Recent
Patents on Computer Science
ISSN: 1874-4796 - Volume 1, 2008

Recent Patents on Computer
Science
Volume 1, Number 2, June 2008
Contents

Develop a Non-contact Automated Dimensional Inspection
System for Automotive Manufacturing Industry Pp.
76-83
Quan Shi and Ning Xi
[Abstract]
Haptic Interfaces for Mobile Devices: A Survey of
the State of the Art Pp. 84-92
Dong-Soo Kwon and Seung-Chan Kim
[Abstract]
Recent Patents using Interactive Evolutionary Computation:
A Short Review Pp. 93-97
Alexandra Brintrup
[Abstract]
Biometrics and Privacy Pp. 98-109
Stelvio Cimato, Roberto Sassi and
Fabio Scotti
[Abstract]
Recent Patents on Computational Intelligence Pp.
110-117
David A. Elizondo and Stephen G.
Matthews
[Abstract]
Review on Recent Patents in Distributed Video Coding
Pp. 118-123
Yong Fang and Jechang Jeong
[Abstract]
Recent Patents on Programming Languages Pp.
124-149
Abbas Pourzaki and Hossein Mirzaee
[Abstract]
Patent Selections Pp. 150-154
Abstracts

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Develop a Non-contact Automated Dimensional
Inspection System for Automotive Manufacturing Industry
Quan Shi and Ning Xi
Recently, a variety of 3D sensors have been developed
for rapid freeform surface measurement. However, an automated
dimensional inspection system is required by automotive industry
to bring this state-of-the-art technology into applications.
This paper introduces a robot-integrated area sensing system
that is developed to meet this industrial requirement. The
dimensional inspection system includes a sensor planner, an
error map generator, and a sensor affixed to a robot. The
sensor planner is adapted to automatically generate robot
path based on the CAD model of a workpiece. The path data
is indicative for moving the sensor in relation to the surface
of the workpiece. Based on the measured point clouds, the
sensor planner is able to further modify the path data for
the area sensor to improve the measurement performance. The
error map generator is adapted to calculate the deviation
of 3D shapes between measurement point clouds and the CAD
information.
[Back to top]
Haptic Interfaces for Mobile Devices: A Survey of
the State of the Art
Dong-Soo Kwon and Seung-Chan Kim
Recently, the mobile device industry has embraced haptic
feedback in the form of vibrotactile sensations. With the
advances in actuator and control design, a great variety of
tactile stimuli such as short pulses and various vibrations
can be conveyed to users. Natural interfacing methods have
become an important issue in this field, because gestures
in relation to mobile devices are the most informative means
of expressing the user’s intention. Haptic feedback
can then notify the user of the success of a gestural input.
The development of mobile devices that incorporate haptic
feedback may mutually affect the development of application
software such as web-based programs, games, and location-sensitive
media. For more realistic haptic interaction, the development
of new haptic interfaces for mobile devices should be based
not only on system performance but also on further fundamental
research into human perception and usability. This paper will
cover interaction methods and application areas in mobile
devices, followed by discussion of the trends for various
devices equipped with tactile feedback, such as touchpad-
and pen-based systems.
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Recent Patents using Interactive Evolutionary Computation:
A Short Review
Alexandra Brintrup
This paper reviews recent patents that make use of Interactive
Evolutionary Computation (IEC) technology. The patents are
classified into optimisation in engineering design, health
management, consumer surveying, music generation and image
processing. It is pointed that the coupling of multi-objective
optimisation and IEC in engineering design, the use of prediction
tools to reduce user fatigue, engaging multiple users in consumer
product surveys are the new areas in IEC research that has
shown a trend for commercialisation. The increasing number
of recent patents in these areas shows that IEC continues
to be a promising solution to meet humanised computational
intelligence requirements today and tomorrow.
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Biometrics and Privacy
Stelvio Cimato, Roberto Sassi and
Fabio Scotti
By now, biometric systems find already home in a broad
range of commercial and institutional applications. They are
typically employed to authenticate users before allowing access
to restricted areas or services. The interest in biometrics
is mainly due to their potential advantages over traditional
authentication procedures. Such advantages extend across:
security, accuracy, reliability, usability, and friendliness.
Unfortunately, with the benefits also possible risks arise.
A main concern in the design of biometric authentication systems
is the protection of the biometric templates. In fact, potential
threats to users’ privacy might derive from the abuse
of biometric information. These privacy concerns are the subject
of current discussions and often prevent the adoption of biometric
systems on a large scale. The aim of this paper is to present
the latest advances in the area of biometric authentication
systems comprising the construction of biometric templates
from actual samples. The discussion will cover research results
published in the open literature and patents recently filed
with inventions related to the field.
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Recent Patents on Computational Intelligence
David A. Elizondo and Stephen G.
Matthews
The field of computational intelligence is the successor
of artificial intelligence. It combines elements of learning,
evolution and fuzzy logic to create programs that can exhibit,
to some degree, intelligent behaviour. The last few years
have seen a growth in theoretical and practical developments
in this field. This paper presents an extensive survey of
the latest patents in the domain of computational intelligence.
It discusses and summarises some of these latest developments
in terms of patents. The patents are categorised by their
domain of application: Artificial Neural Networks, Fuzzy Logic
and Evolutionary Algorithms and further classified by the
application area.
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Review on Recent Patents in Distributed Video Coding
Yong Fang and Jechang Jeong
The distributed video coding (DVC) is a new type of video
coding scheme which is fundamentally different from conventional
video coding schemes. The key feature of the DVC is separate
encoding and joint decoding which is attractive in many cases
when communications between encoders are prohibited. The DVC
is based on Slepian and Wolf’s and Wyner and Ziv’s
information-theoretic results from the 1970s. This paper reviews
the recent patents on practical distributed video coding schemes.
The key components in a DVC system, such as Slepian-Wolf coding,
quantization, spatial and temporal decorrelation, correlation
noise modeling, encoder rate control, etc., are discussed.
Some practical DVC systems are introduced as examples. This
paper also points out future works on this issue.
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Recent Patents on Programming Languages
Abbas Pourzaki and Hossein Mirzaee
Programming languages are the way for a person to express
a mental plan to understanding by a computer. In this paper,
recent patents and novelties on programming languages are
described and discussed. First section of this literature
includes histories, relation with hardware enhancement of
computer languages. Then, various subject categories of programming
languages such as functional, object oriented, scripting,
concurrent, procedural, applicative, visual and dataflow introduced,
completely. Generation classes are also discussed from first
generation to fifth generation languages. Finally, current
and future of recent patents on programming languages and
their characteristics will be discussed.
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