Results (1611)
Search Parameters:
Keyword: UseAnalysis of Long-term Equilibrium Relationship Between KRW, RMB, JPY Exchange Rates and International Financial Market Variables: Comparative Analysis of KRW, RMB, JPY
This study used 15 VECM analysis models to analyze the relationship among exchange rates of South Korea, China and Japan; and between exchange rates of each country and international financial market variables. The analysis variables are the Won, Yuan, Yen spot exchange rates and international financial market variables. The results of the analysis are as…
Read MoreComparison of Support Vector Machine-Based Equalizer and Code-Aided Expectation Maximization on Fiber Optic Nonlinearity Compensation Using a Proposed BER Normalized by Power and Distance Index
Advances in optimizing optical fiber communications have been on the rise these recent years due to the increasing demand for larger data bandwidths and overall better efficiency. Coherent optics have focused on many kinds of research due to its ability to transport greater amounts of information, have better flexibility in network implementations, and support different…
Read MoreMinimizing Collisions of Self-Driving Cars by a Control System Using Predetermined Two-Dimensional Grid Localization
Most crossroads use a traffic light to communicate between human-driven vehicles by conveying to the drivers when to stop and when to proceed in an organized fashion. However, the stop and wait nature of traffic lights cause slower mobility, leading to congestion. This paper presents a localization scheme based on two-dimensional (2D) flat geometry adaptation…
Read MoreUltra Wide Band-based Control of Emulated Autonomous Vehicles for Collision Avoidance in a Four-Way Intersection
Traditional crossroads use traffic lights, but may cause delays due to its stop and wait process. Moreover, autonomous vehicles are being made, although it is not yet mass-produced. This work presents a design and implementation of an agile system that communicates and coordinates autonomous vehicles entering the intersection by adjusting their speeds and maneuvers to…
Read MoreAdaptive Identification Method of Vehicle Model for Autonomous Driving Robust to Environmental Disturbances
Many recent studies on autonomous driving have focused on model-based control. A number of studies has addressed that simple models such as the Kinematic Bicycle Model are easier to design controls for autonomous driving systems. However, such a simple vehicle model has a weakness in that it is subject to modeling errors. This is because…
Read MoreAutomatic License Plate Detection and Recognition for Jordanian Vehicles
Nowadays, automatic number plate recognition (ANPR) is very important especially in the era of smart cities and intelligent transport systems. Fully automated number plate detection and recognition system helps in reducing time, error, and cost for tracking of vehicles and for recording traffic violations. The main goal of this paper is to design a low…
Read MoreHand-Based Biometric Recognition Technique – Survey
In today’s modern world, reliable automatic personal recognition is a crucial area of discussion, primarily because of the increased security risks. A large number of systems first require the recognition of a person before they can access their services. Biometric recognition can be used, which can be understood as automatic identification or automatic verification of…
Read MoreSocial Influence Factor of e-Tourism Application Case Study University Student
The income generated from the tourism sector exhibits the main driving force for national revenues in Indonesian. Based on data from the Ministry of Tourism in Indonesia, it turns out that the potential tourist category originated from the cluster of college students or school-aged cohort. In this line, social media signifies a similar age of…
Read MoreImproved System Based on ANFIS for Determining the Degree of Polymerization
Transformer health assessment techniques, based on applicable standards, such as the dissolved gas analysis (DGA), through laboratory testing or online monitoring are used to analyze the symptoms of a failure which develops in transformers from an early stage. The DGA from a sample of dielectric liquid taken from the main tank generates information on the…
Read MoreAutomatic Stochastic Dithering Techniques on GPU: Image Quality and Processing Time Improved
Dithering or error diffusion is a technique used to obtain a binary image, suitable for printing, from a grayscale one. At each step, the algorithm computes an allowed value of a pixel from a grayscale one, applying a threshold and, therefore, causing a conversion error. To obtain the optical illusion of a continuous tone, the…
Read MoreChatbot Developments in The Business World
Chatbot is an application that is designed to help humans communicate with machines. NLP and API.AI are some of the components that are crucial in making chatbot as they help chatbot in performing chatting operations. Chatbot could be implemented in many aspects of life such as education, social media platforms, games, even in business. Business…
Read MoreEffective Application of Information System for Purchase Process Optimization
This paper comprehensively focused on the information systems for purchase process optimization (IS) that are currently being used. It elaborates four crucial and important areas in relation to purchasing and supply management. These includes; Identifying the process involved in purchasing, how information systems are implemented and used in enhancing the supply process, understanding the key…
Read More“Traffic Congestion Triangle” Based on More than One-Month Real Traffic Big Data Analysis in India
This research describes new traffic congestion analysis method “Traffic Congestion Triangle” based on more than one month real traffic big data analysis in India. The location of the research is one of typical economical growing cities Ahmedabad in Gujarat state of India. The traffic congestion becomes more serious issues in most developing countries and the…
Read MoreStrategic Plan for the Achievement of the Competitiveness of Small Companies with Respect to Large Ones
The main objective of this research is to analyze the impact that the implementation of a strategic plan would have on achieving the competitiveness of the micro, small and medium enterprises (MSMEs) that are dedicated to bottling, marketing and distributing water in the city of Los Mochis. It is intended to offer a tool to…
Read MoreExperimental Study on Mechanical Behavior of Polypropylene-based Blends with Talc Fillers
In this report, polymeric composites made from Polypropylene (PP) and talc powder were studied. The talc powder with different portions of 10%, 20%, 30% by weight was used to create samples. The samples were examined by the tensile test and the flexural test according to ASTM D638 and ASTM D790. The surface morphology of the…
Read MoreSharpniZer: A C# Static Code Analysis Tool for Mission Critical Systems
Until recent years, code quality was not given due significance, as long as the system produced accurate results. Taking into account the implications and recent losses in critical systems, developers have started making use of static code analysis tools, to assess the eminence of source code in terms of quality. Static code analysis is conducted…
Read MoreThe Effect of Different Starches in the Environmental and Mechanical Properties of Starch Blended Bioplastics
The problematic of plastic pollution in the world has led to an interest in the research and development of thermoset starch-protein blend bioplastics as a possible alternative for single use non-recyclable plastics. However, these bioplastics lack the physico-chemical characteristics that make them useful as a replacement for the currently used plastics. This work aims to…
Read MoreInterface for Visualization of Wireless Propagation Multipath Clustering Outcomes
A graphical user interface (GUI) is presented to visualize the multipaths generated by COST 2100 channel model (C2CM) and the results of clustering the wireless propagation multipaths using Modified Simultaneous Clustering and Model Selection (MSCAMSMA). The usual practice of authors is to show their data and results using figures, tables, and graphs which are already…
Read MoreVariation Between DDC and SCAMSMA for Clustering of Wireless MultipathWaves in Indoor and Semi-Urban Channel Scenarios
The performance of Simultaneous Clustering and Model Selection Matrix Affinity (SCAMSMA) and Deep Divergence-Based Clustering (DDC) in clustering wireless mul- tipaths generated by COST 2100 channel model (C2CM) is compared. Enhancing the accuracy of clustering multipaths is an open area of research which the clustering ap- proaches try to improve. Jaccard index is used as…
Read MoreAccelerating Decision-Making in Transport Emergency with Artificial Intelligence
The paper addresses speeding up meetings in a networked environment during rescue works in a transport emergency. Several groups of representatives of various services and observers participate in those meetings. The number of wrong decisions tends to increase because remote participants cannot understand each other quickly. First, the meetings must be efficiently held to avoid…
Read MoreFacebook Translation Service (FTS) Usage among Jordanians during COVID-19 Lockdown
The world is facing an unprecedented virus outbreak, COVID-19, hitting more than 200 countries. Governments have been striving to prevent the spread of the virus through the lockdown. During the strict lockdown in Jordan, people needed to stay home, and they used available social networks to keep updated on COVID-19, with Facebook, the most popular…
Read MoreAn Economic Theory Perspective for the Fight Against Poverty in the Peruvian Andes
The fight against poverty in the Peruvian Andes is a complex task in which various professionals, such as engineers, economists, anthropologists, among others, participate. The uncertainty of the decisions taken today, no matter how appropriate they may seem, such as million-dollar investments in irrigation infrastructure, can result in over-production and, therefore, in economic recessions. For…
Read MoreAn Adaptive Nonlinear Sensorless Controller of Doubly Fed Induction Generator Driven By Wind Turbine
In this study, an adaptive nonlinear sensorless controller for doubly fed induction generator (DFIG) driven by a wind turbine is proposed. The aim is to maximize the extracted power by tracking the wind turbine optimal torque-speed characteristic without the need for rotor speed measurement. This controller ensures a satisfactory tracking of both stator flux and…
Read MoreAmerican Sign Language Recognition Based on MobileNetV2
Sign language is a form of communication language designed to link a deaf-mute person to the world. To express an idea it requires the use of hand gestures and body movement. However, the bulk of the general population remain uneducated to understand the sign language. Therefore, a translator is required to facilitate the communication. This…
Read MoreExtending the Classifier Algorithms in Machine Learning to Improve the Performance in Spoken Language Understanding Systems Under Deficient Training Data
One of the open domain challenges for Spoken Dialogue System (SDS) is to maintain a natural conversation for rarely visited domain i.e. domain with fewer data. Spoken Language Understanding (SLU) is a component of SDS that converts user utterance into a semantic form that a computer can understand. If we scale SDS open domain challenge…
Read More
