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The process of human's blink expressing deep information of mind has uncertainties of fuzziness and randomness. A cloud theory-based method is proposed to realize uncertainty control of virtual human's blink. Eyes' maximal open angle cloud and blink interval cloud are designed. A cloud-based blink control algorithm is proposed. Results of comparing it with certainty method show that the proposed algorithm...
The miR-15/107 group of miRNA gene has been recognized as an important regulatory mechanism for main biochemical pathways in human. It has significant role to play in regulating gene expression that relevant to cardiovascular diseases, cancers and neurodegenerative diseases. Notwithstanding the fact that miRNA has strong implication on human health, an exhaustive taxonomic classification for the miR-15/107...
The use of short interfering RNA (siRNA) is an emerging powerful method for gene silencing. siRNA is a short RNA sequence that targets mRNA and causes the sequence-specific degradation of the mRNA. Despite its importance, few efforts have been made to develop algorithms and computational tools to detect genes controlled by siRNA process. This paper introduces an algorithm that uses an intelligent...
It is possible, using a smart phone or similar device, to collect ECGs from patients in remote locations, storing the results to be analyzed later. In this situation, however, the person collecting the ECG may not have the time or the necessary training to evaluate the quality of the recording at the time it is collected. It is useful for the device itself to analyze the recorded signals and provide...
This paper addresses color correction of the panoramic image for mobile multimedia devices. To compensate the visible color difference caused by defects of optical systems near a seam which is a connected path of low energy pixels between images, we propose an adaptive blending algorithm based on the human visual system. In the proposed algorithm, a blending range is adjusted according to the color...
To suppress human tremor, researchers in this field devote themselves to develop a wearable tremor-suppression orthosis, but one of the most important difficulties lies in how to obtain real-time filtering and estimation of the tremor from the input signal. In this article, Fourier Linear Combiner(FLC) and a series of derived algorithms are analyzed first, then an improved algorithm-Shifted Band-limited...
This paper presents an initial system design approach for a data association process in the domain of counterinsurgency where multiple streaming soft (textual message) observation reports are a critical input to the process. An overview of the system includes processes from intelligent input control of soft data to the formation of associated, merged messages that are based on a methodology employing...
Counter Insurgency operations require the ability to develop accurate representations of the physical environment and the human landscape in various conditions (e.g., urban and non-urban, day and night, and various weather conditions). We are developing innovative sensor suites and processing techniques suitable for such domains as part of a larger effort to support human-centric hard/soft data fusion...
A new dosing system is proposed which is based on the mathematical model for polycystic ovary syndrome (PCOS), a kind of sterilities. The system enables us to introduce a remedy for PCOS suitable for an individual patient. This paper shows the outline of the system and its performance by computer simulations.
In this paper, we present a novel human activity recognition approach that only requires a single video example per activity. We introduce the paradigm of active video composition, which enables one-example recognition of complex activities. The idea is to automatically create a large number of semi-artificial training videos called composed videos by manipulating an original human activity video...
In this paper, based on the leg movement mode analysis, a novel human computer interaction (HCI) scheme with which users can interact with computer is presented. Firstly, an efficient valley point location algorithm is proposed to detect and separate the left and right leg, then an extended Mean Shift tracking algorithm with Kalman filter is applied to track the leg's movement, finally the movements...
This paper describes an algorithm for semi automatically creating an emotion dictionary using WordNet. The algorithm takes as input a set of seed words that have had emotion information assigned as well as WordNet sense information. From this list an initial dictionary is automatically created using the various relations found within WordNet. Then, various correction stages are performed where parts...
Microbes found on the skin are usually regarded as pathogens, potential pathogens or innocuous symbiotic organisms. Advances in microbiology and immunology are revising our understanding of the molecular mechanisms of microbial virulence and the specific events involved in the host-microbe interaction. A microbial community similarity function of skin sites was defined to analysis the topographical...
The paper first introduces the concept of organizational factors in the socio-technical system and the basic theory of Bayesian Network and then discusses the algorithm of structure learning of Bayesian network. A new algorithm base on dependency analysis is proposed to effectively reduce the number of detecting condition independence. It uses heuristic cutset searching algorithm and orients all the...
Conversion from another language to native language is highly demanding due to increasing the usage of web based application. Firstly, the respective sentence of a native language is converted to Universal Networking Language (UNL) expressions and then UNL expressions can be converted to any native language. Already UNL system is developed for most of the languages, but there are no algorithms to...
We consider an investment problem where n possible entries are to be selected by a single investment company.There is a capital resource limition C for the company.For every possibly selected entry i ∈ {1, 2, ··· , n},there is a required operation capital Oi, a market life Li,a required operation finished time Ti and a currently potential profit Pi which could be only obtained by the company Pi {(1...
In order to objectively and automatically evaluate the degree of digital image scrambling, introduce the grey relation analysis theory, the paper proposes a new evaluation method of image scrambling. In the method, the definition and the feature of the ideal scrambling image are analyzed first, whose histogram is summarized at the same time. And then, the scrambling image is divided into some sub-images...
An efficient algorithm for non-rigid image registration is proposed. The proposed method consists of two-stage registration process, which is based on affine transformation in both local and global registration. Numerical examples demonstrated that the proposed method provides more accurate registration results than global registration methods.
In this paper character recognition in Saudi Automobile License Plates is described. Due to special properties of Saudi license plates, simpler procedures as compared to the ones used for Lebanese plates have been developed. A limited character set for recognition enables the development of smaller recognition trees. The process relies on processing pixels along vertical and horizontal lines taken...
In this paper we present a divisive hierarchical method for the analysis and segmentation of visual images. The proposed method is based on the use of the k-means method embedded in a recursive algorithm to obtain a clustering at each node of the hierarchy. The recursive algorithm determines automatically at each node a good estimate of the parameter k (the number of clusters in the k-means algorithm)...
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