Proposing a hybrid approach for emotion classification using audio and video data

Emotion recognition has been a research topic in the field of Human-Computer Interaction (HCI) during recent years. Computers have become an inseparable part of human life. Users need human-like interaction to better communicate with computers. Many researchers have become interested in emotion recognition and classification using different sources. A hybrid approach of audio and text has been recently introduced. All such approaches have been done to raise the accuracy and appropriateness of emotion classification. In this study, a hybrid approach of audio and video has been applied for emotion recognition. The innovation of this approach is selecting the characteristics of audio and video and their features as a unique specification for classification. In this research, the SVM method has been used for classifying the data in the SAVEE database. The experimental results show the maximum classification accuracy for audio data is 91.63% while by applying the hybrid approach the accuracy achieved is 99.26%

A scenario based performance analysis of VANET protocols

Inter-vehicle communication is a major part of the Intelligent Transportation Systems (ITS). Vehicular Ad-Hoc Network (VANET) was primarily developed to improve safety and comfort for vehicles, passengers and drivers. Because of high mobility and changeable infrastructure, there are many challenges in such networks one of which is routing. Existing routing algorithms for VANET are divided into five major classes: position based, cluster based, broadcast,geocast based, and topology based routing protocols. Different researches for ITS compare existing routing protocols for VANET and evaluated their performance. Nevertheless, most of them are far from realistic conditions. Since these systems often consist of many nodes, a real-world test is very costly and time consuming. Therefore, most VANET researches use simulators which allow fast and cheap evaluation of protocols and applications. The simulation scenarios are controllable and reproducible. In simulation studies models are used to make a judgement on real-world viability. The model must reflect the real-world conditions to make the results reliable. In this thesis we provide a realistic model for Auckland using Nakagami propagation model and evaluate the performance of several popular VANET protocols (AODV, DSR, OLSR,DSDV,GPSR, CBRP, and ZRP). We use Nakagami propagation model and investigate the impact of the shape factor of the Nakagami model on the performance of each protocol for two real scenarios: urban area and highway. For the urban area, we select Auckland CBD with maximum speed of 50 km/h. For the highway area, we select Auckland motorway with maximum speed of 100 km/h. The simulations are carried out using OMNET++ and SUMO simulators, with scenarios configured to reflect real-world conditions. We compare the performance of the protocols using three metrics: packet error ratio, end-to-end delay and throughput. The experimental results show that the performance of the protocols depend on several factors which include: number of vehicles, speed of vehicles, shape factor, etc. In general, DSR has the highest throughput for both scenarios in all conditions. In terms of packet error rate, for most of the cases in the CBD scenario, CBRP outperforms other protocols while for the motorway scenario, in most of the cases, the best protocol is ZRP. The lowest End to End Delay (EED) is achieved for both scenarios when using OLSR

Evaluating VANET Routing Protocols for Auckland Area

This paper provides a performance evaluation for several popular Vehicular Ad-Hoc Network (VANET) protocols, namely AODV, DSR, OLSR, DSDV, GPSR, CBRP, and ZRP with Nakagami fading propagation model for Auckland area. The impact of the shape factor of the Nakagami model on the performance is investigated for each of the studied protocols, and for three types of traffic: low, medium and high traffic. Two real scenarios are considered: urban area (central of Auckland), with a maximum speed of 50 km/h, and motorway, with a maximum speed of 100 km/h. Results show that the performance of the protocols varies and depends on several factors including the number and the speed of vehicles