Block Chain: An Innovative Research Area

2018 ◽  
Author(s):  
Supriya Manglekar ◽  
H.A. Dinesha
Keyword(s):  
Research Area ◽  
Innovative Research ◽  
Block Chain

scholarly journals Peluang Implementasi Teknologi Big Data Dan Block Chain Untuk Peningkatan Kinerja Perdagangan Pada Sektor UMKM di Indonesia Pada Era Industri 4.0

2020 ◽  
Vol 3 (1) ◽  
pp. 71-80
Author(s):  
M Zaky Hadi
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Industry 4.0 ◽  
System Development ◽  
Research Area ◽  
Business Environment ◽  
Future Research ◽  
Literature Analysis ◽  
Main Challenge ◽  
Block Chain

Industry 4.0 is the main challenge in business environment resulted from disruption technology. It has been affected many sectors in development country including SME in Indonesia. This paper provides a literature review on big data and block chain implementation opportunity to increase trading performance for indonesian SME sector in industry 4.0 era. A systematic literature review (SLR) was implemented to review the literature analysis, provide gap and recommendation to future research and managerial implementation on Indonesian SME. We found a system development on Big Data and how Indonesian government implements the system is the main challenge in this research area.

Research visualization of Indian LIS research using VOSviewer and Bibliometrix

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nidhi Gupta ◽  
Rupak Chakravarty
Keyword(s):  
Design Methodology ◽  
Information Science ◽  
Web Of Science ◽  
Research Area ◽  
Library And Information Science ◽  
Web Interface ◽  
Content Type ◽  
Block Chain ◽  
Learning Machine ◽  
Prolific Authors

Purpose This study aimed to visualize the trend topics in the research area of library and information science (LIS) in India during 1989–2021. Design/methodology/approach The data was extracted from the Web of Science core collection database (WoSCC) database from 1989 to 2021. For creating the network visualization maps from the data, freely available softwares, VOSviewer (VV) and Biblioshiny (a Web-interface for bibliometrix), were used. Findings Results support the prediction that in the future, Indian LIS research will focus on areas such as deep learning, machine learning, artificial intelligence and block chain technology. Among the most prolific authors Satija, M.P (Guru Nanak Dev University, Amritsar) and Prathap, G (APJ Abdul Kalam Technology University) secured top positions in LIS research. Scientometric ranked the top journal or the core journal after applying Bradford law. Originality/value The visualization of trend topics in LIS research from 1989 to 2021, 32 years of time span, is the first of its kind.

scholarly journals Practise Mining to Predict Type of Client Performence

2019 ◽  
Vol 8 (9S3) ◽  
pp. 964-968
Keyword(s):  
Data Mining ◽  
Information System ◽  
Business Process ◽  
Web Mining ◽  
Process Mining ◽  
Research Area ◽  
Customer Behavior ◽  
Innovative Research ◽  
Related Information ◽  
Event Log

The aim of process mining implement is firstly to discover the typical customer fulfillment business process-process mining act as a bridge between data mining and web mining. Process mining in an active innovative research area in recent year. The goal is to be extract process –related information from the event log by observing events recorded by some of the information system using the click stream method. Finally we are classifying the different categories of customer behavior using weka tool after we applied the knowledge miner. The result provides to find the different type of customer and their behavior and its helps the company to improve the product and satisfied customer needs.

Tinkering with cognitive gadgets: Cultural evolutionary psychology meets active inference

2019 ◽  
Vol 42 ◽  
Author(s):  
Paul Benjamin Badcock ◽  
Axel Constant ◽  
Maxwell James Désormeau Ramstead
Keyword(s):  
Evolutionary Psychology ◽  
Research Program ◽  
Active Inference ◽  
Innovative Research ◽  
Cognitive Faculties ◽  
Cultural Evolutionary ◽  
The Relationship

Abstract Cognitive Gadgets offers a new, convincing perspective on the origins of our distinctive cognitive faculties, coupled with a clear, innovative research program. Although we broadly endorse Heyes’ ideas, we raise some concerns about her characterisation of evolutionary psychology and the relationship between biology and culture, before discussing the potential fruits of examining cognitive gadgets through the lens of active inference.

Piezoelectric β-polymorph formation of new textiles by surface modification with coating process based on interfacial interaction on the conformational variation of poly (vinylidene fluoride) (PVDF) chains

2020 ◽  
Vol 91 (3) ◽  
pp. 31301
Author(s):  
Nabil Chakhchaoui ◽  
Rida Farhan ◽  
Meriem Boutaldat ◽  
Marwane Rouway ◽  
Adil Eddiai ◽  
...  
Keyword(s):  
High Efficiency ◽  
Vinylidene Fluoride ◽  
Research Work ◽  
Research Area ◽  
Interfacial Interaction ◽  
Tetraethyl Orthosilicate ◽  
Poly Vinylidene Fluoride ◽  
Carbon Nanofillers ◽  
The Impact ◽  
Advanced Applications

Novel textiles have received a lot of attention from researchers in the last decade due to some of their unique features. The introduction of intelligent materials into textile structures offers an opportunity to develop multifunctional textiles, such as sensing, reacting, conducting electricity and performing energy conversion operations. In this research work nanocomposite-based highly piezoelectric and electroactive β-phase new textile has been developed using the pad-dry-cure method. The deposition of poly (vinylidene fluoride) (PVDF) − carbon nanofillers (CNF) − tetraethyl orthosilicate (TEOS), Si(OCH2CH3)4 was acquired on a treated textile substrate using coating technique followed by evaporation to transform the passive (non-functional) textile into a dynamic textile with an enhanced piezoelectric β-phase. The aim of the study is the investigation of the impact the coating of textile via piezoelectric nanocomposites based PVDF-CNF (by optimizing piezoelectric crystalline phase). The chemical composition of CT/PVDF-CNC-TEOS textile was detected by qualitative elemental analysis (SEM/EDX). The added of 0.5% of CNF during the process provides material textiles with a piezoelectric β-phase of up to 50% has been measured by FTIR experiments. These results indicated that CNF has high efficiency in transforming the phase α introduced in the unloaded PVDF, to the β-phase in the case of nanocomposites. Consequently, this fabricated new textile exhibits glorious piezoelectric β-phase even with relatively low coating content of PVDF-CNF-TEOS. The study demonstrates that the pad-dry-cure method can potentially be used for the development of piezoelectric nanocomposite-coated wearable new textiles for sensors and energy harvesting applications. We believe that our study may inspire the research area for future advanced applications.

Modified fuzzy-based greedy routing protocol for VANETs

2020 ◽  
Vol 39 (6) ◽  
pp. 8357-8364
Author(s):  
Thompson Stephan ◽  
Ananthnarayan Rajappa ◽  
K.S. Sendhil Kumar ◽  
Shivang Gupta ◽  
Achyut Shankar ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Routing Protocol ◽  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Research Area ◽  
Transportation Systems ◽  
Delivery Ratio ◽  
Greedy Routing ◽  
Hoc Networks

Vehicular Ad Hoc Networks (VANETs) is the most growing research area in wireless communication and has been gaining significant attention over recent years due to its role in designing intelligent transportation systems. Wireless multi-hop forwarding in VANETs is challenging since the data has to be relayed as soon as possible through the intermediate vehicles from the source to destination. This paper proposes a modified fuzzy-based greedy routing protocol (MFGR) which is an enhanced version of fuzzy logic-based greedy routing protocol (FLGR). Our proposed protocol applies fuzzy logic for the selection of the next greedy forwarder to forward the data reliably towards the destination. Five parameters, namely distance, direction, speed, position, and trust have been used to evaluate the node’s stability using fuzzy logic. The simulation results demonstrate that the proposed MFGR scheme can achieve the best performance in terms of the highest packet delivery ratio (PDR) and minimizes the average number of hops among all protocols.

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