Communication Operations Research Articles

Review on HF Band Vehicular Antenna with NVIS Communication

Antennas play a fundamental role in modern communication systems by facilitating signal transmission and reception across various frequency bands. Each antenna is designed for specific applications based on its operating frequency range. Whether deployed for Car-to-Car Communication or military operations, antennas serve critical functions, with information security being paramount in military contexts. Vehicular antennas typically operate within the L Band, approximately 1 to 2 GHz, relying on satellites for signal communication. However, traditional transmission through the ionosphere faces limitations, notably the skip zone, where signal reception is hindered, leading to communication failures. To address this limitation, Near Vertical Incident Skywave (NVIS) communication has been developed. NVIS utilizes antennas with very high (> 75°) radiation angles and low HF frequencies to overcome skip zone challenges. Despite existing research efforts, achieving high radiation efficiency remains a challenge, often due to improper antenna angle settings. Additionally, previous studies have overlooked the importance of narrow beam focusing, crucial for long-range communication and direction finding. This paper aims to enhance antenna performance parameters such as efficiency and gain through the adoption of specific techniques. By optimizing antenna design and configuration, we aim to improve performance for ionospheric communication, particularly in military applications involving data and voice transmission.

Devising a method for integrated dataset formation and selecting a model for recognizing the technical condition of unmanned aerial vehicle

The object of this study is the process of forming a training dataset for diagnosing the technical condition of unmanned aerial vehicles (UAVs) using machine-learning algorithms. UAV flights are extremely important for various aspects of troop deployment. Combat UAV flights are performed under the influence of negative factors that cause flight special cases (FSC), which hinder the execution of combat missions, lead to mission failures, and result in the aircraft damage or loss. The available capabilities of autopilots are not enough for control under complex conditions, and in certain situations, the human operator cannot timely recognize a flight special case, including evaluation of the destructive impact of enemy’s electronic warfare systems on communication channels and operation of UAV. Therefore, the urgent issue is the intellectualization of onboard control systems, particularly towards recognizing the current technical state of UAV using artificial intelligence methods. To design such systems, labeled datasets are required. The procedure for forming datasets that consider the specificity of UAV construction and their combat use under adversarial conditions is not defined, necessitating the development of an appropriate method. Based on the well-known CRISP-DM methodology, a method for dataset formation has been proposed for subsequent use in artificial intelligence systems that use various machine-learning methods. This method differs from existing ones by considering the specificity of combat mission execution under adversarial conditions, which allowed for an 8.0 % increase in the accuracy of recognizing special cases in UAV flights by the onboard system. It also enabled timely detection of electronic warfare impacts on UAV and evaluation of the effectiveness of radio signal receivers jamming

A low-profile wideband meta-surface based microstrip antenna for 5G wireless communications

This article presents a low-profile meta surface microstrip radiator operating at 34 GHz with high performance for the operation of 5G wireless communications. The meta-surface radiator entails an improved patch that is present between the 4 × 4 proportioned square ring meta-surface and a ground plane. Initially, the rectangular slot of the patch would be aligned to improve the inherent narrow bandwidth. But the multifunctional properties of the proposed meta surface antenna with a convinced operating frequency increases the functionality and size of the network. Moreover, this paper outlines how the unit cell meta surface is implemented as a superstrate with a single U-slot for a rectangular patch antenna. The proposed antenna is simulated and measured on FR4 epoxy substrate material with a modified patch with a specific air-gap yields an overall antenna size of 1.36λ0 × 1.36λ0 × 0.1818λ0 especially to operate at 34 GHz resonating frequency. The results demonstrate that the meta surface radiator can achieve a wide-bandwidth range from 28 to 41 GHz for S11 with a return loss of 60 dB along with a maximum valued gain of 10dBi with a 3 dB AR bandwidth.

"Problematic Hospital Architecture: Ensuring the Stable Operation of Wireless Communication"

"Problematic Hospital Architecture: Ensuring the Stable Operation of Wireless Communication"

Automated Verification of Parametric Channel-Based Process Communication

A challenge of writing concurrent message passing programs is ensuring the absence of partial deadlocks, which can cause severe memory leaks in long running systems. Several static analysis techniques have been proposed for automatically detecting partial deadlocks in Go programs. For a large enterprise code base, we found these tools too imprecise to reason about process communication that is parametric, i.e., where the number of channel communication operations or the channel capacities are determined at runtime. We present a novel approach to automatically verify the absence of partial deadlocks in Go program fragments with such parametric process communication. The key idea is to translate Go fragments to a core language that is sufficiently expressive to represent real-world parametric communication patterns and can be encoded into Dafny programs annotated with postconditions enforcing partial deadlock freedom. In situations where a fragment is partial deadlock free only when the concurrency parameters satisfy certain conditions, a suitable precondition can often be inferred. Experimental results on a real-world code base containing 583 program fragments that are beyond the reach of existing techniques have shown that the approach can verify the absence of partial deadlocks in 145 cases. For an additional 228 cases, a nontrivial precondition is inferred that the surrounding code must satisfy to ensure partial deadlock freedom.

Design and Operation of IoT System and Power Communication with Digital Twin Technology

Abstract This paper explores how to integrate digital twin technology into IoT system design to achieve more efficient monitoring and maintenance of power communication networks. By introducing digital twin technology, the real-time performance and accuracy of embedded systems in power communication are enhanced, providing strong data support and simulation environments for predictive maintenance and fault diagnosis. This paper combines theoretical research with practical applications to propose an embedded IoT system design based on the ARM9 platform and verifies its effectiveness in power communication networks. In the testing phase, the ARM9-based IoT system demonstrated a processing speed 15% faster than previous designs, with a latency reduction of 18% in communication processes. These enhancements contribute to the overall efficiency and reliability of power communication networks.

Impact of Fortified Yogurt on Micronutrient Deficits: A Survey on Food Security and Health in the Northeast of Iran

Background: Millions of people’s access to food is threatened by the prevalence of micronutrient deficiencies in food, particularly in low- and middle-income nations. Objectives: The aim of this study was to evaluate the socio-economic impact of fortified food products on improving the food security of consumers in these regions. Methods: This study examined the use of popular products, such as yogurt fortified with inactive baker’s yeast, from April 2023 to December 2023. A questionnaire was developed using a descriptive–inferential approach grounded in practical research. Results: The factors of expertise, level of education, and gender significantly influenced the enhancement of food security. Approximately 88% of the variations in food security enhancement factors were attributed to acceptance and consumption, food safety and health, and financial capability and pricing. Among these factors, the acceptance index made the greatest contribution to improving food security. Conclusions: Specialized communication and information operations are urgently needed in this area, considering the limited knowledge consumers have about the health effects of newly introduced fortified foods. Therefore, by addressing current shortcomings, this study can help planners, policymakers, and producers of fortified food items increase the demand for fortified goods and improve national food security.

An Attribute-Based End-to-End Policy-Controlled Signcryption Scheme for Secure Group Chat Communication

Secure instant communication is an important topic of information security. A group chat is a highly convenient mode of instant communication. Increasingly, companies are adopting group chats as a daily office communication tool. However, a large volume of messages in group chat communication can lead to message overload, causing group members to miss important information. Additionally, the communication operator’s server may engage in the unreliable behavior of stealing information from the group chat. To address these issues, this paper proposes an attribute-based end-to-end policy-controlled signcryption scheme, aimed at establishing a secure and user-friendly group chat communication mode. By using the linear secret sharing scheme (LSSS) with strong expressive power to construct the access structure in the signcryption technology, the sender can precisely control the recipients of the group chat information to avoid message overload. To minimize computational cost, a signcryption step with constant computational overhead is designed. Additionally, a message-sending mechanism combining “signcryption + encryption” is employed to prevent the operator server from maliciously stealing group chat information. Rigorous analysis shows that PCE-EtoE can resist adaptive chosen-ciphertext attacks under the standard model. Simulation results demonstrate that our theoretical derivation is correct, and that the PCE-EtoE scheme outperforms existing schemes in terms of computational cost, making it suitable for group chat communication.

Efficient Secure Mechanisms for In-Vehicle Ethernet in Autonomous Vehicles

The integration of external devices and network connectivity into autonomous vehicles has raised significant concerns about in-vehicle security vulnerabilities. Existing security mechanisms for in-vehicle bus systems, which mainly rely on appending authentication codes and data encryption, have been extensively studied in the context of CAN and CAN-FD buses. However, these approaches are not directly applicable to Ethernet buses due to the much higher data transmission rates of Ethernet buses compared to other buses. The real-time encryption and decryption required by Ethernet buses cannot be achieved with conventional methods, necessitating an acceleration in the speed of cryptographic operations to match the demands of Ethernet communication. In response to these challenges, our paper introduces a range of cryptographic solutions specifically designed for in-vehicle Ethernet networks. We employ an AES-ECC hybrid algorithm for critical vehicle control signals, combining the efficiency of AES with the security of ECC. For multimedia signals, we propose an improved AES-128 (IAES-128) and an improved MD5 (IMD), which improve encryption time by 15.77%. Our proposed security mechanisms have been rigorously tested through attack simulations on the CANoe (version 10) platform. These tests cover both in-vehicle control signals, such as braking and throttle control, and non-critical systems like multimedia entertainment. The experimental results convincingly demonstrate that our optimized algorithms and security mechanisms ensure the secure and reliable operation of real-time communication in autonomous vehicles.

Comparative Study Between the OSI Model and the TCP/IP Model: Architecture and Protocols in Computer Networking Systems

In the world of computing and networking, it is critical to understand the theoretical framework that underlies data communication to ensure the best performance and compatibility between various systems. Both the Open Systems Interconnection (OSI) and Transmission Control Protocol/Internet Protocol (TCP/IP) models offer a comprehensive perspective on how the entire communication operation is separated into various layers, with each layer assigned particular roles and functions. This paper compares the OSI and TCP/IP models in terms of the functionalities and responsibilities of the various layers in each model, with an emphasis on how these layers work together to ensure effective and robust network communications. The paper covers encapsulating and decapsulating processes, managing sessions, and ensuring reliable data transmission. The TCP/IP model focuses on practical application with four main layers, while the OSI model has seven detailed layers that provide a theoretical and structured approach. The goal of both models is reliable and standardized communication, which in turn promotes interoperability in a variety of network environments.

Hybrid Approach to Mitigate Errors in Linear Photonic Bell-State Measurement for Quantum Interconnects

Optical quantum information processing relies critically on Bell-state measurement, a ubiquitous operation for quantum communication and computing. Its practical realization involves the interference of optical modes and the detection of a single photon in an indistinguishable manner. Yet, in the absence of efficient photon-number-resolution capabilities, errors arise from multiphoton components, decreasing the overall process fidelity. Here, we introduce a hybrid detection scheme for Bell-state measurement, leveraging both on-off single-photon detection and quadrature conditioning via homodyne detection. We derive explicit fidelities for quantum teleportation and entanglement-swapping processes employing this strategy, demonstrating its efficacy. We also compare with photon-number-resolving detectors and find a strong advantage of the hybrid scheme in a wide range of parameters. This work provides a new tool for linear-optics schemes, with applications to quantum state engineering and quantum interconnects. Published by the American Physical Society 2024

Perturbation Detection in Space-based Human-Machine Teams (HMTs) in Different Layers

This study focuses on detecting unique and complex challenges of Human-Machine Teaming (HMT) in space missions, where coordination among humans, robots, and AI agents is critical. Such missions are beset by “perturbations”—unexpected challenges involving communication delays due to the vast distances separating team elements. These issues must be overcome to maintain the safety and effectiveness of space-based missions. This study conducted engineering tests to evaluate the impact of perturbations on communication and vehicle operations and the physiological state of the humans involved. It outlines an experimental scenario involving various space entities (e.g., lunar colonies; orbiters; rovers) to simulate space mission conditions and communication and coordination challenges. The study employs layered dynamics methods to detect perturbations in technological and cognitive team states across the mission, using sensors and information entropy as key analytical tools.

Solar Wind‐Magnetosphere Coupling Efficiency and Its Dependence on Solar Activity During Geomagnetic Storms of 23–24 Solar Cycles

AbstractSpace weather forecasts are of utmost importance in safeguarding navigation, communication, and electric power system operations, satellites from orbital drag, and the astronauts in the International Space Station from hazardous space radiation during extreme space weather conditions. The finest space weather prediction requires a clear understanding of solar wind‐magnetosphere coupling. The in‐situ measurements of the solar wind properties give unique information about the Sun and its activity on smaller to longer timescales. The present work investigates the influence of solar activity on the coupling of solar wind and Earth's magnetosphere during 23–24 solar cycles. The geomagnetic storms with Symmetric H‐component (SYMH) ≤ −85 nT during the 23–24 solar cycles are considered. We present the results of statistical analysis and relationships between the various solar wind parameters such as the total strength of interplanetary magnetic field (B) and its three‐axis components (Bx, By, and Bz), solar wind proton density (Nsw), solar wind speed (Vsw), SYMH indices, the amplitude, duration, and profile of the geomagnetic storms. The integrated electric field and integrated SYMH index during storms show the highest correlation of 0.92, implying that integrated SYMH is a better proxy of the injected solar wind energy in the magnetosphere in the form of the ring current. Moreover, we do see the difference in the solar wind‐magnetosphere coupling efficiency during the phases of 23–24 solar cycles which is intriguing.

Analysis of the access to electronic communications metadata for the purposes of criminal law enforcement in Bosnia and Herzegovina

Objective: This research intended to analyse the adequacy of the legal frameworks of the access to electronic communications metadata in Bosnia and Herzegovina for the purposes of law enforcement with the current Law of the European Union, an essential topic for balancing the effectiveness of criminal investigations with the fundamental rights of citizens in the current connected societies, moreover as the negotiations for accession are currently ongoing. Methodology: The Comparative Method of Legal Research, in the strict sense, was mostly followed, also taking into consideration the Case Law of the Court of Justice of the European Union and the privacy and data protection policies of the main electronic communications operator in Bosnia and Herzegovina. Results: After identifying and evaluating in detail the main issues arising from the current national legislation of Bosnia and Herzegovina, this research shows that, in general terms, it is already compatible with the rules and principles in force in the European Union, following the case-law of its Court of Justice. Contributions: The research puts into evidence the current state of the Sources of Law in Bosnia and Herzegovina and how they are adjusting to the standards of the European Union, especially regarding privacy and data protection in electronic communications, as well as points out the necessary legislative initiatives in order to achieve a full compliance of criminal investigations with such standards, that may serve as guidelines for the other countries also in accession processes.

Analysis of Disaster Risk Communication Strategies in the Disaster-Resilient Village Program in Sidomulyo Flower Tourism Village By BPBD Batu City

Disaster risk communication is an important thing to convey to the public so that they can recognize the potential and threats of disaster risk in the surrounding area. This research aims to analyze disaster risk communication strategies in the Disaster Resilient Village Program which has been carried out by the Batu City BPBD in the Sidomulyo Flower Tourism Village. This research uses a qualitative approach with a case study method to explore the communication strategies implemented to increase awareness and disaster preparedness among the people of Sidomulyo Flower Tourism Village. Data collection was carried out through observation, in-depth interviews and documentation studies. The research results show that the disaster risk communication strategy can be said to be effective because it is accurate and open. However, the Batu City BPBD is unable to reach all levels of society and has not established relationships with conventional media. This has been explained using five critical assumptions by Haddow and Haddow (2014), namely Customer Focus, Leadership Commitment, Inclusion of Communication Planning and Operations, Situational Awareness, and Media Partnership.

Utilizing the LightGBM algorithm for operator user credit assessment research

Mobile Internet user credit assessment is an important way for communication operators to establish decisions and formulate measures, and it is also a guarantee for operators to obtain expected benefits. However, credit evaluation methods have long been monopolized by financial industries such as banks and credit. As supporters and providers of platform network technology and network resources, communication operators are also builders and maintainers of communication networks. Internet data improves the users credit evaluation strategy. This paper uses the massive data provided by communication operators to carry out research on the operators user credit evaluation model based on the fusion LightGBM algorithm. First, for the massive data related to user evaluation provided by operators, key features are extracted by data preprocessing and feature engineering methods, and a multi-dimensional feature set with statistical significance is constructed; then, linear regression, decision tree, LightGBM, etc. The machine learning algorithm builds multiple basic models to find the best basic model; finally, integrates Averaging, Voting, Blending, Stacking and other integrated algorithms to refine multiple fusion models, and finally establish the most suitable fusion model for operator user evaluation.

Investigation on situation awareness model of unmanned aerial vehicle groups communication network based on adversarial network

With the widespread application and development of unmanned aerial vehicle (UAV) technology, ensuring the security and stability of UAV swarm communication networks has become crucial. Given the diverse forms of interference and attacks in current networks, this poses a serious threat to the normal operation of UAV swarm communication. Therefore, how to accurately identify and effectively counter these network threats has become the focus of research. This study comprehensively evaluates the core technology of UAV swarm communication network situational awareness and constructs a situational awareness model based on adversarial networks. The model utilizes adversarial network technology and combines data collection and processing to design four experiments to comprehensively evaluate the performance of the model in different scenarios. The experimental results show that as the amount of data gradually increases, the performance of the model also improves. When processing 100, 1000, and 10,000 data points, the model achieved accuracies of 0.955, 0.962, and 0.982, respectively. Furthermore, the experimental results also indicate that effective noise suppression measures can significantly improve the accuracy and stability of the situational awareness model. Additionally, it is noted that different model structures will affect training duration, accuracy, and stability. Although increasing network scale may lead to increased computational complexity and latency, its accuracy is correspondingly improved. The adversarial network-based situational awareness model proposed in this study can accurately identify and effectively counter interference and attacks in UAV swarm communication networks, thereby providing solid protection for the collaborative combat and information sharing of UAV swarms.

Advanced Servo Control and AI Integration in 3-DoF Platforms for Enhanced Simulation Interactivity

This paper proposes a new approach to enhance the realism and interactivity of shooting simulation systems by integrating a three-degree–of–freedom (3-DoF) platform with sensory and interactive elements, as well as digital content. The system employs visual effects computers and servo controls, utilizing network packet messages for communication based on different scene definitions. When the control handle sends commands, the visual effects computer transmits control parameters to the image generator. Additionally, AI-controlled aircrafts act as enemy planes, autonomously determining flight paths, tracking targets, and engaging in combat, thereby enhancing realism in interactive mechanisms. An iterative learning control (ILC) is designed to provide the platform with good dynamic response, load capacity, and tracking ability when operated by a manual control handle. The core control uses a TMS320F28377D digital signal processor from Texas Instruments, integrated with visual effects computers for three-axis control, controller computation, finite state machines, and network communication operations. Experimental results demonstrate the feasibility and effectiveness of the developed three-axis shooting platform, achieving immersion and coordination with AI enemy aircrafts.

An organizational sustainability framework for Latin American Catholic schools in the La Salle network. A cross-national study using structural equations modeling

PurposeThis study aims to address the challenge of sustainability in Catholic schools quantitatively, even more so knowing that there are few systematized and quantitatively elaborated approaches that help to determine their sustainability dimensions. Therefore, this study aims to estimate the structural relationships of organizational sustainability in primary and secondary religious schools in Latin America based on the substantive functions of the school, such as care, upbringing and education from an organizational approach.Design/methodology/approachDeductive reasoning was used. In the preliminary phase, data were extracted from 420 educational leaders of primary and secondary schools in Latin America from the Lasallian Network, leading a school population of 200,500 students and impacting 166 schools; these previous results were again contrasted with the forthcoming literature with research from the Ramon Llull University, Barcelona, Spain, to achieve the sustainability framework, which has an endogenous variable called the school organizational sustainability framework.FindingsThe results reveal four dimensions of the first-order structural model: management, association, communication, well-being and curriculum, And eight second-order dimensions: governance, communication, resources, secular association, secular partnership, health, social commitment, and campus operation. The investigation results show that secular association and well-being are two dimensions that are constituted as the main elements of a sustainability framework for this type of organization.Research limitations/implicationsThe Catholic school has specific dimensions that need to be cared for with special attention, such as association, which comes from the laity and comes from the experience of the religious. In addition to this vital dimension, well-being, constituted as care for the people of the community, as care for all, is connatural to the religious school. Still, it is constituted by an edge that completes it, and that is the concern for the well-being of those outside regarding social justice. A limitation in the pretension of totality is that the study is conducted in a small portion of Catholic schools in Latin America.Practical implicationsA practical impact in the schools investigated is to present this sustainability framework as a reference to incorporate these dimensions as a strategy to bet on sustainability. Although the realities and contexts of the Latin American school are very different, some factors can impact low-income schools and schools with more significant financial resources if they are strengthened and worked on with dedication. In addition, this framework can lead to roads and the construction of indicators within the school, which can measure the sustainable commitment of the whole school. Finally, a clear finding of the framework is the need for good governance processes related to leadership and leaders' commitment to school-wide sustainability.Social implicationsThe present study impacts the depth that the proposal of the global educational pact can reach in the reality of Catholic schools in Latin America. The seriousness with which its leaders take the issue of sustainability from this perspective can contribute to the sustainability of life itself.Originality/valueThe originality of this research is that it constitutes the first Sustainability framework in Latin America in Catholic schools from an organizational approach.

Simplifying security processes in large organizations while maintaining an appropriate level of security

This paper presents an approach to simplifying security in large organizations, ensuring that the work of ordinary employees is more accessible without negatively impacting the organization's security. Access to the Internet is becoming increasingly important in various aspects of human life, including interpersonal communication, professional work, and business operations. Enterprises have digitized information on their devices, which can be of interest to attackers. Incorrect security measures can expose companies to various losses, such as financial costs or image losses. As the number of enterprises connected to the Internet grows, IT system security is gaining importance. Cyberattacks are malicious actions by individuals or organized groups with motives such as financial gain, employee dissatisfaction, or government interference. Attackers aim to access financial data, customer lists, financial data, and customer databases. Cybersecurity should be the basis of every organization, regardless of its size. The number of attacks each year is related to increased investments in cybersecurity strategies and focusing on finding and stopping hackers. Information security protects information to prevent unauthorized access, use, and disclosure. It includes implementing policies and procedures to protect information and prevent data loss or theft. However, implementing security measures can be challenging for ordinary employees, leading to decreased security.