Comparative performance of intelligent algorithms for system identification and control

This paper presents an investigation into the comparative performance of intelligent system identification and control algorithms within the framework of an active vibration control (AVC) system. Evolutionary Genetic algorithms (GAs) and Adaptive Neuro-Fuzzy Inference system (ANFIS) algorithms are used to develop mechanisms of an AVC system, where the controller is designed based on optimal vibration suppression using the plant model. A simulation platform of a flexible beam system in transverse vibration using finite difference (FD) method is considered to demonstrate the capabilities of the AVC system using GAs and ANFIS. MATLAB GA tool box for GAs and Fuzzy Logic tool box for ANFIS function are used to design the AVC system. The system is men implemented, tested and its performance assessed for GAs and ANFIS based algorithms. Finally, a comparative performance of the algorithms in implementing system identification and corresponding AVC system using GAs and ANFIS is presented and discussed through a set of experiments

Intelligent Learning Algorithms for Active Vibration Control

YesThis correspondence presents an investigation into the comparative performance of an active vibration control (AVC) system using a number of intelligent learning algorithms. Recursive least square (RLS), evolutionary genetic algorithms (GAs), general regression neural network (GRNN), and adaptive neuro-fuzzy inference system (ANFIS) algorithms are proposed to develop the mechanisms of an AVC system. The controller is designed on the basis of optimal vibration suppression using a plant model. A simulation platform of a flexible beam system in transverse vibration using a finite difference method is considered to demonstrate the capabilities of the AVC system using RLS, GAs, GRNN, and ANFIS. The simulation model of the AVC system is implemented, tested, and its performance is assessed for the system identification models using the proposed algorithms. Finally, a comparative performance of the algorithms in implementing the model of the AVC system is presented and discussed through a set of experiments

Spiral Techniques for Teaching Interpretation at Higher Education: Quantitative Research

This quantitative, quasi-experimental research is aimed at investigating the impact of spiral teaching techniques on students’ performance in interpretation. Data was collected using a pretest-posttest designed for a sample of level 7 undergraduate students in the College of Languages and Translation, at Imam Muhammad Ibn Saud Islamic University. Data collection instruments also included a Likert scale questionnaire to document the problems of interpretation. A sample of 100 students was selected randomly to respond to the questionnaire’s 30 items. Data analysis included a thorough analytical examination of students’ interpretations using a rubric that comprises seven categories for examining interpretation skills, including content delivery, language fluency, memory, speed, note-taking, time management, and managing lab equipment. The language category includes three subcategories, namely listening comprehension, language structure, and pronunciation and voice expression. The results of data analysis pointed to a significant difference between the overall scores of the students’ pretest and posttest, indicating the positive impact of spiral techniques on students’ performance. Data analysis of students’ recording and note-taking revealed the advantages of spiral teaching techniques for enhancing students’ cognitive abilities, including attention, retention, and motivation. The current research discussions cover a wide range of topics such as narrowing the gap between interpretation theories and practice, interpretation teaching and training, and the procedures for implementing the spiral approach. The recommendations emphasize the importance of adopting constructivist approaches in teaching interpretation. The significance of this research derives from being a contribution in the field of interpretation at higher education as it is one of the first studies to integrate the constructivist spiral theory into interpretation theories so as to enhance students’ lab training and, as a result, can lead to improving their performance. The spiral notetaking technique is another contribution in interpretation teaching and training

Utility of 2-cyano-3-phenyl-2-propenoyl chloride as Michael’s acceptor in heterocyclic synthesis with mono- and bi-dentate nucleophiles

(E) 2-Cyano-3-phenyl-2-propenoyl chloride reacts with nitrogen, oxygen and sulphur mono- and bi-dentate nucleophilic reagents to give the amide derivatives, the ester derivatives, as well as some heterocyclic systems, namely quinazolinone, pyridopyrimidine and benzothiazepine. Cyclization of some obtained amides affords the benzoxazinones, quinazolinone, whereas that of other amides yields oxadiazole and benzoxazole, respectively

Quality of service management for non-guaranteed networks

The increasing dominance of multimedia communication posed new requirements for the underlying systems. Multimedia data, formally called continuous media, has time constraints that impose real time limitations for their transmission. Certain levels of service, called Quality of Service (QoS), need to be considered when handling continuous media. The present work utilizes QoS concepts for networks that do not have inherent QoS support. The thesis aims at verifying the possibility of having QoS-controlled communication on non-guaranteed networks. A basic QoS architecture is designed where already existing QoS concepts are adapted to work with non-guaranteed networks. The architecture provides the facilities of QoS specification, mapping, admission, maintenance, monitoring and notification. In addition, a new concept for predictive QoS admission is introduced. The proposed architecture was verified using a prototype system. The results showed an increased percentage of continuous media that arrive on time to their receivers (good put) with higher network loads. The increased good put was at the expense of high network overhead

THE ROLE OF SOFT MOBILITY TOWARDS STRENGTHENING URBAN TRANSFORMATION AND SUSTAINABLE WELL-BEING: CASE STUDY: MANSOURA CITY, EGYPT

This research investigates the method of soft mobility role on Egyptian neighborhood unit. It discusses itsrelationship with the main principles of New Urbanism. And proposes some objectives: Interpret Mobilitynew concepts in New Urbanism, cite urbanism principles and its trends to conclude soft mobility indicators,design a matrix inventories the compatibility of soft mobility indicators and behavioral dimension. And atlast, the matrix tests the combination of indicators and dimensions in an Egyptian traditional urban fabric,at Mansoura City

Testing interval forecasts: a GMM-based approach

This paper proposes a new evaluation framework for interval forecasts. Our model free test can be used to evaluate intervals forecasts and High Density Regions, potentially discontinuous and/or asymmetric. Using a simple J-statistic, based on the moments de ned by the orthonormal polynomials associated with the Binomial distribution, this new approach presents many advantages. First, its implementation is extremely easy. Second, it allows for a separate test for unconditional coverage, independence and conditional coverage hypotheses. Third, Monte-Carlo simulations show that for realistic sample sizes, our GMM test has good small-sample properties. These results are corroborated by an empirical application on SP500 and Nikkei stock market indexes. It con rms that using this GMM test leads to major consequences for the ex-post evaluation of interval forecasts produced by linear versus nonlinear models.Interval forecasts, High Density Region, GMM.

Intelligent Active Vibration Control for a Flexible Beam System

YesThis paper presents an investigation into the development of an intelligent active vibration control (AVC) system. Evolutionary Genetic algorithms (GAs) and Adaptive Neuro-Fuzzy Inference system (ANFIS) algorithms are used to develop mechanisms of an AVC system, where the controller is designed on the basis of optimal vibration suppression using the plant model. A simulation platform of a flexible beam system in transverse vibration using finite difference (FD) method is considered to demonstrate the capabilities of the AVC system using GAs and ANFIS. MATLAB GA tool box for GAs and Fuzzy Logic tool box for ANFIS function are used for AVC system design. The system is then implemented, tested and its performance assessed for GAs and ANFIS based design. Finally a comparative performance of the algorithm in implementing AVC system using GAs and ANFIS is presented and discussed through a set of experiments

Promoting Thermal Comfort for Indoor Office Spaces Through Biomimetic Facades Retrofitting

The premise of this study is to explore biomimicry as an environmental approach and solution for improving thermal comfort for users of different indoor workspaces in office buildings, consequently reducing energy consumption in these spaces. Delta University for Science and Technology in Egypt had been chosen as a case study. The use of biomimetic indicators on the facade of office spaces at Delta University is the basis for this paper to test the premise. The living organisms that live in the same environment according to their adaptations and response to climate will be examined, investigated, and mimicked in the adaptive façade design. The adaptive facade concepts will use Kimler\u27s design process, Design Builder, and Energy Plus as tools. Additionally, three distinct sorts of materials and biomimetic proposals will be used. The optimal model in terms of thermal comfort and cost will then be identified by comparing the outcomes of the proposals with conditions before implementing biomimetic façade proposals