Earticle

Clustering offers an effectual way for extending the lifetime of a wireless sensor network (WSN). Recent clustering methods generally use two methods, one is choosing cluster heads (CHs) with higher residual energy (RE) and rotating CHs occasionally, for distributing the energy consumption between nodes in every cluster and prolonging the lifespan of network. But they regraded the hot spot problem in multihop WSNs rarely. When CHs cope with one another for sending data to the base station (BS), the CHs nearer to the BS were troubled with heavy relay traffic and die initially, causing partition in the network and leaving areas of the network uncovered. This article designs an Emperor Penguin Colony based Unequal Clustering Scheme for Hotspot Mitigation (EPCUCS-HM) in WSN. The presented EPCUCS-HM technique aims to mitigate the hot spot problem by the construction of unequal cluster sizes. In the EPCUCS-HM technique, the EPC algorithm is based on lifestyle of penguins. In addition, the EPCUCS-HM technique follows first order radio energy model to compute energy consumption. Moreover, the EPCUCS-HM technique derived a fitness function for effectual CH election and cluster size decision. The performance evaluation of the EPCUCS-HM technique is carried out and the results are assessed under diverse aspects. The experimental outcomes highlighted that the EPCUCS-HM algorithm has shown enhanced performance over other models.

This thesis is a paper focusing on the technology acceptance model and analyzing the impact of the characteristics of 5G services on users' continuous use intentions. With the start of the fourth industrial revolution in the 21st century, 5G is the best technology used in the Internet of Things, high-speed information and communication, artificial intelligence, big data, self-driving cars, virtual reality, augmented reality, robots, nanotechnology, and blockchain. Despite the fierce competition among countries to preoccupy 5G information and communication core technologies of the Industrial Revolution, Korea is very hopeful to expand its economic value by "implementing the world's first 5G high-speed mobile communication. Technical features of 5G high-speed information and communication are represented by ultrafast, ultra-high capacity, ultra-low delay, and ultra-connectedness. 5G mobile communication (hereinafter referred to as 5G) is significantly superior to LTE, which is 4G mobile communication, in terms of transmission speed, latency, and terminal capacity. 5G service is not just one axis in the process of developing mobile communication technology, but it is also an innovative value creation of businesses that technology has. Although 5G was initially expanded to focus on B2C, it will gradually be transferred to a global globalized business in the form o f a variety of new business models and services in the B2B sector. All interest in 5G has now been focused on billions of smartphone users, which, of course, is expected. Therefore, there is a lack of research on how the national investment method will work and what in dividuals can achieve by using 5G services. In addition, in terms of 5G service providers, they have not been able to use specific investment strategies and services because they have not been able to identify large-scale investments for 5G or what parts of each industry as a whole. In this study, we analyzed and organized the characteristics of 5G services, studied the characteristics of each technology of 5G services, and conducted a survey focusing on users' actual usage intentions. To this end, 18 prior papers using existing overseas and domestic technology acceptance models were applied, and results on the intention of use were derived using technology acceptance models..

Network analysis is one of the hottest areas of research in biotechnology and biomedical research. It is a straight forward method of representing local and global characteristics of biological nodes representing the various biological elements. In network analysis, we use mathematical graph theory to show the interaction among the genes and its product. This represents the various biological activities in the cell. In order to predict the certain activity and interaction among the biological elements, it is necessary to find the optimal path in the network. This optimal path is usually the shortest path, which clearly depicts the key elements involved for the particular reaction. It is also necessary to count the number of shortest paths between the given pairs of genes in the network. This paper describes the need for finding shortest path in the biological network and illustrate the usage of Bellman-Ford algorithm to find the shortest path in Hutchinson-Gilford Progeria Syndrome (HGPS) data sets.

Network analysis is one of the hottest areas of research in biotechnology and biomedical research. It is a straight forward method of representing local and global characteristics of biological nodes representing the various biological elements. In network analysis, we use mathematical graph theory to show the interaction among the genes and its product. This represents the various biological activities in the cell. In order to predict the certain activity and interaction among the biological elements, it is necessary to find the optimal path in the network. This optimal path is usually the shortest path, which clearly depicts the key elements involved for the particular reaction. It is also necessary to count the number of shortest paths between the given pairs of genes in the network. This paper describes the need for finding shortest path in the biological network and illustrate the usage of Bellman-Ford algorithm to find the shortest path in Hutchinson-Gilford Progeria Syndrome (HGPS) data sets.

Using medical devices improves the quality of medical care and the work of health personnel. But this use of medical objects accumulates in its path a lot of sensitive personal medical data that must be managed and secured, which is why during the collection of data which is carried out by the medical object, the transmission of data which can be physical or not and storage of data which can be local or remote security must be maintained during all these steps. Blockchain technology is a better solution for medical data security because of its many advantages, integrity, auditability, and validity. In this article, we reviewed the techniques and means proposed by other research to improve security, whether during the collection, transmission, or storage of medical data, and the challenges of implementing blockchain technology in IoMT.