Example of Design Automation for Embedded Systems format
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Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format
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Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format Example of Design Automation for Embedded Systems format
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open access Open Access ISSN: 9295585 e-ISSN: 15728080

Design Automation for Embedded Systems — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Hardware and Architecture #44 of 157 up up by 50 ranks
Software #113 of 389 up up by 128 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 51 Published Papers | 277 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 03/07/2020
Insights & related journals
General info
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FAQ

Journal Performance & Insights

  • Impact Factor
  • CiteRatio
  • SJR
  • SNIP

Impact factor 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.

2.767

398% from 2018

Impact factor for Design Automation for Embedded Systems from 2016 - 2019
Year Value
2019 2.767
2018 0.556
2017 0.516
2016 0.516
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 398% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

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

5.4

64% from 2019

CiteRatio for Design Automation for Embedded Systems from 2016 - 2020
Year Value
2020 5.4
2019 3.3
2018 2.0
2017 1.8
2016 1.3
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 64% in last years.
  • 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.

0.418

46% from 2019

SJR for Design Automation for Embedded Systems from 2016 - 2020
Year Value
2020 0.418
2019 0.286
2018 0.192
2017 0.172
2016 0.171
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 46% 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.

1.845

92% from 2019

SNIP for Design Automation for Embedded Systems from 2016 - 2020
Year Value
2020 1.845
2019 0.963
2018 0.429
2017 0.522
2016 0.74
graph view Graph view
table view Table view

insights Insights

  • SNIP of this journal has increased by 92% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

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Design Automation for Embedded Systems

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Springer

Design Automation for Embedded Systems

Embedded (electronic) systems have become the electronic engines of modern consumer and industrial devices, from automobiles to satellites, from washing machines to high-definition TVs, and from cellular phones to complete base stations. These embedded systems encompass a vari...... Read More

Software

Hardware and Architecture

Computer Science

i
Last updated on
03 Jul 2020
i
ISSN
0929-5585
i
Impact Factor
High - 1.306
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
SPBASIC
i
Citation Type
Author Year
(Blonder et al, 1982)
i
Bibliography Example
Beenakker CWJ (2006) Specular andreev reflection in graphene. Phys Rev Lett 97(6):067,007, URL 10.1103/PhysRevLett.97.067007

Top papers written in this journal

Journal Article DOI: 10.1023/A:1008857008151
System Level Hardware/Software Partitioning Based on Simulated Annealing and Tabu Search
Petru Eles1, Zebo Peng1, Krzysztof Kuchcinski1, Alexa Doboli

Abstract:

This paper presents two heuristics for automatic hardware/software partitioning of system level specifications. Partitioning is performed at the granularity of blocks, loops, subprograms, and processes with the objective of performance optimization with a limited hardware and software cost. We define the metric values for par... This paper presents two heuristics for automatic hardware/software partitioning of system level specifications. Partitioning is performed at the granularity of blocks, loops, subprograms, and processes with the objective of performance optimization with a limited hardware and software cost. We define the metric values for partitioning and develop a cost function that guides partitioning towards the desired objective. We consider minimization of communication cost and improvement of the overall parallelism as essential criteria during partitioning. Two heuristics for hardware/software partitioning, formulated as a graph partitioning problem, are presented: one based on simulated annealing and the other on tabu search. Results of extensive experiments, including real-life examples, show the clear superiority of the tabu search based algorithm. read more read less

Topics:

Tabu search (61%)61% related to the paper, Simulated annealing (55%)55% related to the paper, Graph partition (55%)55% related to the paper, Heuristics (52%)52% related to the paper, Software (52%)52% related to the paper
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285 Citations
Journal Article DOI: 10.1023/A:1008899229802
System-Level Synthesis Using Evolutionary Algorithms
Tobias Blickle1, Jürgen Teich1, Lothar Thiele1

Abstract:

In this paper, we consider system-level synthesis as the problem of optimally mapping a task-level specification onto a heterogeneous hardware/software architecture. This problem requires (1) the selection of the architecture (allocation) including general purpose and dedicated processors, ASICs, busses and memories, (2) the ... In this paper, we consider system-level synthesis as the problem of optimally mapping a task-level specification onto a heterogeneous hardware/software architecture. This problem requires (1) the selection of the architecture (allocation) including general purpose and dedicated processors, ASICs, busses and memories, (2) the mapping of the specification onto the selected architecture in space (binding) and time (scheduling), and (3) the design space exploration with the goal to find a set of implementations that satisfy a number of constraints on cost and performance. Existing methodologies often consider a fixed architecture, perform the binding only, do not reflect the tight interdependency between binding and scheduling, do not consider communication (tasks and resources), or require long run-times preventing design space exploration, or yield only one implementation with optimal cost. Here, a model is introduced that handles all mentioned requirements and allows the task of system-synthesis to be specified as an optimization problem. The application and adaptation of an Evolutionary Algorithm to solve the tasks of optimization and design space exploration is described. read more read less

Topics:

Design space exploration (65%)65% related to the paper, Reference architecture (60%)60% related to the paper, Software architecture (59%)59% related to the paper, Optimization problem (55%)55% related to the paper, Evolutionary algorithm (55%)55% related to the paper
View PDF
238 Citations
open accessOpen access Journal Article DOI: 10.1007/S10617-018-9203-6
A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria
Mohamed Abdel-Basset1, Gunasekaran Manogaran2, Abduallah Gamal1, Florentin Smarandache3

Abstract:

For any organization, the selection of suppliers is a very important step to increase productivity and profitability. Any organization or company seeks to use the best methodology and the appropriate technology to achieve its strategies and objectives. The present study employs the neutrosophic set for decision making and eva... For any organization, the selection of suppliers is a very important step to increase productivity and profitability. Any organization or company seeks to use the best methodology and the appropriate technology to achieve its strategies and objectives. The present study employs the neutrosophic set for decision making and evaluation method (DEMATEL) to analyze and determine the factors influencing the selection of SCM suppliers. DEMATEL is considered a proactive approach to improve performance and achieve competitive advantages. This study applies the neutrosophic set Theory to adjust general judgment, using a new scale to present each value. A case study implementing the proposed methodology is presented (i.e. selecting the best supplier for a distribution company). This research was designed by neutrosophic DEMATEL data collection survey of experts, interviewing professionals in management, procurement and production. The results analyzed in our research prove that quality is the most influential criterion in the selection of suppliers. read more read less
179 Citations
Journal Article DOI: 10.1023/A:1008832202436
An Algorithm for Hardware/Software Partitioning Using Mixed Integer Linear Programming

Abstract:

One of the key problems in hardware/software codesign is hardware/software partitioning This paper describes a new approach to hardware/software partitioning using integer programming (IP) The advantage of using IP is that optimal results are calculated for a chosen objective function The partitioning approach works fully aut... One of the key problems in hardware/software codesign is hardware/software partitioning This paper describes a new approach to hardware/software partitioning using integer programming (IP) The advantage of using IP is that optimal results are calculated for a chosen objective function The partitioning approach works fully automatic and supports multi-processor systems, interfacing and hardware sharing In contrast to other approaches where special estimators are used, we use compilation and synthesis tools for cost estimation The increased time for calculating values for the cost metrics is compensated by an improved quality of the values Therefore, fewer iteration steps for partitioning are needed The paper presents an algorithm using integer programming for solving the hardware/software partitioning problem leading to promising results read more read less

Topics:

Integer programming (59%)59% related to the paper, Branch and price (57%)57% related to the paper, Software (56%)56% related to the paper
160 Citations
open accessOpen access Journal Article DOI: 10.1007/S10617-012-9096-8
An overview of today's high-level synthesis tools
Wim Meeus1, Kristof Van Beeck2, Toon Goedemé2, Jan Meel2, Dirk Stroobandt1

Abstract:

High-level synthesis (HLS) is an increasingly popular approach in electronic design automation (EDA) that raises the abstraction level for designing digital circuits. With the increasing complexity of embedded systems, these tools are particularly relevant in embedded systems design. In this paper, we present our evaluation o... High-level synthesis (HLS) is an increasingly popular approach in electronic design automation (EDA) that raises the abstraction level for designing digital circuits. With the increasing complexity of embedded systems, these tools are particularly relevant in embedded systems design. In this paper, we present our evaluation of a broad selection of recent HLS tools in terms of capabilities, usability and quality of results. Even though HLS tools are still lacking some maturity, they are constantly improving and the industry is now starting to adopt them into their design flows. read more read less

Topics:

Electronic design automation (56%)56% related to the paper, High-level synthesis (55%)55% related to the paper, Design flow (55%)55% related to the paper, Electronic system-level design and verification (53%)53% related to the paper
View PDF
149 Citations
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Design Automation for Embedded Systems format uses SPBASIC citation style.

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

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 Design Automation for Embedded 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 Design Automation for Embedded Systems citation style.

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A matter of seconds. Besides that, our intuitive editor saves a load of your time in writing and formating your manuscript.

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 Design Automation for Embedded Systems's guidelines and download the same in Word, PDF and LaTeX formats? Try us out!.

Absolutely! You can do it using our intuitive editor. It's very easy. If you need help, you can always contact our support team.

SciSpace is an online tool for now. We'll soon release a desktop version. You can also request (or upvote) any feature that you think might be helpful for you and the research community in the feature request section once you sign-up with us.

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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)
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After uploading your paper on SciSpace, you would see a button to request a journal submission service for Design Automation for Embedded Systems.

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Yes. SciSpace provides this functionality.

After signing up, you would need to import your existing references from Word or .bib file.

SciSpace would allow download of your references in Design Automation for Embedded Systems Endnote style, according to springer guidelines.

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