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This paper presents a novel Chinese calligraphy and painting system, which servers as an expressive vehicle for interactively creating Chinese traditional calligraphy and ink-wash painting works. We developed a calligraphy-brush m...
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This paper presents a novel Chinese calligraphy and painting system, which servers as an expressive vehicle for interactively creating Chinese traditional calligraphy and ink-wash painting works. We developed a calligraphy-brush model which gives the user natural control of complex calligraphy-brush strokes. This model enhances the realistic sense of the user's manipulating the pen with the pressure sense. We also develop an ink-wash painting model which simulates Tuiyun - a unique Chinese ink-wash painting technique. User feedback has shown that the system is able to create vivid art works easily and smoothly.
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摘要 :
This paper presents a novel Chinese calligraphy and painting system, which servers as an expressive vehicle for interactively creating Chinese traditional calligraphy and ink-wash painting works. We developed a calligraphy-brush m...
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This paper presents a novel Chinese calligraphy and painting system, which servers as an expressive vehicle for interactively creating Chinese traditional calligraphy and ink-wash painting works. We developed a calligraphy-brush model which gives the user natural control of complex calligraphy-brush strokes. This model enhances the realistic sense of the user's manipulating the pen with the pressure sense. We also develop an ink-wash painting model which simulates Tuiyun - a unique Chinese ink-wash painting technique. User feedback has shown that the system is able to create vivid art works easily and smoothly.
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摘要 :
This paper presents a novel Chinese calligraphy and painting system, which servers as an expressive vehicle for interactively creating Chinese traditional calligraphy and ink-wash painting works. We developed a calligraphy-brush m...
展开
This paper presents a novel Chinese calligraphy and painting system, which servers as an expressive vehicle for interactively creating Chinese traditional calligraphy and ink-wash painting works. We developed a calligraphy-brush model which gives the user natural control of complex calligraphy-brush strokes. This model enhances the realistic sense of the user's manipulating the pen with the pressure sense. We also develop an ink-wash painting model which simulates Tuiyun - a unique Chinese ink-wash painting technique. User feedback has shown that the system is able to create vivid art works easily and smoothly.
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The Engine Test Bench system needs to tune the PID parameters every time the engine or dynamometer is replaced. In order to realize the self-tuning of PID parameters, a kind of Wang-Mendel algorithm (WM) which is improved by the F...
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The Engine Test Bench system needs to tune the PID parameters every time the engine or dynamometer is replaced. In order to realize the self-tuning of PID parameters, a kind of Wang-Mendel algorithm (WM) which is improved by the Fuzzy C-Means Clustering (FCM) and Genetic Algorithm (GA) is applied to the system. According to the characteristics of the Engine Test Bench system, Data of different characteristics is selected to train the prediction model, so as to predict the PID parameters. This paper first introduces the control structure of the Engine Test Bench system, next introduces the fuzzy prediction model, and then uses the FCM algorithm for data mining and GA to optimize the weight in the WM algorithm. Finally, the prediction model is obtained and the prediction results are used in the actual engineering for testing. The results show that the improved algorithm has higher accuracy and practicability.
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摘要 :
The Engine Test Bench system needs to tune the PID parameters every time the engine or dynamometer is replaced. In order to realize the self-tuning of PID parameters, a kind of Wang-Mendel algorithm (WM) which is improved by the F...
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The Engine Test Bench system needs to tune the PID parameters every time the engine or dynamometer is replaced. In order to realize the self-tuning of PID parameters, a kind of Wang-Mendel algorithm (WM) which is improved by the Fuzzy C-Means Clustering (FCM) and Genetic Algorithm (GA) is applied to the system. According to the characteristics of the Engine Test Bench system, Data of different characteristics is selected to train the prediction model, so as to predict the PID parameters. This paper first introduces the control structure of the Engine Test Bench system, next introduces the fuzzy prediction model, and then uses the FCM algorithm for data mining and GA to optimize the weight in the WM algorithm. Finally, the prediction model is obtained and the prediction results are used in the actual engineering for testing. The results show that the improved algorithm has higher accuracy and practicability.
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This paper presents our contribution to the Offensive Language Classification Task (English SubTask A) of Semeval 2020. We propose different Bert models trained on several offensive language classification and profanity datasets, ...
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This paper presents our contribution to the Offensive Language Classification Task (English SubTask A) of Semeval 2020. We propose different Bert models trained on several offensive language classification and profanity datasets, and combine their output predictions in an ensemble model. We experimented with different ensemble approaches, such as SVMs, Gradient boosting, AdaBoosting and Logistic Regression. We further propose an under-sampling approach of the current SOLID dataset, which removed the most uncertain partitions of the dataset, increasing the recall of the dataset. Our best model, an average ensemble of four different Bert models, achieved 11th place out of 82 participants with a macro F1 score of 0.91344 in the English SubTask A.
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摘要 :
This paper presents our contribution to the Offensive Language Classification Task (English SubTask A) of Semeval 2020. We propose different Bert models trained on several offensive language classification and profanity datasets, ...
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This paper presents our contribution to the Offensive Language Classification Task (English SubTask A) of Semeval 2020. We propose different Bert models trained on several offensive language classification and profanity datasets, and combine their output predictions in an ensemble model. We experimented with different ensemble approaches, such as SVMs, Gradient boosting, AdaBoosting and Logistic Regression. We further propose an under-sampling approach of the current SOLID dataset, which removed the most uncertain partitions of the dataset, increasing the recall of the dataset. Our best model, an average ensemble of four different Bert models, achieved 11th place out of 82 participants with a macro F1 score of 0.91344 in the English SubTask A.
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Key agreement protocol is crucial in providing data confidentiality and integrity to subsequent communications among two or more parties over a public network. In 2007, Wang-Cao have proposed an escrow-free certificate-based authe...
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Key agreement protocol is crucial in providing data confidentiality and integrity to subsequent communications among two or more parties over a public network. In 2007, Wang-Cao have proposed an escrow-free certificate-based authenticated key agreement protocol and claimed it to be secure. However, we discover that their protocol does not satisfy an important security feature that is the known session-specific temporary information security. In this paper, we discuss this problem in depth and propose a slight modification to their original scheme in order to satisfy the missing security property.
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An algorithm for constructing an extension of the close quartic Wang-Ball curves, which are tangential to the given polygon, is described. The control points of an extension of the close quartic Wang-Ball curves to be constructed ...
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An algorithm for constructing an extension of the close quartic Wang-Ball curves, which are tangential to the given polygon, is described. The control points of an extension of the close quartic Wang-Ball curves to be constructed are computed simply by using the vertices of the given polygon. The constructed curves are shape-preserving to the polygon. The local modification to the extension of the close quartic Wang-Ball curves can be completed by simply adjusting the corresponding control parameters. One example is also given.
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