Remote Connection Research Articles

Отдельные результаты применения программного средства аутентификации по клавиатурному почерку

The process of user authentication in various systems deserves special attention when it comes to the need for reliable confirmation of access rights of access subjects to access objects. The speed of the spread of information flows in modern society, the transition to remote connection to information systems and their use in all spheres of human life encourage attackers to search for ways to bypass methods that allow distinguishing the right users of the system from all others. This means that the task of increasing the reliability of the authentication process in enterprises and organizations is urgent, the basis for the full functioning of which is the possibility of providing remote access to information systems for users. The analysis of existing authentication methods and processes has shown authentication has been carried out exclusively on a single basis cannot always sufficiently confirm the authenticity of the information system subjects, which means that it is necessary to consider the possibility of building a twofactor authentication model. Within the ongoing research, we decided to develop a software tool that implements a two-factor authentication model using a password (the simplest and most common method) and biometric (guaranteeing the highest accuracy compared to the other existing methods of identity verification) components. Among the considered methods of biometric authentication, special attention has been paid to keyboard monitoring, aimed at solving the problem of recognizing keystroke dynamics and allowing to contribute to the construction of a subsystem for information protection in computer systems during user identification and authentication procedures. The main result obtained during the experimental study of the application of the developed software tool is to limit the possibility of obtaining unauthorized access to corporate information due to a more accurate identification of the authentication of the subjects of information systems.

FTP Server Client Using Android Application

On a computer network, the File Transfer Protocol (FTP) is a common communication protocol used to transfer data from a server to a client. FTP uses distinct control and data connections between the client and the server in client-server architecture. FTP offers two transfer methods: an anonymous technique and a password-based authentication method. The primary goal of FTP is to encourage file sharing. Clients can connect to the server using third-party applications (eg. FileZilla). A single FTP object can manage status, connection, settings, etc. is the centre of the Apache Commons Libraries. Obtaining a remote connection to involves a set of details, including the server's hostname or IP address, a username and a password.

A study on the channel bonding in IoT networks: Requirements, applications, and challenges

SummaryThe most well‐known sort of remote Internet connection is wireless local area networks (WLANs) due to its unsophisticated operation and deployment. Subsequently, the quantity of gadgets getting to the Internet through WLANs, for example, PCs, cell phones, or wearables, is expanding radically at the equivalent time that applications' throughput necessities do. To provide wireless networks with supplementary spectral resources, the researchers are considering the aggregation of frequency spectrums in licensed, unlicensed, and shared access (SA) bands. Channel aggregation/channel bonding (CA/CB) techniques accumulate quite a few channels together as one channel for the purpose of achieving better bandwidth utilization. In this study, we focus on reliable CA/CB techniques in different wireless networks. CA/CB procedures are utilized for empowering higher information rates by transmitting in more extensive channels, accordingly expanding range proficiency with the assured secure channel for communication. We also discuss the spectral scarcity issues in today's wireless IoT network. This paper presents an extensive survey on CA/CB procedures and methods, issues and challenges, and open research areas related to IoT devices. We analyze the performance of channel CA/CB strategies in the different wireless networks too.

Watching me … watching you: Training and assessment in a virtual world.

Virtual education isn't new. Teaching has been delivered remotely for many years, although it came to prominence with the enforced move to online learning during the COVID-19 pandemic. Technologies provide tools that are integral to our everyday lives, and training and assessment are no different. Stepping back from the obligatory remote delivery of practical skills training, now we have the opportunity to review and evaluate our own learning (as educators) about the value of resources for training delivery. Combining sound educational principles with the available technologies, we can use remotely delivered learning to enhance our teaching and to increase access to learning, without hindrance because of distance or the type of facility. Remote connections allow expertise and best practice to become suddenly available to a wider cohort of researchers, rapidly spreading new ideas about refinement of in vivo procedures and supporting colleagues to learn and develop. We currently use only a few of the technological tools available, and there is much to learn from other disciplines where virtual and augmented reality are assisting surgeons, aircraft pilots and others daily. By harnessing remote and assisted technologies in teaching, we can also develop the mindset and ability of the biomedical community to use them to augment, or even to replace, animal studies in future and to democratise training globally.

Organization of remote interaction of employees with the information infrastructure of the enterprise

Currently, an acute problem is the issue of providing remote connection of foreign institutions and enterprise personnel to its information network through the public Internet network, while other users of the public network cannot access information resources within the enterprise. The paper describes the sequential steps of configuring a server based on Ubuntu 20.04 using StrongSwan, an IPsec daemon that supports both IKEv1 and IKEv2. During the setup process, a 4096-bit RSA key was generated to sign the root CA. The VPN server's private key was then generated, which was signed by the VPN server's certificate using the certificate authority's key. IPsec configuration was also performed by making the necessary changes to the configuration file. Further, the work describes the process of setting up authentication, including setting up an identifier (login) and password. The final step was to configure the firewall, allow access for OpenSSH to remotely manage the server, specify the standard IPsec ports, and set the forwarding settings. This type of communication provides a high level of security, as the server asks the client for a certificate and authentication data. Another advantage is the use of encryption, which is compatible with all platforms. This provides an encrypted and secure network connection, which is important for remote workers as it gives them direct access to the organization's resources without being in the office. Users can connect to the network from different regions around the world using their devices.

You Can’t Hide Behind Your Headset: User Profiling in Augmented and Virtual Reality

Augmented and Virtual Reality (AR and VR), collectively known as Extended Reality (XR), are increasingly gaining traction thanks to their technical advancement and the need for remote connections, recently accentuated by the pandemic. Remote surgery, telerobotics, and virtual offices are only some examples of their successes. As users interact with XR, they generate extensive behavioral data usually leveraged for measuring human activity, which could be used for profiling users’ identities or personal information (e.g., gender). However, several factors affect the efficiency of profiling, such as the technology employed, the action taken, the mental workload, the presence of bias, and the sensors available. To date, no study has considered all of these factors together and in their entirety, limiting the current understanding of XR profiling. In this work, we provide a comprehensive study on user profiling in virtual technologies (i.e., AR, VR). Specifically, we employ machine learning on behavioral data (i.e., head, controllers, and eye data) to identify users and infer their individual attributes (i.e., age, gender). Toward this end, we propose a general framework that can potentially infer any personal information from any virtual scenarios. We test our framework on eleven generic actions (e.g., walking, searching, pointing) involving low and high mental loads, derived from two distinct use cases: an AR everyday application (34 participants) and VR robot teleoperation (35 participants). Our framework limits the burden of creating technology- and action-dependent algorithms, also reducing the experimental bias evidenced in previous work, providing a simple (yet effective) baseline for future works. We identified users up to 97% F1-score in VR and 80% in AR. Gender and Age inference was also facilitated in VR, reaching up to 82% and 90% F1-score, respectively. Through an in-depth analysis of sensors’ impact, we found VR profiling resulting more effective than AR mainly because of the eye sensors’ presence.

Construction of Digital Case Base System Based on DB2 Database

DB2 database supports from mainframe to single-user environment, and makes database localization and remote connection transparent, simplifies the operation and maintenance process of database system, and has become the most important platform for data storage and processing of mainframe system. Digital teaching resources simplify the knowledge and teaching difficulties through multimedia devices, making the communication and interaction between teachers and students more convenient. Teaching case base is one of the digital teaching resources, and the construction of digital teaching case base for recitation based on DB2 database meets the needs of teaching reform and development in the information age. The DB2 object architecture and DB2 Viper architecture are analysed, the database design and functional design of digital teaching case base system for recitation are carried out, and the specific application scheme is proposed.

Application of Network Technologies in Low-Budget Television Production

The article considers the classical scheme of the broadcast news studio and the principle of operation of the television broadcasting system on the example of the standard of the international digital television system, which is the reference model of terrestrial digital television transmission. The structural scheme of the broadcast news studio is given, the functions of each block of the studio and the principle of their work are described. The diagram of the digital television system shows how the signal from the studio passes through the stages of encoding and modulation to the broadcasting antenna, and then the demodulated and decoded TV signal appears in the digital television application on the viewer's side. The interactive communication channel is also discussed in more detail. The diagram of the interactive communication channel presented in this article shows how the communication between the broadcasting company and the viewer of digital television takes place. However, given the current tendency of TV channels to move from broadcasting on digital television to online broadcasting on streaming platforms, the article considers an example of organizing an online broadcast on the YouTube platform. Using the example of equipment from the classical scheme of the broadcast studio, the selection of similar low-budget equipment for organizing a studio for online broadcasts was carried out. The list of low-budget equipment includes a video mixer, video cameras, lighting equipment and two types of microphones. The advantages and disadvantages of low-budget equipment are indicated, from which it can be concluded that low-budget equipment is not of poor quality, but is designed for a smaller number of connected equipment, so it is suitable for use in small television studios. The functions and possibilities of using the selected Blackmagic ATEM Mini Pro video mixer are considered. A scheme for organizing a live broadcast on the YouTube streaming platform using the selected equipment is presented. The low budget of the studio is substantiated by estimates and comparison with the budget of a similar educational television studio. The possibilities of remote access organizing to the workplace via VPN (Virtual Private Network) and RDC (Remote Desktop Connection) are also considered. These features allow employees to work from a remote location, not directly in the studio. The purpose of the article was to determine how does remote access delay the work of the studio and complicate the process of launching online broadcasts. Measurements of connection delay and broadcasting were carried out. According to the results of the measurements, it was concluded that both VPN and RDC insignificantly affects the connection speed of the equipment, so remote work can be equally comfortable as working directly in the studio. The difference between remote work and direct work in the studio consists of in the preliminary configuration of devices for remote connection and also remote work depends on the Internet connection entirely and light availability in the studio.

Implementation of 5-axis Robot Arm for Automatic Processes

Abstract This project devotes to implement the 5-axis movable robot arm leads to provide an automated process for capturing the utensils. The main target is to perform material separation manually and via android program using a 5-axis movable robot arm. In this generated environment, there is information about the electrical circuits, mechanical structures and software of a robot arm that can be used in automation systems. Practically, an experimental study is developed to move the robot arm by adjusting the angular values it receives by remote connection and positioning the motors. 3D printer filaments, which are light in weight, and gear sets of the servo motor are used in order not to burden the servo motors in the mechanical parts of the robot.

Defining and Exploring Broadband Connections and Education Solutions in Canada’s North

The use of technology and need for connection across distance permeates all education environments; nowhere is this more important than in Canada’s Northwest Territories. Broadband and telecommunications issues within the Northwest Territories are complex due to its vast geographical area and community dispersion, making connectivity and accessibility inconsistent. Due to these conditions, the North relies on a variety of broadband solutions to improve Internet speeds and access to education at a distance. This paper analyzes the impacts that broadband capacity and Internet access have on remote education by examining geographic information system data, which offers a framework that connects spatial and temporal data to analyse accessibility of remote education. Characteristics such as spatial location of communities, infrastructure (road systems), and the overlay of various broadband options will illustrate constraints and (dis)connectivity in various regions and inform readers about the complexity of remote connections. Analysis of current upload and download speeds from various regions and their impact on access to education supports geospatial data and analysis that the digital divide in remote regions of Canada has increased and is widening. Improving equitable access to postsecondary education will require a greater reliance on technology-enabled practices to improve learning opportunities.

A digital twin enabled wearable device for customized healthcare

Background: The traditional healthcare process centers on the hospital rather than the individual patient. The demand for continuous monitoring is increasing with the increasing proportion of patients with chronic diseases and the elderly. Wearable medical devices have brought medical monitoring into the Internet age. To improve the devices' adaptability, this research proposes a combination between digital twin (DT) and wearable medical devices is proposed to provide personalized wearable medical devices and personalized healthcare efficiently. Methods: A DT-enabled smart system is proposed for personalization in the design, manufacturing, and data tracking of a healthcare device prototype. A case study is made for three healthcare monitoring scenarios: rehabilitation training, wheelchair, and human fall. Based on computer-aided design and additive print, a triaxial vibration collection bracelet with a simple Internet of things mode is designed and manufactured in personalization. Results: The bracelet shows great application ability in this case study, including design, manufacturing, and remote connection. 10 groups of data were recorded in each scenario. In rehabilitation training and wheelchair experiments, the average values of correlation coefficient between models and the actual data are 0.991 and 0.749 respectively. In human fall experiment, the motion signal parameters of the user and movement pattern were clearly identified. These results provide the basis for applications in different scenarios. Conclusions: The device is representative, with good personalization and health monitoring performance, and has excellent potential for large-scale application. DT will provide a new feasible solution for the realization of personalized medicine.

Causes and processes of two opposite climatic years in the tropical Atlantic warm pools

A numerical investigation of the interannual Southwestern and Equatorial Atlantic warm pools (WPs) (SST>28 °C) was conducted for the 2000–2014 period, focusing on two major opposite events over the past 39 years (1982–2020): an intense warming event in 2010 (sizeable warm pool) and a moderate-to-low event in 2012 (small warm pool). Some modes of climate variability (remote and local) were confronted with the WP area. Significant remote connections were found for the North Atlantic Oscillation (NAO) and the Atlantic Meridional Mode (AMM). Whereas, the Tropical Northern Atlantic (TNA) and Tropical Southern Atlantic (TSA) indices were locally related to anomalies over the WP area. On the months that preceded the 2010 WP event, an anomalous atmospheric circulation in the tropical North Atlantic basin occurred (extremely negative NAO and positive AMM), causing a major weakening of winds, shallower mixed layer, and higher SST. Consequently, the WP boundaries, which usually developed southward along the equator in the austral fall, were pushed northward as warm waters spread out into the north tropical basin. Locally, both basins (i.e., tropical north and south) were warmer than climatologically expected (positive TNA and TSA), leading to a significant increase in the WP area recorded in this period. On the other hand, during the months that preceded the 2012 WP, the trade winds were faster (positive NAO and positive AMM), leading to a condition close to the climatologically expected. The approximation of the center of the subtropical high in the southern ocean basin practically extinguished the portion of warm waters that usually spreads southwest along the basin. While the TNA was weakly positive, the TSA presented negative anomalies that ensured a significant reduction in the WP area in the southern basin during this time. Numerical results from the 2000–2014 run were contrasted with PIRATA buoys and satellite data to assess the model's performance. Investigations of the mixed layer temperature terms disclosed the predominance of the atmosphere over the oceanic terms during the warm pool area increase/decrease, showing a significantly different composition within the oceanic terms. The persistence of the same sign anomalies during the three months preceding the WP's seasonal development appeared to be a pivotal factor in understanding how different the events in 2010 and 2012 were. Net heat flux anomalies, mainly controlled by anomalous wind patterns, were primarily responsible for the extreme events observed in 2010 and 2012.

Diver‐Robot Communication Using Wearable Sensing: Remote Pool Experiments

Abstract Diver‐robot interaction is an exciting and recent field of study. There are different ways a diver and robot can interact, such as using tablets or detecting divers with cameras or sonars. A novel approach presented in this paper uses direct diver‐robot communication. To facilitate communication for humans, we use typical diver gestures, which are transmitted to a robot using a wearable glove and acoustic communications. Following previous work by the University of Zagreb and the University of Auckland, a collaboration to control an autonomous underwater vehicle based on a wearable diver glove has been made possible through the EU Marine Robots project. Under this project, Trans-National Access trials allow Laboratory for Underwater Systems and Technologies, University of Zagreb, to offer its robots and infrastructure to external partners. Initial trials with the University of Auckland, which were planned to take place on site, were transformed into remote access trials. This paper reports on these challenging trials and collaboration given the distance and time zone difference. The key point is to demonstrate the possibility of having a diver remotely controlling a robot using typical gestures recognized by a wearable glove and transmitted via acoustic modems (and the Internet for the remote connection).

Fidelity-Guaranteed Entanglement Routing in Quantum Networks

Entanglement routing establishes remote entanglement connection between two arbitrary nodes, which is one of the most important functions in quantum networks. The existing routing mechanisms mainly improve the robustness and throughput facing the failure of entanglement generations, which, however, rarely include the considerations on the most important metric to evaluate the quality of connection, entanglement fidelity. To solve this problem, we propose purification-enabled entanglement routing designs to provide fidelity guarantee for multiple Source-Destination (S-D) pairs in quantum networks. In our proposal, we first consider the single S-D pair scenario and design an iterative routing algorithm, Q-PATH, to find the optimal purification decisions along the routing path with minimum entangled pair cost. Further, a low-complexity routing algorithm using an extended Dijkstra algorithm, Q-LEAP, is designed to reduce the computational complexity by using a simple but effective purification decision method. Finally, we consider the common scenario with multiple S-D pairs and design a greedy-based algorithm considering resource allocation and re-routing process for multiple routing requests. Simulation results show that the proposed algorithms not only can provide fidelity-guaranteed routing solutions, but also has superior performance in terms of throughput, fidelity of end-to-end entanglement connection, and resource utilization ratio, compared with the existing routing scheme.

Design balance autonomous quadcopter for aerial photography with kalman

The purpose of this research is to develop a cheap, accurate and autonomous quadcopter. This quadcopter contains microcontroller, gyroscope, accelerometer, barometer, electronic governor and brushless motor. At present, the noise removal filter of the quadcopter sold on the market is a complementary filter, and its disadvantage is that it will produce distortion when the attitude changes at a large angle. Therefore, in order to improve the shortcomings of the complementary filter in the quadcopter, we use the Kalman filter to replace complementary filters to achieve goal. At the same time, through the bluetooth remote connection, the flight situation can be immediately known, and the remote unmanned and stable flight of the quadcopter aerial camera can be achieved, so that the disaster areas or places that are difficult for exploration personnel to quickly obtain stable and clear images for convenient arrangement of rescue operations.

Medical students’ views on the distance education practices of the neuroanatomy course during the pandemic

Background/Aim: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in late 2019. This highly contagious and pathogenic coronavirus causes acute respiratory disease pandemic coronavirus disease 2019 (COVID-19). More than 1.2 billion students in 186 countries are currently affected by school closures due to the COVID-19 pandemic. Educational activities, including clinical medical education, were also stopped during the pandemic. To maintain the continuity of medical education, distance learning approaches were developed, including online/offline teaching methods. Within the scope of this training, the effect of distance learning on students’ experience of neuroanatomy teaching was investigated.
 Methods: The study sample included 61 students who agreed to participate. The data of the students who accepted to participate in the study were obtained via a questionnaire form created using the “Attitude Scale towards Distance Education”. The questionnaire was uploaded to the forms section of the Microsoft Teams program, and the link address was sent to all students who took the Neuroanatomy course from the International Faculty of Medicine 2nd year students via e-mail.
 Results: Most students (n = 44, [72.1%]) stated that they could access the internet without any problems, while others had problems. Some students (n = 10; 83.6%) had to share their remote connection devices with their family members during distance education. Some students (n = 9, [14.8%]) had to use mobile phones for homework and exams. Less than half of the students (n = 27, [44.3%]) responded that 3 h per week neuroanatomy teaching was sufficient; most (n = 34, [55.7%]) responded that this was insufficient (P < 0.01). Many of the students who took the distance learning neuroanatomy course (n = 27, [44.3%]) believe that the course has contributed to their professional development (P < 0.01). During distance education, active participation of the classmates – by turning on their microphones – increased the students’ motivation (n = 53, [88.3%]).
 Conclusion There were difficulties in understanding the neuroanatomy lectures delivered by distance education. The Turkish students had greater problems in understanding relative to the international students, who were much more focused. Students will likely derive greater benefit from doing the neuroanatomy course face to face.

Plug‐and‐Play Single‐Photon Devices with Efficient Fiber‐Quantum Dot Interface

AbstractIncorporating solid‐state quantum emitters into optical fiber networks enables the long‐distance transmission of quantum information and the remote connection of distributed quantum nodes. However, interfacing quantum emitters with fiber optics encounters several challenges, including low coupling efficiency and delicate configuration. In this study, a highly efficient fiber‐interfacing photonic device that directly launches single photons from quantum dots into a standard FC/PC‐connectorized single‐mode fiber is demonstrated. Optimally designed photonic structures based on hole gratings produce an ultra‐narrow directional beam that matches the small numerical aperture of a single‐mode fiber. A pick‐and‐place technique precisely integrates a single miniaturized device into the core of the fiber. This approach realizes a plug‐and‐play single‐photon device that does not require optical alignment and thus guarantees long‐term stability. The results represent a major step toward practical and reliable transmission of quantum light across a fiber network.

Establishing a Cybersecurity Home Monitoring System for the Elderly

Many countries have increasingly aging populations. Many of these elderly people live alone and independently, but those suffering from chronic diseases or disabilities are at risk of accidents that will require assistance. Many commercially available homecare systems provide remote monitoring functionality, but these systems require someone on the other end of the remote connection to be paying attention. This raises the need for intelligent home monitoring systems to ensure continuous awareness of user safety. This article proposes a system using beacon technology to assess subject well being based on lack of movement, and automatically activates prepositioned cameras and send an alert to family members or caregivers in response to potentially high-risk activity, such as activating particular kitchen appliances. However, the use of such cameras raises privacy concerns. To improve object readability and privacy, our research uses federated learning to enhance the readability of fast regions with convolutional neural networks features (RCNN). The presented approach stores the personal information of the elderly in the local server, which avoids revealing their home information and secures the data transmission safety by privacy protection. The article has proved the feasibility and practicality by running the experiment; the system can genuinely operate in home health care.

DigiShip - Digitalisation of ship operations

Platform machineries and sensors onboard the vessel necessary for ship operations are connected to ST Engineering’s NERVA Ship Management System and Sensemaking System (SMS2) to remotely control and monitor platform machineries and sensors from the bridge, or monitored from an operator station on the shore. A case study on remote connection to the shore command centre for a tugboat established using local telco’s 4.5G network with operations in the coastal waters of Singapore is discussed. A systematic approach for security assessment of the NERVA SMS2 is also discussed. Threat modelling and risk assessment for major systems are done using STRIDE and HEAVENS methodologies respectively. With platform systems and sensors connected to NERVA, sensors data collected can be analyzed via the predictive maintenance function of NERVA SMS2 to reduce the vessel’s life-cycle cost. NERVA SMS2 performs advanced analytics on the collected sensors data, providing predictive diagnostics information, which predicts potential machinery failure before it happen, which can greatly reduce unplanned downtime. In addition, there is decision support for maintenance, which are aligned with OEM recommendations, guiding the maintenance operator on part that need to be replaced or serviced based on the analysed symptoms reflected through the data.

Artist's Statement: 2020: Single View.

I drew 2020: Single View, on the cover of this issue, with ink directly on the plastic surface of an antique X-ray view box. My artwork depicts an elderly patient, mask pulled down from his face, looking into a blank tablet screen. He is frail, seated in a wheelchair, and notably alone, suggesting the isolation endured by many during the COVID-19 pandemic, relying on remote digital connections to approximate the irreplaceable reality of human presence. Borrowing from religious iconography, I stylized a Byzantian halo from the spiked proteins of the Coronavirus itself, meant to honor not only the sacred nature of the patient (one we may have been challenged to see among a season of scarce resources and triage) but also the reality that COVID-19 clearly looms over the current academic environment. This iconographic motif is further echoed by the photograph itself, which reveals that the X-ray view box is itself backlit as if by a candle, echoing one of the most important aspects of the academic medicine experience: that we must look again, for there is always more to see. Like an X-ray, which reveals the resolution of an effusion, a new pathology, or an anatomical variation that would otherwise remain unseen, the medical institution helps enlighten us to that which deserves further imaging, treatment, or healing. Academic medicine ideally reveals where we are progressing and also where we are failing to progress. It is a space in which we can rightly speak of being exposed, yes—but also potentially illuminated.2020: Single View