Efficient Communication Research Articles

Research of developmental models and techniques in the function of improving communication capacities

Communication as a basic form of social interaction is based on transmission of experiential contents through signs, whether they are symbols, signals or their combinations. In addition to the numerous factors that contribute to intensification and more efficient communication, there are also a large number of negative factors that reduce the effect of unforced, easy and relaxed communication. We shall try by this work to open current discussions about the elements, aspects, types, forms, functions, models and techniques of improving communication in social interactions. Consistently to the results of the conducted research, we shall provide new interpretations on manner how to overcome situations when we know "what should we say" but we do not know "how to announce it". The increasing communication capacities, the increasing the probability of better and more successful social interaction occur, which causally initiates an increase in the quality of life.

A Modular Smart Ocean Observatory for Development of Sensors, Underwater Communication and Surveillance of Environmental Parameters

The rapid growth of marine industries has emphasized the focus on environmental impacts for all industries, as well as the influence of key environmental parameters on, for instance, offshore wind or aquaculture performance, animal welfare and structural integrity of different constructions. Development of automatized sensors together with efficient communication and information systems will enhance surveillance and monitoring of environmental processes and impact. We have developed a modular Smart Ocean observatory, in this case connected to a large-scale marine aquaculture research facility. The first sensor rigs have been operational since May 2022, transmitting environmental data in near real-time. Key components are Acoustic Doppler Current Profilers (ADCPs) for measuring directional wave and current parameters, and CTDs for redundant measurement of depth, temperature, conductivity and oxygen. Communication is through 4G network or cable. However, a key purpose of the observatory is also to facilitate experiments with acoustic wireless underwater communication, which are ongoing. The aim is to expand the system(s) with demersal independent sensor nodes communicating through an “Internet of Underwater Things (IoUT)”, covering larger areas in the coastal zone, as well as open waters, of benefit to all ocean industries. The observatory also hosts experiments for sensor development, biofouling control and strategies for sensor self-validation and diagnostics. The close interactions between the experiments and the infrastructure development allow a holistic approach towards environmental monitoring across sectors and industries, plus to reduce the carbon footprint of ocean observation. This work is intended to lay a basis for sophisticated use of smart sensors with communication systems in long-term autonomous operation in remote as well as nearshore locations.

Optimizing secure multimedia communication in embedded systems a parallel convolutional neural network approach to RIS and D2D resource allocation

With the rapid development of Internet of Things (IoT) services, technologies that leverage multimedia computer communication for information sharing in embedded systems have become a research focus. To address the challenges of low spectral efficiency and poor network flexibility in multimedia computer communications, this paper proposes a resource allocation scheme based on parallel Convolutional Neural Network (CNN). The scheme optimizes the base station beamforming vector and the Reconfigurable Intelligent Surface (RIS) phase shifts to maximize the secure transmission rate for cellular users (CUs), while ensuring normal and secure communication for device-to-device (D2D) users. First, to mitigate interference caused by D2D users reusing CU spectrum resources, the RIS phase shifts and beamforming vectors are optimized to suppress interference and enhance system secrecy rates. Second, to maximize the CU secrecy rate, the paper proposes a parallel CNN-based resource allocation model that considers base station transmission power, RIS reflection coefficients, and D2D communication rate constraints, incorporating multi-scale residual modules in the convolutional layers of the model. Simulation results demonstrate that the proposed CNN-based resource allocation scheme significantly improves the secrecy rate of embedded system communications, ensuring secure multimedia computing, and outperforms traditional methods.

Implementation of AES-256 Algorithm for Encryption on Chatting Platforms

This research aims to design and build a web-based corporate chat media using prototype methodology and AES (Advanced et al.) algorithm for data encryption. The platform has been developed with MERN technology (MongoDB et al.), which allows the application to be dynamic and responsive. Prototype methodology is used for iterative development based on user feedback, ensuring the application meets user needs. The AES algorithm is applied to maintain the confidentiality and security of each message sent and received. The results show that the application effectively provides efficient and secure communication for the company, with an intuitive and easy-to-use interface. Implementing MERN technology provides flexibility in the development and maintenance of the application, making it the right solution for corporate communication needs.

BIDS: An efficient Intrusion Detection System for in-vehicle networks using a two-stage Binarised Neural Network on low-cost FPGA

Automotive networks are crucial for ensuring safety as the number of Electronic Control Units (ECUs) grows to support vehicle intelligence. The Controller Area Network (CAN) is commonly used for efficient in-vehicle communication among ECUs. However, its broadcast nature and lack of a dedicated security layer make it vulnerable to attacks. This paper proposes a novel CAN bus Intrusion Detection System (IDS), named BNN-based IDS (BIDS), which efficiently provides both unknown attack detection and known attack classification using a hierarchical two-stage Binarised Neural Network (BNN) and Generative Adversarial Network (GAN). BIDS was validated on three datasets, and its implementation achieves an average inference time of less than 0.170 ms with minimal resource utilisation on a low-cost Field Programmable Gate Array (FPGA). This rapid inference speed enables real-time inference on individual CAN messages using a sliding window technique, eliminating the need to wait for multiple accumulated CAN messages required for data preprocessing. Evaluation metrics demonstrate that our IDS achieves high accuracy in both identifying unseen attacks and categorising known attacks. Furthermore, our FPGA implementation consumes merely 2.09 W, which is a 57% reduction compared to a cutting-edge FPGA-based IDS that is capable of detecting unknown attacks using the same dataset.

Following up on "Alarming sound: A case study of noise in an emergency department"

Building on "Alarming Sound: A Case Study on Noise in an Emergency Ward," this follow-up study aims to explore the outcomes of a redesigned floorplan on the Jeroen Bosch Hospital in the city of Den Bosch (NL), it's emergency department staff experiences and workplace dynamics focusing on sound. Leveraging both qualitative and quantitative research methodologies, the study seeks to investigate anticipated changes in staff satisfaction, communication efficiency, and the overall work environment following the implementation of spatial modifications. While the outcomes of these interventions are yet to be determined, the research aims to contribute to the existing body of knowledge on the impact of physical workspace changes on healthcare delivery and staff well-being. This research aims to help develop healthcare environments that improve working conditions and better patient care outcomes.

A heterogeneous ultrasound open scanner for the real-time implementation of computationally demanding imaging methods.

Ultrasound open scanners have recently boosted the development and validation of novel imaging techniques. They are usually split into hardware- or software-oriented systems, depending on whether they process the echo data using embedded FPGAs/DSPs or a GPU on a host PC. The goal of this work was to realize a high-performance heterogeneous open scanner capable of leveraging the strengths of both hardware and software-oriented systems. The elaboration power of the 256-channel ultrasound advanced open platform (ULA-OP 256) was further enhanced by embedding a compact co-processing GPU system-on-module (SoM). By carefully avoiding latencies and overheads through low-level optimization work, an efficient PCIe communication interface was established between the GPU and the processing devices onboard the ULA-OP 256. As a proof of concept of the enhanced system, the high frame rate color flow mapping technique was implemented on the GPU SoM and tested. Compared to a previous DSP-based implementation, higher real-time frame rates were achieved together with unprecedented flexibility in setting crucial parameters such as the ensemble length (EL). For example, by setting EL=64 and a continuous-time high-pass filter, the flow was investigated with high temporal and spatial resolution in the femoral vein bifurcation (frame rate = 1.1 kHz) and carotid artery bulb (4.3 kHz), highlighting the flow disturbances due to valve aperture and secondary velocity components, respectively. The results of this work promote the development of other computational-expensive processing algorithms in real-time and may inspire the next generation of ultrasound high-performance heterogeneous scanners.

OWASP A03 Injection Vulnerability in Web Application Development

Web applications are crucial for businesses and individuals by providing efficient communication, collaboration, and access to services and information via browsers, boosting connectedness, productivity, and creativity in the digital era. Insecure web applications pose risks of data breaches, malware, and unauthorized access which jeopardize user privacy, trust, and organizational security. Web developers must be knowledgeable and prepared to deal with common vulnerabilities in web applications. A prototype web application (https://webriska3.tech) with lesson and editor module is developed to train web developers on the Open Web Application Security Project (OWASP) Top Ten security risks, focusing on A03 - Injection vulnerability. OWASP A03 Injection vulnerability is one of the most common vulnerabilities that is at the heart of any database-driven web applications. Evaluation on the prototype in improvement knowledge on A03 – Injection vulnerability, testers are recruited to complete two coding tasks in laboratory environment. 80% of testers mastered Output escaping/encoding defensive technique while Prepared statement/Parameterized Query defensive technique is the hardest to master. The prototype obtained average System Usability Scale (SUS) score of 57 that is below average, indicating issues with the prototype interface. This work showed promising results of increase understanding on A03 Injection vulnerability and implementation skills to protect web application against attack and exploitations.

Optimization of speech intelligibility in street-facing rooms of adult care home based on acoustic simulation

Due to the limited availability of urban land in China, many adult care facilities have resorted to constructing roadside living spaces. However, this has led to a significant issue of traffic noise disturbance. Besides, many rooms lack of control over indoor reverberation. As a result, the communication efficiency of the residents might be greatly impacted. This study aims to investigate the impact of traffic noise level, room size, and surface sound absorption on speech transmission index (STI), based on a typical room layout and conducted using acoustic simulation. The simulation results indicated that in order to achieve the required STI over 0.79 for elderly residents, it is imperative to control the road noise interference below 40 dBA and ensure that the room reverberation time under 0.42 s. To achieve this, it is recommended that for a road with a noise emission level of 72 dBA, the distance between the roadside room and the road should not less than 10 m. Additionally, windows with Rw+Ctr over 28 dB without road sound barriers (over 20 dB with sound barriers) should be installed. Besides, the room area needs to be controlled within 20 m2 and an acoustic ceiling with NRC>0.65 should be installed.

Implementasi Kebijakan Pembangunan Monumen Reog di Kabupaten Ponorogo

This study aims to determine how the implementation of the reog monument development policy in Ponorogo Regency is analyzed using indicators of the policy implementation model from the Edwards III Model (Tachjan, 2016). The type of research used is qualitative research with data collection techniques in the form of observation, interviews, and documentation. The results showed that all indicators of the policy implementation model for the development of the reog monument in Ponorogo Regency had been achieved, which caused researchers to conclude that the implementation of the Reog Monument development policy in Ponorogo Regency had gone well. Effective coordination between the Tourism Office and related parties, including the DPRD, ensured budget arrangements and clear information dissemination. Overall. The policy was well implemented thanks to competent human resources, with a budget of 50 billion rupiah realized as planned. With approval from the Regent of Ponorogo and the Chairman of the DPRD. The bureaucratic structure shows an effective division of tasks, as well as daily reporting and efficient communication. So it can be concluded that the implementation of the reog monument development policy in Ponorogo Regency has been well implemented.

Pemanfaatan Media Digital dalam Komunikasi Organisasi Penyelenggaraan Ibadah Haji di Sumatera Utara

This research aims to explore the benefits of using digital media in the context of organizational communication organizing the Hajj pilgrimage in North Sumatra. The focus of the research is on analyzing the role of digital media in various aspects of organizing the Hajj pilgrimage as well as evaluating the level of satisfaction felt by various related parties, such as prospective Hajj pilgrims, pilgrim families, organizing organizations and government stakeholders. The research method applied is a qualitative approach with data collection techniques through in-depth interviews, participatory observation and documentation studies. The collected data was analyzed thematically by coding and categorizing to identify main patterns and themes. The research results show that digital media has a significant role in disseminating information, internal coordination, training and guidance, service and support, as well as documentation and archives related to the implementation of the Hajj pilgrimage in North Sumatra. The use of digital media provides satisfaction for various parties by providing easy access to information, monitoring worship trips, efficient communication and coordination, as well as transparency and accountability. However, this level of satisfaction is influenced by factors such as accessibility, content quality, and ease of use of digital media. Therefore, this research provides recommendations for improving the quality and effectiveness of the use of digital media in organizational communications organizing the Hajj pilgrimage in North Sumatra.

Deep learning-powered visual place recognition for enhanced mobile multimedia communication in autonomous transport systems

The progress of autonomous transport systems (ATS) involves efficient multimedia communication for real-time data tradeoffs and environmental issues. Deep learning (DL) powered visual place recognition (VPR) was developed as an effective tool to improve mobile multimedia communication in ATS. VPR relates to the capability of a method or device to recognize and identify particular places or locations from the visual scene. This procedure involves inspecting visual data, like images or video frames, to control the unique features or features connected with diverse locations. By leveraging camera sensors, VPR allows vehicles to detect their surroundings, enabling context-aware communication and enhancing the entire system's performance. DL-empowered VPR offers a transformative manner to improve mobile multimedia communication in ATS. By identifying and understanding their situation, autonomous vehicles can communicate most effectively and operate reliably and safely, paving the way for a future characterized by seamless and intelligent transportation. This article develops a novel Deep Learning-Powered Visual Place Recognition for Enhanced Multimedia Communication in Autonomous Transport Systems (DLVPR-MCATS) methodology. The main aim of the DLVPR-MCATS methodology is to recognize visual places or not utilize optimal DL approaches. For this purpose, the DLVPR-MCATS approach utilizes a bilateral filtering (BF) based preprocessing model. For the feature fusion model, the DLVPR-MCATS approach follows three models: residual network (ResNet), EfficientNet, and MobileNetv2. Moreover, the hyperparameter tuning method uses the Harris Hawks Optimization (HHO) model. Finally, the bidirectional long short-term memory (BiLSTM) technique is implemented to recognize visual places. A wide range of simulations is executed to validate the solution of the DLVPR-MCATS method. The experimental validation of the DLVPR-MCATS method portrayed a superior performance over other models concerning various aspects.

Membangun Komitmen Aktivitas Karyawan Kelurahan Tegal Sari Mandala III Medan di Era Digital melalui Desain Komunikasi Organisasi yang Efektif

Abstract This research aims to investigate the role of technology and digital communication in building commitment to employee activities in Tegal Sari Mandala III Medan Village in the digital era through effective organizational communication design. Employee activity commitment is a key factor that influences organizational performance and success. However, the digital era brings new challenges in building employee commitment through changes in communication and interaction patterns in the work environment. Using a mixed quantitative and qualitative approach, this research combines surveys, in-depth interviews, and participant observation to collect data. The research results show that the effective use of digital communication technology, such as email, instant messaging applications, and online collaboration platforms, has a significant positive relationship with the level of employee activity commitment. The more effective the use of digital communication technology, the higher the level of affective, sustainable and normative commitment that employees have. This research also identified challenges in implementing digital communication technology and effective communication design, such as varying levels of digital literacy among employees. To overcome these challenges, organizations need to provide training and mentoring to employees, as well as adopt an integrated communication approach. In general, this research confirms that efficient organizational communication design, supported by the appropriate use of digital communication technology, can be a key factor in strengthening employee engagement in the digital era. Organizations that are able to optimize the potential of technology and digital communications well will have a competitive advantage in building a team of human resources that is qualified and has a high level of commitment.

ANALYZING COLLAGE AS A COMMUNICATION ACT IN THE DIGITAL AGE BASED ON THE DADAISM RENEWAL MOVEMENT'S SPIRIT

Collage combines the semiotic tradition of Roland Barthes, the phenomenological tradition of Edmund Husserl, the critical tradition of Karl Marx, and the point of view of Jurgen Habermas in visual communication. The collage technique creates trans-aesthetic elements and double codes, a Dadaist method of encoding signs. Building on previous research, this study explores collage art as a communication act and its process in the digital era. Digital photography technology and computer software facilitate quicker and easier creation of collage art, emphasizing the fundamental concept of "paste." This pasting-sticking process mirrors the communication process of art and design in the digital era, illustrating cyclical communication capable of transcending space and time. The research has several conclusions. (1) By enhancing visual communication strategies and efficiency based on the spirit of the Dadaism renewal movement, unique collages can be created as a personal sign of message(s). (2) Collages as communication act in the digital era represent dialogue in trans-aesthetics code. (3) On the other hand, with the spirit of Dadaism that contains a free mind, open creation, and emphasis on social-cultural issues, collages as a communication process are also possible to frame messages and create fallacy.

Artificial Intelligence in the Organization of Nursing Care: A Scoping Review.

The integration of artificial intelligence (AI) in the organization of nursing care has continually evolved, driven by the need for innovative solutions to ensure quality of care. The aim is to synthesize the evidence on the use of artificial intelligence in the organization of nursing care. A scoping review was carried out based on the Joanna Briggs Institute methodology, following the PRISMA-ScR guidelines, in the MEDLINE, CINAHL Complete, Business Source Ultimate and Scopus® databases. We used ProQuest-Dissertations and Theses to search gray literature. Ten studies were evaluated, identifying AI-mediated tools used in the organization of nursing care, and synthesized into three tool models, namely monitoring and prediction, decision support, and interaction and communication technologies. The contributions of using these tools in the organization of nursing care include improvements in operational efficiency, decision support and diagnostic accuracy, advanced interaction and efficient communication, logistical support, workload relief, and ongoing professional development. AI tools such as automated alert systems, predictive algorithms, and decision support transform nursing by increasing efficiency, accuracy, and patient-centered care, improving communication, reducing errors, and enabling earlier interventions with safer and more efficient quality care.

Design of a MIMO implantable antenna with ultra-miniaturized volume and reduced SAR

Abstract This paper presents an ultra-miniaturized skin implantable Multiple Input Multiple Output (MIMO) antenna for biotelemetry in the Industrial, Scientific, and Medical (ISM) band (2.4–2.48 GHz). The two-element configuration exhibits a compact planar volume of 4.5 × 6.2 × 0.25 mm³, with an edge-to-edge distance of 0.8 mm and a 75.85 % size reduction. Fabricated on a 0.25 mm thick Roger 10.2LM high permittivity substrate, the antenna achieves a Fractional Bandwidth (FBW) of 9.27 % and a realized gain of −28.2 dBi, with over 24.3 dB isolation across the entire band. Experimental results in multilayer animal tissue aligned well with simulations. Specific Absorption Rate (SAR) analysis at 1 W input power showed values of 848 W/kg (1-g) and 88.46 W/kg (10-g), yielding allowable input powers of 3.77 mW and 45.2 mW, respectively, adhering to international safety guidelines. The 2 × 2 element antenna demonstrated efficient communication over 7 m with a data rate of 78 Mbps/s. Multiple Input Multiple Output channel analysis revealed a Channel Capacity of 10.8 bps/Hz at a 20 dB SNR, nearly double that of an ideal Single Input Single Output system, making it suitable for high data rate skin-implantable applications.

Academic hospitalist perspectives on the benefits and challenges of secure messaging: A mixed methods analysis.

Hospitals and patients rely on effective clinician communication. Asynchronous electronic secure messaging (SM) systems are a common way for hospitalists to communicate, but few studies have evaluated how hospitalists are navigating the adoption of SM and the benefits and challenges they are encountering. The objective of this study is to assess academic hospitalist perspectives on SM to guide future research and quality improvement initiatives. This was a mixed methods study utilizing an embedded REDCap survey and six virtual semistructured focus groups. It took place during a Hospital Medicine ReEngineering Network Zoom meeting on October 13, 2023. Rapid qualitative methods were used to define major themes. There were 28 hospitalists and one patient representative across 24 separate academic institutions. There was a 71% survey completion rate (N = 20). SM was felt to be an effective and efficient communication modality but was associated with a large amount of multitasking and interruptions. Perspectives around SM clustered around three main themes: SM has been widely but variably adopted; there is a lack of institutional guidance about how to best engage with SM; and SM is changing the landscape of hospitalist work by increasing ease but decreasing depth of communication, increasing cognitive load, and changing interpersonal relationships. Recommendations for SM improvements included the need for institutions to work with frontline workers to develop and implement clear usage guidelines. SM is likely contributing to both positive and negative effects for clinicians and patients. Understanding hospitalist perspectives on SM will help guide future research and quality improvement initiatives.

Study on the modularization of project operations under the “oil company” model

Abstract A rational and efficient business management and operation model is a prerequisite for the smooth operation of an organization. This study aims to build an intensive and efficient business management model with the characteristics of the “oil company” model. Compared with the traditional business management model, the “oil company” model has significant advantages in terms of organizational structure, communication efficiency, work style and work efficiency, etc. Due to the compression of management levels and the shortening of business chains, the communication efficiency and work efficiency are higher, and the composition of personnel and work style are more flexible. Therefore, based on the theory of the “oil company” and on the idea of compressing management levels and shortening management chains, business management departments should be integrated, streamlined and optimized, and business chains should be sorted out.

Hybrid vehicular access protocol and message prioritization for real-time safety messaging

Real-time safety services rely on the exchange of messages to enhance the operations of connected and automated vehicles (CAVs). These safety messages convey vital information about traffic conditions, enabling drivers to take necessary measures to prevent accidents. The timely and reliable delivery of these messages is essential, necessitating efficient channel access. Vehicular Deterministic Access (VDA) is employed as a channel access scheme with distinct priorities and stringent timing guidelines, particularly for urgent safety warnings. In this paper, we propose a hybrid approach that combines VDA and Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocols, along with a message prioritization algorithm, to ensure efficient and reliable communication of safety messages in vehicular networks. Our approach leverages the strengths of both VDA and CSMA/CA to avoid message collisions; VDA is more efficient under high traffic loads, while CSMA/CA is better suited for low traffic loads. Additionally, the incorporation of the message prioritization algorithm ensures strict deadline guarantees for high-priority messages, such as Decentralized Environmental Notification Messages (DENMs). We evaluate our proposed solution using the Artery simulation framework. Our results show over a 93% delivery rate for DENM exchanges while maintaining low collision probability across various traffic loads. This research provides practical guidance for the development of efficient and reliable communication systems for CAVs. It also offers a detailed analysis of the trade-offs among different access protocols and message prioritization strategies in vehicular networks.

Performance evaluation framework of MQTT client libraries for IoT applications in manufacturing

The Internet of Things (IoT) is a revolutionary technology in the field of manufacturing that enables real-time data communication and control of various industrial sensors and devices. MQTT (Message Queuing Telemetry Transport) is one of the most popular communication protocols for IoT applications which offers lightweight, efficient, and reliable communication. There are several MQTT client libraries available for implementing MQTT communication for IoT applications. The selection of an appropriate client library can significantly impact the performance of an IoT application. This paper presents a performance evaluation framework for MQTT client libraries for IoT applications in the manufacturing industry. This paper aims to create a standardized virtual testing environment to compare the performance of different MQTT client libraries using various test conditions. It offers a structured and standardized methodology for evaluating performance aspects such as latency, scalability, and resource utilization. By systematically evaluating the performance of MQTT client libraries against these metrics, users can make informed decisions while selecting the most appropriate library for their IoT applications. The framework takes into consideration the unique requirements and constraints of manufacturing applications, such as the need for low-latency communication, secure data exchange, and compatibility with resource-constrained devices. Ultimately, this research contributes to the optimization of IoT applications in the manufacturing industry, facilitating the implementation of efficient, reliable, and scalable data communication.