Results (1651)
Search Parameters:
Keyword: POSInvestigating The Detection of Intention Signal During Different Exercise Protocols in Robot-Assisted Hand Movement of Stroke Patients and Healthy Subjects Using EEG-BCI System
Improving the hand motor skills in post-stroke patients through rehabilitation based on movement intention derived signals from the brain in conjunction with robot-assistive technologies are explored. The experimental work is conducted using Electroencephalogram based Brain-Computer Interface (EEG-BCI) system and the AMADEO hand rehabilitation robotic device. Two protocols using visual-cues and then using a 2-Dimensional (2D)…
Read MorePrototype of a Security Architecture for a System of Electronic Voting for the Ecuador
To be able to perform a better voting system, it is important to go to ICT and its various platforms designed for electoral purposes, which are being used in several countries in Latin America. In Ecuador are being used digital mechanisms during the process, but with certain errors and he is being considered to implement…
Read MoreDSTATCOM-Fuel Cell System on Radial Low-voltage Distribution Network for Mitigating Voltage Rise Caused by High Penetration of Photovoltaic Systems
The Malaysian government has recently announced to increase the share of renewable energy generation from 2% to 20% of the total electricity consumption by year 2030. However, integrating a significant level of renewable energy sources on the distribution network without proper coordination will cause adverse effects that leads to unnecessary operation costs to the stakeholders.…
Read MoreLocalization of Emerging Leakages in Water Distribution Systems: A Complex Networks Approach
Water distribution networks are infrastructural systems designed for providing potable water to consumers. In these last decades, the importance of assessing and identifying emerging leakages has become a primary issue, because of the high level of water loss characterizing such systems worldwide. In this paper, a new approach aimed at the prompt localization of leakages…
Read MoreA Novel Strategy For Prompt Small Cell Deployment In Heterogeneous Networks
Popularity and a_ordability of smart phones and other data hungry devices add exponentially to the tra_c demand of existing cellular networks. Cell densification and small cell deployment over existing macrocell has been identified as an e_ective solution to high tra_c demand predicted for future wireless networks like 5G. Small cells are deployed over existing macrocells…
Read MoreEvent Monitoring using Distributed Pattern Recognition Approach on Integrated IoT-Blockchain Network
With the advancement in the field of Internet-of-Things (IoT), event monitoring applications have rapidly evolved from a simple event data acquisition towards predictive event analytics involving multi-sensory data aggregation in a distributed environment. Existing event monitoring schemes are mainly relying on ine_cient centralized processing mechanism, which may lead to the common single-point of failure for…
Read MoreAutomatic Service Orchestration for e-Health Application
This paper describes an architectural approach to the development of dynamic service-oriented systems for e-Health using the service orchestration mechanism and semantic technologies. The main idea is the dynamic synthesis of the complex functionality required by user or by software agent. This idea should help to build and easily extend the applied loose-coupled systems without…
Read MoreAn Enhanced Fuzzy Clustering with Cluster Density Immunity
Clustering is one of the well-known unsupervised learning methods that groups data into homogeneous clusters, and has been successfully used in various applications. Fuzzy C-Means(FCM) is one of the representative methods in fuzzy clustering. In FCM, however, cluster centers tend leaning to high density area because the sum of Euclidean distances in FCM forces high…
Read MoreA Perceptually Optimized Embedded Image Coder and Quality Assessor Based Both on Visual Tools
In this paper, we propose a new Perceptually Optimized Embedded Zero Tree Image Coder EVIC and its improved version MEVIC. The coder presents a new perceptual model to weight wavelet coefficients to enhance SPIHT embedded coding. The new visual coder aims to improve the visual quality obtained by the reference SPIHT coder for a given…
Read MoreOptical Braille Recognition Software Prototype for the Sinhala Language
Braille system is purposely made for visually impaired people, to support their literal communication in order to share their knowledge. Louis Braille introduced the braille system consists of series dots which are embossed to read by touching. Early days Braille papers are made manually, but at current days braille documents are made using machines. Due…
Read MoreDysphoria Detection using EEG Signals
Dysphoria is a state faced when one experienced disappointment. If it is not handled properly, dysphoria may trigger acute stress, anxiety and depression. Typically, the individual who experienced dysphoria are in-denial because dysphoria is always being associated with negative connotations such as incompetency to handle pressure, weak personality and lack of will power. To date,…
Read MoreWell Balanced Multi-value Sequence and its Properties Over Odd Characteristic Field
The authors propose a well balanced multi-value sequence (including a binary sequence). All the sequence coe_cients (except the zero) appear almost the same in number, thus, the proposed sequence is so called the well balanced sequence. This paper experimentally describes some prominent features regarding a sequence, for instance, its period, autocorrelation, and cross-correlation. The value…
Read MoreSignal-to-Quantization Noise Ratio of the Parallel Digital Ramp Analog-to-Digital Converter
This work presents a theoretical analysis of the Signal-to-Quantization Noise Ratio (SQNR) of the nonuniform Parallel Digital Ramp Pulse Position Modulator Analog-to-Digital Converter (PDR-ADC) architecture. The PDR-ADC partitions the amplitude axis into P non-overlapping partitions that sample the analog input at input signal driven instances. Samples are generated when the input signal crosses a digital…
Read MoreSmart Meter Data Analysis for Electricity Theft Detection using Neural Networks
The major problem in electric utility is Electrical Theft, which is harmful to electric power suppliers and causes economic loss. Detecting and controlling electrical theft is a challenging task that involves several aspects like economic, social, regional, managerial, political, infrastructural, literacy rate, etc. Numerous methods were proposed formerly for detecting electricity theft. However, the previous…
Read MoreInference Rule of Collision Risk Index based on Ship Near-Collision via Adaptive Neuro Fuzzy Inference System
Collision risk index has been studied as the required quantitative values for decision-making of collision avoidance between ships. Recently, inference methods of the collision risk were proposed on the basis of the fuzzy theory because of being possible to collect data in real time. Existing fuzzy inference system was composed of only simulation results using…
Read MoreMulti-Restricted Area Avoidance Scenario Using Hybrid Dynamical Model and Its Predictive Controller
This article is addressed to show the results of hybrid dynamical modeling in the form of PWA (piecewise-affine) and equivalent MLD (mixed-logical dynamical) model for multi-restricted areas avoidance of an autonomous system. It is a problem of determining the optimal moving trajectory from plant’s initial position to some desired position while avoiding some restricted areas…
Read MoreOptimal Discrete-time Sliding Mode Control for Nonlinear Systems Subject to Input Constraints
In this paper, an optimal discrete-time sliding mode control is proposed for single-input single-output nonlinear systems with input constraints. The sliding surface is designed on the basis of particle swarm optimization algorithm in order to optimize the system response characteristics while ensuring the follow-up of reference model in presence of constraints. Moreover, the controller is…
Read MoreExperimental Evaluation of Transmission between Two XBee Modules Using Radio-over-Fiber Technique
An experimental transmission between two XBee modules using Radio over Fiber technique is demonstrated. Data issued from an XBee module coded on a wireless microwave carrier at 2.44GHz is transmitted through an optical link of 25.24 km. The optical transmission is based on an external modulation scheme over a dispersive channel. Frequency response of the…
Read MoreAggrandized Random Forest to Detect the Credit Card Frauds
From the collection of supervised machine learning technique, an ensemble procedure is used in Random Forest. In the arena of Data mining, there is an excellent claim for machine learning techniques. Random Forest has tremendous latent of becoming a widespread technique for forthcoming classifiers as its performance has been found analogous with ensemble techniques bagging…
Read MoreApplication of Feature Extraction for Breast Cancer using One Order Statistic, GLCM, GLRLM, and GLDM
The increasing number of breast cancer in recent years has attracted numerous researchers’ attention. Several techniques of Computer Aided Diagnosis System have been proposed as alternative solutions to diagnose breast cancer. The flaw of simply using the naked eye to see the differences between normal and with cancer mammogram images makes the texture analysis play…
Read MoreExploring of The Employee Information Management System using HOT-Fit and UTAUT2 Model
Information Systems are a combination of information technology and activities of people who use these technologies to support operations, management, data, and technology. Based on Indonesian Minister of Home Affairs Decree No. 17 of 2000, the Regional Office of the Ministry of Law and Human Rights of West Sulawesi implements the Employee Management Information System…
Read MoreIntelligent Foundations for Knowledge Based Systems
Knowledge Based Systems play a very important role, within Healthcare, with a primary goal of supporting a high quality service at an optimal cost. A widely accepted knowledge acquisition technique is through the use of Business Rules in a natural language like format. As clinical terminology is centric to HealthCare, a large percentage of these…
Read MoreAll-Pass RC-Filters Architecture with Independent Adjustment of the Main Parameters Based on Differential Difference Amplifiers
We have suggested an architecture of the second-order all-pass active RC-filter (ARCF), based on three differential difference amplifiers (DDA’s), which provides full set of amplitude-frequency responses (AFR’s) (low pass filter (LPF), high pass filter (HPF), band pass filter (BPF), rejection filter (RF)). We have given the basic equations, which allow ARCF’s. The results of computer…
Read MorePerformance Analysis of Thyristors Switched Capacitors used for Reactive Power Compensation of Induction Motor
This paper analyzes the process of reactive power compensation using thyristors switched capacitors TSC topology based on multiterminal switch during the starting of induction motor. The paper explains the control principle of this TSC topology which depends on the multiterminal switch. To actively track the required reactive power for the dynamic load and to perfectly…
Read MoreFrequency-Tunable Narrow-Band Ladder-Shape Microstrip Patch Antenna for TV Applications
In this paper, a frequency-tunable antenna is proposed based on a previous antenna which has a ladder shape and a size of 120 x 50 mm2. It is fed using a coaxial cable and it is operational at 700 MHz which is in the UHF band with a bandwidth of 30 MHz. Varactors, having a…
Read More
