Communication Interface Research Articles

Development of Visual System for Flight Simulation Training Device

The complexity of avionics systems and aircraft equipment is increasing day by day. To operate the avionics equipment, rigorous training is required. The training of pilots to handle these advanced equipment is quite costly. To address this issue a novel flight simulation training device is proposed in this paper. The proposed flight simulator can train the pilot on the ground. The development of visual system for Flight Simulation Training Device (FSTD) is discussed in detail in this paper. The visual system for FSTD is designed using DAQ cards, multifunctional displays, serial communication interface, pilot controls and commercially available off-the-shelf (COTS) controller. This proposed system displays various flight parameters. OpenGL is used to create graphics pages to display flight parameters. DAQ cards were utilizedto connect the analog and digital signals of cockpit to the FSTD’s visual system. A visual system was used in development of actual FSTD by assimilating symbols developed in OpenGL and creating typical pages for simultaneous display on four display surfaces.

Intersign Glove: A Communication Interface for the Aid of Deaf and Mute Community

Intersign Glove: A Communication Interface for the Aid of Deaf and Mute Community

Password based Smart Doorlock System using Arduino UNO for Enhanced Security

In recent years, the demand for secure access systems has increased significantly, especially in residential and commercial areas. Hence, this presents the design and implementation of a password-based door lock system using an Arduino microcontroller and a servo motor. The system provides a cost-effective and reliable solution for managing access to physical sites. The proposed system uses an Arduino microcontroller as the central device to control the authentication process and to control the servo motor that operates the door locking mechanism. A matrix keyboard is used to enter the password, which provides a user-friendly interface for communication. The servo motor is responsible for physically locking and unlocking the door mechanism based on the authentication result. The operational workflow of the system requires the user to enter a predetermined password using a keyboard. The Arduino microcontroller compares the entered password with the password stored in its memory. After successful authentication, a servo motor is operated to open the door, allowing access to the authorized person. Conversely, failed authentication will result in access being denied.

Sign language Detection and Recognization using Deep Learning

In our modern society, effective communication is crucial for social interaction, personal growth, and professional success. Yet, individuals with hearing and speech impairments often encounter significant obstacles in expressing themselves and understanding others, leading to communication barriers and social isolation. Sign language serves as a vital means of communication for the deaf and dumb community, allowing them to convey thoughts, ideas, and emotions through gestures and expressions. This research paper introduces a groundbreaking "Sign Language Detection and Recognition using Deep Learning" system to address these challenges. Utilizing Convolutional Neural Networks (CNN) and image processing techniques like Histogram of Oriented Gradients , our system accurately detects and interprets sign language gestures in real-time. Additionally, it features a two-way communication interface that facilitates seamless interaction between individuals with different communication modalities, enabling inclusive communication among deaf, dumb, and normal individuals. Through a comprehensive methodology encompassing data collection, preprocessing, model training, and system integration, our research aims to advance technology-driven solutions that promote inclusivity, equality, and dignity for individuals with hearing and speech impairments. By empowering effective communication and full participation in social, educational, and professional contexts, our research endeavors to create a more inclusive and accessible world for all members of society.

A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids

As the adoption of distributed energy resources (DERs) grows, the future of electricity distribution systems is confronted with significant challenges. These challenges arise from the transformation of consumers into prosumers and the resulting increased system complexity, leading to more pressure on the distribution grids. To address this complexity, a Digital Twin framework is designed to simulate DERs within distribution grids effectively. This framework is structured around four key modules: DERs, the electricity distribution grid, the energy management system, and the consumers. It incorporates a communication interface to facilitate interactions among these modules and includes considerations for grid topologies and demand-side configurations. The framework allows for the exploration of various DER adoption rates and capacities. The validation of this framework involves case studies on two Danish distribution grids with scenarios incorporating rooftop photovoltaic (PV) systems, batteries, and electric vehicles, considering different combinations of these technologies. The findings demonstrate the framework’s ability to depict the states of the grid, PV systems, electric vehicles, and battery systems with a 10 min resolution over periods ranging from a day to over a decade.

Virtual instrumentation-based data collection and analysis for CNC machining process

Using Computer Numerical Control (CNC) machine tools in manufacturing is crucial for exact processing materials. The quality of the machined product heavily relies on the machine's condition. Therefore, monitoring and assessing the machine's status is essential to ensure product quality and enhance its lifespan. However, due to cost, space, and technical limitations, only a few physical variables, such as acceleration, force, displacement, acoustic radiation, temperature, and flow conditions, can be measured. Efficient transfer and extraction of these data are critical for monitoring machine status using statistical methods or valuable signatures. Traditional measurement instruments are complex and numerous, whereas measurement and analysis systems based on virtual instrumentation technology collect necessary data from sensors and data acquisition cards, meeting the needs of test analysis. Virtual instrumentation utilizes computer hardware resources, modularization hardware, and software systems for data analysis, communication, and operation interface, providing greater versatility, flexibility, compatibility, and repeatability. Previous research has shown successful attempts at developing LabVIEW-based systems for monitoring CNC milling machines and analyzing cutting parameters and forces. This project aims to collect and process data from the CNC machining process. The main objectives include writing a LabVIEW software program, recording data from CNC machine programs using the provided hardware (myRIO) and LabVIEW program, processing the data using MATLAB software, and analyzing and discussing the obtained results. The report consists of four parts, starting with an introduction to the project's background and literature review, followed by a description of the project steps, methods, experiments, and data processing. The processed data graphs will be presented and discussed, and recommendations for future research will be provided before concluding with a study summary.

A Suspended, 3D Morphing Sensory System for Robots to Feel and Protect.

Artificial sensory systems with synergistic touch and pain perception hold substantial promise for environment interaction and human-robot communication. However, the realization of biological skin-like functional integration of sensors with sensitive touch and pain perception still remains a challenge. Here, a concept is proposed of suspended electronic skins enabling 3D deformation-mechanical contact interactions for achieving synergetic ultrasensitive touch and adjustable pain perception. The suspended sensory system can sensitively capture tiny touch stimuli as low as 0.02Pa and actively perceive pain response with reliable 5200 cycles via 3D deformation and mechanical contact mechanism, respectively. Based on the touch-pain effect, a visualized feedback demo with miniaturized sensor arrays on artificial fingers is rationally designed to give a pain perception mapping on sharp surfaces. Furthermore, the capability is shown of the suspended electronic skin serving as a safe human-robot communication interface from active and passive view through a feedback control system, demonstrating potential in bionic electronics and intelligent robotics.

High-flow Nasal Oxygen in a Physiologically Difficult Airway for Awake Craniotomy: Optimising the Highs and Lows

Abstract Respiratory failure is a major risk factor for perioperative pulmonary complications, requiring mechanical ventilation following general anaesthesia. Awake craniotomy avoids physiological derangements related to general anaesthesia, while facilitating continuous neurological monitoring of eloquent areas. High-flow nasal oxygen (HFNO) provides effective oxygenation with CPAP of 3–4 cmH2O, along with providing a favourable interface for communication. We present a 53-year-old female with carcinoma breast having brain and lung metastases with malignant pleural effusion and superimposed pulmonary infection, posted for parietal lobe metastasis excision. Due to her pulmonary comorbidities with an oxygen saturation of 88%, she was posted for an awake craniotomy. HFNO was used to maintain her oxygenation intraoperatively. In this patient, HFNO effectively improved the patient’s oxygenation, comfort and compliance without compromising her involvement in neurological testing.

Imitation of Computer-Generated Sounds by Wild Atlantic Spotted Dolphins (Stenella frontalis)

Since 1985 a community of wild Atlantic spotted dolphin (Stenella frontalis) have been observed underwater in the Bahamas. A human-worn, acoustic underwater two-way communication interface was developed and deployed from 2013-2016. Dolphins were exposed to an acoustic referentially based wearable underwater computer/interface. A model/rival system was used with dolphins and human participants during in-water sessions. Artificial and natural objects were labeled with computer generated sounds. Female juvenile spotted dolphins dominated the activity. Group size averaged seven dolphins for an average duration of 37 minute over 58 sessions. Of 243 video audio imitations and 56 Cetacean Hearing Augmentation Telemetry (CHAT) audio imitations, six potential response types were documented and measured. Stand-alone vocal contour mimics and Frequency Modulated Contours were the most common imitations. Within 5 sec of a computer-generated sound playing, of the 191 non-stand-alone vocal responses that were produced, 114 of them (59.7%) were judged as partial accurate matches, 3 of them (1.57%) were judged as non-matching partial imitations of a computer-generated sound, 67 of them (35.08%) were signature whistles, and seven of them (3.67%) were either non-signature whistle vocalizations or a mimic of the start or end tones. Thus, the majority of vocalizations produced by the dolphins within five seconds of a computer-generated sound were partial accurate imitations for the computer-generated sound played. Dolphins demonstrated both immediate and delayed vocal imitation and flexible attempts at imitation but did not show signs of a functional understanding of object labels. Atlantic spotted dolphins showed vocal flexibility in reaction to humans broadcasting computer generated sounds.

Application of SSA-KNN Algorithm in Fault Analysis of Power Metering Automation System

In view of the great pressure of operation and maintenance of power energy data collection terminal after putting into operation, an intelligent fault diagnosis system for power equipment terminal based on computer was developed. This paper proposes an Agent based on autonomy, promotility, cooperation and interactivity. It also provides a flexible interactive communication interface and load balancing optimization method. It can meet a variety of data transmission specifications and a large number of data service transmission requirements. The SA-KNN algorithm is used to analyze the power quality. Methods The operation data of maintenance electricity were collected. Learning and cluster analysis are carried out by using relevant data, and the calculation model of automatic check device failure is established. At the same time, the outlier points in the collected data are used to accurately locate the fault points of the power grid. This method can realize the comprehensive fault diagnosis of the power grid by using the interaction between the power grid and each component.

Smart solutions in car dashboard interfaces as a response to needs of drivers and their assessment

Current trends in the production of passenger cars focus on the development of the so-called intelligent cars, richly equipped with multimedia systems with uninterrupted access to the Internet, connected to digital road infrastructure leading to autonomous driving in the future. Such changes lead to the development of new solutions and testing them, first in laboratory conditions, and then in practical use with the participation of consumers, and especially drivers. Vehicle designers are guided by the idea of simplifying vehicle interfaces’ operation and making them more comfortable and easier to use, while maintaining safety standards for traveling people and other road users. However, the question arises whether they actually achieve the expected results. The authors of the work focused on selected solutions and on assessing the validity of using such solutions in terms of convenience and safety. Various factors influencing drivers' driving behavior were discussed, mainly related to media handling. The research was based on a survey questionnaire containing a number of questions addressed to people using particular systems. Vehicle users expressed their opinions on three solutions available on the market used in car cockpits (ASD – analogue switch dashboards, GSD – gesture/speech controlled dashboards, and TSD – touch screen dashboards). The analysis of the collected data made it possible to clarify the extent to which the use of the car cockpit is adapted to the actual needs of the users. In order to qualitatively evaluate the research results, correspondence and decision tree analyzes were used. The obtained results indicate significant differences in the assessment of communication interface solutions in groups of respondents due to different grouping variables.

ROSIC: Enhancing secure and accessible robot control through open‐source instant messaging platforms

AbstractEnsuring secure communication and seamless accessibility remains a primary challenge in controlling robots remotely. The authors propose a novel approach that leverages open‐source instant messaging platforms to overcome the complexities and reduce costs associated with implementing a secure and user‐centred communication system for remote robot control named Robot Control System using Instant Communication (ROSIC). By leveraging features, such as real‐time messaging, group chats, end‐to‐end encryption and cross‐platform support inherent in the majority of instant messenger platforms, we have developed middleware that establishes a secure and efficient communication system over the Internet. By using instant messaging as the communication interface between users and robots, ROSIC caters to non‐technical users, making it easier for them to control robots. The architecture of ROSIC enables various scenarios for robot control, including one user controlling multiple robots, multiple users controlling one robot, multiple robots controlled by multiple users, and one user controlling one robot. Furthermore, ROSIC facilitates the interaction of multiple robots, enabling them to interoperate and function collaboratively as a swarm system by providing a unified communication platform that allows for seamless exchange of data and commands. Telegram was specifically chosen as the instant messaging platform by the authors due to its open‐source nature, robust encryption, compatibility across multiple platforms and interactive communication capabilities through channels and groups. Notably, the ROSIC is designed to communicate effectively with robot operating system (ROS)‐based robots to enhance our ability to control them remotely.

Improving vocational guidance through an expert system: Temporary decreasing and enhancing student self-awareness.

The vocational guidance process in educational institutions faces important challenges in managing trials and errors in diagnoses. Technological tools are identified as an effective solution to address these problems. This research seeks to improve career guidance in educational institutions through the implementation of an expert system. The main objective is to reduce test processing time and achieve greater efficiency in students' self-knowledge regarding their interests, based on the personalities of the Holland Test. The development of the expert system followed a six-model approach. First, an organisational model was created to assess the scope and feasibility of the project. Next, a task and agent model was developed to investigate the impact and look for improvements. A knowledge model was then developed to analyse the relevant knowledge bases. A communication model was also developed to evaluate the communication interface of the system. Next, a design model was created to provide guidelines for the implementation of the system. Finally, the implementation of the knowledge system was carried out to ensure its correct functioning. The implementation of the expert system has shown significant improvements in the vocational guidance process. It was possible to reduce the time needed to apply the test, thus optimising the psychologist's time and allowing a greater capacity for analysis. In addition, an improvement in the effectiveness of the students' self-knowledge in relation to their vocational interests based on the personalities of the Holland Test was observed. This study contributes to career guidance in educational institutions by introducing an innovative expert system. This technological solution optimizes the career guidance process, benefiting psychologists administering tests and students seeking self-knowledge about their career interests.

Design of PLC Electrical Control System

With the continuous expansion and development of factory enterprise scale, the development of automatic batching control system has also been accelerated. Batching mixing control system is a kind of raw materials mixed together according to a certain proportion, processing to produce a certain product process. This paper mainly designs and realizes the batching mixing control system of programmable logic controller (PLC). By precisely controlling the proportion of batching and the mixing time, the system is widely used in chemical, pharmaceutical, food and other fields to improve production efficiency and product quality. PLC system is a flexible, programmable electrical control equipment, because of its powerful, easy to use, high reliability characteristics, often used as the field data acquisition and equipment control. This paper mainly introduces the automatic control of liquid mixing system by Siemens PLC. The control object, hardware composition, software design and system function of the PLC based mixing, automatic mixing and automatic discharging system for two kinds of ingredients can simulate and display the whole working process of the liquid mixing system. The hardware of the system is mainly composed of S7-300 programmable controller, keys, stirring motor, frequency converter, solenoid valve and pump, etc. The programming software adopts Siemens programming software STEP7. The system transmits the collected field data to PLC through the weighing sensor, and after the PLC processes the field data logically, the corresponding control command is issued to complete the automatic control of the system. Finally, the system uses the communication interface to connect with the host computer to realize the communication between PLC and computer. The system has high degree of automation, strong flexibility, and can meet different production process requirements.

Development of novel variable building skin with solar concentrating technology for obtaining energy benefits and optimizing indoor daylighting

Variable building skin, as an interface for human-environment interaction and communication, can adjust the state of the building skin according to the user's needs to optimize the indoor environment. However, many current variable building skin prototypes predominantly draw inspiration from the natural environment (bionics) or material properties, with limited consideration given to integrating solar energy resources, resulting in variable building skins lacking energy production performance. Simultaneously, this development mode also results in most current variable skins controlling the indoor light environment through reflection or shading, failing to maximize solar resource use, and even reducing indoor daylighting comfort. Therefore, it is necessary to explore the additional benefits of variable skins and develop novel energy production skins, which are driven by the goals of decarbonization and comfortable indoor daylighting environments. This study develops a novel variable building skin utilizing solar concentrating technology, with the aim of generating additional energy benefits and optimizing indoor daylighting. Additionally, we perform comprehensive simulations and comparative experiments on the newly developed energy production variable building skin to assess their performance and viability regarding energy production (additional benefits) and optimization of indoor daylighting (fundamental role). The simulation results show that the developed energy production building skin can optimize indoor daylighting and generate energy benefits. Compared to common skin and no skin, the energy production skin can generate a maximum of 5.73 kWh and a minimum of 0.84 kWh in a single day. Additionally, compared to no skin, it can increase the useful daylight illuminance (UDI) by a maximum of 9.36% and reduce the daylight glare probability (DGP) at the second viewpoint by a maximum of 16.71%. The energy production variable building skin maximizes using the sun's resources while balancing aesthetics and application. It can provide design inspirations and methods for transitioning variable building skins toward energy production skins.

Visual communication design of web-based learning resources in the digital era

Since the dawn of the digital web era, web-based learning resources have become more and more significant in the field of education. To a certain extent, the visual communication design of these resources influences how well students learn. In view of this, the study proposes a deep learning-based approach to visual communication design. Convolutional neural networks are introduced to automatically construct the visual communication interface, a recommendation algorithm is used to develop the system’s recommendation function, and machine translation is used to translate the language description text. The study method’s efficacy was evaluated. According to the experimental results, the research method’s runtime in a color environment was only about 37.7 seconds at 4k resolution; in a non-color environment, the method’s F1 value was 0.87 at a recommended list length of 35, which was higher than that of other methods; and when it came to the interface solutions in real terms, the research method produced 526 at 30 buttons. The aforementioned findings demonstrate that the suggested approach can successfully increase the visual communication’s design speed and performance in online learning materials and offer a suitable answer to the needs of real-world applications.

Modeling and optimization of a passive building HVAC system based on improved PSO and H-J Algorithm

Passive buildings employ the principles of active optimization and passive priority to demonstrate their energy-saving, comfortable, and cost-effective qualities, thereby addressing energy consumption in an efficient manner. However, it cannot be ignored that the Heating Ventilation Air Conditioning (HVAC) system is still the largest energy consumer, especially when it is necessary to maintain the comfort of the indoor environment. Consequently, the control and optimization of the HVAC system is a research hotspot and a challenge in the field of building energy conservation, as it is the key to achieving ultra-low energy consumption operation in passive buildings while ensuring the thermal comfort of the indoor environment. This paper presents a comprehensive modeling, control, and optimization framework for the efficient operation of HVAC systems in a passive building located in Jinan, China. Firstly, the HVAC system is modeled using the transient system simulation tool (TRNSYS), GenOpt, Java, and other software. Secondly, the HVAC system’s year-round operation is simulated using specific configurations. In order to enhance the energy-saving effect, a strategy of increasing heat storage and return air ducts was proposed, and a significant energy-saving effect (approximately 17.31%) was realized. Lastly, the data communication interface with GenOpt is established utilizing the TRNOPT module, a method for actively optimizing the refrigerant temperature is proposed, and recalculation and optimization are carried out utilizing the swarm intelligence algorithm and the pattern search algorithm (Hooker-Jeeves algorithm, H-J algorithm). The final optimization results demonstrate a 19% reduction in energy consumption relative to the baseline heat recovery model, validating the applicability of the optimization method under this strategy. The control and optimization method of the HVAC system proposed in this paper can further exploit the energy-saving potential of the passive building HVAC system and will contribute to the advancement of building energy conservation.

FPGA-Accelerated Erasure Coding Encoding in Ceph Based on an Efficient Layered Strategy

Distributed storage systems such as Ceph have been widely adopted, with erasure coding technology being an essential fault-tolerance technique. While ensuring data reliability and security, it significantly reduces the cost of data storage. Due to the computational overhead and encoding latency introduced by the erasure coding process, the data encoding rate is often constrained. To address this issue, an FPGA-accelerated erasure coding encoding scheme in Ceph, based on an efficient layered strategy (FPGA-Accelerated Erasure Coding Encoding in Ceph with an Efficient Layered Strategy, LFEC-Accelerator), is proposed and implemented. This approach takes full advantage of FPGA’s parallel computing capabilities to accelerate the erasure coding algorithm at the hardware level. Furthermore, to maximize the utilization of the FPGA controller’s resources and ensure that all processing steps are properly managed and scheduled, our approach introduces a hierarchical structure comprising a communication interface layer, task scheduling layer, and hardware acceleration layer. Experimental results indicate that, under the same erasure coding configurations and file sizes, our solution outperforms native Ceph-supported erasure coding libraries such as Jerasure, Clay, Shec and ISA, with an encoding rate improvement of up to 3.04 times.

Brain-Computer Interfaces for Communication in Patients with Disorders of Consciousness: A Gap Analysis and Scientific Roadmap.

We developed a gap analysis that examines the role of brain-computer interfaces (BCI) in patients with disorders of consciousness (DoC), focusing on their assessment, establishment of communication, and engagement with their environment. The Curing Coma Campaign convened a Coma Science work group that included 16 clinicians and neuroscientists with expertise in DoC. The work group met online biweekly and performed a gap analysis of the primary question. We outline a roadmap for assessing BCI readiness in patients with DoC and for advancing the use of BCI devices in patients with DoC. Additionally, we discuss preliminary studies that inform development of BCI solutions for communication and assessment of readiness for use of BCIs in DoC study participants. Special emphasis is placed on the challenges posed by the complex pathophysiologies caused by heterogeneous brain injuries and their impact on neuronal signaling. The differences between one-way and two-way communication are specifically considered. Possible implanted and noninvasive BCI solutions for acute and chronic DoC in adult and pediatric populations are also addressed. We identify clinical and technical gaps hindering the use of BCI in patients with DoC in each of these contexts and provide a roadmap for research aimed at improving communication for adults and children with DoC, spanning the clinical spectrum from intensive care unit to chronic care.

Enhancing High-Speed Data Transfer in Fpga-Based Systems: An Innovative Usb 3.0 Communication Interface Design

This study introduces an innovative design for a USB 3.0 communication interface, specifically tailored for Field-Programmable Gate Arrays (FPGAs). Given the escalating requirements for rapid data transmission in contemporary computer applications, USB 3.0 provides substantial enhancements over its antecedents. Nonetheless, extant USB communication interfaces inadequately cater to FPGA development, leading to diminished productivity for developers. To reconcile this discrepancy, this paper advocate for an Intellectual Property (IP) core interface that capitalizes on the concurrent data transmission proficiency of FPGAs, in conjunction with the superior speed transfer of USB 3.0. This design employs the CYUSB3014 chip, amalgamating the Physical Layer (PHY), Serial Interface Engine (SIE), and driver software into a singular entity. Herein, the FPGA serves as the nexus of control, streamlining data interchange and interface coordination among diverse modules within the system. The design put forth not only enables expeditious data communication in FPGA-centric systems, thereby surmounting the constraints of conventional USB interfaces, but also promotes accelerated data conveyance and augmented development efficiency. Consequently, this design harbors extensive applicability across spheres of digital system design and communications.