Study on QoS and Communications Capacity in Heterogeneous Network Convergence

To provide any subscriber from anywhere at anytime with services that have both secured Quality of Service(QoS) and simultaneous expansion of network coverage and communications capacity is a key problem that has to be considered and solved in heterogeneous network convergence.Key technologies for a secured QoS and communications capacity analysis under heterogeneous environment are important subjects for research.Key technologies for a secured QoS are mainly on radio resource management algorithms covering Call Admission Control(CAC) algorithm,vertical handover algorithm,heterogeneous resource allocation algorithm and network selection algorithm.The applications of a novel multi-hop in heterogeneous convergence system serve the purposes of network coverage expansion,transmission power reduction,system communication capacity and throughput increase.

On Zero Translation in News Discourse

In the context of globalization,zero translation words are more and more frequently used in news discourse.This article aims to explore the reasons for the frequent use of zero translation words in news discourse and their impact on news discourse from the perspectives of translation studies and journalism and communication studies.

Construction of Agricultural Information Service System in China——under the Eyeshot of Communication Science

The paper aims to study the current communication condition,configuration,characteristic and regulation of Chinese agricultural information in terms of the eyeshot of communication studies,and provide reference to build Chinese agricultural information service system based on the analysis of their advantages and disadvantages.

Social Science Communication Through Dialogic Interactions

The study in this paper that draws on dialogic interaction is a focus of investigation as the way to communicate social sciences to the public. In science communication people, for example, experts or scientists attempt to persuade lay people about the validity of their assessments. Currently dialogue in science communication might be seen as an important way to deliver information about sciences to the public as previously communicating science was conducted through top-down approaches. In addition, currently there is a tendency that people prefer to deliver and to receive information about sciences through two-way communication models between two or more parties, face-to-face or mediated by any means of communication as this way of communication is seen as more interactive. In the context of Indonesia, in terms of social science communication, this is an important phenomenon to investigate as two-way communication models might bridge the gap between expert opinion and lay opinion, where lay opinion is often seen as irrational or emotional. However, there are still a small number of studies with regard to how social sciences are communicated to the public and in what ways people preferred to deliver, moreover to discuss information within social sciences. One of the potential reasons is that research on science communication is mainly focused on natural and physical sciences. Since the study in this paper focuses on dialogic interactions in social science communication, this study will contribute to the current discussions of mass communication, in terms of science communication, and to related fields.

Deep Learning Model for News Quality Evaluation Based on Explicit and Implicit Information

Recommending high-quality news to users is vital in improving user stickiness and news platforms’reputation.However,existing news quality evaluation methods,such as clickbait detection and popularity prediction,are challenging to reflect news quality comprehensively and concisely.This paper defines news quality as the ability of news articles to elicit clicks and comments from users,which represents whether the news article can attract widespread attention and discussion.Based on the above definition,this paper first presents a straightforward method to measure news quality based on the comments and clicks of news and defines four news quality indicators.Then,the dataset can be labeled automatically by the method.Next,this paper proposes a deep learning model that integrates explicit and implicit news information for news quality evaluation(EINQ).The explicit information includes the headline,source,and publishing time of the news,which attracts users to click.The implicit information refers to the news article’s content which attracts users to comment.The implicit and explicit information affect users’click and comment behavior differently.For modeling explicit information,the typical convolution neural network(CNN)is used to get news headline semantic representation.For modeling implicit information,a hierarchical attention network(HAN)is exploited to extract news content semantic representation while using the latent Dirichlet allocation(LDA)model to get the subject distribution of news as a semantic supplement.Considering the different roles of explicit and implicit information for quality evaluation,the EINQ exploits an attention layer to fuse them dynamically.The proposed model yields the Accuracy of 82.31%and the F-Score of 80.51%on the real-world dataset from Toutiao,which shows the effectiveness of explicit and implicit information dynamic fusion and demonstrates performance improvements over a variety of baseline models in news quality evaluation.This work provides empirical evidence for explicit and implicit factors in news quality evaluation and a new idea for news quality evaluation.

An Analysis of Network Sports News Reporting from the Perspective of Communication Studies

This paper explores network sports news reporting from a communication studies perspective,analyzing its impact,challenges,and future prospects.It highlights the influence of digital tools,multimedia content,and social media on sports news dissemination.The study also delves into audience engagement,content analysis,and ethical concerns.Ultimately,it emphasizes the need for technological adaptation,media education,and policy development to ensure the continued evolution of network sports news reporting in the digital era.

A study on pattern time delay shift coding underwater acoustic communication

The high rate digital acoustic communication technique for horizontal channels has been studied in this article. It is called as 'Pattern Time Delay Shift Coding (PDS) communication system.' The aim of the PDS is to improve the quality of communication in shallow water. The open water experiments shoe that at the condition of 2 kHz bandwidth, the communication rate is more than 300 bit/s and error rate is at the level of 10-4. The details of PDS technique will be shown, including: principle of PDS coding, the model of Anti-multipath illterference and open water experimenis

THE CECL CLASSROOM AND INTERCULTURAL COMMUNICATION STUDIES

An analysis of Communicative English for Chinese Learners(CECL)Book Ⅳ,Unit 3, ’Entertainment’. Following an evaluation of the existing unit, the author explores ways of making the unit linguistically and culturally more challenging for both the teacher and students, in order to achieve an intercultural, communication-based model of language teaching.