2016: Volume 39, Number 1                         2016: Volume 39, Number 2                            

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2016: Volume 39, Number 1

Table of Contents

 

 I. Şuşnea, M. Vlase: A Software Instrument for the Assessment of Creativity in the Educational Environment (pp. 5-11)
Abstract  Full Text

E. Pecheanu, L. Dumitriu, A. Cocu: An Experiment in ICT Mediated Group Creativity (pp. 12-18)
Abstract  Full Text

G. Vasiliu: A Decentralized Approach on the Energy Management in Buildings (pp. 19-22)

Abstract  Full Text

G. M. Timiş, A. Valachi: An Overview of the Solutions for the Implementation of Asynchronous Digital Systems (pp. 23-27)
Abstract  Full Text

I. Şuşnea: Understanding Collective Intelligence – A Literature Review From an Engineering Perspective (pp. 28-33)
Abstract  Full Text

 M. S. Abdel Aziz, M. Elsamahy, M. A. Moustafa Hassan, F. Bendary: Detecting The Loss Of Excitation In Hydro Generators Using A Neuro-Fuzzy Technique (pp. 34-43)

Abstract  Full Text

 


 

 

I. Şuşnea, M. Vlase: A Software Instrument fot the Assessment of Creativity in the Educational Environment

Abstract: One of the reasons why we don’t have an education system focused on the systematic development of the creativity of the students is that we don’t have appropriate instruments for the assessment of creativity in the educational environment. The existing creativity assessment tools reflect the confusion and lack of consensus regarding the nature of the creativity. For the 100 definitions of the creativity there are as many evaluation and measuring tools. Most of them are designed for research purposes, so they are complex, difficult to apply and score, and expensive. The present paper describes the development of a new self report measure for the creativity that can be accessed online, and is easily applicable in the educational environment. To this purpose, we have developed a new scale and a fuzzy logic algorithm for automated scoring. The validation of this instrument is a work in progress, but the initial results are promising.

Keywords: Fuzzy inference, Online creativity assessment, e-learning

 


 

E. Pecheanu, L. Dumitriu, A. Cocu: An Experiment in ICT Mediated Group Creativity


Abstract:
This paper describes an experiment aimed to evaluate the influence of the environment in an “iLab” (Innovation Laboratory) on the divergent thinking of a group of students. The philosophy behind the concept of iLab starts from the assumption that the convergent influence of an  “extraordinary environment”,  a special communication application, and appropriate moderation techniques is capable to foster the creativity of the participants, and to enable a certain “collective intelligence”. In our experiment, the group of 20 students was assigned the task to find as many new ideas as possible of ICT solutions for improving the quality of life of people with various disabilities.  The ideas produced during the session were recorded and analyzed in terms of originality, feasibility, and utility using the FCA (Formal Concept Analysis) methodology. This paper presents the results  of the experiment.

 

Keywords: iLab, group creativity, assistive technology, Formal Concept Analysis


 

G. Vasiliu: A Decentralized Approach on the Energy Management in Buildings

Abstract: Buildings are accounted to consume around 40% of the total energy in Europe and USA, even more – up to 60% -  in Canada and Scandinavian countries, and the rate of growth of the number of buildings follows the growth of the population. In this context, there is a vast literature dedicated to finding solutions for saving energy through innovative control systems of the heating, ventilation and lighting in residential and commercial buildings. This paper proposes a solution for controlling the HVAC system in small and medium size buildings by means of a distributed neural network, implemented using low cost microcontrollers, connected with passive infrared  (PIR) motion detectors. This network is capable to detect and learn user occupancy and activity patterns, relevant for the energy management of the building. Unlike other similar systems, in our approach the energy management is entirely decentralized, relying exclusively on the above mentioned distributed ANN.

Keywords: Building management systems, Energy saving, Activity recognition, Distributed neural networks.

 


 

G. M. Timiş, A. Valachi: An Overview of the Solutions for the Implementation of Asynchronous Digital Systems

Abstract: A variety of solutions for the implementation of asynchronous digital systems have been described in the literature. This paper presents several implementation methods of these systems, including self timed circuits, speed independent circuits, delay insensitive circuits, handshake protocol, and C Muller elements. We also describe an implementation case study. Using the predefined circuits models in implementation of asynchronous digital systems means avoid errors and digital hazard situations. The digital asynchronous system will run correctly, according with the specifications.

Keywords: Asynchronous digital systems, self timed, speed independent, delay insensitive, handshake, logic gates, asynchronous digital sequential system, C Muller  elements.


 

 

I. Şuşnea: Understanding Collective Intelligence – A Literature Review From an Engineering Perspective

Abstract: As human beings are so tightly connected in social networks, and their evolution is so much determined by cultural factors, it can be argued that all the processes commonly called “intelligence” are in fact the result of social interactions. In other words, mind is a social phenomenon. Under these circumstances, the shallowness of the research on “collective intelligence” is quite surprising. Even the definition of the term seems affected by confusion and lack of consensus. This paper contains a brief review of the literature aimed to identify the relevant pieces of knowledge on collective intelligence and related concepts, with a special emphasis on the applications of the ICT for enabling and harnessing the wisdom of crowds. In the end, we propose a new definition of collective intelligence.

Keywords: collective intelligence, swarm intelligence, crowdsourcing, wisdom of crowds, emergence, human stigmergy.

 

M. S. Abdel Aziz, M. Elsamahy, M. A. Moustafa Hassan, F. Bendary: Detecting The Loss Of Excitation In Hydro Generators Using A Neuro-Fuzzy Technique

Abstract: This research explores the impact of using the 3rd harmonics and the positive sequence components on enhancing the performance of the circuits for the detection of Loss of Excitation (LOE) in hydro-generators. In this context, investigations were conducted on a two hydro-generators power station model under a complete Loss of Excitation (LOE) conditions, and a partial Loss of Excitation (LOE) conditions in different generator loading conditions. The results of the investigations are compared with those obtained using other techniques to prove the effectiveness of the proposed solution. The time-domain simulation studies were conducted using PSCAD/EMTDC software. The results obtained are very promising

Keywords: Adaptive Neuro Fuzzy Inference System, Discrete Fourier Transform, Loss of Excitation, Hydro-Generator, Dynamic Performance, Simulation.

                       

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2016: Volume 39, Number 2

Table of Contents

S. Moldovanu, L. Moraru, D. Ștefănescu: Evaluation of the Entropy Based Contrast Enhancement Methods for MRI Images

Abstract  Full Text

P. Vijayakumar,  R. Devi: Closed Loop Controlled Forward Converter With RCD Snubber Using PI, Fuzzy Logic, And Artificial Neural Network Controller

Abstract  Full Text

S. Costache: A Perspective on Risk-Benefit Assessment of Foods and Drugs

Abstract  Full Text

I. Şuşnea: Towards a Human Centered Perspective on Ambient Assisted Living

Abstract  Full Text

L. Frangu: About Using the Vehicle Vibrations for Measuring its Speed

Abstract  Full Text

 

S. Moldovanu, L. Moraru, D. Ștefănescu: Evaluation of the Entropy Based Contrast Enhancement Methods for MRI Images

Abstract: This paper presents the significant methods used for grayscale images quality enhancement. The contrast and entropy are among the principal attributes of the brain MRI images. We investigate which method works better for image enhancement without any loss of the important information. The proposed study is validated on 80 images (40 proton density and 40 T2w). They encompass images from healthy patients, and patients with Alzheimer, Pick and cerebral calcinosis degenerative disease. The images show a wide range of the gray level values and hence various contrast levels. For a comprehensive study, a comparison between processed vs. unprocessed image has been performed.

Keywords: image processing, contrast enhancement, MRI.

P. Vijayakumar,  R. Devi: Closed Loop Controlled Forward Converter With RCD Snubber Using PI, Fuzzy Logic, And Artificial Neural Network Controller

Abstract: The research described in this work aims to find a better forward converter for DC to DC conversion.  Simulation of the conventional closed loop controlled model with RCD snubber is developed for the determination of time domain specifications, transient response and steady state analysis. Simulation of the proposed closed loop controlled forward converter with snubber, which is implemented with PI controller, fuzzy logic controller and artificial neural network (ANN) controller is presented in this paper for the switching mode power supply applications. The comparison has been done between the conventional circuit and to the proposed circuit with the determination of time domain specifications, transient response and steady state analysis, which is used to find the better converter for the SMPS system. Simulation results of the conventional circuit and the proposed circuits are presented. Its circuit operation in closed loop control model and the performance of the forward converter is described and the simulation results are presented.

 Keywords: Steady state analysis, time-domain specifications, transient response, Fuzzy systems, Neural networks and controllers.

S. Costache: A Perspective on Risk-Benefit Assessment of Foods and Drugs

Abstract: Risk-benefit assessment (RBA) is a relatively new discipline that integrates scientific knowledge on nutrition, toxicology and microbiology with human epidemiology, using common health metrics. Its possible applications in food safety or drug recommendation (How do we judge a  food ingredient  to be worth/safe to use?  How do we choose among different medications for a given condition? etc.) confer it an important role in modern society. The article below aims at offering a short perspective on what is currently available for use, as well as on the specificities of the tackled problems, and also some new ideas to further improve the frameworks.

Keywords: Risk-benefit assessment, ontology, fuzzy expert systems, hierarchical systems, weighted argumentation framework.

 I. Şuşnea: Towards a Human Centered Perspective on Ambient Assisted Living

Abstract: While reviewing some of the 150 projects that received funding under the AAL-Joint Programme, it becomes obvious that most of them exhibit several major  drawbacks. Among these, the most important is the excessive focus on technology. Many of the proposed solutions still follow the design pattern of the feeding machine presented in the famous Charlie Chaplin’s movie “Modern Times”, by treating the assisted person as an object. The research described in this paper aims to outline a different approach on the implementation of the AAL systems, by focusing on a neglected resource, which is the assisted persons themselves. We explore two possible solutions aimed to facilitate the participation of the assisted persons in the process of caregiving. First, in an “asynchronous” scheme, we consider the possibility that careseekers may act as caregivers at distinct time moments. Second, in a “synchronous” perspective, the assisted persons actually provide some sort of assistance to other people in need, either by sharing information about their activity patterns, or by participating in technology mediated social interactions similar to those established in therapy groups.

Keywords: Ambient Intelligence, Ambient Assisted Living, Smart Environment,  Activity recognition

L. Frangu: About Using the Vehicle Vibrations for Measuring its Speed

Abstract: The paper investigates the possibility of using the vibration signals of a vehicle to measure its speed. The principle of the method, the properties of the solution and some validation experimental results are presented. The method proves to be reliable, with a fair maximum error, but only works in some restrictive conditions: enough pavement excitation and a minimum speed of 20km/h. Fortunately, these conditions are satisfied by the system intended to use this method, which aims at diagnosing the pavement and the vehicle itself, while running at traffic speed.

Keywords: speed measurement, vibration sensors, crosscorrelation, vehicle, diagnosis.