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Software-Defined Network (SDN) is an emerging network paradigm which enables flexible network management by separating control plane from data plane. Since SDN adopts a centralized management scheme, with large scale SDN network, it brings intensive overhead to control plane. One way of limiting this overhead is to either distribute the overhead to multiple controllers, or offload the overhead to...
In many practical situations, we monitor a system by continuously measuring the corresponding quantities, to make sure that any abnormal deviation is detected as early as possible. Often, we do not have readily available algorithms to detect abnormality, so we need to use machine learning techniques. For these techniques to be efficient, we first need to compress the data. One of the most successful...
Water pollution source detection is the precondition of water pollution source localization. In this paper, the source detection problems of the network and of the node in sensor networks are proposed. To solve the detection problems of both the static and dynamic pollution source, the hypothesis testing method is applied. In the method, the related binary hypotheses, test statistics and the specific...
Wireless Mesh Network (WMN) is developed as an emerging key solution for wireless broadband connectivity through a flexible and cost-effective way. However, due to the lack of a physical line of defense, the security in such a network is a big concern. Intrusion Detection System (IDS) is considered as one of the most effective security mechanisms in WMN. Traditionally, IDS is operated on the monitor...
Dual-pol HHVV images acquired by TerraSAR-X/TanDEM-X during 4 years, with 3 different incidence angles, over rice fields in Spain are analysed and employed to retrieve the phe-nological state of rice crops in a scale of 3 to 5 possible intervals. A decision tree approach is employed for the retrieval algorithm. Results show that the joint processing of all angles provides a good performance, only...
This paper is focused on an operational case study related to the adoption of a Multi-Temporal Coherence (MTC) color composite approach to support monitoring activities of volcanic eruption events. A specific case study related to the volcanic eruption in Fogo Island (Cape Verde), which started on late November 2014 will be presented and discussed. A MTC analysis based on data acquired by the COSMO-SkyMed...
The results of a two-year precision agriculture project have clearly demonstrated that TanDEM-X can successfully classify crops morphology through cultivation period. It has been found that TanDEM-X mission is capable of tracking the crop height, and the accuracy of the height estimation depends on the crop morphology, which causes a diversity between canopy top and acquisition phase center. In this...
Fall is a leading cause of accidental injury deaths and a key cause of significant health problems, especially for elderly people who live alone. To assist those people for seeking help when falling and keeping records of key daily movements, we propose a simple yet effective system to monitor the daily activities and in-house locations using smartphone. We also test the system for the optimum arrangement...
Falls are significant public health problem. In the last few years, several researches based on computer vision system have been developed to detect a person who has fallen to the ground. This paper presents a novel fall detection technique namely the directional bounding box (DBB) to detect a falls event especially a situation of fall direction paralleling the line of camera's sight. The DBB is constructed...
In order to monitor the correct operation and evaluate the energetic performance of a photovoltaic (PV) power plant, as well as to be able to compare with other PV installations, operational monitoring with appropriate measurement accuracy is necessary. Mainly due to economic reasons, in the majority of cases PV electrical parameters are measured directly by inverters. Measurements acquired with commercial...
In smart grids, the deviation of frequency and phase angle serves as an important indicator of abnormal events, the detection of which is critical to maintain reliable and stable operations of the power grid. However, the high cost and low accessibility of current power grid monitoring systems restrict their large-scale deployment over highly distributed microgrids. In this paper, we present a practical...
In this study, we compared several classifiers for the supervised distinction between normal elderly and Alzheimer's disease individuals, based on resting state electroencephalographic markers, age, gender and education. Three main preliminary procedures served to perform features dimensionality reduction were used and discussed: a Support Vector Machines Recursive Features Elimination, a Principal...
In recent years, water quality prediction has attracted many attentions of governments and researchers. The safety of water quality seriously affects the human health, fishery economy and agricultural activities. If an early prediction to the water quality with an acceptable accuracy can be achieved, the negative impacts will be minimized or even be avoided. Many researchers have applied artificial...
As information technology improves, the Internet is involved in every area in our daily life. When the mobile devices and cloud computing technology start to play important parts of our life, they have become more susceptible to attacks. In recent years, phishing and malicious websites have increasingly become serious problems in the field of network security. Attackers use many approaches to implant...
Modern SoCs are characterized by increasing power density and consequently increasing temperature, that directly impacts performances, reliability and cost of a device through its packaging. Thermal issues need to be predicted and mitigated as early as possible in the design flow, when the optimization opportunities are the highest. In this paper, we present an efficient framework for the design of...
An efficient monitoring scheme based on transmission-reflection analysis is proposed for long-reach passive optical networks. Both experimental and simulation results have demonstrated that the proposed scheme provides better localization functionality than the conventional methods.
We present a miniaturized heterodyne optical channel monitor with 300 MHz frequency resolution, 0.5 GHz absolute frequency accuracy and tone detection ability. The compact optical package size of 19×27×7mm makes it suitable for integration into next-generation ROADMs.
This paper presents a wireless, low power and low cost wearable for real time monitoring and analysis of bowling action in the game of cricket. Utilizing flex sensor as an enabling component, the device performs continuous measurement of arm angle within one degree accuracy. The wearable also utilizes a force sensor enabling it to detect the time instant at which the ball is released. The device wirelessly...
The realtime identification of missing items, e.g., valuables or confidential documents in shops and warehouses, is one of the most important system. Although many RFID-based schemes that quickly identify missing tag-attached items are proposed, most of the schemes overlooks the possibility of the internal crime. If a person controls an untrusted reader, he/she can freely forge responses from tags...
Data acquisition systems must be capable to process all the data produced by the source to ensure the highest level of accuracy, especially when it deals with hard real-time system monitoring. However, the production of data is faster than the process to acquire and to process such a data. Using concurrency approach is an alternative to obtain the required level of performance and data processing...
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