The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We propose a homing constrained bi-objective optimization variant of budget-limited informative path planning for monitoring a spatio-temporal environment. The objective function consists of weighted combination of two components: model performance which must be maximized and travel distance which must be bounded by the maximum operational range. Besides this, we have additional constraints that guarantee...
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...
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...
Identifying anomalous events in the network is one of the vital functions in enterprises, ISPs, and datacenters to protect the internal resources. With its importance, there has been a substantial body of work for network anomaly detection using supervised and unsupervised machine learning techniques with their own strengths and weaknesses. In this work, we take advantage of the both worlds of unsupervised...
The objective of this paper is to extend the applicability of the GLR method to a wide range of practical systems. Most real systems are nonlinear, multivariate, and are best represented by input-output type of models. Kernel partial least squares (KPLS) models have been widely used to represent such systems. Therefore, in this paper, kernel PLS-based GLR method will be utilized in practice to improve...
Advanced Monitoring Systems are fundamental in advanced manufacturing for control, quality and maintenance purposes. Nowadays, with the increasing availability of data in production and equipment, the need for high-dimensional Anomaly Detection techniques is thriving; anomalies are data patterns that have different data characteristics from normal production instances and that may be associated with...
Unattended falls can lead to serious medical issues among the elderly, especially when motor functions may become inactive. Motion sensors like accelerometer can aid in automatic characterization and classification of human motion. Un-Classified motion can be accounted for anomaly that when reported to the online knowledge builder can correct the existing model or estimate additional classes into...
In this work, we propose to use anthropometrics and physiological data to estimate cardiorespiratory fitness (CRF) in free-living and analyze the relation between estimated CRF and running performance. In particular, we use the ratio between running speed and heart rate (HR) as predictor for CRF estimation in free-living. The ratio is representative of fitness as lower HR at a given speed is expected...
Affected by the special geographical environment and climate factors, some cities waterlogging occurred frequently, causing serious economic losses and social impacts. Because of certain topographic factors, once the heavy rain coming suddenly in the city, many of the major streets will be flooded by the water, how to better prevent the occurrence of waterlogging, or predict the depth of waterlogging...
This paper addresses the problem of damage detection technique of structural health monitoring (SHM). Kernel principal components analysis (KPCA)-based generalized likelihood ratio (GLR) technique is developed to enhance the damage detection of SHM processes. The data are collected from the complex three degree of freedom spring-mass-dashpot system in order to calculate the KPCA model. The developed...
In recent years, air quality has become a severe environmental problem in China. Since bad air quality brought significant influences on traffic and people's daily life, how to predict the future air quality precisely and subtly, has been an urgent and important problem. In this paper, a Spatio-Temporal Extreme Learning Machine (STELM) method is proposed for air quality prediction. STELM considers...
Effective machine health monitoring systems are critical to modern manufacturing systems and industries. Among various machine health monitoring approaches, data-driven methods are gaining in popularity due to the development of advanced sensing and data analytic techniques. However, sensory data that is a kind of sequential data can not serve as direct meaningful representations for machine conditions...
The maturity of hardware virtualization has motivated Communication Service Providers (CSPs) to apply thisparadigm to network services. Virtual Network Functions (VNFs)result from this trend and raise new dependability challengesrelated to network softwarisation that are still not thoroughlyexplored. This paper describes a new approach to detect ServiceLevel Agreements (SLAs) violations and preliminary...
In Vietnam, environmental data collected from ground-based stations may contain abnormal or missing values due to several problems during operation, i.e. sensor's problems. This paper proposes a standardization procedure which try to detect unusual values and fill in missing data. Experiments were conducted for PM10 data. Two datasets measured in 01/2011 and 01/2012 at Nguyen Van Cu station in Hanoi,...
The pay-as-you-go pricing model and the illusion of unlimited resources in the Cloud initiate the idea to provision services elastically. Elastic provisioning of services allocates/de-allocates resources dynamically in response to the changes of the workload. It minimizes the service provisioning cost while maintaining the desired service level objectives (SLOs). Model-predictive control is often...
Activity monitoring is the task of continual observation, which in many cases, needs to verify a window of data that is captured from a data stream. For some types of categorical data, such as zip codes and phone numbers, hundreds of unique attribute values exist and the frequency vector of a window will be high-dimensional and sparse. This vector is then hard to be compared to the frequency vector...
Intrusion Detection System (IDS) are playing a very substantial role in protecting computer networks. Still conventional IDS finds itself limited when it comes to distribute intrusion detection. An intruder may conceal its origin of attack by moving from node to node in a network. In order to conquer these limitations, alerts are to be exchanged and correlated in distributed intrusion detection system...
Selection and use of pattern recognition algorithms is application dependent. In this work, we explored the use of several ensembles of weak classifiers to classify signals captured from a wearable sensor system to detect food intake based on chewing. Three sensor signals (Piezoelectric sensor, accelerometer, and hand to mouth gesture) were collected from 12 subjects in free-living conditions for...
Ankle edema an important symptom for monitoring patients with chronic systematic diseases. It is an important indicator of onset or exacerbation of a variety of diseases that disturb cardiovascular, renal, or hepatic system such as heart, liver, and kidney failure, diabetes, etc. The current approaches toward edema assessment are conducted during clinical visits. In-clinic assessments, in addition...
The user generated data on social online platforms is a very resourceful medium for building applications. It provide an easy, cheap and efficient way to address the opinions expressed by millions of users. There are various commercial applications developed that analyze the products based on user reviews. However, no considerable research work is carried out at building applications to consume this...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.