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Serial No
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IEEE Project
Details
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IEEE
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MOBILE TECHNOLOGY
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1.
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A Framework for VoIP
Speech Data Generation Using Asterisk
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Chowdhury,
P.; Mandal, A.; Kumar, K.R.P.; Athithan, G.;
Devices and
Communications (ICDeCom), 2011 International Conference on
Digital Object Identifier: 10.1109/ICDECOM.2011.5738538
Publication Year: 2011 , Page(s): 1 - 4
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State-of-the-art
approaches for automatic recognition of speech, speaker or language
specific information from spoken data rely on statistical techniques that
require large databases for training and testing. Application of these
techniques on Voice over Internet Protocol (VoIP) environment requires studying
them under different codec and network conditions. Though earlier works
have studied and reported the same, a framework for automatic generation of
VoIP speech is lacking. A number of speech corpus for different
applications are available for microphone speech. As domain specific
performance needs to be evaluated in matched acoustic characteristics and
application conditions, methods that enable automatic generation of target
speech from the available microphone speech are important to a researcher
in saving time and effort. We present a framework based on Asterisk, a
freely available open source Internet Protocol-Public Exchange (IP-PBX)
software for realization of VoIP speech from the available microphone
speech corpus in network conditions that is reflective of actual VoIP
channels.
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VOIP
IEEE Journals
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2.
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Gaukler, G.M.;
Industrial Informatics, IEEE Transactions on
Volume: 7 , Issue: 2
Digital Object Identifier: 10.1109/TII.2010.2068305
Publication Year: 2011 ,
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In this paper, we present a
model to help evaluate the impact of an introduction of item-level
radio-frequency identification (RFID) in a
retail environment where stock-out-based substitution is common.
There are two main thrust
areas in this work. First, we examine the impact of RFID
in a centralized setting where retailer and manufacturer are one entity.
This thrust area is concerned with evaluating the profitability of RFID and exploring which product properties favor an RFID implementation. Second, we examine the impact of RFID in a decentralized setting, where retailer and
manufacturer independently maximize their profits. We investigate the
problem of sharing the costs of RFID, from both
the perspective of tag costs and fixed costs. Our research shows that the
presence of substitution at the shelf plays a major role in determining the
expected benefits of an RFID implementation, as
well as in determining the optimal allocation of these benefits among
retailer and manufacturer. It is therefore critically important that
decision makers make strong efforts to correctly account for subsitution
effects when evaluating potential item-level RFID
implementations in the retail sector
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RFID
IEEE Journals
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3.
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Chun-Hee Lee; Chin-Wan
Chung;
Knowledge and Data
Engineering, IEEE
Transactions on
Volume: 23 , Issue: 5
Digital Object Identifier: 10.1109/TKDE.2010.136
Publication Year: 2011 , Page(s): 742 - 758
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RFID
technology can be applied to a broad range of areas. In particular, RFID is very useful in the area of business, such as
supply chain management. However, the amount of RFID
data in such an environment is huge. Therefore, much time is needed to
extract valuable information from RFID data for
supply chain management. In this paper, we present an efficient method to
process a massive amount of RFID data for supply
chain management. We first define query templates to analyze the supply
chain. We then propose an effective path encoding scheme that encodes the
flows of products. However, if the flows are long, the numbers in the path
encoding scheme that correspond to the flows will be very large. We solve
this by providing a method that divides flows. To retrieve the time
information for products efficiently, we utilize a numbering scheme for the
XML area. Based on the path encoding scheme and the numbering scheme, we
devise a storage scheme that can process tracking queries and path oriented
queries efficiently on an RDBMS. Finally, we propose a method that
translates the queries to SQL queries. Experimental results show that our
approach can process the queries efficiently.
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IEEE Journals
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4.
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Ni, L.M.; Dian Zhang;
Souryal, M.R.;
Wireless Communications,
IEEE
Volume: 18 , Issue: 2
Digital Object Identifier: 10.1109/MWC.2011.5751295
Publication Year: 2011
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Radio frequency
identification usually incorporates a tag into an object for the purpose of
identification or localization using radio signals. It has gained much
attention recently due to its advantages in terms of low cost and ease of
deployment. This article presents an overview of RFID-based
localization and tracking technologies, including tag-based (e.g.,
LANDMARC), reader-based (e.g., reverse RFID),
transceiver-free, and hybrid approaches. These technologies mainly use the
readily available resource of radio signal strength information or RSS
change information to localize the target objects. A number of well-known
approaches and their limitations are introduced. This article also
indicates the challenges and possible solutions in the near and long terms.
The challenges include multipath propagation, interference, and localizing
multiple objects, among others. Most of these challenges exist not only for
RFID-based localization, but also for other
RF-based localization technologies.
_files/image006.gif) _files/image008.jpg)
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IEEE Journals
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5.
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D'Souza, I.; Wei Ma;
Notobartolo, C.;
IT Professional
Volume: 13 , Issue: 2
Digital Object Identifier: 10.1109/MITP.2011.31
Publication Year: 2011
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Real-time location systems
can help hospitals execute a coordinated response during a disaster.
However, before implementing an RTLS in such a setting, management must
consider the various technologies and the associated benefits, drawbacks,
and challenges.
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IEEE Journals
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IMAGE
PROCESSING
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6.
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Farouk, R.M.; Kumar, R.;
Riad, K.A.;
Computer Vision, IET
Volume: 5 , Issue: 3
Digital Object Identifier: 10.1049/iet-cvi.2010.0133
Publication Year: 2011
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Iris
recognition is one of the most widely used
biometric technique for personal identification. This identification is
achieved in this work by using the concept that, the iris
patterns are statistically unique and suitable for biometric measurements.
In this study, a novel method of recognition of
these patterns of an iris is considered by using
a multidimensional artificial neural network. The proposed technique has
the distinct advantage of using the entire resized iris
as an input at once. It is capable of excellent pattern recognition properties as the iris
texture is unique for every person used for recognition.
The system is trained and tested using two publicly available databases
(CASIA and UBIRIS). The proposed approach shows significant promise and
potential for improvements, compared with the other conventional matching
techniques with regard to time and efficiency of results
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IRIS
IET Journals
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7.
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Sheng Li; Kot, A.C.;
Signal Processing Letters,
IEEE
Volume: 18 , Issue: 2
Digital Object Identifier: 10.1109/LSP.2010.2097592
Publication Year: 2011
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A fingerprint
authentication system for the privacy protection of the fingerprint
template stored in a database is introduced here. The considered fingerprint
data is a binary thinned fingerprint image, which will be embedded with
some private user information without causing obvious abnormality in the
enrollment phase. In the authentication phase, these hidden user data can
be extracted from the stored template for verifying the authenticity of the
person who provides the query fingerprint. A novel data hiding scheme is
proposed for the thinned fingerprint template. This scheme does not produce
any boundary pixel in the thinned fingerprint during data embedding. Thus,
the abnormality caused by data hiding is visually imperceptible in the
marked-thinned fingerprint. Compared with using existing binary image data
hiding techniques, the proposed method causes the least abnormality for a
thinned fingerprint without compromising the performance of the fingerprint
identification.
_files/image014.gif)
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Finger Print
IEEE Journals
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8.
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Abdullah, M.A.M.;
Al-Dulaimi, F.H.A.; Al-Nuaimy, W.; Al-Ataby, A.;
Biomedical Engineering
(MECBME), 2011 1st Middle East Conference on
Digital Object Identifier: 10.1109/MECBME.2011.5752146
Publication Year: 2011
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Smart cards are
increasingly being used as a form of identification and authentication. One
inherent problem with smart cards, however, is the possibility of loss or
theft. Current options for securing smart cards against unauthorized use
are primarily restricted to passwords. Passwords are easy enough for others
to steal so that they do not offer sufficient protection. This has promoted
interest in biometric identification methods, including iris recognition. The iris is, due to its unique biological properties,
exceptionally suited for identification. It is protected from the
environment, stable over time, unique in shape and contains a high amount
of discriminating information. This paper proposes a method to integrate iris recognition with the
smart card to develop a high security access environment. An iris recognition system and
smart card programming circuit with its software have been designed.
Template on card (TOC) category has been employed. Hence, the extracted iris features stored in smart card are compared
against the data acquired from a camera or database for authentication. The
proposed algorithm has superior performance in terms of security, accuracy
and consistency compared with other published technology.
_files/image016.gif)
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IRIS
IEEE
Conference
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9.
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Mi-Ae Kim; Kil-Sang Yoo;
Won-Hyung Lee;
Consumer Electronics
(ICCE), 2011 IEEE International Conference on
Digital Object Identifier: 10.1109/ICCE.2011.5722831
Publication Year: 2011
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This paper proposes a
method of extracting a digital signature that can localize tampered areas. The method
of generating the digital signature
of an image is based on the regularity properties of wavelet transform
coefficients
Objecive: Person
identification as a security means has a variety of important applications.
Many techniques and automated systems have been developed over the past few
decades; each has its own advantages and limitations. There are often
trade-offs amongst reliability, the ease of use,ethical/human rights
issues, and acceptability in a particular application. Multimodal
identification and authentication can, to some extent, alleviate the
dilemmas and improve the overall performance. This paper proposes a new
method of the combined use of signatures and utterances of pronounced names
to identify or authenticate persons. Unlike typical signature verification
methods, the dynamic features of signatures are captured as sound.The
multimodal approach shows increased reliability, providing a relatively
simple and potentially useful method for person identification and
authentication.
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IEEE Conferences
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Video
Processing
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10.
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Shih-Chia Huang;
Circuits and Systems for
Video Technology, IEEE
Transactions on
Volume: 21 , Issue: 1
Digital Object Identifier: 10.1109/TCSVT.2010.2087812
Publication Year: 2011
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Motion
detection is the first essential process in the
extraction of information regarding moving objects and makes use of
stabilization in functional areas, such as tracking, classification,
recognition, and so on. In this paper, we propose a novel and accurate
approach to motion detection
for the automatic video surveillance system. Our method achieves complete detection of moving objects by involving three
significant proposed modules: a background modeling (BM) module, an alarm
trigger (AT) module, and an object extraction (OE) module. For our proposed
BM module, a unique two-phase background matching procedure is performed
using rapid matching followed by accurate matching in order to produce
optimum background pixels for the background model. Next, our proposed AT
module eliminates the unnecessary examination of the entire background
region, allowing the subsequent OE module to only process blocks containing
moving objects. Finally, the OE module forms the binary object detection mask in order to achieve highly complete detection of moving objects. The detection
results produced by our proposed (PRO) method were both qualitatively and
quantitatively analyzed through visual inspection and for accuracy, along
with comparisons to the results produced by other state-of-the-art methods.
The analyses show that our PRO method has a substantially higher degree of
efficacy, outperforming other methods by an metric accuracy rate of up to
53.43%.
_files/image020.gif)
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Motion Detection
IEEE Journals
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11.
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Xiong, B.; Fan, X.; Zhu, C.; Jing, X.;
Peng, Q.;
Circuits and Systems for
Video Technology, IEEE
Transactions on
Volume: PP , Issue: 99
Digital Object Identifier: 10.1109/TCSVT.2011.2133530
Publication Year: 2011
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Face regions are visual focuses in conversational
video communications, thus better reconstruction quality of the regions of
interest (ROI) is highly desired or necessary in the bandwidth-constrained
conversational video coding. In this paper, we introduce an efficient motion based face detection
method to identify face blocks in the first step, which can reduce
computational complexity substantially without any loss in face detection results. Then an active contour model is
applied to find face contours for more refined and compact face regions.
Based on the well-located and compact face regions, facial feature priority
based bit allocation is proposed for face ROI based conversational video
coding. Experimental results demonstrate that the proposed face region
based coding can considerably improve the coding results in the face
regions, compared with two other relevant video coding schemes, in terms of
objective rate-distortion performance as well as subjective visual quality
_files/image022.jpg)
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IEEE Transactions
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12.
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Besita Augustin, M.; Juliet, S.;
Palanikumar, S.;
Emerging Trends in
Electrical and Computer Technology (ICETECT), 2011 International Conference
on
Digital Object Identifier: 10.1109/ICETECT.2011.5760189
Publication Year: 2011
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This work describes a method for accurately
tracking persons in indoor surveillance video stream obtained from a static
camera with difficult scene properties including illumination changes and
solves the major occlusion problem. First, moving objects are precisely
extracted by determining its motion, for further
processing. The scene illumination changes are averaged to obtain the
accurate moving object during background subtraction process. In case of
objects occlusion, we use the color feature information to accurately distinguish
between objects. The method is able to identify moving persons, track them
and provide unique tag for the tracked persons. The effectiveness of the
proposed method is demonstrated with experiments in an indoor environment.
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IEEE Conferences
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13.
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Chakraborty, I.; Paul, T.K.;
Applied Machine
Intelligence and Informatics (SAMI), 2011 IEEE 9th International Symposium
on
Digital Object Identifier: 10.1109/SAMI.2011.5738893
Publication Year: 2011
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Human figure identification
is always a challenging move in field of pattern recognition. This paper
presents a complete algorithm to find a single object (human body) and
identify the object as human being. The algorithm starts the segmentation
process with basic frame difference method and use morphological operators,
edge detection, feature point generation and
finally spline interpolation to find the human like object. After
completion of successful segmentation the algorithm takes a gentle approach
to identify the object as human body and detect the pose by matching the
templates. This paper describes every single step of single human body detection with perfection and ready for real life use
_files/image026.gif)
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IEEE Conferences
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Mobile Technology
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14.
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Xue Huixia; Gao Lin; Wang Lu; Li Wenbin;
Yang Kai;
Measuring Technology and
Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Volume: 2
Digital Object Identifier: 10.1109/ICMTMA.2011.444
Publication Year: 2011
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To meet the mountainous districts situation
in China, this paper introduces a monorail car's wireless control system
used in orchard which is based on smart phone and GPRS wireless
communication technology. The system can obtain monorail car's speed and
position information by rotary encoder, control and transmit data by
wireless communication. A SMS module on Windows
Mobile Embedded OS 6.1 is developed based on GSM
protocol system. Smart phone can receive car's initial information and send
orders to the on-vehicle controller for operating the car by GSM message. It describes how the hardware platform
works and how to accomplish the design with software. Meanwhile, it tests
the data transmission time and makes improvement. The rational design makes
it easier to operate, which is proved to be available by tests
_files/image027.gif)
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Robotics
IEEE Conferences
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15.
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Hao Zhao; Muftic, S.;
Internet Security
(WorldCIS), 2011 World Congress on
Publication Year: 2011
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This paper describes our concept, design and
current implementation of the Secure Mobile
Wallet. Mobile Wallet is an application stored
in mobile phones providing to subscribers the
possibility to perform various mobile financial
transactions. In our approach Secure Mobile
Wallet is stored and running in the Javacard SIM chip, called UICC. It
comprises several Javacard applets supporting several types of financial
transactions - mobile banking, mobile payments, mobile
commerce, mobile micro-loans, mobile ticketing, mobile
promotions, and so on. Secure Mobile Wallet
supports over-the-air (OTA) transactions based on SMS, GPRS, or mobile Internet protocols and also over-the-counter
(OTC) transactions based on NFC or Bluetooth protocols. For users, messages
and data stored in the Secure Mobile Wallet are
managed and maintained using both, OTA and OTC, protocols. Security is
guaranteed by a combination of symmetric and asymmetric cryptography. As a
client's application, the Secure Mobile Wallet
is integrated into our larger, secure mobile
transactions system – SAFE
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IEEE Conferences
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16.
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Zabri, S.N.; Awang, A.H.; Salahuddin, L.;
Said, M.M.;
Advanced Communication
Technology (ICACT), 2011 13th International Conference on
Publication Year: 2011
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With mobile commerce
technology continuously being taken more into use and introduced in new
markets, the transition to mobile commerce
(m-commerce) will make mobile shopping
exceedingly popular. In the near future mobile
shopping will probably replace today's markets or shopping complex. This
project presents a mobile application which is
built using Mobile Information Device Profile
(MIDP) of the Java 2 Platform Micro Edition (J2ME), that enable users to
purchase flowers without a trip to the market or elsewhere. Users can
access the application or service through mobile
phones and view the available items. The application has been deployed and
run on an emulator (Wireless Toolkit 2.5 Beta) with a DefaultColorPhone as
the default emulator.
_files/image031.gif)
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IEEE Conferences
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Voice Processing - Language Processing
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17.
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Rafieee, M.S.; Jafari, S.; Ahmadi, H.S.;
Jafari, M.;
Computer Modelling and
Simulation (UKSim), 2011 UkSim 13th International Conference on
Digital Object Identifier: 10.1109/UKSIM.2011.64
Publication Year: 2011 ,
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There have been a great
deal of discussions throughout the past few years over whether or not Text-to-Speech (TTS) machines can synthesize natural synthetic
speech from texts.
Aiming to address this need, in this paper we
have considered some significant viewpoints of Spoken Language Processing
(SLP) on the phonetic transcription of each word for the preprocessing of text-to-speech synthesis. On the other hand, lack of
researches on automatic language detection for text
transcription in different languages by considering the phonology of that
language, motivated us to make a text language identifier system for commonly-used
contexts. It therefore encouraged us to conduct
a novel research into semi-English texts that
people from different nations often use in their conversational transcripts
such as email or chat via the Internet or cell phone text
messaging services. In this research, we have investigated the language of text sequences by employing phonotactics rules,
chiefly on Finglish (a portmanteau term combining Farsi and English) which
is an alternative writing format for the Farsi Language, which has its own
orthographic system, by means of English letters. As this is the first
paper regarding Finglish texts, it can be
tremendously exciting to enhance the text-to-speech synthesis systems created by advanced Digital
Signal Processing (DSP) algorithms to specifying
the language of each sentence in the first place. Finally, we have also
proposed highly recommended writing rules for Finglish for it to be easily understood, translated to English and converted to
natural speech.
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Voice
Processing
IEEE Conferences
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18.
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Lai Mei Lee; Yusof, Umi Kalsom;
Science and Social
Research (CSSR), 2010 International Conference on
Digital Object Identifier: 10.1109/CSSR.2010.5773701
Publication Year: 2010
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Mobile phones have become a necessity in people's
life today as almost everyone will have at least one with them. Short
message service (SMS) which is an important
component in mobile phones is growing popular among mobile phone
subscribers. The use of SMS nowadays is more
than the calling function itself. In order to make the SMS
function in mobile phones more efficient and attractive, speech recognition which allows users to use it for
voice messages and enables users to speak in a natural way to communicate
with others through their mobile phones is introduced. However, speech recognition technology to SMS
is in the form of standard language is contradicted with the popularity of SMS that is used in the form of text abbreviation or
short form. The research was conducted to find a solution for speech recognition technologies to enable it to
transfer human speech into personalized text
abbreviations. Studies and findings had been conducted regarding the
possible technologies to solve problems such as voice-tag, architecture of
ASR (Automatic Speech Recognition) system and
Part-of-speech (POS). The problem with the
inability to transfer speech to text abbreviation
will be solved by adding a personalized data dictionary that enables users
to save their own personalized words by integrating the voice-tag and
part-of-speech tagging (POS) technology into
iSay-SMS to help in saving and retrieving the
text abbreviations. In addition, proposed framework of iSay-SMS is designed in such a way that promotes its
marketability and increases the acceptance among the mobile phone
subscribers
_files/image035.jpg)
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IEEE Conferences
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19.
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Tan, Baohua; Li, Jiaxiong;
Intelligent Systems and
Applications (ISA), 2011 3rd International Workshop on
Digital Object Identifier: 10.1109/ISA.2011.5873449
Publication Year: 2011
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Speech control
is a hotspot in intelligent control technology.
Automatic speech control means that machines can
recognize the context of human's voice, and
carry on the human's mind based on the
recognition results. A speech remote control
system is been realized based on computer
telecommunication integration and Web Service in this project. And the
system structure, technical implement and main function modules have been
introduced in detail.
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Robotics
IEEE Conferences
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20.
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Megalingam, R.K.; Nair, R.N.; Prakhya,
S.M.;
Advanced Communication
Technology (ICACT), 2011 13th International Conference on
Publication Year: 2011
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In this paper, we propose an Intelligent
Home Navigation System (IHNS) which comprises of a wheelchair, voice module and navigation module. It can be used by
an elderly or physically challenged person to move inside the home without
any difficulty. It's common that the elders forget the way to the different
rooms in house and the physically challenged people find it hard to move
the wheel chair without external aid. By making use of IHNS, elderly and
the physically challenged can go to different rooms in the house like
kitchen, living room, dining room etc by just speaking a word which is
predefined to that particular room. The voice of
the person is detected by voice capture module
which will be compared by voice recognition
module with predefined voices loaded in to the
system. According to the received voice, the
destination is automatically understood and the wheelchair moves according
to the route which is predefined. It is also equipped with obstacle avoidance
technique, where the person may not be able to provide proper voices at the right time. The wheel chair can
automatically navigate from one point to the other in the home as per
predefined route based on the voice received. Thus the above proposed system can be
used by elderly and physically challenged people in day to day life even if
they are alone at home
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Robotics
IEEE Conferences
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NETWORKING
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21.
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Wang, W.; Zhang, X.; Shi, W.; Lian, S.;
Feng, D.;
Network, IEEE
Volume: 25 , Issue: 3
Digital Object Identifier: 10.1109/MNET.2011.5772054
Publication Year: 2011
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Modern computer networks
are increasingly pervasive, complex, and ever-evolving due to factors like
enormous growth in the number of network users,
continuous appearance of network applications,
increasing amount of data transferred, and diversity of user behaviors.
Understanding and measuring such a network is a
difficult yet vital task for network management
and diagnosis. Network traffic
monitoring, analysis, and anomaly detection
provide useful tools for understanding network
behavior and determining network performance and
reliability so as to effectively and promptly troubleshoot and resolve
various issues in practice.
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IEEE Journals
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22.
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Opperman, C.A.; Hancke, G.P.;
Near Field Communication
(NFC), 2011 3rd International Workshop on
Digital Object Identifier: 10.1109/NFC.2011.11
Publication Year: 2011
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NFC technology can be integrated into
existing systems to simplify and speed up the process of monitoring and control of these systems. In this paper we address a
problem pertaining to the complexity of the monitoring and control of sensor or measurement equipment. Manual
monitoring of measurement systems can be a tedious endeavor, especially in
systems where the measurements are numerous and at regular intervals. A
possible solution to the tediousness of manual monitoring is to link up
measurement systems to a computer using a suitable communication protocol,
but this becomes a problem if the monitoring needs to be done remotely or
the measurement device needs to be mobile. We propose using NFC technology
to facilitate the process of data acquisition from a measurement or sensor
device. An existing measurement device can be fitted with an NFC interface
to enable easy access to measurement data by simply touching the device
with an NFC reader. By using an NFC-enabled mobile phone as a reader, the
GPRS capabilities of the phone can be implemented to enable the
transmission of acquired data to a remote location. The process is
activated by simply bringing an NFC-enabled mobile phone into close
proximity of an NFC-enabled measurement device. From a remote location,
data from these devices can be processed and control
commands can be sent to the devices, using an NFC-enabled mobile phone as
an intermediary device. Applying NFC to measurement devices can save time
and effort, and no specialized skills are needed by a person initiating the
acquisition of data, as a simple "touch' is all that is required.
_files/image045.gif)
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IEEE Conferences
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23.
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Tan, Baohua; Li, Jiaxiong;
Intelligent Systems and
Applications (ISA), 2011 3rd International Workshop on
Digital Object Identifier: 10.1109/ISA.2011.5873449
Publication Year: 2011
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Speech control is a
hotspot in intelligent control technology.
Automatic speech control means that machines can
recognize the context of human's voice, and
carry on the human's mind based on the
recognition results. A speech remote control
system is been realized based on computer
telecommunication integration and Web Service in this project. And the
system structure, technical implement and main function modules have been
introduced in detail.
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IEEE Conferences
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24.
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RITAS: Services for
Randomized Intrusion Tolerance
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Dependable
and Secure Computing, IEEE Transactions on
Publication Year: 2011 , Page(s): 122 - 136
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Randomized
agreement protocols have been around for more
than two decades. Often assumed to be inefficient due to their high
expected communication and computation complexities, they have remained
overlooked by the community-at-large as a valid solution for the deployment of fault-tolerant distributed
systems. This paper aims to demonstrate that randomization can be a very
competitive approach even in hostile environments where arbitrary faults
can occur. A stack of randomized intrusion-tolerant protocols is described and its performance
evaluated under several settings in both local-area-network (LAN) and
wide-area-network environments. The stack provides a set of relevant services ranging from basic communication primitives
up to atomic broadcast. The experimental evaluation shows that the
protocols are efficient, especially in LAN environments where no
performance reduction is observed under certain Byzantine faults
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IEEE Jornal
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Data Mining
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25.
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Automatic Template Extraction from Heterogeneous Web Pages
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Chulyun Kim; Kyuseok Shim;
Knowledge
and Data Engineering, IEEE Transactions on
Volume: 23 , Issue:
4
Digital Object Identifier: 10.1109/TKDE.2010.140
Publication Year: 2011
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World Wide Web
is the most useful source of information. In order to achieve high
productivity of publishing, the webpages in many websites are automatically
populated by using the common templates with
contents. The templates provide readers easy
access to the contents guided by consistent structures. However, for
machines, the templates are considered harmful
since they degrade the accuracy and performance of web
applications due to irrelevant terms in templates.
Thus, template detection techniques have
received a lot of attention recently to improve the performance of search
engines, clustering, and classification of web
documents. In this paper, we present novel algorithms for extracting templates from a large
number of web documents which are generated from heterogeneous templates. We cluster the web
documents based on the similarity of underlying template
structures in the documents so that the template
for each cluster is extracted simultaneously. We develop a novel goodness
measure with its fast approximation for clustering and provide
comprehensive analysis of our algorithm. Our experimental results with
real-life data sets confirm the effectiveness and robustness of our
algorithm compared to the state of the art for template
detection algorithms
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26.
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