Extraction and Annotation of News Topics From TV Streams for Web Video Sharing

Today, with increased internet access, users are often interested in new content-based multimedia applications of high added value such as interactive TV, video on demand (VoD), and catch-up TV services such as YouTube or Dailymotion frameworks. Despite the easy and rapid access to media information of these services, they present the risk of the wide propagation of fake news. As a solution, the authors propose that the input for these services must be from a trustworthy traditional media, precisely TV program content. So, the automatic process of TV program identification and their internal segmentation facilitate the availability of these programs. In this chapter, the major originality of the authors' approach is the use of contextual and operational characteristics of TV production rules as prior knowledge that captures the structure for recurrent TV news program content. The authors validate their approach by experiments conducted using the TRECVID dataset that demonstrate its robustness.

Improved Indoor Geo-Localization System

In the concept of internet of things (IOT), physical position of smart object is very useful for relevant function over sensor networks. However, the invalid information of indoor geo-localization systems relative to these wireless sensor compromises the intelligence of IOT network. Therefore, this chapter produces the recent progress in the indoor geo-localization systems and the IOTs area. It defines the best indoor geo-localization technologies that meet their needs while respecting the constraints related to sensor networks. This framework combines between simplicity of Bluetooth low energy (BLE), popular wi-fi infrastructure, and the k-nearest neighbor (KNN) algorithm (in order to filter the initial fingerprint dataset). This new conception increases real-time detection accuracy and guarantees the low energy consumption.

Knowledge Framework for Online Learning

While online education continues to grow, virtual instructors face certain asynchronous uncertainties when it comes to knowledge exchange with students. These challenges are especially prevalent in the cybersecurity and programming domains. To counteract such uncertainties and minimize teaching deficiencies expected to occur in asynchronous learning environments, this chapter assesses knowledge factors that impact virtual knowledge transfer and absorption processes. Synchronicity framework is proposed to integrate knowledge-seeking behavior, knowledge properties, knowledge domains, knowledge types, knowledge tools, and technology synchronicity. A real-life case is provided to integrate the framework in practice.

On the Way to Smart Education and Urban Society

This chapter summarizes the development and transformation of the International Journal of Knowledge Society Research (IJKSR) into a new form called the International Journal of Smart Education and Urban Society (IJSEUS). In the chapter, there is used literature review methodology to analyze the 199 articles published in 32 issues from 2010 to 2017. The obtained results allow us to ascertain what were the emerging topics published in the journal, which types of research article are published more often, and which countries are represented. The aggregated data also allow us to identify future directions in developing a journal and promoting its visibility and citation. The descriptive analysis method was adopted for data analysis, the quantitative data were compiled using Excel software, and the content analysis was done descriptively by defining the research categories.

Classification of Traffic Events in Mexico City Using Machine Learning and Volunteered Geographic Information

Volunteer geographic information and user-generated content represents a source of updated information about what people perceive from their environment. Its analysis generates the opportunity to develop processes to study and solve social problems that affect the people's lives, merging technology and real data. One of the problems in urban areas is the traffic. Every day at big cities people lose time, money, and life quality when they get stuck in traffic jams; another urban problem derived from traffic is air pollution. In the present approach, a traffic event classification methodology is implemented to analyze VGI and internet information related to traffic events with a view to identify the main traffic problems in a city and to visualize the congested roads. The methodology uses different computing tools and algorithms to achieve the goal. To obtain the data, a social media and RSS channels are consulted. The extracted data texts are classified into seven possible traffic events, and geolocalized. In the classification, a machine learning algorithm is applied.

Academicians Quality of Work Life and Its Influence on Value of Education

The value of education is a dynamic and multi-dimensional concept that refers not only to the educational model but also to the institutional mission and its goals, as well as to the specific standards of the system, facility, program, or event. In today's competitive scenario, the academic institutions need to focus explicitly on providing effective and quality education to the students with the help of experienced academicians. The education quality would increase when the faculty members are having a better quality of work life, and this can be possible by providing better welfare conveniences to them by the academic institutions. Welfare amenities enable the staff members to live a quality and more satisfactory life. These facilities also help to keep their motivation levels high. The chapter articulates the existence of quality of work life programs in academic institutions in order to retain valuable faculty members who influence the value of education.

Managing Multi-Cloud Data Dependability Faults

Cloud computing is considered a great paradigm that enables access to large scale, on demand, flexible computing infrastructure. Lower infrastructure cost and better application performance are some of the benefits of utilizing a cloud computing model. With the appearance of the new generation of multi-cloud computing, clients can benefit from a diversity of services. However, data security has become an important requirement for clients when dealing with clouds that may fail due to faults in the software or hardware, or attacks from malicious insiders. Hence, building a highly dependable and reliable cloud system has become a critical research problem. To that end, this chapter investigates and presents the results in relation to that how Byzantine fault tolerance (BFT) and secure cloud data storage and sharing techniques can be deployed to manage multi-cloud data dependability faults.

Exploring Knowledge Activities for Bringing Saudi Arabia and the BRICS Together

This chapter explores the promotion of knowledge cooperation between the Kingdom of Saudi Arabia (KSA) and the BRICS (Brazil, Russia, India, China, and South Africa). The knowledge activities considered include knowledge creation, diffusion, utilization, and sharing. The chapter introduces a knowledge assessment framework based on UNESCO knowledge society paradigm, and on available international indicators. The framework gives an index of “28 indicators.” It provides a criterion for comparing the measured values of the indicators among countries to enable identifying prioritized knowledge cooperation opportunities that bring countries together. The framework is used to investigate these opportunities between the KSA and the BRICS. It has been found that knowledge activities in KSA enjoy high enablement levels from which the BRICS can gain, while knowledge activities in the BRICS emphasize knowledge productivity from which KSA can gain. Bridging the gap between the two sides will be useful to both, and to building global knowledge societies that lead to world peace and prosperity.

The Era After Oil

This chapter investigates seven Gulf cities (Kuwait City, Manama, Doha, Abu Dhabi, Dubai, Sharjah, and Muscat) that have grown rich due to large reserves of oil and natural gas. Now, with the threat of ending resources, governments focus on the development towards a knowledge society with knowledge-based industries and knowledge-intensive cities. The authors analyzed the cities in terms of their “smartness” or “informativeness” by field research on-site, a quantitative survey and in-depth qualitative interviews (N = 34). They studied prototypical building blocks of a city of the knowledge society, namely infrastructures (digital city, smart, green and sustainable city, creative city, and knowledge city), economy, politics and administration, location factors, as well as physical and digital spaces. Especially Doha in Qatar is well on its way towards becoming an informational city, but also Dubai and Sharjah (both in the United Arab Emirates) received good scores.

Technology-Enhanced Learning (TEL) in Higher Education

As technologies become more exciting, interactive, and reachable, various technological solutions are used in higher education. On the one hand, there is the conviction that technologies are indispensable, both for improving learning and for making learning process more effective, both in terms of learning outcomes and in terms of costs. Additionally, technology and technological solutions can provide sustainability of knowledge because students develop the competences that they will need in their future professional work. This chapter summarises the systematic literature review (SLR) carried out by the authors in analysing research that has been done on the impact of technology-enhanced learning on learning outcomes in order to understand what emerging research has been done, as the authors published a similar study one year ago. The SLR was conducted for the period of 2010 to 2018 by selecting peer-reviewed articles on specified terms. The selected articles were then analysed following sub-purposes. The descriptive analysis method was adopted for the data analysis.