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Real-time Magnetic Resonance Imaging (rtMRI) leads to the dynamic observation of hidden processes of articulation in an unprecedented way. The non-invasive image acquisition nature of MRI combined with enhanced anatomical discrimination made rtMRI the reference in capturing vocal tract configurations during speech production. However, this development also unveiled challenges, such as the shape extraction...
In this paper, we propose a new way of doing formation obstacle avoidance using a combination of Constraint Based Programming (CBP) and Rapidly Exploring Random Trees (RRTs). RRT is used to select waypoint nodes, and CBP is used to move the formation between those nodes, reactively rotating and translating the formation to pass the obstacles on the way. Thus, the CBP includes constraints for both...
Atherosclerosis is a disease responsible for millions of deaths each year, primarily due to heart attack and stroke. Magnetic resonance (MR) imaging is a non-invasive method that can be used to analyze the carotid artery and detect signs of atherosclerosis. Most MR methods acquire high contrast, static images. These methods, however, are sensitive to artifacts from cardiac motion, produce time-averaged...
Surface-mounted permanent magnet (SPM) machine is widely applied in industry application because of its high torque density, high efficiency and simple rotor structure. This study presents a parametric design plane, which makes the desired machine performance visualized during the machine design process. Based on that, a new parametric design method is introduced to simplify the design procedure of...
The quality of life of people is increasing together with the developing technologies. One of the most important factors affecting daily life is smart cities. The quality of life of people is positively affected by emerging this concept in recent years. Autonomous vehicles confront with the term of the smart city and have become even more popular in recent years. In this study, a system of traffic...
Active shape model is widely used for facial feature localization. Regarding the traditional ASM algorithm can't describe the object shape precisely, an improved ASM algorithm is proposed. At first, we establish shape model and use PCA (Principle Component Analysis) to transform high-dimensional data to lower dimensions. Another work is to establish local texture model giving sample points with different...
Fast and robust 3D reconstruction of facial geometric structure from a single image is a challenging task with numerous applications, but there exist two problems when applied "in the wild": the 3D estimates are unstable for different photos of the same subject; the 3D estimates are over-regularized and generic. In response, a robust method for regressing discriminative 3D morphable face...
This paper presents a novel four-limbed robot, WAREC-1 having high locomotion ability with versatility in locomotion styles. At disaster sites, there are various types of environments where a robot must move such as rough terrain with possibility of collapse, narrow places, stairs, vertical ladders and so on. WAREC-1 moves in hazardous environments by changing locomotion styles: bipedal/quadrupedal...
Intelligent automobiles and advanced driver assistance systems (ADAS) are some of the major technological developments that affect human daily life. Today, many studies are being generated to develop state of the art transportation systems. The general objective in these studies is to cope with negative effects of traffic. In this work, our aim is to contribute to the development of ADAS by determining...
This survey highlights issues in clustering which hinder in achieving optimal solution or generates inconsistent outputs. We called such malignancies as dark patches. We focus on the issues relating to clustering rather than concepts and techniques of clustering. For better insight into the issues of clustering, we categorize dark patches into three classes and then compare various clustering methods...
The frequent occurrence of road congestion and traffic accidents has affected people's travel efficiency and travel safety. Traffic sign recognition has become one of the key research objects in intelligent transportation system. This paper studies the identification of road traffic signs based on video images. First of all, collected image will be image preprocessing with image reduction, brightness...
In this paper we present a skeleton-free Kinect system to estimate body mass index (BMI) of human bodies. Unlike other systems in the literature, the proposed system does not require a scale to measure the weight. The weight of observed subjects are estimated using body surface area (BSA) regression. The proposed system employs the state-of-the-art deep residual network to extract meaningful features...
In this article, the efficiency of Kalman's filter to classify moving parts is shown. A SCARA robot working cell was designed and built to accomplish this task. The main goal is to classify parts that are being carried on a conveyor belt at constant speed according to their shape or color. The operation of the Kalman's filter is described, as well as the mathematical equations to develop the algorithm...
An important goal for the Japanese economy involves increasing the export of fruits. Especially, the export of peaches to Taiwan is an important part of trade for Japan. However, the peach fruit moth poses a serious problem. The moth is not native to Taiwan. Therefore, the moths that are exported with peaches may cause ecological damage in Taiwan. We are in the process of developing a peach fruit...
The ECG (electrocardiogram) signal measurement in a portable device faces a big challenge to avoid noise. Baseline wandering is one of them. In this study, we proposed a modified step-size of NLMS adaptive filter to eliminate baseline noise from ECG signals. The designed method mainly adjusts initial filter step-size to reduce distortion of original ECG signals characteristic after eliminate baseline...
In this study we provide our methodology and implementation strategy of Sketchnoting in Freshman Engineering and Technological Literacy classes. The objective is to improve students' learning, visualization, and communication proficiencies, as well as to foster advancement in knowledge retention, and critical thinking. This study provides the motivation, supporting research background, design, and...
In this paper, we analyze the performances of the Cell Averaging based on Lookup Tables (CA-LT) detector considering distributed targets embedded in Pareto distributed clutter. Assuming that the clutter parameters are not a priori known, the detector's structure is associated to an estimation approach that estimates the clutter parameters. The latter are used to select the suitable threshold factor...
This work-in-progress paper suggests that engineering recruitment messaging and engineering pedagogy send mixed messages to students. We describe the early stages of a critical discourse analysis study that shows recruitment messaging often portraying engineers as powerful agents of change, while the phrasings of pedagogical documents such as textbooks and homework assignments often position engineering...
Digital image processing techniques are commonly employed for food classification in an industrial environment. In this paper, we propose the use of supervised learning methods, namely multi-class support vector machines and artificial neural networks to perform classification of different type of almonds. In the process of defining the feature vectors, the proposed method has relied on the principal...
The purpose of this paper is to design a fuzzy supervisory PID controller using an improved genetic algorithm. The fuzzy controllers are widely used in the recent years due to their results in both tracking and perturbation rejection, however the most difficult step in designing a fuzzy controller is the fuzzyficaion stage where we have to determine the rules and the shape of membership functions...
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