Open issues and future directions in revenue management

2008 ◽  
Vol 7 (3) ◽  
pp. 291-301 ◽  
Author(s):  
Leslie M Bobb ◽  
Emre Veral
Keyword(s):  
Revenue Management ◽  
Future Directions ◽  
Open Issues

Trust models of internet of smart things: A survey, open issues, and future directions

2019 ◽  
Vol 137 ◽  
pp. 93-111 ◽  
Author(s):  
Ayesha Altaf ◽  
Haider Abbas ◽  
Faiza Iqbal ◽  
Abdelouahid Derhab
Keyword(s):  
Future Directions ◽  
Trust Models ◽  
Smart Things ◽  
Open Issues

Sensing as a Service in Cloud-Centric Internet of Things Architecture

2015 ◽  
pp. 83-115 ◽  
Author(s):  
Burak Kantarci ◽  
Hussein T. Mouftah
Keyword(s):  
Internet Of Things ◽  
Mobile Devices ◽  
Service Provider ◽  
The Internet ◽  
Communication Overhead ◽  
Future Directions ◽  
Iot Applications ◽  
Cloud Servers ◽  
The Internet Of Things ◽  
Open Issues

Sensing-as-a-Service (S2aaS) is a cloud-inspired service model which enables access to the Internet of Things (IoT) architecture. The IoT denotes virtually interconnected objects that are uniquely identifiable, and are capable of sensing, computing and communicating. Built-in sensors in mobile devices can leverage the performance of IoT applications in terms of energy and communication overhead savings by sending their data to the cloud servers. Sensed data from mobile devices can be accessed by IoT applications on a pay-as-you-go fashion. Efficient sensing service provider search techniques are emerging components of this architecture, and they should be accompanied with effective sensing provider recruitment algorithms. Furthermore, reliability and trustworthiness of participatory sensed data appears as a big challenge. This chapter provides an overview of the state of the art in S2aaS systems, and reports recent proposals to address the most crucial challenges. Furthermore, the chapter points out the open issues and future directions for the researchers in this field.

Agent-based systems for human learners

2010 ◽  
Vol 25 (2) ◽  
pp. 111-135 ◽  
Author(s):  
Elizabeth Sklar ◽  
Debbie Richards
Keyword(s):  
Learning Activities ◽  
Pedagogical Agents ◽  
Future Directions ◽  
Agent Architectures ◽  
Agent Based ◽  
Learning Agents ◽  
Interdisciplinary Field ◽  
Science And Education ◽  
The Subject ◽  
Open Issues

AbstractApplying intelligent agent technologies to support human learning activities has been the subject of recent work that reaches across computer science and education disciplines. This article discusses agent-based approaches that have been designed to address a range of pedagogical and/or curricular tasks. Three types of agents are identified in the literature:pedagogical agents,peer-learning agents, anddemonstrating agents. Features of each type are considered, as well as the systems in which these agents are incorporated, examining common and divergent goals, system and agent architectures, and evaluation methodologies. Open issues are highlighted, and future directions for this burgeoning interdisciplinary field are suggested.

scholarly journals Automatic Language Identification in Texts: A Survey

2019 ◽  
Vol 65 ◽  
Author(s):  
Tommi Jauhiainen ◽  
Marco Lui ◽  
Marcos Zampieri ◽  
Timothy Baldwin ◽  
Krister Lindén
Keyword(s):  
Natural Language ◽  
Text Processing ◽  
Language Identification ◽  
End User ◽  
Future Directions ◽  
Extensive Survey ◽  
Input Text ◽  
History Of ◽  
Processing Techniques ◽  
Open Issues

Language identification (“LI”) is the problem of determining the natural language that a document or part thereof is written in. Automatic LI has been extensively researched for over fifty years. Today, LI is a key part of many text processing pipelines, as text processing techniques generally assume that the language of the input text is known. Research in this area has recently been especially active. This article provides a brief history of LI research, and an extensive survey of the features and methods used in the LI literature. We describe the features and methods using a unified notation, to make the relationships between methods clearer. We discuss evaluation methods, applications of LI, as well as off-the-shelfLI systems that do not require training by the end user. Finally, we identify open issues, survey the work to date on each issue, and propose future directions for research in LI.

scholarly journals A Review on LiFi Network Research: Open Issues, Applications and Future Directions

2021 ◽  
Vol 11 (23) ◽  
pp. 11118
Author(s):  
Rozin Badeel ◽  
Shamala K. Subramaniam ◽  
Zurina Mohd Hanapi ◽  
Abdullah Muhammed
Keyword(s):  
High Speed ◽  
Wide Spectrum ◽  
New Technology ◽  
Future Directions ◽  
Advantages And Disadvantages ◽  
Research Areas ◽  
Depth Analysis ◽  
Connection System ◽  
User Access ◽  
Open Issues

This paper extensively reviews and analyses Light Fidelity (LiFi), a new technology that uses light to transmit data as a high-speed wireless connection system from a wide spectrum of domains. An in-depth analysis and classifications of pertinent research areas for LiFi networks are presented in this paper. The various aspects constituting this paper include a detailed literature review, proposed classifications, and statistics, which further is deliberated to encompass applications, system architecture, system components, advantages, and disadvantages. LiFi and other technologies are compared, multi-user access techniques used in LiFi networks are investigated and open issues are addressed in detail. The paper is concluded with a comprehensive taxonomy of literature comparison that has served as the basis of the proposed open issues and research trends.

scholarly journals Hand-based multibiometric systems: state-of-the-art and future challenges

2021 ◽  
Vol 7 ◽  
pp. e707
Author(s):  
Anum Aftab ◽  
Farrukh Aslam Khan ◽  
Muhammad Khurram Khan ◽  
Haider Abbas ◽  
Waseem Iqbal ◽  
...  
Keyword(s):  
Performance Measures ◽  
State Of The Art ◽  
Personal Identification ◽  
Cancelable Biometrics ◽  
Future Directions ◽  
Biometric Systems ◽  
Future Challenges ◽  
Template Protection ◽  
Identification Tags ◽  
Open Issues

The traditional methods used for the identification of individuals such as personal identification numbers (PINs), identification tags, etc., are vulnerable as they are easily compromised by the hackers. In this paper, we aim to focus on the existing multibiometric systems that use hand based modalities for the identification of individuals. We cover the existing multibiometric systems in the context of various feature extraction schemes, along with an analysis of their performance using one of the performance measures used for biometric systems. Later, we cover the literature on template protection including various cancelable biometrics and biometric cryptosystems and provide a brief comment about the methods used for multibiometric template protection. Finally, we discuss various open issues and challenges faced by researchers and propose some future directions that can enhance the security of multibiometric templates.

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