Search results for "Formas"
showing 10 items of 979 documents
An Efficient and Secure Energy Trading Approach with Machine Learning Technique and Consortium Blockchain
2022
In this paper, a secure energy trading mechanism based on blockchain technology is proposed. The proposed model deals with energy trading problems such as insecure energy trading and inefficient charging mechanisms for electric vehicles (EVs) in a vehicular energy network (VEN). EVs face two major problems: finding an optimal charging station and calculating the exact amount of energy required to reach the selected charging station. Moreover, in traditional trading approaches, centralized parties are involved in energy trading, which leads to various issues such as increased computational cost, increased computational delay, data tempering and a single point of failure. Furthermore, EVs fac…
Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Chal…
2022
A revolution in network technology has been ushered in by software defined networking (SDN), which makes it possible to control the network from a central location and provides an overview of the network’s security. Despite this, SDN has a single point of failure that increases the risk of potential threats. Network intrusion detection systems (NIDS) prevent intrusions into a network and preserve the network’s integrity, availability, and confidentiality. Much work has been done on NIDS but there are still improvements needed in reducing false alarms and increasing threat detection accuracy. Recently advanced approaches such as deep learning (DL) and machine learning (ML) have been implemen…
Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation.
2022
AbstractLeading a sedentary lifestyle may cause numerous health problems. Therefore, passive lifestyle changes should be given priority to avoid severe long-term damage. Automatic health coaching system may help people manage a healthy lifestyle with continuous health state monitoring and personalized recommendation generation with machine learning (ML). This study proposes a semantic ontology model to annotate the ML-prediction outcomes and personal preferences to conceptualize personalized recommendation generation with a hybrid approach. We use a transfer learning approach to improve ML model training and its performance, and an incremental learning approach to handle daily growing data …
Self-care telephone talks as a health-promotion intervention in urban home-living persons 75+ years of age: a randomized controlled study
2014
- Published article -cc-by-nc Aim: The aim of this study was to evaluate the effects of a telephone-based self-care intervention among urban living individuals 75+ years of age by comparing self-reported perceived health, mental health, sense of coherence, self-care ability, and self-care agency before and after the intervention. Materials and methods: In a randomized controlled study, 15 persons answered a questionnaire about perceived health, mental health, sense of coherence, self-care ability, and self-care agency. In a sex- and age-matched control group (n=15), the same questions were answered. Data were collected before and after intervention. An open-ended question about experiences …
Identification of Risk Factors Associated with Obesity and Overweight-A Machine Learning Overview.
2020
Social determining factors such as the adverse influence of globalization, supermarket growth, fast unplanned urbanization, sedentary lifestyle, economy, and social position slowly develop behavioral risk factors in humans. Behavioral risk factors such as unhealthy habits, improper diet, and physical inactivity lead to physiological risks, and &ldquo
Business Intelligence i helsesektoren : erfaringer fra Diakonhjemmet Sykehus Kvalitativ studie med fokus på ledere i kliniske avdelinger
2017
Masteroppgave i helse- og sosialinformatikk HSI500 - Universitetet i Agder 2017 Background: It is challenging to manage hospitals in Norway, partly due to changing economic frameworks and new demands from the government. Various information technologies are used in the health care system and many projects fail. Adoption of new technology is difficult in a complex organization with many different professional groups. Purpose: The purpose of this study is to investigate managers experiences with using a management information system (MIS) in clinical departments at a hospital in Norway. The system is self-developed at the hospital and is used by all levels of management. The aim is to investi…
Consequences of personalized product recommendations and price promotions in online grocery shopping
2022
Shopping convenience can be turned into a competitive advantage for online grocery retailers. Consequently, we study how personalized product recommendations (recommendation agents) and price promotions (algorithmic pricing) compensate for the negative impact that consumer's perceived cognitive effort causes on loyalty. By default, the relationship from perceived cognitive efforts to attitudinal and behavioral loyalty is negative, yet these results demonstrate that personalized price promotions lessen the negative impact, while personalized product recommendations do not have such an influence. The findings contribute to a better understanding of personalized marketing activities in today's…
Employee Information Security Practices: A Framework and Research Agenda
2020
Author's accepted manuscript Employee information security practices are pivotal to prevent, detect, and respond to security incidents. This paper synthesizes insights from research on challenges related to employee information security practices and measures to address them. The challenges identified are associated to idiosyncratic aspects of communities and individuals within organizations (culture and personal characteristics) and to systemic aspects of organizations (procedural and structural arrangements). The measures identified aim to enhance systemic capabilities and to adapt security mechanisms to the idiosyncratic characteristics and are categorized as: (a) measures of training an…
Estimation of the Velocity of Multiple Moving Persons in Non-Stationary Indoor Environments from Received RF Signals
2019
This paper presents a new accurate iterative procedure to estimate the time-variant (TV) velocity, i.e., TV speed, TV vertical angle-of- motion (VAOM), and TV horizontal angle-of-motion (HAOM), of multiple moving objects/persons in three-dimensional (3D) non-stationary indoor propagation environments. The indoor space is assumed to be equipped with a distributed 3x3 multiple-input multiple-output (MIMO) system. The proposed procedure focuses on estimating the TV speed, TV VAOM, and TV HAOM by matching the spectrogram of the complex channel gain of a non- stationary indoor channel model to the spectrogram obtained from received radio frequency (RF) signals. Together with the velocity …
Design and Implementation of Density Sensor for Liquids Using Fiber Bragg Grating Sensor
2022
In this paper, an optical fiber sensor based density sensor is proposed and demonstrated experimentally. The sensor is formed by fiber Bragg grating (FBG) sensor. The proposed sensor design is very simple and versatile for density measurements of liquids. The FBG strain sensor has one end mounted to a 3D printed rigid support, and the other end connected to a 3D manufactured clamp in this sensor design. A metal ball is suspended from this clamp by a non-stretchable cord. When it is completely immersed in liquid, the liquid buoyancy force acts on it. As a result, the strain in FBG varies depending on the force applied to the ball. This results in a wavelength shift in the FBG sensor. The pro…