State-of-the-art of graphic software packages

1977 ◽  
Vol 11 (3) ◽  
pp. 1-117 ◽  
Author(s):  
Compuater Graphics staff
1996 ◽  
Vol 3 (29) ◽  
Author(s):  
Lars Arge

Ordered Binary-Decision Diagrams (OBDD) are the state-of-the art<br />data structure for boolean function manipulation and there exist<br />several software packages for OBDD manipulation. OBDDs have<br />been successfully used to solve problems in e.g. digital-systems design, verification and testing, in mathematical logic, concurrent system design and in artificial intelligence. The OBDDs used in many of these applications quickly get larger than the available main memory and it becomes essential to consider the problem of minimizing the Input/Output (I/O) communication. In this paper we analyze why existing OBDD manipulation algorithms perform poorly in an I/O environment and develop new I/O-efficient algorithms.


Author(s):  
Loı̈c M. Roch ◽  
Florian Häse ◽  
Christoph Kreisbeck ◽  
Teresa Tamayo-Mendoza ◽  
Lars P. E. Yunker ◽  
...  

<div>Autonomous or “self-driving” laboratories combine robotic platforms with artificial intelligence to increase the rate of scientific discovery. They have the potential to transform our traditional approaches to experimentation. Although autonomous laboratories recently gained increased attention, the requirements imposed by engineering the software packages often prevent their development. Indeed, autonomous laboratories require considerable effort in designing and writing advanced and robust software packages to control, orchestrate and synchronize automated instrumentations, cope with databases, and interact with various artificial intelligence algorithms. To overcome this limitation, we introduce ChemOS, a portable, modular and versatile software package, which supplies the structured layers indispensable for operating autonomous laboratories. Additionally, it enables remote control of laboratories, provides access to distributed computing resources, and comprises state-of-the-art machine learning methods. We believe that ChemOS will reduce the time-to-deployment from automated to autonomous discovery, and will provide the scientific community with an easy-to-use package to facilitate novel discovery, at a faster pace.</div>


Author(s):  
Dazhong Wu ◽  
Janis Terpenny ◽  
Dirk Schaefer

AbstractThis paper (Wu 2016), which was published in AI EDAM online on August 22, 2016, has been retracted by Cambridge University Press as it is very similar in content to a published ASME Conference Proceedings paper. The article in question and the ASME Conference Proceedings paper were submitted for review with AI EDAM and the ASME at similar times, but copyright was assigned to ASME before the paper was accepted in AI EDAM and therefore the article in AI EDAM is being retracted. (In recent years, industrial nations around the globe have invested heavily in new technologies, software, and services to advance digital design and manufacturing using cyber-physical systems, data analytics, and high-performance computing. Many of these initiatives, such as cloud-based design and manufacturing, fall under the umbrella of what has become known as Industry 4.0 or Industrial Internet and are often hailed as pillars of a new industrial revolution. While an increasing number of companies are developing or already offer commercial cloud-based software packages and services for digital design and manufacturing, little work has been reported on providing a review of the state of the art of these commercial software and services as well as identifying research gaps in this field. The objective of this paper is to present a state-of-the-art review of digital design and manufacturing software and services that are currently available on the cloud. The focus of this paper is on assessing to what extent engineering design, engineering analysis, manufacturing, and production across all phases of the product development lifecycles can already be performed based on the software and services accessed through the cloud. In addition, the key capabilities and benefits of these software packages and services are discussed. Based on the assessment of the core features of commercial software and services, it can be concluded that almost all phases of product realization can be conducted through digital design and manufacturing software and services on the cloud. Finally, existing research gaps and related challenges to overcome are identified. The state-of-the-art review serves to provide a technology guide for decision makers in their efforts to select suitable cloud-based software and services as alternatives to existing in-house resources as well as to recommend new research areas.)


2010 ◽  
Vol 426-427 ◽  
pp. 559-563 ◽  
Author(s):  
Song Lin Ding ◽  
John Mo ◽  
D. Yang

Over one hundred types of commercial CAD/CAM systems are currently used in various industries. To meet the increasing demand for high speed machining (HSM) from shop floors most of these systems have integrated functions for the generation of HSM tool path. However, the strategies they adopted and the qualities of HSM tool path generated by these packages differ significantly from system to system. This paper reviews the state-of-the-art HSM strategies adopted by industrial CAD/CAM systems. The review is based on sixteen widely used software packages which include both advanced systems and the relatively concise packages. HSM features of each system are summarized; HSM strategies adopted by those systems are presented; the advantages and disadvantages are discussed as well.


Author(s):  
Robert Niederheiser ◽  
Martin Mokroš ◽  
Julia Lange ◽  
Helene Petschko ◽  
Günther Prasicek ◽  
...  

Terrestrial photogrammetry nowadays offers a reasonably cheap, intuitive and effective approach to 3D-modelling. However, the important choice, which sensor and which software to use is not straight forward and needs consideration as the choice will have effects on the resulting 3D point cloud and its derivatives. <br><br> We compare five different sensors as well as four different state-of-the-art software packages for a single application, the modelling of a vegetated rock face. The five sensors represent different resolutions, sensor sizes and price segments of the cameras. The software packages used are: (1) Agisoft PhotoScan Pro (1.16), (2) Pix4D (2.0.89), (3) a combination of Visual SFM (V0.5.22) and SURE (1.2.0.286), and (4) MicMac (1.0). We took photos of a vegetated rock face from identical positions with all sensors. Then we compared the results of the different software packages regarding the ease of the workflow, visual appeal, similarity and quality of the point cloud. <br><br> While PhotoScan and Pix4D offer the user-friendliest workflows, they are also “black-box” programmes giving only little insight into their processing. Unsatisfying results may only be changed by modifying settings within a module. The combined workflow of Visual SFM, SURE and CloudCompare is just as simple but requires more user interaction. MicMac turned out to be the most challenging software as it is less user-friendly. However, MicMac offers the most possibilities to influence the processing workflow. The resulting point-clouds of PhotoScan and MicMac are the most appealing.


Author(s):  
Dazhong Wu ◽  
Janis Terpenny ◽  
Dirk Schaefer

In recent years, industrial nations around the globe have invested heavily in new technologies, software, and services to advance digital design and engineering analysis using the digital thread, data analytics, and high performance computing. Many of these initiatives such as Cloud-Based Design and Engineering analysis (CBDEA) fall under the umbrella of what has become known as Industry 4.0 or Industrial Internet. While an increasing number of companies are developing or already offering commercial cloud-based software packages and services for digital design and engineering analysis, little work has been reported on analyzing and documenting the related state-of-the-art as well as identifying potentially critical research gaps to be addressed in advancing this rapidly growing field. The objective of this paper is to present a state-of-the-art review of digital design and engineering analysis software and services that are currently available on the cloud. The main focus of this paper is on assessing the extent to which design and engineering analysis can already be performed based on the software and services accessed through the cloud. In addition, the key capabilities and benefits of these software packages and services are discussed. Based on the assessment of the core features of commercial CBDEA software and service packages, results suggest that almost all phases of a typical design and engineering analysis process can indeed already be conducted through cloud-based software tools and services.


Author(s):  
Hyoung-Gon Lee ◽  
Edmund W. Schuster ◽  
Stuart J. Allen ◽  
Pinaki Kar

Commonly provided by ERP vendors, master production scheduling (MPS) systems often strive to meet the needs of a large user base while limiting software functionality. Subsequently, business process reengineering becomes the means for firms to adapt to MPS software packages. This article develops a flexible approach for MPS delivery as an alternative to packaged software. The article examines the general case of open system architecture to deliver a specific master scheduling model to end-users. The open system approach fulfills a goal to standardize and speed the process of modeling in practice by creating a supply network for mathematical models that is searchable across the Internet with precision. The value lies on quickly putting state-of-the-art modeling in the hands of many users with no local computer implementation other than downloading an Excel spreadsheet.


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