Performance Evaluation of a Wireless Network using a VoIP Traffic Generator on a Mobile Device

The problem of generating different patterns of traffic to emulate real user behaviour is receiving considerable attention with the construction of new and more complex network architectures. The theoretical modelling of waveforms or signals that flow through networks is valuable in a variety of scenarios including performance analysis and the design of communication systems. In the literature, many computer-based performance evaluation tools have been discussed. However, these tools lack the ability to run on affordable technologies such as mobile phones. The fundamental contribution of this work is the design of a traffic generating tool called MTGawn which is able to run on a mobile device. Design Science Research was the research methodology used for the design and deployment of a prototype of the proposed system. VoIP traffic was emulated using an implementation of well-known real time transport protocols such as RTP and cRTP, and parameterization was defined by using three codecs namely: G.711, G.723, and G.729. An evaluation was performed in a laboratory wireless network testbed and preliminary results were collected and analysed. The results of the experiments show that such a measuring instrument can be deployed on a mobile phone. More experiments are being done to ensure the accuracy of the data and also to compare the results with that of computer-based systems. Furthermore additional functionalities, similar to the functionality found on the computer-based open source tools, are being added to the mobile tool.Telkom, Cisco, Aria Technologies, THRIPDepartment of HE and Training approved lis

Piloted simulation of one-on-one helicopter air combat at NOE flight levels

A piloted simulation designed to examine the effects of terrain proximity and control system design on helicopter performance during one-on-one air combat maneuvering (ACM) is discussed. The NASA Ames vertical motion simulator (VMS) and the computer generated imagery (CGI) systems were modified to allow two aircraft to be independently piloted on a single CGI data base. Engagements were begun with the blue aircraft already in a tail-chase position behind the red, and also with the two aircraft originating from positions unknown to each other. Maneuvering was very aggressive and safety requirements for minimum altitude, separation, and maximum bank angles typical of flight test were not used. Results indicate that the presence of terrain features adds an order of complexiaty to the task performed over clear air ACM and that mix of attitude and rate command-type stability and control augmentation system (SCAS) design may be desirable. The simulation system design, the flight paths flown, and the tactics used were compared favorably by the evaluation pilots to actual flight test experiments

An Experimental Methodology to Evaluate Concept Generation Procedures Based on Quantitative Lifecycle Performance

This study presents an experimental methodology to measure how concept generation procedures can affect the anticipated lifecycle performance of engineering systems design concepts. The methodology is based on objective and quantitative measurements of anticipated lifecycle performance of the design concepts. It merges cognitive and computer-aided techniques from the fields of collaboration engineering, creativity, and engineering design. It complements the body of existing techniques relying on subjective expert assessments, and other objective metrics not explicitly measuring anticipated lifecycle performance (e.g. development time and cost). Application of the methodology is demonstrated through evaluation of design procedures generating flexibility in engineering systems design. Experiments had ninety participants generate creative design alternatives to a simplified real estate development design problem. Thirty-two teams of two to three participants performed the collaborative design exercise. An online Group-Support System interface enabled efficient data collection and analysis. A computationally efficient mid-fidelity model was used to evaluate flexible design concepts quantitatively based on real options analysis techniques.Massachusetts Institute of Technology. Center for Real EstateNatural Sciences and Engineering Research Council of CanadaMassachusetts Institute of Technology. Engineering Systems DivisionSingapore University of Technology and Design. International Design Cente

Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models

This paper evaluates whether training a decision tree based on concepts extracted from a concept-based explainer can increase interpretability for Convolutional Neural Networks (CNNs) models and boost the fidelity and performance of the used explainer. CNNs for computer vision have shown exceptional performance in critical industries. However, it is a significant barrier when deploying CNNs due to their complexity and lack of interpretability. Recent studies to explain computer vision models have shifted from extracting low-level features (pixel-based explanations) to mid-or high-level features (concept-based explanations). The current research direction tends to use extracted features in developing approximation algorithms such as linear or decision tree models to interpret an original model. In this work, we modify one of the state-of-the-art concept-based explanations and propose an alternative framework named TreeICE. We design a systematic evaluation based on the requirements of fidelity (approximate models to original model's labels), performance (approximate models to ground-truth labels), and interpretability (meaningful of approximate models to humans). We conduct computational evaluation (for fidelity and performance) and human subject experiments (for interpretability) We find that Tree-ICE outperforms the baseline in interpretability and generates more human readable explanations in the form of a semantic tree structure. This work features how important to have more understandable explanations when interpretability is crucial

Direct Instruction and Its Extension with a Community of Inquiry: A Comparison of Mental Workload, Performance and Efficiency

This paper investigates the efficiency of two instructional design conditions: a traditional design based on the direct instruction approach to learning and its extension with a collaborative activity based upon the community of inquiry approach to learning. This activity was built upon a set of textual trigger questions to elicit cognitive abilities and support knowledge formation. A total of 115 students participated in the experiments and a number of third-level computer science classes where divided in two groups. A control group of learners received the former instructional design while an experimental group also received the latter design. Subsequently, learners of each group individually answered a multiple-choice questionnaire, from which a performance measure was extracted for the evaluation of the acquired factual, conceptual and procedural knowledge. Two measures of mental workload were acquired through self-reporting questionnaires: one uni-dimensional and one multidimensional. These, in conjunction with the performance measure, contributed to the definition of a measure of efficiency. Evidence showed the positive impact of the added collaborative activity on efficiency

Direct and Constructivist Instructional Design: A Comparison of Efficiency Using Mental Workload and Task Performance

This paper investigates the efficiency of two instructional design conditions: a traditional design based on the direct instruction approach to learning and its extension with a collaborative activity based upon the community of inquiry approach to learning. This activity was built upon a set of textual trigger questions to elicit cognitive abilities and support knowledge formation. A total of 115 students participated in the experiments and a number of third-level computer science classes where divided in two groups. A control group of learners received the former instructional design while an experimental group also received the latter design. Subsequently, learners of each group individually answered a multiple-choice questionnaire, from which a performance measure was extracted for the evaluation of the acquired factual, conceptual and procedural knowledge. Two measures of mental workload were acquired through self-reporting questionnaires: one unidimensional and one multidimensional. These, in conjunction with the performance measure, contributed to the definition of a measure of efficiency. Evidence showed the positive impact of the added collaborative activity on efficiency