A Review on mobile application energy profiling: Taxonomy, state-of-the-art, and open research issues

2015 ◽  
Vol 58 ◽  
pp. 42-59 ◽  
Author(s):  
Raja Wasim Ahmad ◽  
Abdullah Gani ◽  
Siti Hafizah Ab. Hamid ◽  
Feng Xia ◽  
Muhammad Shiraz
Keyword(s):  
Mobile Application ◽  
State Of The Art ◽  
Research Issues ◽  
Open Research ◽  
Energy Profiling

Current Trends in Wireless Sensor Network Design

2005 ◽  
Vol 1 (1) ◽  
pp. 101-122 ◽  
Author(s):  
Neha Jain ◽  
Dharma P. Agrawal
Keyword(s):  
Sensor Networks ◽  
State Of The Art ◽  
Wireless Sensor ◽  
Research Issues ◽  
Autonomous Operation ◽  
Sensor Network Design ◽  
Current Trends ◽  
Current State ◽  
Open Research ◽  
Technological Area

The self-organizing nature of sensor networks, their autonomous operation and potential architectural alternatives make them suitable for different data-centric applications. Their wider acceptance seems to be rising on the horizon. In this article, we present an overview of the current state of the art in the field of wireless sensor networks. We also present various open research issues and provide an insight about the latest developments that need to be explored in greater depth that could possibly make this emerging technological area more useful than ever.

Data Replication Support for Collaboration in Mobile and Ubiquitous Computing Environments

2011 ◽  
pp. 1132-1154
Author(s):  
João Barreto ◽  
Paulo Ferreira
Keyword(s):  
Ubiquitous Computing ◽  
Strong Consistency ◽  
State Of The Art ◽  
Data Replication ◽  
Research Issues ◽  
Open Research ◽  
Computing Environments ◽  
Ubiquitous Computing Environments

We analyze state-of-the art solutions, discussing their strengths and weaknesses along three main effectiveness dimensions: (i) faster strong consistency, (ii) with less aborted work, while (iii) minimizing both the amount of data exchanged between and stored at replicas; and identify open research issues.

Towards next generation coordination infrastructures

2015 ◽  
Vol 30 (4) ◽  
pp. 435-453 ◽  
Author(s):  
Juan A. Rodriguez-Aguilar ◽  
Carles Sierra ◽  
Josep Ll. Arcos ◽  
Maite Lopez-Sanchez ◽  
Inmaculada Rodriguez
Keyword(s):  
Multiagent Systems ◽  
State Of The Art ◽  
Human Interaction ◽  
Agent Technology ◽  
Technology Research ◽  
Next Generation ◽  
Research Issues ◽  
Research Challenges ◽  
Open Research ◽  
On Line

AbstractCoordination infrastructures play a central role in the engineering of multiagent systems. Since the advent of agent technology, research on coordination infrastructures has produced a significant number of infrastructures with varying features. In this paper, we review the the state-of-the-art coordination infrastructures with the purpose of identifying open research challenges that next generation coordination infrastructures should address. Our analysis concludes that next generation coordination infrastructures must address a number of challenges: (i) to becomesocially aware, by facilitating human interaction within a MAS; (ii) to assist agents in their decision making by providingdecision supportthat helps them reduce the scope of reasoning and facilitates the achievement of their goals; and (iii) to increaseopennessto support on-line, fully decentralised design and execution. Furthermore, we identify some promising approaches in the literature, together with the research issues worth investigating, to cope with such challenges.

scholarly journals Introductory programming course: review and future implications

2021 ◽  
Vol 7 ◽  
pp. e647
Author(s):  
Uzma Omer ◽  
Muhammad Shoaib Farooq ◽  
Adnan Abid
Keyword(s):  
Teaching And Learning ◽  
State Of The Art ◽  
Special Significance ◽  
Cognitive Assessments ◽  
Introductory Programming ◽  
Research Issues ◽  
Open Research ◽  
Performance Predictions ◽  
Art Research ◽  
And Performance

The introductory programming course (IPC) holds a special significance in computing disciplines as this course serves as a prerequisite for studying the higher level courses. Students generally face difficulties during their initial stages of learning how to program. Continuous efforts are being made to examine this course for identifying potential improvements. This article presents the review of the state-of-the-art research exploring various components of IPC by examining sixty-six articles published between 2014 and 2020 in well-reputed research venues. The results reveal that several useful methods have been proposed to support teaching and learning in IPC. Moreover, the research in IPC presented useful ways to conduct assessments, and also demonstrated different techniques to examine improvements in the IPC contents. In addition, a variety of tools are evaluated to support the related course processes. Apart from the aforementioned facets, this research explores other interesting dimensions of IPC, such as collaborative learning, cognitive assessments, and performance predictions. In addition to reviewing the recent advancements in IPC, this study proposes a new taxonomy of IPC research dimensions. Furthermore, based on the successful practices that are listed in the literature, some useful guidelines and advices for instructors have also been reported in this article. Lastly, this review presents some pertinent open research issues to highlight the future dimensions for IPC researchers.

A Survey on Design Rationale: Representation, Capture and Retrieval

2000 ◽  
Author(s):  
Xiaochun Hu ◽  
Jun Pang ◽  
Yan Pang ◽  
Michael Atwood ◽  
Wei Sun ◽  
...  
Keyword(s):  
State Of The Art ◽  
Mechanical Design ◽  
Design Rationale ◽  
Research Issues ◽  
Knowledge Based ◽  
Current State ◽  
Open Research ◽  
Design Software ◽  
Prototype Design ◽  
Interaction Research

Abstract This paper provides a brief survey on recent research in the area of design rationale. The study of Design Rationale spans a number of diverse disciplines, touching on concepts from research communities in Mechanical Design, Software Engineering, Artificial Intelligence, Civil Engineering and Human-Factors and Human-Computer Interaction research. We focus this survey on prototype design rationale systems for these application domains and put forward several major axes along which to describe and classify design rationale systems, including argumentation-based, descriptive, and process-based approaches. Further, we attempt to abstract the place of systems and tools for design rationale capture and retrieval in the context of contemporary knowledge-based engineering and CAD tools. This survey is structured around the fundamental different approaches, their representation schema, their capture methods, and retrieval techniques. A number of recent design rationale systems and representation schemes are presented, including JANUS, COMET, ADD, REMAP, HOS, PHIDIAS, DRIVE, IBIS. We conclude with an assessment of the current state-of-the-art and a discussion of critical open research issues.

Dynamic Spectrum Management via Machine Learning: State of the Art, Taxonomy, Challenges, and Open Research Issues

IEEE Network ◽  
2019 ◽  
Vol 33 (4) ◽  
pp. 54-62 ◽  
Author(s):  
Fuhui Zhou ◽  
Guanyue Lu ◽  
Miaowen Wen ◽  
Ying-Chang Liang ◽  
Zheng Chu ◽  
...  
Keyword(s):  
Machine Learning ◽  
State Of The Art ◽  
Spectrum Management ◽  
Dynamic Spectrum ◽  
Research Issues ◽  
Dynamic Spectrum Management ◽  
Open Research

Machine Learning into Metaheuristics

2021 ◽  
Vol 54 (6) ◽  
pp. 1-32
Author(s):  
El-Ghazali Talbi
Keyword(s):  
Machine Learning ◽  
Optimization Problem ◽  
State Of The Art ◽  
Research Topic ◽  
High Quality ◽  
Research Issues ◽  
The Past ◽  
Open Research ◽  
Comprehensive Survey ◽  
High Level

During the past few years, research in applying machine learning (ML) to design efficient, effective, and robust metaheuristics has become increasingly popular. Many of those machine learning-supported metaheuristics have generated high-quality results and represent state-of-the-art optimization algorithms. Although various appproaches have been proposed, there is a lack of a comprehensive survey and taxonomy on this research topic. In this article, we will investigate different opportunities for using ML into metaheuristics. We define uniformly the various ways synergies that might be achieved. A detailed taxonomy is proposed according to the concerned search component: target optimization problem and low-level and high-level components of metaheuristics. Our goal is also to motivate researchers in optimization to include ideas from ML into metaheuristics. We identify some open research issues in this topic that need further in-depth investigations.

scholarly journals Photovoltaics Enabling Sustainable Energy Communities: Technological Drivers and Emerging Markets

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1862
Author(s):  
Alexandros-Georgios Chronis ◽  
Foivos Palaiogiannis ◽  
Iasonas Kouveliotis-Lysikatos ◽  
Panos Kotsampopoulos ◽  
Nikos Hatziargyriou
Keyword(s):  
State Of The Art ◽  
Research Question ◽  
Economic Benefits ◽  
Energy Market ◽  
Small Scale ◽  
Local Energy ◽  
Community Members ◽  
Open Research ◽  
Energy Community

In this paper, we investigate the economic benefits of an energy community investing in small-scale photovoltaics (PVs) when local energy trading is operated amongst the community members. The motivation stems from the open research question on whether a community-operated local energy market can enhance the investment feasibility of behind-the-meter small-scale PVs installed by energy community members. Firstly, a review of the models, mechanisms and concepts required for framing the relevant concepts is conducted, while a clarification of nuances at important terms is attempted. Next, a tool for the investigation of the economic benefits of operating a local energy market in the context of an energy community is developed. We design the local energy market using state-of-the-art formulations, modified according to the requirements of the case study. The model is applied to an energy community that is currently under formation in a Greek municipality. From the various simulations that were conducted, a series of generalizable conclusions are extracted.

scholarly journals Users roles identification on online crowdsourced Q&A platforms and encyclopedias: a survey

2021 ◽  
Author(s):  
Akrati Saxena ◽  
Harita Reddy
Keyword(s):  
Network Analysis ◽  
Knowledge Sharing ◽  
Informal Learning ◽  
Social Roles ◽  
Online Discussion ◽  
State Of The Art ◽  
Temporal Analysis ◽  
The State ◽  
Open Research ◽  
Research Questions

AbstractOnline informal learning and knowledge-sharing platforms, such as Stack Exchange, Reddit, and Wikipedia have been a great source of learning. Millions of people access these websites to ask questions, answer the questions, view answers, or check facts. However, one interesting question that has always attracted the researchers is if all the users share equally on these portals, and if not then how the contribution varies across users, and how it is distributed? Do different users focus on different kinds of activities and play specific roles? In this work, we present a survey of users’ social roles that have been identified on online discussion and Q&A platforms including Usenet newsgroups, Reddit, Stack Exchange, and MOOC forums, as well as on crowdsourced encyclopedias, such as Wikipedia, and Baidu Baike, where users interact with each other through talk pages. We discuss the state of the art on capturing the variety of users roles through different methods including the construction of user network, analysis of content posted by users, temporal analysis of user activity, posting frequency, and so on. We also discuss the available datasets and APIs to collect the data from these platforms for further research. The survey is concluded with open research questions.

Sign in / Sign up

Export Citation Format

Share Document