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MR image registration (IR) has been used in brain function analysis, voxel-based-morphometry, etc. The conventional IR methods mainly use MR signal based likelihood. However, they cannot prevent miss registration of different gyri because they do not evaluate correspondence of sulci. Also, we cannot directly apply methods for adult brain to neonatal brain because there are large differences in MR...
In this paper, we use centroid distance and axis of least inertia method for plant leaf classification. For this propose the RGB (Red, Green, Blue) image are converted to the binary image. Then, Canny operator is applied to the binary image to recognize the edges of the image before thinning the edges. After that, the boundary of the image is traced to sample the shape. Sampling helps us to avoid...
In this paper, we introduce a full fiber-to-the-home system architecture. The introduced system is used to obtain a system bit rate of 10 Gbps and 20 Gbps downstream and 5 Gbps and 10 Gbps upstream. Wavelength division multiplexing passive optical network technique is used to share the overall bandwidth between 32 users with 0.8 nm spacing between each user. To reduce the overall cost of the proposed...
The process of teaching and learning geometry should be implemented more effectively because of its importance in students' daily lives. Therefore, a study that aimed to develop activities based on Van Hiele's phases of learning geometry using Geometer's Sketchpad (GSP) software was conducted. The developed activities were then incorporated into a learning kit named Geo-V. An ADDIE model was taken...
Device-free localization (DFL) plays an important role in many applications, such as the intrusion detection. Most traditional DFL systems assume a fixed distribution of the received signal strength (RSS) changes even they are distorted by different types of targets. It inevitably causes the localization to fail if the targets for modeling and testing belong to different categories. We propose a transferring...
Scholarly impact can be measured crudely by the number of citations as a approximate indication of impact in terms of influencing other researchers, but this metric varies in applicability between disciplines. The number of citations for each publication of an author can be mapped as a graph in various ways. In doing so, certain empirical patterns may be discerned. This paper explores these patterns,...
This paper presents a method for shaping the transmit pulse of a molecular signal such that the diffusion channel's response is a sharp pulse. The impulse response of a diffusion channel is typically characterised as having an infinitely long transient response. This can cause severe inter-symbol-interference, and reduce the achievable reliable bit rate. We achieve the desired chemical channel response...
Understanding timing accuracy in humans is critical as it presents an important constraint on skilled motor performance. The limits intrinsic to the central nervous system, however, remain highly disputed and reported values range from 1ms to 9ms. Using a virtual throwing task that allowed precise control and measurement of task performance, this study explored the bounds of human timing accuracy...
Detecting brain tumors is always an important but challenging task for MRI physicists and radiologists. Many automated brain tumor detection methods have been introduced. Due to the complexity and limitations of those procedures, practical applications of those methods in clinical setting are restricted. Based on a large sample size of acquired normal human datasets, this study provided a new approach...
Automatic detection and segmentation of brain tumors in 3D MR neuroimages can significantly aid early diagnosis, surgical planning, and follow-up assessment. However, due to diverse location and varying size, primary and metastatic tumors present substantial challenges for detection. We present a fully automatic, unsupervised algorithm that can detect single and multiple tumors from 3 to 28,079 mm...
Statistical shape analysis is a widely studied topic with applications ranging in biology, anatomy, neuroscience, agriculture, paleontology, etc. In many cases, two sets of shapes are input to the algorithm and the output is a mean shape with a scalar map defined on it indicating the local discrepancy between the two groups. In this work, we propose a new shape analysis algorithm. It is able to handle...
Mining arbitrary shaped clusters in large data sets is an open challenge in data mining. Various approaches to this problem have been proposed with high time complexity. To save computational cost, some algorithms try to shrink a data set size to a smaller amount of representative data examples. However, their user-defined shrinking ratios may significantly affect the clustering performance. In this...
Our vision is that regardless of future variations in the interior of airplane cabins, we can utilize ever-advancing state-of-the-art virtual and mixed reality technologies with the latest research in neuroscience and psychology to achieve high levels of comfort for passengers. Current surveys on passenger's experience during air travel reveal that they are least satisfied with the amount and effectiveness...
Thinning “Skeletonization” is a very crucial stage in the Arabic Character Recognition (ACR) system. It simplifies the text shape and reduces the amount of data that needs to be handled and it is usually used as a pre-processing stage for recognition and storage systems. The skeleton of Arabic text can be used for: baseline detection, character segmentation, and features extraction, and ultimately...
Under the auspices of the NASA Innovative Advanced Concepts (NIAC) Program, the University of Arizona, Southwest Research Institute, Jet Propulsion Laboratory, Arizona State University, and Johns Hopkins Applied Research Laboratory are developing and demonstrating key technologies required to realize a suborbital, 10 meter class telescope suitable for operation from radio to THz frequencies. The telescope...
Continuous Confidence Map Based Normalisation: While continuous head pose normalisation is not the goal of this paper, we demonstrate as a proof of concept that it is possible to extend the current method for continuous head pose normalisation. For dealing with faces in videos [1], continuous head pose normalisation is required. [2] argue that the appearance of a part does not changes with a subtle...
In this paper, we present two adaptive edge encoding schemes for the operational rate-distortion optimal polygon-based shape coding. The encoding edge is represented by an octant number, a major component, and a minor component, where the ranges of the two components are determined at two levels. For the object-level, these ranges are either determined by users or adaptive to the contour characteristics...
The Cincinnati Engineering Enhanced Math and Science (CEEMS) Program, funded by the National Science Foundation, DUE #1102990, empowers secondary math and science teachers to integrate the engineering design process and challenge-based learning into the courses they teach. Some of the curricular materials developed by CEEMS participating teachers also incorporate the fine arts into the design process,...
Today for oceanographic research, many computer vision applications can be used in data analysis, indexing of underwater objects and the estimation of the population statistics of marine animals has been done with the help of the Remotely Operated Underwater Vehicles (ROV's). Scientific observation of the undersea environment is a challenging problem as it offers a potential for continuous observations...
Object detection and classification in video is an important step in the video surveillance. We propose efficient moving object detection, classification and evaluate its parameter by alternating the algorithm in effective way. The techniques like image subtraction, threshold and foreground detection will be used for object detection and patterns are used for classification. Then frame by frame the...
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