Information-Communication Technologies (ICTs) are currently used in various fields and there are many amazing inventions that are already present and make communication and life easier for us on a daily basis. The use of ICTs is less represented in the social work institutions. Therefore, this paper presents the implementation of ICTs through the chatbot application for the needs of social work created on the Tidio platform and within the webpage of the Public Institution “Center for Social Work Tešanj”. The application facilitates the work of social workers in collecting information from the users and eases the aid received by the users of social care in terms of faster responses to inquiries during emergencies, such as the COVID-19 pandemic, but also after. For the purpose of this research, an end-user survey was created and conducted with the aim of collecting user opinions on the acceptance and motivation for the use of chatbots in social work institutions. The results showed good acceptance and usage motivation of social work chatbot.
Information communication technologies are evolving rapidly and have huge impact on everyday life. This does not come without dangers, i.e., it is actively followed by wide range of malicious activities that impact the companies forcing them to protect their information at all costs. Cyber attacks today are usually consisting of multiple carefully planned hardly detectable steps causing severe damage to companies. This paper examines the capability of security information and event management (SIEM) system with applied partial rules in detecting the multi-step attacks. Fine tuning was focused on detecting partial attack patterns that were important and specific to environment and positive results were gained. The results show that when using the partial rule approach in SIEM for incident detection, the number of detected advanced multistage cyber attacks has increased, thereby contributing to the overall security in cyber space.
Network traffic recognition serves as a basic condition for network operators to differentiate and prioritize traffic for a number of purposes, from guaranteeing the Quality of Service (QoS), to monitoring safety, as well as monitoring and detecting anomalies. Web Real-Time Communication (WebRTC) is an open-source project that enables real-time audio, video, and text communication among browsers. Since WebRTC does not include any characteristic pattern for semantically based traffic recognition, this paper proposes models for recognizing traffic generated during WebRTC audio and video communication based on statistical characteristics and usage of machine learning in Weka tool. Five classification algorithms have been used for model development, such as Naive Bayes, J48, Random Forest, REP tree, and Bayes Net. The results show that J48 and BayesNet have the best performances in this experimental case of WebRTC traffic recognition. Future work will be focused on comparison of a wide range of machine learning algorithms using a large enough dataset to improve the significance of the results.
Web real-time communication (WebRTC) is an open framework that enables real-time voice, video and text communication among browsers. The WebRTC allows collection of large amounts of statistics through browser-embedded tools which can be used to evaluate quality of experience (QoE). This paper focuses on webrtc-internals as Google Chrome browser-embedded tool for collecting WebRTC statistics. The objective is to consider whether webrtc-internals statistics can be used for QoE prediction of WebRTC video calls. A number of experiments were performed and completed with end-user questionnaire in order to collect webrtc-internals statistics and mean opinion scores (MOS). Multiple linear regression (MLR) was used to quantify the relationship between selected webrtc-internals statistics and QoE in order to propose the QoE prediction model for WebRTC video call.
This paper presents the health chatbot application created on the Chatfuel platform. This application allows people to interact with the health chatbot in the same way as they do with other people. The health chatbot identifies their symptoms through a series of queries and guides them to decide whether or not to go to doctor. Such application can be of great benefit to people who are not sure whether their symptoms are transients or require a response to a doctor for detailed tests. It also offers advice to users on minor illnesses, and in that way, encourages people to take appropriate measures to stay healthy, which is a great example of promoting a healthy life. For the purpose of this research, an end-user survey was created and conducted with aim to collect the users’ opinion regarding the acceptance and usage motivation of health chatbot. The results showed good acceptance and usage motivation of health chatbot.
Abstract In the process of designing and forming each system, it is necessary to identify potential vulnerabilities and threats to that system and to include appropriate countermeasures. The process that helps to find the problem in the first phase of design is called threat modeling. Threat modeling is based on the idea that every system has valuable resources that need to be protected. These resources have certain weak points that internal or external threats can use to harm them, while there are as well countermeasures used to mitigate them. Therefore, this paper analyses the security of a Web of Things (WoT)-based system for remote management of windows, which is in the design stage by using a threat modeling approach based on STRIDE and DREAD. The results obtained through Microsoft Threat Modeling Tool (MTMT) justified the use of threat modeling in the design phase given that we have identified in total 118 threats, with Elevation of privilege class of threats being the most prominent ones. The Information disclosure threats are found to be the ones characterized as medium and low risk ones, while the most represented high-risk threats again come from the Elevation of privilege class of threats.
Abstract The Web of Things (WoT) emerges from applying Web technologies to the Internet of Things (IoT) to access information and services of physical objects. These systems are likely to characterize the future of digital environment and they put certain security issues in the story. In order to help detect potential threats to WoT-system that is being built and designed, it is advisory to implement a threat modelling process. Threat modelling is an engineering technique that can be used to identify threats, attacks, vulnerabilities and appropriate countermeasures in the context of a particular application and is a process best implemented at the system design stage. In this paper, we will analyse the threats for WoT-based door management system by using Microsoft Threat Modeling Tool (MTMT) in order to identify potential threats for this system in design phase. Obtained results justified the use of threat modelling in the design phase given that we have identified in total 89 threats, with Elevation of privilege and Denial of Service (DoS) being the most prominent ones. Those threats are characterized as high and medium risk ones.
Demographic data suggest a rapid aging trend in the active workforce. The concept of aging at work comes from the urgent requirement to help the aging workforce of the contemporary industries to maintain productivity while achieving a work and private life balance. While there is plenty of research focusing on the aging population, current research activities on policies covering the concept of aging at work are limited and conceptually different. This paper aims to review publications on aging at work, which could lead to the creation of a framework that targets governmental decision-makers, the non-governmental sector, the private sector, and all of those who are responsible for the formulation of policies on aging at work. In August 2019 we searched for peer-reviewed articles in English that were indexed in PubMed, IEEE Xplore, and Springer and published between 2008 and 2019. The keywords included the following phrases: “successful aging at work”, “active aging at work”, “healthy aging at work”, “productive aging at work”, and “older adults at work”. A total of 47,330 publications were found through database searching, and 25,187 publications were screened. Afterwards, 7756 screened publications were excluded from the further analysis, and a total of 17,431 article abstracts were evaluated for inclusion. Finally, further qualitative analysis included 1375 articles, of which about 24 are discussed in this article. The most prominent works suggest policies that encourage life-long learning, and a workforce that comprises both younger and older workers, as well as gradual retirement.
Abstract Nowadays, the population is rapidly ageing because of increasing life expectancy and decreasing birth rates. Thus, the purpose of this systematic review is to prepare a comprehensive overview which identifies the activities of daily living (ADLs) that are gradually reduced among patients with dementia, as well as explore the therapies applied in relation to dementia and how they effectively improve the quality of life (QoL) of patients and caregivers. Furthermore, we aim to summarise the ADL activities influenced by therapies and examine the treatment costs and care for patients so that recommendations for research and development (R&D) can be made to improve both the QoL of people with dementia and cost-saving measures. The research focuses on four selected neurodegenerative diseases: Alzheimer, Parkinson, vascular dementia, and amyotrophic lateral sclerosis. Therefore, the peer-reviewed English written articles from 2014 to 2019 were searched between September 1 and December 13, 2019. Twenty-seven papers were included in the analysis. The results show that essential assistance occurs in connection with activities: eating, drinking, dressing, bathing, personal hygiene, use of the toilet, and transport. By contrast, shopping or cleaning is not addressed as much. A lower ability to take care of oneself is connected with poor patient health and higher social care costs because the patient requires care from external sources, such as home aid or nurse visits. The challenge that remains is to shift new knowledge from scientific disciplines and connect it with the needs of patients to remove legitimate barriers and increase the acceptance of new solutions by popularisation. Additionally, regarding the burden on caregivers, it would be appropriate to promote this area of education and employment so that family members can use formal caregivers, ensuring them free time and much-needed rest.
Voice over Internet Protocol (VoIP) is characterized by the growth of session control signalling, which is based on the Session Initiation Protocol (SIP). The growing amount of SIP signalling may cause an overload of VoIP session control infrastructure and quality of service degradation. To reduce the effect of overload conditions, we studied the impact of SIP message differentiation on the quality of VoIP session control procedures. We proposed an algorithm for SIP message prioritization and tested it with Kamailio SIP server under different conditions. Summarizing our research findings, the proposed algorithm improves the performance metrics related to VoIP session control procedures.
A lack of nurses in the Czech Republic is an issue that has been under discussion for several years. The aim of this paper is to analyze the lack and need of general nurses and midwives in the Hradec Kralove region where the shortage is higher than the national average. The used methods are quantitative research and structured interviews, to determine the number of nurses in healthcare institutions. The study uses data obtained from publicly available sources, i.e., Czech Statistical Office (CSO) and the National Institute of Education (NIE). The shortage of nurses in the Hradec Kralove region can be expected by 2030 to be in the range between 647.6 and 667.1 nurses while maintaining the existing conditions, that is, five times more than at present. In addition to the commonly considered measures that appear in the country’s strategies—such as improving the quality of conditions during studies and during employment, specifying or adjusting the role and competency of nurses and midwives in the healthcare system, or unifying employment standards— a focus on promoting the nursing profession can be recommended. Schools and ministries should be encouraged to focus on and invest in the promotion of this profession, so as to play a key role in recruiting new students for the nursing field of study at a time when the nursing profession is perceived positively, as an embodiment of solidarity and selflessness.
The need for the exact overview of technology, which is the target for some purposes is often very crucial. Patent databases provide nowadays very suitable source of data and information which can be further analyzed. Global overview is thus possible to provide for any kind of technology. Smart Furniture is a very used term recently, which is related to current trends such as digitization, smart city or internet of things. Within these phenomena, Smart Furniture is used in different contexts, and so its concept is not clarified. The aim of the article is to show the technology analysis of Smart Furniture based on the patent data analysis and literature analysis by clustering and visualization. The definition of Smart Furniture was recently provided in literature based on previous research which was undertaken based on searching in scientific and patent databases. Thus, the term is defined by its technical properties and parameters. This definition is put into the context of actual trends of patents content with selected future trends. A patent analysis was undertaken between 20 October 2019 and 09 November 2019, while the Web of Science database was included, which was searched by keywords that included the phrase "Smart Furniture" and variants. Patent searching was performed in the PatentInspiration database. In total 31 articles from scientific database and 491 patent applications were examined against strict criteria containing meaningful definitions of Smart Furniture. Based on the analysis of key technologies and properties, clustering of results and their further analysis, it was found that the concept of smart furniture is specific to the following components: intelligent system, controller operated with user's data and energy sources, sensors and actuators.
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