县域新闻传播“媒体+服务”模式创新研究

融媒体时代,任何人都可以成为新闻的采访者和传播者,对此,县域新闻要想保持并提高自身影响力就必须做出改变,在紧跟时代发展和行业变化的同时搭建起全方位媒体传播矩阵,掌握新闻传播的主导权和舆论引导权,从而形成有助于县域新闻媒体发展的“媒体+”新闻传播模式。县域新闻有着独特的发展、传播优势,要注重加强对基层思想共识的引导和凝聚,为大众提供定向服务,同时也要下大功夫讲好当地故事、传承本土文化,逐步搭建起符合大众需求的“服务+”新闻传播模式,这也是当下我国推动基层治理现代化的重要保障。

行业报推进媒体融合发展的误区与路径探究

行业报作为专业领域媒体,面对媒体融合发展的时代课题,开展了一系列体制优化、多元服务、技术变革等探索。但受到理念、技术、人才等方面的限制,在技术应用、内容创新、可持续发展方面存在认识误区。文章以中国交通报社为例,主要梳理近年来行业报的媒体融合转型经验,分析行业报在垂直领域和政务服务方面的独特优势,提出应当绘制媒体深度融合战略一张图,重视媒体转型的规划与落地,以推动机构和人员整体认知转型,发挥优势,拓展“媒体+服务”,并注重用户参与和互动性。

山西县级融媒体中心建设实践探讨

自中央部署全面推进县级融媒体中心建设以来,山西加快推进县级媒体在机构、内容、渠道、平台、人员、经营、管理等方面深度融合,围绕建成主流舆论阵地、综合服务平台、社区信息枢纽三大目标开展建设工作。在实践过程中,山西县级融媒体中心建设仍面临着新闻生产能力有待提升、服务能力有待加强、“媒体+政务+服务”运营模式存在不足、内宣外宣有效联动效果不显著、省级技术支撑平台欠缺可持续发展能力等方面的挑战。为此,需要通过提升县级融媒体中心生产优质内容的能力、以机制创新优化促进服务能力提升、探索发展“媒体+政务+服务”运营模式、打造内宣外宣联动的融媒传播体系、不断提升技术支撑平台可持续发展能力等措施,扎实推进山西县级融媒体中心建设。

“媒体+服务”在智慧停车平台上的应用

随着汽车保有量的快速增长,各城市普遍存在"停车难"的问题,为解决该问题,智慧停车平台应运而生。但当前的智慧停车平台功能单一,仅能实现停车的智能化、信息化,使得平台体验性不佳,对车主的黏度不高。鉴于此,本文构建了"媒体+服务"在智慧停车平台上的应用方案,明确了应用目标,并对总体架构与功能架构展开了详细设计,为"媒体+服务"在智慧停车平台上的应用提供了解决方案。

“化零为整”构建“媒体+服务”生态

在媒体融合发展的新征程中,各级媒体都在积极探索“媒体+政务+服务”模式。石狮市融媒体中心通过“化零为整”捆绑发力,打出了一套全媒体传播“组合拳”,有效构建“媒体+服务”生态,在助力地方经济发展的同时,进一步提升了自身的“造血”功能。

强化“媒体+服务” 践行群众路线——以“有话请您说”泸州市网络问政平台为例

近年来,互联网迅速发展,各类社交平台逐渐成为广大人民群众表达诉求、维护权益、建言献策的有效渠道,这对各级党政部门和主流媒体走好网上群众路线,也提出了新要求、新挑战。如何走好新时代网上群众路线?如何加快推动主力军全面挺进主战场?本文以四川省泸州市融媒体中心的“有话请您说”泸州市网络问政平台为例,将全媒体时代走好群众路线的落脚点定位在“媒体+服务”上,通过10多年的深耕,形成报台网端微屏合力,全方位回应民生关切,全流程优化“媒体+”,全链条加强服务群众水平,积极做好群众“最关心的事”“最需要的事”“最紧急的事”,总结相关经验,进而探讨地市级媒体在“开门办报”中践行群众路线的路径选择和未来探索。

A P2P streaming service architecture with distributed caching

Multimedia streaming served through peer-to-peer (P2P) networks is booming nowadays. However, the end-to-end streaming quality is generally unstable due to the variability of the state of serve-peers. On the other hand, proxy caching is a bandwidth-efficient scheme for streaming over the Internet, whereas it is a substantially expensive method needing dedicated powerful proxy servers. In this paper, we present a P2P cooperative streaming architecture combined with the advantages of both P2P networks and multimedia proxy caching techniques to improve the streaming quality of participating clients. In this frame- work, a client will simultaneously retrieve contents from the server and other peers that have viewed and cached the same title before. In the meantime, the client will also selectively cache the aggregated video content so as to serve still future clients. The associate protocol to facilitate the multi-path streaming and a distributed utility-based partial caching scheme are detailedly dis- cussed. We demonstrate the effectiveness of this proposed architecture through extensive simulation experiments on large, Inter- net-like topologies.

A study on TCP performance of crowdsourced live streaming

The prevalence of smart phone and improvement of wireless net promote the usage of crowdsourced live streaming,where individual users act as live streaming sources to broadcast themselves online. Characterizing the performance and identifying its bottleneck in such systems can shed light on the system design and performance optimization. TCP performance of a commercial crowdsourced live streaming system is examined by analyzing packet-level traces collected at streaming servers. TCP stalls that heavily hurt the Qo E of user have been identified. In particular,the TCP stalls account for as much as 31. 6% of the flow completion time for upload flows and result in abandonment of upload on the corresponding channels. Stalls caused by timeout retransmissions are further dissected and timeout retransmission characteristics are revealed to be dependent on the video encoding methods. These findings provide new insights in crowdsourced live streaming systems and can guide designers to improve the TCP efficiency.

QoE Assessment and Prediction Method for HighDefinition Video Stream Using Image Damage Accumulation

The accuracy of the traditional assessment method of the quality of experience(Qo E) has been facing challenges with the growth of high-definition(HD) video streaming services.Image display-quality damage is the main factor that affects the Qo E in HD video services through UDP network transmission.In this paper,we introduce a novel objective factor known as image damage accumulation(IDA) to assess user's Qo E in HD video services.First,this paper quantitatively analyzed the effect on user quality of experience by IDA and established a mapping relationship between mean opinion scores and IDA.Furthermore,the probability of image damage caused by compression and transmission were analyzed.Based on this analysis,an objective Qo E assessment and prediction method for HD video stream service that evaluated the user experience according to IDA are proposed.The proposed method can achieve assessment and prediction accuracy on three distinct subjective tests.

Recent Advances and Challenges of Visual Signal Quality Assessment

While quality assessment is essential for testing, optimizing, benchmarking, monitoring, and inspecting related systems and services, it also plays an essential role in the design of virtually all visual signal processing and communication algorithms, as well as various related decision-making processes. In this paper, we first provide an overview of recently derived quality assessment approaches for traditional visual signals (i.e., 2D images/videos), with highlights for new trends (such as machine learning approaches). On the other hand, with the ongoing development of devices and multimedia services, newly emerged visual signals (e.g., mobile/3D videos) are becoming more and more popular. This work focuses on recent progresses of quality metrics, which have been reviewed for the newly emerged forms of visual signals, which include scalable and mobile videos, High Dynamic Range (HDR) images, image segmentation results, 3D images/videos, and retargeted images.

Database-Assisted Dynamic Spectrum Access with QoS Guarantees:A Double-Phase Auction Approach

Since FCC's opening for white space(WS) utilization,database-assisted dynamic spectrum access(DSA) has become the de facto solution for the realization of dynamic spectrum sharing(DSS),due to its simplicity and compatibility with commercial off-the-shelf(COTS) devices.It is envisioned that such technology will strongly support the prosperous wireless multimedia networking(WMN) applications with satisfying QoS guarantees in the future.However,how to counter the time-frequency variant property when exploiting the WS spectrum for the provision of these services to secondary users(SUs) still remains a great challenge.In such context,a dynamic secondary access scheme for database-assisted spectrum sharing networks is proposed in this paper.In the beginning,the spectrum requirements of SUs for diverse services are modeled by considering the minimum required service data-rate and spectrum access duration.Afterwards,the spectrum demand evaluation and bidding policy are formulated based on the service classes of SUs.Furthermore,a doublephase(DP) spectrum allocation scheme,which consists of the initial resource allocation phase and resource allocation adjustment phase,is carefully designed for DSA.Finally,extensive simulations are conducted and the results demonstrate that our scheme can increase the spectrum trading revenue and adapt to varying service requirements.

Integrated LOBS/GMPLS Network Testbed

In the context of dynamic telecommunication traffic requirement, experimental prototypes and testbeds have been vital and challenging steps towards achieving practical OBS networks. This paper presents the novel integrated LOBS/GMPLS network testbed. Dynamic interworking technologies between GMPLS network and LOBS network and potential survivability schemes in this multilayer network are investigated by experimentally evaluating the TCP and popular streaming media service performance over an integrated LOBS/ GMPLS testbed.

A LIMITED RESOURCE VECTOR LOAD-BALANCING ALGORITHM FOR SOFTSWITCH-BASED HETEROGENEOUS CLUSTERED MEDIA SERVER

Based on the system feature of softswitch-based heterogeneous clustered media server, this paper proposed a limited resource vector load-balancing algorithm. The purpose of the algorithm was to balance the load of clusters by utilizing all system resources effectively and to avoid violent shaking of the system per- formance. A lot of simulations on the Petri net model of load balance system are conducted and the algorithm is compared with some traditional algorithms on balancing ability for heterogeneity, system throughput, re- quest response time and performance stability. The results of simulations show that the algorithm achieves system higher performance and it has excellent ability to deal with the heterogeneity of clustered media server.

Dual Adaptive Turbo Coded Modulation for Integrated Multimedia Service Transmission

This paper proposes a cross-layer dual adaptive coded modulation architecture using turbo codes for mobile multimedia communication, which adapts to both the varying channel characteristics and the QoS of various multimedia services simultancously to increase the average system throughput substantially. A pragmatic channeladaptive turbo coded modulation schcme, which comes within 2.5 dB of the Shannon limit, is optimally designed, and then a QoS-adaptive scheme is superimposed to build the dual adaptive architecture. Simulation results show that the novel dual adaption reduces the gap from the fading channel capacity to 2 dB when assuming different services occur in equal probability and the service duration follows exponential distribution.

Secure Mobile Crowdsensing Based on Deep Learning

To improve the quality of multimedia services and stimulate secure sensing in Internet of Things applications, such as healthcare and traffic monitoring, mobile crowdsensing(MCS) systems must address security threats such as jamming, spoofing and faked sensing attacks during both sensing and information exchange processes in large-scale dynamic and heterogeneous networks. In this article, we investigate secure mobile crowdsensing and present ways to use deep learning(DL) methods, such as stacked autoencoder, deep neural networks, convolutional neural networks, and deep reinforcement learning, to improve approaches to MCS security, including authentication, privacy protection, faked sensing countermeasures, intrusion detection and anti-jamming transmissions in MCS. We discuss the performance gain of these DLbased approaches compared to traditional security schemes and identify the challenges that must be addressed to implement these approaches in practical MCS systems.

A QoS Guarantee Service Serving Model in LEO Satellite Networks Based on Differential Game

Low Earth Orbit （LEO） satellites networks can provide multimedia service and plays an increasingly important role in the exploitation of space. However, one of the challenges in LEO satellites networks is that the services are suffered from high symbol error, limited storage space and limited available energy. To analyze the performance of the service in LEO satellites networks, a model, based on differential game, is proposed for satisfying the QoS requirements of multimedia applications. The controller of our model is the transmitting rate and the object is to maximize the payoff depending on the error symbol rate, the available energy, the bandwidth and the process ability so as to guarantee the QoS service. In order to solve our built model, we use the Bellman theorem to make formulas on the trance of the optimal transmitting rate. Furthermore, simulation results verify that the service can be maximized by using our derived transmitting rate trance.

A novel 3-D spatial temporal channel model for high mobility HAPS-based communications scenario

A high altitude platform station （HAPS） based communications scenario for providing Intemet access and broadband multimedia services to the passengers on board of a high speed train （traveling up to 300km/h） is proposed. Regarding the addressed scenario, when the propagation link between HAPS and train is blocked by obstacles, a three-dimensional （3-D） geometrical single cylinder spatial-temporal channel model is presented, in which closed form, mathematically tractable space-time correlation functions are obtained. It shows that the correlation functions determined by the 3-D model are of significant difference with those of the conventional 2-D model. Based on the analysis model, the paper derives a realized simulation model using sum-of-sinusoids approach, and applies method of equal areas （MEA） and modified method of equal areas （MMEA） to determine the model parameters. The fitting performance of the simulation model with the analysis one is evaluated by two means-square error （MSE） performance criteria. Finally, numerical simulation results verify the mathematical analysis conclusion, when N ≥21, simulation model has an excellent fitness with the analysis one.

A channel- and QoS-adaptive turbo coded modulation architecture for mobile multimedia communication

This paper proposed a cross-layer dual adaptive coded modulation architecture using turbo codes for mobile muhimedia communication, which simultaneously adapted to both the varying channel characteristics and the quality of service （QoS） of various mobile multimedia services to increase the average system throughput substantially. A pragmatic channel-adaptive turbo coded modulation scheme, which comes within 2.5dB of the Shannon limit, was optimally designed, and then a QoS-adaptive scheme was superimposed to build the dual adaptive architecture. Simulation results show that the novel dual adaption reduces the difference with the fading channel capacity to 2dB when assuming different services occur in equal probability and the service duration follows the exponential distribution.

RSA-based Proxy Signature for Media Independent Handover

This paper proposes an Authentication Interworking Protocol （AIP） based on IEEE 802.21 Medi Independent Handover （MIH） in the heterogeneous networks. The proposed AIP with the RSA-based proxy signature reduces handover delay time and communication message overhead when the mobile node moves between the heterogeneous networks. It defines new AlP Type Length Value （AlP TLV） in MIH frame format and uses the MIH Information Server （MIHIS） for issuing signature. The MIHIS can generate a signature on behalf of the AAA server and then the signature can he used by mobile node for a pre-authentication. For low handover delay, the proposed AIP performs pre-authentication processes with MIP protocol before layer 2 handover. Also, this paper analyses the performance of the handover and compares with the non-secure MIH.

African-American Women＇s Perceptions of Constitutive Meanings of Good Hair Articulated in Black Hair Magazine Advertisements

Hair has historically reflected material consequences in the Black community; thus, research has begun to investigate how the power/privilege matrix that is propagated throughout the media permeates society and impacts African-Arnerican women＇s perceptions of hair. This research joins the discussion by exploring how Black hair magazine advertisements influence Black women＇s hair decisions and their percepfious of what constitutes beautiful Black hair. Findings reveal that the images African-American women consume from Black hair magazine advertisements do impact what they consider to be beautiful and, subsequently, influence their day-to-day styling and hair care mechanisms, lending further support to the idea that the media serve as powerful sources of knowledge. This study culminates by theorizing about the constitutive meanings and importance of Black hair as conveyed through magazine advertisements and considers how Black women use social comparisons to make everyday hair decisions to achieve what they identify as good hair.