Results (2356)
Search Parameters:
Keyword: SEFeature Selection for Musical Genre Classification Using a Genetic Algorithm
Music genre classification is an important multimedia research domain, including aspects of music piece representation, distances between genres, and categorization of music databases. The objective of this study was to develop a model for automatic classification of musical genres from audio data by using features from low-level time and frequency domains. These features can highlight…
Read MoreFrequency-Based Design of Electric System for Off-shore Wind Power Plant (OWPP)
The paper presents a novel concept of design of electric system for Off-shore Wind Power Plant (OWPP) based on frequency. In the literature, a new transmission system i.e. Fractional Frequency Transmission System (FFTS) has been proposed as an economic alternative to High Voltage AC (HVAC) and High Voltage DC (HVDC) for power transmission from Off-shore…
Read MoreEducational Domain Management Knowledge Content Identification and Knowledge Updating Method, Based on Enterprise Management Information Interactions
The aim of this paper is to develop the educational domain management knowledge content identification and knowledge updating method, based on formal descriptions of enterprise management information interactions. This is very important because the progress of modern science leads to the emergence of new factual or conceptual knowledge. There is a need for proper methods…
Read MoreSentiment Analysis of Regional Head Candidate’s Electability from the National Mass Media Perspective Using the Text Mining Algorithm
Mass media plays an important role in leading public opinion, including in the election of regional head candidates. The tendency of mass media coverage can be used as a parameter to measure the strength of each regional head candidate. To analyze the tendency of media opinion, sentiment analysis is needed. In this study, text mining…
Read MoreAutomatic Stitching of Medical Images Using Feature Based Approach
Image stitching is a process of creating a panoramic image by combining multiple images that have overlapping regions of the same scene. It is a challenging topic in image processing, multimedia, and medical applications. The proposed system can be applied in medical applications for scoliosis operations and other long limb operations. The problem of the…
Read MoreAssessment of Coordinated Multipoint Transmission Modes for Indoor and Outdoor Users at 28 GHz in Urban Macrocellular Environment
The aim of this article is to analyze and evaluate the performance of Coordinated Multipoint (CoMP) transmission approach at a frequency of 28 GHz using three dimensional ray tracing simulations in an urban macrocellular environment. The new performance metric introduced in this article is the relative power usage. Other performance metrics examined in this article…
Read MoreA Fuzzy PID-Based Cascade Control for Continuous Material Weighing Conveyor
This article presents a nonlinear model of the continuous weighing conveyor system as considering the delay time of material transport, and then given a novel two-loop control strategy based on PID combined with fuzzy logic: inner velocity control loop and outer mass flowrate control loop. Then, two designed controllers for the velocity and mass flowrate…
Read MoreDeep Feature Representation for Face Sketch Recognition
Face sketch recognition aims at matching face sketch images to face photo images. The main challenge lies in modality discrepancy between face photo and sketch images. In this work, we propose a new facial sketch-to-photo recognition approach by adopting VGG-Face deep learning network, with which face images can be represented by compact and highly discriminative…
Read MoreA Spectrum Sharing based Metering Infrastructure for Smart Grid Utilizing LTE and WiFi
In advanced metering infrastructure (AMI) of smart grid, WiFi is an appropriate choice for its bidirectional communication requirement to transmit data to the billing center. But, WiFi functions in the free spectrum bands and LTE also requires to use the same free bands for its network expansion being licensed spectrum is limited and expansive. LTE…
Read MoreW.A.S.T.E. R.E.D.U.C.E.: Waste Auditing Sensor Technology to Enhance the Reduction of Edible Discards in University Cafeterias & Eateries
Food waste disposal and food availability are both problems in the world today. The ability to monitor food waste is currently limited by the use of manual data collection and sparsity of monitoring. Using sensors to automate the process of measuring and collecting data on food waste would allow constant monitoring and provide a better…
Read MoreManaging and Optimizing Quality of Service in 5G Environments Across the Complete SLA Lifecycle
The 5G is the fifth generation of mobile broadband, cellular technologies, and networks that promises a major change in mobility by evolving connected business realities. In such an emerging environment, reliable Service Level Agreements (SLA) and anticipation of breaches of Service Level Objectives (SLO) become compulsory. Thus, guaranteeing the required service quality, while also ensuring…
Read MoreApplication Layer Security Authentication Protocols for the Internet of Things: A Survey
Network security challenges due to nearly limitless internet connectivity, platform limitations, ubiquitous nodal mobility and huge data transactions is burgeoning by the day and the need for transcend Internet of Things (IoT) based cloud security authentication protocols is on an exponential rise. Even though many secure classic layered security mechanisms are available for implementation, they…
Read MoreA Study on the Efficiency of Hybrid Models in Forecasting Precipitations and Water Inflow Albania Case Study
Climatic changes have a significant impact on many real life processes. Climacteric position of Albania makes precipitations and water inflows in HPP the main variables influencing the amount of electric energy produced in the country. Taking into account their volatility it has considerably increased the need of using hybrid models to improve the quality of…
Read MoreInsight into the IEEE 802.1 Qcr Asynchronous Traffic Shaping in Time Sensitive Network
TSN is an attractive solution for latency-critical frame transmission built upon IEEE 802 architecture. Traffic scheduling and shaping in TSN aim to achieve bounded low latency and zero congestion loss. However, the most widespread solution (i.e. Time-Aware Shaper) requires a networkwide precision clock reference and only targets on cyclical traffic flows. This paper focuses on…
Read MorePerformance Investigation of Semiconductor Devices using Commutation-speed based methodology for the application of Boost Power Factor Correction
In this paper, behavioral approach has been adopted for the calculation of total power losses that has been further used to derive an analytical model for the conduction and switching losses in a boost Power Factor Correction (PFC) stage of an On-board Charger (OBC). Detailed investigation of power losses can help in finding out ways…
Read MoreObserving and Forecasting the Trajectory of the Thrown Body with use of Genetic Programming
Robotic catching of thrown objects is one of the common robotic tasks, which is explored in a number of papers. This task includes subtask of tracking and forecasting the trajectory of the thrown object. Here we propose an algorithm for estimating future trajectory based on video signal from two cameras. Most of existing implementations use…
Read MorePAPR and BER Performances of OFDM System with Novel Tone Reservation Technique Over Frequency Non-Selective Fading Channel
An Orthogonal Frequency Division Multiplexing (OFDM) system with Quadrature Phase Shift Keying (QPSK) mapper is considered. A novel low-complexity Tone Reservation (TR) technique is proposed for reduction of Peak-to-Average Power Ratio (PAPR) of the system. The technique is easy-to-implement and minimizes the search space of phases of reserved tones in the system. The ability of…
Read MoreDevelopment of Application Specific Electronic Nose for Monitoring the Atmospheric Hazards in Confined Space
The presence of atmospheric hazards in confined space can contribute towards atmospheric hazards accidents that threaten the worker safety and industry progress. To avoid this, the environment needs to be observed. The air sample can be monitored using the integration of electronic nose (e-nose) and mobile robot. Current technology to monitor the atmospheric hazards is…
Read MoreA Novel Pulse Position Modulator for Compressive Data Acquisition
This work extends the development of the nonuniform Parallel Digital Ramp Pulse Position Modulation Analog-to-Digital Converter (PDRADC) architecture. The continuous to discrete transform of the PDRADC is achieved by partitioning the signal amplitude axis into P nonoverlapping partitions that sample the analog input at input signal driven instances. Each partition contains L uniform levels with…
Read MoreFuzzy Logic Implementation for Enhanced WCDMA Network Using Selected KPIs
The paper focused on the implementation of fuzzy logic technology for improved Wideband Code Division Multiple Access (WCDMA) network using selected Key Performance Indicators (KPIs). Empirical and analytical methods were principally deployed for the study analyses. Empirical analyses were conducted on two designated networks which are MTN and AIRTEL observed with high network traffic to…
Read MoreHypervolume-Based Multi-Objective Reinforcement Learning: Interactive Approach
In this paper, we propose a procedure of interactive multi-objective reinforcement learning for multi-step decision problems based on the preference of a decision maker. The proposed method is constructed based on the multi-objective reinforcement learning which is applied to multi-step multi-objective optimization problems. The existing literature related to the multi-objective reinforcement learning indicate that the…
Read MoreState Estimation based Echolocation Bionics and Image Processing based Target Pattern Recognition
This paper deals with the theoretical aspect of bat echolocation and bionics, and image processing-based target recognition and identification methods. The state estimation methods utilizing the linear rustic filters such as fixed gain and Kalman filters are studied and implemented for echolocation bionics for estimating the LOS distance. A complete mathematical modeling and simulation of…
Read MoreA Proposed Architecture for Parallel HPC-based Resource Management System for Big Data Applications
Big data can be considered to be at the forefront of the present and future research activities. The volume of data needing to be processed is growing dramatically in both velocity and variety. In response, many big data technologies have emerged to tackle the challenges of collecting, processing and storing such large-scale datasets. High-performance computing…
Read MoreA Practical PIR-based Scheme for Discovering Nearby Places for Smartphone Applications
We present a privacy-preserving approach for discovering nearby places of interest to Alice. In this approach, the proposed protocol allows Alice to learn whether there is any place that she is looking for near her. However, the location-based service (LBS) that tries to help Alice to find nearby places does not learn Alice’s location. Alice…
Read MorePID-Type FLC Controller Design and Tuning for Sensorless Speed Control of DC Motor
This article examines the use of non-ideal current and voltage sensors for sensorless speed control for a fixed field DC motor. A PID type speed controller with KF estimator was applied to control the DC motor and IAE, settling time, and peak overshoot were taken as performance indices. However, KF facilitated the noise reduction. After…
Read More
