In this paper, the vascular sounds of the arteriovenous fistula at the anastomosis and five centimeters downstream the anastomosis were analyzed. The analysis of the sounds was based on features extracted from the pow...
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ISBN:
(纸本)9781424441211
In this paper, the vascular sounds of the arteriovenous fistula at the anastomosis and five centimeters downstream the anastomosis were analyzed. The analysis of the sounds was based on features extracted from the power spectral density (PSD) and wavelet decomposition. The database consists of 15 recordings at the anastomosis and 15 reference recordings obtained from 15 patients. The results showed that the vascular sounds at the anastomosis can be characterized as an extra energy in the higher frequencies (200-1000 Hz) i.e. higher mean frequency of the PSD than the reference recordings. Moreover, the wavelet decomposition of the anastomosis recordings showed a similar energy pattern, in the finer scales, to that found in studies of arterial and venous stenosis.
The Quality of Service (QoS) in land mobile satellite (LMS) communications drops drastically in the presence of shadowing and multipath fading. This paper studies two promising multiple-input multiple-output (MIMO) sc...
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Part I of this special issue is devoted to the physical layer, MAC layer, and physical-link cross-layer design technologies of vehicular communications and networks. There are 21 papers in this issue.
Part I of this special issue is devoted to the physical layer, MAC layer, and physical-link cross-layer design technologies of vehicular communications and networks. There are 21 papers in this issue.
Brain CT images are very useful in diagnosis of cerebrovascular accidents (CVA). These images contain too many information. But most of the times, provided information is contaminated by noise and suffer from poor con...
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Brain CT images are very useful in diagnosis of cerebrovascular accidents (CVA). These images contain too many information. But most of the times, provided information is contaminated by noise and suffer from poor contrast. On the other hand, there are certain parts of the brain image that is really important to radiologist, while other image details are more or less confusing. This sparks the need for customized enhancement of brain CT images. Translation-invariant wavelet transform is being widely used in most of image processing tasks including image enhancement. This transform is calculated with a filter bank algorithm, called algorithme àtrous. In this paper we propose a filter bank structure similar to algorithme àtrous. This structure is more redundant and offers greater selectivity and flexibility to enhance desired features of brain CT images.
A fast, efficient, and scalable algorithm is proposed, in this paper, for re-encoding of perceptually quantized wavelet-packet transform (WPT) coefficients of audio and high quality speech and is called "adaptive...
The identification of the types of the human papillomavirus (HPV) that have infected a female patient provides valuable information as regards to her risk for developing cervical cancer. A widely used method for perfo...
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The identification of the types of the human papillomavirus (HPV) that have infected a female patient provides valuable information as regards to her risk for developing cervical cancer. A widely used method for performing the above task (namely HPV typing) is PCR-RFLP gel electrophoresis. However, the conventional HPV typing protocol is error-prone and resource-ineffective due to lack of interaction between the phases involved in it. In order to treat these shortcomings, we introduce a novel HPV typing system that can be built upon widely available laboratory equipment. The proposed workflow of the system automates the task of HPV typing via PCRRFLP gel electrophoresis. The proof-of-concept of the proposed methodology is evaluated via an experiment that emulates the operation of the introduced system on a set of real HPV data.
In this paper, we propose a particle filtering (PF) method for indoor tracking using radio frequency identification (RFID) based on aggregated binary measurements. We use an Ultra High Frequency (UHF) RFID system that...
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In this paper, we propose a particle filtering (PF) method for indoor tracking using radio frequency identification (RFID) based on aggregated binary measurements. We use an Ultra High Frequency (UHF) RFID system that is composed of a standard RFID reader, a large set of standard passive tags whose locations are known, and a newly designed, special semi-passive tag attached to an object that is tracked. This semi-passive tag has the dual ability to sense the backscatter communication between the reader and other passive tags which are in its proximity and to communicate this sensed information to the reader using backscatter modulation. We refer to this tag as a sense-a-tag (ST). Thus, the ST can provide the reader with information that can be used to determine the kinematic parameters of the object on which the ST is attached. We demonstrate the performance of the method with data obtained in a laboratory environment.
In this paper we present a novel Radio Frequency Identification (RFID) system for accurate indoor localization. The system is composed of a standard Ultra High Frequency (UHF), ISO-18006C compliant RFID reader, a larg...
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In this paper we present a novel Radio Frequency Identification (RFID) system for accurate indoor localization. The system is composed of a standard Ultra High Frequency (UHF), ISO-18006C compliant RFID reader, a large set of standard passive RFID tags whose locations are known, and a newly developed tag-like RFID component that is attached to the items that need to be localized. The new semi-passive component, referred to as sensatag (sense-a-tag), has a dual functionality wherein it can sense the communication between the reader and standard tags which are in its proximity, and also communicate with the reader like standard tags using backscatter modulation. Based on the information conveyed by the sensatags to the reader, localization algorithms based on binary sensor principles can be developed. We present results from real measurements that show the accuracy of the proposed system.
Due to advancements in lighting technologies new opportunities for application emerge. In this paper an interdisciplinary study towards the development of adaptive lighting environments is presented. An implementation...
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Due to advancements in lighting technologies new opportunities for application emerge. In this paper an interdisciplinary study towards the development of adaptive lighting environments is presented. An implementation of an adaptive lighting environment is made in the domain of office work. For evaluation, experts from the domains of human-system interaction, activity and context recognition, and system architecture design are interviewed. Contributions are made with regard to the implementation of the adaptive lighting in office environments and an evaluation method that is in line with the interdisciplinary approach. From the evaluation method insights in the fields of human-computer interaction, activity and context recognition and system architecture and (wireless) networking and in topics that span across these fields are gained.
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