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This paper describes a method for extracting relevant tokens of entity from semi-structured administrative documents. This method is used for mislabeling correction by employing the entity tokens physically close in a document. Firstly, the entities are labeled. Secondly, each entity is modeled by a tokens structure graph in which the nodes represent the tokens and the arcs represent the distances...
In recent, some researches are being developed in medical applications to improve the accuracy of the pose and the joint of the patient. One of the famous existed methods for measuring the matching rate of the pose is by using the rotation angle of the joint. However, there is a problem that the rotational direction is missing when we only consider the rotation angle of the joint. Thus, we propose...
Nowadays, owing to the growth of quantity of data, the data mining techniques have been required on web exceedingly for extracting information from the data. Classification of text in data mining is very important and has been a hot issue on the topic. Especially, ontological taxonomy classification is important for more intelligent information reasoning. As it relates to data distribution of classes...
In this paper, we propose the WUN-set (Weighted Utility Nodeset) structure, an extension of the Nodeset structure, to solve the problem of mining frequent weighted utility itemsets from a quantitative database. Firstly, some theorems are developed to compute quickly the weighted utility support of an itemset. An algorithm is then proposed for the fast mining frequent weighted utility itemsets. The...
Sohrabi and Barforoush proposed the BVBUC (Bitwise vertical bottom up colossal) algorithm for mining colossal patterns based on a bottom up scheme. It, however, spends more time to check subsets and supersets, because it generates a lot of candidates and consumes more memory usage to store these. In this paper, we propose a new method for mining colossal patterns. Firstly, the CP (Colossal Pattern)-tree...
Time series classification is one of the most well-known grand challenges in many different application domains. Time series classification is the task of assigning a discrete class label to an unclassified time series. Three important key points should be considered in the design of time series classifiers: the feature expression for the time series, the definition of the distance function, and the...
This paper describes experimental results of extracting features of students majoring in humanities and sciences, in order to show factors that influence the selection when students select their course, i.e. humanities or sciences. In the research, data are collected through questionnaires to students. The questionnaire includes questions to ask about the lifestyle, and subjects studied in schools...
We suggested a joint algorithm for opportunistic spectrum and time sharing in cognitive radio (CR) wireless mesh networks (WMNs) in this paper. The problem was formulated using linear programming and solved by the simplex-II method. The flow optimization problem was first developed for grid topology of CR WMNs. Results showed optimized flow of the CR WMNs with ideal interference free link scheduling...
An overwhelming phenomena across natural systems, social systems and ecosystems is discovered in recent years. The phenomena is coined by many terms, such as 1/f noise, Zipf-laws, or scale-free, while power-law distribution of various events or metrics is the fundamental fact that exists in every complex system. It is believed that there exist a mechanism to rule the dynamics of complex system and...
In this paper, a new range identification technique for a calibrated paracatadioptric system mounted on a moving platform is developed to recover the range information and the three-dimensional (3D) Euclidean coordinates of a static object feature. The position of the moving platform is assumed to be measurable. To identify the unknown range, first a function of the projected pixel coordinates is...
A computer-aided system for transformation of mathematical figures into tactile graphics is useful for the visually impaired when they learn mathematics and science. To develop such a system, a study of mathematical figure recognition techniques is needed. It is natural to assume that (1) a mathematical figure includes characters and mathematical formulas to explain lines or curves that are graphical...
Vessel dynamics video monitoring system is one of the most significant components in port safety and traffic management. This paper intends to discuss the key points in the design of the system: firstly, the data concerning vessel dynamics position are acquired via AIS; then intelligent video tracking system automatically drives intelligent spherical cameras to monitor vessels in port. Also system...
We describe a system for scheduling a conference based on incomplete information about available resources and scheduling constraints. We explain the representation of uncertain knowledge and related common-sense rules, which allow reasoning based on uncertain and partially missing data.
Classification the 3D models in the graphical environment is a key problem with applications in computer graphics, virtual reality, especially the intelligent virtual human for humanoid animation. The challenging aspects of this problem are to find a suitable shapes' feature that can be used to compare them quickly and a proper method to classify the models on the features. We propose a method of...
Sailing vessels such as sailboats but also landyachts are vehicles representing a real challenge for automation. However, the control aspects of such vehicles were hitherto very little studied. This paper presents a simplified dynamic model of a so-called landyacht allowing to capture the main elements of the behavior of surface sailing vessels. We then propose a path generation scheme and a controller...
End to end cross-domain network communications (personal area network to a local area network, etc.) can be achieved in different ways. This does not necessary mean it is done efficiently. We believe that the interconnection end to end performance depends on factors such as framing, encapsulation, MAC layer protocols, transmission channel and queuing disciplines. This survey presents the main research...
It is still a challenging problem for tracking objects in complex visual situations, such as an object is occluded or the object's color features are very similar to its background. Therefore, a novel visual tracking algorithm is proposed for multiple cues fusion based on three common cues: color, target position prediction and motion continuity in this paper. Color feature is free of translation...
In this paper, the tracking control of a underactuated quadrotor aerial vehicle is presented where position and yaw trajectory tracking is achieved using feedback control system. The control design is complicated by considering parametric uncertainty in the dynamic modeling of the quadrotor aerial-robot. Robust control schemes are then designed using a Lyapunov-based approach to compensate for the...
In this paper, a novel Euclidean position estimation technique using a single uncalibrated camera mounted on a moving platform is developed to asymptotically recover the three-dimensional (3D) Euclidean position of static object features. The position of the moving platform is assumed to be measurable, and a second object with known 3D Euclidean coordinates relative to the world frame is considered...
In this study, we hypothesized that the static standing weight bearing steadiness and dynamic walking weight shifting stability could be improved by providing neuromuscular facilitation using subsensory stimulation and visual-auditory biofeedback in amputee respectively. To test this hypothesis, a computer protocol with sensory feedback neuromuscular facilitation system was developed and used for...
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