Search results for "itens"
showing 10 items of 3172 documents
Flernivåstaten og krisehåndtering: En kommentar
2022
Artikkelen diskuterer muligheter og utfordringer knyttet til koordinering på tvers av styringsnivåer. Utfordringen er minst tredelt: Dels knyttet til balansen mellom kontinuitet og endring, nærmere bestemt evnen offentlig forvaltning har til å balansere en stabil kjerne samtidig som den justerer, oppdaterer og reformerer; dels balansen mellom effektivitet og legitimitet, nærmere bestemt evnen til kortsiktig problemløsningen i møtet med kriser og langsiktige utfordringer knyttet til legitime løsninger generelt og parlamentarisk forankring konkret; dels dilemmaet mellom politisk-administrativ orden i turbulente tider, nærmere bestemt hvordan offentlige institusjoner håndterer kriser og vanske…
Sub-nasjonale styringsnivåer i et fler-nivå-administrativt system
2022
Denne artikkelen undersøker hvorvidt respondenter i norske fylkesadministrasjoner oppfatter at sentrale beslutninger influeres av eksterne aktører – gjennom vertikale relasjoner til sentraladministrative instanser og EU/EØS-institusjoner, samt horisontale relasjoner til andre fylkesadministrasjoner – og hvordan variasjonen i slike relasjoner kan forklares. Artikkelen bygger på data fra en ny spørreundersøkelse i norske fylkesadministrasjoner (N = 893), og viser hvordan fylkesadministrasjonene under visse betingelser kan opptre med to eller flere «hatter», det vil si at beslutningene som treffes influeres av flere eksterne aktører samtidig. Hovedtyngden av respondentene oppgir nasjonale sent…
Citizen Coherence and Cultivated Cleanliness: Using Technology-Induced Social Norms to Strengthen Sustainable Household Bonds
2022
Social identity and social capital are critical to human well-being and sustainable development. However, existing research on sustainable behavior typically treats these factors merely as taken-for-granted preconditions to environmental protection. This paper argues that they can also be direct outcomes of environment-oriented efforts, thus becoming drivers of sustainable societies. As part of a larger research project on household recycling and waste behavior, the authors assess and compare perceived social identity and social capital of residents in a multi-family residential dwelling in Sweden before (N = 66) and after (N = 18) exposure to a social norm-based intervention delivered thro…
Frequency-based ensemble forecasting model for time series forecasting
2022
AbstractThe M4 forecasting competition challenged the participants to forecast 100,000 time series with different frequencies: hourly, daily, weekly, monthly, quarterly, and yearly. These series come mainly from the economic, finance, demographics, and industrial areas. This paper describes the model used in the competition, which is a combination of statistical methods, namely auto-regressive integrated moving-average, exponential smoothing (ETS), bagged ETS, temporal hierarchical forecasting method, Box-Cox transformation, ARMA errors, Trend and Seasonal components (BATS), and Trigonometric seasonality BATS (TBATS). Forty-nine submissions were evaluated by the organizers and compared with…
Enhancing Attention’s Explanation Using Interpretable Tsetlin Machine
2022
Explainability is one of the key factors in Natural Language Processing (NLP) specially for legal documents, medical diagnosis, and clinical text. Attention mechanism has been a popular choice for such explainability recently by estimating the relative importance of input units. Recent research has revealed, however, that such processes tend to misidentify irrelevant input units when explaining them. This is due to the fact that language representation layers are initialized by pre-trained word embedding that is not context-dependent. Such a lack of context-dependent knowledge in the initial layer makes it difficult for the model to concentrate on the important aspects of input. Usually, th…
What is it about humanity that we can't give away to intelligent machines? A European perspective
2021
Abstract One of the most significant recent technological developments concerns the development and implementation of ‘intelligent machines’ that draw on recent advances in artificial intelligence (AI) and robotics. However, there are growing tensions between human freedoms and machine controls. This article reports the findings of a workshop that investigated the application of the principles of human freedom throughout intelligent machine development and use. Forty IS researchers from ten different countries discussed four contemporary AI and humanity issues and the most relevant IS domain challenges. This article summarizes their experiences and opinions regarding four AI and humanity th…
Doppler Shift Characterization of Wideband Mobile Radio Channels
2019
The prevailing approach for characterizing the Doppler shift (DS) of mobile radio channels assumes the transmission of an unmodulated carrier. This consideration is valid for the analysis of narrowband channels, but its pertinence is questionable in regards to the modeling of wideband channels. In this correspondence, we redefine the DS from a time-frequency analysis perspective that does not depend on the aforementioned assumption. We systematically demonstrate that the DS can be characterized by the instantaneous frequency of the channel transfer function. This generic definition makes evident a fundamental aspect of the DS that is seldom acknowledged, namely, the DS is a frequency-varyin…
Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment
2022
The present era is facing the industrial revolution. Machine-to-Machine (M2M) communication paradigm is becoming prevalent. Resultantly, the computational capabilities are being embedded in everyday objects called things. When connected to the internet, these things create an Internet of Things (IoT). However, the things are resource-constrained devices that have limited computational power. The connectivity of the things with the internet raises the challenges of the security. The user sensitive information processed by the things is also susceptible to the trusability issues. Therefore, the proliferation of cybersecurity risks and malware threat increases the need for enhanced security in…
Seeking Information on Social Commerce: An Examination of the Impact of User- and Marketer-generated Content Through an Eye-tracking Study
2021
Following the growing popularity of social commerce sites, there is an increased interest in understanding how consumers decide what products to purchase based on the available information. Consumers nowadays are confronted with the task of assessing marketer-generated (MGC) as well as user-generated information (UGC) in a range of different forms to make informed purchase-related decisions. This study examines the information types and forms that influence consumers in their decision-making process on social commerce. Building on uses and gratifications and dual-process theories, we distinguish between marketer and user generated content, and differentiate formats into informational and no…
Evaluation of Deep Learning and Conventional Approaches for Image Recaptured Detection in Multimedia Forensics
2022
Image recaptured from a high-resolution LED screen or a good quality printer is difficult to distinguish from its original counterpart. The forensic community paid less attention to this type of forgery than to other image alterations such as splicing, copy-move, removal, or image retouching. It is significant to develop secure and automatic techniques to distinguish real and recaptured images without prior knowledge. Image manipulation traces can be hidden using recaptured images. For this reason, being able to detect recapture images becomes a hot research topic for a forensic analyst. The attacker can recapture the manipulated images to fool image forensic system. As far as we know, ther…