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Online data provide a way to monitor how users behave in social systems like social networks and online games, and understand which features turn an ordinary individual into a successful one. Here, we propose to study individual performance and success in Multiplayer Online Battle Arena (MOBA) games. Our purpose is to identify those behaviors and playing styles that are characteristic of players with...
It is well recognized that air quality inference is of great importance for environmental protection. However, due to the limited monitoring stations and various impact factors, e.g., meteorology, traffic volume and human mobility, inference of air quality index (AQI) could be a difficult task. Recently, with the development of new ways for collecting and integrating urban, mobile, and public service...
With the rapid advances in IoT technologies, the role of IoT gateways becomes even more important. Therefore, improving the reliability, availability and serviceability (RAS) of IoT gateways is crucial. Nowadays, Linux is widely adopted for core enterprise systems not only because it is a free operating system but also because it offers advantages in regards to operational stability. With many Linux...
IoT systems deployed in industrial and smart factory settings generate large volumes of data at high velocity. Context awareness is mandatory for knowledge discovery and actionable insights from such high-velocity, high-volume IoT data streams. Changes to the context of a data stream are represented in the underlying data distribution. Research in concept drift aims to detect and adapt to such changes...
The mass monitoring data collected by the on-line monitoring of the substation is stored in the Hadoop Distributed File System (HDFS), and the index table structure of the online monitoring data is optimized and stored in the distributed structured database (HBase) Quick access to monitoring data. Based on Hadoop 's online monitoring data processing experiment platform, a fast fault identification...
The full behavior of software-intensive systems of systems (SoS) emerges during operation only. Runtime monitoring approaches have thus been proposed to detect deviations from the expected behavior. They commonly rely on temporal logic or domain-specific languages to formally define requirements, which are then checked by analyzing the stream of monitored events and event data. Some approaches also...
Innovative wellness gadgets are the products of convergence of science and technology in this dynamic digital era. It has not been possible before to provide just-in-time intervention to avoid unhealthy behavior. The change in behavior requires the understanding of the behavior theories and then practical implementation of the stages. Transtheoretical model supports to identify the stage of human...
Software specifications are useful for software validation, model checking, runtime verification, debugging, monitoring, etc. In context of safety-critical real-time systems, temporal properties play an important role. However, temporal properties are rarely present due to the complexity and evolutionary nature of software systems. We propose Timed Regular Expression Mining (TREM) a hosted tool for...
Safety-critical systems in domains such as aviation, railway, and automotive are often subject to a formal process of safety certification. The goal of this process is to ensure that these systems will operate safely without posing risks to the user, the public, or the environment [1]. It is typically expensive and time consuming for companies to certify their software. Therefore, any attempt to automate...
Learning Analytics focuses on improving learning process by studying and analyzing data produced during the process itself. It covers the collection, measurement, analysis, reporting and knowledge discovering on data about students, teachers and institutions. Learning Analytics has been widely developed in Anglo Saxon countries. USA, United Kingdom, Canada and Australia are amongst the main contributors...
Real-time applications are usually well-defined and operate based on a particular system model. However, in practical scenarios, the applications can perform differently because of the uncertainties in the environment. The system can use video streams to capture sequential real-time information of its surroundings. The system also needs to identify various constraints that have significant effects...
PLS is widely used in the quality control process system, but it has poor capability in some strong local nonlinear system for fault diagnosis. To enhance the monitoring ability of such type fault, a novel statistical model based on global plus local projection to latent structures (GPLPLS) is proposed. Firstly, the characteristics and nature of quality-related global and local partial least squares...
For strengthening the effective supervision of key vehicles' illegal driving which are not in accordance with the prescribed routes, and to prevent and reduce the road accidents, this paper puts forward a method of the active discrimination of key vehicle's not-according-to-the-prescribed-routes based on the gate system's passing through information. Through analyzing key vehicles' passing records...
Today's high-performance computing (HPC) systems are heavily instrumented, generating logs containing information about abnormal events, such as critical conditions, faults, errors and failures, system resource utilization, and about the resource usage of user applications. These logs, once fully analyzed and correlated, can produce detailed information about the system health, root causes of failures,...
Realizing the automated and online detection of crowd anomalies from surveillance CCTVs is a research-intensive and application-demanding task. This research proposes a novel technique for detecting crowd abnormalities through analyzing the spatial and temporal features of the input video signals. This integrated solution defines an image descriptor that reflects the global motion information over...
Our daily life is characterized by countless human relationships. Every day we go to work, do shopping, partake in leisure time. At the base, there are some choices that lead us to make a series of activities; In which we interact and relate with many people. What influences the choices we make? Answering this question can be a very daunting task. However, it can help us to identify the main key elements...
Microservices have become a popular pattern for deploying scale-out application logic and are used at companies like Netflix, IBM, and Google. An advantage of using microservices is their loose coupling, which leads to agile and rapid evolution, and continuous re-deployment. However, developers are tasked with managing this evolution and largely do so manually by continuously collecting and evaluating...
The safety and stability of mine operation is of great importance to the mining production and environmental protection. Effective safety management and risk control of mine is a critical part in prevention and control of major industrial accidents in mine enterprise. Techniques of hazard identification and risk analysis for mine are proposed. System design principles and main procedure of potential...
In an industrial facility, a large amount of data on the operation of the facility is collected. The data includes control variables used in monitoring and regulation, alarm variables displayed to notify operators of abnormalities, and operators' actions taken to correct abnormalities as well as to operate the facility. As the data is historized and is readily accessible, it can provide a wealth of...
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