Abstract: Globalization is putting enormous pressure on the business organizations specially manufacturing one to rethink the supply chain in innovative manners. Inventory consumes major portion of total sale revenue. Effective and efficient inventory management plays a vital role for the successful functioning of any organization. Selection of inventory policy is one of the important purchasing activities. This paper focuses on selection and ranking of alternative inventory policies. A deterministic quantitative model based on Distance Based Approach (DBA) method has been developed for evaluation and ranking of inventory policies. We have employed this concept first time for this type of the selection problem. Four inventory policies economic order quantity (EOQ), just in time (JIT), vendor managed inventory (VMI) and monthly policy are considered. Improper selection could affect a company’s competitiveness in terms of the productivity of its facilities and quality of its products. The ranking of inventory policies is a multi-criteria problem. There is a need to first identify the selection criteria and then processes the information with reference to relative importance of attributes for comparison. Criteria values for each inventory policy can be obtained either analytically or by using a simulation technique or they are linguistic subjective judgments defined by fuzzy sets, like, for example, the values of criteria. A methodology is developed and applied to rank the inventory policies.
Abstract: This paper investigates the energy storage
technologies that can potentially enhance the use of solar energy.
Water electrolysis systems are seen as the principal means of
producing a large amount of hydrogen in the future. Starting from the
analysis of the models of the system components, a complete
simulation model was realized in the Matlab-Simulink environment.
Results of the numerical simulations are provided. The operation of
electrolysis and photovoltaic array combination is verified at various
insulation levels. It is pointed out that solar cell arrays and
electrolysers are producing the expected results with solar energy
inputs that are continuously varying.
Abstract: An effort for the detection of damages in the
reinforcement bars of reinforced concrete members using PZTs is
presented. The damage can be the result of excessive elongation of
the steel bar due to steel yielding or due to local steel corrosion. In
both cases the damage is simulated by considering reduced diameter
of the rebar along the damaged part of its length. An integration
approach based on both electromechanical admittance methodology
and guided wave propagation technique is used to evaluate the
artificial damage on the examined longitudinal steel bar. Two
actuator PZTs and a sensor PZT are considered to be bonded on the
examined steel bar. The admittance of the Sensor PZT is calculated
using COMSOL 3.4a. Fast Furrier Transformation for a better
evaluation of the results is employed. An effort for the quantification
of the damage detection using the root mean square deviation
(RMSD) between the healthy condition and damage state of the
sensor PZT is attempted. The numerical value of the RSMD yields a
level for the difference between the healthy and the damaged
admittance computation indicating this way the presence of damage
in the structure. Experimental measurements are also presented.
Abstract: Determination of optimal parameters of a passive
control system device is the primary objective of this study.
Expanding upon the use of control devices in wind and earthquake
hazard reduction has led to development of various control systems.
The advantage of non-linearity characteristics in a passive control
device and the optimal control method using LQR algorithm are
explained in this study. Finally, this paper introduces a simple
approach to determine optimum parameters of a nonlinear viscous
damper for vibration control of structures. A MATLAB program is
used to produce the dynamic motion of the structure considering the
stiffness matrix of the SDOF frame and the non-linear damping
effect. This study concluded that the proposed system (variable
damping system) has better performance in system response control
than a linear damping system. Also, according to the energy
dissipation graph, the total energy loss is greater in non-linear
damping system than other systems.
Abstract: The advantage of using non-linear passive damping
system in vibration control of two adjacent structures is investigated
under their base excitation. The base excitation is El Centro
earthquake record acceleration. The damping system is considered as
an optimum and effective non-linear viscous damper that is
connected between two adjacent structures. A MATLAB program is
developed to produce the stiffness and damping matrices and to
determine a time history analysis of the dynamic motion of the
system. One structure is assumed to be flexible while the other has a
rule as laterally supporting structure with rigid frames. The response
of the structure has been calculated and the non-linear damping
coefficient is determined using optimum LQR algorithm in an
optimum vibration control system. The non-linear parameter of
damping system is estimated and it has shown a significant advantage
of application of this system device for vibration control of two
adjacent tall building.
Abstract: Asymmetric incremental sheet forming (AISF) could significantly reduce costs incurred by the fabrication of complex industrial components with a minimal environmental impact. The AISF experiments were carried out on commercially pure titanium (Ti-Gr2), Timetal (15-3-3-3) alloy, and Ti-6Al-4V (Ti-Gr5) alloy. A special testing geometry was used to characterize the titanium alloys properties from the point of view of the forming zone and titanium structure effect. The structure and properties of the materials were assessed by means of metallographic analyses and microhardness measurements.The highest differences in the parameters assessed as a function of the sampling zone were observed in the case of alpha-phase Ti-Gr2at the expense of the most substantial sheet thinning occurrence. A springback causes a smaller stored deformation in Timetal (β alloy) resulting in less pronounced microstructure refinement and microhardness increase. Ti-6Al-4V alloy exhibited early failure due to its poor formability at ambient temperature.
Abstract: This article is concerned with the determination of the static interaction of a vertically loaded rigid circular disc embedded at the interface of a horizontal layer sandwiched in between two different transversely isotropic half-spaces called as tri-material full-space. The axes of symmetry of different regions are assumed to be normal to the horizontal interfaces and parallel to the movement direction. With the use of a potential function method, and by implementing Hankel integral transforms in the radial direction, the government partial differential equation for the solely scalar potential function is transformed to an ordinary 4th order differential equation, and the mixed boundary conditions are transformed into a pair of integral equations called dual integral equations, which can be reduced to a Fredholm integral equation of the second kind, which is solved analytically. Then, the displacements and stresses are given in the form of improper line integrals, which is due to inverse Hankel integral transforms. It is shown that the present solutions are in exact agreement with the existing solutions for a homogeneous full-space with transversely isotropic material. To confirm the accuracy of the numerical evaluation of the integrals involved, the numerical results are compared with the solutions exists for the homogeneous full-space. Then, some different cases with different degrees of material anisotropy are compared to portray the effect of degree of anisotropy.
Abstract: As internet continues to expand its usage with an
enormous number of applications, cyber-threats have significantly
increased accordingly. Thus, accurate detection of malicious traffic in
a timely manner is a critical concern in today’s Internet for security.
One approach for intrusion detection is to use Machine Learning (ML)
techniques. Several methods based on ML algorithms have been
introduced over the past years, but they are largely limited in terms of
detection accuracy and/or time and space complexity to run. In this
work, we present a novel method for intrusion detection that
incorporates a set of supervised learning algorithms. The proposed
technique provides high accuracy and outperforms existing techniques
that simply utilizes a single learning method. In addition, our
technique relies on partial flow information (rather than full
information) for detection, and thus, it is light-weight and desirable for
online operations with the property of early identification. With the
mid-Atlantic CCDC intrusion dataset publicly available, we show that
our proposed technique yields a high degree of detection rate over 99%
with a very low false alarm rate (0.4%).
Abstract: In this study, photocatalytic degradation of phenol by
titanium dioxide (TiO2) in aqueous solution was evaluated. The UV
energy of solar light was utilized by compound parabolic collectors
(CPCs) technology. The effect of irradiation time, initial pH, and
dosage of TiO2 were investigated. Aromatic intermediates (catechol,
benzoquinone, and hydroquinone) were quantified during the reaction
to study the pathways of the oxidation process. 94.5% degradation
efficiency of phenol was achieved after 150 minutes of irradiation
when the initial concentration was 100 mg/L. The dosage of TiO2
significantly affected the degradation efficiency of phenol. The
observed optimum pH for the reaction was 5.2. Phenol photocatalytic
degradation fitted to the pseudo-first order kinetic according to
Langmuir–Hinshelwood model.
Abstract: In this paper a novel method for the detection of
clipping in speech signals is described. It is shown that the new
method has better performance than known clipping detection
methods, is easy to implement, and is robust to changes in signal
amplitude, size of data, etc. Statistical simulation results are
presented.
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 outstanding mechanical properties of Carbon
nanotubes (CNTs) have generated great interest for their potential as
reinforcements in high performance cementitious composites. The
main challenge in research is the proper dispersion of carbon
nanotubes in the cement matrix. The present work discusses the role
of dispersion of multiwalled carbon nanotubes (MWCNTs) on the
compressive strength characteristics of hydrated Portland IS 1489
cement paste. Cement-MWCNT composites with different mixing
techniques were prepared by adding 0.2% (by weight) of MWCNTs
to Portland IS 1489 cement. Rectangle specimens of size
approximately 40mm × 40mm ×160mm were prepared and curing of
samples was done for 7, 14, 28 and 35days. An appreciable increase
in compressive strength with both techniques; mixture of MWCNTs
with cement in powder form and mixture of MWCNTs with cement
in hydrated form 7 to 28 days of curing time for all the samples was
observed.
Abstract: The objectives of this research were to study the management of local towns and to develop a better model of town management according to the Philosophy of Sufficiency Economy. This study utilized qualitative research, field research, as well as documentary research at the same time. A total of 10 local towns or Tambons of Supanburi province, Thailand were selected for an in-depth interview. The findings revealed that the model of local town management according to Philosophy of Sufficient Economy was in a level of “good” and the model of management has the five basic guidelines: 1) ability to manage budget information and keep it up-to-date, 2) ability to decision making according to democracy rules, 3) ability to use check and balance system, 4) ability to control, follow, and evaluation, and 5) ability to allow the general public to participate. In addition, the findings also revealed that the human resource management according to Philosophy of Sufficient Economy includes obeying laws, using proper knowledge, and having integrity in five areas: plan, recruit, select, train, and maintain human resources.
Abstract: Mangabeira (Hancornia speciosa Gomes), a native plant in Brazil, is found growing spontaneously in various regions of the country. The high perishability of tropical fruits such as mangaba, causes it to be necessary to use technologies that promote conservation, aiming to increase the shelf life of this fruit and add value. The objective of this study was to compare the mangabas lyophilization curves behaviors with different sizes and maturation stages. The fruits were freeze-dried for a period of approximately 45 hours at lyophilizer Liotop brand, model L -108. It has been considered large the fruits between 38 and 58 mm diameter and small, between 23 and 28 mm diameter and the two states of maturation, intermediate and mature. Large size mangabas drying curves in both states of maturation were linear behavior at all process, while the kinetic drying curves related to small fruits, independent of maturation state, had a typical behavior of drying, with all the well-defined steps. With these results it was noted that the time of lyophilization was suitable for small mangabas, a fact that did not happen with the larger one. This may indicate that the large mangabas require a longer time to freeze until reaches the equilibrium level, as it happens with the small fruits, going to have constant moisture at the end of the process. For both types of fruit were analyzed water activity, acidity, protein, lipid, and vitamin C before and after the process.
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: This paper gave an attempt in prioritizing information
technologies that organizations should give concentration. The case
study was organizations in the automotive assembly industry in
Thailand. Data were first collected to gather all information
technologies known and used in the automotive assembly industry in
Thailand. Five experts from the industries were surveyed based on
the concept of fuzzy DEMATEL. The information technologies were
categorized into six groups, which were communication, transaction,
planning, organization management, warehouse management, and
transportation. The cause groups of information technologies for each
group were analyzed and presented. Moreover, the relationship
between the used and the significant information technologies was
given. Discussions based on the used information technologies and
the research results are given.
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: The main aim of the current work is to examine if 14N
is candidate to be clusterized nuclei or not. In order to check this
attendance, we have measured the angular distributions for 14N ion
beam elastically scattered on 12C target nuclei at different low
energies; 17.5, 21, and 24.5MeV which are close to the Coulomb
barrier energy for 14N+12C nuclear system. Study of various transfer
reactions could provide us with useful information about the
attendance of nuclei to be in a composite form (core + valence). The
experimental data were analyzed using two approaches;
Phenomenological (Optical Potential) and semi-microscopic (Double
Folding Potential). The agreement between the experimental data and
the theoretical predictions is fairly good in the whole angular range.
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.