Search results for "working"
showing 10 items of 2747 documents
Towards digital cognitive clones for the decision-makers: adversarial training experiments
2021
Abstract There can be many reasons for anyone to make a digital copy (clone) of own decision-making behavior. This enables virtual presence of a professional decision-maker simultaneously in many places and processes of Industry 4.0. Such clone can be used as one’s responsible representative when the human is not available. Pi-Mind (“Patented Intelligence”) is a technology, which enables “cloning” cognitive skills of humans using adversarial machine learning. In this paper, we present a cyber-physical environment as an adversarial learning ecosystem for cloning image classification skills. The physical component of the environment is provided by the logistic laboratory with camera-surveilla…
Taxonomy of generative adversarial networks for digital immunity of Industry 4.0 systems
2021
Abstract Industry 4.0 systems are extensively using artificial intelligence (AI) to enable smartness, automation and flexibility within variety of processes. Due to the importance of the systems, they are potential targets for attackers trying to take control over the critical processes. Attackers use various vulnerabilities of such systems including specific vulnerabilities of AI components. It is important to make sure that inappropriate adversarial content will not break the security walls and will not harm the decision logic of critical systems. We believe that the corresponding security toolset must be organized as a trainable self-protection mechanism similar to immunity. We found cer…
The Effect of Damage Functions on Urban Flood Damage Appraisal
2014
Flooding damage appraisal can been obtained by interpolating real damage data caused by historical flooding events or accounting the effects of a flood in terms of the depreciation of assets. Most often, the expected damage is evaluated by means of damage functions describing the relationship occurring between the damage and hydraulic characteristics of flood. The present paper aims to evaluate the uncertainty linked to the choice of the depth-damage function adopted in the flood damage analysis. Several possible depth-damage function formulations were selected in literature and applied to historical flooding events monitored in the "Centro Storico" catchment in Palermo (Italy). (C) 2013 Th…
Dance movement therapy for depressed clients : Profiles of the level and changes in depression
2021
This research identified participant profiles in level and changes in depression among working age (18–64 years old) clients (N = 137) diagnosed with depression, who participated in a 20-session dance movement therapy (DMT) intervention. Using Latent Profile Analysis Mild, sharply reducing depression (9%), Mild, reducing depression (58%) and Severe, reducing depression (33%) profiles were established, using Beck Depression Inventory scores gathered at pre-intervention, post-intervention, and follow-up points. At the pre-intervention point, being in full-time work was related to the Mild, sharply reducing depression profile. Being on a disability pension, having a history of one's own or a c…
Depresijas simptomu saistība ar darba atmiņu
2021
Pētījuma mērķis bija noskaidrot kādas saistības pastāv starp depresijas simptomiem un darba atmiņu. Šī darba teorētiskajā daļā tika apkopota informācija par depresijas saistībām ar darba atmiņu. Pētījuma izlase sastāv no vispārējās populācijas (N=171). Šī pētījuma ietvaros tika ievākti demogrāfiskie dati, kā arī tika izmantota jaunizveidotā Depresijas Simptomu aptauja (Vanags, 2020), kura sastāv no 65 dažādiem apgalvojumiem un ietver sevī plašu klāstu depresijas simptomu, kā arī tika izmantots Ciparu Atmiņas tests (Vanags & Ekmanis, 2018), kura mērījumi attiecināmi uz dažādiem darba atmiņas aspektiem kā uzmanības efektivitāti, darba atmiņas kapacitāti, informācijas atjaunināšana un pārslēgš…
Darba un ģimenes dzīves līdzsvara konstruēšana strādājošo māšu stāstos
2018
Maģistra darba „Darba un ģimenes dzīves līdzsvara konstruēšana strādājošo māšu stāstos” mērķis ir noskaidrot, kā strādājošā māte, kura audzina pirmsskolas vecuma bērnu savā stāstā konstruē līdzsvaru starp darba un ģimenes dzīvi. Darba pētnieciskie jautājumi ir: kā strādājošo māšu stāstos tiek skaidrotas attiecības starp darbu un ģimeni, kā strādājošās mātes stāstos konstruē savas darba un ģimenes dzīves līdzsvara iespējas un izaicinājumus un kādi darba un ģimenes dzīves līdzsvaru veidojošie nosacījumi parādās strādājošo māšu stāstos. Pētījuma teorētisko bāzi veido darba un ģimenes dzīves un to savstarpējo attiecību jēdziena teorētiskais skatījums, kā arī dažādas teorētiskās pieejas un teori…
Col : A Data Collection Protocol for Vanet
2012
International audience; In this paper, we present a protocol to collect data within a vehicular ad hoc network (VANET). In spite of the intrinsic dynamic of such network, our protocol simultaneously offers three relevant properties: (1) It allows any vehicle to collect data beyond its direct neighborhood (i.e., vehicles within direct communication range) using vehicle-to-vehicle communications only (i.e., the infrastructure is not required); (2) It tolerates possible network partitions; (3) It works on demand and stops when the data collection is achieved. To the best of our knowledge, this is the first collect protocol having these three characteristics. All that is chiefly obtained thanks…
DEFAULT MODE NETWORK AND WORKING MEMORY NETWORK DURING AN FMRI WORKING MEMORY TASK: DIFFERENCES AND CORRELATIONS WITH BEHAVIORAL PERFORMANCE
2013
INTRODUCTION Previous neuroimaging studies have shown that working memory load has marked effects on regional neural activation[1-5]. However, the mechanism through which working memory load modulates brain connectivity is still unclear. During a working memory task, two of the most involved networks are the default mode network (DMN) and the working memory network (WMN)[6-7]: the selective focus on these networks can be useful in better understanding the load effects. Spatial independent component analysis (ICA)[8] has becomes a reliable technique to investigate the networks involved during an fMRI task, as it extracts spatiotemporal patterns of neural activity maximizing spatial independe…
Temporal Denoising of Kinect Depth Data
2012
The release of the Microsoft Kinect has attracted the attention of researchers in a variety of computer science domains. Even though this device is still relatively new, its recent applications have shown some promising results in terms of replacing current conventional methods like the stereo-camera for robotics navigation, multi-camera system for motion detection and laser scanner for 3D reconstruction. While most work around the Kinect is on how to take full advantage of its capabilities, so far only a few studies have been carried out on the limitations of this device and fewer that provide solutions to enhance the precision of its measurements. In this paper, we review and analyse curr…
Time-Frequency Characteristics of In-Home Radio Channels Influenced by Activities of the Home Occupant
2019
While aging is a serious global concern, in-home healthcare monitoring solutions are limited to context-aware systems and wearable sensors, which may easily be forgotten or ignored for privacy and comfort reasons. An emerging non-wearable fall detection approach is based on processing radio waves reflected off the body, who has no active interaction with the system. This paper reports on an indoor radio channel measurement campaign at 5.9 GHz, which has been conducted to study the impact of fall incidents and some daily life activities on the temporal and spectral properties of the indoor channel under both line-of-sight (LOS) and obstructed-LOS (OLOS) propagation conditions. The time-frequ…