scholarly journals Today’s computing challenges: opportunities for computer hardware design

2021 ◽  
Vol 7 ◽  
pp. e420
Author(s):  
Woorham Bae
Keyword(s):  
Continuous Improvement ◽  
Hardware Design ◽  
Digital Data ◽  
Computer Hardware ◽  
Computing Systems ◽  
Novel Technologies ◽  
Process Memory ◽  
Technical Challenges ◽  
Near Future ◽  
Hardware Industry

Due to the explosive increase of digital data creation, demand on advancement of computing capability is ever increasing. However, the legacy approaches that we have used for continuous improvement of three elements of computer (process, memory, and interconnect) have started facing their limits, and therefore are not as effective as they used to be and are also expected to reach the end in the near future. Evidently, it is a large challenge for computer hardware industry. However, at the same time it also provides great opportunities for the hardware design industry to develop novel technologies and to take leadership away from incumbents. This paper reviews the technical challenges that today’s computing systems are facing and introduces potential directions for continuous advancement of computing capability, and discusses where computer hardware designers find good opportunities to contribute.

Development and Implementation of Shape Comparison of 3D CAD Models

2009 ◽  
Author(s):  
Sagar Chowdhury ◽  
Zahed Siddique
Keyword(s):  
Computer Hardware ◽  
Efficient Design ◽  
User Friendliness ◽  
Specialized Knowledge ◽  
3D Cad ◽  
Large Databases ◽  
Modeling Software ◽  
Cad Models ◽  
Near Future ◽  
Selection Of

With the advancements of 3D modeling software, the use of CAD in design has become a standard practice. In recent years development in computer hardware and improvements in user friendliness of the CAD software has allowed designers to quickly and easily modify the CAD models. This modification capability allows CAD to be an integral part of the design process. Due to the increase in global competition, companies have become increasingly interested in fast and efficient design processes. One way to achieve improved efficiency is through better collaboration among designers working in common or similar projects and disciplines. A large design problem often requires specialized knowledge from several fields. Collaboration among the designers from these fields will ensure efficient design. Interaction among the designers can prevent redesign of similar components/subsystems, which requires the ability to share their designs. With the increase of collaboration, designers can now get access to large databases of 3D CAD models. But the challenge lies in search capabilities to identify common models from a large database. These considerations suggest that in the near future a challenge in 3D CAD industry will be how to find models of similar components and products. This paper presents an approach and its implementation to measure the similarity among a number of CAD models. The approach is based on the extraction and organization of information from the CAD models, which is followed by the suitable selection of commonality index and calculation of the commonality among a set of CAD models. A set of Vacuum cleaners are modeled and then compared to demonstrate the application of the approach.

From CAD to GIS to the Geoweb: A Natural Evolution

2010 ◽  
Author(s):  
Steve Adam
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Oil And Gas ◽  
Spatial Information ◽  
Digital Data ◽  
Computer Hardware ◽  
Disruptive Technology ◽  
Data Sets ◽  
Spatial Data Sets ◽  
Pipeline Design

Computer hardware and software have played a significant role in supporting the design and maintenance of pipeline systems. CAD systems allowed designers and drafters to compile drawings and make edits at a pace unmatched by manual pen drawings. Although CAD continues to provide the environment for a lot of pipeline design, Geographic Information Systems (GIS) are also innovating pipeline design through routines such as automated alignment sheet generation. What we have seen over the past two or three decades is an evolution in how we manage the data and information required for decision making in pipeline design and system operation. CAD provided designers and engineers a rapid electronic method for capturing information in a drawing, editing it, and sharing it. As the amount of digital data available to users grows rapidly, CAD has been unable to adequately exploit data’s abundance and managing change in a CAD environment is cumbersome. GIS and spatial data management have proven to be the next evolution in situations where engineering, integrity, environmental, and other spatial data sets dominate the information required for design and operational decision making. It is conceivable that GIS too will crumble under the weight of its own data usage as centralized databases become larger and larger. The Geoweb is likely to emerge as the geospatial world’s evolution. The Geoweb implies the merging of spatial information with the abstract information that currently dominates the Internet. This paper and presentation will discuss this fascinating innovation, it’s force as a disruptive technology, and oil and gas applications.

Prospect Analysis of IOT Application in Fixed Assets Management of Colleges and Universities

2014 ◽  
Vol 945-949 ◽  
pp. 3581-3584 ◽  
Author(s):  
Yun Peng
Keyword(s):  
Continuous Improvement ◽  
Colleges And Universities ◽  
Management Research ◽  
Bar Code ◽  
Rfid Tag ◽  
Management Efficiency ◽  
Fixed Assets ◽  
Near Future ◽  
Fixed Assets Management ◽  
Assets Management

The fixed assets management of colleges and universities is still adopted by the method of semi-manual operation, at relatively low management efficiency. To solve this problem, we propose to introduce IOT technology into assets management. After comparing the advantages of RFID tag relative to bar code label, we analyze the change that IOT application brings to fixed assets management in colleges and universities, and current constraint of IOT applied in assets management. Research shows that IOT technology can help to improve efficiency of fixed assets management of colleges and universities. Though current IOT technology is still deficient, along with continuous improvement, in the near future, IOT technology will increasingly be promoted and popularized in the field of fixed assets management of colleges and universities.

scholarly journals EEG Based Brain Computer Interfacing for Hand Assistant System Using Wavelet Transform

2020 ◽  
Vol 32 ◽  
pp. 03035
Author(s):  
Dayanand Dhongade ◽  
Mukesh Patil
Keyword(s):  
Wavelet Transform ◽  
Analog Signal ◽  
Digital Data ◽  
Robotic Hand ◽  
Eeg Signals ◽  
Arduino Uno ◽  
Brain Computer Interfacing ◽  
Low Amplitude ◽  
Near Future ◽  
Electroencephalogram Eeg

Robots have been of great use to mankind for several years. In situation where human body fails to operate as per the need robot’s functions in those situations quite efficiently. Electroencephalogram (EEG) controlled hand assistant makes use of EEG signals and Brain Computer Interface (BCI). EEG signals are obtained from the brain using Emotiv Insight headset, after which processing and features extraction of the signals is performed and then conditioning of signals is done as it is a low amplitude signal with additive noise. Signals processing is done on the analog signal by using wavelet transform. Wavelet transform will help to extract information from the analog signal. Then the signals are assigned with the signatures to perform the dedicated task Filtered signal is given to analog pins of Arduino Uno. With the help of inbuilt ADC available on Arduino Uno, Digital Data is also made available on the digital pins. Then through MATLAB access Arduino board. In near future if it gets similar kind of input it will understand exactly what operation to perform. Further the Robotic hand assistant can be operated as we want.

High-performance computing systems: Status and outlook

Acta Numerica ◽  
2012 ◽  
Vol 21 ◽  
pp. 379-474 ◽  
Author(s):  
J. J. Dongarra ◽  
A. J. van der Steen
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
State Of The Art ◽  
Computing Systems ◽  
Future Developments ◽  
Steady Growth ◽  
Current State ◽  
Near Future ◽  
Performance Computing ◽  
Shed Light

This article describes the current state of the art of high-performance computing systems, and attempts to shed light on near-future developments that might prolong the steady growth in speed of such systems, which has been one of their most remarkable characteristics. We review the different ways devised to speed them up, both with regard to components and their architecture. In addition, we discuss the requirements for software that can take advantage of existing and future architectures.

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