Example of International Journal of Advanced Mechatronic Systems format
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Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format
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Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format Example of International Journal of Advanced Mechatronic Systems format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access ISSN: 17568412 e-ISSN: 17568420

International Journal of Advanced Mechatronic Systems — Template for authors

Categories Rank Trend in last 3 yrs
Mechanical Engineering #495 of 596 down down by 33 ranks
Control and Systems Engineering #224 of 260 down down by 25 ranks
journal-quality-icon Journal quality:
Low
calendar-icon Last 4 years overview: 45 Published Papers | 29 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 01/07/2020
Insights & related journals
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Top papers
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Journal Performance & Insights

  • CiteRatio
  • SJR
  • SNIP

CiteRatio is a measure of average citations received per peer-reviewed paper published in the journal.

0.6

CiteRatio for International Journal of Advanced Mechatronic Systems from 2016 - 2020
Year Value
2020 0.6
2018 0.8
2017 0.4
2016 0.7
graph view Graph view
table view Table view

insights Insights

  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR) measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

0.165

18% from 2018

SJR for International Journal of Advanced Mechatronic Systems from 2016 - 2020
Year Value
2020 0.165
2018 0.14
2017 0.132
2016 0.134
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 18% in last years.
  • This journal’s SJR is in the top 10 percentile category.

Source Normalized Impact per Paper (SNIP) measures actual citations received relative to citations expected for the journal's category.

0.604

45% from 2018

SNIP for International Journal of Advanced Mechatronic Systems from 2016 - 2020
Year Value
2020 0.604
2018 0.417
2017 0.423
2016 0.539
graph view Graph view
table view Table view

insights Insights

  • SNIP of this journal has increased by 45% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

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International Journal of Advanced Mechatronic Systems

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Inderscience Publishers

International Journal of Advanced Mechatronic Systems

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Advanced Mechatronic Systems formatting guidelines as mentioned in Inderscience Publishers author instructions. The current version was created on 01 Jul 2020 and has been used by 522 authors to write and format their manuscripts to this journal.

i
Last updated on
01 Jul 2020
i
ISSN
1756-8412
i
Impact Factor
Low - 0.087
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
plainnat
i
Citation Type
Author Year
(Blonder et al., 1982)
i
Bibliography Example
Beenakker, C. W. J. (2006). ‘Specular Andreev Reflection in Graphene’. Phys. Rev. Lett., Vol 97, No 6, pp. 067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1504/IJAMECHS.2008.020839
A ZigBee-based mobile tracking system through wireless sensor networks
Tareq Alhmiedat1, Shuang-Hua Yang1

Abstract:

Wireless sensor networks have been deployed widely. Sensor networks involve sensor nodes which are very small in size, low in cost and have a short battery-life. One of the critical wireless sensor network applications is localisation and tracking mobile sensor nodes. ZigBee is a new emerging technology for low rate, low powe... Wireless sensor networks have been deployed widely. Sensor networks involve sensor nodes which are very small in size, low in cost and have a short battery-life. One of the critical wireless sensor network applications is localisation and tracking mobile sensor nodes. ZigBee is a new emerging technology for low rate, low power and low range communication networks, which aims to provide long battery life for network devices. In this paper, we discuss various localisation and tracking techniques and categorise these techniques based on the communication between nodes in centralised and decentralised localisation systems. We propose a decentralised ZigBee-based tracking system to detect and track the location of mobile nodes indoors based on the received signal strength (RSS). The proposed tracking system is a range-free system, which does not require additional hardware, depends on a new weight function, and can be deployed wherever the node density is low. The tracking system is implemented by ZigBee sensor devices, and experiments are done to evaluate the proposed tracking system based on accuracy and communication cost. read more read less

Topics:

Key distribution in wireless sensor networks (71%)71% related to the paper, Mobile wireless sensor network (68%)68% related to the paper, Wireless sensor network (63%)63% related to the paper, NeuRFon (63%)63% related to the paper, Visual sensor network (62%)62% related to the paper
61 Citations
Journal Article DOI: 10.1504/IJAMECHS.2011.042615
Selection of optimal parameter set using estimability analysis and MSE-based model-selection criterion
Shaohua Wu1, Kevin A. P. McLean2, Thomas J. Harris2, Kimberley B. McAuley2

Abstract:

Parameter estimation in complex mathematical models is difficult, especially when there are too many unknown parameters to estimate, and the available data for parameter estimation are limited. Estimability analysis ranks parameters from most estimable to least estimable based on the model structure, uncertainties in initial ... Parameter estimation in complex mathematical models is difficult, especially when there are too many unknown parameters to estimate, and the available data for parameter estimation are limited. Estimability analysis ranks parameters from most estimable to least estimable based on the model structure, uncertainties in initial parameter guesses, measurement uncertainties, and experimental settings. Difficulties associated with poor numerical conditioning are avoided by only estimating those parameters that are most estimable. The remaining parameters are left at their initial values or can be removed from the model via simplification. In this paper, a mean squared error (MSE)-based model-selection criterion is used to determine the optimal number of parameters to estimate from the ranked parameter list, so that the most reliable model predictions can be obtained. This methodology is illustrated using a dynamic chemical reactor model. read more read less

Topics:

Model selection (56%)56% related to the paper, Free parameter (56%)56% related to the paper, Estimation theory (53%)53% related to the paper, Mean squared error (52%)52% related to the paper
45 Citations
Journal Article DOI: 10.1504/IJAMECHS.2008.020840
Operator-based non-linear vibration control system design of a flexible arm with piezoelectric actuator
Mingcong Deng1, Akira Inoue1, Yusuke Baba1

Abstract:

Most real plants must deal with some non-linear characteristics. For the non-linear plants, design of non-linear control system using operator-based robust right coprime factorisation is considered. The considered non-linear control system applications show the desired results. In this paper, operator-based non-linear vibrati... Most real plants must deal with some non-linear characteristics. For the non-linear plants, design of non-linear control system using operator-based robust right coprime factorisation is considered. The considered non-linear control system applications show the desired results. In this paper, operator-based non-linear vibration control of a flexible arm experimental system with uncertainties using robust right coprime factorisation is considered. In general, the vibrations by the characteristic vibration mode include from one to infinite order vibration modes and appear on the arm vibration. It is difficult to consider all vibration modes. Consequently, based on the concept of Lipschitz operators and robust right coprime factorisation condition, robust stability of the closed-loop system with unconsidered vibration modes as uncertainties is guaranteed, and desired vibration control performance actuated by piezoelectric element is ensured. Finally, simulation and experimental results are presented to support the effectiveness of the proposed design. read more read less

Topics:

Vibration control (58%)58% related to the paper, Nonlinear control (52%)52% related to the paper, Vibration (52%)52% related to the paper, Control system (51%)51% related to the paper
40 Citations
open accessOpen access Journal Article DOI: 10.1504/IJAMECHS.2010.030850
Review of modelling and remote control for excavators
Hongnian Yu1, Yang Liu1, Mohammad S. Hasan1

Abstract:

An excavator is a typical hydraulic heavy-duty human-operated machine used in general versatile construction operations, such as digging, ground levelling, carrying loads, dumping loads and straight traction. However, there are many tasks, such as hazard environment (nuclear decomposition, earthquake, etc.) which is not suita... An excavator is a typical hydraulic heavy-duty human-operated machine used in general versatile construction operations, such as digging, ground levelling, carrying loads, dumping loads and straight traction. However, there are many tasks, such as hazard environment (nuclear decomposition, earthquake, etc.) which is not suitable for human to work on site. The remotely controllable excavators are required to work in such environment. In this paper, we report the current progress of the ongoing project. We investigate modelling and remote control issues of industry excavators. After reviewing the literature on the related work, architecture for remotely controllable excavators is proposed. The architecture covers actuators, modelling, sensors, image signal processing, communication networks, controllers, task and path planning, human computer interaction, optimal design, co-simulation and virtual training environment. The details of modelling, communication and control of a remotely controllable excavator are provided. read more read less

Topics:

Excavator (60%)60% related to the paper, Virtual training (51%)51% related to the paper
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34 Citations
open accessOpen access Journal Article
Revision on fuzzy artificial potential field for humanoid robot path planning in unknown environment
Mahdi Fakoor1, Amirreza Kosari1, Mohsen Jafarzadeh1

Abstract:

Path planning in a completely known environment has been experienced various ways. However, in real world, most humanoid robots work in unknown environments. Robots' path planning by artificial potential field and fuzzy artificial potential field methods are very popular in the field of robotics navigation. However, by defaul... Path planning in a completely known environment has been experienced various ways. However, in real world, most humanoid robots work in unknown environments. Robots' path planning by artificial potential field and fuzzy artificial potential field methods are very popular in the field of robotics navigation. However, by default humanoid robots lack range sensors; thus, traditional artificial potential field approaches needs to adopt themselves to these limitations. This paper investigates two different approaches for path planning of a humanoid robot in an unknown environment using fuzzy artificial potential (FAP) method. In the first approach, the direction of the moving robot is derived from fuzzified artificial potential field whereas in the second one, the direction of the robot is extracted from some linguistic rules that are inspired from artificial potential field. These two introduced trajectory design approaches are validated though some software and hardware in the loop simulations and the experimental results demonstrate the superiority of the proposed approaches in humanoid robot real-time trajectory planning problems. read more read less

Topics:

Humanoid robot (71%)71% related to the paper, Robot control (63%)63% related to the paper, Motion planning (57%)57% related to the paper, Robot (56%)56% related to the paper, Robotics (55%)55% related to the paper
22 Citations
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International Journal of Advanced Mechatronic Systems format uses plainnat citation style.

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Frequently asked questions

Absolutely not! With our tool, you can freely write without having to focus on LaTeX. You can write your entire paper as per the International Journal of Advanced Mechatronic Systems guidelines and autoformat it.

Yes. The template is fully compliant as per the guidelines of this journal. Our experts at SciSpace ensure that. Also, if there's any update in the journal format guidelines, we take care of it and include that in our algorithm.

Sure. We support all the top citation styles like APA style, MLA style, Vancouver style, Harvard style, Chicago style, etc. For example, in case of this journal, when you write your paper and hit autoformat, it will automatically update your article as per the International Journal of Advanced Mechatronic Systems citation style.

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One little Google search can get you the Word template for any journal. However, why do you need a Word template when you can write your entire manuscript on SciSpace, autoformat it as per International Journal of Advanced Mechatronic Systems's guidelines and download the same in Word, PDF and LaTeX formats? Try us out!.

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To be honest, the answer is NO. The impact factor is one of the many elements that determine the quality of a journal. Few of those factors the review board, rejection rates, frequency of inclusion in indexes, Eigenfactor, etc. You must assess all the factors and then take the final call.

SHERPA/RoMEO Database

We have extracted this data from Sherpa Romeo to help our researchers understand the access level of this journal. The following table indicates the level of access a journal has as per Sherpa Romeo Archiving Policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

The 5 most common citation types in order of usage are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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SciSpace would allow download of your references in International Journal of Advanced Mechatronic Systems Endnote style, according to inderscience-publishers guidelines.

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