Simily, Joseph; Dr.Kannan, B(Cochin University of Science and Technology, August , 2013)
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Abstract:
Image processing has been a challenging and multidisciplinary research area since decades with continuing improvements in its various branches especially Medical Imaging. The healthcare industry was very much benefited with the advances in Image Processing techniques for the efficient management of large volumes of clinical data. The popularity and growth of Image Processing field attracts researchers from many disciplines including Computer Science and Medical Science due to its applicability to the real world. In the meantime, Computer Science is becoming an important driving force for the further development of Medical Sciences.
The objective of this study is to make use of the basic concepts in Medical Image Processing and develop methods and tools for clinicians’ assistance. This work is motivated from clinical applications of digital mammograms and placental sonograms, and uses real medical images for proposing a method intended to assist radiologists in the diagnostic process. The study consists of two domains of Pattern recognition, Classification and Content Based Retrieval. Mammogram images of breast cancer patients and placental images are used for this study.
Cancer is a disaster to human race. The accuracy in characterizing images using simplified user friendly Computer Aided Diagnosis techniques helps radiologists in detecting cancers at an early stage. Breast cancer which accounts for the major cause of cancer death in women can be fully cured if detected at an early stage. Studies relating to placental characteristics and abnormalities are important in foetal monitoring. The diagnostic variability in sonographic examination of placenta can be overlooked by detailed placental texture analysis by focusing on placental grading. The work aims on early breast cancer detection and placental maturity analysis. This dissertation is a stepping stone in combing various application domains of healthcare and technology.
Description:
Department of Computer Applications
Cochin University of Science and Technology
Krishnan Thampi, R; Dr.Sridhar, C S(Cochin University of Science & Technology, August , 1994)
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Abstract:
A new procedure for the classification of lower case
English language characters is presented in this work . The
character image is binarised and the binary image is
further grouped into sixteen smaller areas ,called Cells .
Each cell is assigned a name depending upon the contour present in the cell and occupancy of the image contour in the cell. A data reduction procedure called Filtering is adopted to eliminate undesirable redundant information for
reducing complexity during further processing steps .
The filtered data is fed into a primitive extractor where
extraction of primitives is done .
Syntactic methods are employed for the classification of
the character . A decision tree is used for the interaction of the various components in the scheme . 1ike the
primitive extraction and character recognition. A character is recognized by the primitive by primitive construction
of its description . Openended inventories are used
for including variants of the characters and also adding
new members to the general class . Computer implementation
of the proposal is discussed at the end using handwritten
character samples . Results are analyzed and suggestions
for future studies are made. The advantages of the proposal
are discussed in detail .
Description:
Department of Electronics, Cochin
University Of Science And Technology
Mini, M G; Dr. Tessamma, Thomas(Cochin University of Science And Technology, July 14, 2004)
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Abstract:
Cancer treatment is most effective when it is detected early and the progress in
treatment will be closely related to the ability to reduce the proportion of misses in the
cancer detection task. The effectiveness of algorithms for detecting cancers can be
greatly increased if these algorithms work synergistically with those for characterizing
normal mammograms. This research work combines computerized image analysis
techniques and neural networks to separate out some fraction of the normal
mammograms with extremely high reliability, based on normal tissue identification and
removal.
The presence of clustered microcalcifications is one of the most important and
sometimes the only sign of cancer on a mammogram. 60% to 70% of non-palpable
breast carcinoma demonstrates microcalcifications on mammograms [44], [45], [46].WT based techniques are applied on the remaining mammograms, those are obviously
abnormal, to detect possible microcalcifications. The goal of this work is to improve the
detection performance and throughput of screening-mammography, thus providing a
‘second opinion ‘ to the radiologists.
The state-of- the- art DWT computation algorithms are not suitable for practical
applications with memory and delay constraints, as it is not a block transfonn. Hence in
this work, the development of a Block DWT (BDWT) computational structure having
low processing memory requirement has also been taken up.
Description:
Department of Electronics,
Cochin University of Science And Technology
Sreenivasan, P V; Dr. Philip, Kurian(Cochin University of Science & Technology, October , 2007)
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Abstract:
The present study aims at the preparation of an ABS
(acrylonitrile-butadiene-styrene) type toughened thermoplastic by melt blending polystyrene (PS) and powdered nitrile rubber (NBR). The product is an interesting
class of toughened thermoplastic, which would combine the superior mechanical
and processing characteristics of PS and the excellent oil-resistant properties of
NBR. In this thesis an attempt has been made to investigate systematically the
effect of compatibilisation and dynamic vulcanisation on the morphology and
properties of powdered nitrile rubber toughened polystyrene.
Description:
Department of Polymer Science and Rubber Technology, Cochin University of
Science and Technology
Daleesha M Viswanathan; Dr. Sumam Mary Idicula(Cochin University of Science and Technology, August 4, 2015)
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Abstract:
Sign language is the primary means of communication for the hard to
hear and speak people around the globe. Sign language emphasizes on visual
possibilities as the participants are unable to hear sound patterns. Sign language
uses different signs, body postures and gestures as opposed to sound patterns
for communication, and evolves like any other spoken language. American
Sign Language (ASL), British sign language (BSL), Arabic sign language
(ArSL), Chinese sign language (CSL) and Indian sign language (ISL) are some
of the widely used sign language systems around the world. There exists
significant variation between sign languages, and due to these inherent
variations, it is not possible to fully adopt a methodology that is found suitable
for all. There are enormous complexities in ISL. Contrary to ASL, ISL
sentences follow Subject-Object-Verb pattern. For example, the relative
positioning of hand on face with respect to nose can convey ‘WOMAN’ or
‘THINK’ in ISL. Such complexities necessitate independent research in ISL.
Sign language recognition involves integration of different categories
of signs. The signs can be mainly categorized into three groups like static hand
gestures, dynamic gestures and facial expression. This research focuses on
these three different channels and work to identify the potential of different
computational methods to address some of the associated complexities with
each channel. These complexities include static gestures with resemblances,
static overlaid gestures, differential movement and directional changes in
dynamic gestures and facial expression changes.
Litta, A J; Dr.Sumam Mary,Idicula(Cochin University of Science And Technology, November , 2013)
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Abstract:
Thunderstorm is one of the most spectacular weather phenomena
in the atmosphere. Many parts over the Indian region experience
thunderstorms at higher frequency during pre-monsoon months (March-
May), when the atmosphere is highly unstable because of high
temperatures prevailing at lower levels. Most dominant feature of the
weather during the pre-monsoon season over the eastern Indo-Gangetic
plain and northeast India is the outburst of severe local convective
storms, commonly known as ‘Nor’wester’ or ‘Kalbaishakhi’. The severe
thunderstorms associated with thunder, squall line, lightning and hail
cause extensive losses in agriculture, damage to structure and also loss of
life. The casualty due to lightning associated with thunderstorms in this
region is the highest in the world. The highest numbers of aviation
hazards are reported during occurrence of these thunderstorms. In India,
72% of tornadoes are associated with this thunderstorm.
Description:
Department of Computer Science, Cochin University of Science and Technology
Suma, N; Dr.Rani,Joseph(Cochin University of Science And Technology, July , 1992)
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Abstract:
Attempts have been made to attain satisfactory
network structures in each of the phases of a rubber blend
by minimising the cure rate imbalance by employing methods
such as grafting of accelerators to the slow curing rubber,
chemically bonding the crosslinking agents to the rubber in
which it has lower solubility, functionalisation of the slow
curing rubber, masterbatching of the curing agents
to the slow curing rubber etc. Functionalisation of
the slow curing constituents of NR/IIR and NR/EIPDM blends
is tried using novel reagents as the first part of this
study. However, the crux of the present study is a more
direct approach to attaining a covulcanized state in NR/IIR
and NR/EPDM blends: Precuring the slow curing rubber (IIR
or EPDM) to a low level when it can still blend with NR and
then to ck) the final curing after blending with NR. TNM3
precuring is also likely to minimise the viscosity mismatch.
Since a low level of resmmal crosslink density is likely to
be present lJ1 reclaimed rubbers, blending heat resistant
reclaimed rubber such as butyl reclaim with NR may also have
the same effect of precuring IIR, and then blending with NR.
Hence use of IIR reclaim for developing blends with NR is
also proposed to be investigated in this study
Description:
Department of Polymer Science and Rubber Technology, Cochin University of Science and Technology
Rani, Joseph; Dr.Joseph,Francis D(Cochin University of Science and Technology, December , 1987)
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Abstract:
There are a large number of commercial examples and property advantages of immiscible elastomer blends.73 Blends of natural rubber (NR) and polybutadiene (BR) have shown various
advantages including heat stability, improved elasticity and abrasion resistance. Ethylene-propylene-diene-rubber (EPDM) blended with styrene-butadiene rubber (SBR) has shown improvements in ozone and chemical resistance with better compression set properties. Blends of EPDM and nitrile rubber (NBR) have been cited as a compromise for obtaining moderate oil and ozone resistance with improved low temperature properties. Neoprene (CR)/BR blends offer improved low temperature properties and abrasion resistance with better processing characteristics etc. However, in many of the commercial two-phase elastomer blends, segregation of the crosslinking agents, carbon black or antioxidants preferentially into one phase
can result in failure to attain optimum properties. Soluble and insoluble compounding ingredients are found to be preferentially concentrated in one phase. The balance of optimum curing of both phases therefore presents a difficult problem. It has been the aim of this study to improve the
performance of commercially important elastomer blends such as natural rubber (NR)/styrene-butadiene rubber (SBR) and natural rubber/polybutadiene rubber (BR) by industrially viable procedures
Description:
Department Of Polymer Science And Rubber technology
Sindhu, M S; Dr.Kannan, B(Cochin University of Science And Technology, July 23, 2013)
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Abstract:
In the current study, epidemiology study is done by means of
literature survey in groups identified to be at higher potential for DDIs as
well as in other cases to explore patterns of DDIs and the factors affecting
them. The structure of the FDA Adverse Event Reporting System (FAERS)
database is studied and analyzed in detail to identify issues and challenges
in data mining the drug-drug interactions. The necessary pre-processing
algorithms are developed based on the analysis and the Apriori algorithm is
modified to suit the process. Finally, the modules are integrated into a tool to identify DDIs. The results are compared using standard drug interaction
database for validation. 31% of the associations obtained were identified to
be new and the match with existing interactions was 69%. This match
clearly indicates the validity of the methodology and its applicability to
similar databases. Formulation of the results using the generic names
expanded the relevance of the results to a global scale. The global
applicability helps the health care professionals worldwide to observe
caution during various stages of drug administration thus considerably
enhancing pharmacovigilance
Description:
Department of Computer Applications, Cochin
University of Science and Technology
Varghese, Paul; Dr.Poulose Jacob, K(Cochin University of Science & Technology, April , 2003)
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Abstract:
The present research problem is to study the existing encryption
methods and to develop a new technique which is performance wise
superior to other existing techniques and at the same time can be very
well incorporated in the communication channels of Fault Tolerant
Hard Real time systems along with existing Error Checking / Error
Correcting codes, so that the intention of eaves dropping can be
defeated. There are many encryption methods available now. Each
method has got it's own merits and demerits. Similarly, many crypt
analysis techniques which adversaries use are also available.
Description:
Department of Computer Science, Cochin University of Science and
Technology
Sumam, Mary Idicula; Poulose Jacob,K(Cochin University of Science and Technology, 1999)
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Abstract:
This work is aimed at building an adaptable frame-based system for processing Dravidian languages. There are about 17 languages in this family and they are spoken by the people of South India.Karaka relations are one of the most important features of Indian languages. They are the semabtuco-syntactic relations between verbs and other related constituents in a sentence. The karaka relations and surface case endings are analyzed for meaning extraction. This approach is comparable with the borad class of case based grammars.The efficiency of this approach is put into test in two applications. One is machine translation and the other is a natural language interface (NLI) for information retrieval from databases. The system mainly consists of a morphological analyzer, local word grouper, a parser for the source language and a sentence generator for the target language. This work make contributios like, it gives an elegant account of the relation between vibhakthi and karaka roles in Dravidian languages. This mapping is elegant and compact. The same basic thing also explains simple and complex sentence in these languages. This suggests that the solution is not just ad hoc but has a deeper underlying unity. This methodology could be extended to other free word order languages. Since the frame designed for meaning representation is general, they are adaptable to other languages coming in this group and to other applications.
Bindu, M S; Dr.Sumam Mary,Idicula(Cochin University Of Science And Technology, 2012)
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Abstract:
This is a Named Entity Based Question Answering System for Malayalam
Language. Although a vast amount of information is available today in digital
form, no effective information access mechanism exists to provide humans with
convenient information access. Information Retrieval and Question Answering
systems are the two mechanisms available now for information access.
Information systems typically return a long list of documents in response to a
user’s query which are to be skimmed by the user to determine whether they
contain an answer. But a Question Answering System allows the user to state
his/her information need as a natural language question and receives most
appropriate answer in a word or a sentence or a paragraph.
This system is based on Named Entity Tagging and Question Classification.
Document tagging extracts useful information from the documents which will be used
in finding the answer to the question. Question Classification extracts useful
information from the question to determine the type of the question and the way in
which the question is to be answered. Various Machine Learning methods are used to
tag the documents. Rule-Based Approach is used for Question Classification.
Malayalam belongs to the Dravidian family of languages and is one of the
four major languages of this family. It is one of the 22 Scheduled Languages of
India with official language status in the state of Kerala. It is spoken by 40 million
people. Malayalam is a morphologically rich agglutinative language and relatively
of free word order. Also Malayalam has a productive morphology that allows the
creation of complex words which are often highly ambiguous.
Document tagging tools such as Parts-of-Speech Tagger, Phrase Chunker,
Named Entity Tagger, and Compound Word Splitter are developed as a part of
this research work. No such tools were available for Malayalam language. Finite
State Transducer, High Order Conditional Random Field, Artificial Immunity System Principles, and Support Vector Machines are the techniques used for the
design of these document preprocessing tools.
This research work describes how the Named Entity is used to represent
the documents. Single sentence questions are used to test the system. Overall
Precision and Recall obtained are 88.5% and 85.9% respectively. This work can be
extended in several directions. The coverage of non-factoid questions can be
increased and also it can be extended to include open domain applications.
Reference Resolution and Word Sense Disambiguation techniques are suggested as
the future enhancements
Description:
Dept. Of Computer Science
Cochin University Of Science And Technology