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Due to relatively high location accuracy, fingerprint-based localization is one of the best approaches in indoor localization that depends on received signal strength (RSS) from different Wi-Fi based indoor environments. Nowadays, Indoor positioning systems (IPS) are used in a wide range of daily life applications that need direction and navigation services. For example, IPS can play an essential...
Recently, the indoor positioning system (IPS) based on received signal strength (RSS) has received great attention in both industry and academic fields due to the ubiquity of wireless local area networks (WLAN). In general, Wi-Fi signal is suffering from two major limitations: first, the signal suffers from variation overtime. Secondly, the signal distribution recording on some devices can be more...
This paper presents a food intake monitoring system for patients with reduced cognitive abilities such as Alzheimer’s and dementia patients. Using skin regions to detect hand and face, we track the selected skin blobs over video frames. We also worked within YCbCr and YIQ color spaces since better control over illumination changes can be realized. To enable better tracking of moving skin regions,...
Various techniques have been developed for Indoor Positioning Systems (IPS), a method that fingerprints the Received Signal Strength (RSS) of WiFi at specific places that can achieve high accuracy of about one meter at the exact location. A large range of indoor navigation needs and user services can be provided by using IPS, especially in unusual conditions such as being in large complex buildings...
For decades, humans have been keen on creating smart spaces where advanced technology is utilized to provide enhanced services. Receiving directions and/or being recognized within indoor spaces is one feature of smart spaces that is currently heavily researched. Indoor positioning systems (IPS) can be used to provide a wide range of user navigation and directions services, particularly in abnormal...
Detection of clustered microcalcifications in digitized mammograms can be very useful for early detection of breast cancer. Clustered microcalcifications have a distinguished signature in both spatial and frequency domains. In the spatial domain, they appear as white spots which represent local maxima, while in the frequency domain microcalcifications represent local anomalies that can be captured...
Sensors for infrastructure monitoring and evaluation utilizes different types of sensors which are placed at strategic locations to monitor the behavior of structures and provides valuable data such as strain, temperature, and vibration. A sensor network helps in identifying structural problems at early stages, prolonging the life of these structures, and improving public safety. This paper will discuss...
Ground penetrating radar (GPR) scans of rebar embedded in concrete structures produce distinct hyperbolic signatures. These signatures can be removed from the data as a preprocess to the identification of other embedded objects. This work is a step towards achieving an unsupervised detection of defects in concrete bridge decks. The proposed algorithm detects the signature of rebar(s) in a GPR scan...
In this paper, we investigate embedded region of interest (ROI) image coding of mammograms. This coding algorithm is based on combining set partitioning in hierarchical trees (SPIHT) scheme and reversible wavelet transform. We show that this combination produces both progressive and perfect reconstruction features. The benefit of such approach is that it offers the possibility of compressing ROI with...
Learning communities involving 263 first-year students were created at Western Michigan University College of Engineering and Applied Sciences in Fall Semester 2005 to enhance student learning and improve first-year retention. Placing groups of students in the same 2-to-4 classes did achieve the program's goals of creating connection among students and forming student study groups. There do not appear...
A segmentation and motion estimation are two problems that require accurate estimation for many applications in computer vision and image analysis. In this paper, an algorithm that is based on motion information and restored spatial information to segment the scene is presented. This algorithm has minimum dependency on noisy data and the motion vectors are estimated using a deterministic mean field...
The next generation wireless communication systems needs not only to provide a higher data throughput but also to support integrated applications with various quality of service (QoS) requirements. In this paper, a new cross layers design of a dynamic resource allocation control for 3GPP2 1xEV-DV systems is proposed. The dynamic resource allocation proposed is able to allocate the optimal combination...
Transmission of mammographic images in real time and of sufficient accuracy to render accurate diagnosis is under demand. This requires efficient lossless image compression schemes. Image compression has been a major research area for the past few decades despite the massive growth in data storage and transmission speeds. Moreover, wavelets have become the cutting edge techniques in image compression...
An algorithm to detect cracks in concrete bridges for the purpose of automating inspection of concrete bridges is presented. The algorithm combines linear structure modeling with principal component analysis (PCA) to detect cracks in images using a training set. PCA is a classical technique in feature detection; however, to improve the results of such algorithm the linear modeling is prior to PCA...
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