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The diagnosis of diffuse gliomas requires the careful inspection of large amounts of visual data. Identifying tissue regions that inform diagnosis is a cumbersome task for human reviewers and is a process prone to inter-reader variability. In this paper we present an automatic method for identifying critical diagnostic regions within whole-slide microscopy images of gliomas. We frame the problem of...
Currently, most products are designed to support their users using them consciously. In fact, there are four stages of learning according to the relationship of consciousness and competency: 1) unconscious incompetence, 2) conscious incompetence, 3) conscious competence, and 4) unconscious competence. The third stage is considered the most perfect due to users' competency and consciousness whilst...
Exploring the possibility of using technology for grain quality classification is necessary for the consumer market to protect consumers who are susceptible to any form of contamination that may occur in the market. Although some research has been reported on the classification of paddy seeds, no published work is found on the classification of milled rice which is the principal food in many countries...
The lack of reliable mechanical data on coronary arteries and, more specifically, on their wall strength hampers the application of numerical models and simulations to vascular problems, and precludes physicians from knowing in advance the response of coronary arteries to the different interventions. Studies of the mechanical properties of coronary arteries have been carried out almost exclusively...
In recent years there has been a rapid growth in patient monitoring and medical data analysis using a number of computer-aided systems based on expert systems, fuzzy logic and many other intelligent techniques. Fuzzy logic-based expert systems have shown potential to improve clinician performance by imitating human thought processes in complex circumstances and accurately executing repetitive tasks...
Phantom limb pain frequently follows amputation. Currently there is no fully effective treatment available. Our aim is to develop an innovative Human Machine Interface (HMI) where we apply multi-channel microstimulation to the nerve stump of an amputee subject to manipulate the phantom limb sensations and explore the possibility of using microstimulation as a treatment for phantom limb pain.
Athetosis is a movement disorder that afflicts numerous persons with cerebral palsy, resulting in significant problems in their control of computer interfaces. As a step toward increasing the efficiency of icon selection by computer users with athetosis, we have implemented three techniques to reduce the time of target acquisition: transition assistance via directional gain variation based on target...
The lack of reliable mechanical data on coronary arteries hampers the application of numerical models to vascular problems, and precludes physicians from knowing in advance the response of coronary arteries to the different interventions. In this work, the mechanical properties of human coronary arteries have been characterized. Whole samples from human right (RC) and left anterior descending (LAD)...
The effect of heel height on plantar pressure of human forefoot was tested by using the Novel insole system. The test results demonstrate that the plantar pressure difference of each part of forefoot in walking state was ordered from large to small as the second metatarsal>the first metatarsal>the third metatarsal>the first toe≫the fourth metatarsal≫the fifth metatarsal>the region including...
We present a low-complexity algorithm for intrusion detection in the presence of clutter arising from wind-blown vegetation, using passive infra-red (PIR) sensors in a wireless sensor network (WSN). The algorithm is based on a combination of Haar transform (HT) and support-vector-machine (SVM) based training and was field tested in a network setting comprising of 15-20 sensing nodes. Also contained...
This paper presents a novel method on coloring the grayscale images. For this purpose, a combination of artificial neural networks and some image processing algorithms was developed to transfer colors from a user-selected source image to a target grayscale image. According to the results of this combining method, a survey where volunteers were asked to rate the plausibility of the colorings generated...
In this paper, we investigate an important but understudied problem, gender classification from human gaits. And we have proved the ability of using GEI (Gait Energy Image) as a representation of human gait for arbitrary view angles. Using GEI as a discriminative feature, we construct angle classifiers and gender classifiers from different approaches. Experiments show that our system achieved a good...
We introduce a mathematical framework, based on the L∞ norm distance metric, to describe human interactions in a visual data mining environment. We use the framework to build a classifier that involves an algebra on hyper-rectangles. Our classifier, called VisClassifier, generates set-wise rules from simple gestures in an exploratory visual GUI. Logging these rules allows us to apply our analysis...
Partitioning polygonal object into meaningful parts is one of the key steps to recognize this kind of object. Psychologist thinks that when people recognize object, they first decompose object recursively into several parts to recognize, and then combine the parts as a whole to know what the object is. So how to partition object is an important research point in Pattern Recognition and Computer Graphics...
We consider the problem of identifying obscure chat-like botnet command and control (C & C) communications, which are indistinguishable from human-human communication using traditional signature-based techniques. Existing passive-behavior-based anomaly detection techniques are limited because they either require monitoring multiple bot-infected machines that belong to the same botnet or require...
In this paper, we investigate some specific acoustic problems of the computer assisted language learning (CALL) system by modifying the acoustic model and feature under the speech recognition framework. At first, in order to alleviate the distortion of channel and speaker, speaker-dependent Cepstrum Mean Normalization (Speaker CMN) is adopted, by which the average correlation coefficient (ACC) between...
Firm resources play crucial role in the promotion of dynamic capabilities. This paper began with resources and explored the promotion mechanism of firm financial resources, human resources, technological resources and networking resources on firm dynamic capabilities based on 153 valid questionnaires. The empirical evidence shows that firm financial resources and human resources are positively associated...
Web-based applications are growing in complexity and criticality, increasing the need for their precise validation. Regression testing is an established approach for providing information about the quality of an application in the face of recurring updates that dominate the web. We present techniques to address a key challenge of the automated regression testing of web-based applications. Innocuous...
In the internal control evaluation of commercial banks, the existence of uncertainty and incompleteness of information available for evaluation indicates the gray nature of the evaluation system, which makes it feasible to use gray evaluation in the internal control evaluation of commercial banks. In view of the common flaws of evaluation on internal control in use of the information of various gray...
In this paper, we propose a large margin framework to learn the local instance-to-class distance function using local patch-based feature vectors, which satisfies the property that distance from instance to its own class should be less than the distance to other class. This instance-to-class distance is modeled as the weighted combination of the distance from every patch in test image to its nearest...
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