Abstract: This paper presents an approach for the model-driven
generating of Rich Internet Application (RIA) focusing on the
graphical aspect. We used well known Model-Driven Engineering
(MDE) frameworks and technologies, such as Eclipse Modeling
Framework (EMF), Graphical Modeling Framework (GMF), Query
View Transformation (QVTo) and Acceleo to enable the design and
the code automatic generation of the RIA. During the development of
the approach, we focused on the graphical aspect of the application
in terms of interfaces while opting for the Model View Presenter
pattern that is designed for graphics interfaces. The paper describes
the process followed to define the approach, the supporting tool and
presents the results from a case study.
Abstract: The global demand for long-tailed macaques for
medical experimentation has continued to increase. Fulfillment of
Indonesian export demands has been mostly from natural habitats,
based on a harvesting quota. This quota has been determined
according to the total catch for a given year, and not based on
consideration of any demographic parameters or physical
environmental factors with regard to the animal; hence threatening
the sustainability of the various populations. It is therefore necessary
to formulate a method for calculating a sustainable harvesting quota,
based on population parameters in natural habitats. Considering the
possibility of variations in habitat characteristics and population
parameters, a time series observation of demographic and
physical/biotic parameters, in various habitats, was performed on 13
groups of long-tailed macaques, distributed throughout the West
Java, Lampung and Yogyakarta areas of Indonesia. These provinces
were selected for comparison of the influence of human/tourism
activities. Data on population parameters that was collected included
data on life expectancy according to age class, numbers of
individuals by sex and age class, and ‘ratio of infants to reproductive
females’. The estimation of population growth was based on a
population dynamic growth model: the Leslie matrix. The harvesting
quota was calculated as being the difference between the actual
population size and the MVP (minimum viable population) for each
sex and age class. Observation indicated that there were variations within group size
(24–106 individuals), gender (sex) ratio (1:1 to 1:1.3), life expectancy
value (0.30 to 0.93), and ‘ratio of infants to reproductive females’
(0.23 to 1.56). Results of subsequent calculations showed that
sustainable harvesting quotas for each studied group of long-tailed
macaques, ranged from 29 to 110 individuals. An estimation model
of the MVP for each age class was formulated as Log Y = 0.315 +
0.884 Log Ni (number of individual on ith age class). This study also
found that life expectancy for the juvenile age class was affected by
the humidity under tree stands, and dietary plants’ density at sapling,
pole and tree stages (equation: Y=2.296 – 1.535 RH + 0.002 Kpcg –
0.002 Ktg – 0.001 Kphn, R2 = 89.6% with a significance value of
0.001). By contrast, for the sub-adult-adult age class, life expectancy
was significantly affected by slope (equation: Y=0.377 = 0.012 Kml,
R2 = 50.4%, with significance level of 0.007). The infant-toreproductive-
female ratio was affected by humidity under tree stands,
and dietary plant density at sapling and pole stages (equation: Y = -
1.432 + 2.172 RH – 0.004 Kpcg + 0.003 Ktg, R2 = 82.0% with
significance level of 0.001). This research confirmed the importance
of population parameters in determining the minimum viable
population, and that MVP varied according to habitat characteristics
(especially food availability). It would be difficult therefore, to
formulate a general mathematical equation model for determining a
harvesting quota for the species as a whole.
Abstract: This review emphasizes the effectiveness of men’s
participation in preventing domestic violence, and whether nonviolent
(NV) boys’ and men’s perceptions of intimate partner
violence (IPV) prevention programs affect their involvement. The
main goals of this assessment were to investigate (1) how NV men
engaged in anti-violence prevention programs that empower women,
(2) what were the possible perceptions of NV men involved in
prevention programs (3) how to identify effective approaches and
strategies that encouraged NV men to become involved in prevention
programs. This critical review also included the overview of
prevention programs such as: The Mentors in Violence Prevention
Programs (MVP), The White Ribbon Campaign (WRC), and
Domestic Violence Prevention Enhancement and Leadership through
Alliances (DELTA). The review suggested that (1) the expanding
prevention programs need to reach more macro settings such as work
place, faith-based and other community based organizations, and (2)
territory prevention programs should expand through addressing the
long-term effects of violence.
Abstract: The purpose of the study was to examine the
relationships between objectively measured physical activity levels
(PALs), enjoyment of physical activity (EPA), and body mass index
(BMI) among adolescents. A total of 188 12-14-year-old Bruneian
secondary school adolescents (88 boys and 100 girls) voluntarily took
part in this study. Subjects wore the RT3 accelerometer for seven
consecutive days in order to measure their PALs. Times of students’
engagement in total (TPA), light (LPA), moderate (MPV), and
vigorous PA (VPA) were obtained from the accelerometer. Their
BMIs were calculated from their body height and weight. Physical
Activity Enjoyment Scale (PACES) was administrated to obtain their
EPA levels. Four key enjoyment factors including fun factors,
positive perceptions, unexciting in doing activities, and negative
perceptions were identified. Subjects’ social economic status (SES)
was provided by school administration. Results show that all the
adolescents did not meet the recommended PA guidelines even
though boys were engaged in more MVPA than girls. No
relationships were found between BMI and all PALs in both boys and
girls. BMI was significantly related to the PACES scores (r = -.22, p
= 0.01), fun factors (r = -.20, p = 0.05) and positive perceptions (r =-
.21, p < 0.05). The PACES scores were significantly related to LPA
(r = .18, p = 0.01) but not related to MVPA (r = .04, p > 0.05). After
controlling for age and SES, BMI was only significantly related to
the PACES scores in girls (r = -.27, p < .01) but boys (r = -.06, p >
0.05). Fun factors were significantly related to LPA and MVPA (p
Abstract: This paper proposes a low-voltage and low-power
fully integrated digitally tuned continuous-time channel selection
filter for WiMAX applications. A 5th-order elliptic low-pass filter is
realized in a Gm-C topology. The bandwidth of the fully differential
filter is reconfigurable from 2.5MHz to 20MHz (8x) for different
requirements in WiMAX applications. The filter is simulated in a
standard 90nm CMOS process. Simulation results show the THD
(@Vout =100mVpp) is less than -66dB. The in-band ripple of the
filter is about 0.15dB. The filter consumes 1.5mW from a supply
voltage of 0.9V.
Abstract: A data warehouse (DW) is a system which has value and role for decision-making by querying. Queries to DW are critical regarding to their complexity and length. They often access millions of tuples, and involve joins between relations and aggregations. Materialized views are able to provide the better performance for DW queries. However, these views have maintenance cost, so materialization of all views is not possible. An important challenge of DW environment is materialized view selection because we have to realize the trade-off between performance and view maintenance. Therefore, in this paper, we introduce a new approach aimed to solve this challenge based on Two-Phase Optimization (2PO), which is a combination of Simulated Annealing (SA) and Iterative Improvement (II), with the use of Multiple View Processing Plan (MVPP). Our experiments show that 2PO outperform the original algorithms in terms of query processing cost and view maintenance cost.
Abstract: A Data Warehouses is a repository of information
integrated from source data. Information stored in data warehouse is
the form of materialized in order to provide the better performance
for answering the queries. Deciding which appropriated views to be
materialized is one of important problem. In order to achieve this
requirement, the constructing search space close to optimal is a
necessary task. It will provide effective result for selecting view to be
materialized. In this paper we have proposed an approach to reoptimize
Multiple View Processing Plan (MVPP) by using global
common subexpressions. The merged queries which have query
processing cost not close to optimal would be rewritten. The
experiment shows that our approach can help to improve the total
query processing cost of MVPP and sum of query processing cost
and materialized view maintenance cost is reduced as well after views
are selected to be materialized.
Abstract: A data warehouse (DW) is a system which has value and role for decision-making by querying. Queries to DW are critical regarding to their complexity and length. They often access millions of tuples, and involve joins between relations and aggregations. Materialized views are able to provide the better performance for DW queries. However, these views have maintenance cost, so materialization of all views is not possible. An important challenge of DW environment is materialized view selection because we have to realize the trade-off between performance and view maintenance cost. Therefore, in this paper, we introduce a new approach aimed at solve this challenge based on Two-Phase Optimization (2PO), which is a combination of Simulated Annealing (SA) and Iterative Improvement (II), with the use of Multiple View Processing Plan (MVPP). Our experiments show that our method provides a further improvement in term of query processing cost and view maintenance cost.