Proceedings of the 12th International Conference On ...

Proceedings of the 12th International Conference On Virtual Learning

OCTOBER 28, 2017

MODELS & METHODOLOGIES, TECHNOLOGIES, SOFTWARE SOLUTIONS Phase II - Period 2010-2020: e-Skills for the 21st Century

, 2017

ICVL and CNIV Partners: Grigore Albeanu, Mircea Popovici, Radu Jugureanu, Adrian Adăscăliței, Olimpius Istrate www.icvl.eu

www.cniv.ro

ISSN: 1844-8933 - ISI Proceedings, accessed via Web of Science, since year 2006

© Bucharest University Press Şos. Panduri, nr. 90-92, BUCUREŞTI – 050663;Tel.Fax: 021.410.23.84 E-mail: [email protected] Librărie online: www.librarie-unibuc.ro Centru de vânzare: Bd. Regina Elisabeta, nr. 4-12, Bucureşti, Tel. (004) 021.305 37 03 Web: www.editura-unibuc.ro

Desktop publishing: Cătălin Ionuț Mihai

The 12th International Conference on Virtual Learning ICVL 2017

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Video vs Audio Input for Developing Listening Skills in an Online EFL Course

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Natalia Sazonova, Julia Troshina Methodical aspects of remote trainings for unemployed people 13

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126 Mikhail Kuznetsov Interactive forms of teaching ―pilgrim tourism‖: creation and use in distance training of managers of tourism

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Polina Ananchenkova, Svetlana Bazhenova The use of e-Learning technologies in orphans training programs 15

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136 Olga Volkova, Oksana Besschetnova, Polina Ananchenkova Application of educational technical tools foranalysis the color of essential oils from white oregano Zlatin Zlatev, Stanka Baycheva Online Collaboration for Improving the Quality of Training Course for Craft Tapestry In Egypt Nedeva Veselina, ElNasharElSayed A., Zlatev Zlatin The Benefits of G Suite for Education on the Experience of Trakia University – Stara Zagora Nedeva Veselina, Karabaliev Miroslav The Benefits of Combining Social Media and e-learning for Training Improving in FTT Yambol Nedeva Veselina, Dineva Snejana Options for e-evaluation of the theoretical training of students of pedagogical disciplines

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Ivanka Nikolaeva Shivacheva-Pineda Metasystems Learning Design Theory and Information Visualization 21

170 Elena Railean Incorporating Group Projects in E-Learning: Challenges for the Educators

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176 Joanna Dzionek-Kozłowska, Tony Broadwick Identity Criteria, Knowledge Formation and Conformity Conceptsin Learning Space

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Dragoș Iliescu Chaos as Art principle - Reason for Composition Imbalance 24

Vaska Sandeva, Katerina Despot, Tamara Veselinova

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Scientific Committee/Technical Programme Committee / Executive reviewers Dr. Grigore Albeanu

Professor of Computer Science, Spiru Haret University, Research Center for Mathematics and Informatics, Romania

Dr. Adrian Adascalitei

Professor of Electrical Engineering Fundamentals, Technical University "Gh. Asachi", Faculty of Electrical Engineering, Iasi, Romania

Dr. Michael E. Auer

Professor of Electrical Engineering, Carinthia University of Applied Sciences, School of Systems Engineering, Villach, Austria General Chair, ICL – Interactive Computer aided Learning, http://www.icl-conference.org/

Dr. Angelos Amditis

Research Associate Professor (INTUITION Coordinator, http://www.intuition-eunetwork.net/), Institute of Communication and Computer Systems, ICCS- NTUA Microwaves and Optics Lab, ATHENS, GREECE

Professor of Computer Science (Virtual Reality), Mathematics Dr. Rareş Boian and Computer Science, "Babes-Bolyai" University of ClujNapoca, Romania, http://www.ubbcluj.ro Dr. Grigore Burdea

Professor of Applied Science (Robotics), Rutgers – The State University of New Jersey, Director, Human-Machine Interface Laboratory, CAIP Center, USA

Dr. Pierre Chevaillier

LISYC – Laboratoire d'Informatique des Systèmes Complexes, CERV – Centre Européen de Réalité Virtuelle (European Center for Virtual Reality), France, European INTUITION Consortium member

Dr. Mirabelle D' Cruz

Virtual Reality Applications Research Team (VIRART), School of Mechanical, Materials and Manufacturing Engineering (M3),University of Nottingham University, U.K., European INTUITION Consortium member

Dr. Steve Cunningham

Noyce Visiting Professor of Computer Science, Grinnell College, Grinnell, Iowa, USA Department of Computer Science

Dr. Ioan Dzitac

Professor of Computer Science, Executive Editor of IJCCC, Agora University,Oradea, Romania

Dr. Victor Felea

Professor of Computer Science, ―Al.I. Cuza‖ University of Iasi, Faculty of Computer Science, Romania

Dr. Horia Georgescu

Professor of Computer Science University of Bucharest, Faculty of Mathematics and Computer Science, Romania

University of Bucharest and “L. Blaga” University of Sibiu

18 Dr. Radu Gramatovici

Professor of Computer Science University of Bucharest, Faculty of Mathematics and Computer Science, Romania

Dr. Felix Hamza-Lup

Professor of Computer Science at Armstrong Atlantic State University, USA

Dr. Angela Ionita

Romanian Academy, Institute for (RACAI), Deputy Director, Romania

Dr. Olimpius Istrate

University of Bucharest, Faculty of Psychology and Educational Sciences, Bucharest, Romania www.elearning.ro

Prof. Radu Jugureanu

AeL eContent Department Manager, SIVECO Romania SA, Bucharest, Romania www.siveco.ro

Dr. Bogdan Logofatu

Professor at University of Buchares, Faculty of Psychology and Educational Sciences, Bucharest, Romania www.unibuc.ro

Artificial

Intelligence

Dr. Jean-Pierre ISEN Brest (école d'ingénieurs généralistes des hautes technologies), France, European INTUITION Consortium member Gerval Dr. Daniel Mellet-d'Huart

AFPA Direction de l'Ingénierie Unité Veille sur la Réalité Virtuelle MONTREUIL, European INTUITION Consortium member

Dr. Marius Măruşteri

Professor in the Department of Informatics, University of Medicine and Pharmacy Târgu - Mureş, Romania

Dr. Mihaela Oprea

Professor in the Department of Informatics, University of Ploiesti, Romania

Thomas Osburg Intel Education Manager, Europe www.intel.com/education

Dr. Harshada (Ash) Patel

Virtual Reality Applications Research Team (VIRART)/Human Factors Group Innovative Technology Research Centre, School of Mechanical, Materials and Manufacturing Engineering, University of Nottingham, University Park, Nottingham, U.K., European INTUITION Consortium member

Professor at Computer Science Department of Western Dr. Dana Petcu University of Timisoara, Director at Institute e-Austria Timisoara, Romania Professor of Computer Science, Ovidius University of Dr. Dorin Constanta, Romania / CERV– European Center for Virtual Mircea Popovici Reality (France, European INTUITION Consortium member) Professor of Computer Science, Director of the Advanced Dr. Ion Roceanu Distributed Learning Department, "Carol I" National Defence University, Bucharest, Romania


Dr. Maria Roussou

Virtual Environments and Computer Graphics Lab., Department of Computer Science, University College London, U.K., European INTUITION Consortium member

Dr. Ronan Querrec

CERV – Centre Européen de Réalité Virtuelle (European Center for Virtual Reality), Laboratoire d'Informatique des Systèmes Complexes, France

Dr. Luca-Dan Serbanati

Professor of Computer Science, University "Politehnica" of Bucharest, Romania and Professor at the "La Sapienza" University, Italy, European INTUITION Consortium member

Dr. Leon Tambulea

Professor of Computer Science, "Babes-Bolyai" University, ClujNapoca, Romania

Dr. Jacques Tisseau

CERV – Centre Européen de Réalité Virtuelle (European Center for Virtual Reality), LISYC – Laboratoire d'Informatique des Systèmes Complexes, France, European INTUITION Consortium member

Dr. Alexandru Tugui

Professor at ―Al. I. Cuza‖ University of Iasi, FEAA, ―Al. I. Cuza‖ University Iasi, Romania

Dr. Marin Vlada

Professor of Computer Science, University of Bucharest, Romania, European INTUITION Consortium member

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Research papers – Major Topics The papers describing advances in the theory and practice of Virtual Environments for Education and Training (VEL&T), Virtual Reality (VR), Virtual Laboratory (VirtLab), Information and Knowledge Processing (I&KP), as well as practical results and original applications. The education category includes both the use of Web Technologies, Computer Graphics (CG) and Virtual Reality Applications, New tools, methods, pedagogy and psychology, Case studies of Web Technologies and Streaming Multimedia Applications in Education, experience in preparation of courseware. Thematic Areas / Sections    

MODELS & METHODOLOGIES (M&M) TECHNOLOGIES & VIRTUAL LABORATORY (TECH) SOFTWARE SOLUTIONS (SOFT) "Intel® Education" – Innovation in Education and Research (IntelEdu)

Application of educational technical tools foranalysis the color of essential oils from white oregano Zlatin Zlatev1, Stanka Baycheva1 (1) Trakia University - Stara Zagora, Faculty of Engineering and Technology 38 Graf Ignatiev Str., 8600 Yambol, BULGARIA E-mail:zlatin.zlatev[at]trakia-uni.bg

Abstract The analysis of known literature show that there are a few publications related to measurement of color of white oregano essential oils. There are no known publications in accessible literature of measurement of color of these essential oils by document camera. Established is the possibility of measuring color with document camera in direction of determining the color characteristics of essential oils.The effectiveness of this type of measurement is confirmed by the study results. Keywords:Color measurement, Discriminant analysis

Document

camera,

Principal

component

analysis,

1 Introduction Extracts and essential oils are an alternative, especially in the treatment of resistant strains of yeast. They have anti-tumor and immunomodulatory activity, mainly due to their various phenolic and terpenoid antioxidant compounds, some of which exhibit antimicrobial activity Color of these essential oils is important for their commercial value(Ali et al., 2015; Georgieva et al., 2016).These properties reveal potential opportunities for searching for Bulgarian essential oils with inhibitory action. The white oregano (Origanum vulgare subsp. Hirtum (Link) Jetswaart) belongs to the family Lamiaceae. Most of the family members, including white oregano, contain essential oils, which determines their wide use as spices, medicinal plants, raw materials in perfumery and cosmetics (Dobreva, 2005). The production and analysis of essential oils of white oregano are the subject of training and research at the Department of Food Technologies at the Faculty of Techniques and Technologies in Yambol, Bulgaria. The training in the direction is done with modern means of presentation. The document camera enables the presentation persistently on objects with high accuracy and speed. The device can in like manner be used to make pictures or video of objects and substances, a couple of models are totally organized with the software tools and hardware of interactive white boards. The document camera can be used for view of static and dynamic objects for showing of examinations, increase picture and presentation amplified microscopic objects(Stoykova, 2014). In addition to the main features of the presentation, the contemporary level of science and technology, in the available literature (Nedeva et al., 2013; Baycheva et al., 2016) it is stated that a document camera can be used to measure the color, dimensions, surface characteristics of biological objects, food and technical products. The aim of this report is to establish the possibility of measuring color with document camera with direction of determining the color characteristics of oregano essential oils.

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2 Exposure 30g of the fresh plant, dry leaves and inflorescences of Origanumheracleoticum L.were distilled by hydrodistillation for a period of about 1h using Clevenger-type apparatus. The oil was dried over anhydrous sodium sulphate to remove traces of moisture and stored in a vial inside a refrigerator at 4oC until use. To obtain the color characteristics of essential oils from different parts of the plant, an Epson DC11, 5MP camera using diode lighting is used. To distinguish between oils of different parts of the plant can be used in different color models. One of the tasks is to determine what color model allows the subject to be detached under the specific conditions.The following color models are used: RGB, HSV, Lab, LCH, CMYK. Method principal component analysis (PCA) is used to select the color features. To distinguish the individual essential oils a discriminant analysis with three non-linear separating functions is used (Mladenov et al., 2015). 3 Results and discussion Figure 1 shows the developed experimental setting for measuring the color of essential oils with a document camera.The system consists of a personal computer with image acquisition, processing, and image analysis software that sets the color components for the white oregano oils tested. The orientation of the image is adjusted by a rotating mechanism of document camera. Presented are samples of essential oils of fresh plant, dry leaves and inflorescence. From the analysis of the principal components, it was found that the informative color components for the analyzed white oregano essential oils are B (RGB), G (RGB), H (HSV), L (LAB), L (LCH), M (CMYK).These color components are used as features for classification of the three types of essential oils.

Figure 1. Laboratory setup for measurement of white oregano essential oil color 1-personal computer with software; 2-document camera; 3-measured samples


a) byL (Lab)color component, e=18%

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b) by M (CMYK)color component, e=2%

Figure2. Examples of separability of essential oils by color components by nonlinear discriminant analysis

Figure 2 presents results for the separability of essential oils from different parts of the white oregano plant by non-linear discriminant analysis.In the example shown, using the L (Lab) color component, there is overlapping the values of this color model for the three types of essential oils.Using the M (CMYK) color component, a clear distinction is made between dry-leaf essential oil pixels, while the fresh stem and dry inflorescence pixels partially overlap. Table 1 lists the values of the common classification error among the color components of the three types of essential oils.High values of this error are observed, reaching up to 53% when using the L (Lab) color component.With error of up to 5%, the three types of essential oils of M (CMYK) and B (RGB) color components can be simultaneously distinguished using a quadratic separating function of the discriminant classifier. Table 1. Common error (e,%) with simultaneous classification across classes e,% between p1- dry inflorescences; Color component Discriminant function p2 - fresh plant; p3 - dry leaves. Quadratic G (RGB) Diagquadratic Mahalanobis Quadratic B (RGB) Diagquadratic Mahalanobis Quadratic H (HSV) Diagquadratic Mahalanobis Quadratic L (Lab) Diagquadratic Mahalanobis Quadratic L (LCH) Diagquadratic Mahalanobis Quadratic M (CMYK) Diagquadratic Mahalanobis

19% 21% 26% 5% 16% 19% 43% 51% 50% 53% 49% 39% 32% 29% 31% 2% 13% 22%


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Conclusion The report presents results from analysis of the possibility of measuring color of white oregano essential oils by document camera in course of deciding the basic features of these oils. A laboratory set-up has been developed to facilitate the measurement process.An advantage of this arrangement is that a learning technical tool is used. No additional equipment for measuring the color of essential oils is required except for a document camera which also serves to present the results of the measurements. It has been found that a suitable color feature to distinguish essential oils from different parts of the white oregano plant are the M (CMYK) and B (RGB) color components, because in their use the common error of the simultaneous classification of the three essential oils is up to 5%. Research will be continued with an assessment of the possibility of applying spectral characteristics in the visible range using the full spectrum of essential oil images. Acknowledgements The work on this article is related to scientific project 5.FTT/30.05.2016 "Technological research to obtain flavors from spices". References 1. 2. 3. 4. 5.

6. 7.

Ali, B., Al-Wabel, N., Shams, S., Ahamad, A., Khan, A., Anwar, F. (2015): Essential oils used in aromatherapy: A systemic review. Asian Pacific Journal of Tropical Biomedicine, 5, 8, 601-611. Baycheva, S., Zlatev, Z., Dimitrova,A. (2016): Investigating the possibilities of document cameras for quality assessment of foodstuffs by measuring of color.ICVL 2016, 204-208. Dobreva, K. (2005): Nutritional and Medicinal Properties of Spices. Trakia Journal of Sciences, 3, 3, 198-200 (in Bulgarian). Georgieva, Ts., Paskova, N., Gaazi, B., Todorov, G., Daskalov, P. (2016): Design of wireless sensor network for monitoring of soil quality parameters. Agriculture and Agricultural Science Procedia, 10, 431-437. Mladenov, M., Dimitrov, E., Dejanov, M., Penchev,S. (2014): Hyperspectral imaging system based on „point scan‖ spectrophotometer. Proceedings of International Conference "Automatics and Informatics'2014", Sofia, Bulgaria, I-39-I-42 Nedeva, V., Dineva, S., (2013): Design and development of efficient e-learning courses, ICVL 2013, Romania, 108-115. Stoykova, V. (2014): Evaluation of the application of interactive presentation systems in higher education. ARTTE, Applied Researches in Technics, Technologies and Education, Journal of the Faculty of Technics and Technologies, Trakia University, 2, 3, ISSN 1314-8796, 286-300.