Ideal Communication Research Articles

The Bright and Dark Sides of Sports Interpreting in Iraq: Football Interpreting as an Example

With the rapid increase in international matches, such as the Olympic Games, World Cup by FIFA, Arab or Gulf Cup events the demand for interpreting becomes very necessary, as through this activity players can connect with viewers around the world, this is on the one hand, and on the other, through which they can instantly obtain their instructions. After the war in 2003, the participation of Iraqi athletes in international competitions and the recruitment of foreign coaches flourish. This new situation urges policy designers to strategically plan to offer qualified interpreters to ensure ideal communication between the players and their coaches and between them and the international audience. The status quo, however, is very frustrating: the number of Iraqi qualified interpreters can relatively be visible (for the ordinary observers) as there are no specialized academic or non-academic institutions that offer the requirements. This lack has opened the door for non-professional interpreters to carry the task leading not only to fragmented communication but also to deform the perception of this profession. This study sheds light on this particular area. It solely adopts the participant-oriented method offered by Saldanha and O’brein (2013). The research instrument is a carefully-designed questionnaire which is presented to a sample of thirty professional interpreters. The study findings emphasize that the status quo of sports interpreting in Iraq is discouraging because of some obstacles, such as the absence of specialized interpreting training facilities and monitoring institutions.

PARENTS’ COMMUNICATION PATTERNS TOWARDS CHILDREN WITH MENTAL DISORDERS

Communication is a necessity or means of social interaction for human life. However, some individuals, such as mentally retarded children, experience difficulties in communicating due to various factors and environments. This study aims to understand the communication patterns used by parents in interacting with children who suffer from mental retardation. The method used is Systematic Literature Review to explore insights into parents' communication patterns towards mentally retarded children. The researcher collected, summarized, evaluated, interpreted and synthesized information from journals published between 2019-2024. The results showed that communication patterns used by parents can affect learning outcomes and behavioral changes in children with mental retardation. The ideal communication pattern is interpersonal communication that involves direct interaction and feedback between parents and children. Parents need to have extra patience in communicating with mentally retarded children, and communication must be done regularly so that communication development for children can run well. Based on the author's understanding, interpretation and evaluation of various existing journals, it turns out that the communication pattern most favored by mentally retarded children is through audio and video-based multimedia interactive media and gross and fine motor skills through the puzzle game method.

Privacy-preserving distributed frequency control for AC microgrids with constrained communication

Distributed control of AC microgrids is one of the most popular methods in the islanded operation mode. Whereas, most of the existing studies either do not consider the potential threat of privacy security or rely on the assumption of ideal communication networks. To this end, this paper presents a novel privacy-preserving distributed secondary frequency control strategy for the privacy protection problem of an islanded AC microgrid with constrained communication. The key contributions of this paper are threefold. (1) Different from the existing privacy-preserving approaches used in AC microgrids, a time-varying function is introduced to mask interactive information such that the frequency cannot be reconstructed by malicious attackers. (2) An event-triggered communication scheme is employed to cope with the constrained communication environment. (3) A privacy-preserving distributed event-triggered control strategy with communication delay is developed such that the frequency restoration and active power sharing of the microgrid are guaranteed. Moreover, the maximum communication delay that the proposed control can withstand is analyzed. Simulation results show the properties of the privacy preservation, the decrease of communication load, and the bounded communication delay allowed in the proposed control strategy.

Co-workers’ reactions to (Mis)Alignment between supervisors’ intentions and Co-workers’ perceptions of I-deal secrecy: An uncertainty management perspective

This study employs Uncertainty Management Theory (UMT) to explore how co-workers respond to supervisors’ communication about idiosyncratic deals (i-deals), specifically comparing secrecy and transparency. We suggest that co-workers’ perceptions of i-deal secrecy, as opposed to transparency, lead to uncertainty. Moreover, misalignment between co-workers’ perceptions and supervisors’ intentions regarding i-deal communication may create a second source of uncertainty. We propose that co-workers cope with this uncertainty by forming moral judgments about the i-deal communication, which subsequently relate to their trust in their supervisor and their turnover intentions. Data were collected from 27 supervisors and 224 co-workers across 27 teams, resulting in 224 matched co-worker-supervisor responses. Polynomial regressions reveal varying outcomes depending on the (mis)alignment between co-workers’ perceptions and supervisors’ intentions. Co-workers’ moral judgments, trust in their supervisor and turnover intentions are optimal when they perceive i-deal transparency, regardless of the supervisor’s intentions. These factors are suboptimal when co-workers’ perceptions of i-deal secrecy align with supervisors’ intentions, and detrimental when co-workers perceive i-deal secrecy while supervisors intend transparency. Our findings highlight the potential consequences of supervisors’ intentions for i-deal transparency, showing they can be positive or negative depending on co-workers’ perceptions. Moreover, supervisors’ intentions for i-deal secrecy are not necessarily problematic as long as co-workers perceive transparency. Yet, once secrecy intentions are revealed, suboptimal co-worker reactions occur.

The impact of message losses and retransmissions on quantum cryptographic protocols

Quantum cryptography promises information theoretic security of several cryptographic primitives. Most of the proposed security proofs work in an ideal communication scenario where all messages are correctly delivered after the first attempt. However, real networks are subject to message losses and require retransmissions to cope with them. While the latter is hardly ever a problem in classical cryptography, with quantum communication copy-and-retransmit could be impossible due to the famous no-cloning theorem. In this work, we analyze some quantum cryptoschemes such as public-key encryption, authentication and quantum money, assuming that quantum messages may be lost as they travel through the communication medium. Although all these schemes are theoretically secure, we show that this degree of realism renders some protocols insecure or impractical, while others are completely unaffected. When possible, we provide mitigations such as teleportation or protocol modifications to circumvent these challenges.

Sustainability strategy: Strengthening SDGs desa through CSR communication program

Purpose: This study aims to examine the sustainability strategy of Indocement Tunggal Prakarsa Cirebon West Java in implementing the sustainability commitment of Heidelbergcement Group 2030 (SC2030) which contains long-term commitments and targets of the group including the company until 2030. Research Methodology: This study used a qualitative case study approach. As a research instrument, I played an active role in collecting data through direct interaction with informants to conduct interviews and observations and analyze available documents. The object of research or social situations in this study focuses on the activities of people in a particular place. Results: The findings obtained from this study are that community empowerment programs implemented sustainably through Bilikom CSR are key elements in building national economic resilience. Through Bilikom's CSR, companies can achieve development goals at the village level. However, in practice, sustainability strategies become good neighbors through Bilikom's CSR programs, with occasional misperceptions in designing and implementing programs that have been prepared together. Limitations: The limitations of this study include social, environmental, and economic aspects. Contributions: This research is expected to contribute to the development of a new science. This research is also very useful for the government in developing and managing an ideal communication system to implement community empowerment programs Novelty: The novelty of this study is that strengthening SDGs in villages can create a positive impact in reducing economic inequality, improving the quality of life of the community, and supporting sustainable natural resource management.

Distributed Dispatching Optimization based on Consistency Theory for Smart Grid

Abstract The energy management issue of a smart grid is the key to the efficient and stable operation of a smart grid. Due to the large number of distributed energy sources connected, the centralized dispatch method is no longer applicable, and the smart grid uses distributed algorithms for dispatch. In this paper, based on modeling and analysis of the smart grid dispatch problem, the distributed dispatch algorithm is designed by combining the consistency theory in multi-intelligent body systems. First, the distributed scheduling algorithm is designed under ideal communication conditions. Then, the correctness of the algorithm is verified in the MATLAB simulation platform under two conditions without considering the generator set output constraint and considering the generator set output constraint. The analysis of the study simulation results shows that the optimal solution of the scheduling problem is obtained when the marginal costs of the generation equipment converge consistently.

Distributed secondary frequency control scheme with A-symmetric time varying communication delays and switching topology

A distributed control of a Microgrid (MG) depends on the communication network for the exchange of information among the Distributed Generators (DGs). Most of the control schemes consider ideal communication among the DGs; however, in practical systems, delays are inherited in a system that can affect the dynamic performance and even destabilize an MG. Therefore, in this research work, delay independent distributed secondary frequency control for MGs is presented. Sufficient delay independent conditions for robust stability of the buffer-free Distributed Averaging Integral (DAI) control scheme is proposed while considering A-symmetric time varying communication delays and switching network topology. Moreover, in this work, slow as well as fast varying delays are analyzed using Lyapunov Krasovskii and Lyapunov Razumikhin's approach. Furthermore, a Lyapunov function based adaptive control approach is employed that updates the constant gain parameters to compensate for the uncertain or varying parameters. Finally, the efficacy of the controller is demonstrated through simulation studies that validate its performance in different scenarios.

Method for predicting the lost input of iterative learning control systems over AWGN channels

This paper researches the method for predicting the lost input of iterative learning control (ILC) systems over additive white Gaussian noise (AWGN) channels. It directly takes into account a proportional ILC controller, which guarantees the convergence of objects under ideal communication conditions. By employing prior information on ILC controllers and AWGN channels, a state space model is built. According to this model and the innovation analysis theory, a predictor is developed for actuators to calculate the input transmitted by ILC controllers but lost in AWGN channels. Compared with the iteration compensation in existing literature, the proposed prediction compensation simultaneously guarantees the convergence accuracy and speed of ILC systems over AWGN channels. Numerical simulation demonstrates the usefulness of the developed prediction method.

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration

Communication stands as a potent mechanism to harmonize the behaviors of multiple agents. However, existing work primarily concentrates on broadcast communication, which not only lacks practicality, but also leads to information redundancy. This surplus, one-fits-all information could adversely impact the communication efficiency. Furthermore, existing works often resort to basic mechanisms to integrate observed and received information, impairing the learning process. To tackle these difficulties, we propose Targeted and Trusted Multi-Agent Communication (T2MAC), a straightforward yet effective method that enables agents to learn selective engagement and evidence-driven integration. With T2MAC, agents have the capability to craft individualized messages, pinpoint ideal communication windows, and engage with reliable partners, thereby refining communication efficiency. Following the reception of messages, the agents integrate information observed and received from different sources at an evidence level. This process enables agents to collectively use evidence garnered from multiple perspectives, fostering trusted and cooperative behaviors. We evaluate our method on a diverse set of cooperative multi-agent tasks, with varying difficulties, involving different scales and ranging from Hallway, MPE to SMAC. The experiments indicate that the proposed model not only surpasses the state-of-the-art methods in terms of cooperative performance and communication efficiency, but also exhibits impressive generalization.

Distributed Subgradient Method With Random Quantization and Flexible Weights: Convergence Analysis.

The distributed subgradient (DSG) method is a widely used algorithm for coping with large-scale distributed optimization problems in machine-learning applications. Most existing works on DSG focus on ideal communication between cooperative agents, where the shared information between agents is exact and perfect. This assumption, however, can lead to potential privacy concerns and is not feasible when wireless transmission links are of poor quality. To meet this challenge, a common approach is to quantize the data locally before transmission, which avoids exposure of raw data and significantly reduces the size of the data. Compared with perfect data, quantization poses fundamental challenges to maintaining data accuracy, which further impacts the convergence of the algorithms. To overcome this problem, we propose a DSG method with random quantization and flexible weights and provide comprehensive results on the convergence of the algorithm for (strongly/weakly) convex objective functions. We also derive the upper bounds on the convergence rates in terms of the quantization error, the distortion, the step sizes, and the number of network agents. Our analysis extends the existing results, for which special cases of step sizes and convex objective functions are considered, to general conclusions on weakly convex cases. Numerical simulations are conducted in convex and weakly convex settings to support our theoretical results.

Fast Local Rules Based Switching and Routing Within Multidimensional Torus Interconnect

Multidimensional torus networking topology has become widespread recently in the domain of high-performance computers, clusters, and grids, as well as in the domain of networks on chip. Torus represents an ideal communication structure with the shortest distance and multitude of alternative shortest paths between a pair of nodes. We study simple and powerful local packet forwarding (switching) rules that provide packet delivery with quasi-optimal load balancing and do not use tables of addresses (routes). Implementation of these rules in the form of micro-program code within switching nodes increases considerably network performance, security, and QoS. We use infinite Petri nets and reenterable models in the form of colored Petri nets for prototyping the multi-dimensional torus interconnect simulator to study and compare the packet forwarding rules. Then, an ad-hoc simulator of torus interconnect ts is implemented in the C language to provide high performance and the possibility of simulation over prolonged intervals of time. The simulation results acknowledge the advantages of local packet forwarding rules.

Towards efficient IoT communication for smart agriculture: A deep learning framework.

The integration of IoT (Internet of Things) devices has emerged as a technical cornerstone in the landscape of modern agriculture, revolutionising the way farming practises are viewed and managed. Smart farming, enabled by interconnected sensors and technologies, has surpassed traditional methods, giving farmers real-time, granular information into their farms. These Internet of Things devices are responsible for collecting and sending greenhouse data (temperature, humidity, and soil moisture) for the required destination, to provide a comprehensive awareness of environmental factors critical to crop growth. Therefore, ensuring that the received data are accurate is a challenge, thus this paper investigates the optimization of Agriculture IoT communication, proposing a complete strategy for improving data transmission efficiency within smart farming ecosystems. The proposed model intends to maximize energy efficiency and data throughput in the context of essential agricultural factors by using Lagrange optimization and a Deep Convolutional Neural Network (DCNN). The paper focus on the ideal communication required distance between IoT sensors that measure humidity, temperature, and water levels and central control systems. The investigation emphasizes the critical necessity of these data points in guaranteeing crop health and vitality. The proposed technique strives to improve the performance of agricultural IoT communication networks through the integration of mathematical optimization and cutting-edge deep learning. This paradigm change emphasizes the inherent link between precise achievable data rate and energy efficiency, resulting in resilient agricultural ecosystems capable of adjusting to dynamic environmental conditions for optimal crop output and health.

Plakátok diskurzusban. A 2015-ös bevándorlási hullám propagandaplakátjainak és ellenplakátjainak párbeszéde

The study presents the manipulation strategies of the government billboards created in connection with the immigration wave of 2015, the counter-posters created in response to them, and internet memes. The government billboards mainly tried to influence the receivers by means of communicating information without any communicative intent and masquerading as advertising for a social purpose, and used established methods of propaganda. Taking advantage of referential intertextuality, the counter-billboards took over the visual representation of national consultation works, and achieved surprise on the content level: with ironic texts, they intentionally violated the principles of ideal communication and the rules of arguments. Due to the circumstances of their reception, the memes that spread on the Internet used typological intertextuality, and in addition to verbal irony, word-based visual irony was also used to express a critical attitude.

A Pragmatic Study on Primary School English Textbooks in Mainland China

English pragmatic competence in primary schools of mainland China has received increasing attention and the related issues have become popular research topics, but most former studies are limited to classroom teaching and particularly few on English textbooks of primary school. This study makes a pragmatic evaluation on the current primary school English textbooks in mainland China by taking a set of popular textbooks as an example. Adopting Cooperative Principle as theoretical frame, it mainly investigates and analyzes the conversational interactions in the textbooks, and the statistics shows that the textbooks generally conform to Grice’s “idealized communication model”, but there still exist many “odd” utterances which violate the maxims of Cooperative Principle, especially the Q-maxim and the M-maxim, while do not produce any conversational implicature in Grice’s sense. It thus concludes the pragmatic features of the textbook as “low naturalness”, “singularity in type” and “weak culturality”. This study is expected to act as a move for further research in this domain and a call on further improving the pragmaticity of primary school English textbooks in mainland China.

A Comprehensive Investigation of Beam Management Through Conventional and Deep Learning Approach

5G spectrum uses cutting-edge technology which delivers high data rates, low latency, increased capacity, and high spectrum utilization. To cater to these requirements various technologies are available such as Multiple Access Technology (MAT), Multiple Input Multiple Output technology (MIMO), Millimetre (mm) wave technology, Non-Orthogonal Multiple Access Technology (NOMA), Simultaneous Wireless Information and Power Transfer (SWIPT). Of all available technologies, mmWave is prominent as it provides favorable opportunities for 5G. Millimeter-wave is capable of providing a high data rate i.e., 10 Gbit/sec. Also, a tremendous amount of raw bandwidth is available i.e., around 250 GHz, which is an attractive characteristic of the mmWave band to relieve mobile data traffic congestion in the low frequency band. It has a high frequency i.e., 30 – 300 GHz, giving very high speed. It has a very short wavelength i.e., 1-10mm, because of this it provides the compact size of the component. It will provide a throughput of up to 20 Gbps. It has narrow beams and will increase security and reduce interference. When the main beam of the transmitter and receiver are not aligned properly there is a problem in ideal communication. To solve this problem beam management is one of the solutions to form a strong communication link between transmitter and receiver. This paper aims to address challenges in beam management and proposes a framework for realization. Towards the same, the paper initially introduces various challenges in beam management. Towards building an effective beam management system when a user is moving, various steps are present like beam selection, beam tracking, beam alignment, and beam forming. Hence the subsequent sections of the paper illustrate various beam management procedures in mmWave using conventional methods as well as using deep learning techniques. The paper also presents a case study on the framework's implementation using the above-mentioned techniques in mmWave communication. Also glimpses on future research directions are detailed in the final sections. Such beam management techniques when used for mmWave technology will enable build fast, efficient, and capable 5G networks.

Quality of breaking bad news to patients diagnosed with neoplasia of the uterine cervix

ObjectiveLittle is known about the quality of receiving bad news (BN) for women diagnosed with cervical neoplasia. We evaluated adherence to the SPIKES protocol in three cohorts of women with different stages of the disease and treatment modalities.Patients and methodsWe included women with cervical cancer who underwent radical vaginal trachelectomy (RVT group, n = 110), radical hysterectomy or chemo-radiation (HE/RCT group, n = 101), and women with CIN 3 treated by loop excision (CIN group, n = 108). We asked the participants about how they received the bad news delivery in reality and how they would envision an ideal communication process based on the main items of the SPIKES protocol. The participants filled out a questionnaire with 38 items of the Marburg Breaking Bad News (MABBAN) Scale representing the six SPIKES subscales.ResultsOnly 72% of all patients reported being satisfied with their BBN experience. The following factors were considered important by 90% of the patients: an undisturbed atmosphere, taking enough time, coherent explanation of the disease, and the possibility to ask questions. However, the reality of their experiences fell significantly short of their expectations. Asking about the patient’s knowledge of the disease, addressing their concerns, allowing them to show emotions, providing clarity about the change in quality of life, informing them about alternative therapies, and involving them in further planning were also significantly lacking in the actual BBN encounters compared to the patients’ preferences. The experience of RVT patients was more negative compared to the HE/RCT patients (p = 0.036). The CIN patients had an overall satisfactory impression (p < 0.0001).ConclusionThe process of breaking bad news in German women diagnosed with cervical neoplasia requires substantial improvement. The SPIKES protocol can be used as a guideline for enhancement but should be supplemented by incorporating a second consultation as the norm rather than the exception. Continuous monitoring and improvement of the quality of BBN is recommended for all oncologic institutions, utilizing the MABBAN questionnaire as a valuable tool.

The Role of Business Communication on the Systematised Operations of Business Ventures: A Comprehensive Review

The exchange of ideas, information, or instructions is a fundamental feature of all organisations. This exchange of information may take place between different sections or departments or externally with other organisations. In the context of business communication, the identification of how this process operates most effectively and what essential elements are involved in the process for the sole purpose of enhancement of business activities and profit-making is vital. Still, most of the companies in the business sector have failed to pay due recognition for communication practices which have resulted in inefficiency in operations. The goal of this review study is to identify areas and highlight and explain the importance of good communication in the management process and business growth. The study is a review of literature that adopts qualitative research methodology and with secondary data. In this paper, the review of literature related to business communication has identified the necessity of maintaining an ideal communication protocol within and outside of the organization. The role of business communication is better understood through the identification of functions of key elements such as sender, business information, receiver, and feedback. Further, the role of communication in the business context is better understood through the identification and adaptation of the ideal type or mixture of types of communication: upward, downward, lateral/horizontal, and external. The study has also identified the enhancement of communication practices with the help of digital ICT technologies.

Cluster-Factors of Mobile Sensor Network Technology for Security Enhanced PEGASIS

Mobile wireless sensor networks (MWSNs) have been a hot topic of research, and numerous routing methods have been developed to increase energy efficiency and extend longevity. Nodes close to the sink often use more energy to transmit data from their neighbors to the sink, which causes them to run out of energy faster. These places are also referred to as rendezvous points, and choosing the best one is a hard task. The likelihood of choosing an ideal node as the rendezvous point will be extremely low because hierarchical algorithms only use their local information to select these places. The warm spot problem is addressed from four angles in this work using the Enhanced Power-Efficient Gathering in Sensor Information Systems (EPEGASIS) technique. In order to limit the amount of energy used during transmission, the ideal communication distance is first calculated. To balance the energy consumption among the nodes, mobile sink technology is employed once a threshold value is set to safeguard the dying nodes. The node can then modify its communication range based on how far away the sink node is from it. Thorough testing has been done to demonstrate that our suggested EPEGASIS works better in terms of longevity, drive usage, and web latency.

Distributed Optimal Power Flow in Unbalanced Distribution Grids With Non-Ideal Communication

The use of distributed optimization for solving optimal power flow (OPF) problems in distribution networks is increasing as the number of controllable devices and the span of service areas increase. However, the performance of the distributed optimization algorithm largely depends on the availability and quality of communication links between the computing entities. In this paper, we evaluate the performance of the alternating direction method of multipliers (ADMM) for solving the OPF problem for volt-VAr optimization (VVO) under non-ideal communication. The overall problem is formulated by considering the unbalanced operation of multi-phase distribution networks. The algorithm's performance is first analyzed, assuming there is an ideal communication between computing entities, which serves as a benchmark for further analysis. Then, two non-ideal communication models, namely (1) sporadic communication failure and (2) communication under a noisy transmission, are applied to the information exchange architecture of the ADMM. Extensive numerical experiments are conducted with two test systems, the IEEE 123-bus feeder and a 2522-bus network scaled down from the IEEE 8500-bus system; these are used to evaluate the performance of the algorithm. The results indicate that the ADMM-based distributed VVO algorithm has deteriorated performance under high levels of communication failure and high levels of noise injection. Additionally, although the centralized-VVO counterpart has some computational superiority when the overall problem is convex and no communication impairments exist, the distributed-VVO has superior immunized solution performance under realistic communication constraints.