Communication Scene Research Articles

Open-set Communication Scene Recognition Based on Metric Learning

Abstract In this paper, we study the problem of recognizing communication scenes under open set protocols, i.e., making the extracted features of communication scenes sufficiently separable under a suitable metric space. To achieve it, we design a feature fusion model based on a convolutional neural network to extract the features of communication scenes, and we take the real and imaginary parts of the channel frequency response as model inputs to extract the scene features sufficiently. Furthermore, in order to optimize the distribution of scene features in angular space, a Linear-Softmax loss function is designed to restrict the inter-class angles of extracted features to be larger than the intra-class angles by two hyperparameters. Meanwhile, a cosine distance-based communication scene recognition algorithm is designed to complete the communication scene recognition by calculating the cosine distance between features. Finally, it is tested on actual measurement data sets, and the experimental results show that compared with the state-of-the-art loss functions, the proposed Linear-Softmax loss function enables the learning of the maximum angular margin. The Linear-Softmax loss function combined with the proposed communication scenes recognition algorithm can complete the recognition of both closed-set and open-set test data, with a recognition accuracy as high as 97.28% on the closed-set test set and 85.65% on the open-set test set.

A distributed reception based method for identifying vortex beams

After the vortex beam is transmitted in the space laser communication scene for hundreds of kilometers, the spot diameter will expand to several meters or even tens of meters, and the existing detection methods that require receiving the whole spot are no longer applicable. In order to address this problem, a distributed detection scheme is proposed in this paper for demultiplexing two L-G beams. We choose two specific points on the light spot to receive two optical signals. Then the two optical signals are interfered with a designed optical fiber path which use the cross-coupling of the coupler. Then the demultiplexing is achieved according to the interference results at two ports. This scheme is suitable for demultiplexing intensity-modulated optical signals. The feasibility of this scheme is theoretically analyzed, and the demultiplexing of L-G beams with multiple combinations of topological charge numbers is realized.

Research on vehicle electromagnetic compatibility testing based on LTE-V2X direct communication

Abstract With the continuous development of intelligent networked vehicle technology, the electromagnetic environment inside and outside the vehicle is becoming more and more complicated. As the key technology of vehicle-road coordination, the electromagnetic reliability of V2X communication will affect the driving safety and ride comfort of intelligent networked vehicles. Based on V2X communication, this paper introduces the mainstream V2X technology and related standards at home and abroad. Taking the vehicle based on LTE-V2X direct communication technology as the object, the construction of the communication scene, electromagnetic emission, and immunity test method in the semi-dark room are studied, and the test results and matters needing attention in the test are given. This research can well support the formulation of vehicle networking standards and help improve the intelligent networked vehicle standards and regulations system.

Co-Culture Communication of Disabled Characters in the Movie Dancing in the Rain

The film Dancing in the Rain tells the story of Banyu, a mentally retarded person who experiences discrimination and bullying. As a mentally retarded person, Banyu has limitations in interaction and communication. Even though he often gets bullied, Banyu has two friends who always support him, namely Radin and Kirana. This research aims to determine the communication strategies of disabled groups in the film Dancing in the Rain. The film shows several scenes of interaction and communication between disabled characters in society. The theory used in the research is Mark Orbe's Co-Culture to analyze communication strategies. This research uses qualitative methods for data collection. The analysis uses the descriptive method of the Charles Sanders Pierce Semiotics model. This semiotic model consists of three, namely representamen (sign), object, and interpretant. Researchers used 18 scenes in the film that show Banyu's interactions with friends and the community. The results of this research show that people with disabilities use non-assertive separation and non-assertive accommodation strategies. Apart from that, there was a change in communication, namely assertive accommodation. As a disabled person, Banyu is more sincere and open to his two friends Radin and Kirana

Performance Landscape: The Relationship between Technology and Society under the Influence of Social Media

In the era of big data, the massive public opinion data on social media has challenged the traditional top-down framework analysis methods. In 2022, Fudan University published the core teaching material of network and new media communication, Computational Public Opinion in the Era of Big Data: Theories, Methods and Cases. In addition to analyzing the challenges faced by the traditional framework theory, the authors Zhou Baohua and Liang Hai also introduce how to use network analysis methods to cope with the transformation of social relations increased by technological progress. The data of CNNIC's 52nd report revealed that China has driven the whole people to go online, and social media is an important carrier for empty-nest youth to fight against weak localization. Therefore, how empty-nest youth use social media to become citizens, localization and family has become a landscape worthy of attention. By using the data of "Investigation on the use of social media by empty Nest Youth" from 2021 to 2023, this paper focuses on the degree of weak localization resistance of social networks and finds that the short video content produced is not only determined by technology or social factors, but a new communication scene jointly constructed by technology and society. In view of the "aphasia" characteristic of the vulnerable groups using social media in the previous research on rural communication, this paper puts forward corresponding countermeasures and suggestions from three perspectives: ideological and political education, intergenerational support and digital inclusion.

Intonation words in initial intentional communication of Mandarin-speaking children.

Intonation words play a very important role in early childhood language development and serve as a crucial entry point for studying children's language acquisition. Utilizing a natural conversation corpus, this paper thoroughly examines the intentional communication scenes of five Mandarin-speaking children before the age of 1;05 (17 months). We found that children produced a limited yet high-frequency set of intonation words such as " [a], [æ], [ε], [ən], [ə], eng [əŋ], [o], and [i]." These intonation words do not express the children's emotional attitudes toward propositions or events; rather, they are utilized within the frameworks of imperative, declarative, and interrogative intents. The children employ non-verbal, multimodal means such as pointing, gesturing, and facial expressions to actively convey or receive commands, provide or receive information, and inquire or respond. The data suggests that the function of intonation words is essentially equivalent to holophrases, indicating the initial stage of syntactic acquisition, which is a milestone in early syntactic development. Based on the cross-linguistic universality of intonation word acquisition and its inherited relationship with pre-linguistic intentional vocalizations, this paper proposes that children's syntax is initiated by the prosodic features of intonation. The paper also contends that intonation words, as the initial form of human vocal language in individual development, naturally extend from early babbling, emotional vocalizations, or sound expressions for changing intentions. They do not originate from spontaneous gesturing, which seems to have no necessary evolutionary relationship with the body postures that chimpanzees use to change intentions, as suggested by existing research. Human vocal language and non-verbal multimodal means are two parallel and non-contradictory forms of communication, with no apparent evidence of the former inheriting from the latter.

Predicted position-driven deep learning channel estimation for massive MIMO systems

Multiple-input multiple-output (MIMO) can significantly improve the energy efficiency and spectral efficiency of wireless communication systems, and obtaining accurate channel state information is a key prerequisite. However, traditional channel estimation techniques often have high computational complexity, poor channel estimation performance, and do not fully utilize the information in the communication scene. In this paper, a channel estimator (PrePD-CNN) with convolutional neural network (CNN) driven by predicted position information is proposed based on high-precision localization technology for 6G. The channel estimation performance is improved by rationally transforming the sensing information and accurately reconstructing the quasi-channel state as auxiliary information. Simulation results show that the BER performance and MSE performance of PrePD-CNN are significantly lower than that of traditional channel estimation algorithms. Therefore, the proposed scheme combines stronger robustness and good generalization, which not only reduces the complexity of the algorithm but also improves the performance.

Identification of Shipborne VHF Radio Based on Deep Learning with Feature Extraction

In the feature identification of maritime VHF radio communication signals, shipborne VHF communication technology follows the same international technical standards formulated by IMO, uses analog communication technology and uses the same communication channel in the same area, and cannot effectively achieve signal feature identification by adding feature elements in the process of signal modulation. How to effectively identify the ship using VHF radio has always been a technical difficulty in the field of ship perception. In this paper, based on the convolutional neural network, combined with the feasibility of CAM feature extraction and BiLSTM feature extraction in non-cooperative signal recognition, a deep learning recognition model of shipborne VHF radio communication signals is established, and the deep learning approach is employed to discern the features of VHF signals, thereby accomplishing the identification and classification of transmitting VHF radio stations. Several experiments are designed according to the characteristics of ship communication scenes at sea. The experimental data show that the method proposed in this paper can provide a new feasible path for ship target perception in terms of radio signal characteristics and identification.

The Impact of WeChat Platform on Social Interaction Under the Perspective of Situational Theory

The new media environment will promote new interactions and relationships. This paper attempts to use the situation theory of media to explore the impact of the WeChat platform on social behavior and analyze the new communication scenes created by the WeChat platform, and the new communication scenes have changed the interaction behavior and communication relationship. These issues have become an important exploration of the current in-depth understanding of online social media. This essay combines and summarizes the new media situations that WeChat has constructed and discuss the influences of these situations on social interactions according to situation theory. This research also explores how WeChat scenario affects its clients’ communication behaviors and relations through the methodology of depth interview, questionnaires and participatory-observation. Through the combing of the media scenes and their influences on WeChat and expand the analysis of the two virtual scenes of group chat and circle of friends. The user realizes the common presence of the virtual body through the WeChat group chat scene.. In the circle of friends, the users have the autonomy to control the screen, and can switch the front and back areas in the scene of the circle of friends at will. WeChat makes the online and offline scenes continue to merge through the expansion of the offline acquaintance circle and the social interaction of strangers on the line at the same time. Using in-depth interviews and questionnaire surveys, the author finds that the interaction scene of WeChat construction has two effects on social interaction behavior. On one hand, some new methods of communications have emerged. The virtual scenario socialization creates the interaction between human and machine, and the open scene of WeChat makes the user's personality and ability become their shining point which can makes them attractive. The user uses "likes" as a way of communication in the situations. On the other hand, the expression package came into being in order to provide more scene information. Situations changes in the front, middle, and back areas affect the user's expression package usage behavior.

Water–air acoustic communication based on broadband impedance matching

Efficient acoustic communication across the water–air interface has always been expected in the field of ocean exploration. However, the existing research works are mainly concentrated on the narrow-band transmission based on resonance, which greatly limits the transmission capacity and efficiency. Here, we combined air-based and water-based metafluids to realize an exponential gradient impedance matching layer for broadband water–air sound transmission. By cooperatively adjusting the sound velocity and thickness in the matching layers, we modulated the required acoustic parameters of each layer into a reasonable range, which can be conveniently achieved by the proposed metafluids. A matching layer sample was constructed and validated in a water tank. Experimental results show that the proposed matching layer can achieve an average sound energy transmission enhancement above 16.7 dB from 880 to 1760 Hz across the water–air interface. A water–air acoustic communication scene was further experimentally demonstrated through transmitting a multicolor picture from air to water, which shows extremely high communication capacity and accuracy. Our work is promising for more applications based on water-air transmission and opens an avenue to the design and implementation of the extreme impedance matching case.

학술적 문장에 대한 ‘문장 검토 커뮤니케이션’의 경험에 대한 고찰 - ‘코멘트 주체’의 ‘신경 쓰이는 경험’에 대한 인터뷰 내용을 중심으로 -

본 연구의 목적은 문장 검토에 관하여 코멘트를 주고받는 커뮤니케이션 (이하 ‘문장 검토 커뮤니케이션’이라 함)의 경험을 연구하기 위한 시점을 모색하는 것이다. 본고에서는 학술적 문장에 대한 ‘문장 검토 커뮤니케이션"의 경험에 초점을 두어 그 경험을 반구조화 인터뷰를 통해 조사했다. 특히 코멘트하는 주체(이하 ‘코멘트 주체"라 함)의 경험을 중심적으로 다루어 ‘코멘트에 관한 표현, 이해 등의 커뮤니케이션이 잘 이루어지지 않아, 어딘가 마음에 걸리는 경험이 되어, 신경 쓰이는 경험’(이하 ‘신경 쓰이는 경험’이라 함)이 언급된 부분에 주목했다. 본고에서는 특히 ‘깊은 이야기’를 한 3명의 조사 협력자의 인터뷰 내용을 대상으로, 어떤 요인이 ‘신경 쓰이는 경험"으로 이어지는지를 질적연구 입장에서 분석했다. 연구 결과 ‘신경 쓰이는 경험"의 요인의 기저에 커뮤니케이션 장면을 넘는 요소가 있는 것이 제시되었다. 구체적으로는 ‘문장 검토 커뮤니케이션"에 대한 생각과 신념 등 개인의 내면적 요소가 관련이 있는 결과가 제시되었다. 이 결과 ‘문장 검토 커뮤니케이션"의 경험을 연구함에 있어서는 개인의 내면적 요소와 같은 시점도 포함하여 분석할 필요성이 시사되었다. 이러한 연구성과를 토대로 여러 ‘문장 검토 커뮤니케이션" 장면의 이해를 높여 학술적 문장의 지도가 이루어지는 대학 및 대학원 등의 고등교육기관의 일본어 교육으로 환원되는 것을 목표로 한다. The present study aims to explore perspectives for capturing the experience of communication for the exchange of feedback on academic writing (hereinafter “text comment communication”). This paper captures the experience of text comment communication through semi-structured interviews. In particular, this paper focuses on the narratives of persons who provided comments (hereinafter “reviewers”) of their experiences of becoming worried or concerned as a result of miscommunication (hereinafter “concerning experiences”). This paper reports the results of qualitative analysis of the narratives of three participants who provided particularly “deep narratives”, in order to identify the factors that underlie concerning experiences. The results of the analysis revealed that factors that underlie concerning experiences exist beyond the scenes of communication. Specifically, it is shown that individuals’ internal factors such as attitudes and beliefs toward text comment communication are involved. The results suggest the need to include such internal factors as perspectives in analyses for capturing the experiences of academic writing text comment communication. Based on these results, we aim to gain a deeper understanding of various situations of text comment communication on academic writing, and apply them to Japanese language education at undergraduate and graduate schools and other higher education institutions where academic writing is taught.

Adaptive Beam Splitting-Based Broadband Hybrid Precoding for Terahertz Massive MIMO.

Terahertz massive MIMO systems can be used in the local area network (LAN) scene of maritime communication and has great application prospects. To solve the problems of excessive beam training overhead in beam tracking and beam splitting in beam aggregation, a broadband hybrid precoding (HP) is proposed. First, an additional delayer is introduced between each phase shifter and the corresponding antenna in the classical sub-connected HP structure. Then, by precisely designing the time delay of the delayer and the phase shift of the phase shifter, broadband beams with flexible and controllable coverage can be generated. Finally, the simulation results verify that the proposed HP can achieve fast-tracking and high-energy-efficient communication for multiple mobile users.

Research on Integrating Ideological and Political Elements into University Public English on the Basis of Project Teaching Method

As a basic compulsory course, public university English has the characteristics of long hours, large span and wide coverage. It is also a course that most directly faces the diversification of current social thoughts. This course is rich in the exchange and collision of Chinese and Western politics, cultures, and ideas, which plays an important role in improving students’ ability to judge the right and wrong of Western cultural values under the background of Chinese and Western cultural conflicts. It is of great and practical significance to carry out “moral education” in public English course, but there exist various problems of the ideological and political education in this course. Based on project teaching mode, exploring the ideological and political elements in the textbooks and designing a series of project tasks that match with the English communication scenes, “moral education” of university public English course helps students improve their language competence and interdisciplinary knowledge skills, and their ability to interpret Chinese culture is also enhanced, which is the realization of the goal of strengthening moral instruction and cultivating young university students through ideological and political education in English Course.

Analysis of Audience Reception Against Intercultural Communication Represented in the Film Bumi Manusia

Bumi Manusia is a film by Pramoedya Ananta Toer which has a theme about the love story of a young man of Javanese descent with a girl of Dutch descent and his struggles in the midst of the early 20th century Indonesian movement. audience, how to interpret the message received from a media, namely from a film which is one of the mass communication media. The purpose of this study is to find out how the audience's reception of intercultural communication in the film Bumi Manusia. This research is a descriptive analytical research method using Stuart Hall reception analysis with the concept of encoding-decoding and data collection techniques using the interview method. This study succeeded in showing different audience receptions in interpreting intercultural communication in the film Bumi Manusia. The results of this study indicate, the audience perceives into three types of dominant hegemonic, negotiated reading and optional reading. Viewers who are included in this dominant hegemonic classification understand the message content as it is. Audiences who are in a negotiating position receive texts or scenes of intercultural communication in the film but are not fully accepted because there are still things to negotiate. While the audience is in an oppotional position, the audience does not accept the text or scenes of intercultural communication presented in the film.

The Concept of Social Class Applied to the World-System

At present, the concept of «social class» is in a pauperized cultural state, fully integrated within political channels that are unfavorable to its identification, understanding and acceptance. As it has been defined in two previous works by the present author, the concept can only be associated with territorially undelimited and specialized societies, originated in postindustrial western Europe, under a division of labor based on productive objectives rather than professional roles. The notion of «social class» is nowadays subsumed within the communicative peculiarities channeled by the ruling class, so that it has been practically abolished from the mass communicative scene. Given this social conjuncture, which deeply affects both its academic and popular conception, the present research intends to offer a critical and final vision, after the two previous works, of its contemporary sense. First of all, the pauperization and collapse of the concept will be addressed, to later expose the reasons that make social classes perpetual and, finally, to delineate its role within the world-system as it was defined in the second half of the twentieth century.

LED recognition method based on deep learning in UAV optical camera communication.

Optical camera communication (OCC) is a potential technology in unmanned aerial vehicle (UAV) communication scenes, which can be used as a complementary scheme for radio frequency (RF) technology to effectively mitigate electromagnetic interference. The UAV OCC system still has the problems of low reliability, poor robustness, and long latency. In this paper, we propose the n-ary image that contains binary image information with different thresholds for the LED area. In addition, the multi-spectrum fast recognition (MFR) algorithm based on deep learning is designed. The MFR algorithm combines the frequency channel attention (FCA) and the involution convolution operator, which take the n-ary image as input to accurately identify the LED state. The experiment results show that the proposed method can reduce the bit error rate (BER) and latency of the UAV OCC system.

Application of wireless network communication technology in interior decoration system and Commercialization of hospital buildings

In view of the low accuracy of signal perception caused by unbalanced task allocation of high-rise hospital building interior decoration system, a high-rise building interior decoration system is designed based on wireless network communication technology. Hardware part: the terminal node based on STM32 MCU is connected with the environment sensor, and the BC35-GNB-IOT communication module is set to ensure the anti-interference of the link. In the software part, the angular power spectrum is used to establish the indoor communication scene classification model of high-rise hospital buildings, the task is divided into several sub-tasks according to the time complexity, and the wireless network is used to realize the dynamic scheduling of tasks. The indoor environment sensing algorithm is designed to detect the performance of cyclostationary signals. It shows that the sensing accuracy of the system designed in this paper is higher than that of the system without a wireless network, which has good robustness and can improve the service quality of indoor environmental monitoring.

Opportunities for Interactive Communication in Mechanically Ventilated Critically Ill Patients: A Video-Based Observational Study.

Background Mechanically ventilated critically ill patients need the opportunity to communicate their physical and psychosocial concerns to nurses. However, these patients face the unique problem of lacking even the opportunity to communicate. Aims The study aimed to describe the characteristics of communication opportunities for critically ill mechanically ventilated patients. Methods The study was designed as a video-based descriptive observational study. Participants included seven mechanically ventilated critically ill patients at the intensive care unit, coronary care unit, or high care unit who were conscious and seven registered nurses (seven pairs). Videos were recorded continuously from 8 am to 4 pm, and the footage was then descriptively analyzed. Data collection took place between July 2019 and June 2020. Results The total recording time was 668.0 minutes. Of these 668.0 minutes, nurses stayed in the Conversation Area of the Patient for 279.6 minutes, and of these 279.6 minutes, two-way face-to-face communication between nurse and patient occurred for 78.0 minutes. Of these 78.0 minutes, communications were started by nurses for 47.2 minutes (174 scenes) and by patients for 24.2 minutes (36 scenes). The patient-started two-way communication scenes included 37 instances of Patient-Intentional-Action that triggered the start of communication. Actions using the upper limbs were observed in 20 instances and represented the most frequently used body part. The head/face, lower limbs, or trunk were also used in some of the actions. Gestures were the most commonly used action type (14 instances). Other types included lip movement, grimace, leg flex/extension, and cough. Conclusions We found that nurses tended to start communication more frequently than patients did and that patients demonstrated Patient-Intentional-Action with a variety of actions using various body parts. Communication opportunities for patients were created when nurses took the initiative to start communication or when they noticed and responded to the Patient-Intentional-Action. Our findings demonstrate that nurses need to recognize and always respond to Patient-Intentional-Action and to take the initiative in communicating rather than waiting for the patient to do so.

The Fifty-Year Legacy of Agenda-Setting: Storied Past, Complex Conundrums, Future Possibilities

ABSTRACT A half-century has elapsed since the publication of McCombs and Shaw’s seminal study. This paper provides a distinctive historical review of agenda-setting, interviewing leading scholars, combing the vast literature, and reviewing critical phases in the agenda-setting story to showcase the human, as well as conceptual, dimensions of the agenda-setting trajectory. Dividing the paper into six parts, I describe how agenda-setting was built, broadened, extended, challenged, and adapted to the present milieu, concluding with critical directions for how to meld the concept to the turbulent political communication scene.

Improved Deep Neural Network for Cross-Media Visual Communication.

Cross-media visual communication is an extremely complex task. In order to solve the problem of segmentation of visual foreground and background, improve the accuracy of visual communication scene reconstruction, and complete the task of visual real-time communication. We propose an improved generative adversarial network. We take the generative adversarial network as the basis and add a combined codec package to the generator, while configuring the generator and discriminator as a cascade structure, preserving the feature upsampling and downsampling convolutional layers of visual scenes with different layers through correspondence. To classify features with different visual scene layers, we add a new auxiliary classifier based on convolutional neural networks. With the help of the auxiliary classifier, similar visual scenes with different feature layers have a more accurate recognition rate. In the experimental part, to better distinguish foreground and background in visual communication, we perform performance tests on foreground and background using separate datasets. The experimental results show that our method has good accuracy in both foreground and background in cross-media communication for real-time visual communication. In addition, we validate the efficiency of our method on Cityscapes, NoW, and Replica datasets, respectively, and experimentally demonstrate that our method performs better than traditional machine learning methods and outperforms deep learning methods of the same type.