Remote Computer Research Articles

Integration of ROV and vision-based underwater inspection for Limnoperna fortunei in water conveyance structure

The invasion of Limnoperna fortunei (L. fortunei) has been identified as one major biofouling in the operation of hydraulic engineering, which not only corrodes the concrete structures but also reduces the pipe diameter and increases the surface roughness, leading to the decrease of water conveyance capacity and the increase of the project operation cost. To better cope with this problem, an automated underwater inspection analysis scheme for the biofouling of L. fortune is provided in this study, which innovatively integrates the underwater remote operating rover (ROV) and computer vision techniques to inspect and evaluate the invasion of L. fortunei in water conveyance structure. This scheme first presents an image enhancement approach based on the fusion strategy to improve the quality of images extracted from underwater robot inspection videos. Then, the L. fortunei is segmented by U-Net in the enhanced underwater images, and the definition of adherent area ratio quantitatively assesses the biofouling severity. At last, the underwater inspection analysis scheme is implemented in a typical aqueduct, and the automatic analysis results are compared with the field investigation during the emptying maintenance of the aqueduct. In this study, the dataset of real ROV inspection video sequences was first used to evaluate the effectiveness of the proposed method for inspecting L. fortunei invasions in realistic scenarios, and then for the comparison with state-of-the-art methods. The results show that the proposed automated inspection scheme is capable of efficiently improving the underwater imaging quality and accurately detecting the L. fortunei.

EXPERIMENTAL REMOTE DETERMINATION OF THE STATIC CHARACTERISTIC OF THE ARC IN TIG WELDING

In the conditions of TIG welding, the magnitude of the current is set, but not the voltage of the arc. To determine the arc voltage at a set current, arc length, type of electrode, sharpening angle and others, it is necessary to know the static characteristics of the welding arc. This dependence facilitates the use of simulation modelling methods of welding processes. In the proposed study, the static characteristics of the welding arc in TIG process with 4 types of electrodes were determined experimentally. The magnitude of the current was set in the range of 20 to 200A and the arc voltage was measured. All parameters are measured remotely by a real-time welding monitoring system and transferred to a remote computer via the Internet. Graphs were built based on the recordings, and the numerical results were processed and regression relationships were obtained.

Surveillance Robot for Landmine Detection

Abstract: Landmine detection robots are intended to cover as much of the landmine field as possible in order to detect landmines.The encountered landmines, along with the scanned and residual territory, are represented with millimetre precision on an interactive map. This study offers a prototype model of a land mine detecting robot that is strong while being affordable in cost and easy to handle. Graphic user interface is created for mapping landmines, displaying scanned and remaining areas, PID tweaking, and camera alignment.The emphasis is on controlling the differential drive robot in auto, semi-auto, and manual modes. The image processing technology is used to determine the precise position of the robot, which offers live reckoning feedback to the robot's dead reckoning servo control. A metal detector is a sensor that is used to detect landminesThe GUI, or graphical user interface, for the remote terminal computer essentially controls the robot.The procedure is simple, yet effective in achieving the intended results.The method is basic but strong and understandable in order to get the desired goals.

Synthesis of Multi Wall Carbon Nanotubes based Electronic Sensors for Internet of Things (IoT)

The Internet of Things (IoT) refers to advance devices other than computers that are connected to the Internet and can send and receive information. IoT is a new paradigm that has transformed traditional lifestyles into high-tech ones. It is the notion of a ubiquitous computer environment in which custom-sized electronics are effortlessly implanted into common things. Electronic sensors at the heart of the IoT detect physical/environmental occurrences, translate these measurements into electrical signals, and wirelessly transfer the data for remote computation. Indeed, the 5G communication and cloud computing stimulate the research in applications of carbon nanotubes in electronic devices. CNTs have demonstrated potential applications in electronics, biosensing, artificial intelligence and the Internet of ThingsIn present study, we report the synthesis of Multi Wall Carbon Nanotubes (MWCNTs) by Chemical Vapour Deposition (CVD) at 600C on Zinc Oxide (ZnO) catalyst coated silicon substrate by thermal evaporation technique. As-grown MWCNTs are characterized by Scanning Electron Microscope (SEM). High density growth of MWCNTs have been confirmed by SEM image. Catalyst nanoparticles play very important roles in the decomposition of the hydrocarbon source and to provide nucleation site for growth of MWCNTs. High MWCNT density is required for IoT-based sensors with high performance, sensitivity, selectivity, and distant sensing. Because IoT not only provides services but also creates massive amounts of data. Hence, this study would be helpful for the next generation 5G communication and cloud computing stimulate to enhance living style.

Eco-friendly functional cellulose paper as a fire alarming via wireless warning transmission for indoor fireproofing

Herein, a strategy for fabricating wallpaper-based smart fire-warning systems to monitor and mitigate indoor fires is proposed. The fire-warning system, based on eco-friendly cellulose paper (CP), is produced via a simple dip-coating technique and provides flexibility, rapid low-temperature warning, and novel local and remote wireless signal conversion capability. Specifically, this fire-warning system can balance flexibility and flame retardancy, reducing the negative impact on the mechanical properties after adding flame retardants. Furthermore, the proposed fire-warning system meets the critical requirement of a fast low-temperature warning, showing warning messages within 2 s under 250 ºC, decreasing the response temperature below the combustion temperature of common materials (＞300 ºC). Moreover, the luminosity and temperature data collected can be sent to local and remote computers by wireless conversion. This work gives insight into the new generation of low-temperature smart fire-warning systems, including the contribution of wireless warning signal transmission to achieve smart and efficient fire detection.

Near-Zero Quiescent Power Sound Wake-Up and Identification System Based on a Triboelectric Nanogenerator.

Sound monitoring has been widely used in the field of the Internet of Things (IoT), in which the sensors are mainly powered by batteries with high power consumption and limited life. Here, a near-zero quiescent power sound wake-up and identification system based on a triboelectric nanogenerator (TENG) is proposed, in which the sound TENG (S-TENG) is used for ambient sound energy harvesting and system activation. Once the sound intensity is higher than 65 dB, the converted and stored electric energy by the S-TENG can wake up the system within 0.5 s. By integrating a deep learning technique, the system is used for identifying sound sources, such as drilling, child playing, dog barking, and street music. In the active mode, the sound signals are recorded by a microelectromechanical systems (MEMS) microphone and then sent to a remote computer for sound recognition through a wireless transmitter within 2.8 s. In the standby mode, the ambient sound is not enough to wake up the system, and the quiescent power consumption is only 55 nW. This work provides a triboelectric sensor-based ultralow quiescent power sound wake-up system, which has shown excellent application prospects in smart homes, unmanned monitoring, and the Internet of Things.

A wireless and battery-less implant for multimodal closed-loop neuromodulation in small animals.

Fully implantable wireless systems for the recording and modulation of neural circuits that do not require physical tethers or batteries allow for studies that demand the use of unconstrained and freely behaving animals in isolation or in social groups. Moreover, feedback-control algorithms that can be executed within such devices without the need for remote computing eliminate virtual tethers and any associated latencies. Here we report a wireless and battery-less technology of this type, implanted subdermally along the back of freely moving small animals, for the autonomous recording of electroencephalograms, electromyograms and body temperature, and for closed-loop neuromodulation via optogenetics and pharmacology. The device incorporates a system-on-a-chip with Bluetooth Low Energy for data transmission and a compressed deep-learning module for autonomous operation, that offers neurorecording capabilities matching those of gold-standard wired systems. We also show the use of the implant in studies of sleep-wake regulation and for the programmable closed-loop pharmacological suppression of epileptic seizures via feedback from electroencephalography. The technology can support a broader range of applications in neuroscience and in biomedical research with small animals.

Transmission of Digital Data to Cascaded H-Bridge Converters Through the Power Line

Power line communication (PLC) technologies enable the point-to-point linking between distributed power production and consumption units, thus overlaying enhanced monitoring and control capabilities to the overall power system. A novel PLC method for cascaded H-bridge converters is presented in this article, which enables the transmission of digital data by a remote terminal computer to the individual power modules synthesizing a cascaded H-bridge power converter through their power circuits. The proposed PLC method comprises an integrated framework of a digital data transmitter, receiver, and communication protocol, without using additional coupling circuits, which is suitable for cascaded H-bridge power converters with either a dc or an ac output. Its operation was tested using an experimental prototype consisting of a two-module cascaded H-bridge inverter and a field-programmable gate array device hosting the digital transmitter and receiver units. The experimental results verified the successful transmission of digital parameterization commands from a central terminal computer to the individual power modules of the cascaded H-bridge converter, along with the simultaneous transmission of ac or dc power to the load over the common power cable.

KVM Terminal Software Design Based on RK3399 Processor

KVM denotes the initials of the keyboard, monitor and mouse of a computer. digital KVM systems are composed of two parts, one is the device terminal and the other is the software adapted to this device terminal. KVM systems are emerging remote centralized management technologies for multiple devices in multiple locations based on IP networks in recent years [1,2]. digital KVM systems mainly use IP networks to control remote computers to control remote computers mainly through IP networks [3]. Therefore, KVM systems are widely used in computer management and remote control of computers. In practical applications, the compression efficiency of images is relatively low and the delay of mouse movements is relatively large. To address these two shortcomings, this paper designs a software based on the RK3399 processor, which on the one hand performs fast image acquisition and high-quality encoding, and on the other hand realizes input control of the target computer through the mouse and keyboard control chip UI012.

Crankshaft Stress Telemetry Device and Its Low Power Strategy

In view of the fact that the crankshaft of an internal combustion engine lacks the support of measured stress data due to the closed working environment, a real-time stress test device for crankshaft and its low power strategy were studied. An embedded telemetry technology is used to solve the system miniaturization and low-power strategy. The integrated circuit chip is used to realize the miniaturization design, and a specialized power management scheme is designed to realize the low-power strategy. The actual test shows that the device can run continuously and stably under the environment of high temperature and oil pollution inside the crankcase and can record the stress curve of the crankshaft and transmit it to the remote computer in real time, which realizes the data visualization on the computer. The designed low-power strategy can help the device complete a single test period, and the device has higher promotion value and practical significance.

An Optimized Offloaded Task Execution for Smart Cities Applications

Wireless nodes are one of the main components in different applications that are offered in a smart city. These wireless nodes are responsible to execute multiple tasks with different priority levels. As the wireless nodes have limited processing capacity, they offload their tasks to cloud servers if the number of tasks exceeds their task processing capacity. Executing these tasks from remotely placed cloud servers causes a significant delay which is not required in sensitive task applications. This execution delay is reduced by placing fog computing nodes near these application nodes. A fog node has limited processing capacity and is sometimes unable to execute all the requested tasks. In this work, an optimal task offloading scheme that comprises two algorithms is proposed for the fog nodes to optimally execute the time-sensitive offloaded tasks. The first algorithm describes the task processing criteria for local computation of tasks at the fog nodes and remote computation at the cloud server. The second algorithm allows fog nodes to optimally scrutinize the most sensitive tasks within their task capacity. The results show that the proposed task execution scheme significantly reduces the execution time and most of the time-sensitive tasks are executed.

ModMag: A modular magnetic micro-robotic manipulation device

Electromagnetic systems have been used extensively for the control of magnetically actuated objects, such as in microrheology and micro- robotics research. Therefore, optimizing the design of such systems is highly desirable. Some of the features that are lacking in most cur- rent designs are compactness, portability, and versatility. Portability is especially relevant for biomedical applications in which in vivo or in vitro testing may be conducted in locations away from the laboratory microscope. This document describes the design, fabrication, and imple- mentation of a compact, low-cost, versatile, and user-friendly device (the ModMag) capable of controlling multiple electromagnetic setups, includ- ing a two-dimensional 4-coil configuration, a 3-dimensional Helmholtz configuration, a 2-dimensional magnetic tweezer configuration, and a piezoelectric transducer for producing acoustic waves. All electronics for powering the systems are contained in a compact 10″x6”x3” case, which includes a 10″ touchscreen. A graphical user interface provides additional ease of use. The system can also be controlled remotely, allowing for more flexibility and the ability to interface with other software running on the remote computer such as proprietary camera software. Aside from the software and circuitry, we also describe the design of the electromagnetic coil setups and provide examples of the use of the ModMag in experiments.•Low cost and portable magnetic micro-robot manipulation device•Compatible with the 3 most common coil configurations (traditional, Helmholtz, tweezer)

Remote Sensing and Edge Artificial Intelligence Computing Systems, Environment Perception and Geospatial Mapping Technologies, and Simulation Modeling and Machine Learning-based Image Recognition Tools in the 3D Cognitive Digital Twin Metaverse

Remote Sensing and Edge Artificial Intelligence Computing Systems, Environment Perception and Geospatial Mapping Technologies, and Simulation Modeling and Machine Learning-based Image Recognition Tools in the 3D Cognitive Digital Twin Metaverse

Acknowledge of Emotions for Improving Student-Robot Interaction

Robot companions will soon be part of our everyday life and students in the engineering faculty must be trained to design, build, and interact with them. The two affordable robots presented in this paper have been designed and constructed by two undergraduate students; one artificial agent is based on the Nvidia Jetson Nano development board and the other one on a remote computer system. Moreover, the robots have been refined with an empathetic system, to make them more user-friendly. Since automatic facial expression recognition skills is a necessary pre-processing step for acknowledging emotions, this paper tested different variations of Convolutional Neural Networks (CNN) to detect the six facial expressions plus the neutral face. The state-of-the-art performance of 75.1% on the Facial Expression Recognition (FER) 2013 database has been reached by the ensemble voting method. The runner-up model is the Visual Geometry Group (VGG) 16 which has been adopted by the two robots to recognize the expressions of the human partner and behave accordingly. An empirical study run among 55 university students confirmed the hypothesis that contact with empathetic artificial agents contributes to increasing the acceptance rate of robots

Improved secure dynamic bit standard technique for a private cloud platform to address security challenges

The numerous technologies and procedures used to safeguard private cloud infrastructure are private cloud security. Despite multitenant public cloud environments, resources are dedicated to individual companies in a private cloud. Cloud computing uses several data security mechanisms, including authentication and identification, access control, encryption, secure deletion, integrity checking, and data masking. Cloud computing relies heavily on security and traffic management. Because data must be transferred from a local computer to a remote computer when using a cloud computing service, data protection is becoming an increasingly important security problem. Research on cloud computing-based secure dynamic bit standard (CC-SDBS) technology has increased data security. This technique’s cryptographic algorithms (CA) improve cloud computing security. As a result of the private cloud security level algorithm (PCSLA), the client’s private data can be easily accessed in the cloud. For the client’s private cloud data, PCSLA provides dynamic security measures. Cloud computing applications can use the tests’ better data security in the future. The proposed algorithm’s testing results have shown a noticeable improvement in cipher size and execution time compared with other commonly used cloud computing. Numerical results revealed that CC-SDBS improved average energy consumption by 20%, average network latency by 25%, average key generation time analysis by 4.3%, and average network use by 15%.

Woody plant cover trends and potential drivers in the Horqin temperate steppe, northeast China: Remote sensing-based computation and modeling

The Horqin temperate steppe is the largest grassland in northern China. With the combined disturbance of multiple potential drivers, the native herbaceous vegetation has degraded with different intensity, and woody plants have transformed into the dominant vegetation in this area. On the one hand, woody plants play an important role in sand control, food/timber product provision, etc. On the other hand, this transformation process significantly affects the steppe ecosystem structure and function. It is necessary to clarify the patterns and determinants of woody plant cover changes. In view of the lack of high spatio-temporal resolution remote sensing data for woody cover. Here, based on high-resolution satellite images and the random forest model, the study reports the annual mean woody plant cover of the Horqin temperate steppe is 17.55 % over the past 35 years, and the significant increase area is approximately 43.7 % of the total area. Analysis of the boosted regression tree model showed potential drivers were mainly attributed to climate change (i.e., mean annual temperature, mean annual wind speed, and annual precipitation) and grazing intensity, with the cumulative contribution approaching 70 %. Furthermore, large-scale and high-density afforestation could also be responsible for the increase in woody plant cover. Against the background of frequent climate extremes, maintaining and improving steppe productivity, avoiding regional climate deterioration caused by blind afforestation, and developing a reasonable grazing management policy is the urgently needed to ensure the relative ecological stability of semi-arid temperate steppes and to achieve relatively sustainable development of the regional agro-pastoral economy.

Exploring the feasibility of smartglass facilitated remote supervision in the emergency department: A simulation study.

Smartglasses are a wearable computer technology that has potential to facilitate remote supervision to junior doctors working in different clinical settings. The present study aimed to explore the feasibility of smartglass technology to enable remote supervision of junior clinicians by senior clinicians during emergency simulation scenarios. This was a feasibility simulation study using high-fidelity mannequins and standardised patients. Trainee interns (TIs) and supervising clinicians (SCs) were invited to participate in two scenarios: a trauma case and a stroke case. There was a pre-sim questionnaire. The TI wore the smartglasses in a simulated ED bay and performed patient assessment and management. Remote supervision was provided by the SC via a livestream on a remote computer. Upon completion, participants completed a survey regarding their experience comprising of Likert scale and free-text questions. Fifteen TIs and 19 SCs participated. In general feedback from TIs and SCs was positive. TIs were able to identify and treat the key diagnostic problems set during the scenarios. Free-text survey responses provided specific feedback about what did and did not work when using the glasses. The present study demonstrates that smartglasses facilitated remote assistance has promise as an emergent technology and warrants further investigation in simulated and non-simulated environments.

Development of an unmanned aerial vehicle for remote live streaming on web dashboard

As the prominence of autonomous aerial vehicles continues to rise globally, the ability of surveillance carried out remotely is likely to become a key aspect. In large spaces, random security checks are performed by security guards and are quite inefficient since on-foot monitoring is extremely non-productive and slow. This paper proposes a remote surveillance solution integrated into an aerial vehicle that performs random inspections and streams the live video on a web dashboard which is a faster and more reliable solution. The paper presents how to design and implement an Unmanned Aerial Vehicle (UAV) with surveillance capabilities wherein the live stream will be remotely accessible on any device connected to the same network. The main purpose of this drone is to transmit live data/video to a web dashboard and hence run inferences to analyse the data. A custom-made drone is integrated with Raspberry Pi with a Universal Serial Bus (USB) camera. An attempt to stream drone video feeds on local devices has been made in this field. The proposed framework operates in the robot operating system (ROS) integrated with the gazebo simulator and is designed to enable the software to communicate with the hardware. Two primary methodologies are utilised; simulations and experimental. The expected outcome should satisfy the need to view the drone’s live video feed on a web dashboard for remote surveillance and computer vision application. At the resolution of 640 × 480, the latency in the live stream varied from 1 to 3 s with 10 frame rates per second. The analysis of the flight logs of the drone suggests that it meets the desired stability required for smooth video streaming. The total estimate calculated to implement this system is Rs. 70,000 including contingencies and spare parts required for experimentation. The proposed prototype appears to be a viable solution for security solutions required by multiple large space owners on the study's findings.

An FPGA-based trigger system for CSHINE

A trigger system of the general function was designed using the commercial module of CAEN V2495 for heavy-ion nuclear reaction experiments at Fermi energies. The system was applied and verified on the compact spectrometer for heavy IoN experiment (CSHINE). Based on the field-programmable logic gate array technology of the command register access and remote computer control operation, trigger functions can be flexibly configured according to experimental physical goals. Using the trigger system on CSHINE, we conducted a beam experiment at 25 MeV/u $$^{86}\textrm{Kr}+ ^{124}\textrm{Sn}$$ on the Radioactive Ion Beam Line 1 in Lanzhou, China. The online results demonstrated that the trigger system worked normally and correctly. This system can be extended to other experiments as well.

Исследование методов прогнозирования атак на информационные системы

The article analyzes the methods of forecasting attacks on information systems. Within the framework of experimental studies, the best method for predicting attacks on information systems has been identified. At the present stage of society’s development, the problems of information security come to the fore in most areas of the company’s activities. This is due to a significant number of informatization projects currently being implemented. Most of them are aimed at building a unified information space in order to optimize the processing of large volumes of various kinds of information, including ensuring its reliable storage and prompt access for participants of information exchange. Priority tasks in this direction are: identification, analysis and classification of existing mechanisms for the implementation of threats to information security; assessment of possible damage; identification of basic measures to counter threats; elimination of vulnerabilities; development of security criteria and protection mechanisms. One of the means of solving these problems is the detection of computer attacks. Malicious impacts on information systems can be presented in the form of network attacks. A network attack is an intentional action by third parties aimed at establishing control over a local or remote computer or computer system. As a result of attacks, attackers can disrupt the network, change account rights, receive users’ personal data and implement other goals. Network attacks by the nature of the impact on the network can be divided into active and passive. The active ones affect the network, which may cause the network to malfunction, or modification of its settings. This type of exposure leaves traces in the network, which is why it is immediately calculated that it will be detected. A passive attack is carried out without affecting the network. But her work violates network security. It is much more difficult to detect it than the active one due to the lack of direct intervention. Basically, the purpose of the attack is unauthorized access to protected information, distorting it or intercepting it. In the first case, the data is changed, in the second, access is performed without interfering with the data structure.