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Despite employing the architectures designed for high service reliability and availability, cloud computing systems do experience service outages and performance slowdown. In addition to these, large-scale cloud systems experience failures in their hardware and software components which often result in node and application (e.g., jobs and tasks) failures. Therefore, to build a reliable cloud system,...
There are several standard methods for evaluating the performance of models for objective quality assessment with respect to results of subjective tests. However, all of them suffer from one or more of the following drawbacks: They do not consider the uncertainty in the subjective scores, requiring the models to make certain decision where the correct behavior is not known. They are vulnerable to...
We present a system for predicting gaming-related properties from Twitter profiles. Our system predicts various traits of users based on the tweets publicly available on their profiles. Such inferred traits include degrees of tech-savviness, knowledge on computer games, actual gaming performance, preferred platform, degree of originality, humor and influence on others. Our approach is based on machine...
In order to structure the complex nature of the significant wave height time series, Autoregressive Integrated Moving Average model of order (p,1,0) was applied. Each step which is essential for precise modeling is covered comprehensively. First, the stationarity of given time series of SWH with its 1st order difference were checked. Akaike's Information Criteria and Bayesian Information Criteria...
Learning analytics is valuable sources of understanding students' behavior and giving feedback to them so that we can improve their learning activities. Analyzing comment data written by students after each lesson helps to grasp their learning attitudes and situations. They can be a powerful source of data for all forms of assessment. In the current study, we break down student comments into different...
Big-data applications are being increasingly used in today's large-scale data enters for a large variety of purposes, such as solving scientific problems, running enterprise services, and computing data-intensive tasks. Due to the growing scale of these systems and the complexity of running applications, jobs running in big-data systems experience unsuccessful terminations of different nature. While...
Due to the continuous increase in power demand and fast technological improvements and developments, the future of power systems is expected to be a challenging issue. The integration of new sources and technologies are needed to satisfy the utility requests and to decrease the use of fossil fuel sources. One of the main challenging issues in integrating wind power sources is how to forecast the long-term...
Due to changes in the electric power system, small, distributed units substitute conventional power plants with regard to energy supply. This also holds for the provision of ancillary services. To this end, agents that represent units form coalitions. In this paper, a method is introduced to assess such coalitions with respect of how reliable they can provide ancillary services taking into account...
With the electricity market reform in recent years, the electricity price is seeing higher level of volatility and risk. Based on the Multivaraite EMD algorithm, this paper proposes a novel risk measurement approach for studying the risk trends and estimating Value at Risk (VaR) in the electricity market. The Multivariate EMD algorithm is introduced to analyze the multi-scale and the volatility behaviors...
The ability of a learning system to infer a student's affects has become highly relevant to be able to adjust its pedagogical strategies. Several methods have been used to infer affects. One of the most recognized for its reliability is face-based affect recognition. Another emerging one involves the use of brain-computer interfaces. In this paper we compare those strategies and explore if, to a great...
This study aims to discuss the effects of individual emotion and corporative environment on technology transfer, and explores corporative environment moderating effects between emotion and technology transfer. Corporative environment includes interpersonal relationship and social relationship; technology transfer includes explorative organizational learning and knowledge sharing. To predict individual-...
Visual quality (VisQ) representation is a fundamental step in the learning of a VisQ prediction model for photos. It not only reflects how we understand VisQ but also determines the label type. Existing studies apply a scalar value (i.e., a categorical label or a score) to represent VisQ. As VisQ is a subjective property, only a scalar value is insufficient to represent human's perceived VisQ of a...
With the development of information systems, electronic devices are becoming more and more susceptible to soft errors, especially for the tough environment of drastic electromagnetic interference. Architectural Vulnerability Factor (AVF), which is defined as the fraction of soft errors that result in erroneous outputs, has been introduced to quantify the vulnerability of structures to soft errors...
Lightning damage to telecommunication infrastructures will become more serious with global warming because of the increased occurrence of lightning. To estimate the lightning damage to telecommunication equipment in the medium and long term, we have developed an estimation model that uses resident population, which we can calculate from highly reliable predicted demographic shifts in the future. We...
Obsolescence makes equipments supporting and maintaining hard and costly. It hurts the equipments reliability seriously. In the past decades, electronic technology has developed very rapidly causing components (and particularly the FPGAs) to have a shortened life span. So the problem of electronic component obsolescence in complex electronic or long life systems such as aircraft submarines and ships...
The influencing factors on the C2C online bids can be divided in product level and seller level in this paper. We explore the relations between the cross-level using the HLM. The results show that the price and description will respectively have a major impact on the CSS and the CSS between different sellers also have significant differences. The Feedback score and the Positive feedback of sellers...
On the basis of extant literatures, we built a conceptual model of the relationship between perceived quality, trust, extrinsic motivation, intrinsic motivation and usage in the virtual communities with real-name system, and proposed some hypotheses about them. To test the hypotheses, we designed a questionnaire, and collected data from the members who use virtual communities with real-name system...
Driven by the trends towards miniaturization and increased functionality, modern electronic systems are being built into more intricate and smaller packages. The mechanical robustness of these smaller and more complex packages is of great concern to the electronics industry. With advances in packaging technology, more reliable interconnects are being designed as a result of which the accountability...
Probabilistic graphical models are very efficient modeling and reasoning tools. In this paper, we propose an efficient and novel Bayesian network model for a major problem in alert correlation which plays a crucial role in nowadays computer security. Indeed, the use of multiple intrusion detection systems (IDSs) and complementary approaches is fundamental to improve the overall detection rates. This...
The reliability of integrated circuits is becoming of great importance lately as an increasing number of integrated circuits are being used in the automotive sector. As a result, the semiconductor industry is experiencing a greater demand to produce a higher reliability standard of devices without increasing the production cost. There are currently two approaches to increase the reliability of integrated...
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