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Web entities are the building blocks of human knowledge and users are making decisions among vast varieties of entities. For example, recommendation systems generate lists of entities to users, but seldom show the reasons of recommendation such as the uniqueness of each item to assist user decision making. In this paper, we mathematically define Web entity uniqueness and uniqueness patterns, based...
Tandem repeats in DNA sequences are extremely relevant in biological phenomena and diagnostic tools. Computational programs that discover these tandem repeats generate a huge volume of data, which is often difficult to decipher without further organization. In this paper, we describe a new method for post-processing tandem repeats through clustering. Our work presents multiple ways of expressing tandem...
In this paper a new method of eye blink detection and analysis is proposed. The described technique is based on a combination of spatial and temporal derivatives calculated in video sequences acquired with a high speed camera. The pixels of each frame are divided into two groups according to the direction and magnitude of the hybrid gradient vectors and the distance between their centers of gravity...
This study focuses on the negotiation in the financial markets, specifically in programming an algorithm to trade automatically (without human intervention) in the foreign exchange market (Forex). The platform used in this study was the Meta Trader (version 5), which allows for this kind of negotiation. The main objective was to conclude about the effectiveness of anewly developed strategy for automatic...
The spectral subtraction method is a classical approach for enhancement of degraded speech. The basic principle of this technique is to estimate the short-time spectral magnitude of speech by subtracting estimated noise from the noisy speech spectrum and to combine it with the phase of the noisy speech. Besides reducing the noise, this method generates an unnatural and unpleasant noise, called remnant...
Aiming at the problems of the global image matching, an area based on image matching algorithm is presented. In the paper, the principle of area based image matching is given firstly and the algorithm is analyzed in detail. In the algorithm, in order to diminish the influence of the segmentation to image matching, color key feature points are chosen as the feature of image and weighted distance measurement...
In many decision problems, there are two levels of choice: The first one is strategic and the second is tactical. We formalize the difference between both and discuss the relevance of the bandit literature for strategic decisions and test the quality of different bandit algorithms in real world examples such as board games and card games. For exploration-exploitation algorithm, we evaluate the Upper...
Department of Defense (DoD) intelligence, surveillance, and reconnaissance (ISR) assets; including manned and unmanned airborne, space-borne, maritime, and terrestrial systems; play critical roles in support of current and future military operations. However, military services and defense agencies face an ever growing challenge of effectively processing, exploiting, and disseminating ISR data from...
Teaching first-year students is a balance between introducing technical content and providing perspective for students to forge connections to the context of what engineers do. Making the possible impact of engineers real and visible to introductory students in an authentic manner can be challenging. This paper describes the implementation and impact for a Traffic Simulation engineering design challenge...
Performance of automatic face recognition algorithm has increased considerably over the past decades. However, face recognition under changes in lighting conditions remains a challenging issue for computers. In this paper, we propose a novel face recognition algorithm inspired by information taken from human fixation patterns. We augment a LGBP (Local Gabor Binary Pattern) algorithm - a well-known...
In this paper we propose a way of using the Audio-Visual Description Profile (AVDP) of the MPEG-7 standard for stereo video content description. Our aim is to provide means of using AVDP in such a way that 3D video content can be correctly and consistently described. Since, AVDP semantics do not include ways for dealing with 3D video content, a new semantic framework within AVDP is proposed. Finally,...
Gene expressions measured using microarrays usually encounter the problem of missing values. Leaving this unsolved may critically degrade the reliability of any consequent down-stream analysis or medical application. Yet, a further study of microarray data might be impossible with many analysis methods requiring a complete data set. This paper introduces a new methodology to impute missing values...
Human posture classification is one of the most challenging issues in smart homecare system. To achieve high classification accuracy, we propose a new algorithm, called range-based algorithm. In this paper, a range means the distance between body parts. The ranges between body parts are investigated to classify the human posture and to detect a possible fall-down accident. Furthermore, we also proposed...
Haptic shared control (HSC) has been widely used in human-robot interaction systems, such as car driving and assistive robots. However, the stability analysis of HSC is not well investigated in current literature, especially for the nonlinear systems. In this paper, the stability of HSC for nonlinear systems is analyzed based on the set theory and convex analysis. The authority weight calculation...
Pedestrian detection is a significant task in driver assistance systems. This paper presents an in-vehicle system for pedestrian detection. To speed up computation, we parallel implemented the state of the art detection algorithm on a NVIDIA GPU. The experiments demonstrate that our implementation can achieve accurate and real time detection.
This work proposes an intelligent and interactive virtual fence system for security management in a danger-or accident-prone area. The proposed system is designed to be realized in an outdoor and wide-area park. With the proposed system, users can visually and arbitrarily define the polygonic alert area for the sake of security. The Gaussian Mixture Model (GMM) and AdaBoost algorithms are modified...
CAPTCHA is one of the Turing tests used to classify human users and automated scripts. Existing CAPTCHAs, especially text-based CAPTCHAs, are used in many applications, however they pose challenges due to language dependency and high attack rates. In this paper, we propose a face recognition-based CAPTCHA as a potential solution. To solve the CAPTCHA, users must correctly find one pair of human face...
In this work, personality profiles are used to develop parameterized bot behaviors. While the personality profile structure was originally designed as a descriptive tool for human behavior, as used here it is a generative tool, allowing a plurality of different behaviors to result from a single rule set. This paper describes our use of the Five-Factor Model of personality to develop a bot that plays...
Based on analyzing vehicle path planning space representation, polygon is used for expressing obstacles. Geometry Algorithm is introduced for path planning. Although the final path is not the best route, it is accordance with human vision. Simulation result proves that the algorithm has better practicability.
Information fusion in biometric systems, either multimodal or intramodal fusion, usually provides an improvement in recognition performance. This paper presents a novel score-level fusion scheme called boosted score fusion. The proposed framework is a two-stage design where an existing fusion algorithm is adopted at the first stage. At the second stage, the weights obtained by the AdaBoost algorithm...
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