Part I. Experimental Studies: 2. Experiment in psychology 3. Experiments on perceiving III Experiments on imaging 4-8. Experiments on remembering: (a) The method of description (b) The method of repeated reproduction (c) The method of picture writing (d) The method of serial reproduction (e) The method of serial reproduction picture material 9. Perceiving, recognizing, remembering 10. A theory of remembering 11. Images and their functions 12. Meaning Part II. Remembering as a Study in Social Psychology: 13. Social psychology 14. Social psychology and the matter of recall 15. Social psychology and the manner of recall 16. Conventionalism 17. The notion of a collective unconscious 18. The basis of social recall 19. A summary and some conclusions.

Remembering. A Study in Experimental and Social Psychology, Cambridge (University Press) 1964.

by J. Biggs and C. Tang, Maidenhead, England,
Open University Press, 2007, 360 pp., £29.99, ISBN-13: 978-0-335-22126-4

Teaching for quality learning at university

Rapid advances in industrial information integration methods have spurred tremendous growth in the use of enterprise systems. Consequently, a variety of techniques have been used for probing enterprise systems. These techniques include business process management, workflow management, Enterprise Application Integration (EAI), Service-Oriented Architecture (SOA), grid computing, and others. Many applications require a combination of these techniques, which is giving rise to the emergence of enterprise systems. Development of the techniques has originated from different disciplines and has the potential to significantly improve the performance of enterprise systems. However, the lack of powerful tools still poses a major hindrance to exploiting the full potential of enterprise systems. In particular, formal methods and systems methods are crucial for modeling complex enterprise systems, which poses unique challenges. In this paper, we briefly survey the state of the art in the area of enterprise systems as they relate to industrial informatics.

Enterprise Systems: State-of-the-Art and Future Trends

Though research on the Semantic Web has progressed at a steady pace, its promise has yet to be realized. One major difficulty is that, by its very nature, the Semantic Web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each source. We cannot expect each user to know the trustworthiness of each source, nor would we want to assign top-down or global credibility values due to the subjective nature of trust. We tackle this problem by employing a web of trust, in which each user maintains trusts in a small number of other users. We then compose these trusts into trust values for all other users. The result of our computation is not an agglomerate "trustworthiness" of each user. Instead, each user receives a personalized set of trusts, which may vary widely from person to person. We define properties for combination functions which merge such trusts, and define a class of functions for which merging may be done locally while maintaining these properties. We give examples of specific functions and apply them to data from Epinions and our BibServ bibliography server. Experiments confirm that the methods are robust to noise, and do not put unreasonable expectations on users. We hope that these methods will help move the Semantic Web closer to fulfilling its promise.

Trust management for the Semantic Web

Arthur Chickering is Distinguished Professor of Higher Education at Memphis State University. On leave from the Directorship of the Center for the Study of Higher Education at Memphis State, he is Visiting Professor at George Mason University. Zelda Gamson is a sociologist who holds appointments at the John W. McCormack Institute of Public Affairs at the University of Massachusetts-Boston and in the Center for the Study of Higher and Postsecondary Education at the University of Michigan.

Seven Principles for Good Practice in Undergraduate Education: Faculty Inventory. Institutional Inventory.

Background: Machine Learning (ML) has been widely used as a powerful tool to support Software Engineering (SE). The fundamental assumptions of data characteristics required for specific ML methods have to be carefully considered prior to their applications in SE. Within the context of Continuous Integration (CI) and Continuous Deployment (CD) practices, there are two vital characteristics of data prone to be violated in SE research. First, the logs generated during CI/CD for training are imbalanced data, which is contrary to the principles of common balanced classifiers; second, these logs are also time-series data, which violates the assumption of cross-validation. Objective: We aim to systematically study the two data characteristics and further provide a comprehensive evaluation for predictive CI/CD with the data from real projects. Method: We conduct an experimental study that evaluates 67 CI/CD predictive models using both cross-validation and time-series-validation. Results: Our evaluation shows that cross-validation makes the evaluation of the models optimistic in most cases, there are a few counter-examples as well. The performance of the top 10 imbalanced models are better than the balanced models in the predictions of failed builds, even for balanced data. The degree of data imbalance has a negative impact on prediction performance. Conclusion: In research and practice, the assumptions of the various ML methods should be seriously considered for the validity of research. Even if it is used to compare the relative performance of models, cross-validation may not be applicable to the problems with time-series features. The research community need to revisit the evaluation results reported in some existing research.

/pdf/an-experimental-evaluation-of-imbalanced-learning-and-time-3vgf1dttei.pdf

An Experimental Evaluation of Imbalanced Learning and Time-Series Validation in the Context of CI/CD Prediction

Are you a human or a humanoid: Predictive user modelling through behavioural analysis of online gameplay data

Continuous integration (CI) is a key practice where developers integrate frequently via a shared repository to enable automated build, test, and release of software systems. While enabling CI in a centralised development environment has been a common practice, no much work has been done to effectively support CI of decentralised service-oriented systems where centralised repositories are unavailable. This paper presents SORCER, a decentralised interface-based continuous integration platform that makes it easy for developers to perform integrated build and test of service-oriented systems whose service constituents are owned and managed by different organisations to only expose their interfaces without access to their source codes.

SORCER: A decentralised continuous integration platform for service-oriented software systems

Highlighting text is a common feature in most single-user editors. It provides users with a mechanism of communication and collaboration between the author and readers by emphasizing some important text. This feature is also necessary and even more valuable in multi-user collaborative editors. However, it is non-trivial to extend this feature from the single-user environment to the multi-user collaborative environment because of the following challenges: 1) the need to differentiate highlights by different users, 2) the need to tackle inconsistency problems caused by concurrent operations, and 3) the need to provide a flexible undo facility with the capability of undoing any highlighting operation at any time. In this paper we systematically address these issues and offer our solutions, which have been implemented in the REDUCE (real-time distributed unconstrained collaborative editing) system.

Highlighting: a gesturing communication tool for real-time collaborative systems

An efficient routing protocol for data packet delivery is crucial to underwater sensor networks (UWSNs). However, design of such a protocol is a challenging task due to the characteristics of the acoustic channel used for communication by UWSNs. In this paper, we present a novel energy-efficient localization-based geographic routing protocol EEL, which uses location information and residual energy of sensor nodes to greedily forward data packets to sink nodes. EEL periodically updates the location information of nodes in an UWSN and effectively adapt to the dynamic topological changes of the network. Simulation results show that EEL can effectively locate the nodes and significantly improve the packet delivery ratio and reduce the energy consumption in a routing process.

Haifeng Shen

Papers

An Experimental Evaluation of Imbalanced Learning and Time-Series Validation in the Context of CI/CD Prediction

Are you a human or a humanoid: Predictive user modelling through behavioural analysis of online gameplay data

SORCER: A decentralised continuous integration platform for service-oriented software systems

Highlighting: a gesturing communication tool for real-time collaborative systems

An Energy-Efficient Localization-Based Geographic Routing Protocol for Underwater Wireless Sensor Networks