Example of IEEE Transactions on Automation Science and Engineering format

Sample paper formatted on SciSpace - SciSpace

This content is only for preview purposes. The original open access content can be found here.

Open Access

Recommended

IEEE Transactions on Automation Science and Engineering — Template for authors

Publisher: IEEE

Your data will always be in your control. Learn more

Get started with a free account

— or sign up using email —

See how it works

Guideline source

Categories	Rank	Trend in last 3 yrs
Control and Systems Engineering	#20 of 260	down by 4 ranks
Electrical and Electronic Engineering	#53 of 693	down by 7 ranks

Journal quality:

High

Last 4 years overview: 634 Published Papers | 6713 Citations

Indexed in: Scopus

Last updated: 03/07/2020

Related journals

Insights

General info

Related Journals

Open Access

EPJ Quantum Technology

Springer

Quality:

High

CiteRatio: 6.6

SJR: 1.392

SNIP: 1.036

Open Access

IEEE Wireless Communications Letters

IEEE

Quality:

High

CiteRatio: 8.2

SJR: 1.23

SNIP: 1.584

Open Access

Recommended

IEEE Transactions on Industry Applications

IEEE

Quality:

High

CiteRatio: 8.9

SJR: 1.19

SNIP: 1.833

Open Access

Journal of Sensors

Hindawi

Quality:

High

CiteRatio: 4.1

SJR: 0.399

SNIP: 1.108

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

4.938

5% from 2018

Impact factor for IEEE Transactions on Automation Science and Engineering from 2016 - 2019
Year	Value
2019	4.938
2018	5.224
2017	3.667
2016	3.502

Graph view

10.6

2% from 2019

CiteRatio for IEEE Transactions on Automation Science and Engineering from 2016 - 2020
Year	Value
2020	10.6
2019	10.4
2018	9.3
2017	7.9
2016	7.8

Graph view

Insights

Impact factor of this journal has decreased by 5% in last year.
This journal’s impact factor is in the top 10 percentile category.

Insights

CiteRatio of this journal has increased by 2% in last years.
This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.314

13% from 2019

SJR for IEEE Transactions on Automation Science and Engineering from 2016 - 2020
Year	Value
2020	1.314
2019	1.503
2018	1.467
2017	1.306
2016	1.252

Graph view

2.309

8% from 2019

SNIP for IEEE Transactions on Automation Science and Engineering from 2016 - 2020
Year	Value
2020	2.309
2019	2.508
2018	2.564
2017	2.44
2016	2.156

Graph view

Insights

SJR of this journal has decreased by 13% in last years.
This journal’s SJR is in the top 10 percentile category.

Insights

SNIP of this journal has decreased by 8% in last years.
This journal’s SNIP is in the top 10 percentile category.

IEEE Transactions on Automation Science and Engineering

Guideline source: View

All company, product and service names used in this website are for identification purposes only. All product names, trademarks and registered trademarks are property of their respective owners.

Use of these names, trademarks and brands does not imply endorsement or affiliation. Disclaimer Notice

IEEE

IEEE Transactions on Automation Science and Engineering

Automation plays an increasingly important role in the global economy and in our daily lives. Automation is changing manufacturing as well as healthcare, security, and energy. The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes new abstractions, algorithms, theory, methodologies, models, systems, and case studies that can be applied across industries to significantly advance efficiency, quality, productivity, and reliability for society. IEEE Transactions on Automation Science and Engineering (T-ASE) is published quarterly since July 2004. T-ASE and its sibling publication, the IEEE Transactions on Robotics (T-RO) are published by the Institute of Electrical and Electronics Engineers and edited by the IEEE Robotics and Automation Society. (see my note below on the following text:) Automation plays an increasingly important role in the global economy and in our daily lives. Engineers strive to combine automated devices with mathematical and organizational tools to create complex systems for a rapidly expanding range of applications and human activities. To meet these challenges, the IEEE Robotics and Automation Society has established a major archival journal on Automation Science and Engineering to publish the abstractions, algorithms, theory, methodologies, models, systems, and case studies that can be applied across industries to significantly advance efficiency, quality, productivity, and reliability for society. The quarterly IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING publishes foundational research on Automation: Scientific methods and technologies that improve efficiency, productivity, quality, and reliability, specifically for methods, machines, and systems operating in structured environments over long periods, and the explicit structuring of environments. Its coverage will go beyond Automation;s roots in mass production and include many new applications areas, such as Biotechnology, pharmaceutical, and health care; Home, service, and retail; Construction, transportation, and security; Manufacturing, maintenance, and supply chains; and Food handling and processing. Research includes topics related to robots and intelligent machines/systems in structured environments and the explicit structuring of environments, and topics at the Operational/Enterprise levels such as System Modeling, Analysis, Performance Evaluation; Planning, Scheduling, Coordination; Risk Management; and Supply Chain Management. T-ASE integrates knowledge across disciplines and industries and, for this purpose, each paper shall include a 100-300 word Note to Practitioners that summarizes without jargon how its results can be applied or how they might be extended to apply in practice to practical problems, thus making the paper more broadly accessible. Writing a good NtP is a challenge. Rather than simply restating the abstract and introduction to the paper in less technical terms, authors are asked to describe the potential and limitations of the work as though they were addressing a colleague from industry. A sample NtP can be found here. Read Less

Engineering

Last updated on	03 Jul 2020
ISSN	1545-5955
Impact Factor	High - 2.628
Open Access	No
Sherpa RoMEO Archiving Policy	Green
Plagiarism Check	Available via Turnitin
Endnote Style	Download Available
Bibliography Name	IEEEtran
Citation Type	Numbered [25]
Bibliography Example	C. W. J. Beenakker, “Specular andreev reflection in graphene,” Phys. Rev. Lett., vol. 97, no. 6, p.

Top papers written in this journal

Journal Article • DOI: 10.1109/TASE.2012.2203304 •

Carbon Footprint and the Management of Supply Chains: Insights From Simple Models

Saif Benjaafar¹, Yanzhi Li², •

01 Jan 2013 - IEEE Transactions on Automation Science and Engineering

Abstract:

Using relatively simple and widely used models, we illustrate how carbon emission concerns could be integrated into operational decision-making with regard to procurement, production, and inventory management. We show how, by associating carbon emission parameters with various decision variables, traditional models can be mod... Using relatively simple and widely used models, we illustrate how carbon emission concerns could be integrated into operational decision-making with regard to procurement, production, and inventory management. We show how, by associating carbon emission parameters with various decision variables, traditional models can be modified to support decision-making that accounts for both cost and carbon footprint. We examine how the values of these parameters as well as the parameters of regulatory emission control policies affect cost and emissions. We use the models to study the extent to which carbon reduction requirements can be addressed by operational adjustments, as an alternative (or a supplement) to costly investments in carbon-reducing technologies. We also use the models to investigate the impact of collaboration among firms within the same supply chain on their costs and carbon emissions and study the incentives firms might have in seeking such cooperation. We provide a series of insights that highlight the impact of operational decisions on carbon emissions and the importance of operational models in evaluating the impact of different regulatory policies and in assessing the benefits of investments in more carbon efficient technologies. Note to Practitioners-Firms worldwide, responding to the threat of government legislation or to concerns raised by their own consumers or shareholders, are undertaking initiatives to reduce their carbon footprint. It is the conventional thinking that such initiatives will require either capital investments or a switch to more expensive sources of energy or input material. In this paper, we show that firms could effectively reduce their carbon emissions without significantly increasing their costs by making only operational adjustments and by collaborating with other members of their supply chain. We describe optimization models that can be used by firms to support operational decision making and supply chain collaboration, while taking into account carbon emissions. We analyze the effect of different emission regulations, including strict emission caps, taxes on emissions, cap-and-offset, and cap-and-trade, on supply chain management decisions. In particular, we show that the presence of emission regulation can significantly increase the value of supply chain collaboration. read more

Topics:

Carbon footprint (67%)67% related to the paper, Supply chain (58%)58% related to the paper, Supply chain management (57%)57% related to the paper,

View PDF

1,007 Citations

Open access • Journal Article • DOI: 10.1109/TASE.2014.2376492 •

A Survey of Research on Cloud Robotics and Automation

Ben Kehoe¹, Sachin Patil¹, •

12 Jan 2015 - IEEE Transactions on Automation Science and Engineering

Abstract:

The Cloud infrastructure and its extensive set of Internet-accessible resources has potential to provide significant benefits to robots and automation systems. We consider robots and automation systems that rely on data or code from a network to support their operation, i.e., where not all sensing, computation, and memory is ... The Cloud infrastructure and its extensive set of Internet-accessible resources has potential to provide significant benefits to robots and automation systems. We consider robots and automation systems that rely on data or code from a network to support their operation, i.e., where not all sensing, computation, and memory is integrated into a standalone system. This survey is organized around four potential benefits of the Cloud: 1) Big Data: access to libraries of images, maps, trajectories, and descriptive data; 2) Cloud Computing: access to parallel grid computing on demand for statistical analysis, learning, and motion planning; 3) Collective Robot Learning: robots sharing trajectories, control policies, and outcomes; and 4) Human Computation: use of crowdsourcing to tap human skills for analyzing images and video, classification, learning, and error recovery. The Cloud can also improve robots and automation systems by providing access to: a) datasets, publications, models, benchmarks, and simulation tools; b) open competitions for designs and systems; and c) open-source software. This survey includes over 150 references on results and open challenges. A website with new developments and updates is available at: http://goldberg.berkeley.edu/cloud-robotics/ read more

Topics:

Cloud robotics (71%)71% related to the paper, Cloud computing (61%)61% related to the paper, Cloud testing (60%)60% related to the paper,

View PDF

761 Citations

Open access • Journal Article • DOI: 10.1109/TASE.2006.877401 •

Semidefinite Programming Approaches for Sensor Network Localization With Noisy Distance Measurements

Pratik Biswas¹, Tzu-Chen Liang¹, •

09 Oct 2006 - IEEE Transactions on Automation Science and Engineering

Abstract:

A sensor network localization problem is to determine the positions of the sensor nodes in a network given incomplete and inaccurate pairwise distance measurements. Such distance data may be acquired by a sensor node by communicating with its neighbors. We describe a general semidefinite programming (SDP)-based approach for s... A sensor network localization problem is to determine the positions of the sensor nodes in a network given incomplete and inaccurate pairwise distance measurements. Such distance data may be acquired by a sensor node by communicating with its neighbors. We describe a general semidefinite programming (SDP)-based approach for solving the graph realization problem, of which the sensor network localization problems is a special case. We investigate the performance of this method on problems with noisy distance data. Error bounds are derived from the SDP formulation. The sources of estimation error in the SDP formulation are identified. The SDP solution usually has a rank higher than the underlying physical space which, when projected onto the lower dimensional space, generally results in high estimation error. We describe two improvements to ameliorate such a difficulty. First, we propose a regularization term in the objective function that can help to reduce the rank of the SDP solution. Second, we use the points estimated from the SDP solution as the initial iterate for a gradient-descent method to further refine the estimated points. A lower bound obtained from the optimal SDP objective value can be used to check the solution quality. Experimental results are presented to validate our methods and show that they outperform existing SDP methods. Note to Practitioners-Wireless sensor networks consist of a large number of inexpensive wireless sensors deployed in a geographical area with the ability to communicate with their neighbors within a limited radio range. Wireless sensor networks are finding increasing applicability to a range of monitoring applications in civil and military scenarios, such as biodiversity and geographical monitoring, smart homes, industrial control, surveillance, and traffic monitoring. It is often very useful in the applications of sensor networks to know the locations of the sensors. Global positioning systems suffer from many drawbacks in this scenario, such as high cost, line-of-sight issues, etc. Therefore, there is a need to develop robust and efficient algorithms that can estimate or "localize" sensor positions in a network by using only the mutual distance measures (received signal strength, time of arrival) that the wireless sensors receive from their neighbors. This paper describes an algorithm that solves the sensor network localization problem using advanced optimization techniques. We also study the effect of using very noisy measurements and propose robust methods to deal with high noise. Finally, simulation results for the algorithms are presented to demonstrate their performance in terms of computational effort and accuracy read more

Topics:

Wireless sensor network (62%)62% related to the paper, Sensor node (59%)59% related to the paper, Semidefinite programming (52%)52% related to the paper,

View PDF

474 Citations

Journal Article • DOI: 10.1109/TASE.2014.2352364 •

Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey

Guoying Gu¹, Li-Min Zhu¹, •

01 Jan 2016 - IEEE Transactions on Automation Science and Engineering

Abstract:

Piezo-actuated stages have become more and more promising in nanopositioning applications due to the excellent advantages of the fast response time, large mechanical force, and extremely fine resolution. Modeling and control are critical to achieve objectives for high-precision motion. However, piezo-actuated stages themselve... Piezo-actuated stages have become more and more promising in nanopositioning applications due to the excellent advantages of the fast response time, large mechanical force, and extremely fine resolution. Modeling and control are critical to achieve objectives for high-precision motion. However, piezo-actuated stages themselves suffer from the inherent drawbacks produced by the inherent creep and hysteresis nonlinearities and vibration caused by the lightly damped resonant dynamics, which make modeling and control of such systems challenging. To address these challenges, various techniques have been reported in the literature. This paper surveys and discusses the progresses of different modeling and control approaches for piezo-actuated nanopositioning stages and highlights new opportunities for the extended studies. read more

458 Citations

Open access • Journal Article • DOI: 10.1109/TASE.2016.2600527 •

Analysis and Observations From the First Amazon Picking Challenge

Nikolaus Correll¹, Kostas E. Bekris², •

01 Jan 2018 - IEEE Transactions on Automation Science and Engineering

Abstract:

This paper presents an overview of the inaugural Amazon Picking Challenge along with a summary of a survey conducted among the 26 participating teams. The challenge goal was to design an autonomous robot to pick items from a warehouse shelf. This task is currently performed by human workers, and there is hope that robots can ... This paper presents an overview of the inaugural Amazon Picking Challenge along with a summary of a survey conducted among the 26 participating teams. The challenge goal was to design an autonomous robot to pick items from a warehouse shelf. This task is currently performed by human workers, and there is hope that robots can someday help increase efficiency and throughput while lowering cost. We report on a 28-question survey posed to the teams to learn about each team’s background, mechanism design, perception apparatus, planning, and control approach. We identify trends in this data, correlate it with each team’s success in the competition, and discuss observations and lessons learned based on survey results and the authors’ personal experiences during the challenge. Note to Practitioners —Perception, motion planning, grasping, and robotic system engineering have reached a level of maturity that makes it possible to explore automating simple warehouse tasks in semistructured environments that involve high-mix, low-volume picking applications. This survey summarizes lessons learned from the first Amazon Picking Challenge, highlighting mechanism design, perception, and motion planning algorithms, as well as software engineering practices that were most successful in solving a simplified order fulfillment task. While the choice of mechanism mostly affects execution speed, the competition demonstrated the systems challenges of robotics and illustrated the importance of combining reactive control with deliberative planning. read more

Topics:

Personal robot (52%)52% related to the paper, Autonomous robot (51%)51% related to the paper

407 Citations

Also popular among researchers

“

SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

- Andreas Frutiger, Researcher, ETH Zurich, Institute for Biomedical Engineering

Get MS-Word and LaTeX output to any Journal within seconds

Choose a template

Select a template from a library of 40,000+ templates

Import a MS-Word file or start fresh

It takes only few seconds to import

View and edit your final output

SciSpace will automatically format your output to meet journal guidelines

Submit directly or Download

Submit to journal directly or Download in PDF, MS Word or LaTeX

(Before submission check for plagiarism via Turnitin)

Less than 3 minutes

What to expect from SciSpace?

Speed and accuracy over MS Word

With SciSpace, you do not need a word template for IEEE Transactions on Automation Science and Engineering.

It automatically formats your research paper to IEEE formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

Freedom from formatting guidelines

One editor, 100K journal formats – world's largest collection of journal templates

With such a huge verified library, what you need is already there.

Easy support from all your favorite tools

IEEE Transactions on Automation Science and Engineering format uses IEEEtran citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write IEEE Transactions on Automation Science and Engineering in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the IEEE Transactions on Automation Science and Engineering guidelines and auto format it.

2. Do you follow the IEEE Transactions on Automation Science and Engineering guidelines?

Yes, the template is compliant with the IEEE Transactions on Automation Science and Engineering guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in IEEE Transactions on Automation Science and Engineering?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the IEEE Transactions on Automation Science and Engineering citation style.

4. Can I use the IEEE Transactions on Automation Science and Engineering templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for IEEE Transactions on Automation Science and Engineering.

5. Can I use a manuscript in IEEE Transactions on Automation Science and Engineering that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper IEEE Transactions on Automation Science and Engineering that you can download at the end.

6. How long does it usually take you to format my papers in IEEE Transactions on Automation Science and Engineering?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in IEEE Transactions on Automation Science and Engineering.

7. Where can I find the template for the IEEE Transactions on Automation Science and Engineering?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Automation Science and Engineering's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the IEEE Transactions on Automation Science and Engineering's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. IEEE Transactions on Automation Science and Engineering an online tool or is there a desktop version?

SciSpace's IEEE Transactions on Automation Science and Engineering is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like IEEE Transactions on Automation Science and Engineering?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like IEEE Transactions on Automation Science and Engineering?”

11. What is the output that I would get after using IEEE Transactions on Automation Science and Engineering?

After writing your paper autoformatting in IEEE Transactions on Automation Science and Engineering, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is IEEE Transactions on Automation Science and Engineering's impact factor high enough that I should try publishing my article there?

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 these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for IEEE Transactions on Automation Science and Engineering?

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for IEEE Transactions on Automation Science and Engineering. The table below indicates the level of access a journal has as per Sherpa Romeo's 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:

Pre-prints as being the version of the paper before peer review and
Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In IEEE Transactions on Automation Science and Engineering?

The 5 most common citation types in order of usage for IEEE Transactions on Automation Science and Engineering are:.

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

15. How do I submit my article to the IEEE Transactions on Automation Science and Engineering?

16. Can I download IEEE Transactions on Automation Science and Engineering in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in IEEE Transactions on Automation Science and Engineering Endnote style according to Elsevier guidelines.

Fast and reliable,
built for complaince.

Instant formatting to 100% publisher guidelines on - SciSpace.

Available only on desktops 🖥

No word template required

Typset automatically formats your research paper to IEEE Transactions on Automation Science and Engineering formatting guidelines and citation style.

Verifed journal formats

One editor, 100K journal formats.
With the largest collection of verified journal formats, what you need is already there.

Trusted by academicians

“

I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

”

Andreas Frutiger
Researcher & Ex MS Word user

IEEE Transactions on Automation Science and Engineering — Template for authors

Related Journals

Journal Performance & Insights

Impact Factor

CiteRatio

4.938

10.6

Insights

Insights

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

1.314

2.309

Insights

Insights

IEEE Transactions on Automation Science and Engineering

IEEE Transactions on Automation Science and Engineering

Top papers written in this journal

Abstract:

Topics:

Abstract:

Topics:

Abstract:

Topics:

Abstract:

Abstract:

Topics:

What to expect from SciSpace?

Speed and accuracy over MS Word

Plagiarism Reports via Turnitin

Freedom from formatting guidelines

Easy support from all your favorite tools

Frequently asked questions

Fast and reliable, built for complaince.

No word template required

Verifed journal formats

Trusted by academicians

Fast and reliable,
built for complaince.