Content Services Research Articles

Let's Ask the Intellects!!: Change of Consumption Behaviors in Contents Services

Let's Ask the Intellects!!: Change of Consumption Behaviors in Contents Services

A proposed portfolio analysis model for over-the-top initiatives

The presence of over-the-top (OTT) services on top of telecommunication networks has created disruption for communication service providers (CSPs). CSPs have been relying on connectivity services with direct charging models, while OTT players instead offer various applications and content services with indirect charging models or free-like services, such as freemium, two-sided markets model and market capitalisation. CSPs have been searching for the winning formula in response to potential opportunities and threats from OTT players who do not have to bear heavy investment connectivity service. CSPs must embrace OTT opportunities to maintain their market position, but the question remains as to how to select the most promising OTT projects (or initiatives) among unlimited possibilities and short windows of opportunity to realise the potential early. Current portfolio analysis models may not be able to answer this question adequately. This study combines a theoretical review and empirical research to gain insights from the previous common portfolio analysis models and compare those models with the expectations of OTT initiative portfolio managers. Upon gathering the required information, the research uses a group model building approach to construct and test a new portfolio analysis model specially designed for selecting OTT initiatives.

Current Status Regarding Online Contents Service of Army Records and Development Plan: Based on the US Army’s Archives Case

Current Status Regarding Online Contents Service of Army Records and Development Plan: Based on the US Army’s Archives Case

Predicting End-User Adoption to Mobile Services

It is no doubt that the sub-field of Artificial Intelligence, which uses the tenets of Machine learning and data mining has progressively gained popularity in the past years to become one of fundamental yet revolutionary technologies. It is the basis of systems that can learn and improve using algorithms and big data with minimal programming or none. It is envisaged that mobile computing will empower end-users to seamlessly access and consume digital content services regardless of spatial or temporal orientations. Such are already the features of smart phones that at production are bundled with trending and necessary services. Of the many capabilities that advancement in technology have actualized in smart devices, gaming, video streaming, online library access, and m-commerce access services are the commonly among smart device owners. Given the near-exponential growth in ownership of smart devices, there is a need to identify and prioritize mobile services, and such was focus of this study. In specific, the study used Decision Tree, a popular machine learning algorithm, to predict the adoption of mobile services among smart device owners. Besides this purpose, the study identified the core uses of smart phones, and data used in the study was from an open source and was retrieved from Pew Research Centre Internet and Technology website. The dataset had 140 variables and 2001 themes, from which only the key attributes were selected for analysis. The study established that the level of education was the significant predictor of the mobile phones usage while race of the user emerged as the least predictor of smart device usage. The findings indicated that smart mobile phones were mostly used for entertainment, getting locations, direction and for recommendation purposes.

The Mediating Effect of Social Networks on the Influence of Tacit Knowledge on Organizational Learning and the Attendant Impact on Competitive Advantage: Learning from the ICT Content Service Providers Sector in Kenya

The Mediating Effect of Social Networks on the Influence of Tacit Knowledge on Organizational Learning and the Attendant Impact on Competitive Advantage: Learning from the ICT Content Service Providers Sector in Kenya

Archival Contents Service for Education in the UK TNA

Archival Contents Service for Education in the UK TNA

Academic e-Book Publishing in China: An Investigation of Current Status and Publishers' Attitudes

This study investigates the current status and attitudes towards academic e-book publishing by mainland Chinese academic publishers through an online survey. This study collected survey data from 49 authoritative academic publishers in China, focusing on their e-book sales profiles and their perceptions of how e-book sales affect publishers and libraries. The data reveals that China's academic e-book industry is still at an early development stage and has a relatively small market. The findings show significant differences in the willingness and attitudes towards e-book publishing between SSH publishers and STEM publishers, and also demonstrate that the enhancement of the demand for e-books by academic libraries promotes the process of the digital transformation of academic publishers. This study then argues that Chinese academic publishers need to further improve the quality of academic e-books, accelerate the transition from academic content providers to academic content service providers, and strengthen their cooperation with stakeholders.

Data-driven QoE prediction for IPTV service

With the development of Internet and multimedia technology, more and more families enjoy smart multimedia services provided by Internet Protocol TV (IPTV). It is crucial for operators and content service providers to find key indicators and improve quality of experience(QoE) for users. In this paper, we propose data-driven QoE prediction for IPTV service. Specifically, we define QoE to evaluate user experience of IPTV in data-driven approach at first. Then we analyze user’s interests and device indicators to understand when and how they affect user experience. Based on user interest lists for both regular users and new users, we propose the uindex to quantify user’s interests in Live TV. Finally, we build a personal QoE model based on an artificial neural network (ANN). Experimental results show that uindex improves the integrity of QoE description. Moreover, the model can predict QoE with an accuracy of 83.93% for regular users and 83.90% for new users in the record level, better than those of competing algorithms.

Joint cache resource allocation and request routing for in-network caching services

In-network caching is recognized as an effective solution to offload content servers and the network. A cache service provider (SP) always has incentives to better utilize its cache resources by taking into account diverse roles that content providers (CPs) play, e.g., their business models, traffic characteristics, preferences. In this paper, we study the cache resource allocation problem in a Multi-Cache Multi-CP environment. We propose a cache partitioning approach, where each cache can be partitioned into slices with each slice dedicated to a content provider. We propose a content-oblivious request routing algorithm, to be used by individual caches, that optimizes the routing strategy for each CP. We associate with each content provider a utility that is a function of its content delivery performance, and formulate an optimization problem with the objective to maximize the sum of utilities over all content providers. We establish the biconvexity of the problem, and develop decentralized (online) algorithms based on convexity of the subproblem. The proposed model is further extended to bandwidth-constrained and minimum-delay scenarios, for which we prove fundamental properties, and develop efficient algorithms. Finally, we present numerical results to show the efficacy of our mechanism and the convergence of our algorithms.

Is the CJEU Outperforming the Commission?

An analysis of the recent developments of the concept of communication to the public in the CJEU’s case law and in the Commission’s Copyright in the Digital Single Market Directive Proposal with particular regard to online content services.

The Internet of Platforms and Two-Sided Markets: Legal and Regulatory Implications for Competition and Consumers

This article examines developments in the Internet marketplace that favor embedded intermediaries that have significant market power and the ability to install a platform that both upstream sources of content and applications as well as downstream consumers need to access. Ventures such as Amazon, Facebook and Google have exploited, “winner take all” networking externalities resulting in the creation of seemingly impenetrable barriers to market entry even by innovative companies. Courts and regulatory agencies recognize the substantial market shares these ventures have acquired, but refrain from imposing sanctions on grounds that consumers accrue ample benefits when platform operators use upstream revenues to subsidize downstream services. Consumers also benefit when platform intermediaries eschew short term profits in the quest for greater product diversity and “shelf space” in the Internet marketplace. Additionally, courts and regulators may over-estimate the opportunities for consumers to migrate to alternatives, but underestimate the harms to competition and consumers occurring on either or both sides of an intermediary’s platform. The article identifies four types of government responses to price and quality of service discrimination that exploits choke points within the Internet ecosystem where large volume of traffic has to traverse a single digital, broadband carrier’s network, or service provider’s platform. Governments can refrain from regulating access and accept aspects of market concentration as proper rewards to ventures offering desirable content and carriage services. Alternatively, they can impose access sanctions for antitrust violations, unfair trade practices, consumer harms and unreasonable access discrimination to offset market-driven concentration and dominance. Between these poles, governments can apply antitrust/competition policy remedies, or rely on expert regulatory agencies to respond to complaints. The article examines digital broadband platform operators with an eye toward assessing the aggregate benefits and costs to both upstream firms and downstream consumers. The article notes that in some instances, government-imposed, ex ante safeguards anticipate and attempt to resolve transitory, comparatively insignificant, or possibly nonexistent problems. In other instances, governments have stated an intention to rely on ex post remedies, but they never get around to refining procedures to reduce the potential for false negatives that ignore or underestimate significant marketplace harm. The article concludes that governments have failed to revise and recalibrate tools that examine potential marketplace distortions and assess the potential for damage to competition and consumers. The article demonstrates how the Justice Department, Federal Trade Commission and the Federal Communications Commission have relied on economic and legal doctrine ill-suited for digital broadband market assessments. These agencies have generated false positives, resulting in market intervention where not major problem exists and false negatives, where undetected major problems cause harm without remedy. Additionally these agencies appear to misallocate their resources and attention on insignificant matters when more compelling problems exists. The article recommends that courts and government agencies consider both sides of an intermediary’s market when assessing current and prospective harms, commit to more accurate estimates of the potential for consumers to change platform allegiances and consider the overall impact of two-sided market domination instead of simply dismissing market concentration as necessary and harmless.

Analog Coded SoftCast: A Network Slice Design for Multimedia Broadcast/Multicast

This paper presents a network slice design for ultra high definition (UHD) video broadcast/multicast to achieve higher network efficiency and improved quality of experience (QoE). The proposed network slice design consists of a rateless source compression scheme and an analog-coded SoftCast scheme. The rateless Spinal code is adopted to compress the video source at content server and the compressed source is transmitted from content server across wireless core network to the base station. An a priori information-assisted Spinal decoder is designed to utilize the sparsity of bit planes for compression. In the analog-coded SoftCast scheme, we design a new chaotic function-based analog code with negligible power penalty for the generalized Gaussian-distributed source in SoftCast because the existing chaotic functions designed for uniformly distributed sources suffer from serious power penalty in SoftCast. We also design a maximum a posteriori probability decoding algorithm for the proposed analog code in order to exploit the statistics of video source as a priori information to improve the performance. The experimental results show that the proposed rateless code-based compression scheme achieves efficient compression and approaches the bound of binary erasure channel. In particular, the 1/2 analog-coded SoftCast has almost 2 dB gain over conventional SoftCast with two repetitions, and the 1/3 analog-coded SoftCast has almost 3 dB gain over conventional SoftCast with three repetitions. The system simulations for the broadcast system show higher network capacity and improved QoE in the proposed UHD slice, because the reconstructed video quality of each user is commensurate with its channel condition.

Mobile Big Data: The Fuel for Data-Driven Wireless

In the past decade, the smart phone evolution has accelerated the proliferation of the mobile Internet and spurred a new wave of mobile applications, leading to an unprecedented mobile data volume generated from the mobile devices, content servers, and network operators, which are mainly nonstructured. In this big data era, such nonstructured data fragments are pieced together such that, drastically differing from the traditional practice where services determine and define the data, data is becoming a proactive entity that may drive and even create new services. Compared with the so-termed 5V characteristics of generic big data, namely volume, variety, velocity, veracity, and value, mobile big data is distinct in its unique multidimensional, personalized, multisensory, and real-time features. In this survey, we provide in-depth and comprehensive coverage on the features, sources and applications of mobile big data, as well as the current state-of-the-art, challenges and opportunities for research and development in this field, with an emphasis on the user modeling, infrastructure supporting, data management, and knowledge discovery aspects.

Traffic management in the mobile edge cloud to improve the quality of experience of mobile video

The use of mobile network traffic is increasing due to the development of communication devices such as smart phones. Data traffic accounts for more than voice traffic. Video traffic accounts for the largest proportion of mobile data traffic and this proportion is increasing. However, various mobile environments affect the status of the mobile network and limit the provision of video services using the Internet. Therefore, a method for improving the quality of experience (QoE) of a video service in mobile environments is required. This paper presents a traffic management method using the mobile edge cloud. The mobile edge cloud is placed in the mobile edge network and monitors the status of mobile terminals. Through the mobile edge cloud, it becomes possible to effectively manage the traffic of mobile terminals by the network. The proposed method manages video traffic from the content server on the Internet according to the edge network status and mobility of a mobile terminal, and provides video traffic to mobile terminals. This method, using the mobile edge cloud, leads to improvement of the QoE for mobile video users. The superiority of this method compared to currently available systems was validated by computer simulation.

Kesiapan Siswa yang Ditinggalkan Orangtua dalam Menghadapi Ujian

Readiness is the overall condition of a person who makes ready to respond/ answer in a certain way to a situation. Readiness is defined in this study is in the examination readiness. Examination is a way how to know the understanding of lesson level has been studied by student. The fact at the school, a lot of students have bad prepare to take examination. This research is descriptive and aimed to description about the prepare of students whose are left by their parents to take examination. This research can be conclude that the prepare of students whose are abandoned from their parents to take examination is good category. Implications of guidance and counseling services of the students whose are left by from their parents to take examination through of content services, placement and distribution services, group counseling and individual counseling

Creation and interaction with large-scale domain-specific knowledge bases

The ability to create and interact with large-scale domain-specific knowledge bases from unstructured/semi-structured data is the foundation for many industry-focused cognitive systems. We will demonstrate the Content Services system that provides cloud services for creating and querying high-quality domain-specific knowledge bases by analyzing and integrating multiple (un/semi)structured content sources. We will showcase an instantiation of the system for a financial domain. We will also demonstrate both cross-lingual natural language queries and programmatic API calls for interacting with this knowledge base.

RSNC-based Mechanism against Content Pollution Attack Method in NDN

Network coding facilitates content distribution for named data networking (NDN), which improves the cache hit ratio, decreases average download time and reduces transmission amount. However, NDN is likely to cause content pollution attacks because of the cache mechanism and network coding. Request-specific network coding (RSNC) is a new class of network coding mechanism, by introducing the homomorphic hash mechanism, and this paper proposes a new method based on RSNC mechanism against content pollution attack in NDN. The new method, firstly, ensures consumers receiving linear independent coding blocks by using RSNC. Secondly, the content server adopts content-chunk-based transmission mechanism, and binds the name and content by homomorphic signing the transferred content blocks and names. Thirdly, using dynamic public key technique, our scheme authenticates each generation without updating the initial secret key. Finally, using homomorphic hash can verify the signature receives by intermediate nodes or the destination nodes. By security analysis and proof, the new method can resist the content pollution attack in the named data networking while guaranteeing the network performance and resist the Intra/Inter-GPAs at the same time.

Services Rich and Systems Poor in Springfield, MO

Anthropology NewsVolume 58, Issue 4 p. e311-e313 July/August Online Content Services Rich and Systems Poor in Springfield, MO Kara Venzian, Kara VenzianSearch for more papers by this author Kara Venzian, Kara VenzianSearch for more papers by this author First published: 21 February 2018 https://doi.org/10.1111/AN.525AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume58, Issue4Special Issue: The Sections EditionJuly/August 2017Pages e311-e313 RelatedInformation

Internet Service Providers and its Role of Hosting User Generated Content under the United Kingdom and European Union Regime

It cannot be argued that the most vital steering force of the development of the Internet is the existence of the Internet Service Providers (ISPs). Essentially, the ISP’s crucial task is to provide access, however, the nature of the Internet has rendered these ISPs to act beyond providing a mere ‘access’ and extend their services onto other spheres, which include both commercial and non-commercial aspects. Accordingly it is not surprising to find that many ISPs also play the role of host for much of the content online. That is to say, content creators can make their materials available online by telling the ISPs to store a copy of any material they upload to web pages. Therefore, as the host of these contents, the ISPs no longer merely providing general access to the Internet but also hosting and allowing these contents to be accessible by their subscribers. In fact, many large ISPs also offer their own additional content services and, as a result, this event has led to a much disputed discussion concerning the role of the ISP’s that has become overlapped between being an access provider and the content provider. The essay will accordingly examined and discuss the complications of the content provider role the ISPs play in nowadays digital society.

Sexual and Gender Minority Health Curricula and Institutional Support Services at U.S. Schools of Public Health

ABSTRACTLimited research has examined the ways in which public health training programs equip students to address health disparities affecting the lesbian, gay, bisexual, and transgender (LGBT) community and other sexual and gender minority (SGM) populations. This study outlines the availability of public health curricula on SGM health topics, and the prevalence of LGBT and SGM-inclusive institutional support services across CEPH-accredited U.S. schools of public health. Content analysis of all course offerings related to gender and sexuality revealed a limited focus on sexual and gender minority health: just 4.7% of courses contained keywords indicating that LGBT or SGM health topics were covered. Similar analysis of institutional support services available at U.S. schools of public health found that only 25% of schools had LGBT student organizations, and just 19% had an office of diversity that specifically advertised LGBT or SGM-inclusive programming or services on the institution’s Web site. Finally, only two of 52 schools offered an educational certificate centered on LGBT health. These findings illustrate a significant need for enhanced curricular content and institutional support services that equip public health students to address SGM health disparities. Improvement in this area may encourage future health care professionals to work to reduce these disparities, to improve SGM persons’ experiences in health care settings, and to generate further research in this area.