Abstract: This paper discusses the potential benefits of an
interactive multimedia information representation in enhancing
students’ critical thinking aligned with history reasoning in learning
history amongst Secondary School students in Malaysia. Two modes
of multimedia information representation were implemented;
chronologic and thematic information representations. A qualitative
study of an unstructured interview was conducted among two history
teachers, one history education lecturer, two i-think experts, and five
students from Form Four secondary school. The interview was to
elicit their opinions on the implementation of thinking maps and
interactive multimedia information representation in history learning.
The key elements of the interactive multimedia (e.g. multiple media,
user control, interactivity and use of timelines and concept maps)
were then considered to improve the learning process. Findings of the
preliminary investigation reveal that the interactive multimedia
information representations have the potential benefits to be
implemented as an instructional resource in enhancing students’
higher order thinking skills (HOTs). This paper concludes by giving
suggestions for future work.
Abstract: The handwriting is a physical demonstration of a
complex cognitive process learnt by man since his childhood. People
with disabilities or suffering from various neurological diseases are
facing so many difficulties resulting from problems located at the
muscle stimuli (EMG) or signals from the brain (EEG) and which
arise at the stage of writing. The handwriting velocity of the same
writer or different writers varies according to different criteria: age,
attitude, mood, writing surface, etc. Therefore, it is interesting to
reconstruct an experimental basis records taking, as primary
reference, the writing speed for different writers which would allow
studying the global system during handwriting process. This paper
deals with a new approach of the handwriting system modeling based
on the velocity criterion through the concepts of artificial neural
networks, precisely the Radial Basis Functions (RBF) neural
networks. The obtained simulation results show a satisfactory
agreement between responses of the developed neural model and the
experimental data for various letters and forms then the efficiency of
the proposed approaches.
Abstract: This paper is drawn from a wider study of the
management of gender, age and disability diversity in the banking
sector in the Kingdom of Saudi Arabia (KSA), which aims to develop
a framework for diversity management (DM) in this sector. The
paper focuses on the management of disability diversity. The purpose
of the paper is to assist in understanding disability DM in the banking
sector in KSA and to make suggestions for its enhancement. Hence, it
contributes to filling a research gap, as there is a dearth of literature
on disability DM, in KSA in general, and in the banking sector
specifically.
Discrimination against people with disabilities is a social issue that
has not been entirely overcome in any society. However, in KSA,
Islam informs almost every aspect of daily life including work, and
Islam is against discrimination. Hence, in KSA, there are regulations
to accommodate people with disabilities; however, employers are still
free not to hire job applicants with disabilities specifically because of
their condition. Indeed, disabled people are almost entirely absent
from the labour market.
There are 12 Saudi-owned or part-Saudi-owned banks in KSA and
two managers from each of these were interviewed, making a total of
24. The interviews aimed to investigate empirically the understanding
of managers in the banking sector in KSA of diversity management,
including disability DM, in the banking sector. The interview data
were analysed using thematic analysis. Two interviewees stated that
banks used the employment of people with disabilities to enhance
their corporate image, while five expressed the opinion that disabled
employees could contribute to the bank provided they did not have to
deal with customers face-to-face. Nine of the interviewees perceived
that disabled employees could be of value to the bank for their own
sake, not only in ‘behind the scenes’ roles. Another two interviewees
mentioned that employing disabled people could be part of the bank’s
community service programme and one thought it would be part of
the bank’s Saudisation efforts. The remaining five interviewees did
not know how disabled people could contribute to the bank.
The findings show that disability DM in the banking sector in
KSA is a relatively new concept, and is not yet well understood. In
the light of the findings, in order to achieve the purpose of the paper,
the following suggestions were made for the enhancement of
disability DM in the banking sector in KSA. A change in attitudes
towards disabled people is necessary. Such a change in the workplace
can only be achieved if a top-down approach is taken to the
integration of disabled people. Hence, it is suggested that
management and employees follow a course in disability awareness.
Further, a diversity officer in the HR department could enhance the
integration of disabled people into the banking workforce. It is also
suggested that greater government support is required through closely
monitored and enforced anti-discrimination legislation. Moreover,
flexible working arrangements such as part-time work would
facilitate the employment of disabled people and benefit other groups
of employees.
Abstract: The substantial similarity of fatigue mechanism in a
new test rig for rolling contact fatigue (RCF) has been investigated. A
new reduced-scale test rig is designed to perform controlled RCF
tests in wheel-rail materials. The fatigue mechanism of the rig is
evaluated in this study using a combined finite element-fatigue
prediction approach. The influences of loading conditions on fatigue
crack initiation have been studied. Furthermore, the effects of some
artificial defects (squat-shape) on fatigue lives are examined. To
simulate the vehicle-track interaction by means of the test rig, a threedimensional
finite element (FE) model is built up. The nonlinear
material behaviour of the rail steel is modelled in the contact
interface. The results of FE simulations are combined with the critical
plane concept to determine the material points with the greatest
possibility of fatigue failure. Based on the stress-strain responses, by
employing of previously postulated criteria for fatigue crack initiation
(plastic shakedown and ratchetting), fatigue life analysis is carried
out. The results are reported for various loading conditions and
different defect sizes. Afterward, the cyclic mechanism of the test rig
is evaluated from the operational viewpoint. The results of fatigue
life predictions are compared with the expected number of cycles of
the test rig by its cyclic nature. Finally, the estimative duration of the
experiments until fatigue crack initiation is roughly determined.
Abstract: Since the emergence of e-Commerce, the world of
business has witnessed a radical shift in the way business activities
are conducted. However, the emergence of m-Commerce has further
pushed the boundaries of virtual commerce revolution. As a result,
there seems to be a growing blur in the distinction between e-
Commerce and m-Commerce. In addition, existing definitions for
both forms of commerce highlight characteristics (e.g. type of device
and activity conducted) that may be applicable to both concepts. The
aim of this paper is to identify the characteristics that help define and
delineate between e- and m- Commerce. The paper concludes that
characteristics of mobility, ubiquity and immediacy provide a clearer
and simpler template to distinguish between e-Commerce and m-
Commerce.
Abstract: Cloud service brokering is a new service paradigm that
provides interoperability and portability of application across multiple
Cloud providers. In this paper, we designed Cloud service brokerage
system, anyBroker, supporting integrated service provisioning and
SLA based service lifecycle management. For the system design, we
introduce the system concept and whole architecture, details of main
components and use cases of primary operations in the system. These
features ease the Cloud service provider and customer’s concern and
support new Cloud service open market to increase Cloud service
profit and prompt Cloud service echo system in Cloud computing
related area.
Abstract: This study discovers a novel framework of individual
level technology adoption known as I-P (Individual- Privacy) towards
health information application in Smart National Identity Card. Many
countries introduced smart national identity card (SNIC) with various
applications such as health information application embedded inside
it. However, the degree to which citizens accept and use some of the
embedded applications in smart national identity remains unknown to
many governments and application providers as well. Moreover, the
factors of trust, perceived risk, Privacy concern and perceived
credibility need to be incorporated into more comprehensive models
such as extended Unified Theory of Acceptance and Use of
Technology known as UTAUT2. UTAUT2 is a mainly widespread
and leading theory up to now. This research identifies factors
affecting the citizens’ behavioural intention to use health information
application embedded in SNIC and extends better understanding on
the relevant factors that the government and the application providers
would need to consider in predicting citizens’ new technology
acceptance in the future. We propose a conceptual framework by
combining the UTAUT2 and Privacy Calculus Model constructs and
also adding perceived credibility as a new variable. The proposed
framework may provide assistance to any government planning,
decision, and policy makers involving e-government projects.
Empirical study may be conducted in the future to provide proof and
empirically validate this I-P framework.
Abstract: Recently, an increasing number of researchers have
been focusing on working out realistic solutions to sustainability
problems. As sustainability issues gain higher importance for
organisations, the management of such decisions becomes critical.
Knowledge representation is a fundamental issue of complex
knowledge based systems. Many types of sustainability problems
would benefit from models based on experts’ knowledge. Cognitive
maps have been used for analyzing and aiding decision making. A
cognitive map can be made of almost any system or problem. A
fuzzy cognitive map (FCM) can successfully represent knowledge
and human experience, introducing concepts to represent the essential
elements and the cause and effect relationships among the concepts to
model the behaviour of any system. Integrated waste management
systems (IWMS) are complex systems that can be decomposed to
non-related and related subsystems and elements, where many factors
have to be taken into consideration that may be complementary,
contradictory, and competitive; these factors influence each other and
determine the overall decision process of the system. The goal of the
present paper is to construct an efficient IWMS which considers
various factors. The authors’ intention is to propose an expert based
system design approach for implementing expert decision support in
the area of IWMSs and introduces an appropriate methodology for
the development and analysis of group FCM. A framework for such a
methodology consisting of the development and application phases is
presented.
Abstract: A noble low NOx combustion technology, based on
partial oxidation combustion concept in a fuel rich combustion zone, is
successfully applied in this research. The burner is designed such that
a portion of fuel is heated and pre-vaporized in the furnace then
injected into a fuel rich combustion zone so that a partial oxidation
reaction occurs. The effects of equivalence ratio, thermal load, and
fuel distribution ratio on the emissions of NOx and CO are
experimentally investigated. This newly developed combustion
technology showed very low NOx emission level, about 12 ppm, when
light oil is used as a fuel.
Abstract: The North-eastern part of India, which receives
heavier rainfall than other parts of the subcontinent, is of great
concern now-a-days with regard to climate change. High intensity
rainfall for short duration and longer dry spell, occurring due to
impact of climate change, affects river morphology too. In the present
study, an attempt is made to delineate the North-eastern region of
India into some homogeneous clusters based on the Fuzzy Clustering
concept and to compare the resulting clusters obtained by using
conventional methods and nonconventional methods of clustering.
The concept of clustering is adapted in view of the fact that, impact
of climate change can be studied in a homogeneous region without
much variation, which can be helpful in studies related to water
resources planning and management. 10 IMD (Indian Meteorological
Department) stations, situated in various regions of the North-east,
have been selected for making the clusters. The results of the Fuzzy
C-Means (FCM) analysis show different clustering patterns for
different conditions. From the analysis and comparison it can be
concluded that nonconventional method of using GCM data is
somehow giving better results than the others. However, further
analysis can be done by taking daily data instead of monthly means to
reduce the effect of standardization.
Abstract: Human movement in the real world provides
important information for developing human behaviour models and
simulations. However, it is difficult to assess ‘real’ human behaviour
since there is no established method available. As part of the AUNTSUE
(Accessibility and User Needs in Transport – Sustainable Urban
Environments) project, this research aimed to propose a method to
assess human movement and behaviour in crowded areas. The
method is based on the three major steps of video recording,
conceptual behavior modelling and video analysis. The focus is on
individual human movement and behaviour in normal situations
(panic situations are not considered) and the interactions between
individuals in localized areas. Emphasis is placed on gaining
knowledge of characteristics of human movement and behaviour in
the real world that can be modelled in the virtual environment.
Abstract: Identification and selection of appropriate product and
manufacturing technologies are key factors for competitiveness and
market success of technology-based companies. Therefore, many
companies perform technology intelligence (TI) activities to ensure
the identification of evolving technologies at the right time.
Technology monitoring is one of the three base activities of TI,
besides scanning and scouting.
As the technological progress is accelerating, more and more
technologies are being developed. Against the background of limited
resources it is therefore necessary to focus TI activities. In this paper
we propose a concept for defining appropriate search fields for
technology monitoring. This limitation of search space leads to more
concentrated monitoring activities. The concept will be introduced
and demonstrated through an anonymized case study conducted
within an industry project at the Fraunhofer Institute for Production
Technology IPT.
The described concept provides a customized monitoring
approach, which is suitable for use in technology-oriented companies.
It is shown in this paper that the definition of search fields and search
tasks are suitable methods to define topics of interest and thus to
align monitoring activities. Current as well as planned product,
production and material technologies and existing skills, capabilities
and resources form the basis for derivation of relevant search areas.
To further improve the concept of technology monitoring the
proposed concept should be extended during future research e.g. by
the definition of relevant monitoring parameters.
Abstract: reliability-based methodology for the assessment
and evaluation of reinforced concrete (R/C) structural elements of
concrete structures is presented herein. The results of the reliability
analysis and assessment for R/C structural elements were verified by
the results obtained through deterministic methods. The outcomes of
the reliability-based analysis were compared against currently
adopted safety limits that are incorporated in the reliability indices
β’s, according to international standards and codes. The methodology
is based on probabilistic analysis using reliability concepts and
statistics of the main random variables that are relevant to the subject
matter, and for which they are to be used in the performance-function
equation(s) associated with the structural elements under study.
These methodology techniques can result in reliability index β, which
is commonly known as the reliability index or reliability measure
value that can be utilized to assess and evaluate the safety, human
risk, and functionality of the structural component. Also, these
methods can result in revised partial safety factor values for certain
target reliability indices that can be used for the purpose of
redesigning the R/C elements of the building and in which they could
assist in considering some other remedial actions to improve the
safety and functionality of the member.
Abstract: The effect of trucks on the level of service is
determined by considering passenger car equivalents (PCE) of trucks.
The current version of Highway Capacity Manual (HCM) uses a
single PCE value for all tucks combined. However, the composition
of truck traffic varies from location to location; therefore, a single
PCE value for all trucks may not correctly represent the impact of
truck traffic at specific locations. Consequently, present study
developed separate PCE values for single-unit and combination
trucks to replace the single value provided in the HCM on different
freeways. Site specific PCE values, were developed using concept of
spatial lagging headways (that is the distance between rear bumpers
of two vehicles in a traffic stream) measured from field traffic data.
The study used data from four locations on a single urban freeway
and three different rural freeways in Indiana. Three-stage-leastsquares
(3SLS) regression techniques were used to generate models
that predicted lagging headways for passenger cars, single unit trucks
(SUT), and combination trucks (CT). The estimated PCE values for
single-unit and combination truck for basic urban freeways (level
terrain) were: 1.35 and 1.60, respectively. For rural freeways the
estimated PCE values for single-unit and combination truck were:
1.30 and 1.45, respectively. As expected, traffic variables such as
vehicle flow rates and speed have significant impacts on vehicle
headways. Study results revealed that the use of separate PCE values
for different truck classes can have significant influence on the LOS
estimation.
Abstract: The article presents the concept of an electromagnetic
circuit generator with permanent magnets mounted on the surface
rotor core designed for single phase work. Computation field-circuit
model was shown. The spectrum of time course of voltages in the
idle work was presented. The cross section with graphically
presentation of magnetic induction in particular parts of
electromagnetic circuits was presented. Distribution of magnetic
induction at the rated load point for each phase was shown. The time
course of voltages and currents for each phases for rated power were
displayed. An analysis of laboratory results and measurement of load
characteristics of the generator was discussed. The work deals with
three electromagnetic circuits of generators with permanent magnet
where output voltage characteristics versus rated power were
expressed.
Abstract: The success of any retail business is predisposed by its
swift response and its knack in understanding the constraints and the
requirements of customers. In this paper a conceptual design model
of an automated customer-friendly supermarket has been proposed.
In this model a 10-sided, space benefited, regular polygon shaped
gravity shelves have been designed for goods storage and effective
customer-specific algorithms have been built-in for quick automatic
delivery of the randomly listed goods. The algorithm is developed
with two main objectives, viz., delivery time and priority. For
meeting these objectives the randomly listed items are reorganized
according to the critical-path of the robotic arm specific to the
identified shop and its layout and the items are categorized according
to the demand, shape, size, similarity and nature of the product for an
efficient pick-up, packing and delivery process. We conjectured that
the proposed automated supermarket model reduces business
operating costs with much customer satisfaction warranting a winwin
situation.
Abstract: In this work, we propose the application of Japanese
“Origami” art for a floating function of a small aerial vehicle such as a
hexarotor. A preliminary experiment was conducted using Origami
magic balls mounted under a hexarotor. This magic ball can expand
and shrink using an air pump during free flying. Using this interesting
and functional concept, it promises to reduce the resistance of wind as
well as reduce the energy consumption when the Origami balls are
deflated. This approach can be particularly useful in rescue emergency
situations. Furthermore, there are many unexpected reasons that may
cause the multi-rotor has to land on the surface of water due to
problems with the communication between the aircraft and the ground
station. In addition, a complementary experiment was designed to
prove that the hexarotor can fly maintaining the stability and also,
takes off and lands on the surface of water using air balloons.
Abstract: Access control is one of the most challenging issues
facing information security. Access control is defined as, the ability to
permit or deny access to a particular computational resource or digital
information by an unauthorized user or subject. The concept of usage
control (UCON) has been introduced as a unified approach to capture a
number of extensions for access control models and systems. In
UCON, an access decision is determined by three factors:
authorizations, obligations and conditions. Attribute mutability and
decision continuity are two distinct characteristics introduced by
UCON for the first time. An observation of UCON components
indicates that, the components are predefined and static. In this paper,
we propose a new and flexible model of usage control for the creation
and elimination of some of these components; for example new
objects, subjects, attributes and integrate these with the original
UCON model. We also propose a model for concurrent usage
scenarios in UCON.
Abstract: One of the major goals of Spoken Dialog Systems
(SDS) is to understand what the user utters.
In the SDS domain, the Spoken Language Understanding (SLU)
Module classifies user utterances by means of a pre-definite
conceptual knowledge. The SLU module is able to recognize only the
meaning previously included in its knowledge base. Due the vastity
of that knowledge, the information storing is a very expensive
process.
Updating and managing the knowledge base are time-consuming
and error-prone processes because of the rapidly growing number of
entities like proper nouns and domain-specific nouns. This paper
proposes a solution to the problem of Name Entity Recognition
(NER) applied to a SDS domain. The proposed solution attempts to
automatically recognize the meaning associated with an utterance by
using the PANKOW (Pattern based Annotation through Knowledge
On the Web) method at runtime.
The method being proposed extracts information from the Web to
increase the SLU knowledge module and reduces the development
effort. In particular, the Google Search Engine is used to extract
information from the Facebook social network.
Abstract: The purposes of this research were to study concepts
and strategies of human resource development in the automotive
manufacturers and to articulate the proposals against the government
about the human resource development for automotive industry. In
the present study, qualitative study was an in-depth interview in
which the qualitative data were collected from the executive or the
executive of human resource division from five automotive
companies - Toyota Motor (Thailand) Co., Ltd., Nissan Motor
(Thailand) Co., Ltd., Mitsubishi Motors (Thailand) Co., Ltd., Honda
Automobile (Thailand) Co., Ltd., and Suzuki Motor (Thailand) Co.,
Ltd. Qualitative data analysis was performed by using inter-coder
agreement technique. The research findings were as follows:
The external factors included the current conditions of the
automotive industry, government’s policy related to the automotive
industry, technology, labor market and human resource development
systems of the country. The internal factors included management,
productive management, organizational strategies, leadership,
organizational culture and philosophy of human resource
development. These factors were affected to the different concept of
human resources development -the traditional human resource
development and the strategies of human resource development. The
organization focuses on human resources as intellectual capital and
uses the strategies of human resource development in all
development processes. The strategies of human resource
development will enhance the ability of human resources in the
organization and the country.