Search results for "intelligence"
showing 10 items of 6959 documents
Thermographic quantitative variables for diabetic foot assessment: preliminary results
2018
The aim of this study was to define aspects of a protocol for a diabetic population by obtaining and evaluating thermographic images following thermal stress (cooling of the sole of the foot with c...
Fuzzy-based Kernel Regression Approaches for Free Form Deformation and Elastic Registration of Medical Images
2009
In modern medicine, a largely diffused method for gathering knowledge about organs and tissues is obtained by means of merging information from several datasets. Such data are provided from multimodal or sequential acquisitions. As a consequence, a pre-processing step that is called “image registration” is required to achieve data integration. Image registration aims to obtain the best possible spatial correspondence between misaligned datasets. This procedure is also useful to correct distortions induced by magnetic interferences with the acquisition equipment signals or the ones due patient’s involuntary movements such as heartbeat or breathing. The problem can be regarded as finding the …
Instrumental Odour Monitoring System Classification Performance Optimization by Analysis of Different Pattern-Recognition and Feature Extraction Tech…
2020
Instrumental odour monitoring systems (IOMS) are intelligent electronic sensing tools for which the primary application is the generation of odour metrics that are indicators of odour as perceived by human observers. The quality of the odour sensor signal, the mathematical treatment of the acquired data, and the validation of the correlation of the odour metric are key topics to control in order to ensure a robust and reliable measurement. The research presents and discusses the use of different pattern recognition and feature extraction techniques in the elaboration and effectiveness of the odour classification monitoring model (OCMM). The effect of the rise, intermediate, and peak period …
Drones in cyber security environment
2019
Aerial unmanned vehicles (AUV) are currently used for a wide range of operations such as border surveillance, surveillance, reconnaissance, transport, aerial photography, traffic control, earth observation, communications, broadcasting and armed attacks. AUVs are presumed to be reliable, automated and autonomous machines. AUVs are extremely suitable for long missions that strain flight crews or put them to harm's way. Two advantages can be gained by eliminating the flight crew: 1) performance improves (range, endurance, increased payload and maneuverability, smaller physical size and lower observability) and; 2) the ability to take higher risks. UAV/RPAS/drone cyber security has largely foc…
Apkalpojošās sfēras darbinieku emocionālā darba stratēģiju izvēles saistības ar emocionālo intelektu un apmierinātību ar darbu.
2018
Bakalaura darba mērķis ir apskatīt saistības starp emocionālā darba stratēģiju izvēli, emocionālo intelektu un apmierinātību ar darbu apkalpojošās sfēras darbinieku vidū. Pētījumā piedalījās apkalpojošās sfēras darbinieki. Izlases apjoms ir 70 cilvēki, no kuriem 45 ir sievietes, bet 25 vīrieši. Pētījuma dalībnieki ir vecumā no 18 līdz 46 gadiem. Lai sasniegtu pētījumā izvirzīto mērķi, tika izmantotas trīs aptaujas. Emocionālā darba stratēģiju izvēles izpētīšanai tika pielietota Emocionālā darba skala ( Emotional Labour scale), kura sastāv no 14 apgalvojumiem par paviršo tēlošanu, dziļo tēlošanu un īsto emociju izpaušanu ( Diefendorff, Croyle & Gosserand, 2005, kā minēts Kulikova, 2008). Emo…
Theoretical review of emotional intelligence: models and measuring instruments
2013
Abstract This theoretical review of emotional intelligence (EI) starts from the earliest conceptualizations made by Galton, Binet, Stemberg Thurstone and Thordinke Gardner, who, during their historical period, were successful in laying the basis for the birth of emotional intelligence as a theoretical construction which was introduced for the first time, in scientific literature, in 90’s. Since then, different EI models have been developed and investigative contributions have been increased. In this article, the most representative EI models will be described with details, such as: 1) Mental ability model (Ability Based) developed by Mayer and Salovey 2) Model of emotional competences by Go…
Emotional Business Intelligence : Enabling experience-centric business with the FeelingsExplorer
2014
The domain of Emotional Business Intelligence (EBI) aims to support business-relevant emotional and emotionaware decisions in addition to rational decision making. EBI originates from three root domains: Emotional Business, Emotional Intelligence and Business Intelligence (BI). In this paper we emphasize emotional empowerment of the traditional BI function; outline its main characteristics as a business working model of an emotionally smart, continuously learning organization; and introduce a first candidate of the EBI Toolkit, the FeelingsExplorer (FE). FE is a mash-up browser based on 4i (“ForEye”) technology, capable of visualizing objects in an emotional semantic space and thereby suppo…
Standardization of islet isolation outcome- A new automatic system to determine pancreatic islet viability
2011
Pancreatic islet transplantation is emerging as a therapeutic approach for patients affected by diabetes. This approach consists of a minimally invasive procedure replacing insulin-producing cells (pancreatic islets). The technique has been proven successful, but limitations have been identified. One of the major challenges of the procedure is the counting of the isolated pancreatic islets, which is currently jeopardized by subjectivity and inaccuracy. Determination of the accurate islet number is a crucial factor in determining the correlation between the isolation product and clinical outcome. In the proposed study, we have developed software capable of objectively evaluating islet number…
Generalization Capacity Analysis of Non- Intrusive Load Monitoring using Deep Learning
2020
Appliance Load Monitoring is a technique used to monitor devices existing in homes, industry or naval vessels. Acquisition of device-level data can provide great benefits in many areas such as energy management, demand response, and load forecasting. However, the monitoring process is often provided with a costly installation, as it requires a large number of sensors and a data center. Non-Intrusive Load Monitoring (NILM) is an alternative and cost-efficient load monitoring solution. Simply put, NILM is the process of obtaining device-level data by analyzing the aggregated data read from the main meter that measures the electricity consumption of the whole house. Before NILM analysis is per…
Classification of Solutions to the Minimum Energy Problem in One Dimensional Sensor Networks
2016
We classify of the minimum energy problem in one dimensional wireless sensor networks for the data transmission cost matrix which is a power function of the distance between transmitter and receiver with any real exponent. We show, how these solutions can be utilized to solve the minimum energy problem for the data transmission cost matrix which is a linear combination of two power functions. We define the minimum energy problem in terms of the sensors signal power, transmission time and capacities of transmission channels. We prove, that for the point-to-point data transmission method utilized by the sensors in the physical layer, when the transmitter adjust the power of its radio signal t…