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One main difficulty in applying action recognition to practical applications is the need to segment beginnings and ends of actions in a continuous online monitoring process. This paper proposed a finite state machine (FSM) model for automatic action segmentation and recognition solution, based on pose streams in the form of skeleton joint data provided by Kinect. With the action recognition problem...
Sound event detection (SED) in environmental recordings is a key topic of research in machine listening, with applications in noise monitoring for smart cities, self-driving cars, surveillance, bioa-coustic monitoring, and indexing of large multimedia collections. Developing new solutions for SED often relies on the availability of strongly labeled audio recordings, where the annotation includes the...
This paper proposes an enhanced Interface to Network Security Functions (I2NSF) framework. To improve the whole packet throughput and manage resource of Network Security Functions (NSFs), the enhanced I2NSF framework monitors NSFs and distributes incoming packets to NSFs efficiently. Even if the legacy framework that provides security services using Software-Defined Networking (SDN) and Network Functions...
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 the risk management problem of key enterprises in the area, we propose a time-series based risk monitoring and assessment model which could manage and predict enterprises' dynamic risk levels. Our model takes a systematic method to monitor and evaluate enterprises' various types of risk indicators: by collecting real-time categorical data through pre-designed data-collection portal, the model...
The optimal operation system is the key instruction system in CCHP (combined cooling, heating and power) systems, while its development and test always keep a challenge due to the structure complexity and high energy coupling degree. To solve this problem, an emulation testing platform was designed for CCHP systems to test and verify the specified optimal operation system. The stability and reliability...
Our research is initially motivated by a conversation we had with a group of cyber security analysts that are responsible for monitoring enterprise security at a large corporation who were experiencing day-to-day operational burdens. As a result, this paper focuses on the design and implementation of an Intelligent Cyber Security Assistant (ICSA) architecture that would provide intelligent assistance...
Today's complex software systems consist of several components that interact in complex ways to provide services to users. In doing so, these systems go through continuous assessment of their context and configure themselves accordingly to keep user satisfaction high. A popular approach to design adaptive software systems is to perform variability modelling, for instance adopting a feature-based approach...
Because data collection in HPC systems happens on the nodes and is easily related to the job running on the node, tools presenting the data and subsequent analyses to the user generally present them at the job level. Our position is that this is the wrong level of abstraction and thus limits the value of the analyses, often dissuading users from using any of the offered tools. In this paper we present...
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,...
A problem in managing the ever growing computer networks nowadays is the analysis of events detected by intrusion detection systems and the classification whether an event was correctly detected or not. When a false positive is detected by the user, changes to the configuration must be made and evaluated before they can be adopted to productive use. This paper describes an approach for a visual analysis...
Health issues are rising progressively due to the ignorance of health monitoring on regular basis which can now be looked after by the fast growing communication technologies and smart devices. In this paper, a robust healthcare model is proposed for continuous monitoring of the patient even when the patient is traveling. Sensitive data is collected from the Internet of Things (IoT) sensors connected...
Process monitoring plays a vital role in order to sustain optimal operation and maintenance of the plant in process industry. As an essential stage in process monitoring, datadriven fault detection and diagnosis techniques have evolved quickly owing to the prosperity of multivariate feature extraction methods. In addition to the application of basic feature extraction methods, hybrid algorithms combining...
In this paper, anomaly symptom detection using ensemble prediction based on newly developed weighting method is presented for time series. This weighting method is characterized that weights are determined in proportion to the indices defined by the prediction errors in a certain time period in the past. Next, alarm prediction based on this prediction method is proposed. Prediction accuracy is considered...
Cache leakage reduction techniques usually compromise time predictability, which are not desirable for real-time systems. In this work, we extend the cache decay and drowsy cache techniques within the hardware-based Performance Enhancement Guaranteed Cache (PEG-C) architecture. The PEG-C can dynamically monitor the performance penalties caused by using leakage energy reduction techniques to ensure...
The paper proposes a sensorization plan for monitoring a relevant architectural case study at the University of Cagliari, in order to verify indoor thermo-hygrometric conditions and define a set of interventions which should be compatible with building preservation issue and oriented at improving its energy performance. The research aims at understanding how to organize and structure the compliance...
We estimate the moment magnitudes of microseismic events by fitting theoretical models to the amplitude spectra of the corresponding recorded signals. To this end, we combine the available information by stacking the seismic traces that contain the event and use Very Fast Simulated Annealing (VFSA) to solve the optimization problem. We test the procedure on pseudo-synthetic and real data considering...
Sometimes parents don't have resources or time to attend to their young ones as they have certain predispositions. This document demonstrates the process of construction of a web-service/module, defines the algorithm, procedure of construction of the algorithm and the analysis/results of the procedures performed. The market for this system is the working class nuclear families or single parents that...
The increasing integration of distributed energy resources (DERs) calls for new monitoring and operational planning tools to ensure stability and sustainability in distribution grids. One idea is to use existing monitoring tools in transmission grids and some primary distribution grids. However, they usually depend on the knowledge of the system model, e.g., the topology and line parameters, which...
Under random occurrence of turbulence and wave, the power generation process of Marine Current Turbine (MCT) exists multiple operating modes. The multi-mode characteristics and frequent change between modes make the fault detection difficult. To monitor multi-mode processes, a mode-correlation Principal Component Analysis (PCA) method is proposed. Firstly, the multi-mode characteristics of MCT are...
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