Results (2366)
Search Parameters:
Keyword: REPreparation of Lead, Lead Alloy(S) And Other Salts from Exhausted Rechargeable Lead Batteries
Metals of lead and some lead alloys, lead oxide, nickel and cobalt were recovered from exhausted battery by combined hydrometallurgy and pyro metallurgical method. The spent batteries were dismantled and leached in hot 2M and 5M nitric acid. The unleached fraction was heated with sodium carbonate to produce lead oxide. Salts in the leached solution…
Read MoreAn Investigative Study on Technology Impact on the Quality of Working Life in a University Healthcare and Pharmacy
The purpose of this study was to investigate the impact of the implementation of the Online Appointment Scheduling system and Pharm Partner system technologies on the quality of working life for users in a small healthcare environment at the University of Technology, Jamaica. Both qualitative and quantitative methods were employed. Two data collection instruments were:…
Read MoreConceptual Architecture for the Continuity if Workflow in Activities on Multi-Devices: Case Study Co-Kitchen
Nowadays, the realization and follow-up of a team activity takes place in different execution environments (e.g. mobile phone, PC) through the use of computer applications. This implies context changes that generate interruptions in the activity. To improve the continuity of an activity with the reduction of interruptions during the development of this activity, would help…
Read MoreA Fuzzy-Based Approach and Adaptive Genetic Algorithm in Multi-Criteria Recommender Systems
Recommender Systems (RSs) are termed as web-based applications that make use of filtering methods and several machine learning algorithms to suggest relevant user objects. It can be said that some techniques are usually adopted or trained to develop these systems that generate lists of suitable recommendations. Conventionally, RS uses a single rating approach to preference…
Read MoreA Balanced RF Power Amplifier using the Improvement 3-dB Quadrature Hybrid Couplers for Mitigation of the Reverse Intermodulation in FM Broadcasting Systems
FM broadcast stations generate reverse intermodulation signals that cause communication problems between ATC controllers and pilots in the Air Traffic Control systems (ATC) in Thailand. In this paper proposes a balanced RF power amplifier using the improvement 3-dB quadrature hybrid couplers to reduce the reverse intermodulation of FM broadcasting systems. The mathematics analysis of the…
Read MoreDevelopment of Wavelet-Based Tools for Event Related Potentials’ N400 Detection: Application to Visual and Auditory Vowelling and Semantic Priming in Arabic Language
Neurological signals are generally very weak in amplitude and strongly noisy. As a result, one of the major challenges in neuroscience is to be able to eliminate noise and thus exploit the maximum amount of information contained in neurological signals (EEG…). In this paper, we aimed at studying the N400 wave of the Event-Related Potentials…
Read MoreHidden Surface Removal for Interaction between Hand and Virtual Objects in Augmented Reality
Recently, augmented reality (AR) technology has been applied to the inter- action technology between human and virtual objects. In AR interaction technology, it is necessary for users to be able to manipulate virtual objects intuitively. Thus, we focus on manipulating virtual objects directly with the user’s bare hands in this study. On the other hand,…
Read MoreUsing Privacy Enhancing and Fine-Grained Access Controlled eKYC to implement Privacy Aware eSign
eSign is an online electronic signature service which is recently gaining more prominence in India. eSign is based on two online services from UIDAI, viz. a viz., Aadhaar based authentication and retrieval of resident’s eKYC information after taking his/her consent. With increased adoption of Aadhaar based services, privacy of user data has become more and…
Read MoreOverview on 5G Radio Frequency Energy Harvesting
The current industrial landscape is becoming increasingly aware of the need to optimize energy use and management for all domains, including telecommunications. Among others, RF Energy Harvesting is a promising technique for 5G systems as an alternative to traditional energy supply sources. This paper presents 5G landscape and ecosystem. It positions RF-Energy Harvesting in 5G…
Read MoreLong-term Traffic Flow Forecasting Based on an Artificial Neural Network
There is no doubt that a good knowledge of traffic demand has a direct impact on improving traffic management. Road traffic is strongly correlated with many factors such as day of week, time of day, season and holidays which make it suitable for prediction. In this paper, we develop a neural network model for hourly…
Read MoreThe Role of Information Technology Human Capability in the Implementation of Information Technology Governance (ITG): A Systematic Literature Review on Malaysian Organizations
This study reviewed articles on information technology governance (ITG) in the Malaysian context and categorized the issues found in ITG implementation according to organizational-related and human-related issues. It further analysed the impact and role of information technology (IT) human capability in ITG implementation in developing countries like Malaysia, which is still in the infancy stage…
Read MoreEnhancing Bodily Movements of the Visually Impaired Children by Airflow
This study involved three departments of teachers and students. The concept of the flow-motivated exercise implemented with a set of flow nozzles. A computer-controlled airflow with specific music introduced, and the motion responses from the participants were analyzed during the initial test and field study. During the initial examination, we adjusted the magnitude and distance…
Read MoreInvestigating 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 MoreResearch on Dynamic Vehicle Model Equipped Active Stabilizer Bar
Vehicles are rollover when steering at high speed, this phenomenon is limited by increasing the anti-roll moment of the suspension system. This research focuses on analyzing and establishing the dynamic model of vehicle when steering and describes the dependence of the vehicle body’s roll angle on other factors. Research has shown that when equipped a…
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 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 MorePredictive Modelling of Student Dropout Using Ensemble Classifier Method in Higher Education
Currently, one of the challenges of educational institutions is drop-out student issues. Several factors have been found and determined potentially capable to stimulate dropouts. Many researchers have been applied data mining methods to analyze, predict dropout students and also optimize finding dropout variables in advance. The main objective of this study is to find the…
Read MoreModel-Driven Engineering Infrastructure and Tool Support for Petrochemical Industry Automation
The definition of equipment and components of physical plants is a necessary step towards the development of simulation, control, and supervisory applications for the petrochemical industry. Often it happens that the same plant/equipment is (re)modeled on each application, causing a waste-oftime on repetitive (re)design, besides introducing potential inconsistencies between the models. Moreover, even though each…
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 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 MoreAn Extension of Throughput Drop Estimation Model for Three-Link Concurrent Communications under Partially Overlapping Channels and Channel Bonding in IEEE 802.11n WLAN
The IEEE 802.11n wireless local-area network (WLAN) has been extensively deployed around the world due to the flexibility, lower cost, and the high-speed data transmission capability at 2.4 GHz ISM band. However, in the WLAN deployment, one key challenge is to optimize the channel assignment of access-points (APs) under the small number of partially overlapping…
Read More
