Scientific Program

Conference Series Ltd invites all the participants across the globe to attend 4th International Conference and Expo on Computer Graphics & Animation Berlin, Germany.

Day 2 :

Keynote Forum

Yonghuai Liu

Senior Lecturer, Aberystwyth University, UK

Keynote: 3D shape matching for object modelling

Time : 10:00-10:35

Computer Graphics 2017 International Conference Keynote Speaker Yonghuai Liu photo
Biography:

Yonghuai Liu is Senior Lecturer in Aberystwyth University. He completed his PhD (1993-1997) and PhD (1997-2000) respectively from Northwestern Polytechnical University, P. R. China and The University of Hull, UK.  In 1997, during his PhD, he received an Overseas Research Students (ORS) award.  He also Editorial board member of American Journal of Educational Research published by Science and Education: an open access and academic publisher from 2015 and associate editor in several journals. His research interests computer graphics, pattern recognition, visualization, robotics & automation, 3D imaging, analysis and its applications.

Abstract:

3D data can be easily captured nowadays using the latest laser scanners such as Microsoft Kinect. Since the scanners have limited field of view and one part of an object may occlude another, the captured data can only cover part of the object of interest and is usually described in the local scanner centred coordinate system. This means that multiple datasets have to be captured from different viewpoints. In order to fuse information in these datasets, they have to be registered into the same coordinate system for such applications as object modelling and animation. The purpose of scan registration is to estimate an underlying transformation so that one scan can be brought into the best possible alignment with another. To this end, various techniques have been proposed, in which the feature extraction and matching (FEM) is promising due to its wide applicability to different datasets subject to different sizes of overlap,  geometry, transformation, imaging noise, and clutters.  In this case, the established point matches usually include a large proportion of false ones.

3D data can be easily captured nowadays using the latest laser scanners such as Microsoft Kinect. Since the scanners have limited field of view and one part of an object may occlude another, the captured data can only cover part of the object of interest and is usually described in the local scanner centred coordinate system. This means that multiple datasets have to be captured from different viewpoints. In order to fuse information in these datasets, they have to be registered into the same coordinate system for such applications as object modelling and animation. The purpose of scan registration is to estimate an underlying transformation so that one scan can be brought into the best possible alignment with another. To this end, various techniques have been proposed, in which the feature extraction and matching (FEM) is promising due to its wide applicability to different datasets subject to different sizes of overlap,  geometry, transformation, imaging noise, and clutters.  In this case, the established point matches usually include a large proportion of false ones.

This talk will focus on how to estimate the reliability of such point matches from which the best possible underlying transformation will be estimated. To this end, I will first show some example 3D data captured by different scanners, from which some issues can be identified that the registration of multiple scans is challenging. Then I will review the main techniques in the literature. Inspired by the AdaBoost learning techniques, various novel algorithms will be proposed,  discussed and reviewed. These techniques are mainly based on the real and gentle AdaBoost respectively and include several steps: weight initialization, underlying transformation estimation in the weighted least squares sense, estimation of the average and variance of the errors of all the point matches, error normalization, and weight update and learning. Such steps are iterated until either the average error is small enough or the maximum number of iterations has been reached. Finally, the underlying transformation is re-estimated in the weighted least squares sense using the weights estimated.

I will thirdly validate the proposed algorithms using various datasets captured using Minolta Vivid 700, Technical Arts 100X, and Microsoft Kinect and show the experimental results. To show the robustness of the proposed techniques different FEM methods will also be considered for the establishment of the potential point matches: signature of histograms of orientations (SHOT) and unique shape context (USC), for example. Finally, I will conclude the talk and indicate some future work.I will thirdly validate the proposed algorithms using various datasets captured using Minolta Vivid 700, Technical Arts 100X, and Microsoft Kinect and show the experimental results. To show the robustness of the proposed techniques different FEM methods will also be considered for the establishment of the potential point matches: signature of histograms of orientations (SHOT) and unique shape context (USC), for example. Finally, I will conclude the talk and indicate some future work.

  • Computer Vision & Pattern Recognition | Imaging and Image Processing | Visualization | Human-Computer Interaction
Location: v. Hardenberg
Speaker

Chair

Yonghuai Liu

Aberystwyth University, UK

Session Introduction

Jiri Navrátil

Head of R&D CESNET, Czech Republic

Title: Cyber performance, new experiences on technical and artistic collaboration across internet

Time : 10:35-11:00

Speaker
Biography:

Jiri Navrátil received his PhD in Computer Science from Czech Technical University at Prague in 1984. He worked for 30 years at Computing and Information Center of CTU in different positions linked with High Performance Computing a Communications. During his several sabbatical leaves he worked in Switzerland, Japan and USA in the field of networking. Since 2006 he started work for CESNET - Czech Education a cientific Network as leader of group supporting special research applications using high speed Internet. In last years he participated on several multimedia performances organized in frame of large international cooperation in different fields.

Abstract:

CESNET is a research organization with research focused on networking and Internet applications including video processing. CESNET also plays a role of the National Research and Educational Network (NREN) in the Czech Republic providing e-infrastructure (high-speed network, computing services and data storage facilities) to academic users in the country. The CESNET network is a part of the pan European network GEANT, which connects all academic networks in Europe and provides many links to Asia, Africa, South America and the US. It creates an ideal environment for collaboration in many directions of science, medicine and culture.

Over the years CESNET has developed two technologies that allow transmission of HD and UHD videos over a network - Ultra Grid as a software-based solution and MVTP as hardware-accelerated FPGA-based solution. Both technologies are widely used as technological tools in the events which needs high quality and low latency video. In the last several years we organized together with several partners (Music and Dance Faculty of the Academy of Performing Arts in Prague, Konic Theatre Barcelona, New World Symphony Miami), KISTI Korea, RDAM Royal Danish Academy of Music and APAN - Cultural Work Group several Cyber Performances (CP) as joint events in which participated artists from many countries. The main goal of such CPs is to demonstrate capability of the current Internet to arrange live collaboration and on-line interactions of performing artists (musicians, dancers, animators) across countries and continents using modern multimedia tools.

These CPs are not simple and cheap, they need long time planning and preparation, and finally narrow collaboration of many people from different fields (artists, technicians, networkers). This is a reason why they are usually organised only in the frame of very important IT globally significant events such as Supercomputing, APAN or Internet2 meetings, TNC conferences, Cinegrid workshops, GLIF meetings, etc. From the past we can remind successful CP “Dancing Beyond Time” on 36th APAN in Daejeon, South Korea and CP “Dancing in Space” on 37th APAN meeting in Taiwan or “Walking in historical Prague” on Internet2 Meeting in Honolulu, USA. The Network Performing Arts Production Workshop (NPAPWS) is an event connecting the creators, artists and technicians working in this field from around the world to present their projects and discuss ways to proceed in this area. CESNET has participated in several previous NPAPW workshops, with a distributed concert “Piano and Violin” in London 2015 and “Organs and Trumpet” in Miami 2016. Our current colleagues Ian Biscoe and Jana Bitter presented on NPAPWS 2016 an outdoor CP “Bridge to Everyone”.

In this conference CGA2017, we will describe our experiences from the last CP prepared for NPAPW 2017 in Copenhagen called “Similarities”. The story of the performance is the following: Performers are the guides on the journey through their locations. Dancers guide the audience through their location via movement, which is directly interacting with and interpreting various features of their respective location (shapes, forms, colours, structures of the place). Musicians are providing a unifying soundtrack for both dancers and ideally, also musically react on the dancers' movements. The guided journeys (local performances) are captured on video, and the eye of the camera provides the progression of the resulting performance; a real-time-made film for Copenhagen. As the eye of the camera is selective, it reveals the location to the audience only gradually. The journey goes from the micro world of details and very close-up video through to the full image of each location. In the beginning, the detailed shapes and forms of each location seem to be very similar without being specific to one location, and then as the camera zooms out during the course of the performance, the viewer begins to recognize more and more the specificity of the location. Performers communicate with other locations and performers (because they can see video from the other locations) by searching similarities, similar shapes, structures or forms.

Teams from CZ, US, ES and DK jointly participated in this event. The team included network engineers and researchers, audio-visual technicians, programmers, musicians, dancers, scene designers and choreographers, with some people spanning multiple areas. The event began simultaneously in Prague, Czech Republic (CZ), Barcelona, Spain (ES), US (Miami) and Copenhagen (DK). The music performance was captured by a 4K camera and delivered from NTK National Technical Library to Barcelona.

Break:

Networking & Refreshment Break: 11:00-11:15 @ Foyer

Speaker
Biography:

Professor Anna Yankovskaya obtained her DSc in Computer Science from Tomsk State University in Russia. She is currently a head of Intelligent Systems Laboratory and a professor of the following universities: Tomsk State University of Architecture and Building, National Research Tomsk State University, Tomsk State University of Control Systems and Radioelectronics, National Research Tomsk Polytechnic University. She is an author of more than 650 publications and 7 monographies. Her scientific interests include mathematical foundations for test pattern recognition and theory of digital devices; artificial intelligence, intelligent systems, learning and testing systems, blended education and learning; logical tests, mixed diagnostic tests, cognitive graphics; advanced technology in education.

Abstract:

The idea of n-simplex application, and the theorem for decision-making, and its justification for intelligent systems were proposed by author in 1990 year. The mathematical visualization of the object under investigation mapping in n-simplex is given. For the first time 2-simplex prism was proposed by author and Yamshanov for decision-making and its justification within intelligent dynamic diagnostic systems in 2015 and within intelligent dynamic predictive systems in 2016. 2-simplex prism is a triangular prism which has identical equilateral triangles (2-simplices) in its bases. The height of the 2-simplex prism in intelligent dynamic systems corresponds to the dynamic process time interval under consideration. The results of each of the diagnostic, predictive decisions are shown in the form of points in 2-simplices disposed on cross-sections of 2-simplex prism. The height of 2-simplex prism is divided into a number of time intervals. The number of time intervals corresponds to the number of diagnostic or predictive decisions. The distance between two adjacent 2-simpleces is directly proportional to the time interval between adjacent 2-simpleces. For intelligent geoinformation systems the height corresponds to the distance from initial point to final destination. In this case the distance between two adjacent 2-simpleces corresponds to the distance between two points on a map. In this paper the application of 2-simplex prism cognitive graphic tool for a variety of problem areas for intelligent dynamic diagnostic and predictive systems. The problem areas are as follows: medicine, ecobiomedicine, ecology, geology, geoecology, emergency medicine and education. For the first time the use of 2-simplex prism is proposed for intelligent geoinformation systems. In the paper the mathematical basics of intelligent systems construction and the results of decision-making and its justification in intelligent system for organizational stress and depression diagnostic, and intelligent learning and testing systems in the field of discrete mathematics and power electronics are presented.

Sheng-Ming Wang

Department of Interaction Design, National Taipei University of Technology, Taiwan

Title: Design thinking for developing a case-based reasoning emotional robot

Time : 11:40-12:05

Speaker
Biography:

Sheng Ming is an associate professor in human-computer interaction technology and service design, Department of Interaction Design at National Taipei University of Technology. He received his MS degree in Building and Planning, PhD degree in School of Computer Science, University of Leeds, UK, in 1998. He worked professionally with number of interdisciplinary integration project for smart interaction technology development and serious game development. He known for natural user interface technology development projects for future classroom, which were funded by the Ministry of Science and Technology, Taiwan.

Abstract:

Research has shown that if affective computing technology and machine learning mechanisms can be introduced to enhance interaction and feedback between interactive service robots (ISRs) and users. This study integrates the concept and method of design thinking, emotion-detection technology, and case-based reasoning (CBR) to simulate the service situation of an interview, and thus to develop a prototype emotion-sensing robot (ESR) system. The results of the experiment were then used to analyze the effectiveness of integrating corresponding technologies as well as the value, utility, and affordance of the developed system.

The empirical verification of this study begin with a pilot test to create a basic database based on a simulated case, and initial weights were assigned to each attributing factor. Then, the prototype system was tested using participants from various fields of expertise and backgrounds, and differences in interaction and feedback between participants and the system were analyzed. These differences were then introduced into the system as references to modify the weights of each attributing factor when testing with participants from different professional areas. Empirical results showed that the emotional responses of participants during the simulated interview were consistent with those hypothesized in the user journey map. The results also revealed that blink rate was a significant determinant of the perception of tension. The predictive power in detecting facial expressions, analysis of semantic emotions, and accuracy of keyword matching related to perception of tension appeared to differ significantly between participants from different fields of expertise and backgrounds. Therefore, assigning more weight to detection factors that correlate specifically with participant emotions helps to reveal the utility of the prototype of the ESR system. Despite meeting both user requirements and user-oriented design requirements, as well as demonstrating the affordance of the system in this study, further improvements can be made. Future studies are necessary to enrich the cases in the database of CBR system and establish a foundation of machine learning principles for ESRs.

Alexandr Y Petukhov

Lobachevsky Nizhny Novgorod State University, Russia

Title: The theory of information images: an approach to modeling the cognitive activity of the human brain

Time : 12:05-12:30

Speaker
Biography:

Petukhov Aleksandr Yurevich is the head of the laboratory "Modeling the socio-political processes" in Lobachevsky Nizhny Novgorod State University. He is also a head of several large research projects in the field of information influence on the mind human (supported by grants from the President of the Russian Federation, Russian Research Foundation, etc.).

Abstract:

The presentation will presents the basic principles of the Information Image Theory and a mathematical model developed using it. The hierarchy of information images in an individual mind, which determines hisher real and virtual activity, is considered. Algorithms for describing transfer and distortion of information images by individuals in the communication process are constructed. To corroborate the theory experimentally, the bilingual Stroop test is used. The results of the test are interpreted using the introduced theory, and are then compared with the results of computer modeling based on the theory. It is shown that Information Images can be used not only to explain a number of cognitive processes of the human mind, but also to predict their dynamics in a number of particular cases.

Speaker
Biography:

Chieh-Ju Huang is Lecturer in Design, Department of Commercial Design at Chienkuo Technology University. She worked professionally with Service Design, Design Thinking, User Experience, and Educational Board Game Design. Now she is PhD Candidate in Doctoral Program in Design, College of Design, National Taipei University of Technology.

Abstract:

This project use "Methane Ice formation and mining techniques" as the theme to transfer their associated knowledge to general science education based on storytelling, scenario design, character design, interaction design and hologram projection technologies. There are two learning systems had been developed in this project. The first learning system is called "The Animation Learning System for Methane Ice Formation and Energy Transformation". The second learning system is called "The Hologram Projection Learning System for the Knowledge Kernel and Structure Recognition of Methane Ice". Two activities had been held to invite elementary school students and high school students to learn the science of Methane Ice by the two systems developed in this project. The evaluation results show that the usability of these two systems is very good for both elementary school and high school students. The result gets rid of the factors that the learning achievement of Methane Ice science learning been affected by unfriendly system design. Further learning achievement evaluation based on ARCS learning motivation model will be performed to show the affordance of the Methane Ice science learning mechanism proposed in this project.

Break:

Lunch Break 12:55-13:40 @Restaurant Theodor

Speaker
Biography:

Mohammad Ali Mirzaei recieved his PhD degree from École d'ingénieur de Arts Et Metier in Paris, France and serves as full-time reseacher at European Nuclear Tesearch Center (CERN) at ATLAS experiment in Geneva, Switzerland. His reseach interest includes Imae processing acceleration, Asociated Memory Chips, FPGA, ASIC and heterogenous systems.

Abstract:

Image processing have been effectively employed in a lot of engineering and research fields such as biology, medicine, robotics, unmanned areal and terrain mobile vehicles, simulators, military, media, live streaming, web-based applications and so on. Real-time image processing using different hardware architecture founds thousands of very interesting applications ranging from robotics to computer aided navigation and simulators. It seems this field of image processing is very demanding because the research outcome can be a semi-industrial prototype, which will be marketed with a little engineering work or directly can be used in industry. So far, a lot of hardware platforms have been developed for this purpose including platforms based on FPGA, GPU, GPCPU, Mixed GPU-FPGA or CPU-FPGA. Recently, a lot of efforts have been made to design ASICs for image processing needs and to combine these ASICs with abovementioned platforms to make high performance heterogeneous architecture. The aim is to accelerate image-processing algorithms beyond the current frontier of the technology.
In this talk, I am going to present you some of the very latest efforts in this regards.

  • Video Presentation
Location: v. Hardenberg
Speaker

Chair

Lars Linsen

Westflische Wilhelms-Universitt Mnster, Germany

Session Introduction

Biju Dhanapalan

Nanyang Technological University, Singapore

Title: Kathakali and motion capture: An experimental dialogue between Indian classical dance and technology

Time : 14:05-14:30

Speaker
Biography:

Biju Dhanapalan is Associate Professor in the School of Art, Design and Media at Nanyang Technological University, Singapore. He is a leading visual effects director; he has designed and directed animation and VFX sequences for Indian, English, French and Hollywood productions for over a hundred feature films, ‘3 Idiots’, ‘PK,' and ‘Neerja’ to name a few. Besides features, he has lent his expertise across various verticals: art installations, new media, and commercials. His transdisciplinary training - Engineering and Industrial Design - has led him to design and develop custom devices and gears and various filming equipment including 3D stereoscopy rigs.

Abstract:

Kathakali, one of India’s eight classical dance forms, is a highly stylized and opulent dance-drama that originated nearly five hundred years ago in a southern state of India. Kathakali performers draw from a vast dictionary of highly advanced and sophisticated movements, a repertoire of gestures, and expressions. Motion capture was employed to encapsulate the temporal, three-dimensional data of a chosen Kathakali performance, in the motion capture laboratory at the School of Art, Design and Media, Nanyang Technological University, Singapore.
The analysis of the acquired motion capture data of Kathakali has revealed several possibilities. The numerical nature of the data facilitates direct admission to mathematicians, scientists, and animators into the complex and diverse kinetics of classical dance. Thus, lending a deeper understanding and meaningful abstractions of kinetic art. This research has opened possibilities of developing digital tools for classical dance pedagogy. Also an integrated archival of classical dance, pivoting on 3D motion capture with video and audio recording along with other pertinent data, can also be undertaken. The derivatives of the temporal data are being employed to drive the key parameters of an abstract animation film by the author himself.
By archiving a piece of a five-hundred-year-old tradition, the speaker has arguably tapped into the tangible and intangible heritage of an ancient civilization. This experimental dialogue between classical art and technology serves as a platform for a meaningful collaboration between ancient cultural heritage and rapidly advancing technology.

Masuod Akbarzadeh

Polyhedral Structures Laboratory, University of Pennsylvania, USA

Title: On goemetry and equilibrium of forces in 3D

Time : 14:30-14:55

Speaker
Biography:

Masoud Akbarzadeh is a designer with a unique academic background and experience in architectural design, computation, and structural engineering. He is an Assistant Professor of Architecture in Structures and Advanced Technologies and the Director of the Polyhedral Structures Laboratory (PSL). He holds a D.Sc. from the Institute of Technology in Architecture, ETH Zurich, and two degrees from MIT: a Master of Science in Architecture Studies (Computation) and a MArch, the thesis for which earned him the renowned SOM award.

Abstract:

Geometry is commonly known as a branch of mathematics concerned with questions of shape, size, the relative position of figures, and the properties of space. Fewer know about the importance of geometry in physics and equilibrium of forces. This presentation will expand on the use of geometry in describing the static equilibrium of the complex spatial system of forces, and more importantly, how it would help structural designers and architects to design highly efficient structures. This branch of science is called graphic statics where the equilibrium of forces in a structural form is described geometrically/graphically. The geometric representation of forces provides an unprecedented control for designers to not only design the geometry of the system, but also design and optimize its internal forces. Traditional graphic statics is based on 2D reciprocal diagrams formulated by Maxwell in 1864 and is quite limited in dealing with a 3D system of forces. This presentation will specifically expand the current research of the author and show the new development of graphic statics in 3D based on a 150-year proposition by Rankine in Philosophical Magazine. In addition, it shows how the well-known computer graphic techniques such as aggregation/or subdivision of polyhedral cells can be used in 3D graphic statics and to generate non-conventional, expressive efficient structural forms.

Speaker
Biography:

Joshua graduated as a Systems Engineer with emphasis in systems simulation, optimization and decision analysis in 1985. In Caracas-Venezuela, he was staff to the strategic planning Vice-President of Union Bank S.A.C.A. between 1986 and 1988. He became a consultant for the oil industry together with the firm Sercontec C.A. between the years 1988 and 1991. He was co-founder and Director of BDS (Banking Decision Services C.A.) in between 1991 and 1994. Between 1986 and 1993, he taught systems simulation, decision analysis, time series analysis, systems dynamics, system concepts and mathematical modeling at the Universidad Metropolitana (Metropolitan University) where he supervised seven (7) thesis projects, most of them simulation models and decision support systems. In 2009 he completed a Master’s thesis in Cognitive Neuroscience, by the name of “The Brain of Melchizedek” at Otago University in New Zealand. Since 2011, he travelled to different nations in his capacity of Ambassador of Peace, delivering seminars, TV interviews, radio talks and conferences to large audiences at universities, medical clubs and hospitals about the integration between Scientific Knowledge and Spiritual Wisdom. He has also been engaged in research in systems cognitive neuroscience since 2012, co-authoring several publications including work in brain dynamics, applied mathematics, systems modeling and philosophy concerning the understanding of human consciousness, the creation of knowledge and meaning and values based decision making. In 2015 Joshua led the research group at The Embassy of Peace in Whitianga, New Zealand for the International Synchronization Heart Rate Variability (HRV) Study conducted by the HeartMath Institute. Recently, he has also authored and co-authored several publications both in the Journal of Consciousness Exploration & Research and in the Scientific GOD Journal. Currently, he is in preparation for the completion of a PhD dissertation on matters related to human consciousness and the biophysics of brain dynamics.

Abstract:

This presentation is inspired by the work of Walter J. Freeman on brain field dynamics and its implications in the understanding of cognitive functions, intentional action and decision-making. The main purpose is to present a novel way of applying the art of encephalography. We have moved from the mere plotting of brain signals in the time domain to spatio-temporal frames that produce a brain dynamics movie with power to give us different visual patterns of behavior in various conditions based on experimental data produced by different stimuli. The methodology of brain movie making is briefly described to explain how large quantities of brain data images are processed to produce the movies which are then displayed in order to visually discriminate between different cognitive states, as well as the different stages of cognitive processes related to the cycle of creation of knowledge and meaning so vital for decision-making. It is proposed that careful observation of each of these movies will facilitate a learning process, in order to: (a) identify different structures and visual patterns where large-scale synchronizations and desynchronizations are observed together with the temporal evolution of the different stages of the hypothesized cycle of creation of knowledge and meaning and (b) facilitate the study of brain dynamics across different frequency bands with the aid of different indices like the Pragmatic Information index which is based on the instantaneous phase and the analytic amplitude. To summarize, the art of encephalography enhanced by brain dynamics movies allows us to identify brain patterns and events associated with different measurements across bands and the different stages of the cycle of creation of knowledge and meaning.

This work was accomplished by the research team at The Embassy of Peace in Whitianga, New Zealand, in close collaboration with Walter J. Freeman and Robert Kozma.

Tatjana Burzanović

University of Donja Gorica, Montenegro

Title: Universal design-design for all

Time : 15:20-15:40

Speaker
Biography:

Tatjana Burzanović is a lecturer and coordinator at the faculty of design and multimedia, the University of Donja Gorica, Montenegro. She teaches as faculty for design and multimedia on the subject of Marketing Design, Visual Communications, Portfolio; and as faculty for culture and tourism on Indian Culture. Previously she teaches at the Faculty of Architecture in Podgorica, where she prepared a textbook (1000 pages) for students from Architectural and Computer Graphics. She is the author of the book on “The Interrelation Between Art Worlds: Illustrations of Bhagavad Gita”, which is available on Amazon. In this book, she studies the relationships of simultaneous and successive art.

Abstract:

Why do we say design for all? What do we mean by that? What is design? What is Design for All? Design for all is a design which one respects human rights, diversity, which enables social inclusion and equality for all."  This is a holistic and innovative model to create an environment that respects ethnic, age and other characteristics, is aimed at, designers, developers, contractors, builders, political leaders...? Decision makers! Why is design for all important? Across Europe, age, cultural development, and people skills are higher than ever? We now know that active living with disabilities, wash to overcome the disease much more than ever before. The world is a complex place and it was not what we make it, not what we allowed him to give us a chance, but that requires of us the responsibility - to create the foundations of inclusion. All around us is the design and everything is designed to be adapted for use. This raises the question, “How anyone has the right to classify someone as different and someone who cannot use the benefits of the design?" Design when adapted to everyone for use by everyone regardless of their ability or therefore, the idea of design for all, the philosophy of responsibility towards the social diversity. In what consists the responsibility of the general community or business sector - primarily in the creation of a large number of products and services, usable for all people because it is much cheaper when from the beginning builds accessibility standards than everyone when adapting to new environments and new customers.

Significantly, the business sector is "Money talks," which they understand well because DFA can only IncDesign for all and jobs for all! "Design for all creates opportunities for everyone to be active, productive participants in economic development, and therefore the DFA to reduce social exclusion and improve economic benefit. Design for all and tourism, - along with employment, entertainment is a human right of all members of a society - is also a major source of income for many countries. Design for all creates the preconditions for accessibility of all to be able to use tourism and entertainment offerings.

Yi bin Hou, Jin Wang*

Beijing University of Technology, China

Title: Investigation on the internet of things

Time : 15:40-16:00

Speaker
Biography:

Yibin Hou graduated from Xi’an Jiaotong University, computer science department, with a master’s degree in engineering, graduated from the Netherlands EINDHOVEN university of technology department, received a doctor’s degree from the department of engineering. From 2002 to 2013 as vice President of Beijing university of technology. Beijing university of technology’s professor, doctoral supervisor, embedded computing, director of the institute, Beijing university of technology, deputy director of academic committee and secretary-general, Beijing Internet software and systems engineering technology research center director. His research interests is the Internet of things.

Jin Wang received a Bacher’s degree in Software Engineering from Beijing University of Chemical Technology, Beijing, China, in 2012. She won the National Scholarship in 2010 and won the National Endeavor Fellowship in 2009. She received a master graduate in Computer Application Technology in Shijiazhuang Tiedao University in 2015. She published many papers including ISTP, EI and SCI and participate in the National Natural Science Fund Project. From 2015 she is in the school of software engineering, Department of information, Beijing University of Technology, completing her PhD. Her research interests are the Internet of things and software engineering and Embedded and image and video quality assessment.

Abstract:

Do IOT problem definition and research. Research on Internet of things, first research object, Re research alliance,Re study network. Objects are things in the Internet of things, Link is how objects connect to the network, Network is what this network is. Objective function is the key problem. Can start with simple and critical questions. Algorithm is the solution to the problem steps. What is the Internet of things, objects connected to the Internet is the Internet of things, cup networking, car networking. Things better than other networks, is composed of what objects, what composition, what nature, what innovation and superiority. Internet of things four key technologies are widely used, these four technologies are mainly RFID, WSN, M2M, as well as the integration of the two. RFID can be achieved using MATLAB, NS2, Android, WSN can use NS2, OMNET++ implementation, M2M can be developed using JAVA. Therefore, this paper focuses on the advantages of Internet of things than the internet. The Internet of things has no unified definition. Some people believes that the interconnection of RFID is the Internet of things, some think that a sensor network is the Internet of things, some think that M2M (machine to machine) is the Internet of things. Some people think make the Internet stretched and extended to any goods and goods is the Internet of things. The Internet of things not only meets the demands for information of goods’ networking, but also the current technology development’s push. And final the most important thing is the internet of things can boost the economy, so the investigation on the Internet of things is very important. E-commerce, such as the Jingdong and Taobao's free trial center, has become a hot topic. Study on Shijiazhuang Taihe and EGO digital city as well as Beijing Baidu and Hui Hai and IBM and other well-known companies are Beyondsoft networking and the internet. The next step is the study of the JSP framework in the Internet of things, such as the SSH framework and the SSM framework. SSH refers to: spring + Struts + hibernate; and SSM refers to: spring + SpringMVC + MyBatis. People who have Internet of things are diligent, intelligent and smart. They are all kinds of situations. JAVA programming and recording and audio are also important directions for developament.

Results: Mother-daughter_qcif.yuv’s VQM and FOOTBALL.yuv’s PSNR and VQM and SRC13’s VQM and SRC22’s PSNR 1068kb and PSNR 1062kb respectively as shown in figure 1, figure 2, figure 3, figure 4, figure 5, figure 6.

Figure 1: Mother-daughter_qcif.yuv VQM
Figure 2: FOOTBALL.yuv PSNR
Figure 3: FOOTBALL.yuv VQM
Figure 4: SRC13 VQM

Figure 5: SRC22 VQM 1068kb
Figure 6: SRC22 VQM 1062kb
Figure 7: src13 MOS
Figure 8: src13 MOStu

 

Src13 MOS as shown in figure 7, src13 MOStu as shown in figure 8, SRC13 MOSd-MOSo as shown in figure 9, src13 wuxian MOS as shown in figure 10, SRC13 wuxian PSNR-MOS as shown in figure 11, src13 wuxian MOStu as shown in figure 12, src13 wuxian MOSd-MOSo as shown in figure 13.

 

Figure 9: SRC13 MOSd-MOSo
Figure 10: src13 wuxian MOS
Figure 11: SRC13 wuxian PSNR-MOS
Figure 12: src13 wuxian MOStu
Figure 13: src13 wuxian MOSd-MOSo

Notes/Comments:
This work was partially supported by the National Natural Science Foundation of China (No: 61203377, 60963011, 61162009), the Jiangxi Natural Science Foundation of China (No: 2009GZS0022), and the Special Research Foundation of Shijiazhuang Tiedao University (No: Z9901501, 20133007), Naval Logistics Project(CHJ13L012).
 

Break:

Networking & Refreshment Break: 16:00-16:15 @ Foyer

Poster Presentation: 16:15-16:30 @ Foyer

Award & Closing Ceremony