Dynamic Collaboration Research Articles

RTRobMultiAxisControl: A Framework for Real-Time Multiaxis and Multirobot Control

This paper presents the challenges met in the development of a new framework for multiaxis and multirobot control. The increasing demand for multirobot collaboration and robotic assistance, both in industry and service applications, has raised the level of interactions between robots and humans in a shared environment with real-time constraints. Some scientific and technological issues need to be unlocked to ensure safe human–robot interactions: to guarantee the response time during the robot perception–action process, to cope with dynamic interactions with the robot environment, to secure the collaborations between several machines and humans, and to improve the integration of the robots at home and in open zones of production lines. The specifications of a new hardware and software framework are set with respect to these observations. The framework will meet complex research and industrial issues for the future of multiaxis and multirobot control. Before introducing our approach, a brief survey of existing frameworks and robotic middleware is given. The foundations of our approach are based on the following requirements: the framework must be real time, transferable, maintainable, and multimanufacturer. The framework design has also to guarantee the robustness of the machine interactions in a dynamic and collaborative environment. To evaluate the feasibility of our design strategy and assess its performance, we have developed mechatronic devices with a high level of human–machine collaboration. This paper outlines two robotic applications which require multirobot real-time synchronization and are based on the proposed framework. A temporal analysis demonstrates its robustness for multiaxis and multirobot control. Note to Practitioners —This paper was motivated by the problem of proposing a transferable framework dedicated to real-time multiaxis and multirobot control. Most of the existing middleware solutions do not unify accesses to the axis level and to the robot control level with a common programming approach and with real-time capability. This is a key problem for achieving multirobot synchronization and reaction times compatible with dynamic collaboration. Our framework is based on open robotics and object-oriented programming and implements the industrial standards for motion control. Multirobots control experiments with a high number of synchronized axis and heterogeneous hardware demonstrate the efficiency of the approach.

Integrating Practical and Epistemic Actors: Co-Constructing a Knowledge Organization System to Address Housing Insecurity in West Philadelphia

In response to colonial legacies of divisiveness and paternalism underpinning the development of knowledge organization systems (KOS) and thus impeding their appeal, accessibility, and usefulness to diverse stakeholders (Castleden, Morgan, and Lamb, 2012), this case study explores the challenges and opportunities inherent to the design of a malleable, sustainable KOS as part of an mHealth tool called Map the Gap. Map the Gap intends to reduce the burden of housing insecurity in West Philadelphia. By examining the active cultivation of communal ties between the “epistemic” and “practical” actors (Callon, 4, 2004) who substantiate Map the Gap, as well as the sociotechnical infrastructure which shapes and is shaped by such ties, the processes of collaboration underpinning functionality decisions are delineated. This paper reflects on the way KOS sociotechnical structures defy and challenge traditional academic and community models of research and development, thus requiring a unique, temporally-conscious embracement of select and dynamic collaborations. By elucidating and evaluating the considerations and practices central to Map the Gap, we seek to yield a template for cultivating healthy KOS sociotechnical structures.

Frequent Subgraph Mining Based Collaboration Pattern Analysis for Wikipedia

Online knowledge collaborations, where distributed members without hierarchies self-organize themselvesto create valuable contents, are prevalent in many open production systems such as Wikipedia, GitHub andsocial networks. While many existing studies from network science have been brought to analyse the general interactivebehavioural patterns embedded in these systems, how the collaborations influence the achievement outcomes hasnot been thoroughly investigated. In this paper, we mine the collaboration patterns from a micro perspective to deeplyunderstand the relationships between the collaboration among participants and the qualities of theWikipedia articles.In particular, the subgraphs contained in the collaboration networks derived from theWikipedia revision histories aretaken as the fundamental units to analyse the collaboration diversities from the subgraph properties such as size andtopology. In contrast to the predefined static motifs adopted by the previous works, the collaboration subgraphs aredirectly found from Wikipedia dataset by a frequent subgraph mining algorithm GRAMI, which is able to capturethe real dynamic collaboration patterns. Moreover, the relationships between the co-authors in the subgraphs are alsodiscriminated to further explore the collaboration patterns. The experiments exhibit the statistical properties of thecollaboration subgraphs and the efficiency of them as the metrics for the article quality assessments. We concludethat a small group of editors with relative frequent fixed collaboration patterns contribute more to the excellent articlequality than the professional extents of arbitrary individuals in the collaboration group. This discovery confirms thecommonly insight about collaboration that many heads are always better than one and concretely suggests a potentialexplanation for the increasing prevalence and success of the online knowledge collaborations

Measuring dynamic collaborations: Collaborative health assessment tool

AbstractThe changing nature of organisations in the public sector means that collaboration has become an imperative for many. Notwithstanding considerable scholarly agreement about factors contributing to successful collaboration, a broadly accepted model of collaborative practice has not coalesced. In this paper, we put forward an augmented collaboration assessment tool. Building on existing research, we argue that systems thinking can help us better account for the dynamic and multidimensional nature of collaboration – a process in which partner organisations are interconnected and organised in a way that seeks to achieve a common purpose that they could not have achieved alone. We tested the validity of our tool using a three‐stage, iterative mixed‐methods approach. Our research confirms the value of a diagnostic tool to assist collaboration partners navigate an often uncertain terrain. It further establishes the value of our tool in illuminating a collaboration's dynamic interactions as a means to evaluate ‘collaboration health’.

Teaching and Learning in an Active Learning Classroom: A Mixed-Methods Empirical Cohort Study of Dental Hygiene Students.

The aim of this study was to discover how an active learning classroom (ALC) influenced the teaching and learning of dental radiology with dental hygiene students through a mixed-methods approach. A year-long observation of a dental hygiene professor who was teaching two consecutive courses in an ALC was conducted in 2015-16. Nineteen classes were recorded and transcribed, and observational notes on classroom activities were taken. Towards the end of the academic year, the professor was interviewed with use of a 13-question guide, and the students were surveyed with a 25-question survey. Moreover, five-year grades in the same two courses, including four-year historical grades earned in the traditional classrooms (TCs) and one year from the ALC, were collected along with demographic and prior academic performance data. Thirty-two of the 38 students responded to the survey, for a response rate of 84%. The results showed that 63% of the students preferred to take classes in the ALC rather than TC. They especially enjoyed the ALC's spaciousness, mobility, unobstructed views, and ease of information-sharing and engagement in class. However, the ALC presented both the faculty and students with sensory and technique challenges. The analysis of students' grades suggested that GPA was one of the strongest predictors for both courses' final grades in the TCs but had weaker predicting significance in the ALC setting. Overall, the majority of students enjoyed taking classes in the ALC due to its physical charm and dynamic collaboration. Sensory and technique challenges coexisted with benefits.

Distributed Reprogramming on the Edge: A New Collaborative Code Dissemination Strategy for IoT

The ongoing era of the Internet of Things is opening up new opportunities towards the integration and interoperation of heterogeneous technologies at different abstraction layers, going from the so-called Edge Computing up to the Cloud and IoT Data Analytics level. With this evolution process the issue of efficient remote reprogramming on the Edge and the Extreme Edge deployments is becoming accentuated, as the amount and diversity of embedded sensing platforms is getting larger. To take advantage of the participation of heterogeneous devices and their in-field dynamic collaboration, in this work a new distributed code dissemination strategy for Edge node reprogramming is proposed, so as to efficiently support the functional reconfiguration, optimization and updating of sensor devices. It combines a partial reprogramming engine integrated into a modular sensor node architecture, with a smart IoT wearable platform for implementing the field collaborative framework. Results show that the proposed solution outperforms other traditional centric dissemination strategies, particularly when expanding the network reprogramming diversity and scale, which is an increasingly common feature in the IoT device deployments and maintenance.

Collaboration between designers and contractors to improve building energy performance

Improvement of building energy performance is crucial in achieving energy conservation goals. Previous studies have indicated that effective collaboration among stakeholders can help to address the building energy performance gap. However, only a few studies have examined the effects of underlying collaboration between designers and contractors. To fill this research gap, this study proposes an evolutionary game model to investigate the underlying logic of the collaboration by analyzing the dynamic behaviors of designers and contractors. First, the main possible drivers and barriers of the collaboration between designers and contractors were identified through a literature review and an expert interview. Second, a Nash equilibrium model was utilized to analyze the decision of designers and contractors under different scenarios. The results show that the best means to promote the collaboration is “reducing collaboration costs”, followed by “increasing the collaboration benefits” and “decreasing the loss caused by a lack of collaboration”. Based on the parameter discussion of the evolutionary game model, five solutions were proposed for the effective collaboration between designers and contractors. This study helps to clarify the dynamic collaboration decision process of designers and contractors, who are considered players with bounded rationality. The proposed evolutionary game model provides a theoretical basis for quantitative research on the collaboration between designers and contractors. This study could help researchers to consider the dynamics of collaboration among stakeholders in building projects, and it could also help practitioners to select proper strategies for improved collaboration.

Service orientation in business networking: a demand-supply chain perspective

Competition in globalized markets is nowadays between business networks (BNs) rather than between single organizations. BNs need to co-create highly customized integrated solutions for customers through dynamic collaborations within value networks to achieve competitive advantages in globalized markets. Although different theories in marketing and operations management have been developed to address the necessity for service orientation through co-creating mass-customized integrated solutions, a comprehensive and coherent view on the characteristics of a service-oriented business network (SBN) has not yet received sufficient attention. In this article, we intend to present and discuss an integrated framework that brings together different service orientation related theories and describes them in a structured way. The applicability and usefulness of the developed framework for directing service orientation in real-life BNs is evaluated on the basis of a multiple-case study research. The article bridges the gap between descriptive knowledge on service orientation and prescriptive engineering models for designing and implementing SBNs.

Compassionate Design As A Competitive Advantage for the Sustainability o f Indonesian MSMEs

Indonesian Micro Small Medium Enterprises (MSMEs) is a major contributor to the socio-economic development that faces challenges with its sustainability in the current and future market. As a majority of total enterprises in Indonesia, MSMEs has contributed significantly to interconnecting local community empowerment with local economic and business development, resulting in various outcomes for both the business and the community. This research demonstrates that there are still gaps in our knowledge concerning the interaction of creative processes in daily MSMEs business, and in understanding how MSMEs’ creative production can be harnessed to add value and grow their potential for increasing competitive advantage alongside benefits to social welfare. This paper argues that a new approach is needed to support the sustainability of Indonesian MSMEs during the design development process, one that supports and facilitates innovative practice.The study explores how principles in creative process and social life found to be essential to innovation in MSME sector could be integrated within the MSME production cycle holistically using a newly proposed Compassionate Design approach. The new model serves as an overarching framework for establishing and fostering dynamic collaboration among key stakeholder groups and offers a holistic integrated approach of new model be engaged in future direction of local businesses and market opportunities.

ART AND CRAFT IN THE ERA OF CREATIVE INDUSTRY IN MALAYSIA

Malaysia is targeted to become a developed county in the year 2020. This paper aims to establish an ideology that craft is a high art creation that deals with intellectual, careful and meaningful output. In order to develop an inclusive framework about art and craft, this paper reviews the development of craft and art in Malaysia. The epistemological discussion on the definition of art and craft will offer a fresh spectacle on art and craft as elements that can ensure the success of the creative industry. The combination of art, craft and Malay aesthetics provides more clues on how the creative industry can go about. In addition, several initiatives from Malaysia are presented due to illustrate how Malaysia engineered the country towards 2050. Creative industries in Malaysia have a very high potential to be developed and should supported by the government as well as the private sector. This researcher believes that active and dynamic collaboration, new media exploration, cross discipline and innovation will be the crucial issues to be considered in the development of art and craft in the era of creative industry.

A Learning Management System Enhanced with Internet of Things Applications

A breakthrough in the development of online learning occurred with the utilization of Learning Management Systems (LMS) as a tool for creating, distributing, tracking, and managing various types of educational and training material. Since the appearance of the first LMS, major technological enhancements transformed this tool into a powerful application for managing curriculum, providing rich-content courseware, assessment and evaluation, and dynamic collaboration. With several current research fields targeting various technologies related to the LMS, the future promises many changes in its structure, operations, and implementation. The most important technology that is expected to transform many future aspects is the Internet of Things (IoT). In this paper, we provide a framework for a future LMS enhanced by IoT capabilities. We outline several elements of the LMS that will be affected by IoT, and the expected enhancements and changes that IoT will bring to the LMS functionalities. The framework presented for the IoT-enhanced LMS constitutes the main component of a three year research project that is being conducted at the Arts, Sciences, and Technology University (AUL). In this paper, we illustrate the main parts of this project and the implementation plan of each part, including the prospected outcomes and benefits.

나노바이오 분야 국내 연구자의 동적 협업 네트워크 변화 요인 분석

본 연구의 목적은 학술논문에 출현하는 공저 관계를 중심으로 연구자들 간에 동적으로 변화하는 협업 네트워크를 분석하여 협업 형성의 요인을 규명하는 것이다. 연구 목적을 달성하기 위하여 국내 나노바이오 분야 연구자들이 SCI 저널에 투고한 논문 1,631편을 대상으로 총 3,898명의 연구자들 간의 공저 관계를 추출하고...

Resting State Effective Connectivity between Inferior Parietal Lobe (IPL) and Inferior Temporal Gyrus (ITG) in the Left and Right Hemispheres

Inferior parietal lobule (IPL) and inferior temporal gyrus (ITG) are two important brain regions for the default mode network (DMN). IPL has been known to be involved in the control of attention and responding to given information while ITG is involved in the processing and perception awakened by visual stimuli. These two key DMN regions are highly interconnected as determined from white matter and fiber tracking studies. However, little is known about their nature of connectivity while the brain is at rest, whether it is linear, bilinear or nonlinear and whether it is of mono- or bi-direction. Resting state functional magnetic resonance imaging (rsfMRI) data were obtained from 7 healthy male and female participants (average age = 20.7 ± 4.5 years) and were concatenated. Data were analyzed using statistical parametric mapping (SPM12). Endogenous brain signals were modelled by Fourier series at 0.01 – 0.08 Hz. IPL-ITG connected linear, bilinear and non-linear causal models in both hemispheres were constructed and estimated by means of stochastic dynamic causal modelling (sDCM) and were compared using Bayesian Model Selection (BMS) for group studies. Group fixed-effects results indicated that bilateral IPL and ITG exhibited high neural activity at a corrected significant level (p FWE 1000) which has the best balance between model accuracy and difficulty. The minimum free energy (F) = -4.41 ´ 10 4 and -4.09 ´ 10 4 for left and right hemisphere bilinear models respectively. From BMS and DCM results, it was found that IPL and ITG do have a dynamic collaboration between each other, a connectivity that belongs to a greater network when the brain is at rest. The intrinsic connections between them are negative in both directions i.e. IPL and ITG mutually inhibited each other. The effective connectivity was modulated by the endogenous fluctuation of the brain signal. DOI : http://dx.doi.org./10.17576/JSKM-2018-1602-13

Flavor-singlet spectrum in multi-flavor QCD

Studying SU(3) gauge theories with increasing number of light fermions is relevant both for understanding the strong dynamics of QCD and for constructing strongly interacting extensions of the Standard Model (e.g. UV completions of composite Higgs models). In order to contrast these many-flavors strongly interacting theories with QCD, we study the flavor-singlet spectrum as an interesting probe. In fact, some composite Higgs models require the Higgs boson to be the lightest flavor-singlet scalar in the spectrum of a strongly interacting new sector with a well defined hierarchy with the rest of the states. Moreover, introducing many light flavors at fixed number of colors can influence the dynamics of the lightest flavor-singlet pseudoscalar. We present the on-going study of these flavor-singlet channels using multiple interpolating operators on high-statistics ensembles generated by the LatKMI collaboration and we compare results with available data obtained by the Lattice Strong Dynamics collaboration. For the theory with 8 flavors, the two collaborations have generated configurations that complement each others with the aim to tackle the massless limit using the largest possible volumes.

Investigation of the scalar spectrum in SU (3) with eight degenerate flavors

The Lattice Strong Dynamics collaboration is investigating the properties of a SU(3) gauge theory with [Formula: see text] light fermions on the lattice. We measure the masses of the lightest pseudoscalar, scalar and vector states using simulations with the nHYP staggered-fermion action on large volumes and at small fermion masses, reaching [Formula: see text]. The axial-vector meson and the nucleon are also studied for the same range of fermion masses. One of the interesting features of this theory is the dynamical presence of a light flavor-singlet scalar state with [Formula: see text] quantum numbers that is lighter than the vector resonance and has a mass consistent with the one of the pseudoscalar state for the whole fermion mass range explored. We comment on the existence of such state emerging from our lattice simulations and on the challenges of its analysis. Moreover we highlight the difficulties in pursuing simulations in the chiral regime of this theory using large volumes.

Drop computing: Ad-hoc dynamic collaborative computing

Mobile applications nowadays generally consist of a frontend component running on the device, and a backend component running on the cloud that performs the larger computations. However, this usage model leads to high costs for developing the application (since a cloud infrastructure that should scale to the number of users must be maintained), and to a potentially bad user experience (if the latency is high or the users employ mobile broadband they pay for). Thus, we introduce the Drop Computing paradigm, which proposes the concept of decentralized computing over multilayered networks, combining cloud and wireless technologies over a social crowd formed between mobile and edge devices. Mobile devices and people interconnect to form ad-hoc dynamic collaborations to support the equivalent of a crowd-based edge multilayered cloud of clouds, where the capabilities of any mobile device are extended beyond the local technology barriers, to accommodate external resources available in the crowd of other devices. Thus, instead of every data or computation request going directly to the cloud, Drop Computing employs the mobile crowd formed of devices in close proximity for quicker and more efficient access. Devices in the mobile crowd are leveraged for requesting already downloaded data or performing computations, and the cloud acts as the second (or even third) option. We present a proof-of-concept implementation of Drop Computing and show, through simulations, that it is feasible for real-life usage, since it is able to drastically reduce costs while not affecting or even improving the user experience.

Smart Cities as Organizational Fields: A Framework for Mapping Sustainability-Enabling Configurations

Despite the impressive growth of smart city initiatives worldwide, an organizational theory of smart city has yet to be developed, and we lack models addressing the unprecedented organizational and management challenges that emerge in smart city contexts. Traditional models are often of little use, because smart cities pursue different goals than traditional organizations, are based on networked, cross-boundary activity systems, rely on distributed innovation processes, and imply adaptive policy-making. Complex combinations of factors may lead to vicious or virtuous cycles in smart city initiatives, but we know very little about how these factors may be identified and mapped. Based on an inductive study of a set of primary and secondary sources, we develop a framework for the configurational analysis of smart cities viewed as place-specific organizational fields. This framework identifies five key dimensions in the configurations of smart city fields; these five dimensions are mapped through five sub-frameworks, which can be used both separately as well as for an integrated analysis. Our contribution is conceived to support longitudinal studies, natural experiments and comparative analyses on smart city fields, and to improve our understanding of how different combinations of factors affect the capability of smart innovations to translate into city resilience, sustainability and quality of life. In addition, our results suggest that new forms of place-based entrepreneurship constitute the engine that allows for the dynamic collaboration between government, citizens and research centers in successful smart city organizational fields.

A sensor-service collaboration approach for target tracking in wireless camera networks

Mobile target tracking is a necessary function of some emerging application domains, such as virtual reality, smart home and intelligent healthcare. However, existing portable devices for target tracking are resource intensive and high-cost. Camera tracking is an effective location tracking way for those emerging applications which can reuse the existing ubiquitous video monitoring system. This paper proposes a dynamic community-based camera collaboration (D3C) framework for target location and tracking. The contributions of D3C mainly include that (1) nonlinear perspective projection model is selected as the camera sensing model and sequential Monte Carlo is employed to predict the target location; (2) a dynamic collaboration scheme is proposed, it is based on the local community-detection theory deriving from social network analysis. The performance of proposed approach is validated by both synthetic datasets and real-world application. The experiment results show that D3C meets the versatility, real-time and fault tolerance requirements of target tracking applications.

Identification of Associations between Cognitive Agents Using Learning Based System

The research is to pronounce the socialization with humans after identification of relationships between cognitive agents recognized with the perspective of focus, selective attention, intention and decision making. Machine learning is used to understand environment complexity, dynamic collaboration, noise, features, domain and range on different parameters. Range of view is an interesting approach for relationship identification with respect to time, distance and face direction in a settled boundary that are trying to answer socialized behavior between those multiple agents. In resultant, the system agent finds friend, best friend and stranger relationships between other agents by using top down approach. The application can play a wonderful role for security purposes, gaming, labs, and intelligence agencies etc.

Modes of Effective Connectivity within Cortical Pathways Are Distinguished for Different Categories of Visual Context: An fMRI Study.

Context contributes to accurate and efficient information processing. To reveal the dynamics of the neural mechanisms that underlie the processing of visual contexts during the recognition of color, shape, and 3D structure of objects, we carried out functional magnetic resonance imaging (fMRI) of subjects while judging the contextual validity of the three visual contexts. Our results demonstrated that the modes of effective connectivity in the cortical pathways, as well as the patterns of activation in these pathways, were dynamical depending on the nature of the visual contexts. While the fusiform gyrus, superior parietal lobe, and inferior prefrontal gyrus were activated by the three visual contexts, the temporal and parahippocampal gyrus/Amygdala (PHG/Amg) cortices were activated only by the color context. We further carried out dynamic causal modeling (DCM) analysis and revealed the nature of the effective connectivity involved in the three contextual information processing. DCM showed that there were dynamic connections and collaborations among the brain regions belonging to the previously identified ventral and dorsal visual pathways.