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Given a database of spatial trajectories reporting the movement of a set of objects in a time frame, the problem is to discover the groups of objects that stay in close proximity within a geographical area for a significant time. To deal with the problem, techniques for the discovery of collective patterns, e.g. the meeting pattern, have been proposed. Such techniques, however, impose stringent constraints...
The Levy Walk (or Levy flight) is a concept fromBiomathematics to describe the hunting–behaviour of manypredatory species. It is a very efficient way to find prey in avery short time frame. We now want to use this concept ina clustering–context to – if you so will – "hunt" for clusters. We describe how we convert this concept into an efficient wayto find cluster centres by linking the data...
In this paper we present novel algorithm for the cursive style Korean handwriting synthesis method based on the shape analysis with minimized input data. Hangul (Korean Character) has the different characteristics in structure, that is, character consists of consonants and vowels like English and also it is a combination character like Chinese character. This research aims at using minimal input character...
SAX is the representative time series representation method. SAX used the PAA technique to reduce the dimension of time series. But PAA technique has the demerit that cannot represent various movement shapes of time series exactly in lower dimensional space, since its smoothing effect distorts the dynamic characteristic of time series. Therefore, this paper suggests new representation method of time...
Suppose that we are interested in classifying n points in a z-dimensional space into two groups having response 1 and response 0 as the target variable. In some real data cases in customer classification, it is difficult to discriminate the favorable customers showing response 1 from others because many response 1 points and 0 points are closely located. In such a case, to find the denser regions...
Given a set of moving object trajectories, it is of interest to find a group of objects, called a convoy, that are spatially density-connected for a certain duration of time. However, existing convoy discovery algorithms have a critical problem of accuracy; they tend to both miss larger convoys and retrieve invalid ones where the density-connectivity among the objects is not completely satisfied....
A novel mixed surface reconstruction algorithm based on re-sample is proposed to improve the reconstructed feature quality and solve the problem of surface intersection. First, the local feature scale is employed to judge the sample density of initial sample point set, and consequently the redundant sample points are deleted. Meanwhile, the necessary sample points are plugged into the deficient feature...
This paper presents a novel method for financial time series representation. The method can generate accurate and effective representation and segmentation in different resolutions and get better experimental results on real stock data.
Steganography is the means of storing information inside another message in such a way that hides informations existence. A number of steganography algorithms have been introduced using text, image, audio, video files as the cover media. Among these, text documents have been widely used for a very long time. This paper presents a new approach for steganography in Hindi texts. Considering the structure...
Having a single numerical value to represent a student's overall level of achievement is useful. At Curtin University of Technology, it is the course weighted average (CWA) - an average of percentage grades received for each course. At Virginia Tech, it is the grade point average (gpa) - an average of values based upon letter grades for courses (letters initially based upon percentage grades). To...
Relative position of object description are widely used in event understanding and computer vision tasks especially in object recognition. Use of low level features cannot give satisfactory results when high level concepts is not easily expressible in low level contents. Mostly researchers are concentrating on spatio- temporal relationship between objects or regions of an object in images. Object...
This study focuses on the issue of how kanji learners mentally ??deconstruct?? a kanji as they view it and how they may update this visual deconstruction over time as they learn kanji. The research problem deals with the question of whether or not an innovative kanji learning approach, the ??learner's visualization (LV) Approach??, assists learners in significantly updating their personal kanji deconstruction...
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...
While analyzing mobile systems we often approximate the actual coverage surface and assume an ideal cell shape. In a multi-cellular network, because of its tessellating nature, a hexagon is more preferred than a circular geometry. Despite this reality, perhaps due to the inherent simplicity, only a model for circular based random spreading is available. However, if used, this results an unfair terminal...
Much research in developmental psychology and cognitive development presumes a universal developmental trend that is independent of culture. One such trend, from object to relational knowledge, is seen over and over. However, most of this research is based on the study of children and individuals from Western cultures. This paper considers the possibility that this developmental trend might differ...
This paper proposes two different methods in order to improve the performance of traffic sign detection process. These methods are used for efficient and robust detection of red or blue colored, circular, octagonal, rectangular and triangular traffic signs. Proposed methods use both color and shape features of the traffic signs. Both of the methods gather the color and edge information of the image...
In this paper, we propose a new vision based method to recognize the entering and exiting events from video sequences via motion analysis. Without sensors, the proposed approach is invariant to body shape and clothing as a combination of edge detection, motion history image and geometrical characteristic of the human shape in MHI sequences. The proposed method includes several applications such as...
The problem of distortion is a foundational field in the research of discrete global grid. And it is an important method to assess the discrete global grid. The research history in this field and the representational work were introduced. A new method was brought forward to compute the quantities of distortion. An ideal partition model of discrete global grid was built based on the analysis of distortion...
Human key posture extraction from videos will benefit video storage, video retrieval, human action recognition, human behaviour understanding and so on. This paper presents an approach to select key postures from human action sequences using 2D information. There are two steps in the proposed method. Information measurement which is a kind of global feature of a frame is used to roughly find key posture...
By expanding communication, in some cases there is a need for hidden communication. Steganography is one of the methods used for hidden exchange of information. Steganography is a method to hide the information under a cover media such as image or text. One of the text steganography methods for Persian and Arabic texts is "La" steganography method. But that method increases the file size...
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