and personalistic theodicy is what distinguishes these schools from a cult of domination, or an organization bent on a utopia that depersonalizes and dehumanizes the opportunities of others in service of a singular vision.
Advisors/Committee Members: Auxier, Randall
Data Mining algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniqu...
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ISBN:
(数字)9781118950807
ISBN:
(纸本)9781118950951
Data Mining algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.
With the rapid growth of various data, it is becoming increasingly important to extract useful information from big data. While the analysis tools of big data visualization is very rare, in this paper, we propose a ne...
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With the rapid growth of various data, it is becoming increasingly important to extract useful information from big data. While the analysis tools of big data visualization is very rare, in this paper, we propose a new big data visualization algorithm analysis integrated model. The model integrates the processing of big data and the visualization of data as a whole. It is a good analysis tool of timely big data visualization. We use hadoop_1.X as the data storage and use R as the compiler environment in the model. If you are skilled in R, it is easy to design kinds of paralleling algorithms, and analyze and process the kinds of big data. Secondly we design and implement a paralleled collaborative filtering algorithm with the model. Finally we analyze the various performance indicators with kinds of experiments. The indicators show that the model has good scalability and easy operability, and contains all the advantages of Map Reduce. In conclusion, the big data visualization algorithm analysis integrated model has high performance to process and visualize the big data.
Self-localization is one of the key technologies in the wireless sensor networks (WSN). Some traditional self-localization algorithms can provide a reasonable positioning accuracy only in a uniform and dense network, ...
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Self-localization is one of the key technologies in the wireless sensor networks (WSN). Some traditional self-localization algorithms can provide a reasonable positioning accuracy only in a uniform and dense network, while for a nonuniform network the performance is not acceptable. In this paper, we presented a novel grid-based linear least squares (LLS) self-localization algorithm. The proposed algorithm uses the grid method to screen the anchors based on the distribution characteristic of a nonuniform network. Furthermore, by taking into consideration the quasi-uniform distribution of anchors in the area, we select suitable anchors to assist the localization. Simulation results demonstrate that the proposed algorithm can greatly enhance the localization accuracy of the anonymous nodes and impose less computation burden compared to traditional Trilateration and Multilateration.
This paper focuses on the positioning algorithm suitable for harsh indoor environment such as manufacturing workshop in which the interferences from different directions cannot be neglected. The positioning algorithm ...
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This paper focuses on the positioning algorithm suitable for harsh indoor environment such as manufacturing workshop in which the interferences from different directions cannot be neglected. The positioning algorithm is an improved Received Signal Strength Indication- (RSSI-) based ranging method. To preprocess the RSSI data Gaussian filter and mean filter are adopted. A sector transmission model is constructed and applied to divide the area around the anchor node into several sectors, and the shadowing model of each sector is measured. Then the average of all RSSI values in a particular sector is considered as the final RSSI value for distance calculation. The calculated distances designated for trilateration are also optimized to eliminate the abnormal distances from positioning calculations. Positioning experiment is designed via ZigBee facilities. The results show that the proposed algorithm greatly improves the positioning accuracy and stability;for instance, the average positioning error is reduced from 1.32 m to 0.79 m. Moreover, this study also proves that the node position has great influence on the positioning accuracy.
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