Abstract: Heat transfer and laminar fluid flow over backward facing step with and without obstacle numerically studied in this paper. The finite volume method adopted to solve continuity, momentum and energy equations in two dimensions. Backward facing step without obstacle and with different dimension of obstacle were presented. The step height and expansion ratio of channel were 4.8mm and 2 respectively, the range of Reynolds number varied from 75 to 225, constant heat flux subjected on downstream of wall was 2000W/m2, and length of obstacle was 1.5, 3, and 4.5mm with width 1.5mm. The separation length noticed increase with increase Reynolds number and height of obstacle. The result shows increase of heat transfer coefficient for backward facing step with obstacle in compared to those without obstacle. The maximum enhancement of heat transfer observed at 4.5mm of height obstacle due to increase recirculation flow after the obstacle in addition that at backward. Streamline of velocity showing the increase of recirculation region with used obstacle in compared without obstacle and highest recirculation region observed at obstacle height 4.5mm. The amount of enhancement heat transfer was varied between 3-5% compared to backward without obstacle.
Abstract: The results of the study on the project evaluation to
develop the competencies, capabilities, and skills in repairing
computers of people in Jompluak Local Municipality, Bang Khonthi
District, Samut Songkram Province showed that the overall result
was good (4.33). When considering on each aspect, it was found that
the highest one was on process evaluation (4.60) followed by product
evaluation (4.50) and the least one was on feeding factor (3.97).
When considering in details, it was found that: 1) the context aspect
was high (4.23) with the highest item on the arrangement of the
training situation (4.67) followed by the appropriateness of the target
(4.30) and the least aspect was on the project cooperation (3.73). 2)
The evaluation of average overall primary factor or feeding factor
showed high value (4.23) while the highest aspect was on the
capability of the trainers (4.47) followed by the suitable venue (4.33)
while the least aspect was on the insufficient budget (3.47). 3) The
average result of process evaluation was very high (4.60). The
highest aspect was on the follow-op supervision (4.70) followed by
responsibility of each project staffs (4.50) while the least aspect was
on the present situation and the problems of the community (4.40). 4)
The overall result of the product evaluation was very high (4.50). The
highest aspect was on the diversity of the activities and the
community integration (4.67) followed by project target achievement
(4.63) while the least aspect was on continuation and regularity of the
activities (4.33). The trainees reported high satisfaction on the project
management at very high level (43.33%) while 40% reported high
level and 16.67% reported moderate level. Suggestions for the project
were on the additional number of the computer sets (37.78%)
followed by longer training period especially on computer skills
(43.48%).
Abstract: Steam reforming is industrially important as it is
incorporated in several major chemical processes including the
production of ammonia, methanol, hydrogen and ox alcohols. Due to
the strongly endothermic nature of the process, a large amount of heat
is supplied by fuel burning (commonly natural gas) in the furnace
chamber. Reaction conversions, tube catalyst life, energy
consumption and CO2 emission represent the principal factors
affecting the performance of this unit and are directly influenced by
the high operating temperatures and pressures.
This study presents a simulation of the performance of the
reforming of methane in a primary reformer, through a developed
empirical relation which enables to investigate the effects of
operating parameters such as the pressure, temperature, steam to
carbon ratio on the production of hydrogen, as well as the fraction of
non converted methane.
It appears from this analysis that the exit temperature Te, the
operating pressure as well the steam to carbon ratio has an important
effect on the reforming of methane.
Abstract: A thin gold metal layer was deposited on the top of
silicon oxide films containing embedded Si nanocrystals (Si-nc). The
sample was annealed in a gas containing nitrogen, and subsequently
characterized by photoluminescence. We obtained 3-fold
enhancement of photon emission from the Si-nc embedded in silicon
dioxide covered with a Gold layer as compared with an uncovered
sample. We attribute this enhancement to the increase of the
spontaneous emission rate caused by the coupling of the Si-nc
emitters with the surface plasmons (SP). The evolution of PL
emission with laser irradiated time was also collected from covered
samples, and compared to that from uncovered samples. In an
uncovered sample, the PL intensity decreases with time,
approximately with two decay constants. Although the decrease of
the initial PL intensity associated with the increase of sample
temperature under CW pumping is still observed in samples covered
with a gold layer, this film significantly contributes to reduce the
permanent deterioration of the PL intensity. The resistance to
degradation of light-emitting silicon nanocrystals can be increased by
SP coupling to suppress the permanent deterioration. Controlling the
permanent photodeterioration can allow to perform a reliable optical
gain measurement.
Abstract: The two primary objectives of this research were (1)
to examine the current knowledge and actual circumstance of
agricultural workers about mangosteen product processing; and (2) to
analyze and evaluate ways to develop capacity of mangosteen
product processing. The population of this study was 15,125 people
who work in the agricultural sector, in this context, mangosteen
production, in the eastern part of Thailand that included Chantaburi
Province, Rayong Province, Trad Province and Pracheenburi
Province. The sample size based on Yamane’s calculation with 95%
reliability was therefore 392 samples. Mixed method was employed
included questionnaire and focus group discussion with
Connoisseurship Model used in order to collect quantitative and
qualitative data. Key informants were used in the focus group
including agricultural business owners, academic people in agro food
processing, local academics, local community development staff,
OTOP subcommittee, and representatives of agro processing
industry professional organizations. The study found that the
majority of the respondents agreed with a high level (in five- rating
scale) towards most of variables of knowledge management in agro
food processing. The result of the current knowledge and actual
circumstance of agricultural human resource in an arena of
mangosteen product processing revealed that mostly, the respondents
agreed at a high level to establish 7 variables. The guideline to
developing the body of knowledge in order to enhance the capacity
of the agricultural workers in mangosteen product processing was
delivered in the focus group discussion. The discussion finally
contributed to an idea to produce manuals for mangosteen product
processing methods, with 4 products chosen: (1) mangosteen soap;
(2) mangosteen juice; (3) mangosteen toffee; and (4) mangosteen
preserves or jam.
Abstract: Slab sliding system (SSS) with Coulomb friction
interface between slab and supporting frame is a passive structural
vibration control technology. The system can significantly reduce the
slab acceleration and accompanied lateral force of the frame. At the
same time it is expected to cause the slab displacement magnification
by sliding movement. To obtain the general comprehensive seismic
response of a single story structure, inelastic response spectra were
computed for a large ensemble of ground motions and a practical range
of structural periods and friction coefficient values. It was shown that
long period structures have no trade-off relation between force
reduction and displacement magnification with respect to elastic
response, unlike short period structures. For structures with the
majority of mass in the slab, the displacement magnification value can
be predicted according to simple inelastic displacement relation for
inelastically responding SDOF structures because the system behaves
elastically to a SDOF structure.
Abstract: Recently, ‘play of learning’ becomes important and is
emphasized as a useful learning tool. Therefore, interest in
edutainment contents is growing. Storytelling is considered first as a
method that improves the transmission of information and learner's
interest when planning edutainment contents. In this study, we
designed edutainment contents in the form of an adventure game that
applies the storytelling method. This content provides questions and
items constituted dynamically and reorganized learning contents
through analysis of test results. It allows learners to solve various
questions through effective iterative learning. As a result, the learners
can reach mastery learning.
Abstract: The paper presents an analysis of the innovation performance of small and medium-sized furniture enterprises in Bulgaria, accounting for over 97% of the companies in the sector. It contains advanced features of innovation in enterprises, specific features of the furniture industry in Bulgaria and analysis of the results of studies on the topic. The results from studies of three successive periods - 2006-2008; 2008-2010; 2010-2012, during which were studied 594 small and medium-sized furniture enterprises. There are commonly used in the EU definitions and indicators (European Commission, OECD, Oslo Manual), which allows for the comparability of results.
Abstract: Patients under health treatments that involve long
stays at a hospital or health center (e.g. cancer, organ transplants and
severe burns), tend to get bored or depressed because of the lack of
social interaction with family and friends. Such a situation also
affects the evolution and effectiveness of their treatments. In many
cases, the solution to this problem involves extra challenges, since
many patients need to rest quietly (or remain in bed) to their being
contagious. Considering the weak health condition in which usually
are these kinds, keeping them motivated and quiet represents an
important challenge for nurses and caregivers. This article presents a
mobile ubiquitous game called MagicRace, which allows hospitalized
kinds to interact socially with one another without putting to risk
their sensitive health conditions. The game does not require a
communication infrastructure at the hospital, but instead, it uses a
mobile ad hoc network composed of the handheld devices used by
the kids to play. The usability and performance of this application
was tested in two different sessions. The preliminary results show
that users experienced positive feelings from this experience.
Abstract: This paper proposes a novel e-learning model that is
based on a dynamic formative evaluation. On evaluating the existing
format of e-learning, conditions regarding repetitive learning to
achieve mastery, causes issues for learners to lose tension and become
neglectful of learning. The dynamic formative evaluation proposed is
able to supplement limitation of the existing approaches. Since a
repetitive learning method does not provide a perfect feedback, this
paper puts an emphasis on the dynamic formative evaluation that is
able to maximize learning achievement. Through the dynamic
formative evaluation, the instructor is able to refer to the evaluation
result when making an estimation about the learner. To show the flow
chart of learning, based on the dynamic formative evaluation, the
model proves its effectiveness and validity.
Abstract: Several meteorological parameters were used for the
prediction of monthly average daily global solar radiation on
horizontal using recurrent neural networks (RNNs). Climatological
data and measures, mainly air temperature, humidity, sunshine
duration, and wind speed between 1995 and 2007 were used to design
and validate a feed forward and recurrent neural network based
prediction systems. In this paper we present our reference system
based on a feed-forward multilayer perceptron (MLP) as well as the
proposed approach based on an RNN model. The obtained results
were promising and comparable to those obtained by other existing
empirical and neural models. The experimental results showed the
advantage of RNNs over simple MLPs when we deal with time series
solar radiation predictions based on daily climatological data.
Abstract: Industries using conventional fossil fuels have an
interest in better understanding the mechanism of particulate
formation during combustion since such is responsible for emission
of undesired inorganic elements that directly impact the atmospheric
pollution level. Fine and ultrafine particulates have tendency to
escape the flue gas cleaning devices to the atmosphere. They also
preferentially collect on surfaces in power systems resulting in
ascending in corrosion inclination, descending in the heat transfer
thermal unit, and severe impact on human health. This adverseness
manifests particularly in the regions of world where coal is the
dominated source of energy for consumption.
This study highlights the behavior of calcium transformation as
mineral grains verses organically associated inorganic components
during pulverized coal combustion. The influence of existing type of
calcium on the coarse, fine and ultrafine mode formation mechanisms
is also presented. The impact of two sub-bituminous coals on particle
size and calcium composition evolution during combustion is to be
assessed. Three mixed blends named Blends 1, 2, and 3 are selected
according to the ration of coal A to coal B by weight. Calcium
percentage in original coal increases as going from Blend 1 to 3.
A mathematical model and a new approach of describing
constituent distribution are proposed. Analysis of experiments of
calcium distribution in ash is also modeled using Poisson distribution.
A novel parameter, called elemental index λ, is introduced as a
measuring factor of element distribution.
Results show that calcium in ash that originally in coal as mineral
grains has index of 17, whereas organically associated calcium
transformed to fly ash shown to be best described when elemental
index λ is 7.
As an alkaline-earth element, calcium is considered the
fundamental element responsible for boiler deficiency since it is the
major player in the mechanism of ash slagging process. The
mechanism of particle size distribution and mineral species of ash
particles are presented using CCSEM and size-segregated ash
characteristics. Conclusions are drawn from the analysis of
pulverized coal ash generated from a utility-scale boiler.
Abstract: This paper presents a new control scheme to control a brushless doubly fed induction generator (BDFIG) using back-to-back PWM converters for wind power generation. The proposed control scheme is a New Self-Tuning Fuzzy Proportional-Derivative Controller (NSTFPDC). The goal of BDFIG control is to achieve a similar dynamic performance to the doubly fed induction generator (DFIG), exploiting the well-known induction machine vector control philosophy. The performance of NSTFPDC controller has been investigated and compared with the two controllers, called Proportional–Integral (PI) and PD-like Fuzzy Logic controller (PD-like FLC) based BDFIG. The simulation results demonstrate the effectiveness and the robustness of the NSTFPDC controller.
Abstract: In this paper, a numerical algorithm using a coupled Galerkin-Differential Quadrature (DQ) method is proposed for the solution of dam-reservoir interaction problem. The governing differential equation of motion of the dam structure is discretized by the Galerkin method and the DQM is used to discretize the fluid domain. The resulting systems of ordinary differential equations are then solved by the Newmark time integration scheme. The mixed scheme combines the simplicity of the Galerkin method and high accuracy and efficiency of the DQ method. Its accuracy and efficiency are demonstrated by comparing the calculated results with those of the existing literature. It is shown that highly accurate results can be obtained using a small number of Galerkin terms and DQM sampling points. The technique presented in this investigation is general and can be used to solve various fluid-structure interaction problems.
Abstract: We present in this work the performances of a mobile omnidirectional robot through evaluating its management of the redundancy of actuation. Thus we come to the predictive control implemented.
The distribution of the wringer on the robot actions, through the inverse pseudo of Moore-Penrose, corresponds to a « geometric ›› distribution of efforts. We will show that the load on vehicle wheels would not be equi-distributed in terms of wheels configuration and of robot movement.
Thus, the threshold of sliding is not the same for the three wheels of the vehicle. We suggest exploiting the redundancy of actuation to reduce the risk of wheels sliding and to ameliorate, thereby, its accuracy of displacement. This kind of approach was the subject of study for the legged robots.
Abstract: This paper presents experimental investigation carried out on an unmodified four stroke diesel engine running with preheated straight vegetable oil (SVO) of Karanja. The viscosity of straight karanja oil was reduced by preheating the oil up to 1600C under different load condition. The preheating was done with the help of a Shell and Tube heat exchanger equipment without using any external power source. The heat exchanger was designed in the lab and the heating source was by waste exhaust gas from engine. The experimental results data were analyzed by using 20% blends of svo of Karanja with 80% diesel by volume and 100% preheated svo of karanja for various parameters like specific fuel consumption, brake thermal efficiency and emission of exhaust gas like CO, CO2, HC and NOx. The results indicated that by using straight karanja oil, the emission parameter increases as compared to diesel but regarding engine performance it was found to be very close to that of diesel. All total it can be a replacement of diesel with a small efficiency drop.
Abstract: Fluoroquinolones are a group of antibiotics widely used because of their broad spectrum activity against both Gram-positive and Gram-negative bacteria. In this study, ciprofloxacin and levofloxacin were administered to rats at therapeutic doses to evaluate their effects on plasma arylesterase activity, as well as, on hepatic advanced oxidized protein products (AOPPs) and malondialdehyde (MDA) levels, as measures of oxidative stress. Ciprofloxacin (80 mg/kg body weight) and levofloxacin (40 mg/kg body weight) were administered to male albino rats for 7 and 14 days. The data obtained demonstrated that plasma arylesterase activity was significantly decreased by both drugs with ciprofloxacin administration inhibiting the activity by 29% and 30% while Levofloxacin treatment resulted in 35% and 30% inhibition, after 7 and 14 days treatment respectively. Hepatic AOPP and MDA levels were both elevated by these antibiotics. This study supplies further evidence that fluoroquinolones at therapeutic doses promote oxidative stress.
Abstract: This paper proposes a hierarchical hidden Markov model (HHMM) to model the detection of M vehicles in a wireless sensor network (WSN). The HHMM model contains an extra level of hidden Markov model to model the temporal transitions of each
state of the first HMM. By modeling the temporal transitions, only those hypothesis with nonzero transition probabilities needs to be tested. Thus, this method efficiently reduces the computation load, which is preferable in WSN applications.This paper integrates several techniques to optimize the detection performance. The output of the states of the first HMM is modeled as Gaussian Mixture Model (GMM), where the number of states and the number of Gaussians are experimentally determined, while the other parameters are estimated using Expectation Maximization (EM). HHMM is used to model the sequence of the local decisions which are based on multiple hypothesis testing with maximum likelihood approach. The states in the HHMM represent various combinations of vehicles of different types. Due to the statistical advantages of multisensor data fusion, we propose a heuristic based on fuzzy weighted majority voting to enhance cooperative classification of moving vehicles within a region that is monitored by a wireless sensor network. A fuzzy inference system weighs each local decision based on the signal to noise
ratio of the acoustic signal for target detection and the signal to noise ratio of the radio signal for sensor communication. The spatial correlation among the observations of neighboring sensor nodes is efficiently utilized as well as the temporal correlation. Simulation results demonstrate the efficiency of this scheme.
Abstract: Measuring the reusability of Object-Oriented (OO) program code is important to ensure a successful and timely adaptation and integration of the reused code in new software projects. It has become even more relevant with the availability of huge amounts of open-source projects. Reuse saves cost, increases the speed of development and improves software reliability. Measuring this reusability is not s straight forward process due to the variety of metrics and qualities linked to software reuse and the lack of comprehensive empirical studies to support the proposed metrics or models. In this paper, a conceptual model is proposed to measure the reusability of OO program code. A comprehensive set of metrics is used to compute the most significant factors of reusability and an empirical investigation is conducted to measure the reusability of the classes of randomly selected open-source Java projects. Additionally, the impact of using inner and anonymous classes on the reusability of their enclosing classes is assessed. The results obtained are thoroughly analyzed to identify the factors behind lack of reusability in open-source OO program code and the impact of nesting on it.
Abstract: In this article, coordinated tuning of power system stabilizer (PSS) with static var compensator (SVC) and thyristor controlled series capacitor (TCSC) in multi-machine power system is proposed. The design of proposed coordinated damping controller is formulated as an optimization problem and the controller gains are optimized instantaneously using advanced adaptive particle swarm optimization (AAPSO). The objective function is framed with the inter-area speed deviations of the generators and it is minimized using AAPSO to improve the dynamic stability of power system under severe disturbance. The proposed coordinated controller performance is evaluated under a wide range of system operating conditions with three-phase fault disturbance. Using time domain simulations the damping characteristics of proposed controller is compared with individually tuned PSS, SVC and TCSC controllers. Finally, the real-time simulations are carried out in Opal-RT hardware simulator to synchronize the proposed controller performance in the real world.