Services on Multinationals Operating in Different Countries in Automation and Performance in Organizations as A New Way of Increasing Profit and Cutting Costs

The thesiss main purpose is to focus shared services on multinationals operating in different countries and take the automation process as a new way of increasing profit and cutting costs. However, on the other hand, the effect of automation on employment will be targeted. The thesis project is focused on papers that detail the above measures. They are combined, and the primary goal of the analysis is to illustrate that technology cannot substitute people. Does the research include the methodology for determining what a study report is? And what are the numerous kinds? Finally, it is shown that automation is efficient for businesses but cannot replace people on the other hand because creativity and the ability to develop new processes can never be at hand. We chose AZADEA for research support. We interviewed the operations manager and HR team semi-structured to show that although the shared service process is being implemented, it is important to keep our staff there

Characterization and Representation of Patient Use of Virtual Health Technology in Primary Care

Purpose. Advances in virtual care technology have made healthcare more convenient and accessible. The goal of this study was to elucidate current patient portal behaviors by examining the pattern of time and service type use of patients, via data provided by access logs within electronic health records, to increase communication and care coordination through online healthcare portals. Methods. We conducted a retrospective study of patients in an academic healthcare center over a 5-year period using access log records in electronic health records (EHR). Dimensionality reduction analysis was applied to group portal functionalities into more interpretable and meaningful feature domains, followed by negative binomial regression analysis to evaluate how patient and practice characteristics affected the use of each feature domain. Results. Patient portal usage was categorized into four feature domains: messaging, health information management, billing/insurance, and resource/education. Individuals having more chronic conditions, lab tests or prescriptions generally had greater patient portal usage. However, patients who were male, elderly, in minority groups, or living in rural areas persistently had lower portal usage. Individuals on public insurance were also less likely than those on commercial insurance to use patient portals, though Medicare patients showed greater portal usage on health information management features and uninsured patients had greater usage on viewing resource/education features. Having Internet access only affected the use of messaging features, but not other feature. Conclusions. Efforts in enrolling patients in online portals does not guarantee patients using the portals to manage their health. While promoting the use of virtual health tools as part of patient-center care delivery model, primary care clinicians need to be aware of technological, socioeconomic, and cultural challenges faced by their patients

Can SDN Technology Be Transported to Software-Defined WSN/IoT?

© 2016 IEEE. Wireless sensor networks (WSNs) are essential elements of the Internet of Things ecosystem, as such, they encounter numerous IoT challenging architectural, management and application issues. These include inflexible control, manual configuration and management of sensor nodes, difficulty in an orchestration of resources, and virtualizing sensor network resources for on-demand applications and services. Addressing these issues presents a real challenge for WSNs and IoTs. By separating the network control plane from the data forwarding plane, Software-defined networking (SDN) has emerged as network technology that addresses similar problems of current switched-networks. Despite the differences between switched network and wireless sensor network domains, the SDN technology has a real potential to revolutionize WSNs/IoTs and address their challenging issues. However, very little has been attempted to bring the SDN paradigm to WSNs. This paper identifies weaknesses of existing research efforts that aims to bring the benefits of SDN to WSNs by mapping the control plane, the OpenFlow protocol, and the functionality between the two network domains. In particular, the paper investigates the difficulties and challenges in the development of software-defined wireless sensor networking (SDWSN). Finally, the paper proposes VSensor, SDIoT controller, SFlow components with specific and relevant functionality for an architecture of an SDWSN or SDIoT infrastructure

The Micro Communication Mechanism and Characteristics of Health Rumors among the Elderly Group——Take WeChat Official Account as an Example

The high-frequency spread of health rumors among the elderly in the WeChat field has become a prominent social problem. In order to better control rumor, it is necessary to clarify its micro dissemination mechanism. The paper relies on the MOA theoretical framework to clarify the motivational factors, opportunity factors, and ability factors of the spread of health rumors among the elderly people, and uses interview methods to study the micro dissemination mechanism of health rumors. Research has found that the spread of health rumors among elderly people mainly follows the path of “getting health rumors ? health rumors diffusing within peer groups ? health rumors overflowing from the circle of elderly people ? family members contained”, and forms a “Four Point Dissemination” mechanism that connects peer groups and primary groups, including origin, nodes, fulcrums, and endpoints. From the perspective of communication characteristics, the spread of health rumors has a strong closeness, inter-generational, and situational nature, presenting a double-layer communication structure that intersects within the circle and connects outside the circle, and has a prominent Pareto effect

Wearable Computing for Defence Automation : Opportunities and Challenges in 5G Network

Peer reviewedPublisher PD

Service-aware multi-resource allocation in software-defined next generation cellular networks

Şefik Şuayb Arslan (MEF Author)Network slicing is one of the major solutions needed to meet the requirements of next generation cellular networks, under one common network infrastructure, in supporting multiple vertical services provided by mobile network operators. Network slicing makes one shared physical network infrastructure appear as multiple logically isolated virtual networks dedicated to different service types where each Network Slice (NS) benefits from on-demand allocated resources. Typically, the available resources distributed among NSs are correlated and one needs to allocate them judiciously in order to guarantee the service, MNO, and overall system qualities. In this paper, we consider a joint resource allocation strategy that weights the significance of the resources per a given NS by leveraging the correlation structure of different quality-of-service (QoS) requirements of the services. After defining the joint resource allocation problem including the correlation structure, we propose three novel scheduling mechanisms that allocate available network resources to the generated NSs based on different type of services with different QoS requirements. Performance of the proposed schedulers are then investigated through Monte-Carlo simulations and compared with each other as well as against a traditional max-min fairness algorithm benchmark. The results reveal that our schedulers, which have different complexities, outperform the benchmark traditional method in terms of service-based and overall satisfaction ratios, while achieving different fairness index levels.WOS:000430793600019Scopus - Affiliation ID: 60105072Science Citation Index ExpandedQ1 - Q2ArticleUluslararası işbirliği ile yapılmayan - HAYIRMart2018YÖK - 2017-1

Smart Waste Management System

Waste management is a problem that we are thriving worldwide. Still, a majority of the world is trying to figure out a way to administrate and monitor waste in an efficient way to minimize the outburst of environmental perils. Even though various methodologies and technologies have been used to find a solution still none of them has reached their full potential level. This paper proposes an approach to provide a solution for waste management at its starting point with cost-effective benefits and a higher rate of practicality. With the help of the Internet of things (IoT) and Machine Learning (ML) based Image processing we have developed a handheld device with an integrated app to find a solution for this problem. The device will have the application to monitor the bin's environment sending data to the admin to make further actions if necessary, regarding the maintenance of the bin. Furthermore, the bin will be able to communicate with the user when requested. To make the user more involved in using the bin properly the app will provide a rewarding system to encourage the user to keep using the bin properly. With the joined eco-system of all these technologies, waste management and segregation can be done more effectively with less manpower and more awareness and encouragement among the users creating a new era of a clean eco-system

The roadmap to healthcare digitalization: factors that affect the Portuguese approach to ehealth

Healthcare systems worldwide need to improve health outcomes while reducing costs. Increasing demand for chronic disease management, such as pulmonary disease, is driving digital transformation in healthcare. The Kata® inhalation app aims to improve patients' inhalation techniques through a data-based algorithm. This study aims to classify Portugal’s proneness to healthcare digitalization. Specifically, it investigates to which extent Portugal is lagging compared to digital pioneers and how it can keep up with advancements in a rapidly evolving technological world. The results suggest that Portugal is a positive example of eHealth but its main challenges are patients’ low digital trust and inoperability across infrastructures and health subsystems

6G White Paper on Edge Intelligence

In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning and artificial intelligence become crucial for several real-world applications including but not limited to, more efficient manufacturing, novel personal smart device environments and experiences, urban computing and autonomous traffic settings. We present edge computing along with other 6G enablers as a key component to establish the future 2030 intelligent Internet technologies as shown in this series of 6G White Papers. In this white paper, we focus in the domains of edge computing infrastructure and platforms, data and edge network management, software development for edge, and real-time and distributed training of ML/AI algorithms, along with security, privacy, pricing, and end-user aspects. We discuss the key enablers and challenges and identify the key research questions for the development of the Intelligent Edge services. As a main outcome of this white paper, we envision a transition from Internet of Things to Intelligent Internet of Intelligent Things and provide a roadmap for development of 6G Intelligent Edge