Abstract: Tamil handwritten document is taken as a key source of data to identify the writer. Tamil is a classical language which has 247 characters include compound characters, consonants, vowels and special character. Most characters of Tamil are multifaceted in nature. Handwriting is a unique feature of an individual. Writer may change their handwritings according to their frame of mind and this place a risky challenge in identifying the writer. A new discriminative model with pooled features of handwriting is proposed and implemented using support vector machine. It has been reported on 100% of prediction accuracy by RBF and polynomial kernel based classification model.
Abstract: The application of cold Radio-Frequency (RF) plasma
in the conservation of cultural heritage became important in the last
decades due to the positive results obtained in decontamination
treatments. This paper presents an equipment especially designed for cold RF
plasma application on paper documents, developed within a research
project. The equipment consists in two modules: the first one is
designed for decontamination and cleaning treatments of any type of
paper supports, while the second one can be used for coating friable
papers with adequate polymers, for protection purposes. All these
operations are carried out in cold radio-frequency plasma, working in
gaseous nitrogen, at low pressure. In order to optimize the equipment parameters ancient paper
samples infested with microorganisms have been treated in nitrogen
plasma and the decontamination effects, as well as changes in surface
properties (color, pH) were assessed. The microbiological analysis
revealed complete decontamination at 6 minutes treatment duration;
only minor modifications of the surface pH were found and the
colorimetric analysis showed a slight yellowing of the support.
Abstract: Web mining is to discover and extract useful
Information. Different users may have different search goals when
they search by giving queries and submitting it to a search engine.
The inference and analysis of user search goals can be very useful for
providing an experience result for a user search query. In this project,
we propose a novel approach to infer user search goals by analyzing
search web logs. First, we propose a novel approach to infer user
search goals by analyzing search engine query logs, the feedback
sessions are constructed from user click-through logs and it
efficiently reflect the information needed for users. Second we
propose a preprocessing technique to clean the unnecessary data’s
from web log file (feedback session). Third we propose a technique
to generate pseudo-documents to representation of feedback sessions
for clustering. Finally we implement k-medoids clustering algorithm
to discover different user search goals and to provide a more optimal
result for a search query based on feedback sessions for the user.
Abstract: Numerous investigations suggest that Mesenchymal
Stem Cells (MSCs) in general represent a valuable tool for therapy of
symptoms related to chronic inflammatory diseases. Blue Horizon
Stem Cell Therapy Program is a leading provider of adult and
children’s stem cell therapies. Uniquely we have safely and
efficiently treated more than 600 patients with documenting each
procedure. The purpose of our study is primarily to monitor the
immune response in order to validate the safety of intravenous
infusion of human umbilical cord blood derived MSCs (UC-MSCs),
and secondly, to evaluate effects on biomarkers associated with
chronic inflammation. Nine patients were treated for conditions
associated with chronic inflammation and for the purpose of antiaging.
They have been given one intravenous infusion of UCMSCs.
Our study of blood test markers of 9 patients with chronic
inflammation before and within three months after MSCs treatment
demonstrates that there is no significant changes and MSCs treatment
was safe for the patients. Analysis of different indicators of chronic
inflammation and aging included in initial, 24-hours, two weeks and
three months protocols showed that stem cell treatment was safe for
the patients; there were no adverse reactions. Moreover data from
follow up protocols demonstrates significant improvement in energy
level, hair, nails growth and skin conditions. Intravenously
administered UC-MSCs were safe and effective in the improvement
of symptoms related to chronic inflammation. Further close
monitoring and inclusion of more patients are necessary to fully
characterize the advantages of UC-MSCs application in treatment of
symptoms related to chronic inflammation.
Abstract: This research paper presents the current practices of
teacher professional development, perceived as beneficial by teachers
themselves, in a private secondary school in Brunei Darussalam. This
is part of the findings of a larger qualitative study on teacher
empowerment, using ethnographic methods for data collection, i.e.
participant observation, interviews and document analysis. The field
work was carried out over a period of six months in 2013. An
analysis of the field data revealed multiple pathways of teacher
professional development existing in the school. The results indicate
that school leaders, the teacher community in the school, students,
and the teachers themselves were the agents in a school that
facilitated teacher empowerment. Besides contributing to the
knowledge base on teacher professional development, the results of
this study provide directions for educational policy makers in their
efforts to enhance professional development in secondary schools of
similar characteristics. For school leaders and the teacher community,
these findings offer guidelines for maximizing the opportunities for
these professional development practices, by strengthening
collegiality and by using the existing structures optimally for the
benefit of all concerned.
Abstract: Based on the hypothesis that disaster risk is
constructed socially and historically, this article shows the
importance of keeping alive the historical memory of disaster by
means of architectural and urban heritage conservation. This is
illustrated with three examples of Latin American World Heritage
cities, where disasters like floods and earthquakes have shaped urban
form. Therefore, the study of urban form or "Urban Morphology" is
proposed as a tool to understand and analyze urban transformations
with the documentation of the occurrence of disasters. Lessons
learned from such cities may be useful to reduce disasters risk in
contemporary built environments.
Abstract: The literature on language teaching and second
language acquisition has been largely driven by monolingual
ideology with a common assumption that a second language (L2) is
best taught and learned in the L2 only. The current study challenges
this assumption by reporting learners' positive perceptions of tertiary
level teachers' code switching practices in Vietnam. The findings of
this study contribute to our understanding of code switching practices
in language classrooms from a learners' perspective.
Data were collected from student participants who were working
towards a Bachelor degree in English within the English for Business
Communication stream through the use of focus group interviews.
The literature has documented that this method of interviewing has a
number of distinct advantages over individual student interviews. For
instance, group interactions generated by focus groups create a more
natural environment than that of an individual interview because they
include a range of communicative processes in which each individual
may influence or be influenced by others - as they are in their real
life. The process of interaction provides the opportunity to obtain the
meanings and answers to a problem that are "socially constructed
rather than individually created" leading to the capture of real-life
data. The distinct feature of group interaction offered by this
technique makes it a powerful means of obtaining deeper and richer
data than those from individual interviews. The data generated
through this study were analysed using a constant comparative
approach. Overall, the students expressed positive views of this
practice indicating that it is a useful teaching strategy. Teacher code
switching was seen as a learning resource and a source supporting
language output. This practice was perceived to promote student
comprehension and to aid the learning of content and target language
knowledge. This practice was also believed to scaffold the students'
language production in different contexts. However, the students
indicated their preference for teacher code switching to be
constrained, as extensive use was believed to negatively impact on
their L2 learning and trigger cognitive reliance on the L1 for L2
learning. The students also perceived that when the L1 was used to a
great extent, their ability to develop as autonomous learners was
negatively impacted.
This study found that teacher code switching was supported in
certain contexts by learners, thus suggesting that there is a need for
the widespread assumption about the monolingual teaching approach
to be re-considered.
Abstract: In this paper we propose a computer-aided solution
with Genetic Algorithms in order to reduce the drafting of reports:
FMEA analysis and Control Plan required in the manufacture of the
product launch and improved knowledge development teams for
future projects. The solution allows to the design team to introduce
data entry required to FMEA. The actual analysis is performed using
Genetic Algorithms to find optimum between RPN risk factor and
cost of production. A feature of Genetic Algorithms is that they are
used as a means of finding solutions for multi criteria optimization
problems. In our case, along with three specific FMEA risk factors is
considered and reduce production cost. Analysis tool will generate
final reports for all FMEA processes. The data obtained in FMEA
reports are automatically integrated with other entered parameters in
Control Plan. Implementation of the solution is in the form of an
application running in an intranet on two servers: one containing
analysis and plan generation engine and the other containing the
database where the initial parameters and results are stored. The
results can then be used as starting solutions in the synthesis of other
projects. The solution was applied to welding processes, laser cutting
and bending to manufacture chassis for buses. Advantages of the
solution are efficient elaboration of documents in the current project
by automatically generating reports FMEA and Control Plan using
multiple criteria optimization of production and build a solid
knowledge base for future projects. The solution which we propose is
a cheap alternative to other solutions on the market using Open
Source tools in implementation.
Abstract: The system for analyzing and eliciting public
grievances serves its main purpose to receive and process all sorts of
complaints from the public and respond to users. Due to the more
number of complaint data becomes big data which is difficult to store
and process. The proposed system uses HDFS to store the big data
and uses MapReduce to process the big data. The concept of cache
was applied in the system to provide immediate response and timely
action using big data analytics. Cache enabled big data increases the
response time of the system. The unstructured data provided by the
users are efficiently handled through map reduce algorithm. The
processing of complaints takes place in the order of the hierarchy of
the authority. The drawbacks of the traditional database system used
in the existing system are set forth by our system by using Cache
enabled Hadoop Distributed File System. MapReduce framework
codes have the possible to leak the sensitive data through
computation process. We propose a system that add noise to the
output of the reduce phase to avoid signaling the presence of
sensitive data. If the complaints are not processed in the ample time,
then automatically it is forwarded to the higher authority. Hence it
ensures assurance in processing. A copy of the filed complaint is sent
as a digitally signed PDF document to the user mail id which serves
as a proof. The system report serves to be an essential data while
making important decisions based on legislation.
Abstract: The US Consumer Price Indices (CPIs) measures
hundreds of items in the US economy. Many social programs
and government benefits index to the CPIs. The purpose of
this project is to modernize an existing process. This paper will
show the development of a small, visual, software product that
documents the Economic Price Adjustment (EPA) for longterm
contracts. The existing workbook does not provide the
flexibility to calculate EPAs where the base-month and the
option-month are different. Nor does the workbook provide
automated error checking. The small, visual, software product
provides the additional flexibility and error checking. This
paper presents the feedback to project.
Abstract: The growth in the volume of text data such as books
and articles in libraries for centuries has imposed to establish
effective mechanisms to locate them. Early techniques such as
abstraction, indexing and the use of classification categories have
marked the birth of a new field of research called "Information
Retrieval". Information Retrieval (IR) can be defined as the task of
defining models and systems whose purpose is to facilitate access to
a set of documents in electronic form (corpus) to allow a user to find
the relevant ones for him, that is to say, the contents which matches
with the information needs of the user. This paper presents a new
semantic indexing approach of a documentary corpus. The indexing
process starts first by a term weighting phase to determine the
importance of these terms in the documents. Then the use of a
thesaurus like Wordnet allows moving to the conceptual level.
Each candidate concept is evaluated by determining its level of
representation of the document, that is to say, the importance of the
concept in relation to other concepts of the document. Finally, the
semantic index is constructed by attaching to each concept of the
ontology, the documents of the corpus in which these concepts are
found.
Abstract: The paper presents a new method for efficient
innovation process management. Even though the innovation
management methods, tools and knowledge are well established and
documented in literature, most of the companies still do not manage it
efficiently. Especially in SMEs the front end of innovation - problem
identification, idea creation and selection - is often not optimally
performed. Our eMIPS methodology represents a sort of "umbrella
methodology" - a well-defined set of procedures, which can be
dynamically adapted to the concrete case in a company. In daily
practice, various methods (e.g. for problem identification and idea
creation) can be applied, depending on the company's needs. It is
based on the proactive involvement of the company's employees
supported by the appropriate methodology and external experts. The
presented phases are performed via a mixture of face-to-face
activities (workshops) and online (eLearning) activities taking place
in eLearning Moodle environment and using other e-communication
channels. One part of the outcomes is an identified set of
opportunities and concrete solutions ready for implementation. The
other also very important result is connected to innovation
competences for the participating employees related with concrete
tools and methods for idea management. In addition, the employees
get a strong experience for dynamic, efficient and solution oriented
managing of the invention process. The eMIPS also represents a way
of establishing or improving the innovation culture in the
organization. The first results in a pilot company showed excellent
results regarding the motivation of participants and also as to the
results achieved.
Abstract: Taking into account the significance of measuring the
daily use of the study space in the libraries in order to develop and
reorganize the space for enhancing the efficiency of the study space,
the current study aimed to apply GIS in analyzing the study halls of
the Central Library and Document Center of Tehran University in
order to determine how study desks and chairs were used by the
students. The study used a combination of survey-descriptive and
system design method. In order to gather the required data, surveydescriptive
method was used. For implementing and entering data
into ArcGIS and analyzing the data and displaying the results on the
maps of the study halls of the library, system design method was
utilized. The design of the spatial database of the use of the study
halls was measured through the extent of occupancy of the space by
the library users and the maps of the study halls of the central library
of Tehran University as the case study. The results showed that
Abooreyhan hall had the highest rate of occupancy of the desks and
chairs compared to the other halls. The Hall of Science and
Technology, with an average occupancy rate of 0.39 for the tables
represented the lowest number of users and Rashid al-Dins hall, and
Science and Technology hall with an average occupancy rate (0.40)
had the lowest number of users for seats. In this study, the
comparison of the space occupied at different periods in the morning,
evenings, afternoons, and several months was performed through
GIS. This system analyzed the space relationships effectively and
efficiently. The output of this study would be used by administrators
and librarians to determine the exact extent of use of the equipment
of the study halls and librarians can use the output map to design the
space more efficiently at the library.
Abstract: Traditional document representation for classification
follows Bag of Words (BoW) approach to represent the term weights.
The conventional method uses the Vector Space Model (VSM) to
exploit the statistical information of terms in the documents and they
fail to address the semantic information as well as order of the terms
present in the documents. Although, the phrase based approach
follows the order of the terms present in the documents rather than
semantics behind the word. Therefore, a semantic concept based
approach is used in this paper for enhancing the semantics by
incorporating the ontology information. In this paper a novel method
is proposed to forecast the intraday stock market price directional
movement based on the sentiments from Twitter and money control
news articles. The stock market forecasting is a very difficult and
highly complicated task because it is affected by many factors such
as economic conditions, political events and investor’s sentiment etc.
The stock market series are generally dynamic, nonparametric, noisy
and chaotic by nature. The sentiment analysis along with wisdom of
crowds can automatically compute the collective intelligence of
future performance in many areas like stock market, box office sales
and election outcomes. The proposed method utilizes collective
sentiments for stock market to predict the stock price directional
movements. The collective sentiments in the above social media have
powerful prediction on the stock price directional movements as
up/down by using Granger Causality test.
Abstract: Within the framework of this research, the regulatory
documents, which are in force in relation to this industry, were
analyzed. The main attention is turned to their modernization and
necessity of their compliance with European standards.
It is a current issue to direct the efforts of state policy on support
of business by implementing infrastructural projects, as well as by
development of human resources, which may be possible by
supporting the relevant higher and vocational studying-educational
programs.
Abstract: This article focuses on the issue of airport emergency
plans, which are documents describing reactions to events with
impact on aviation safety or aviation security. The article specifically
focuses on the use and creation of emergency plans, where could be
found a number of disagreements between different stakeholders, for
which the airport emergency plan applies. Those are the friction
surfaces of interfaces, which is necessary to identify and ensure them
smooth process to avoid dangerous situations or delay.
Abstract: Despite the highly touted benefits, emerging
technologies have unleashed pervasive concerns regarding unintended
and unforeseen social impacts. Thus, those wishing to create safe and
socially acceptable products need to identify such side effects and
mitigate them prior to the market proliferation. Various methodologies
in the field of technology assessment (TA), namely Delphi, impact
assessment, and scenario planning, have been widely incorporated in
such a circumstance. However, literatures face a major limitation in
terms of sole reliance on participatory workshop activities. They
unfortunately missed out the availability of a massive untapped data
source of futuristic information flooding through the Internet. This
research thus seeks to gain insights into utilization of futuristic data,
future-oriented documents from the Internet, as a supplementary
method to generate social impact scenarios whilst capturing
perspectives of experts from a wide variety of disciplines. To this end,
network analysis is conducted based on the social keywords extracted
from the futuristic documents by text mining, which is then used as a
guide to produce a comprehensive set of detailed scenarios. Our
proposed approach facilitates harmonized depictions of possible
hazardous consequences of emerging technologies and thereby makes
decision makers more aware of, and responsive to, broad qualitative
uncertainties.
Abstract: The traditional Turkish houses becoming unusable are
a result of the deterioration of the balanced interaction between users
and house (human and house) continuing during the history.
Especially depending upon the change in social structure, the houses
becoming neglected do not meet the desires of the users and do not
have the meaning but the shelter are becoming unusable and are
being destroyed.
A conservation policy should be developed and renovations should
be made in order to pass the traditional houses carrying the quality of
a cultural and historical document presenting the social structure, the
lifestyle and the traditions of its own age to the next generations and
to keep them alive.
Abstract: Learning Management System (LMS) is the system
which uses to manage the learning in order to grouping the content
and learning activity between the lecturer and learner including
online examination and evaluation. Nowadays, it is the borderless
learning era so the learning activities can be accessed from
everywhere in the world and also anytime via the information
technology and media. The learner can easily access to the
knowledge so the different in time and distance is not a constraint for
learning anymore.
The learning pattern which was used in this research is the
integration of the in-class learning and online learning via internet
and will be able to monitor the progress by the Learning management
system which will create the fast response and accessible learning
process via the social media. In order to increase the capability and
freedom of the learner, the system can show the current and history
of the learning document, video conference and also has the chat
room for the learner and lecturer to interact to each other.
So the objectives of the “The Design and Applied of Learning
Management System via Social Media on Internet: Case Study of
Operating System for Business Subject” are to expand the
opportunity of learning and to increase the efficiency of learning as
well as increase the communication channel between lecturer and
student. The data of this research was collect from 30 users of the
system which are students who enroll in the subject. And the result of
the research is in the “Very Good” which is conformed to the
hypothesis.
Abstract: While millings materials from old pavement surface
can be an important component of cost effective maintenance
operation, their use in maintenance projects are not uniform and well
documented. This study documents the different maintenance
practices followed by four transportation districts of New Mexico
Department of Transportation (NMDOT) in an attempt to find
whether millings are being used in maintenance projects by those
districts. Based on existing literature, a questionnaire was developed
related to six common maintenance practices. NMDOT district
personal were interviewed face to face to discuss and get answers to
that questionnaire. It revealed that NMDOT districts mainly use chip
seal and patching. Other maintenance procedures such as sand seal,
scrub seal, slurry seal, and thin overlay have limited use. Two out of
four participating districts do not have any documents on chip
sealing; rather they employ the experiences of the chip seal crew. All
districts use polymer modified high float emulsion (HFE100P) for
chip seal with an application rate ranging from 0.4 to 0.56 gallons per
square yard. Chip application rate varies from 15 to 40 lb/ square
yard. State wide, the thickness of chip seal varies from 3/8'' to 1'' and
life varies from 3 to 10 years. NMDOT districts mainly use three type
of patching: pothole, dig-out and blade patch. Pothole patches are
used for small potholes and during emergency, dig-out patches are
used for all type of potholes sometimes after pothole patching, and
blade patch is used when a significant portion of the pavement is
damaged. Pothole patches last as low as three days whereas, blade
patch lasts as long as 3 years. It was observed that all participating
districts use millings in maintenance projects.