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Über dieses Buch

This book constitutes the refereed proceedings of the 13th InternationalConference on Cooperative Design, Visualization, and Engineering, CDVE2016, held in Sydney, NSW, Australia, in October 2016.
The 9 full papers and 42 short papers presented were carefully reviewed and selected from 89 submissions. The papers cover a broad range of topics in the field of cooperative visualization, visual analytics, cooperative engineering, and cooperative design and applications.

Inhaltsverzeichnis

Frontmatter

Facilitating Design Automation in Multi-organization Concurrent Engineering: Insights from Graph-Rewriting Theory

The aim of this paper is to introduce emerging technologies for the implementation of graph-rewriting-based design automation applications that can be used in collaborative environments. The paper motivates the use of graph-rewriting for design automation and highlights an important issue: preservation of confidentiality. Approaches to the efficient derivation (using design knowledge) and rule induction (learning design knowledge) are discussed. The crucial feature of these approaches for confidentiality-preserving graph-rewriting is that knowledge-bases of contributing organizations do not have to be disclosed.

Julian R. Eichhoff, Felix Baumann, Dieter Roller

The Design and Development of Manufacturing Process Knowledge Base System Based on Ontology

The distributed collaboration based on process knowledge has become a main mode for manufacturing. Making good use of the manufacturing process knowledge is becoming more and more critical. In this paper, the manufacturing process knowledge is firstly defined and organized. A knowledge base construction method based on ontology is introduced. A three-tier system architecture of the manufacturing process knowledge base system is then illustrated with detailed main functions. Afterwards, a manufacturing process knowledge base system based on ontology is presented with respect to multi-technology fields. The implementation shows that the effective management and reuse of the knowledge can be realized.

Haojie Song, Huifen Wang, Tingyu Liu, Qiqi Zhang, Binbin Gao

Collaborative Modeling of Manufacturing Processes – a Wiki – Based Approach

Manufacturing companies face substantial challenges due to a new industrial (r)evolution taking place. The increasing digitalization and intelligentization of manufacturing processes will lead to a higher degree of automation and as well autonomy of production systems. Driven by these developments, model-driven approaches gain increasing attention in the domain of manufacturing. Future manufacturing processes will need to be increasingly adaptive to highly individualized customer needs. Therefore, reengineering of such processes must be supported by a platform that facilitates their quick adaption to changing conditions in an unbureaucratic way. In this paper we describe the design of a collaborative process modeling environment that is based on the principles of wiki-engines and enables quick, easy, concurrent and transparent design of manufacturing processes. Finally, we provide lessons learned from a first large-scale evaluation case-study.

Selim Erol

Performance-Matching-Based Resource Selection for Cloud Manufacturing

Cloud manufacturing is emerged as a kind of networked cooperative manufacturing mode. Under cloud manufacturing environment, the manufacturing resources appear as cloud services, and the amount of their performances is very large, so every cloud service has some sub-modules every one of which also contains many service performance indexes. How to select a suitable cloud service by performance matching is very difficult. In this paper, the authors employ matter-element model to describe the cloud service and user’s requirement, and propose a matching method by calculating module similarity with multidimensional extension distance for resource selection. A case study is also provided for illustrating the implementation of the method.

Li-Nan Zhu, Yan-Wei Zhao, Guo-Jiang Shen

A Framework for Improving Collaboration Patterns in BIM Projects

BIM is often presented as a collaborative platform. However, the core principle of BIM is about sharing data through centralized or distributed platforms. Collaboration is not at the heart of BIM. It is about requiring the actors of the construction project network to reconfigure their patterns of relationships to facilitate the production and exchange of the project data and the information processing using this platform. Organization of work in construction is highly linear and fragmented, and the construction project stakeholders don’t have the tools to understand and represent how information is created and processed among them. This paper presents a collaborative mapping approach that help construction project stakeholders to visualize the existing patterns emerging from their use of BIM. Through a collaborative action-research project, different key stakeholders are invited to participate into the co-construction of a visual mapping of the information processing for the production of the BIM model within the various organizations. The mappings for the whole project were assembled to extract the divergent perceptions and domain-based visions of each participant. The main contribution of this research is a framework for the co-construction of a project process modelling. The aim is to reduce the barriers and conflicts that emerge in a collaborative process.

Eva-Charlotte Forgues, Vincent Carignan, Daniel Forgues, Samia Ben Rajeb

BIM-Enabled Collaborative Scaffolding Scoping and Design

Scaffolding management is critical to construction industries across the oil and gas, building, and infrastructure sectors, where static and ineffective design and planning can lead to low productivity and cost issues. In addition, the requirement analysis of scaffolding scoping seriously relies on the quality of the communication between scaffolding supervisors and owners. To avoid unnecessary disputations, the aim of this research is to develop a Collaborative Scaffolding Scoping and Design Platform (CSSDP) to facilitate the communication among different trades, and engage their expertise to comment, review and improve the design scheme from the end-user perspective. The proposed CSSDP includes three main modules: mobile application, cloud server and management dashboard. In addition, four styles of comments will be embedded into the mobile application, namely, text, voice, image-based sketching, and Building Information Modelling (BIM) model-based sketching. The implementation and evaluation of the user interface and commenting functions have been finished, and the prototype of the application is integrated into the proposed CSSDP. The outcomes of internal workshops conducted through industrial partners show positive responses and further investigations for experimental adaption are expected in the near future.

Jun Wang, Hung-Lin Chi, Chongyi Liu, Xiangyu Wang

Modeling Temporal Behavior to Identify Potential Experts in Question Answering Communities

Question answering (Q&A) communities are becoming important repositories of crowd-generated knowledge. The success of these communities mainly depends on the contribution of experts, who provide a significant number of high quality answers. Identifying these experts as soon as they participate in a community enables the community managers to nurture and retain experts. However, there is a great challenge to complete this task because lack of enough activities during users’ early participation. To take full advantage of users’ limited activities, we study the evolution of users’ temporal behavior that indicates deeper insights of the activities, both the absolute view and the relative view. Based on our analysis, we propose a Temporal Behavior Model to identify potential experts. Experiments on a large online Q&A community prove that our model can be combined with previous researches to improve the identification performance even further.

Min Fu, Min Zhu, Yabo Su, Qiuhui Zhu, Mingzhao Li

Representation in Collective Design: Are There Differences Between Expert Designers and the Crowd?

This paper tests if a web-based crowd would, in comparison with an expert benchmark group, exhibit observable differences and similarities when they interact with varying forms of representation. The study uses an adapted online environment to provide the necessary decentralised and open conditions to support collective activity. The methodology uses semiotics to comparatively describe the processes both qualitatively and quantitatively. This paper presents the general findings of an analysis using data collected from a permanently open two-week design session. Comparisons with an expert benchmark group reveal how crowds engage with representational imagery to communicate design information in an openly shared and decentralised web based collective design context.

Darin Phare, Ning Gu, Michael Ostwald

City Probe: The Crowdsourcing Platform Driven by Citizen-Based Sensing for Spatial Identification and Assessment

In this paper, we introduce the City Probe, a participatory sensing system that can quantify citizens’ perception of places. City Probe recruits citizens to participate in the spatial identification and assessment. It includes the smartphone APP that allows citizens to photo and rate their locational characteristics according to some issues. Their contributions, with latitude and longitude coordinates, would be uploaded and quantified in the City Probe cloud platform and visualized into a weighted map that reveals the collective out-come based on citizens’ cooperation. Pilot studies in the campus have been accomplished. The collected geospatial data is represented in terms of the weighted map for disclosure of Information and decision-making supports.

Yang Ting Shen, Yi Shiang Shiu, Peiwen Lu

Collaborative Cloud Printing Service

We develop a small and lightweight cloud based service for the utilization of 3D printer resources enabling users to collaborate on models. Users can collaborate by sharing model files, discussions on aspects of the printing process or using 3D printers as shared resources. This service consists of user, artefact and printer management building on existing web technology. It enables scheduling of printing jobs for artefacts and high utilization of 3D printer resources. This cloud based manufacturing (CBM) system enables 3D printers that are non-native networked to be used remotely by providing easily installable low cost networked computers or installable services. It focuses on the interface between the physical resources and their representation in software to form a cyber physical system (CPS). This service requires smart 3D printers and representation of technical capabilities of physical resources. This work is a research platform for smart machinery or the enhancement of machinery for smart control under the paradigm of Industry 4.0. We discuss the design and concept of this work in progress service and the distinctions from similar systems. Furthermore, the sharing requirements and capabilities of such a service are discussed with a focus on the data integrity and safety for sharing data among users.

Felix Baumann, Julian Eichhoff, Dieter Roller

Supplier Selection Based on Recommendations

Suppliers’ selection is important for any enterprise. Most available approaches for facilitating processes of choosing suppliers from a number of alternatives focus on which criteria are to be used according to a particular business. This implies that the role of a decision maker is to confirm or modify the outcome of an already chosen method. In this work we present a way of incorporate decision maker’s opinion along with previous customers experience in the process of suppliers selection.

Sylvia Encheva

Kernel Semi-supervised Extreme Learning Machine Applied in Urban Traffic Congestion Evaluation

In urban transportation assessment system, semi-supervised extreme learning machine (SSELM) can be used to unite manual observed data and extensively collected data and cooperatively build connection between congestion condition and road information. Optimized by kernel function, Kernel-SSELM can achieve higher classification accuracy and robustness. In this paper, Kernel-SSELM model is used to train the traffic congestion evaluation framework, with both small-scale labeled data and large-scale unlabeled data. Both the experiment and the real-time application show the evaluation system can precisely reflect the traffic condition.

Qing Shen, Xiaojuan Ban, Chong Guo, Cong Wang

Tablet-Based Synchronous Learning System with Floor-Controlled Multimedia Interaction for Students

Previously, we developed a mobile learning system that allowed students to watch an instructor, the slides and annotations using their tablets in real time. Students could ask questions via text chat. Students, however, found the text chat interaction inconvenient and slow. Thus, based on our observation that one student asks a question at any instance of time, we present a tablet-based synchronous learning system that allows only one student with the floor control to ask questions via audio and video that is multicast to all users. A preliminary user survey shows that regarding user interaction, more than half of the users found the proposed system more convenient and faster than the previous one.

Jang Ho Lee

CIAM Mobile: Methodology Supporting Mobile Application Design and Evaluation Applied on GreedEx Tab

We have addressed the problem of improving CIAM (Collaborative Interactive Application Methodology) in order to support design, modeling and evaluation of collaborative and interactive mobile applications. CIAM Mobile (m-CIAM) is the result of the integration of CIAM with MoLEF (Mobile Learning Evaluation Framework), which serves as a basis for an evaluation tool that allows for analyzing characteristics of applications in m-Learning. In this paper, we endeavor to show how to apply m-CIAM to the design of m-Learning applications that were previously developed with the original version of CIAM. The selected application to describe this process is called GreedEx Tab, which is the iPad version of the GreedEx tool. Our objective is to develop a new prototype for the iPad applying m-CIAM as methodological approach and compare the results with the initial version of this application. These results show that we can obtain improved relative values in pedagogical and technological usability.

Yoel Arroyo, Christian X. Navarro, Ana I. Molina, Miguel A. Redondo

TerrainVis: Collaborative, Interactive, Visualisation Tool for Engaging Residents in Disaster Preparedness

Modelling and communicating scientific data are paramount in Disaster planning, yet is not easily communicated and interpreted by non-expert stakeholders. These stakeholders are important to the disaster response planning because they can provide firsthand experience and knowledge not capture by quantitative methods. This project aimed to develop a method for catching the attention of community members and engaging them in disaster preparation discussions around real data. A scale model visualisation tool was developed that allows users to interact with flood levels and visualise the impact on their community. Using an “in the wild” Human Computer Interaction (HCI) field trial approach, we found community members engaged in self-directed discussions with strangers about the mitigation of floods and the current zoning of new housing estates in flood prone areas. TerrainVis has helped residents understand the significance of disaster preparation and changed perspectives on evacuation plans by situating them within the data.

Dylan Mathiesen, Trina Myers, Ian Atkinson, Jeremy VanDerWal

Enhancing Design Project Review Board Effectiveness Through a Visual Collaborative Approach

Organisations with a clear focus on design and development need to carefully and strategically invest in projects. When collaboratively analysing various project proposals, decisions must be made at the macro level using a high-level strategic perspective of the entire portfolio of projects while at the same time considering details at the micro level. It can be difficult for decision makers to absorb the wide range of information about technical, financial, aesthetic, ergonomic, market, and other project factors that need to be considered. Hence, there is a need to better support decision making teams as they collaborate to effectively access and evaluate information. This paper explores the synergies between research and practices in the domain of Project Portfolio Management (PPM) and the disciplines of Design Innovation (DI) and Design Management (DM) to propose a new collaborative visual tool to assist design project review boards in small and medium enterprises (SMEs).

Vasilije Kokotovich, Catherine P. Killen

DataChopin - Designing Interactions for Visualisation Composition in a Co-Located, Cooperative Environment

This article presents our interaction design for DataChopin, based on an extensive survey and classification of visualisation for exploratory data analysis. Its distinctive characteristics are the use of a large-scale display wall as a shared desktop, as well as flexible composition mechanisms for incremental and piece-wise construction of visualisations. We chose composability as a guiding principle in our design, since it is essential to open-ended exploration, as well as collaborative analysis. For one, it enables truly exploratory inquiry by letting users freely examine different combinations of data, rather than offering a predetermined set of choices. Perhaps more importantly, it provides a foundation for data analysis through collaborative interaction with visualisations. If data and visualisations are composable, they can split into independent parts and recombined during the analytical process, allowing analysts to seamlessly transition between closely- and loosely-coupled work.

Daniel Filonik, Markus Rittenbruch, Marcus Foth

What Next in Designing Personalized Visualization of Web Information

Current state of the art in personalized visualization of web information is tailored to provide a better view of how the information is resided and connected to each other inside the internet. With the recent enhancement in information and communication technology, users are provided a very large amount of information when they search for a particular information from a specific website. Studies show that, user can perceive the information in a more better way if they are provided the information with visual representation instead of its textual counterpart. However, to be effective to the users, the visual representation should be specific to the need of a particular user. Research is conducted from various viewpoints to make the visual representation (graph-representation of the web information) more user-specific. To achieve this, filtering and clustering techniques have been applied to web information to make large web graphs to compact ones. Besides, user modeling has been applied to infer the user’s need for a specific time and context. These tend to make the navigation of web information easy and effective to the end user. This paper discusses the current progress in graph-based web information visualization and also outlines the scopes of improvements that could benefit the user exploring the desired information from the web space effectively and efficiently.

Shibli Saleheen, Wei Lai, Xiaodi Huang, Weidong Huang, Mao Lin Huang

Isotone Galois Connections and Employees Resource Management

Merging organizations face a number of challenges related to creation of a new establishment. Short deadlines put serious pressure on those, responsible for planning and implementing all possible types of changes. The main issue we direct attention on in this work is concerned with placing employees in new units according to their competencies in a well-organized and controlled way. Isotone Galois connections are used to secure a systematic approach for establishing a correspondence between employees’ competencies and units’ contents.

Sylvia Encheva

Network Visual Analysis Based on Community Detection

With the rapid increasing size of the network, mining and analyzing the network structure characteristics to enhance network awareness and understanding are facing severe challenges. We use community detection algorithm to obtain the community division. The network nodes are layout by force directed methods to visualize the network structure. At the same time magnifying metaphor method is used to enhance interactively inquiring details to achieve focus-context display. Experimental results show that this can help the network understanding and situation awareness.

Yao Zhonghua, Wu Lingda

Evaluating Overall Quality of Dynamic Network Visualizations

Visualizing dynamic networks is a challenging task. One of the challenges we face is how to maintain visual complexity and overall quality of visualizations at a reasonable and sustainable level so that the information about the network embedded in the visualization can be effectively comprehended by the viewer. Many techniques and algorithms have been proposed and developed to facilitate the discovery of changing patterns. Much research has also been done in investigating how visualization should be constructed to be effective. However, how to measure and compare the quality of visualizations of a changing network at different time points has not been well researched. In this paper, we report on a preliminary work towards this direction. In particular, we apply an existing multi-dimensional overall quality measure in a user study data of different networks and found that the measured quality is positively correlated with user task performance regardless of network size.

Weidong Huang, Min Zhu, Mao Lin Huang, Henry Been-Lirn Duh

An Ingredient Selection System for Patients Using SWRL Rules Optimization and Food Ontology

This paper presents research on the design and development of an ontology to represent knowledge about food and nutrition for patients and on the development and optimization of SWRL (Semantic Web Rule Language) rules to select suitable ingredients for patients. Emphasis was placed on optimizing search response times by testing different rule processing approaches to achieve the fastest processing time. According to the effort on seeking the way to optimize SWRL inference rules for recommending the most appropriate ingredients to the patients, it was found that the particular rule pattern can be processed faster than the previous rules designed for the original structure at an average of 35 %.

Chakkrit Snae Namahoot, Sakesan Sivilai, Michael Brückner

A Web Based Cooperation Tool for Evaluating Standardized Curricula Using Ontology Mapping

In this paper, we present HOME 2.0, an improved version of an ontology mapping tool that can create subject ontologies from subject curricula. To illustrate the design and test of the system we use a computer science curriculum. The semantic data of standard computer science topics can be created using synonyms of topics that are categorized in Wikipedia for mapping improvement of the relevant topics. The tool generates the curriculum data automatically into a course ontology with instances and properties, then finds the correspondences with a standard curriculum ontology using a combination of instance-based and structure-based ontology mapping techniques. The test results with sample data show that the tool works sufficiently and shows improved performance regarding results.

Chayan Nuntawong, Chakkrit Snae Namahoot, Michael Brückner

Co-creation of a Digital Game to Support Language Revitalisation

Many Aboriginal languages are becoming extinct due to lack of fluent speakers. Computer games offer a way to help teach these languages in a fun and engaging way. However, computer games like all technology objects are based in the culture of their creators. In this paper we describe a project where we co-designed a language application for mobile phone with the Gugu Badhun, an Aboriginal community from north Queensland Australia. The participatory action research process allowed our Aboriginal partners to embed their own culture in the games, leading to a product that supported their goals and aspirations for language renewal. This collaboration has not only provided a way to sustain their language, but also added capacity to their community in ICT development.

Dianna Hardy, Elizabeth Forest, Zoe McIntosh, Janine Gertz, Trina Myers

Design and Evaluation of an Integrated Collaboration Platform for Secure Information Sharing

This paper presents the design and evaluation of a collaboration platform which enables secure information sharing and interaction across professional and organizational boundaries in the biosecurity domain. The platform integrates shared digital workspace and eAuthentication and eAuthorisation technologies in a multi-display environment. It aims to support the diagnosis and decision making meetings between committee members working in different laboratories and organizations in their cooperative work of emergency response on animal diseases. Results from a user study on the security features of the platform show that the integrated platform can provide the basis of trustworthy information sharing, particularly real-time information from laboratory instruments.

Jane Li, John Zic, Nerolie Oakes, Dongxi Liu, Chen Wang

Securing Shared Systems

With increasing reliance on new and interactive technologies, a challenge producers face is the requirement of a secure system to control users of their cooperative designs or applications to reap economic benefit. An authentication code is the series of letters and numbers, often disclosed after purchasing a product or service and that allows access for that user. This paper provides insight into the generation and verification of existing authentication codes and proposes a new scheme, which uses cryptography to embed mathematical structure within the codes to better protect cooperative applications. The proposed method uses a changing key based on a secret key and a random number, and symmetrical block cipher.

Mandy Li, Willy Susilo, Joseph Tonien

NetflowVis: A Temporal Visualization System for Netflow Logs Analysis

Netflow logs record the interactions between host pairs on both sides of the monitored border, and have got more attention from researchers for security concerns. Such data allows analysts to find interesting patterns and security anomalies. Visual analytics provides interaction and visualization techniques that can support these tasks. In this paper, we present a system called NetflowVis to analyze communication patterns and network abnormalities from netflow logs. This system consists of four views, including the communication trajectories view, the traffic line view, the snapshot view and the protocol view. The communication trajectories view is a composite view that dynamically describes the communication trajectories. This view combines a link-node tree and an improved ThemeRiver. The protocol view is designed to display statistical data of the upstream and downstream traffic on different protocols, which is an improved radial view based on an area filling strategy. The system provides a multilevel analysis architecture for netflow cognition. In this paper, we also present a case study to demonstrate the effectiveness and usefulness of our system.

Likun He, Binbin Tang, Min Zhu, Binbin Lu, Weidong Huang

Rigid Body Sampling and Boundary Handling for Rigid-Fluid Coupling of Particle Based Fluids

We propose an efficient and simple rigid-fluid coupling scheme employing rigid surface sampling and boundary handling for particle-based fluid simulation. This approach samples rigid bodies to boundary particles which are used for interacting with fluids. It contains two steps, sampling and relaxation, which guarantees uniform distribution of particles using less iterations. We integrate our approach into SPH fluids and implement several scenarios of rigid-fluid interaction. The experimental results demonstrate that our method is capable to implement interaction of rigid body and fluids while mainly ensuring physical authenticity for rigid-fluid coupling simulation.

Xiaokun Wang, XiaoJuan Ban, YaLan Zhang, Xu Liu

A Density-Correction Method for Particle-Based Non-Newtonian Fluid

We propose a novel non-Newtonian fluid simulation method for SPH. The variable viscosity under shear stress is achieved using a viscosity model known as Cross model. By adopting a density-correction scheme, larger time step is available for simulation. The achieved results show that both Newtonian fluid and non-Newtonian fluid could be achieved by our model. Furthermore, density-correction scheme improves the stability and efficiency of simulation significantly.

Yalan Zhang, Xiaojuan Ban, Xiaokun Wang, Xing Liu

Areas of Life Visualisation: Growing Data-Reliance

This paper presents a framework to mine and identify the areas of life and the way they are perceived, understood cognitively, and effectively using visualisation and machine learning. We provide an overview of the network of users including their activity and connections as well as zoom and details on demand of each individual areas of life. This research identifies the factors of each area of life which are significant on the user’s social media profile in relation to information associated with each user such as time and location, including dynamic social behaviours. It aims to identify the key psychological factors and salient behaviours in order to find out the psychological factors of the user, and other overheads that can be portrayed in an image.

Jesse Tran, Quang Vinh Nguyen, Simeon Simoff, Mao Lin Huang

Discovering the Social Network and Trust Relationship in a Networked Manufacturing Environment

The aim of this paper is to apply the trust relationship in a social network to support access control policy development in a NME. Considering that social relations and their trust feature between users in a NME are associated with the roles these users assume, we first classify the social network in a NME into three types. Then, an extended markup language (XML) schema is proposed as the access control mining format to support a unified representation of system logs. Based on the scheme, we discuss the factors affecting the trust intention, analyze the trust relation types, and propose trust intention calculation algorithms.

Tingting Liu, Huifen Wang

Evaluating the Economic Effect of the Delayed Differentiation in the Customized Product’s Supply Chain Network

Employing delayed differentiation in the customization product supply chain network (CPSCN) can bring customers more opportunities for personalized products, but bears the cost pressure. As to assemble CPSCN, on the basis of building the cost model, considering the changes of the fixed investment and product cost at transferring standard production to customization production, this paper proves firstly, the fixed investment has economy threshold and diseconomy threshold. When the real fixed investment is less than economy threshold (or greater than diseconomy threshold), the production cost of the supplier decreases (or increases) with the increase of postponement degree. When the real fixed investment is between the two thresholds, postponement degree has a threshold; if the actual postponement degree is less or more than this threshold, the production cost decreases or increases with the increase of postponement degree. Secondly, by deducing relationship between the total costs of CPSCN and the fixed investment, and the postponement degree, it is proved that, the economy of the supplier’s delayed differentiation directly decides the economy of CPSCN’s delayed differentiation; the impact of different supplier on the total cost of CPSCN is different. Finally, the conclusions have been verified through the simulation. The economy analysis provides the measurement tools, identification criteria and decision foundation for evaluating CPSCN’s delayed differentiation.

Zhiliang Wang

Concurrency in BIM-Based Project Implementation: An Exploratory Study of Chongqing Jiangbei International Airport’s Terminal 3A

Many of the shortcomings associated with dated design and construction methods as well as project fast-tracking can be addressed by exploring the concept of concurrency facilitated by Building Information Modelling (BIM). From a BIM perspective, concurrency facilitates the involvement of stakeholders from very early on during the lifecycle of a project. Leveraging the 5 W/H (Who, What, When/Where, Why and How) method of exploratory research, this paper explores how BIM and Concurrent Engineering (CE) at Terminal 3A of the Chongqing Jiangbei International Airport compares with a historical exemplar of BIM deployment in the AEC industry. Based on existing definitions of CE, we compare both projects to determine their conformance to three CE criteria: 1) compressed project duration, 2) enhanced product value, and 3) reduced project costs. We also review their use of collaborative tools and techniques. The paper shows how the success of BIM-based projects can be rationalised by CE.

Erezi Utiome, Sherif Mohamed, Kriengsak Panuwatwanich, Emerson Lin, Lei Hou

Design of an Architecture for Medical Applications in IoT

This present document presents the design of an architecture of communication oriented to medical and sports applications, in order to bring a series of information collected from a network of portable sensors arranged in the body of the person that will be able to gather vital constants of the user and then transmit them to a web service on the internet, as well as to monitor the State of health and/or the user’s physical performance.

Freddy Feria, Octavio J. Salcedo Parra, Brayan S. Reyes Daza

Vehicle Route Tracking System by Cooperative License Plate Recognition on Multi-peer Monitor Videos

With urban transportation problems becoming serious, as an efficient solution, Intelligent Transportation System has been greatly studied and developed. The license plate number can be used as the unique identification of vehicles. In this paper a vehicle route tracking system using automatic vehicle license plate recognition for video images is proposed. The system can extract the driving route of the vehicle in the urban traffic network from multi-peer high-definition monitor video in crossroads.

Guofeng Qin, Qiutao Li, SichangLi

SIERA: Visual Analytics for Multi-dimensional Data for Learning Assessment in Educational Organisations

Nowadays, data is produced at an incredible rate and the strategy to collect and store is increasing as faster as the strategy to analyse it. The correct analysis of these multidimensional data is very important for decision makers. Some Educational Organisations have a culture of evaluating the student’s knowledge, it makes possible to promptly discover weaknesses in the teaching and learning process. This paper describes a proposed strategy to collect multi-dimensional data and visual analytics for assessment that supports the evaluation process of educational organisations. To validate this proposal we used focus group. The proposed strategy was tested with 2677 schools and 160529 students in evaluation process in Apurimac-Peru. The test results show that teachers agree with the proposed strategy.

Manuel J. Ibarra, Cristhian Serrano, Angel F. Navarro

Visualization of Ranking Authors Based on Social Networks Analysis and Bibliometrics

It is interesting to rank scientists in a specific field, which would help researchers to know about the research status of the field and gain valuable insight on future technical trends in the field. Our paper visualizes the results of author ranking with the consideration of authors’ contribution. In this paper, every author’s contribution to his/her field is calculated according to the co-authorship among papers. By extracting the papers and authors information from a field since they started publication, the co-author network are constructed. We also get the clusters partition of those authors by Girvan-Newman algorithm. For conducting detailed experiments to show the visualized our results, we select the field of Intelligent transportation system (ITS) as an example. Since thousands of papers were published by scientists each year in the ITS field, academic co-authorship in this field expands fast. We design our dataset composed by data from four journals in the ITS field to visualize our algorithm.

Xiujuan Xu, Ruisi Zhang, Zhenzhen Xu, Feng Ding, Xiaowei Zhao

Visual Analytics for Interacting on Cultural Heritage

We present a framework for location-aware digital storytelling with associated tools and techniques to highlight the connection of different stories. The framework is being implemented in a collaborative editing platform that involves a variety of pilot users, sharing their stories about periods and places selected for their relevance to contemporary history. Complementary studies contribute to knowledge on reducing the intergenerational digital divide (The Locale project is funded by a Core grant from the Fonds National de la Recherche (L).).

Thomas Tamisier, Roderick McCall, Gabriela Gheorghe, Philippe Pinheiro

socialRadius: Visual Exploration of User Check-in Behavior Based on Social Media Data

The in-depth understanding of the reason why users contribute to the check-in records is of great value in a variety of applications, such as transportation system design, information recommendation, and business intelligence. The widespread application of social media has brought about large-scale and fined-grained data for the exploration of user check-in records from multi-perspectives. However, it is still an arduous task to gain insight into users’ check-in behavior due to the complexity and multi-dimensions of the data nature. In this paper, a novel visual analytics system, socialRadius, is proposed to interactively explore spatio-temporal features of check-in behaviors for particular groups and active users extracted from the group. The design in the paper focuses on two major characteristics of check-in data for the specific group: spatio-temporal features and check-in activities. The integration of visualization techniques with new designs has offered us the opportunities to explore and identify the potential patterns based on these two major components. Besides, case studies on real check-in data demonstrate the effectiveness of the system in exploring spatio-temporal features for specific groups.

Changjiang Wen, Zhiyao Teng, Jian Chen, Yifan Wu, Rui Gong, Jiansu Pu

Prediction System for Decision-Making to Improve the Road Environment

The aim of this research was to find the relations among traffic volume, travel speed, and road connectivity in order to predict the traffic congestion. The result showed that when a road has higher connectivity, the travel speed goes lower. Therefore, it was assumed that the congestion on the target area should be affected by high connectivity. The visualization of this prediction would significantly affect the urban planning that is related with the stakeholders of different kind.

Yu-Mi Song, Sung-Ah Kim

eduCircle: Visualizing Spatial Temporal Features of Student Performance from Campus Activity and Consumption Data

Nowadays, academic performance analysis has become increasingly critical for educational institutes, schools, and universities. Linked with academic achievements the academic performance is widely accepted and used as the assessment indicator for the quality of education. Therefore, it is important for educators and analysts to explore the behavior of enrolled students and investigate the factors affecting their performance. However, due to the existing factors concerning the investigation, such as social interactions, environment influence, and personal reasons related to very limited data collected, the task mentioned above is really challenging. Smart card data used on campus are able to not only provide both activity information and spatial temporal features for enrolled students, but also open a great opportunity for the further understanding about academic performance. In this paper, eduCircle, a visual analytic system, is presented to analyze student behaviors with academic performance based on smart card data. Three sophisticated designs with integrated visualization, mobility map, temporal analysis, and sequence views, have been proposed to analyze spatial temporal features in different time scales. Furthermore, several experiments have been conducted to explore the different student groups in a spatial temporal way. At last, some interesting findings are identified, which have further proved the effectiveness of the system.

Yifan Wu, Rui Gong, Yi Cao, Changjiang Wen, Zhiyao Teng, Jiansu Pu

Multilevel Psychological Analysis for Cooperative Work Teams

In this study, we try to discover the natural psychological dynamics in a cooperative work team. We have selected a group of individuals that can help us to explore the psychological processes when working in a team. A new tool is used which has been developed from the most relevant conceptual frameworks existing at the moment, the Cooperative Workteams Questionnaire, (CWQ). In this paper, we present the psychometric characteristics and impact encountered by the conceptual framework. We also present an analysis of the results obtained from applying this framework.

Aurelio Olmedilla, Alexandre Garcia-Mas, Yuhua Luo, Cristina Llaneras, Roberto Ruiz-Barquín, Pilar Fuster-Parra

An Application of Measuring Aesthetics in Visualization

It is challenging to efficiently and effectively manage and mine huge-sized scientific and engineering data. The challenge takes another dimension when it comes to visualization and data analytics. Without the use of detail-in-context lenses; it has been found that many important details are missed or misinterpreted. Effectiveness of visual comprehension is one of the main goals of collaborative visualization. Various detail-in-context lenses were developed to increase the visual comprehension of 2D and 3D data types by exaggerating the focused area while maintaining context such as fish-eye lenses. These lenses will enhance the cooperative collaborative visualization environment. In this work, an assessment of the effectiveness of a detail-in-context lens is presented. That is by using a set of aesthetics metrics designed to evaluate the visualizations generated by the fish-eye method to optimize the lens parameters. We have developed a framework to test these metrics on hydrocarbon reservoir simulation grids of different model sizes.

Badr Al-Harbi, Ali Alturki, Adel Ahmed

Generation of 3D Architectural Objects with the Use of an Aesthetic Oriented Multi-agent System

An aesthetic oriented, multi-agent system is proposed for supporting generation of buildings prototypes that fulfill aesthetic criteria. Multi-hierarchical composite graphs are used to represent object’s structure, consisting of Biedermann’s basic perception elements - geons, grouped into aesthetic measurable components. The approach is illustrated on the example of designing a simple 3d architectural object according to the accepted rules of aesthetics.

Agnieszka Mars, Ewa Grabska

Synchronized Shared Scene Viewing in Mixed VR Devices in Support of Group Collaboration

Virtual Reality devices are available with different resolutions and fields of view. Users can simultaneously interact within environments on head mounted displays, cell phones, tablets, and PowerWalls. Sharing scenes across devices requires solutions that smoothly synchronize shared navigation, minimize jitter and avoid visual confusion. In this paper we present a system that allows a single user to remotely guide many remote users in a virtual environment. A variety of mixed device environments are supported. Techniques are implemented to minimize jitter and synchronize views.

Steve Cutchin, Iker Vazquez

Larchiveum as an Augmented Historical Place: Blended Space Approach

This study proposed a composition logic of blended space in which the evolution of experience is possible constantly in terms of the augmented space experience of a historical site. On the basis of the blended space theory proposed as a methodology for organizing the user space experience between the physical space and digital space regarding a problem called the reproduction of experience, an augmented space experience method for overcoming it was composed. It composes an active learning environment, including the meaning and connective logic by linking the story composition and delivery method of digital storytelling to the space experience framework of the blended space. In particular, the application to digital tourism was represented through Hwasung Castle case. The prototype of the system is implemented using Unreal Engine. Implications deduced from building the prototype for simulation are used in composing an experiment environment targeting users.

Sun-Young Jang, Sung-Ah Kim

Understanding the Impact of Mobile Augmented Reality on Co-design Cognition and Co-modelling

With the development of the computer technology, new ways of model making become an alternative for the representation of the design ideas. In this paper, we present a new design platform based on the mobile augmented reality technology for a co-design situation. A marker-based mobile augmented reality platform for the early phase of the co-design process is presented. A pilot study is conducted and the data is analyzed with the protocol analysis method. In the paper we provide some insights of the impact of the employment of the mobile augmented reality technology in the co-design situation.

Leman Figen Gül, Müge Halıcı, Can Uzun, Mustafa Esengün

Cooperative and Immersive Coaching to Facilitate Skill Development in Construction Tasks

At present, construction operations training offered by qualified organisations and associations for the Australian oil and gas, mineral and chemical industries have been provided at only limited levels. Moreover, the relevant training facilities and centres being established or considered in the construction agenda are insufficient to meet the growing standard of operators and industry expansion. These facts illustrate the need for developing effective cooperative coaching and learning systems for expediting the acquisition of fundamental construction skills. Accordingly, the aim of this ongoing study is to establish scientific principles for developing appropriate Virtual Reality (VR) and Augmented Reality (AR) supported cooperative and immersive training prototypes and curriculum to meet the above mentioned purposes. Through the application of pertinent learning theories, system prototyping and experimentation techniques, this study is envisioned to significantly supplement interactive and immersive site experiences from immersive training environment, and produce cost-effective and efficient ways to manage the skill shortage challenges in mega construction projects.

Lei Hou, Hung-Lin Chi, Erezi Utiome, Xiangyu Wang

Visualizing Electricity Consumption in Qatar

Data related to electricity consumption is a global problem, particularly here in Qatar. Thus, a customized tool to analyze this data is made. The aim of this research is to present a new software, which would help the Qatar General Electricity & Water Corporation (KAHRAMAA) to identify trends, patterns and relationships of the consumptions and waste of electricity. Analyzing the electricity consumption would help in finding any abnormal trends. This tool will help in overcoming the challenges of analyzing such data and in gaining a deeper insight into its large and complex data sets. This software will ultimately help managers understand the processes that generated the data, which can be used to improve decision making in their target domain.

Engy Soliman, Al-Hanouf Al-Mohannadi, Noora Fetais

A Space Optimized Scatter Plot Matrix Visualization

This paper proposed a Space-Optimized Scatter Plot Matrix that used for the presentation of multi-dimensional dataset. This technique achieves the display space utilization in a 2D geometrical space. Our strategy is to maximize the utilization of computer space by optimizing the distribution of the plots in a geometrical plane of a display screen; We also apply interact mechanism, user query and visual cues, to support users’ communication with variables and the discovery of deeper contents.

Wen Bo Wang, Mao Lin Huang, Quang Vinh Nguyen

SumUp: Statistical Visual Query of Multivariate Data with Parallel-Coordinate Geometry

One of the most noticeable issues of parallel coordinate visualization is how to quantitatively analyze density caused by polyline growth in a limited space on axes. The existing visualization tools only support the comparison among single dimensions and single ranges of polylines, which could face limitation in cases of complicated analytics. This paper proposes a new visual-query technique, named SumUp, for statistical analysis of multiple attributes of dimensions and multiple ranges of polylines. The methodology of SumUp is primarily based on developing dynamic queries using brushing operations to deliver summary stacked bars adaptive with parallel coordinates. Users can easily observe quantitative information from data patterns and compare multiple attributes over the density of polylines in the parallel coordinate visualization. Early experiments show that our proposed technique could potentially enhance the manipulation on parallel coordinates, showing by a typical case study.

Phi Giang Pham, Mao Lin Huang, Quang Vinh Nguyen

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