Low Power Low Voltage Bulk Driven Balanced OTA

The last few decades, a great deal of attention has been paid to low-voltage (LV) low-power (LP) integrated circuits design since the power consumption has become a critical issue. Among many techniques used for the design of LV LP analog circuits, the Bulk-driven principle offers a promising route towards this design for many aspects mainly the simplicity and using the conventional MOS technology to implement these designs. 

For more details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5276

Optimised Malware Detection in Digital Forensics

 

Author :  SaeedAlmarri

Affiliation :  University of Bedfordshire

Country :  United Kingdom

Category :  Networks & Communications

Volume, Issue, Month, Year :  6, 1, January, 2014

Abstract :

On the Internet, malware is one of the most serious threats to system security. Most complex issues and problems on any systems are caused by malware and spam. Networks and systems can be accessed and compromised by malware known as botnets, which compromise other systems through a coordinated attack. Such malware uses anti-forensic techniques to avoid detection and investigation. To prevent systems from the malicious activity of this malware, a new framework is required that aims to develop an optimised technique for malware detection. Hence, this paper demonstrates new approaches to perform malware analysis in forensic investigations and discusses how such a framework may be developed.

Keyword :  Denial of service (DOS), Wireshark, Netstat, TCPView, The Sleuth Kit (TSK), Autopsy, Digital Forensics, Malware analysis, Framework

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5275

Classification of OCT Images for Detecting Diabetic Retinopathy Disease using Machine Learning

Author :  Marwan Aldahami and Umar Alqasemi

Affiliation :  King Abdulaziz University

Country :  Saudi Arabia

Category :  Digital Signal & Image Processing

Volume, Issue, Month, Year :  12, 6, December, 2021

Abstract :

Optical Coherence Tomography (OCT) imaging aids in retinal abnormality detection by showing the tomographic retinal layers. OCT images are a useful tool for detecting Diabetic Retinopathy (DR) disease because of their capability to capture micrometer-resolution. An automated technique was introduced to differentiate DR images from normal ones. 214 images were subjected to the experiment, of which 160 images were used for classifiers’ training, and 54 images were used for testing. Different features were extracted to feed our classifiers, including statistical features and local binary pattern (LBP) features. The experimental results demonstrated that our classifiers were able to discriminate DR retina from the normal retina with Area Under the Receiver Operating Characteristic (ROC) Curve (AUC) of 100%. The retinal OCT images have common texture patterns and using a powerful tool for pattern analysis like LBP features has a significant impact on the achieved results. The result has better performance than previously proposed methods in the literature.

Keyword :  Image classification, diabetic retinopathy, support vector machine, optical coherence tomography, retina, machine learning.

 For more details: https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5274

Sensing Method for Two-Target Detection in Time-Constrained Vector Poisson Channel

 

Author :  Muhammad Fahad and Daniel R. Fuhrmann

Affiliation :  Michigan Technological University

Country :  USA

Category :  Digital Signal & Image Processing

Volume, Issue, Month, Year :  12, 6, December, 2021

Abstract :

It is an experimental design problem in which there are two Poisson sources with two possible and known rates, and one counter. Through a switch, the counter can observe the sources individually or the counts can be combined so that the counter observes the sum of the two. The sensor scheduling problem is to determine an optimal proportion of the available time to be allocated toward individual and joint sensing, under a total time constraint. Two different metrics are used for optimization: mutual information between the sources and the observed counts, and probability of detection for the associated source detection problem. Our results, which are primarily computational, indicate similar but not identical results under the two cost functions.

Keyword :  sensor scheduling, vector Poisson channels.

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5266

An Efficient FPGA Implemenation of MRI Image Filtering and Tumour Characterization Using XILINX System Generator

 

Author :  S. Allin Christe, M. Vignesh and A. Kandaswamy

Affiliation :  PSG College of Technology

Country :  India

Category :  Embedded Systems

Volume, Issue, Month, Year :  2, 4, December, 2011

Abstract :

This paper presents an efficient architecture for various image filtering algorithms and tumor characterization using Xilinx System Generator (XSG). This architecture offers an alternative through a graphical user interface that combines MATLAB, Simulink and XSG and explores important aspects concerned to hardware implementation. Performance of this architecture implemented in SPARTAN-3E Starter kit (XC3S500E-FG320) exceeds those of similar or greater resources architectures. The proposed architecture reduces the resources available on target device by 50%.

Keyword :  MRI, Matlab, Xilinx System Generator, FPGA, Edge Detection

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5268

The Impact of Mobile Nodes Arrival Patterns in MANETS Using Poisson Models

 

Author :  John Tengviel¹, K. A. Dotche² and K. Diawuo³

Affiliation :  ¹Department of Computer Engineering, Sunyani Polytechnic, Sunyani, Ghana ²Department of Telecommunications Engineering, KNUST, Kumasi, Ghana ³Department of Computer Engineering, KNUST, Kumasi, Ghana

Country :  Ghana

Category :  Information Technology Management

Volume, Issue, Month, Year :  4, 3, August, 2012

Abstract :

Mobile Ad hoc Networks (MANETs) are dynamic networks populated by mobile stations, or mobile nodes (MNs). Specifically, MANETs consist of a collection of nodes randomly placed in a line (not necessarily straight). MANETs do appear in many real-world network applications such as a vehicular MANETs built along a highway in a city environment or people in a particular location. MNs in MANETs are usually laptops, PDAs or mobile phones. These devices may use Bluetooth and/or IEEE 802.11 (Wi-Fi) network interfaces and communicate in a decentralized manner. Mobility is a key feature of MANETs. Each node may work as a router and the network can dynamically change with time; when new nodes can join, and other nodes can leave the network. This paper presents comparative results that have been carried out via Matlab software simulation. The study investigates the impact of mobile nodes’ parameters such as the speed, the arrival rate and the size of mobile nodes in a given area using Poisson distribution. The results have indicated that mobile nodes’ arrival rates may have influence on MNs population (as a larger number) in a location.

Keyword :  MANETs, Mobility models, Mobile nodes distribution, Arrival Patterns, Poisson distribution.

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5269

Performance Analysis of OLSR Protocol in MANET Considering Different Mobility Speed And Network Density

 

Author :  Koay Yong Cett, Nor Aida Mahiddin*, Fatin Fazain Mohd Affandi, Raja Hasyifah Raja Bongsu and Aznida

Affiliation :  Universiti Sultan Zainal Abidin (UniSZA)

Country :  Malaysia

Category :  Networks & Communications

Volume, Issue, Month, Year :  13, 6, December, 2021

Abstract :

A Mobile Ad Hoc Network (MANET) is created when an independent mobile node network is connected dynamically via wireless links. MANET is a self-organizing network that does not rely on pre-existing infrastructure such as wired or wireless network routers. Mobile nodes in this network move randomly, thus, the topology is always changing. Routing protocols in MANET are critical in ensuring dependable and consistent connectivity between the mobile nodes. They conclude logically based on the interaction between mobile nodes in MANET routing and encourage them to choose the optimum path between source and destination. Routing protocols are classified as proactive, reactive, or hybrid. The focus of this project will be on Optimized Link State Routing (OLSR) protocol, a proactive routing technique. OLSR is known as the optimized variant of link state routing in which packets are sent throughout the network using the multipoint relay (MPR) mechanism. This article evaluates the performance of the OLSR routing protocol under condition of changing mobility speed and network density. The study's performance indicators are average packet throughput, packet delivery ratio (PDR), and average packet latency. Network Simulator 2 (NS-2) and an external patch UM-OLSR are used to simulate and evaluate the performance of such protocol. As a result of research, the approach of implementing the MPR mechanism are able to minimise redundant data transmission during the normal message broadcast. The MPRs enhance the link state protocols’ traditional diffusion mechanism by selecting the right MPRs. Hence, the number of undesired broadcasts can be reduced and limited. Further research will focus on different scenario and environment using different mobility model.

Keyword :  MANET, OLSR, Node Mobility, Density, Routing Scheme

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5267