Application of Nanotechnology in Civil Engineering

2011 ◽  
Vol 261-263 ◽  
pp. 520-523 ◽  
Author(s):  
Hamed Nabizadeh Rafsanjani ◽  
Mehdi Kadivar
Keyword(s):  
Civil Engineering ◽  
Characteristic Dimension ◽  
Science And Engineering ◽  
Research Areas ◽  
Active Research ◽  
Design Construction ◽  
Broad Overview

Nanotechnology is a science concerned with the design, construction and utilization of functional structures with at least one characteristic dimension measured in nanometres. Nanotechnology initially developed in the fields of physics and chemistry, and most fundamental developments still occur in these fields. Nanotechnology also needs to be applied in areas such as the engineering field. Obviously, the application of nanotechnology to science and engineering has increased in other fields over the years. One area which is one of the most active research areas in the field of nanotechnology is civil engineering. This paper presents a broad overview of the application of nanotechnology in the civil engineering.

Research trends in sociological studies on social security and welfare

2021 ◽  
pp. 026858092110053
Author(s):  
Koichi Hiraoka
Keyword(s):  
Social Security ◽  
Research Trends ◽  
Important Research ◽  
Research Results ◽  
The Past ◽  
Active Research ◽  
The Many ◽  
Sociological Studies ◽  
Broad Overview

This article reviews the research trends in welfare sociology (sociological studies on social security and welfare), one of the many subfields of active research in sociology in Japan. For this purpose, several research streams formed from the 1970s to the 2000s are described, and some of the most important research results produced within these in the past two decades are introduced. In the latter part of this article, a broad overview of the research trends in Japanese welfare sociology is attempted by focusing on the contents of the journal published by the Japan Welfare Sociology Association (JWSA).

scholarly journals REVIEW OF USE OF NANO MATERIAL IN MODIFYING THE PROPERTIES OF CONCRETE

2019 ◽  
Vol 4 ◽  
pp. 9
Author(s):  
Irfan U. Jan
Keyword(s):  
High Performance ◽  
Civil Engineering ◽  
High Performance Concrete ◽  
Biomedical Sciences ◽  
Concrete Technology ◽  
Nano Material ◽  
Promising Area ◽  
Active Research ◽  
Electronic Chemical ◽  
Modern Technologies

Modern technologies have affected all fields of human activities. Traditionally nanotechnologies deal with material having a dimension in the range of one billionth of a meter or 100 Nano meter in size. It has been widely used in natural sciences and biomedical sciences in the fields like microbiology, medicine, electronic, chemical, and materials sciences. The application of nontechnology and Nano material in Civil Engineering is still under active research in the areas of Concrete Technology, Construction management, water purification systems, Properties of Concrete at early ages and use of modern polymers in producing High Performance Concrete (HPC). The use of Nano material to produce relatively sustainable concrete represents a promising area of research in Nano material. In this paper the State of the Art of application of Nanotechnologies to Civil Engineering and its future prospects with special reference to sustainability in construction.

A Survey of Contemporary Identity and Access Management Architectures

2018 ◽  
pp. 90-128
Keyword(s):  
Knowledge Base ◽  
Access Management ◽  
Sole Purpose ◽  
Research Areas ◽  
Active Research

This chapter provides a summary of a number of organisations which are active in IAM researches. The technological and application contributions from each of the IAM contributing organisations, their key deliverables and the active research areas are discussed with the sole purpose in enlightening the knowledge base of the readers.

Part I Introduction, Ch.1 International Organizations in World Politics

2016 ◽  
Author(s):  
Pevehouse Jon ◽  
von Borzyskowski Inken
Keyword(s):  
Life Cycle ◽  
International Organizations ◽  
World Politics ◽  
Life Cycle Approach ◽  
Important Research ◽  
Research Areas ◽  
Broad Overview

This chapter gives a broad overview of international organizations (IOs) in world politics, highlighting some important research areas, while suggesting future avenues for progress. It follows the logical progression of the life cycle of a state's interaction with an IO: what explains the decision to form IOs; what form do the IOs take once a decision is made to create one; which issues are taken to IOs/which IOs are joined if they already exist; how do they operate; and do they achieve their stated goals. This life-cycle approach to IOs helps elucidate many of the puzzles concerning IOs, while suggesting how the answers to the puzzles potentially interact with one another.

scholarly journals Review of Clinical Research Informatics

2020 ◽  
Vol 29 (01) ◽  
pp. 193-202
Author(s):  
Anthony Solomonides
Keyword(s):  
Artificial Intelligence ◽  
Clinical Research ◽  
Big Data Analytics ◽  
Medical Knowledge ◽  
Data Models ◽  
Research Areas ◽  
Personal Awareness ◽  
Real World Evidence ◽  
Clinical Research Informatics ◽  
Active Research

Objectives: Clinical Research Informatics (CRI) declares its scope in its name, but its content, both in terms of the clinical research it supports—and sometimes initiates—and the methods it has developed over time, reach much further than the name suggests. The goal of this review is to celebrate the extraordinary diversity of activity and of results, not as a prize-giving pageant, but in recognition of the field, the community that both serves and is sustained by it, and of its interdisciplinarity and its international dimension. Methods: Beyond personal awareness of a range of work commensurate with the author’s own research, it is clear that, even with a thorough literature search, a comprehensive review is impossible. Moreover, the field has grown and subdivided to an extent that makes it very hard for one individual to be familiar with every branch or with more than a few branches in any depth. A literature survey was conducted that focused on informatics-related terms in the general biomedical and healthcare literature, and specific concerns (“artificial intelligence”, “data models”, “analytics”, etc.) in the biomedical informatics (BMI) literature. In addition to a selection from the results from these searches, suggestive references within them were also considered. Results: The substantive sections of the paper—Artificial Intelligence, Machine Learning, and “Big Data” Analytics; Common Data Models, Data Quality, and Standards; Phenotyping and Cohort Discovery; Privacy: Deidentification, Distributed Computation, Blockchain; Causal Inference and Real-World Evidence—provide broad coverage of these active research areas, with, no doubt, a bias towards this reviewer’s interests and preferences, landing on a number of papers that stood out in one way or another, or, alternatively, exemplified a particular line of work. Conclusions: CRI is thriving, not only in the familiar major centers of research, but more widely, throughout the world. This is not to pretend that the distribution is uniform, but to highlight the potential for this domain to play a prominent role in supporting progress in medicine, healthcare, and wellbeing everywhere. We conclude with the observation that CRI and its practitioners would make apt stewards of the new medical knowledge that their methods will bring forward.

Distributed Approach for QoS Guarantee to Wireless Multimedia

2007 ◽  
pp. 195-201
Author(s):  
K. Chetan ◽  
P. Venkataram ◽  
R. Sircar
Keyword(s):  
Ieee 802.11 ◽  
Wireless Multimedia ◽  
Distributed Coordination ◽  
Access Method ◽  
Qos Guarantee ◽  
Distributed Approach ◽  
Research Areas ◽  
Distributed Coordination Function ◽  
Active Research ◽  
Coordination Function

Providing support for QoS at the MAC layer in the IEEE 802.11 is one of the very active research areas. There are various methods that are being worked out to achieve QoS at MAC level. In this article we describe a proposed enhancement to the DCF (distributed coordination function) access method to provide QoS guarantee for wireless multimedia applications.

Status of wetland research in China

2020 ◽  
Vol 71 (12) ◽  
pp. 1572 ◽  
Author(s):  
Jie Zhang ◽  
Shuqing An ◽  
Xin Leng
Keyword(s):  
Sustainable Use ◽  
Research Directions ◽  
The Sustainable Development ◽  
Research Areas ◽  
Biological Remediation ◽  
The Status ◽  
Active Research ◽  
Wetland Resources ◽  
Bibliometric Approach ◽  
Science Citation Index Expanded

This study used a bibliometric approach to quantitatively evaluate the status of wetland research in China using detailed information from 31794 articles retrieved from the Science Citation Index Expanded (SCIE) database and published from 1999 to 2019. We outline the progress of wetland research in China in terms of the number of articles published, active research institutions, funding provided, research directions, dynamic changes in the focus of the research and development trends. By analysing high-frequency keywords, we conclude that there are four focus areas of wetlands research in China: (1) climate change; (2) wetland pollution; (3) wetland plants and microorganisms; and (4) the conservation and management of wetlands. By combining focus area and high-citation analysis, we show that carbon storage and organic carbon mineralisation, biological remediation, constructed wetlands for the treatment of waste water and the sustainable use of ecological services are currently the most notable research areas, with a marked increase since 2009. These topics are in line with the focus of research globally over the past 6 years and are likely to become a primary research focus in future. The results of this study provide a useful theoretical basis and directions for further research in the sustainable development of wetland resources in China.

Novel Scalable Deep Learning Approaches for Big Data Analytics Applied to ECG Processing

2018 ◽  
Vol 9 (4) ◽  
pp. 33-51
Author(s):  
Rostom Mennour ◽  
Mohamed Batouche
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Learning Approaches ◽  
Ecg Signals ◽  
Research Areas ◽  
Gradient Descent Algorithm ◽  
Big Data Technologies ◽  
Active Research

Big data analytics and deep learning are nowadays two of the most active research areas in computer science. As the data is becoming bigger and bigger, deep learning has a very important role to play in data analytics, and big data technologies will give it huge opportunities for different sectors. Deep learning brings new challenges especially when it comes to large amounts of data, the volume of datasets has to be processed and managed, also data in various applications come in a streaming way and deep learning approaches have to deal with this kind of applications. In this paper, the authors propose two novel approaches for discriminative deep learning, namely LS-DSN, and StreamDSN that are inspired from the deep stacking network algorithm. Two versions of the gradient descent algorithm were used to train the proposed algorithms. The experiment results have shown that the algorithms gave satisfying accuracy results and scale well when the size of data increases. In addition, StreamDSN algorithm have been applied to classify beats of ECG signals and provided good promising results.

Social Economics

2017 ◽  
Keyword(s):  
Charitable Giving ◽  
Social Preferences ◽  
Economic Behavior ◽  
Social Economics ◽  
Social Phenomena ◽  
Mainstream Economics ◽  
Research Areas ◽  
Social Motivations ◽  
Value Diversity ◽  
Active Research

The growing field of social economics explores how individual behavior is affected by group-level influences, extending the approach of mainstream economics to include broader social motivations and incentives. This book offers a rich and rigorous selection of current work in the field, focusing on some of the most active research areas. Topics covered include culture, gender, ethics, and philanthropic behavior. Social economics grows out of dissatisfaction with a purely individualistic model of human behavior. This book shows how mainstream economics is expanding its domain beyond market and price mechanisms to recognize a role for cultural and social factors. Some chapters, in the tradition of Gary Becker, attempt to extend the economics paradigm to explain other social phenomena; others, following George Akerlof’s approach, incorporate sociological and psychological assumptions to explain economic behavior. Loosely organized by theme—Social Preferences; Culture, Values, and Norms; and Networks and Social Interactions”—the chapters address a range of subjects, including gender differences in political decisions, “moral repugnance” as a constraint on markets, charitable giving by the super-rich, value diversity within a country, and the influence of children on their parents’ social networks. Contributors Mireia Borrell-Porta, Sjoerd Beugelsdijk, Joan Costa-Font, Elwyn Davies, Julio Jorge Elias, Marcel Fafchamps, Luigi Guiso, Odelia Heizler, Ayal Kimhi, Mariko J. Klasing, Martin Ljunge, Mario Macis, Mark Ottoni-Wilhelm, Abigail Payne, Kelly Ragan, Jana Sadeh, Azusa Sato, Kimberley Scharf, Sarah Smith, Mirco Tonin, Michael Vlassopoulos, Evguenia Winschel, Philipp Zahn

scholarly journals A Fusion of Multiagent Functionalities for Effective Intrusion Detection System

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Dhanalakshmi Krishnan Sadhasivan ◽  
Kannapiran Balasubramanian
Keyword(s):  
Intrusion Detection ◽  
Real Time ◽  
Intrusion Detection System ◽  
Detection System ◽  
Detection Accuracy ◽  
The Real ◽  
Common Path ◽  
Research Areas ◽  
Water Pipeline ◽  
Active Research

Provision of high security is one of the active research areas in the network applications. The failure in the centralized system based on the attacks provides less protection. Besides, the lack of update of new attacks arrival leads to the minimum accuracy of detection. The major focus of this paper is to improve the detection performance through the adaptive update of attacking information to the database. We propose an Adaptive Rule-Based Multiagent Intrusion Detection System (ARMA-IDS) to detect the anomalies in the real-time datasets such as KDD and SCADA. Besides, the feedback loop provides the necessary update of attacks in the database that leads to the improvement in the detection accuracy. The combination of the rules and responsibilities for multiagents effectively detects the anomaly behavior, misuse of response, or relay reports of gas/water pipeline data in KDD and SCADA, respectively. The comparative analysis of the proposed ARMA-IDS with the various existing path mining methods, namely, random forest, JRip, a combination of AdaBoost/JRip, and common path mining on the SCADA dataset conveys that the effectiveness of the proposed ARMA-IDS in the real-time fault monitoring. Moreover, the proposed ARMA-IDS offers the higher detection rate in the SCADA and KDD cup 1999 datasets.

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