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Complex systems are prevalent in many fields such as finance, security and industry. A fundamental problem in system management is to perform diagnosis in case of system failure such that the causal anomalies, i.e., root causes, can be identified for system debugging and repair. Recently, invariant network has proven a powerful tool in characterizing complex system behaviors. In an invariant network,...
Virtual Reality (VR) is increasingly being used as a therapeutic solution for different phobias. In this paper we describe a system that applies VR in Exposure Therapy to treat Acrophobia. Users are exposed to two Virtual Environments, which have features to reproduce different levels of anxiety. In these environments, users can navigate and interact with avatars and objects, while being monitored...
Endothelial dysfunction is a well-known indication of the early stages of cardio vascular diseases. Non-invasive methods have grown with popularity in determining the endothelial health as it can be safely applied on people to obtain repeated measurements of vascular function overtime. This study presents a combined non-invasive endothelial function assessment method which acquires a Peripheral Arterial...
The evaluation of intelligent transformation level of primary equipment in substation is an important part of the second batch of intelligent substation pilot project. In this paper, pilot projects for the transformation of smart substations in several regional power grids are extensively investigated, of which the following work is done on the basis: Firstly, the evaluation model of intelligent transformation...
According to construction scheme to intelligentize the substation primary equipment, a new evaluation method to intelligent transformation of substation primary equipment was presented in this paper. The improvement status of primary equipment in different voltage level substations was widely investigated in East China and Central China. According to the status, a multi-objective optimization evaluation...
According to the noise and overlapping characteristics of agricultural irrigation water quality monitoring data for the comprehensive evaluation may bring about the boundary fuzzy problem. This paper proposes an improved Genetic Algorithm (GA) to avoid premature convergence, the global optimal solution of the function of the Projection Pursuit (PP) function is used as the comprehensive evaluation...
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...
Cardiovascular diseases are the leading cause of mortality worldwide and impose a tremendous burden on socio-economic costs. At present, prevention strategies based on personalized lifestyle interventions are considered the best way to contain the epidemics of these diseases. In this view, availability of innovative technological systems able to assist people in self-monitoring and self-coaching is...
Aimed at abnormal score from evaluation experts, real data from Shanghai double-blind sampling system of graduate dissertation and thesis between 2013 and 2014 have been in depth analysis and mining. Some basic judgment rules of abnormal score are summed up, and monitoring model for abnormal score is proposed. By the least squares method and the multiple regression models, the equation of monitoring...
The evaluation of network system effectiveness is the key method to judge whether the system network architecture is stable and effective. This paper adopts the entropy method and the experience of decision makers to establish the evaluation system of the network efficiency of the intelligent distribution network monitoring service system, basing on the evaluation index of network effectiveness obtained...
The health degree of large distributed information system reflected from the business perspective is the core index to measure the stability of information system. It has significant meaning for the fault diagnosis of any information system. To solve the above problems, a knowledge representation method based on weighted fault diagnosis is proposed in this paper. Based on the knowledge representation...
Order to realize the accurate assessment of AC contactor state, point at the uncertainty of the state parameters of AC contactor and the uncertainty of which state parameters are chosen as the evaluation factors, the grey fuzzy theory is applied to state evaluation of AC contactor. Some representative information is selected as the state variable for evaluation. The weight set of each assessment factor...
In this paper, we consider the output consensus problem of linear multi-agent systems subject to different agent dynamics by utilizing event-triggered control strategies. Both the dynamics and output of the agents are affected by non-identical disturbances, which are not measurable. The proposed event-triggered control scheme has a desirable feature that each individual agent independently decides...
Software Defined Networking (SDN) enables a centralised entity - the controller - to monitor the network’s status by collecting traffic statistics such as packets, bytes, etc. Each statistic is associated with a forwarding table entry (FTE) in a switch whose structure and format is specified by the OpenFlow standard (de-facto SDN standard). For a flow with a FTE, its statistic is easily...
Mechanical characteristics, including the displacement curves of the movable contacts and coil current curves are the most common routine monitoring objects of high voltage circuit breakers to evaluate the machines' condition. Generally, a high-performance mechanical characteristic tester has the ability to offer dozens of parameters consisting of stroke, speed, magnitude of current and so on. Besides,...
For modern industrial processes, timely detection of incipient faults is of vital importance so as to ensure safe and optimal process operation. Though recently statistical process monitoring (SPM) has been extensively studied and widely applied in practice, conventional multivariate statistics are usually not sensitive to incipient faults. In this paper, a new multivariate statistical index called...
Concepts maps has been used as a learning assessment tool. Some inconsistencies in concept maps may turn hard its formal representation and computational interpretation. The concepts repetition is one of them, sometimes occurring in the form of synonym. Therefore, the task of recognizing the occurrence of synonymy between concepts present in a concept map is an important step to the formalism of the...
Automated program repair (APR) is a promising approach to automatically fixing software bugs. Most APR techniques use tests to drive the repair process; this makes them readily applicable to realistic code bases, but also brings the risk of generating spurious repairs that overfit the available tests. Some techniques addressed the overfitting problem by targeting code using contracts (such as pre-...
Passive acoustic recording has great potential for monitoring soniferous endangered and cryptic species. However, this approach requires analysis of long duration environmental acoustic recordings that span months or years. There is a variety of approaches to analysing acoustic data. However, it is unclear which approaches are best suited for monitoring of endangered species in the wild. Specifically,...
Efficient management of water resources is a growing global concern. In Brazil, most regions deal with problems related to high rates of water loss in distribution systems. This situation involves a complex environment with multiple decision-makers, several alternatives, and subjective variables. Therefore, its evaluations require interactivity, clarity, learning, and that plausible aspects be discerned...
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