scholarly journals Internet-of-Things and Information Fusion: Trust Perspective Survey

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1929 ◽  
Author(s):  
Farag Azzedin ◽  
Mustafa Ghaleb
Keyword(s):  
Internet Of Things ◽  
Information Fusion ◽  
Data Sources ◽  
Fusion Process ◽  
Future Directions ◽  
Trust Modeling ◽  
Real Value ◽  
Trust Models ◽  
Trust Modelling

The advent of Internet-of-Things (IoT) is creating an ecosystem of smart applications and services enabled by a multitude of sensors. The real value of these IoT smart applications comes from analyzing the information provided by these sensors. Information fusion improves information completeness/quality and, hence, enhances estimation about the state of things. Lack of trust and therefore, malicious activities renders the information fusion process and hence, IoT smart applications unreliable. Behavior-related issues associated with the data sources, such as trustworthiness, honesty, and accuracy, must be addressed before fully utilizing these smart applications. In this article, we argue that behavior trust modeling is indispensable to the success of information fusion and, hence, to smart applications. Unfortunately, the area is still in its infancy and needs further research to enhance information fusion. The aim of this article is to raise the awareness and the need of behavior trust modelling and its effect on information fusion. Moreover, this survey describes IoT architectures for modelling trust as well as classification of current IoT trust models. Finally, we discuss future directions towards trustworthy reliable fusion techniques.

scholarly journals DOCODE 3.0 (DOcument COpy DEtector): A system for plagiarism detection by applying an information fusion process from multiple documental data sources

2016 ◽  
Vol 27 ◽  
pp. 64-75 ◽  
Author(s):  
Juan D. Velásquez ◽  
Yerko Covacevich ◽  
Francisco Molina ◽  
Edison Marrese-Taylor ◽  
Cristián Rodríguez ◽  
...  
Keyword(s):  
Information Fusion ◽  
Data Sources ◽  
Fusion Process ◽  
Plagiarism Detection

Fault Classification of Hydroelectric Generating Unit Based on Improved Evidence Theory

2014 ◽  
Vol 7 (1) ◽  
pp. 78-83 ◽  
Author(s):  
Jiatang Cheng ◽  
Li Ai ◽  
Zhimei Duan ◽  
Yan Xiong
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Evidence Theory ◽  
Fault Classification ◽  
Fusion Method ◽  
Inconsistent Result ◽  
High Conflict

Aiming at the problem of the conventional vibration fault diagnosis technology with inconsistent result of a hydroelectric generating unit, an information fusion method was proposed based on the improved evidence theory. In this algorithm, the original evidence was amended by the credibility factor, and then the synthesis rule of standard evidence theory was utilized to carry out information fusion. The results show that the proposed method can obtain any definitive conclusion even if there is high conflict evidence in the synthesis evidence process, and may avoid the divergent phenomenon when the consistent evidence is fused, and is suitable for the fault classification of hydroelectric generating unit.

scholarly journals Internet of Things 2.0: Concepts, Applications, and Future Directions

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ian Zhou ◽  
Imran Makhdoom ◽  
Negin Shariati ◽  
Muhammad Ahmad Raza ◽  
Rasool Keshavarz ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Future Directions

Classification of raw cow milk using information fusion framework

2021 ◽  
Author(s):  
Olcay Polat ◽  
Seda Gökçe Akçok ◽  
Mehmet Anıl Akbay ◽  
Duygu Topaloğlu ◽  
Seher Arslan ◽  
...  
Keyword(s):  
Information Fusion ◽  
Cow Milk ◽  
Fusion Framework

scholarly journals THE PROBLEM OF TYPOLOGY IN CHINESE ARCHAEOLOGY

Early China ◽  
2016 ◽  
Vol 39 ◽  
pp. 21-52 ◽  
Author(s):  
Anke Hein
Keyword(s):  
English Language ◽  
Archaeological Research ◽  
Future Directions ◽  
Chinese Archaeology ◽  
Archaeological Method And Theory ◽  
Archaeological Work ◽  
History Of ◽  
Archaeological Method ◽  
The Rich

AbstractChinese and Western archaeologists (especially those of the anthropologically-oriented tradition) often seem to be talking past each other, not only because they are publishing in different languages, but also because of differences in theory and method. While most of the major theoretical works in Western languages are by now available in Chinese translations, hardly any English-language publications exist that explain Chinese approaches to archaeological method and theory. This article helps to bridge the gap by introducing the history of debates on archaeological method in China to a Western audience, focusing particularly on issues of typology and classification. Discussing in detail the merits—and issues—of approaches suggested by four of the most influential Chinese archaeologists (Li Chi, Xia Nai, Su Bingqi, and K. C. Chang), this article provides a deeper understanding of the preconditions of archaeological research in China. It also suggests future directions for archaeological work by local and foreign archaeologists, including but also going beyond the classification of the rich body of artifacts coming to light in Chinese excavations.

RELATIONSHIP IN IOT AND BIG DATA ANALYTICS: THE OPPORTUNITIES AND OPEN CHALLENGES

2021 ◽  
Vol 83 (4) ◽  
pp. 100-111
Author(s):  
Ahmad Anwar Zainuddin ◽  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Physical World ◽  
Future Directions ◽  
Wide Range ◽  
Time Utilization ◽  
Relationship Of ◽  
The Internet Of Things

Internet of Things (IoT) is an up-and-coming technology that has a wide variety of applications. It empowers physical objects to be organized in a specialized framework to grow its convenience in terms of ease and time utilization. It is to convert the thought of bridging the crevice between the physical world and the machine world. It is also being use in the wide range of the technology in this current situation. One of its applications is to monitor and store data over time from numerous devices allows for easy analysis of the dataset. This analysis can then be the basis of decisions made on the same. In this study, the concept, architecture, and relationship of IoT and Big Data are described. Next, several use cases in IoT and big data in the research methodology are studied. The opportunities and open challenges which including the future directions are described. Furthermore, by proposing a new architecture for big data analytics in the Internet of Things, this paper adds value. Overall, the various types of big IoT data analytics, their methods, and associated big data mining technologies are discussed.

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