Abstract: The objectives of this research were to study the
influencing factors that contributed to the success of e-collaborative
in e-commerce of B2C (Business to Customer) business in Bangkok,
Thailand. The influencing factors included organization, people,
information technology and the process of e-collaborative. A
questionnaire was used to collect data from 200 small e-commerce
businesses and the path analysis was utilized as the tool for data
analysis.
By using the path analysis, it was revealed that the factors
concerning with organization, people and information technology
played an influence on e-collaborative process and the success of ecollaborative,
whereas the process of e-collaborative factor
manipulated its success. The findings suggested that B2C ecommerce
business in Thailand should opt in improvement approach
in terms of managerial structure, leaderships, staff’s skills and
knowledge, and investment of information technology in order to
capacitate higher efficiency of e-collaborative process that would
result in profit and competitive advantage.
Abstract: ‘Steganalysis’ is one of the challenging and attractive interests for the researchers with the development of information hiding techniques. It is the procedure to detect the hidden information from the stego created by known steganographic algorithm. In this paper, a novel feature based image steganalysis technique is proposed. Various statistical moments have been used along with some similarity metric. The proposed steganalysis technique has been designed based on transformation in four wavelet domains, which include Haar, Daubechies, Symlets and Biorthogonal. Each domain is being subjected to various classifiers, namely K-nearest-neighbor, K* Classifier, Locally weighted learning, Naive Bayes classifier, Neural networks, Decision trees and Support vector machines. The experiments are performed on a large set of pictures which are available freely in image database. The system also predicts the different message length definitions.
Abstract: Second line antiretroviral therapy (ART) regimen is
used when patients fail their first line regimen. There are many
factors such as non-adherence, drug resistance as well as virological
and immunological failure that lead to second line highly active
antiretroviral therapy (HAART) regimen treatment failure. This study
was aimed at determining predictor factors to treatment failure with
second line HAART and analyzing median survival time.
An observational, retrospective study was conducted in Sungai
Buloh Hospital (HSB) to assess current status of HIV patients treated
with second line HAART regimen. Convenience sampling was used
and 104 patients were included based on the study’s inclusion and
exclusion criteria. Data was collected for six months i.e. from July
until December 2013. Data was then analysed using SPSS version 18.
Kaplan-Meier and Cox regression analyses were used to measure
median survival times and predictor factors for treatment failure.
The study population consisted mainly of male subjects, aged 30-
45 years, who were heterosexual, and had HIV infection for less than
6 years. The most common second line HAART regimen given was
lopinavir/ritonavir (LPV/r)-based combination. Kaplan-Meier
analysis showed that patients on LPV/r demonstrated longer median
survival times than patients on indinavir/ritonavir (IDV/r) based
combination (p
Abstract: We have studied a method to widen the spectrum
of optical pulses that pass through an InGaAsP waveguide for
application to broadband optical communication. In particular, we
have investigated the competitive effect between spectral broadening
arising from nonlinear refraction (optical Kerr effect) and shrinking
due to two photon absorption in the InGaAsP waveguide with
χ(3) nonlinearity. The shrunk spectrum recovers broadening by
the enhancement effect of the nonlinear refractive index near the
bandgap of InGaAsP with a bandgap wavelength of 1490 nm. The
broadened spectral width at around 1525 nm (196.7 THz) becomes
10.7 times wider than that at around 1560 nm (192.3 THz) without
the enhancement effect, where amplified optical pulses with a pulse
width of ∼ 2 ps and a peak power of 10 W propagate through a
1-cm-long InGaAsP waveguide with a cross-section of 4 (μm)2.
Abstract: A methodology is proposed for estimating the optical
attenuation and proportional depth variation of shallow inland water.
The process is demonstrated with EO-1 Hyperion hyperspectral and
IRS-P6 LISS-3 multispectral images of Kolkata city nearby area
centered around 22º33′ N 88º26′ E. The attenuation coefficient of
water was found to change with fine resolution of wavebands and in
presence of suspended organic matter in water.
Abstract: In remote sensing, shadow causes problems in many
applications such as change detection and classification. It is caused
by objects which are elevated, thus can directly affect the accuracy of
information. For these reasons, it is very important to detect shadows
particularly in urban high spatial resolution imagery which created a
significant problem. This paper focuses on automatic shadow
detection based on a new spectral index for multispectral imagery
known as Shadow Detection Index (SDI). The new spectral index
was tested on different areas of WorldView-2 images and the results
demonstrated that the new spectral index has a massive potential to
extract shadows with accuracy of 94% effectively and automatically.
Furthermore, the new shadow detection index improved road
extraction from 82% to 93%.
Abstract: We present our approach on using continuous delivery
pattern for release management. One of the key practices of agile and
lean teams is the continuous delivery of new features to stakeholders.
The main benefits of this approach lie in the ability to release new
applications rapidly which has real strategic impact on the
competitive advantage of an organization. Organizations that
successfully implement Continuous Delivery have the ability to
evolve rapidly to support innovation, provide stable and reliable
software in more efficient ways, decrease the amount of resources
need for maintenance, and lower the software delivery time and costs.
One of the objectives of this paper is to elaborate a case study where
IT division of Central Securities Depository Institution (MKK) of
Turkey apply Continuous Delivery pattern to improve release
management process.
Abstract: Artificial Neural Networks (ANN) trained using backpropagation
(BP) algorithm are commonly used for modeling
material behavior associated with non-linear, complex or unknown
interactions among the material constituents. Despite multidisciplinary
applications of back-propagation neural networks
(BPNN), the BP algorithm possesses the inherent drawback of
getting trapped in local minima and slowly converging to a global
optimum. The paper present a hybrid artificial neural networks and
genetic algorithm approach for modeling slump of ready mix
concrete based on its design mix constituents. Genetic algorithms
(GA) global search is employed for evolving the initial weights and
biases for training of neural networks, which are further fine tuned
using the BP algorithm. The study showed that, hybrid ANN-GA
model provided consistent predictions in comparison to commonly
used BPNN model. In comparison to BPNN model, the hybrid ANNGA
model was able to reach the desired performance goal quickly.
Apart from the modeling slump of ready mix concrete, the synaptic
weights of neural networks were harnessed for analyzing the relative
importance of concrete design mix constituents on the slump value.
The sand and water constituents of the concrete design mix were
found to exhibit maximum importance on the concrete slump value.
Abstract: Construction in Finland is focusing increasingly on
renovation instead of conventional new construction, and this trend
will continue to grow in the coming years and decades. Renovation of
the large number of suburban residential apartment buildings built in
the 1960s and 1970s poses a particular challenge. However,
renovation projects are demanding for the residents of these
buildings, since they usually are uninitiated in construction issues. On
the other hand, renovation projects generally apply the operating
models of new construction.
Nevertheless, the residents of an existing residential apartment
building are some of the best experts on the site. Thus, in this
research project we applied a relational model in developing and
testing at case sites a planning process that employs interactive
planning methods. Current residents, housing company managers, the
city zoning manager, the contractor’s and prefab element supplier’s
representatives, professional designers and researchers all took part in
the planning. The entire interactive planning process progressed
phase by phase as the participants’ and designers’ concerted
discussion and ideation process, so that the end result was a
renovation plan desired by the residents.
Abstract: Fibrin degradation is an important part in prevention
or treatment of intravascular thrombosis and cardiovascular diseases.
Plasmin like fibrinolytic enzymes has given new hope to patient with
cardiovascular diseases by treating fibrin aggregation related diseases
with traditional plasminogen activator which have many side effects.
Various researches involving wide range of sources for production of
fibrinolytic proteases, from bacteria, fungi, insects and fermented
foods. But few have looked into endophytic fungi as a potential
source. Sixteen (16) endophytic fungi were isolated from Hibiscus sp.
leaves from six different locations in Shah Alam, Selangor. Only two
endophytic fungi, FH3 and S13 showed positive fibrinolytic protease
activities. FH3 produced 5.78cm and S13 produced 4.48cm on Skim
Milk Agar after 4 days of incubation at 27°C. Fibrinolytic activity
was observed; 3.87cm and 1.82cm diameter clear zone on fibrin plate
of FH3 and S13 respectively. 18srRNA was done for identification of
the isolated fungi with positive fibrinolytic protease. S13 had the
highest similarity (100%) to that of Penicillium citrinum strain TG2
and FH3 had the highest similarity (99%) to that of Fusarium sp.
FW2PhC1, Fusarium sp. 13002, Fusarium sp. 08006, Fusarium
equiseti strain Salicorn 8 and Fungal sp. FCASAn-2. Media
composition variation showed the effects of carbon nitrogen on
protein concentration, where the decrement of 50% of media
composition caused drastic decrease in protease of FH3 from 1.081 to
0.056 and also S13 from 2.946 to 0.198.
Abstract: The study examines the influence of marital status on
consumers of products and services using blogs as a source of
information. A pre-designed questionnaire was used to collect the
primary data from the respondents (experiences). Data were collected
from one hundred and eighty seven respondents residing in and
around the Emirates of Sharjah and Dubai of the United Arab
Emirates. The collected data was analyzed with the help of statistical
tools such as averages, percentages, factor analysis, Student’s t-test
and Structural Equation Modelling Technique.
Objectives of the study are to know the reasons how married and
unmarried or single consumers of products and services are
motivated to use blogs as a source of information, to know whether
the consumers of products and services irrespective of their marital
status share their views and experiences with other bloggers and to
know the respondents’ future intentions towards blogging.
The study revealed the following: Majority of the respondents
have the motivation to blog because they are willing to receive
comments on what they post about services, convenience of blogs to
search for information about services and products, by blogging
respondents share information on the symptoms of a disease/ disorder
that may be experienced by someone, helps to share information
about ready to cook mix products and are keen to spend more time
blogging in the future.
Abstract: The need to extract R&D keywords from issues and use
them to retrieve R&D information is increasing rapidly. However, it is
difficult to identify related issues or distinguish them. Although the
similarity between issues cannot be identified, with an R&D lexicon,
issues that always share the same R&D keywords can be determined.
In detail, the R&D keywords that are associated with a particular issue
imply the key technology elements that are needed to solve a particular
issue.
Furthermore, the relationship among issues that share the same
R&D keywords can be shown in a more systematic way by clustering
them according to keywords. Thus, sharing R&D results and reusing
R&D technology can be facilitated. Indirectly, redundant investment
in R&D can be reduced as the relevant R&D information can be shared
among corresponding issues and the reusability of related R&D can be
improved. Therefore, a methodology to cluster issues from the
perspective of common R&D keywords is proposed to satisfy these
demands.
Abstract: This paper presents a regression model with
autocorrelated errors in which the inputs are social moods obtained by
analyzing the adjectives in Twitter posts using a document topic
model, where document topics are extracted using LDA. The
regression model predicts Dow Jones Industrial Average (DJIA) more
precisely than autoregressive moving-average models.
Abstract: The biomass-based fuels have become great concern in order to replace the petroleum-based fuels. Biofuels are a wide range of fuels referred to liquid, gas and solid fuels produced from biomass. Recently, higher chain alcohols such as 3-methyl-1-butanol and isobutanol have become a better candidate compared to bioethanol in order to replace gasoline as transportation fuel. Therefore, in this study, 3-methyl-1-butanol was produced through a fermentation process by yeast. Several types of yeast involved in this research including Saccharomyces cerevisiae, Kluyveromyces lactis GG799 and Pichia pastoris (KM71H, GS115 and X33). The result obtained showed that K. lactis GG799 gave the highest concentration of 3-methyl-1-butanol at 274 mg/l followed by S. cerevisiae, P. pastoris GS115, P. pastoris KM71H and P. pastoris X33 at 265 mg/l, 190 mg/l, 182 mg/l and 174 mg/l respectively. Based on the result, it proved that yeast have a potential in producing 3-methyl-1-butanol naturally.
Abstract: In the present work, detailed analysis on flow characteristics of a pair of immiscible liquids through horizontal pipeline is simulated by using ANSYS FLUENT 6.2. Moderately viscous oil and water (viscosity ratio = 107, density ratio = 0.89 and interfacial tension = 0.024 N/m) have been taken as system fluids for the study. Volume of Fluid (VOF) method has been employed by assuming unsteady flow, immiscible liquid pair, constant liquid properties, and co-axial flow. Meshing has been done using GAMBIT. Quadrilateral mesh type has been chosen to account for the surface tension effect more accurately. From the grid independent study, we have selected 47037 number of mesh elements for the entire geometry. Simulation successfully predicts slug, stratified wavy, stratified mixed and annular flow, except dispersion of oil in water, and dispersion of water in oil. Simulation results are validated with horizontal literature data and good conformity is observed. Subsequently, we have simulated the hydrodynamics (viz., velocity profile, area average pressure across a cross section and volume fraction profile along the radius) of stratified wavy and annular flow at different phase velocities. The simulation results show that in the annular flow, total pressure of the mixture decreases with increase in oil velocity due to the fact that pipe cross section is completely wetted with water. Simulated oil volume fraction shows maximum at the centre in core annular flow, whereas, in stratified flow, maximum value appears at upper side of the pipeline. These results are in accord with the actual flow configuration. Our findings could be useful in designing pipeline for transportation of crude oil.
Abstract: Attractive and creative advertisement displays are
often in high demand as they are known to have profound impact on
the commercial market. In the fast advancement of technology,
advertising trend has taken a great leap in attracting more and more
demanding consumers. A low-cost and low-power consumption
flipping advertisement board has been developed in this paper. The
design of the electrical circuit and the controller of the advertisement
board are presented. A microcontroller, a Darlington Pair driver and a
unipolar stepper motor were used to operate the electrical flipping
advertisement board. The proposed system has been implemented
and the hardware has been tested to demonstrate the capability of
displaying multiple advertisements in a panel.
Abstract: There is an essential need for obtaining the mathematical representation of fish body undulations, which can be used for designing and building new innovative types of marine propulsion systems with less environmental impact. This research work presents a case study to derive the mathematical model for fish body movement. Observation and capturing image methods were used in this study in order to obtain a mathematical representation of Clariasbatrachus fish (catfish). An experiment was conducted by using an aquarium with dimension 0.609 m x 0.304 m x 0.304 m, and a 0.5 m ruler was attached at the base of the aquarium. Progressive Scan Monochrome Camera was positioned at 1.8 m above the base of the aquarium to provide swimming sequences. Seven points were marked on the fish body using white marker to indicate the fish movement and measuring the amplitude of undulation. Images from video recordings (20 frames/s) were analyzed frame by frame using local coordinate system, with time interval 0.05 s. The amplitudes of undulations were obtained for image analysis from each point that has been marked on fish body. A graph of amplitude of undulations versus time was plotted by using computer to derive a mathematical fit. The function for the graph is polynomial with nine orders.
Abstract: The powders of Ba(Ce1-xZrx)0.90Y0.1O3-δ (BCZY) with 0.2 ≤ x ≤ 0.6 have been prepared by a modified sol-gel method. Triethylenetetramine (TETA) was employed as chelating agent. Phase formation of calcined powders at 1100oC and sintered pellets at 1400oC of BCZY were examined by an X-ray diffractrometer (XRD). XRD results showed the calcined powder and sintered pellet formed a single perovskite phase over the entire range of x values. As the amount of zirconium substitution (x values) increase, the main peaks are shifted to the higher 2theta values which suggest a complete substitution of zirconium into cerium sites. All the obtained calcined powders and sintered pellets possess cubic structure (Pm-3m) at all x values.
Abstract: As Malaysia aims to be a developed country by year 2020; the construction industry has since been identified as a major catalyst for the country to attain the status. It is one of the sectors that contribute to most environmental pollutions. It is, therefore, important for the industry to implement sustainable construction practices to reduce the negative impacts that it has on the environment. However, most Malaysian developers have placed much focus on market demand and economic factors; neglecting the need for attention on environmental issues. The practice of sustainable construction is deemed to be an obstacle to achieve short-term economic goals due to the higher cost incurred in the operations. Hence, choices need to be made and a balance needs to be struck in weighing the long-term environmental benefits against immediate economic factors. This paper discusses the challenges faced by Malaysian developers in adopting sustainable practices in the construction industry and the cause of these challenges. It also looks into the achievements and breakthroughs that developers in Malaysia have achieved so far. The paper aims explores the long-term benefits of sustainable practices that would potentially raise awareness on the feasibility and economic potential of sustainable construction.
Abstract: An extensive amount of work has been done in data
clustering research under the unsupervised learning technique in Data
Mining during the past two decades. Moreover, several approaches
and methods have been emerged focusing on clustering diverse data
types, features of cluster models and similarity rates of clusters.
However, none of the single clustering algorithm exemplifies its best
nature in extracting efficient clusters. Consequently, in order to
rectify this issue, a new challenging technique called Cluster
Ensemble method was bloomed. This new approach tends to be the
alternative method for the cluster analysis problem. The main
objective of the Cluster Ensemble is to aggregate the diverse
clustering solutions in such a way to attain accuracy and also to
improve the eminence the individual clustering algorithms. Due to
the massive and rapid development of new methods in the globe of
data mining, it is highly mandatory to scrutinize a vital analysis of
existing techniques and the future novelty. This paper shows the
comparative analysis of different cluster ensemble methods along
with their methodologies and salient features. Henceforth this
unambiguous analysis will be very useful for the society of clustering
experts and also helps in deciding the most appropriate one to resolve
the problem in hand.