Abstract: The objective of this research was to study the factors
related to the satisfaction of consumers who purchased a Toyota
SUV Fortuner. This paper was a survey data which collected 400
samples from 65 car dealerships. The survey was conducted mainly
in Bangkok, Thailand. The statistics utilized in this paper included
percentage, mean, standard deviation and Pearson Product-Moment.
The findings revealed that the majority of respondent were male with
an undergraduate degree, married and live together. The average
income of the respondents was between 20,001 - 30,000 baht. Most
of them worked for private companies. Most of them had a family
with the average of 4 members. The hypotheses testing revealed that
the factors of marketing mix in terms of product (ability, gas
mileage, and safety) were related to overall satisfaction at the
medium level. However, the findings also revealed that the factors of
marketing mix in terms of product (image), price, and promotion, and
service center were related to the overall satisfaction at the low level.
Abstract: Tumor classification is a key area of research in the
field of bioinformatics. Microarray technology is commonly used in
the study of disease diagnosis using gene expression levels. The
main drawback of gene expression data is that it contains thousands
of genes and a very few samples. Feature selection methods are used
to select the informative genes from the microarray. These methods
considerably improve the classification accuracy. In the proposed
method, Genetic Algorithm (GA) is used for effective feature
selection. Informative genes are identified based on the T-Statistics,
Signal-to-Noise Ratio (SNR) and F-Test values. The initial candidate
solutions of GA are obtained from top-m informative genes. The
classification accuracy of k-Nearest Neighbor (kNN) method is used
as the fitness function for GA. In this work, kNN and Support Vector
Machine (SVM) are used as the classifiers. The experimental results
show that the proposed work is suitable for effective feature
selection. With the help of the selected genes, GA-kNN method
achieves 100% accuracy in 4 datasets and GA-SVM method
achieves in 5 out of 10 datasets. The GA with kNN and SVM
methods are demonstrated to be an accurate method for microarray
based tumor classification.
Abstract: Landslide susceptibility map delineates the potential
zones for landslide occurrence. Previous works have applied
multivariate methods and neural networks for mapping landslide
susceptibility. This study proposed a new approach to integrate
decision tree model and spatial cluster statistic for assessing landslide
susceptibility spatially. A total of 2057 landslide cells were digitized
for developing the landslide decision tree model. The relationships of
landslides and instability factors were explicitly represented by using
tree graphs in the model. The local Getis-Ord statistics were used to
cluster cells with high landslide probability. The analytic result from
the local Getis-Ord statistics was classed to create a map of landslide
susceptibility zones. The map was validated using new landslide data
with 482 cells. Results of validation show an accuracy rate of 86.1% in
predicting new landslide occurrence. This indicates that the proposed
approach is useful for improving landslide susceptibility mapping.
Abstract: The purpose of this paper was to study motivation
factors affecting job performance effectiveness. This paper drew
upon data collected from an Internal Audit Staffs of Internal Audit
Line of Head Office of Krung Thai Public Company Limited.
Statistics used included frequency, percentage, mean and standard
deviation, t-test, and one-way ANOVA test. The finding revealed that
the majority of the respondents were female of 46 years of age and
over, married and live together, hold a bachelor degree, with an
average monthly income over 70,001 Baht. The majority of
respondents had over 15 years of work experience. They generally
had high working motivation as well as high job performance
effectiveness.
The hypotheses testing disclosed that employees with different
working status had different level of job performance effectiveness at
a 0.01 level of significance. Working motivation factors had an effect
on job performance in the same direction with high level. Individual
working motivation included working completion, reorganization,
working progression, working characteristic, opportunity,
responsibility, management policy, supervision, relationship with
their superior, relationship with co-worker, working position,
working stability, safety, privacy, working conditions, and payment.
All of these factors related to job performance effectiveness in the
same direction with medium level.
Abstract: Emotion recognition is an important research field that finds lots of applications nowadays. This work emphasizes on recognizing different emotions from speech signal. The extracted features are related to statistics of pitch, formants, and energy contours, as well as spectral, perceptual and temporal features, jitter, and shimmer. The Artificial Neural Networks (ANN) was chosen as the classifier. Working on finding a robust and fast ANN classifier suitable for different real life application is our concern. Several experiments were carried out on different ANN to investigate the different factors that impact the classification success rate. Using a database containing 7 different emotions, it will be shown that with a proper and careful adjustment of features format, training data sorting, number of features selected and even the ANN type and architecture used, a success rate of 85% or even more can be achieved without increasing the system complicity and the computation time
Abstract: Intelligent tutoring systems constitute an evolution of computer-aided educational software. We present here the modules of an intelligent tutoring system for Automatic Control, developed in our department. Through the software application developed,students can perform complete automatic control laboratory experiments, either over the departmental local area network or over the Internet. Monitoring of access to the system (local as well as international), along with student performance statistics, has yielded strongly encouraging results (as of fall 2004), despite the advanced technical content of the presented paradigm, thus showing the potential of the system developed for education and for training.
Abstract: This study assessed fish marketing as panacea towards
sustainable agriculture in Ogun State, Nigeria. Multi-stage sampling
technique was used in the selection of 150 fish marketers for this
study. Descriptive statistics were used for the objectives while
Product Pearson Moment Correlation was used to test the hypothesis.
Result of the findings revealed that the mean age of the respondents
was 38.60 years. Majority (93.33%) of the respondents had
acceptable levels of formal education. Many (44.00%) of the
respondents had spent 1-5 years in fish marketing. The average
quantity of fish sold in a day was 94.10kg. However, efficient fish
marketing were hindered by inadequate processing equipment,
storage rooms and ice holding facilities (86.67%). There was a
significant relationship between socio-economic characteristics and
profit realized from fish marketing (p < 0.05). It was recommended
that storage and warehousing facilities should be provided to the fish
marketers in the study area.
Abstract: This research study aims to identify the impact of two
factors –growth and competitive strategies- on a set of building
production innovation strategies. It was conducted a questionery
survey to collect data from construction professionals and it was
asked them the importance level of predicted innovation strategies for
corporate strategies. Multiple analysis of variance (MANOVA) was
employed to see the main and interaction effects of corporate
strategies on building innovation strategies. The results indicate that
growth strategies such as entering in a new a market or new project
types has a greater effect on innovation strategies rather than
competitive strategies such as cost leadership or differentiation
strategies. However the interaction effect of competitive strategies
and growth strategies on innovation strategies is much bigger than
the only effect of competitive strategies. It was also analyzed the
descriptive statistics of innovation strategies for different competitive
and growth strategy types.
Abstract: The purposes of this research are 1) to study English language learning strategies used by the fourth-year students majoring in English and Business English, 2) to study the English language learning strategies which have an affect on English learning achievement, and 3) to compare the English language learning strategies used by the students majoring in English and Business English. The population and sampling comprise of 139 university students of the Suan Sunandha Rajabhat University. Research instruments are language learning strategies questionnaire which was constructed by the researcher and improved on by three experts and the transcripts that show the results of English learning achievement. The questionnaire includes 1) Language Practice Strategy 2)Memory Strategy 3) Communication Strategy 4)Making an Intelligent Guess or Compensation Strategy 5) Self-discipline in Learning Management Strategy 6) Affective Strategy 7)Self-Monitoring Strategy 8) Self-studySkill Strategy. Statistics used in the study are mean, standard deviation, T-test and One Way ANOVA, Pearson product moment correlation coefficient and Regression Analysis. The results of the findings reveal that the English language learning strategies most frequently used by the students are affective strategy, making an intelligent guess or compensation strategy, self-studyskill strategy and self-monitoring strategy respectively. The aspect of making an intelligent guess or compensation strategy had the most significant affect on English learning achievement. It is found that the English language learning strategies mostly used by the Business English major students and moderately used by the English major students. Their language practice strategies uses were significantly different at the 0.05 level and their communication strategies uses were significantly different at the 0.01 level. In addition, it is found that the poor students and the fair ones most frequently used affective strategy while the good ones most frequently used making an intelligent guess or compensation strategy. KeywordsEnglish language, language learning strategies, English learning achievement, and students majoring in English, Business English. Pranee Pathomchaiwat is an Assistant Professor in Business English Program, Suan Sunandha Rajabhat University, Bangkok, Thailand (e-mail: [email protected]).
Abstract: Recently, analysis and designing of the structures
based on the Reliability theory have been the center of attention.
Reason of this attention is the existence of the natural and random
structural parameters such as the material specification, external
loads, geometric dimensions etc. By means of the Reliability theory,
uncertainties resulted from the statistical nature of the structural
parameters can be changed into the mathematical equations and the
safety and operational considerations can be considered in the
designing process. According to this theory, it is possible to study the
destruction probability of not only a specific element but also the
entire system. Therefore, after being assured of safety of every
element, their reciprocal effects on the safety of the entire system can
be investigated.
Abstract: Well-developed strategic marketing planning is the essential
prerequisite for establishment of the right and unique competitive
advantage. Typical market, however, is a heterogeneous
and decentralized structure with natural involvement of individual
or group subjectivity and irrationality. These features cannot be
fully expressed with one-shot rigorous formal models based on,
e.g. mathematics, statistics or empirical formulas. We present an
innovative solution, extending the domain of agent based computational
economics towards the concept of hybrid modeling in service
provider and consumer market such as telecommunications. The
behavior of the market is described by two classes of agents -
consumer and service provider agents - whose internal dynamics
are fundamentally different. Customers are rather free multi-state
structures, adjusting behavior and preferences quickly in accordance
with time and changing environment. Producers, on the contrary,
are traditionally structured companies with comparable internal processes
and specific managerial policies. Their business momentum is
higher and immediate reaction possibilities limited. This limitation
underlines importance of proper strategic planning as the main
process advising managers in time whether to continue with more
or less the same business or whether to consider the need for future
structural changes that would ensure retention of existing customers
or acquisition of new ones.
Abstract: The development incompatible with environment cannot be sustainable. Using renewable energy sources such as solar energy, geothermal energy and wind energy can make sustainable development in a region. Iran has a lot of renewable and nonrenewable energy resources. Since Iran has a special geographic position, it has lot of solar and wind energy resources. Both solar and wind energy are free, renewable and adaptable with environment. The study of 10 year wind data in Iranian South coastal and Islands synoptic stations shows that the production of wind power electricity and water pumping is possible in this region. In this research, we studied the local and temporal distribution of wind using three – hour statistics of windspeed in Iranian South coastal and Islands synoptic stations. This research shows that the production of wind power electricity is possible in this region all the year.
Abstract: Counting people from a video stream in a noisy environment is a challenging task. This project aims at developing a counting system for transport vehicles, integrated in a video surveillance product. This article presents a method for the detection and tracking of multiple faces in a video by using a model of first and second order local moments. An iterative process is used to estimate the position and shape of multiple faces in images, and to track them. the trajectories are then processed to count people entering and leaving the vehicle.
Abstract: Performance of a dual maximal ratio combining
receiver has been analyzed for M-ary coherent and non-coherent
modulations over correlated Nakagami-m fading channels with nonidentical
and arbitrary fading parameter. The classical probability
density function (PDF) based approach is used for analysis.
Expressions for outage probability and average symbol error
performance for M-ary coherent and non-coherent modulations have
been obtained. The obtained results are verified against the special
case published results and found to be matching. The effect of the
unequal fading parameters, branch correlation and unequal input
average SNR on the receiver performance has been studied.
Abstract: Recently, the health of retired National Football
League players, particularly lineman has been investigated. A
number of studies have reported increased cardiometabolic risk,
premature cardiovascular disease and incidence of type 2 diabetes.
Rugby union players have somatotypes very similar to National
Football League players which suggests that rugby players may have
similar health risks. The International Golden Oldies World Rugby
Festival (GORF) provided a unique opportunity to investigate the
demographics of veteran rugby players. METHODOLOGIES: A
cross-sectional, observational study was completed using an online
web-based questionnaire that consisted of medical history and
physiological measures. Data analysis was completed using a one
sample t-test (50yrs) and Chi-square test. RESULTS:
A total of 216 veteran rugby competitors (response rate = 6.8%)
representing 10 countries, aged 35-72 yrs (mean 51.2, S.D. ±8.0),
participated in the online survey. As a group, the incidence of current
smokers was low at 8.8% (avg 72.4 cigs/wk) whilst the percentage
consuming alcohol was high (93.1% (avg 11.2 drinks/wk).
Competitors reported the following top six chronic
diseases/disorders; hypertension (18.6%), arthritis (OA/RA, 11.5%),
asthma (9.3%), hyperlipidemia (8.2%), diabetes (all types, 7.5%) and
gout (6%), there were significant differences between groups with
regard to cancer (all types) and migraines. When compared to the
Australian general population (Australian Bureau of Statistics data,
n=18,000), GORF competitors had a significantly lower incidence of
anxiety (p
Abstract: Based on statistics released by Islamic Republic of
Iran Police (IRIP), from among the total 9555 motorcycle accidents
that happened in 2007, 857 riders died and 11219 one got injured. If
we also consider the death toll and injuries of other vehicles'
accidents resulted from traffic violation by motorcycle riders, then
paying attention to the motorcycle accidents seems to be very
necessary. Therefore, in this study we tried to investigate the traits
and issues related to production, application, and training, along with
causes of motorcycle accidents from 4 perspectives of road, human,
environment and vehicle and also based on statistical and
geographical analysis of accident-sheets prepared by Iran Road
Patrol Department (IRPD). Unfamiliarity of riders with regulations
and techniques of motorcycling, disuse of safety equipments,
inefficiency of roads and design of junctions for safe trafficking of
motorcycles and finally the lack of sufficient control of responsible
organizations are among the major causes which lead to these
accidents.
Abstract: The purpose of this research is to study motivation
factors and also to study factors relation to job performance to
compare motivation factors under the personal factor classification
such as gender, age, income, educational level, marital status, and
working duration; and to study the relationship between Motivation
Factors and Job Performance with job satisfactions. The sample
groups utilized in this research were 400 Suan Sunandha Rajabhat
University employees. This research is a quantitative research using
questionnaires as research instrument. The statistics applied for data
analysis including percentage, mean, and standard deviation. In
addition, the difference analysis was conducted by t value computing,
one-way analysis of variance and Pearson’s correlation coefficient
computing. The findings of the study results were as follows the
findings showed that the aspects of job promotion and salary were at
the moderate levels. Additionally, the findings also showed that the
motivations that affected the revenue branch chiefs’ job performance
were job security, job accomplishment, policy and management, job
promotion, and interpersonal relation.
Abstract: The aim of this study is to discuss the relationship between tourist awareness of environmental issues and their own recreational behaviors in the Taipei Guandu Wetland. A total of 392 questionnaires were gathered for data analysis using descriptive statistics, t-testing, one-way analysis of variance (ANOVA) and least significant difference (LSD) post hoc comparisons. The results showed that most of the visitors there enjoying the beautiful scenery are 21 to 30 years old with a college education. The means and standard deviations indicate that tourists express a positive degree of cognition of environmental issues and recreational behaviors. They suggest that polluting the environment is harmful to the natural ecosystem and that the natural resources of ecotourism are fragile, as well as expressing a high degree of recognition of the need to protect wetlands. Most of respondents are cognizant of the regulations proposed by the Guandu Wetland administration which asks that users exercise self-control and follow recommended guidelines when traveling the wetland. There were significant differences in the degree of cognition related to the variables of age, number of visits and reasons for visiting. We found that most respondents with relatively high levels of education would like to learn more about the wetland and are supportive of its conservation.
Abstract: Presented herein is an assessment of current nonlinear
static procedures (NSPs) for seismic evaluation of bucklingrestrained
braced frames (BRBFs) which have become a favorable
lateral-force resisting system for earthquake resistant buildings. The
bias and accuracy of modal, improved modal pushover analysis
(MPA, IMPA) and mass proportional pushover (MPP) procedures
are comparatively investigated when they are applied to BRBF
buildings subjected to two sets of strong ground motions. The
assessment is based on a comparison of seismic displacement
demands such as target roof displacements, peak floor/roof
displacements and inter-story drifts. The NSP estimates are compared
to 'exact' results from nonlinear response history analysis (NLRHA).
The response statistics presented show that the MPP
procedure tends to significantly overestimate seismic demands of
lower stories of tall buildings considered in this study while MPA
and IMPA procedures provide reasonably accurate results in
estimating maximum inter-story drift over all stories of studied BRBF
systems.
Abstract: Cities denote instantaneously a challenge and an
opportunity for climate change policy. Cities are the place where
most energy services are needed because urbanization is closely
linked to high population densities and concentration of economic
activities and production (Urban energy demand). Consequently, it is
critical to explain about the role of cities within the world-s energy
systems and its correlation with the climate change issue. With more
than half of the world-s population already living in urban areas, and
that percentage expected to rise to 75 per cent by 2050, it is clear that
the path to sustainable development must pass through cities. Cities
expanding in size and population pose increased challenges to the
environment, of which energy is part as a natural resource, and to the
quality of life. Nowadays, most cities have already understood the
importance of sustainability, both at their local scale as in terms of
their contribution to sustainability at higher geographical scales. It
requires the perception of a city as a complex and dynamic
ecosystem, an open system, or cluster of systems, where the energy
as well as the other natural resources is transformed to satisfy the
needs of the different urban activities. In fact, buildings and
transportation generally represent most of cities direct energy
demand, i.e., between 60 per cent and 80 per cent of the overall
consumption. Buildings, both residential and services are usually
influenced by the local physical and social conditions. In terms of
transport, the energy demand is also strongly linked with the specific
characteristics of a city (urban mobility).The concept of a “smart
city" builds on statistics as seven key axes of a city-s success in
moving towards common platform (brain nerve)of sustainable urban
energy systems.
With the aforesaid knowledge, the authors have suggested a frame
work to role of cities, as energy actors for smart city management.
The authors have discusses the potential elements needed for energy
in smart cities and also identified potential energy actions and
relevant barriers. Furthermore, three levels of city smartness in cities
actions to overcome market /institutional failures with a local
approach are distinguished. The authors have made an attempt to
conceive and implement concepts of city smartness by adopting the
city or local government as nerve center through an integrated
planning approach. Finally, concluding with recommendations for
the organization of the Smart Sustainable Cities for positive changes
of urban India.