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Towards the Internet of Behaviors in Smart Cities through a Fog-To-Cloud Approach
Get PDFRecent advances in the Internet of Things (IoT) and the rise of the Internet of Behavior (IoB) have made it possible to develop real-time improved traveler assistance tools for mobile phones, assisted by cloud-based machine learning and using fog computing in between the IoT and the Cloud. Within the Horizon2020-funded mF2C project, an Android app has been developed exploiting the proximity marketing concept and covers the essential path through the airport onto the flight, from the least busy security queue through to the time to walk to the gate, gate changes, and other obstacles that airports tend to entertain travelers with. It gives travelers a chance to discover the facilities of the airport, aided by a recommender system using machine learning that can make recommendations and offer vouchers based on the traveler's preferences or on similarities to other travelers. The system provides obvious benefits to airport planners, not only people tracking in the shops area, but also aggregated and anonymized view, like heat maps that can highlight bottlenecks in the infrastructure, or suggest situations that require intervention, such as emergencies. With the emergence of the COVID-19 pandemic, the tool could be adapted to help in social distancing to guarantee safety. The use of the fog-to-cloud platform and the fulfillment of all centricity and privacy requirements of the IoB give evidence of the impact of the solution. Doi: 10.28991/HIJ-2021-02-04-01 Full Text: PD
Analyzing the Epidemiological Outbreak of COVID-19: Real-time, Visual Data Analysis, Short-term Forecasting, and Risk Factor Identification
Get PDFThe COVID-19 outbreak was initially reported in Wuhan, China, and it has been declared a Public Health Emergency of International Concern (PHEIC) on January 30, 2020 by WHO. It has now spread to over 180 countries and has gradually evolved into a world-wide pandemic, endangering the state of global public health and becoming a serious threat to the global community. To combat and prevent the spread of the disease, all individuals should be well-informed of the rapidly changing state of COVID-19. To accomplish this objective, I have built a website to analyze and deliver the latest state of the disease and relevant analytical insights. The website is designed to cater to the general audience and aims to communicate insights through various straightforward and concise data visualizations that are supported by sound statistical methods, accurate data modeling, state-of-the-art natural language processing techniques, and reliable data sources. This paper discusses the major methodologies, which are utilized to generate the insights displayed on the website, which include an automatic data ingestion pipeline, normalization techniques, moving average computation, ARIMA time-series forecasting, and logistic regression models. In addition, the paper highlights key discoveries that have been derived with regard to COVID-19 using the methodologies. Doi: 10.28991/HIJ-2021-02-03-09 Full Text: PD
Statistical Similarity of Mortality and Recovery Ratios for Covid-19 Patients based on Gender and Age
Get PDFBackground: Studying the behavior of patients infected with Covid-19 is an essential issue for health authorities during the global pandemic, so the aim of this study is to investigate the statistical similarity between the recovery and mortality ratios based on the patients' age and gender. For this purpose, the well-known statistical testing method of Kolmogorov-Smirnov has been utilized to investigate the similarity of distribution functions for mortality and recovery rates for patients infected with Covid-19. Results: Data for 1015 patients resulting in death, recovery, and transfer has been collected and analyzed. The age is cross-classified by gender where the rates' cumulative distribution functions are independently calculated and depicted for females and males. The results revealed that there is no significant difference between the distribution functions of mortality and recovery rates by gender, but there is by age. Conclusion: The research results would support the health authorities in managing the admission and discharge procedures of the Covid-19 patients where the hospitality services are traditionally provided differently by gender. Doi: 10.28991/HIJ-2021-02-04-05 Full Text: PD
Application of HyMethShip Propulsion using On-board Pre-combustion Carbon Capture for Waterborne Transport
Get PDFThe HyMethShip project (Hydrogen-Methanol Ship propulsion using on-board pre-combustion carbon capture) is a cooperative R&D project funded by the European Union's Horizon 2020 research and innovation program. The project aims to drastically reduce emissions while improving the efficiency of waterborne transport. The HyMethShip system will achieve a reduction in CO2 of up to 97% and practically eliminate SOx and particulate matter emissions. NOx emissions will fall by over 80 %, safely below the IMO Tier III limit. In this study, the HyMethShip concept is introduced and various aspects of the concept development are discussed. Additionally, some issues that might accelerate or hinder the concept application for commercial shipping are presented. Doi: 10.28991/HIJ-2021-02-02-01 Full Text: PD
Study of Effect of Size on Iron Nanoparticle by Molecular Dynamics Simulation
Get PDFWe use molecular dynamics simulation to study iron Nanoparticles (NPs) consisting of 4000, 5000, and 6000 atoms at temperatures of 300 and 900 K. The crystallization and microstructure were analyzed through the pair radial distribution function (PRDF), the potential energy per atom, the distribution of atom types and dynamical local structure parameters <fx>, where x is the bcc, ico or 14. The simulation indicated that amorphous NP contains a large number of ico-type atoms that play a role in preventing crystallization. Amorphous NP is crystallized through transformations of f14 > 0 and fbcc = 0 type to bcc-type atoms when it is annealed at 900 K upon 40 ns. The growth of crystal clusters happens in parallel with the changing of their microstructure. The behavior of the crystal cluster resembles the nucleation process described by classical nucleation theory. Furthermore, we found that the amorphous NP has two parts: the core has a structure similar to that of amorphous bulk, while the surface structure is more porous and amorphous. Unlike amorphous NP, crystalline NP also has three parts: the core is the bcc, the next part is the distorted bcc and the surface is amorphous. Amorphous and crystalline NPs have part of a core which has a structure that does not depend on size. Doi: 10.28991/HIJ-2021-02-03-01 Full Text: PD
Towards Bayesian Quantification of Permeability in Micro-scale Porous Structures – The Database of Micro Networks
Get PDFThis article develops a Bayesian framework to quantify the absolute permeability of water in a porous structure from the geometry and clustering parameters of its underlying pore-throat network. These parameters include the network's diameter, transivity, degree, centrality, assortativity, edge density, K-core decomposition, Kleinberg's hub centrality scores, Kleinberg's authority centrality scores, length, and porosity. In addition, the incorporated clustering aspects of the networks have been determined with respect to several clustering criteria: edge betweenness, greedy optimization of modularity, multi-level optimization of modularity, and short random walks. As such, the article takes the first steps towards creating a database of micro-networks for micro-scale porous structures, to be used as the main input stream for the proposed Bayesian scheme. Doi: 10.28991/HIJ-2020-01-04-02 Full Text: PD
The Effect of Polyvinyl Alcohol Concentration on the Growth Kinetics of KTiOPO4 Nanoparticles Synthesized by the Co-precipitation Method
Get PDFKTiOPO4 nanoparticles are known as the best candidates to be utilized for second-harmonic generation in multiphoton microscopes and bio labels. Size and shape are important and effective parameters to control the properties of nanoparticles. In this paper, we will investigate the role of capping agent concentration on the size and shape control of KTP nanoparticles. We synthesized KTP nanoparticles by the co-precipitation method. Polyvinyl alcohol with different mole ratios to titanium ion (1:3, 1:2, 1:1) was used as a capping agent. Products were examined by X-ray diffraction patterns and scanning electron microscopy analyses. The X-ray diffraction patterns confirmed the formation of the KTP structure. The biggest (56.36 nm) and smallest (39.42 nm) grain sizes were obtained by using 1:3 and 1:1 mole ratios of capping agent, respectively. Dumbly, spherical and polyhedral forms of KTP nanoparticles were observed by the change in capping agent mole ratio. The narrowest size distribution of KTiOPO4 nanoparticles was obtained at a 1:1 mole ratio of capping agent. Doi: 10.28991/HIJ-2020-01-04-06 Full Text: PD
Implementation of Information and Communication Technology for Human Rights Awareness and Promotion
Get PDFoai:ojs.hightechjournal.org:article/2Information Technologies (ITs) are highly useful for human rights promotion globally. Information and Communication Technologies (ICTs) have proved an influential tool in the fight against violations of human rights. ICT has long represented a way to strengthen human rights. Technology also means that individuals' human rights are exposed to unprecedented risks, caused by the transition of these rights to the digital field. If we observe the different revolutions around the world, especially in countries that have had autocracy for a long period of time, they have been overruled with the help of ICTs. An analysis of the role of ICTs in human rights has been conducted. According to the study, Information and Communication Technology (ICT) play a critical role in raising awareness of and preventing violations of human rights for global citizens. Doi: 10.28991/HIJ-2020-01-01-05 Full Text: PD
Relationship of Smart Cities and Smart Tourism: An Overview
Get PDFSmart cities and smart tourism terms have become very popular in the past and present decades. Research in the field of smart tourist cities still fails to cover the developments of the smart tourist city. The aim of the study is to review the recent literature on smart cities and smart tourism and their roles in achieving a sustainable tourism sector and enhancing the competitiveness of the country's tourism sector by making it more developed and modern. In this study, the relationship between the smart city and tourism is presented and tries to present the relationship or conceptual approach between the smart city and smart tourism. In addition, the current situation and the potential for growth and development of tourism in Iraq through the establishment and application of smart cities are identified. The recent studies that were mentioned in this study indicate that there is a close relationship between the smart city and smart tourism and also indicate that the smart city has a fundamental role in the growth and development of tourist destinations. The smart tourist cities are results of the convergence and interconnection between the smart city and the tourist city. Finally, recommendations for the smart tourism city applications in Iraq are provided. Doi: 10.28991/HIJ-2020-01-04-07 Full Text: PD
Phytochemical Study of Endemic Species Helleborus Caucasicus and Helleborus Abchasicus
Get PDFThe floristic region of Adjara represents the "Hotpoint" of Caucasians, which is distinguished by the uniqueness of its relict Colchis flora. It represents one of the most powerful refuges in western Eurasia, which is not touched by the chill because of its special geographical location. 176 endemic plants are spread in southern Colchis, of which 45 can be used for some medical treatments. The bioecology and detailed phytochemical content of some medicinal plant populations have not been studied so far. The research objective is to study the phytochemical content of endemic species of Helleborus Caucasicus and Helleborus Abchasicus that have spread in southern Colchis. The research method for the phytochemical content included the separation analysis, which was performed using UPLC-MS (Waters Acquity QDa detector). Three Steroidal glycosides were isolated from the MeOH extract of the plants of Helleborus Caucasicus and Helleborus Abchasicus: Hellebrigenin-D-glucose, 20 – Hydroxyecdysone and Hydroxyecdysone – 3 glucoside. Three Steroidal glycosides and Hydroxyecdysone -3 glucoside have been isolated from the MeOH extract of Helleborus Caucasicus. Doi: 10.28991/HIJ-2020-01-01-04 Full Text: PD