Low Power Low Voltage Bulk Driven Balanced OTA

 

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. This paper is devoted to the Bulk-driven (BD) principle and utilizing this principle to design LV LP building block of Operational Transconductance Amplifier (OTA) in standard CMOS processes and supply voltage 0.9V. The simulation results have been carried out by the Spice simulator using the 130nm CMOS technology from TSMC.

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

Handling Trust in A Cloud Based Multi Agent System

 Cloud computing is an opened and distributed network that guarantees access to a large amount of data and IT infrastructure at several levels (software, hardware...). With the increase demand, handling clients' needs is getting increasingly challenging. Responding to all requesting clients could lead to security breaches, and since it is the provider's responsibility to secure not only the offered cloud services but also the data, it is important to ensure clients reliability. Although filtering clients in the cloud is not so common, it is required to assure cloud safety. In this paper, by implementing multi agent systems in the cloud to handle interactions for the providers, trust is introduced at agent level to filtrate the clients asking for services by using Particle Swarm Optimization and acquaintance knowledge to determine malicious and untrustworthy clients. The selection depends on previous knowledge and overall rating of trusted peers. The conducted experiments show that the model outputs relevant results, and even with a small number of peers, the framework is able to converge to the best solution. The model presented in this paper is a part of ongoing work to adapt interactions in the cloud.

For more details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5261

PERFORMANCE ANALYSIS OF HYBRID FORECASTING MODEL IN STOCK MARKET FORECASTING

 

Author :  Mahesh S. Khadka*, K. M. George, N. Park and J. B. Kima

Affiliation :  aDepartment of Economics and Legal Studies in Business, Oklahoma State University, Stillwater, OK 7⁴078, USA

Country :  USA

Category :  Information Technology Management

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

This paper presents performance analysis of hybrid model comprise of concordance and Genetic Programming (GP) to forecast financial market with some existing models. This scheme can be used for in depth analysis of stock market. Different measures of concordances such as Kendall’s Tau, Gini’s Mean Difference, Spearman’s Rho, and weak interpretation of concordance are used to search for the pattern in past that look similar to present. Genetic Programming is then used to match the past trend to present trend as close as possible. Then Genetic Program estimates what will happen next based on what had happened next. The concept is validated using financial time series data (S&P 500 and NASDAQ indices) as sample data sets. The forecasted result is then compared with standard ARIMA model and other model to analyse its performance.

For more details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5277

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

Multi-carrier Equalization by Restoration of RedundancY (MERRY) for Adaptive Channel Shortening in Multi-carrier Systems

 

Author :  Samir Abd Elghafar

Affiliation :  Menoufia University

Country :  Egypt

Category :  Networks & Communications

Volume, Issue, Month, Year :  5, 6, November, 2012

Abstract :

This paper proposes a new blind adaptive channel shortening approach for multi-carrier systems. The performance of the discrete Fourier transform-DMT (DFT-DMT) system is investigated with the proposed DST-DMT system over the standard carrier serving area (CSA) loop1. Enhanced bit rates demonstrated and less complexity also involved by the simulation of the DST-DMT system.

Keyword :  DFT, DMT, DST

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5265

Analysing the Correlation of Geriatric Assessment Scores and Activity in Smart Homes

 

Author :  Björn Friedrich, Enno-Edzard Steen, Sebastian Fudickar and Andreas Hein

Affiliation :  Carl von Ossietzky University

Country :  Germany

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  12, 1/2, April, 2021

Abstract :

A continuous monitoring of the physical strength and mobility of elderly people is important for maintaining their health and treating diseases at an early stage. However, frequent screenings by physicians are exceeding the logistic capacities. An alternate approach is the automatic and unobtrusive collection of functional measures by ambient sensors. In the current publication, we show the correlation among data of ambient motion sensors and the well-established mobility assessments Short-PhysicalPerformance-Battery, Tinetti and Timed Up & Go. We use the average number of motion sensor events as activity measure for correlation with the assessment scores. The evaluation on a real-world dataset shows a moderate to strong correlation with the scores of standardised geriatrics physical assessments.

Keyword :  ubiquitous computing, biomedical informatics, health, correlation, piecewise linear approximation

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5260

Adaptive Noise Reduction Scheme for Salt and Pepper

 

Author :  Tina Gebreyohannes and Dong-Yoon Kim

Affiliation :  Ajou University

Country :  South Korea

Category :  Digital Signal & Image Processing

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

Abstract :

In this paper, a new adaptive noise reduction scheme for images corrupted by impulse noise is presented. The proposed scheme efficiently identifies and reduces salt and pepper noise. MAG (Mean Absolute Gradient) is used to identify pixels which are most likely corrupted by salt and pepper noise that are candidates for further median based noise reduction processing. Directional filtering is then applied after noise reduction to achieve a good tradeoff between detail preservation and noise removal. The proposed scheme can remove salt and pepper noise with noise density as high as 90% and produce better result in terms of qualitative and quantitative measures of images.

Keyword :  MAG, Directional filtering, Noise detection, Noise reduction

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5258

A Design Science Approach to Develop a New Comprehensive SOA Governance Framework

 

Author :  Fazilat Hojaji and Mohammad Reza Ayatollahzadeh Shirazi

Affiliation :  Amirkabir University of Technology

Country :  Iran

Category :  Information Technology Management

Volume, Issue, Month, Year :  4, 3, August, 2019

Abstract :

SOA governance has a critical role in achieving success and realizing the benefits of SOA. Without effective SOA governance, organizations will experience some significant challenges including difficulties in designing effective decision structures and managing services. To address SOA challenges, organizations require a comprehensive SOA governance framework to implement management and control mechanisms. Study of existing frameworks reveals that these frameworks are not expressive enough to cover all elements of SOA governance and also, they do not completely document underpinning structures such as processes, procedures, responsibilities and measurement metrics. In this paper, we propose a new SOA governance framework that is more comprehensive and expressive than its counterparts. In the process of developing the framework, a set of important elements for a desired SOA governance framework is proposed. Based on these elements, a new SOA governance framework is developed. The proposed framework is obtained by extending characteristics of COBIT and applying ITIL service lifecycle activities to support the SOA governance principles and requirements. It is a perceptible framework that clarifies all processes, activities, metrics and other related elements in a logical structure. Also, to simplify the application of the framework, an implementation process is proposed.

Keyword :  SOA governance, service lifecycle, SOA roadmap, SOA adoption, COBIT

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5257

Performance Analysis of Transport Layer Basedhybrid Covert Channel Detection Engine

 

Author :  Anjan K

Affiliation :  R V College of Engineering

Country :  India

Category :  Networks & Communications

Volume, Issue, Month, Year :  5, 6, November, 2013

Abstract :

Computer network is unpredictable due to information warfareand is prone to various attacks. Such attacks on network compromiseson the most important attribute, the privacy. Most of such attacksare devised using special communication channel called Covert Channel".The word Covert" stands for hidden or nontransparent.Network Covert Channel is concealed communication paths within legitimatenetwork communication that clearly violates security policies laiddown. Non-transparency in covert channel is also referred to as trapdoor.A trapdoor is unintended design within legitimate communication whosemotto is leak information. Subliminal channel, a variant of covert channelworks similarly as network covert channel except that trapdoor is setin cryptographic algorithm. A composition of covert channel with subliminalchannel is the Hybrid Covert Channel". Hybrid covert channelis the homogeneous or heterogeneous mixture of two or more variantsof covert channel either active at same instance or at different instanceof time. Detecting such malicious channel activity plays a vital role inremoving threat to legitimate network.In this paper, we introduce new detection engine for hybrid covert channelin transport layer visualized in TCP and SSL. A setup made onexperimental test bed (DE-HCC9) in RD Lab of our department. Thepurpose of this study is to introduce few performance metrics to evaluatedetection engine and also to understand the multi-trapdoor natureof covert channel.

Keyword :  Covert Channel, Subliminal Channel, Hybrid Covert Channel,Network Security, Trapdoors

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5255

OptAGAN: Entropy-based Finetuning on Text VAE-GAN

 

Author :  Paolo Tirotta

Affiliation :  University of Bologna

Country :  Italy

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 23, December, 2021

Abstract :

Transfer learning through large pre-trained models has changed the landscape of current applications in natural language processing (NLP). Recently Optimus, a variational autoencoder (VAE) which combines two pre-trained models, BERT and GPT-2, has been released, and its combination with generative adversarial networks (GANs) has been shown to produce novel, yet very human-looking text. The Optimus and GANs combination avoids the troublesome application of GANs to the discrete domain of text, and prevents the exposure bias of standard maximum likelihood methods. We combine the training of GANs in the latent space, 

Keyword :  Text Generation, Variational Autoencoders, Generative Adversarial Networks, Reinforcement Learning.

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5254

Detection and Removal of Non-Responsive Channels and Trials in Evoked Potentials Using Median Test

 

Author :  V. Adinarayana Reddy, P. Chandra Sekhar Reddy, G. Hemalatha, B. Anuradha and T. Jaya Chandra Prasad

Affiliation :  RVP Engineering College for Women

Country :  India

Category :  Digital Signal & Image Processing

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

Abstract :

The primary goal of this research work is to detect and remove non responsive channels and trials in evoked potentials by tracing out the signals with very low energy. This is done by calculating the energy of the average evoked potential of each channel, and the energy of the average evoked potential of each trial. Then channel wise and trial wise median test is conducted to detect and remove non-responsive channels and trials. An attempt has been made to apply these techniques to 14-channel visual evoked potentials (VEPs) obtained from four different subjects.

Keyword :  evoked potentials, energy, median

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5251