The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Lung cancer is the foremost cause of death in many regions of the world. Early detection betters the chances of survival. PA chest radiography is the most commonly used diagnosis tool for detecting lung tumor, because it is cost effective and requires less radiation dose. Radiologists fail to detect nodule from PA chest radio graphs, at early stage because of complex anatomical structure present in...
Segmentation of the pelvic bone from computed tomography (CT) images is a challenging task as CT images are noisy, have wide inhomogeneities in the intensity distribution and its anatomical structure is quite complex. In this paper a framework is proposed to automatic segmentation and 3D visualization of the pelvic bone from computed tomography images to assist the physician to take medical decisions...
The prediction of path loss for the mobile radio signals is an important part in the design phase of the wireless cellular networks. In the process of modelling the path loss, the GSM 900 MHz signals are collected experimentally using Test Mobile System (TEMS) tool in the dense urban environment of Hyderabad city. In this paper, the best suited Cost 231 Hata empirical propagation model is implemented...
Mobile radio path loss modeling is an important aspect of network planning which ensures an improved quality of service to the subscribers. In this paper, the predictions made by COST 231 Walfisch-Ikegami propagation model to estimate the path loss of the mobile signals are improved by proposing a hybrid model. The modified model combines the deterministic aspects of ray tracing along with statistical...
The performance of the wireless systems is significantly influenced by multiple reflections in addition to diffraction and scattering propagation effects. The geometric and dielectric properties of the obstacles vary to a large extent in the indoor environment and it is required to model these propagation effects accurately. In this paper, indoor mobile signal strengths are recorded at 2.4 GHz frequency...
Principal Component analysis extracts the features from the low frequency content of the face image and performs the face recognition with minimal reconstruction error. This statistical method de emphasizes the high frequency information, available to improve the recognition performance. In this paper, the face image is partitioned in to different frequency sub bands prior to PCA analysis. This prior...
This paper presents a shortest path algorithm for FPGA based robot which can assist in industrial environment for various tasks. When a desired task is assigned to the robot, it chooses a shortest path from the source to the destination. Path planning is an important issue for an autonomous robot to fulfill any desired task. Today many robots implement the path planning depending on the track, but...
The main factor in cellular network planning is the accurate estimation of the received signal strength with a deeper understanding of the characterisation of a radio channel. A detailed planning is required which concentrates on parameter estimation with necessary field measurements. In this paper a drive test is conducted in the dense urban region of Hyderabad city (Southern India), using Test Mobile...
In this paper the suitability of Dual Tree Complex Wavelet Transform for Face Recognition is studied. In contrast to the discrete wavelet transform (DWT), the design of Dual Tree Complex Wavelet Transform poses good directional properties for diagonal features and is rugged to shift Invariance. These features of DT-CWT motivated to study their suitability for Face Feature Extraction and Recognition,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.