EAI Endorsed Transactions on Collaborative Computing

EAI Endorsed Transactions on Collaborative Computing is an open access, peer-reviewed scholarly journal focused on theoretical foundations, methodologies, and algorithms supporting collaborative networks, applications, and work-sharing. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a triannual frequency. Authors are not charged for article submission and processing.

Editor(s)-in-Chief: Xinheng Wang and Honghao Gao

Aims & Scope
Announcements
Indexing
Editors in Chief
Editorial Board
Special Issues

With the recent advances in computing and information technologies, we are seeing unprecedented opportunities for increased electronic collaborations among individuals and distributed teams of humans, computer systems and applications, and/or a highly heterogeneous set of computing devices. Computing technologies have continued to evolve from standalone tools, to open systems and from general purpose tools to specialized collaboration grids and infrastructures that facilitate intensive collaboration in multi-organizational settings, as well as in the context of global scale social interactions and worksharing.

Such collaborations are enabling large and globally dispersed organizations to achieve a much higher level of productivity and jointly produce innovative and powerful products that would be impossible to develop without the contributions of multiple collaborators. Novel collaboration solutions that fully realize the promises of electronic collaboration, and pushes the limits of human endeavor, productivity and discovery require innovations and advancements in broad areas of computing including networking, systems and applications, user interfaces and interaction paradigms, and seamless interoperation among system, network and application-specific components and tools.

The goal of this journal is to serve as a premier international venue for publishing innovative and cutting edge research results in theory as well as applied systems, applications and networking areas that enable intensive and efficient collaboration across and among networked cyber-physical and social systems and applications, individuals as well as enterprises. Sample topics of interest include, but are not limited to:

Sample topics of interest include, but are not limited to:

Theoretical foundations and algorithms for collaborative networks, applications, and worksharing
Architectures, protocols, and enabling technologies for collaborative networks, systems and applications
Autonomic computing and quality of services in collaborative networks, systems, and applications
Collaboration in context-aware, pervasive, cloud computing, social networking, and cyber physical environments
Collaborative multimedia systems/applications, large scale databases and Big Data
Collaboration in e-health, e-learning, e-government, and digital libraries
Collaborative network infrastructures such as body area networks, wireless sensor networks, VANETS, mobile networks, etc.
Models and mechanisms for real-time and large scale collaboration, information sharing and worksharing
Security, privacy, resiliency/survivability and trust management in collaborative networks, systems, and applications
Simulation, performance evaluation, experiments, and case studies of collaborative environments
Collaborative web services technologies, business processes, workflows, and service-oriented systems and architectures

Song Guo (The University of Aizu) Kui Wu (University of Victoria) Cong Wang (City University of Hong Kong) Robert Birke (IBM Research Zurich) Dimitrios Koutsonikolas (University at Buffalo, SUNY) Andreas Petlund (Simula Research Laboratory) Shervin Shirmohammadi (University of Ottawa) Razib Iqbal (Missouri State University) Aiman Erbad (Qatar University) Ali A Nazari Shirehjini (Sharif University of Technology) Dewan Ahmed (University of North Carolina at Charlotte) Edith Ngai (Uppsala University) Xiaoxian Yang (SSPU)

Xinheng Wang¹

Prof. Wang is currently the Head of the Department of Mechatronics and Robotics. He is an IET Fellow and a senior member of IEEE. He has broad academic working experience in China, England, Wales, and Scotland for more than 20 years. He has extensive research experience in Internet of Things (IoT), wireless mesh networks, indoor positioning, big data analytics, and applications for smart cities. Along with nearly 30 research projects sponsored by EU, UK EPSRC, Innovate UK, China NSFC, and industry, his research in each area has led to an impactful industrial product. For example, the smart trolley, which has been deployed at more than 10 airports in China, he has developed with partners is the first in the world to provide an IoT solution aiming at providing intelligent services for passengers. His collaborative research in acoustic localization with Zhejiang University has won first place in Microsoft Indoor Localisation Competition in sound group. His current research interests include tactile Internet, indoor positioning and data services, acoustic localization, communications and sensing, and networking mechatronic systems. A team with collaborators inside and outside the university, including Oxford University and Zhejiang University is working on these areas. If you would like to collaborate with me on research or study with me for a Ph.D. degree, feel free to contact me.

Honghao Gao²

Honghao Gao received the Ph.D. degree in Computer Science and started his academic career at Shanghai University in 2012. He is an IET Fellow(FIET), BCS Fellow(FBCS), EAI Fellow(FEAI), IEEE Senior Member(SMIEEE), CCF Senior Member(SMCCF), and CAAI Senior Member(SMCAAI). Dr. Gao is currently a Distinguished Professor with the Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, China, and is a Research Fellow with the Software Engineering Information Technology Institute of Central Michigan University (CMU), USA. Dr. Gao's research interests include service computing, model checking-based software verification, wireless network and IoT, and intelligent medical image processing.

1: Xi'an Jiaotong-Liverpool Univesity, China
2: Shanghai University, China

Recently Published
Most Popular

A Framework for Predicting Network Security Situation Based on the Improved LSTM
Appears in:
cc 20(13): e5

Authors:
Shixuan Li, Dongmei Zhao, Qingru Li

Published:
12th Jun 2020

Abstract:
In recent years, raw security situation data cannot be utilized well by fully connected neural networks. Generally, a cyber infiltration is a gradual process and there are logical associations between future situation and historical information. Taking the factors into account, this paper propose…In recent years, raw security situation data cannot be utilized well by fully connected neural networks. Generally, a cyber
infiltration is a gradual process and there are logical associations between future situation and historical information.
Taking the factors into account, this paper proposes a framework to predict network security situation. According the
needs of this framework, we improve Long Short-Term Memory (LSTM) with Cross-Entropy function, Rectified Linear
Unit and appropriate layer stacking. Modules are designed in the framework to transform raw data into quantitative results.
Finally, the performance is evaluated on KDD CUP 99 dataset and UNSW-NB15 dataset. Experiments prove that the
framework built with the improved LSTM has better performance to predict network security situation in the near future.
The framework achieves a relatively practical prediction of network security situation, helping provide advanced measures
to improve network security.
more »
Analysis and improvement of evaluation indexes for clustering results
Appears in:
cc 20(13): e4

Authors:
Hao Zhong, Huibing Zhang, Fei Jia

Published:
18th Feb 2020

Abstract:
Clustering algorithm is the main field in collaborative computing of social network. How to evaluate clustering results accurately has become a hot spot in clustering algorithm research. Commonly used evaluation indexes are SC, DBI and CHI. There are two shortcomings in the calculation of three i…Clustering algorithm is the main field in collaborative computing of social network. How to evaluate clustering
results accurately has become a hot spot in clustering algorithm research. Commonly used evaluation indexes
are SC, DBI and CHI. There are two shortcomings in the calculation of three indexes. (1) Keep the number
of clusters and the objects in the cluster unchanged. When transforming the feature vector, the three indexes
will change greatly; (2) Keep the feature vector and the number of clusters unchanged. When changing the
objects in the cluster, the three indexes will change tinily. This shows that the three indexes unable to evaluate
the clustering results very well. Therefore, based on the calculation process of the three indexes, the paper
proposes new three indexes - NSC, NDBI and NCHI. Through testing on standard data sets, three new indexes
can better evaluate clustering results.
more »
A Power Optimized Method for Mode Switching in Android Systems
Appears in:
cc 20(13): e3

Authors:
Bo Chen, Xiaofan Shen

Published:
6th Aug 2019

Abstract:
How the Suspend/Resume mechanism of smartphone influences the power consumption is examined in the dissertation. Specifically, various unimportant and not so urgent network packets keep awakening the operating system (OS) at the time it is under suspend mode, and switch it from suspend to resume …How the Suspend/Resume mechanism of smartphone influences the power consumption is examined in
the dissertation. Specifically, various unimportant and not so urgent network packets keep awakening the
operating system (OS) at the time it is under suspend mode, and switch it from suspend to resume mode
continually, which results in more power consumption. Accordingly, an innovative optimization technique
was suggested in this paper in order that the awakening of OS can be postponed and the lasting hour of suspend mode can be lengthened to decrease power consumption. Some experiments are also carried out, with the result data suggesting that such technique is an effective way to reduce power consumption by greater than 7.63%. It proves that this technique is workable.
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An effective method for calculating crossed span distance of overhead line based on three-dimensional inclination algorithm
Appears in:
cc 20(13): e2

Authors:
Liying Zhao, Minzhen Wang, Chuan Zhang, Guanqiao Hao, Keqiang Wang, Xiaoning Tang, Li Ning

Published:
24th Jun 2019

Abstract:
In order to safely operate the electric transmission lines, to monitoring the crossed span distance of the overhead lines is one of the key measures. Since the current measurement methods of crossed span distance of overhead line has high cost, low accuracy, and traditional measurement methods has …In order to safely operate the electric transmission lines, to monitoring the crossed span distance of the overhead lines is one of the key measures. Since the current measurement methods of crossed span distance of overhead line has high cost, low accuracy, and traditional measurement methods has low efficiency, the monitoring model of overhead line in three-dimensional space is constructed, and based on oblique parabola equation. The algorithm for detecting the crossed span distance based on three-dimensional inclination under the windless and windy conditions is studied, which are applied to the on-line monitoring system. Through actual measurement, the accuracy and practicability of the three-dimensional model and algorithm are verified which provides reliable algorithm support for traverse crossing distance measurement and on-line monitoring system, and improves work efficiency.
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Nash Equilibrium Seeking with Non-doubly Stochastic Communication Weight Matrix
Appears in:
cc 20(13): e1

Authors:
Farzad Salehisadaghiani, Lacra Pavel

Published:
30th Apr 2019

Abstract:
We propose a distributed Nash equilibrium seeking algorithm in a networked game, where each player has incomplete information on other players’ actions. Players keep estimates and communicate over a strongly connected digraph with their neighbours according to a gossip communication protocol. Due t…We propose a distributed Nash equilibrium seeking algorithm in a networked game, where each player has incomplete information on other players’ actions. Players keep estimates and communicate over a strongly connected digraph with their neighbours according to a gossip communication protocol. Due to the asymmetric information exchange between players, a non-doubly (row)-stochastic weight matrix is deﬁned. We prove almost-sure convergence of the algorithm to a Nash equilibrium under diminishing step-sizes. We extend the algorithm to graphical games in which players’ cost functions are dependent only on their neighbouring players in an interference digraph. Given the interference digraph, a communication digraph is designed so that players exchange only their required information. The communication digraph is a subset of the interference digraph and a superset of its transitive reduction. Finally, we verify the eﬃcacy of the algorithm via simulation on a social media behavioural case.
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An Augmented User Model for Personalized Search in Collaborative Social Tagging Systems
Appears in:
cc 17(12): e4

Authors:
Wenyu Zhao, Dong Zhou, Xuan Wu, Séamus Lawless, Jianxun Liu

Published:
9th Oct 2017

Abstract:
Alongside the enormous volume of user-generated content posted to World Wide Web, there exists a thriving demand for search personalization services. To provide personalized services, a user model is usually required. We address the setting adopted by the majority of previous work, where a user mod…Alongside the enormous volume of user-generated content posted to World Wide Web, there exists a thriving demand for search personalization services. To provide personalized services, a user model is usually required. We address the setting adopted by the majority of previous work, where a user model consists solely of the user’s past information. We construct an augmented user model from a number of tags and documents. These resources are further processed according to the user’s past information by exploring external knowledge base. A novel generative model is proposed for user model generation. This model utilizes recent advances in neural language models such as Word Embeddings with latent semantic models such as Latent Dirichlet Allocation. We further present a new query expansion method to facilitate the desired personalized retrieval. Experiments conducted on two real-world collaborative social tagging datasets show that our proposed methods outperform state-of-the-art methods.
more »
Impact of window to walls ratios on thermal comfort and energy consumption in tropical zone
Appears in:
cc 17(12): e3

Authors:
Fallou Sene, Mactar Faye, Vincent Sambou, Ababacar Thiam

Published:
9th Oct 2017

Abstract:
This paper investigated the impact of Window to Wall Ratios (WWR) an the thermal comfort and energy lighting demand of a building in tropical zone. Simulations were carried out for a reference office proposed by Task 27 of IEA using three Window to Wall Ratios (WWR). Results were analyzed both in t…This paper investigated the impact of Window to Wall Ratios (WWR) an the thermal comfort and energy lighting demand of a building in tropical zone. Simulations were carried out for a reference office proposed by Task 27 of IEA using three Window to Wall Ratios (WWR). Results were analyzed both in terms of operative temperature and energy lighting consumption. Simulations results showed that for increasing WWR, the operative temperature increases and energy lighting demand decreases.
more »
Analysis of Meteorological Data for applications in Ngoundiane’s Site
Appears in:
cc 17(12): e2

Authors:
A. Sadio, I. Fall, S. Mbodji, G. G. Sissoko

Published:
9th Oct 2017

Abstract:
This work is about an appropriate cho oiicce of a renewable energy source between a wind turburbine and a solar power plant. The selected renewable energy source sshould supply electricity to a site, part of the Universsiity Alioune Diop of Bambey, in Ngoundiane, Thies region. The wwo ork is based…This work is about an appropriate cho oiicce of a renewable energy source between a wind turburbine and a solar power plant. The selected renewable energy source sshould supply electricity to a site, part of the Universsiity Alioune Diop of Bambey, in Ngoundiane, Thies region. The wwo ork is based on analysis of meteorological parammeters (wind speed, ambient temperature, solar irradiation). Accordrding to this study, the use of solar energy to prododuuce electricity in the site of Ngoundiane is very promising. Focususiing on a standalone photovoltaic system seem to bbe e the solution because solar resource is very abundant in Senegal anndd is easier characterized than wind resources. Moreovveer, photovoltaic technology is very well mastered.
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An Alert System on the Presence of Myriapods in Peanut Farms in Senegal
Appears in:
cc 17(12): e1

Authors:
Babacar Mbaye, Assane Gueye

Published:
9th Oct 2017

Abstract:
In Senegal, agriculture remains one of the most important sectors of the economy and the culture of peanut is one of the pillars in this domain. Unfortunately, the expansion of this culture is constantly hampered by attacks from several enemies such as the myriapods. These attacks can happen as ear…In Senegal, agriculture remains one of the most important sectors of the economy and the culture of peanut is one of the pillars in this domain. Unfortunately, the expansion of this culture is constantly hampered by attacks from several enemies such as the myriapods. These attacks can happen as early as during the germination but also during the fructification of the plants. As a defense solution, farmers use pesticides that often are hostile to the environment. The goal of this project is to build an early detection system that can warn farmers about the presence of the myriapods before the onset of the first attacks. Our proposed solution will be composed of a network of sensors that collect data (environment, soil acidity/composition, etc…), a computing system that uses the collected data to infer whether the insects are present or not, and a communication system that delivers alerts and advices to the farmers. Early detection of myriapods will allow farmers to use better and more environment-friendly defense solutions. We envision to efficiently build such system while keeping its price as low as possible.
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A method to determine the transient capacitance of the bifacial solar cell considering the cylindrica grain and the dynamic junction velocity (Sf)
Appears in:
cc 17(11): e5

Authors:
S. N. Leye, A. Diouf, S. Mbodji, G. G. Sissoko

Published:
30th Jun 2017

Abstract:
In this paper, we present a new techninic based on the dynamic junc velocity (Sf) conconce ept for the evaluation of the transient diffusion capacitance of the bbiifacial solar cell considering cylindrical model of th hee grains. Associating (Sf), the back surface recombination velocity (SSbb) and …In this paper, we present a new techninic based on the dynamic junc velocity (Sf) conconce ept for the evaluation of the transient diffusion capacitance of the bbiifacial solar cell considering cylindrical model of th hee grains. Associating (Sf), the back surface recombination velocity (SSbb) and the grain boundary recombination velocity (Sgb)gb), we resolved the continuity equation in the base of the solar cell un undder monochromatic illumination. We calculated and ppllo otted the solar cell’s transient diffusion capacitance profile which deeccreases with the dynamic junction velocity (Sf), thehe back surface recombination velocity (Sb), the grain boundary recoommbination velocity (Sgb) and the high wave TThe study shows also that the transient diffusion capacitance increasesess with the grains size (R).
more »

Is Email Business Dying?: A Study on Evolution of Email Spam Over Fifteen Years
Appears in:
cc 14(1): e3

Authors:
De Wang, Danesh Irani, Calton Pu

Downloads:
2666

Abstract:
With the increasing dedication and sophistication of spammers, email spam is a persistent problem even today. Popular social network sites such as Facebook, Twitter, and Google+ are not exempt from email spam as they all interface with email systems. While some report predicts that email spam busin…With the increasing dedication and sophistication of spammers, email spam is a persistent problem even today. Popular social network sites such as Facebook, Twitter, and Google+ are not exempt from email spam as they all interface with email systems. While some report predicts that email spam business is dying due to the
decreasing volume of email spam. Whether email spam business is really dying is an interesting question. In this paper, we analyze email spam trends on Spam Archive dataset, which contains 5.5 million spam emails over 15 years (1998 – 2013). We statistically analyze emails contents including header information (e.g. content type) and embedded items (e.g. URL links). Also, we investigate topic drift using topic modeling technique. Moreover, we perform network analysis on sender-to-receiver IP routing networks. Our study shows the dynamic nature of email spam over one and a half decades and demonstrate that the email spam business is not dying but more capricious.
more »
Space Searching Algorithms Used by Fungi
Appears in:
cc 16(9): e5

Authors:
Elitsa Asenova, Eileen Fu, Dan Nicolau Jr, Hsin-Yu Lin, Dan Nicolau

Downloads:
2626

Abstract:
Experimental studies have shown that fungi use a natural program for searching the space available in micro-confined networks, e.g., mazes. This natural program, which comprises two subroutines, i.e., collision-induced branching and directional memory, has been shown to be efficient compared with t…Experimental studies have shown that fungi use a natural program for searching the space available in micro-confined networks, e.g., mazes. This natural program, which comprises two subroutines, i.e., collision-induced branching and directional memory, has been shown to be efficient compared with the suppressing one, or both subroutines. The present contribution compares the performance of the fungal natural program against several standard space searching algorithms. It was found that the fungal natural algorithm consistently outperforms Depth-First-Search (DFS) algorithm, and although it is inferior to informed algorithms, such as A*, this under-performance does not increase importantly with the increase of the size of the maze. These findings encourage a systematic effort to harvest the natural space searching algorithms used by microorganisms, which, if efficient, can be reverse-engineered for graph and tree search strategies.
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TinCan: User-Defined P2P Virtual Network Overlays for Ad-hoc Collaboration
Appears in:
cc 14(2): e4

Authors:
Pierre St Juste, Kyuho Jeong, Heungsik Eom, Corey Baker, Renato Figueiredo

Downloads:
2009

Abstract:
Virtual private networking (VPN) has become an increasingly important component of a collaboration environment because it ensures private, authenticated communication among participants, using existing collaboration tools, where users are distributed across multiple institutions and can be mobile. …Virtual private networking (VPN) has become an increasingly important component of a collaboration environment because it ensures private, authenticated communication among participants, using existing collaboration tools, where users are distributed across multiple institutions and can be mobile. The majority of current VPN solutions are based on a centralized VPN model, where all IP traffic is tunneled through a VPN gateway. Nonetheless, there are several use case scenarios that require a model where end-to-end VPN links are tunneled upon existing Internet infrastructure in a peer-to-peer (P2P) fashion, removing the bottleneck of a centralized VPN gateway. We propose a novel virtual network — TinCan — based on peerto-peer private network tunnels. It reuses existing standards and implementations of services for discovery
notification (XMPP), reflection (STUN) and relaying (TURN), facilitating configuration. In this approach, trust relationships maintained by centralized (or federated) services are automatically mapped to TinCan links. In one use scenario, TinCan allows unstructured P2P overlays connecting trusted end-user devices — while only requiring VPN software on user devices and leveraging online social network (OSN) infrastructure already widely deployed. This paper describes the architecture and design of TinCan and presents an experimental evaluation of a prototype supporting Windows, Linux, and Android mobile devices. Results quantify the
overhead introduced by the network virtualization layer, and the resource requirements imposed on services needed to bootstrap TinCan links.
more »
ARZombie: A Mobile Augmented Reality Game with Multimodal Interaction
Appears in:
cc 15(4): e4

Authors:
Diogo Cordeiro, Rui Jesus, Nuno Correia

Downloads:
1963

Abstract:
Augmented reality games have the power to extend virtual gaming into real world scenarios with real people, while enhancing the senses of the user. This paper describes the AR- Zombie game developed with the aim of studying and developing mobile augmented reality applications, specifically for tabl…Augmented reality games have the power to extend virtual gaming into real world scenarios with real people, while enhancing the senses of the user. This paper describes the AR- Zombie game developed with the aim of studying and developing mobile augmented reality applications, specifically for tablets, using face recognition interaction techniques. The goal of the ARZombie player is to kill zombies that are detected through the display of the device. Instead of using markers as a mean of tracking the zombies, this game incorporates a facial recognition system, which will enhance the user experience by improving the interaction of players with the real world. As the player moves around the environment, the game will display virtual zombies on the screen if the detected faces are recognized as belonging to the class of the zombies. ARZombie was tested with users to evaluate the interaction proposals and its components were evaluated regarding the performance in order to ensure a better gaming experience.
more »
Wayfinding and Navigation for People with Disabilities Using Social Navigation Networks
Appears in:
cc 14(2): e5

Authors:
Hassan A. Karimi, M. Bernardine Dias, Jonathan Pearlman, George J. Zimmerman

Downloads:
1876

Abstract:
To achieve safe and independent mobility, people usually depend on published information, prior experience, the knowledge of others, and/or technology to navigate unfamiliar outdoor and indoor environments. Today, due to advances in various technologies, wayfinding and navigation systems and servi…To achieve safe and independent mobility, people usually depend on published information, prior experience, the knowledge of others, and/or technology to navigate unfamiliar outdoor and indoor environments. Today, due to advances in various technologies, wayfinding and navigation systems and services are commonplace and are accessible on desktop, laptop, and mobile devices. However, despite their popularity and widespread use, current wayfinding and navigation solutions often fail to address the needs of people with disabilities (PWDs). We argue that these shortcomings are primarily due to the ubiquity of the compute-centric approach adopted in these systems and services, where they do not benefit from the experience-centric approach. We propose that following a hybrid approach of combining experience-centric and compute-centric methods will overcome the shortcomings of current wayfinding and navigation solutions for PWDs.
more »
Modular Asynchronous Web Programming: Advantages & Challenges
Appears in:
cc 16(8): e3

Authors:
Wiliam Rocha, Hiroaki Fukuda, Paul Leger

Downloads:
1832

Abstract:
Because of the success of the Internet technologies, traditional standalone applications like Spreadsheet and Drawing are now provided as Web Applications. These adopt asynchronous programming that provides high responsive user interactions. At the same time these applications can grow and make …Because of the success of the Internet technologies, traditional standalone applications like Spreadsheet and Drawing
are now provided as Web Applications. These adopt asynchronous programming that provides high responsive user
interactions. At the same time these applications can grow
and make their maintenance harder, turning Modular Programming an attractive practice because of its concept of
dividing concerns in separated modules. However, it’s difficult to combine asynchronous methods and modular programming because the first requires uncoupling a module
into two sub-modules, which are non-intuitively connected
by a callback method. It can spawn the creation of other two
issues: callback spaghetti and callback hell. Some proposals have been developed to reduce the issues about modular
programming. In this paper, we compare and evaluate them
applying them to a non-trivial open source application, the
FlickrSphere. Then, we will discuss our experience.
more »
Reconciling Schema Matching Networks Through Crowdsourcing
Appears in:
cc 14(1): e2

Authors:
Nguyen Quoc Viet Hung, Nguyen Thanh Tam, Zoltán Miklós, Karl Aberer

Downloads:
1739

Abstract:
for data integration purposes. Although several automatic schema matching tools have been developed, their results are often incomplete or erroneous. To obtain a correct set of correspondences, usually human effort is required to validate the generated correspondences. This validation process is of…for data integration purposes. Although several automatic schema matching tools have been developed, their results are often incomplete or erroneous. To obtain a correct set of correspondences, usually human effort is required to validate the generated correspondences. This validation process is often costly, as it is performed by highly skilled experts. Our paper analyzes how to leverage crowdsourcing techniques to validate the generated correspondences by a large group of non-experts.
In our work we assume that one needs to establish attribute correspondences not only between two schemas but in a network. We also assume that the matching is realized in a pairwise fashion, in the presence of consistency expectations about the network of attribute correspondences. We demonstrate that formulating these expectations in the form of integrity constraints can improve the process of reconciliation. As in the case of crowdsourcing the user’s input is unreliable, we need specific aggregation techniques to obtain good quality.
We demonstrate that consistency constraints can not only improve the quality of aggregated answers, but they also enable us to more reliably estimate the quality answers of individual workers and detect spammers. Moreover, these constraints also enable to minimize the necessary human effort needed, for the same expected quality of results.
more »
Effects of Cohesion-Based Feedback on the Collaborations in Global Software Development Teams
Appears in:
cc 15(6): e2

Authors:
Alberto Castro-Hernández, Kathleen Swigger, Mirna P. Ponce-Flores

Downloads:
1695

Abstract:
This paper describes a study that examines the effect of cohesion-based feedback on a team member’s behaviors in a global software development project. Chat messages and forum posts were collected from a software development project involving students living in the US and Mexico. Half of the team…This paper describes a study that examines the effect of cohesion-based feedback on a team member’s
behaviors in a global software development project. Chat messages and forum posts were collected from
a software development project involving students living in the US and Mexico. Half of the teams in the
project received feedback in the form of a graphical representation that displayed the group’s cohesion level,
while the other teams received no feedback. The nature of the group interactions as well as the linguistic
content of such interactions was then analyzed and compared. Results from this analysis show statistically
significant differences between the feedback and non-feedback c onditions. More s pecifically, cohesion-based
feedback had a positive relation to a team’s total message count, response rate, and individual cohesion score.
In addition, the analysis of linguistic categories showed that the most salient categories observed were related
to words about time and work. Furthermore, a comparison between feedback variables and type (i.e., positive
and negative feedback) indicates that those individuals exposed to negative feedback had an increase in their
communication pacing rates when exposed to positive feedback. Although the feedback system did not appear
to affect individual performance, the findings s u ggest t h at t h e c o hesion m e asure d e fined in th is st ud y is
positively correlated to the task cohesion construct and is also related to individual and team performance.
more »
A Collaborative VirtualWorkspace for Factory Configuration and Evaluation
Appears in:
cc 14(1): e5

Authors:
Ingo Zinnikus, Sergiy Byelozyorov, Xiaoqi Cao, Matthias Klusch, Christopher Krauss, Andreas Nonnengart, Torsten Spieldenner, Stefan Warwas, Philipp Slusallek

Downloads:
1625

Abstract:
The convergence of information technologies (IT) has enabled the Digital Enterprise in which engineering, production planning, manufacturing and sales processes are supported by IT-based collaboration, simulation and enactment. As a result, borders between reality and its virtual representations be…The convergence of information technologies (IT) has enabled the Digital Enterprise in which engineering, production planning, manufacturing and sales processes are supported by IT-based collaboration, simulation and enactment. As a result, borders between reality and its virtual representations become increasingly blurred. Advanced tools need to support flexibility, specialization and collaborative evolution of the design where the exchange of knowledge between domain experts helps to improve informed decision making. In this paper, we present a collaborative, synchronized web-based framework to create 3D scenarios for product design, simulation and training assisted by animated avatars.
more »
A Scheme for Collaboratively Processing Nearest Neighbor Queries in Oblivious Storage
Appears in:
cc 14(2): e3

Authors:
Keith B. Frikken, Shumiao Wang, Mikhail J. Atallah

Downloads:
1573

Abstract:
Security concerns are a substantial impediment to the wider deployment of cloud storage. There are two main concerns on the confidentiality of outsourced data: i) protecting the data, and ii) protecting the access pattern (i.e., which data is being accessed). To mitigate these concerns, schemes for…Security concerns are a substantial impediment to the wider deployment of cloud storage. There are two main concerns on the confidentiality of outsourced data: i) protecting the data, and ii) protecting the access pattern (i.e., which data is being accessed). To mitigate these concerns, schemes for Oblivious Storage (OS) have been proposed. In OS, the data owner outsources a key-value store to a cloud server, and then can later execute get, put, and remove queries, by collaboration with the server; furthermore, both the data and the access pattern are hidden from the server. In this paper, we extend the semantics of OS by proposing an oblivious index that supports nearest neighbor queries. That is, finding the nearest keys to the query in the key-value store. Our proposed index structure for supporting nearest-neighbor has similar performance bounds to previous OS schemes that did not support nearest-neighbor, in terms of client storage, server storage and rounds of communication.
more »

Publisher: EAI
ISSN: 2312-8623
Number of Volumes: 4

Last Published: 2020-06-12

EAI Endorsed Transactions on Collaborative Computing

Xinheng Wang1

Honghao Gao2

Xinheng Wang¹

Honghao Gao²