Chun Xu¹, Jiang Xu^1,2,*

Journal of Information Hiding and Privacy Protection, Vol.3, No.2, pp. 91-99, 2021, DOI:10.32604/jihpp.2021.019883

Abstract With the advent of the era of big data, the Provenance Method of electronic archives based on knowledge graph under the environment of big data has produced a large number of electronic archives due to the development of science and technology. How to guarantee the credential characteristics of electronic archives in the big data environment has attracted wide attention of the academic community. Provenance is an important technical means to guarantee the certification of electronic archives. In this paper, knowledge graph technology is used to provide the concept provenance of electronic archives in large data environment. It not only enriches… More >

M. A. F. A. Wahab¹, S. M. Sapuan^1,2,*, M. M. Harussani¹, M. Y. M. Zuhri¹, A. A. Saleh³

Journal of Renewable Materials, Vol.9, No.11, pp. 1973-1989, 2021, DOI:10.32604/jrm.2021.016221

Abstract This paper presents the development process relating to the conceptual design of glass/renewable natural fibrereinforced polymer hybrid composite motorcycle side cover. Motorcycle side cover is a component frequently made from plastic or steel that functions on covering the motorcycle parts, components and systems such as frame, battery, electrical systems and mechanical systems. Function Analysis Systems Techniques (FAST) is used to identify the functions of motorcycle side cover. The right-side cover of motorcycle model SYM E-Bonus 110 has been physically studied to identify the competitive benchmarking criteria. The functions and competitive benchmarking criteria are then compiled and integrated with the environmental… More >

Romany F. Mansour^1,*, Shaha Al-Otaibi², Amal Al-Rasheed², Hanan Aljuaid³, Irina V. Pustokhina⁴, Denis A. Pustokhin⁵

CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 2843-2858, 2021, DOI:10.32604/cmc.2021.016626

Abstract Big data streams started becoming ubiquitous in recent years, thanks to rapid generation of massive volumes of data by different applications. It is challenging to apply existing data mining tools and techniques directly in these big data streams. At the same time, streaming data from several applications results in two major problems such as class imbalance and concept drift. The current research paper presents a new Multi-Objective Metaheuristic Optimization-based Big Data Analytics with Concept Drift Detection (MOMBD-CDD) method on High-Dimensional Streaming Data. The presented MOMBD-CDD model has different operational stages such as pre-processing, CDD, and classification. MOMBD-CDD model overcomes class… More >

Peng Wan¹, Ting Wen^2,*, Yunfei Zhang³, Hong Gao¹, Jigan Wang¹

International Journal of Mental Health Promotion, Vol.23, No.2, pp. 201-219, 2021, DOI:10.32604/IJMHP.2021.015759

Abstract Goal self-concordance reflects self-generated personal goals aligning with people’s interests and core values in one’s implicit personality as organic components, which is measured by the “perceived locus of causality” PLOC. Pursuing and achieving self-concordant goals both predict diversified outcomes in need-satisfaction, mental and physical well-being, positive attitude and behavior, etc. Based on expounding and sorting out the concept and measurement about goal self-concordance, the author analyzes the differences among a series of goal self-concordance theories. This paper focuses on the latest research trends and summarizes five influencing aspects of goal self-concordance: mental health, cognition, emotion, personal will, and behavioral outcomes.… More >

A. Lesur, F. Guillemin

Oncologie, Vol.21, No.1, pp. 3-4, 2019, DOI:10.3166/onco-2019-0032

Abstract This article has no abstract. More >

Ney Augusto Dumont

The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 2-2, 2021, DOI:10.32604/icces.2021.08187

Abstract The mathematical modeling of microdevices, in which structure and microstructure have approximately the same scale of magnitude, as well as of macrostructures of markedly granular or crystal nature (microcomposites), demands a nonlocal approach for strains and stresses. The present proposition is based on a simplified strain gradient theory laid down by Aifantis, which has also been applied mainly by Beskos and collaborators in the context of the boundary element method. This paper is an extension of a presentation made during the ICCES 2014 Conference in Crete, Greece, now relying on machine-precision evaluation of all singular and hypersingular integrals required in… More >

H. N. Salwa¹, S. M. Sapuan^1,2,*, M. T. Mastura³, M. Y. M. Zuhri²

Journal of Renewable Materials, Vol.9, No.4, pp. 803-827, 2021, DOI:10.32604/jrm.2021.013977

Abstract Biopolymer composite has gained huge attention for its beneficial properties such as biodegradable and less impact to the environment. This consequently would diminish the dependency on the petroleum-based polymer. Abundance of studies have been done on the development and characterization of biopolymer composite materials for food packaging application, but work on the conceptual design of biopolymer composite packaging product is hardly found. Using the Kano Model, Quality Function Deployment for Environment (QFDE), morphological map, and Analytic Hierarchy Method (AHP) framework combination, this paper presents the conceptual design of a natural fibre reinforced biopolymer composites take-out food container. To understand customer… More >

Sabin C. Buraga¹, Octavian Dospinescu^2,*

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2857-2873, 2021, DOI:10.32604/cmc.2021.014429

Abstract A knowledge-driven approach is proposed for assessing the music influence on university students. The proposed method of modeling and conducting the interactive pilot study can be useful to convey other surveys, interviews, and experiments created in various phases of the user interface (UI) design processes, as part of a general human-computer interaction (HCI) methodology. Benefiting from existing semantic Web and linked data standards, best practices, and tools, a microservice-oriented system is developed as a testbed platform able to generate playlists in a smart way according to users’ music preferences. This novel approach could bring also benefits for user interface adaptation… More >

Paweł Lula¹, Octavian Dospinescu^2,*, Daniel Homocianu², Napoleon-Alexandru Sireteanu²

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2425-2443, 2021, DOI:10.32604/cmc.2021.013771

Abstract Our primary research hypothesis stands on a simple idea: The evolution of top-rated publications on a particular theme depends heavily on the progress and maturity of related topics. And this even when there are no clear relations or some concepts appear to cease to exist and leave place for newer ones starting many years ago. We implemented our model based on Computer Science Ontology (CSO) and analyzed 44 years of publications. Then we derived the most important concepts related to Cloud Computing (CC) from the scientific collection offered by Clarivate Analytics. Our methodology includes data extraction using advanced web crawling… More >

L. Ezhilarasi^1,*, A.P. Shanthi², V. Uma Maheswari¹

Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 465-478, 2020, DOI:10.32604/iasc.2020.013923

Abstract Development of new Artificial Intelligence related data analy sis methodologies w ith rev olutionary information technology has made a radical change in prediction, forecasting, and decision making for real-w orld data. The challenge arises w hen the real w orld dataset consisting of v oluminous data is uncertain. The rough set is a mathematical formalism that has emerged significantly for uncertain datasets. It represents the know ledge of the datasets as decision rules. It does not need any metadata. The rules are used to predict or classify unseen ex amples. The objectiv e of this research is to dev elop… More >