Abstract: The Economic Lot Scheduling Problem (ELSP) is a
valuable mathematical model that can support decision-makers to
make scheduling decisions. The basic period approach is effective for
solving the ELSP. The assumption for applying the basic period
approach is that a product must use its maximum production rate to be
produced. However, a product can lower its production rate to reduce
the average total cost when a facility has extra idle time. The past
researches discussed how a product adjusts its production rate under
the common cycle approach. To the best of our knowledge, no studies
have addressed how a product lowers its production rate under the
basic period approach. This research is the first paper to discuss this
topic. The research develops a simple fixed rate approach that adjusts
the production rate of a product under the basic period approach to
solve the ELSP. Our numerical example shows our approach can find a
better solution than the traditional basic period approach. Our
mathematical model that applies the fixed rate approach under the
basic period approach can serve as a reference for other related
researches.
Abstract: Fast speed drives for Permanent Magnet Synchronous
Motor (PMSM) is a crucial performance for the electric traction
systems. In this paper, PMSM is derived with a Model-based
Predictive Control (MPC) technique. Fast speed tracking is achieved
through optimization of the DC source utilization using MPC. The
technique is based on predicting the optimum voltage vector applied
to the driver. Control technique is investigated by comparing to the
cascaded PI control based on Space Vector Pulse Width Modulation
(SVPWM). MPC and SVPWM-based FOC are implemented with the
TMS320F2812 DSP and its power driver circuits. The designed MPC
for a PMSM drive is experimentally validated on a laboratory test
bench. The performances are compared with those obtained by a
conventional PI-based system in order to highlight the improvements,
especially regarding speed tracking response.
Abstract: Current research is targeting new molecular
mechanisms that underlie non-alcoholic fatty liver disease (NAFLD)
and associated metabolic disorders like non-alcoholic steatohepatitis
(NASH). Forty New Zealand White rabbits have been used and fed a
high protein (HP) and energy diet based on grains and containing
11.76 MJ/kg. Boron added to 3 experimental groups’ drinking waters
(30 mg boron/L) as boron compounds. Biochemical analysis
including boron levels, and nuclear magnetic resonance (NMR) based
metabolomics evaluation, and mRNA expression of peroxisome
proliferator-activated receptor (PPAR) family was performed. LDLcholesterol
concentrations alone were decreased in all the
experimental groups. Boron levels in serum and feces were increased.
Content of acetate was in about 2x higher for anhydrous borax group,
at least 3x higher for boric acid group. PPARα mRNA expression
was significantly decreased in boric acid group. Anhydrous borax
attenuated mRNA levels of PPARγ, which was further suppressed by
boric acid. Boron supplementation decreased the degenerative
alterations in hepatocytes. Except borax group other boron groups did
not have a pronounced change in tubular epithels of kidney. In
conclusion, high protein and energy diet leads hepatocytes’
degenerative changes which can be prevented by boron
supplementation. Boric acid seems to be more effective in this
situation.
Abstract: This article proposes a new method for application in
communication circuit systems that increase efficiency, PAE, output
power and gain in the circuit. The proposed method is based on a
combination of switching class-E and class-J and has been termed
class-EJ. This method was investigated using both theory and
simulation to confirm ∼72% PAE and output power of >39dBm. The
combination and design of the proposed power amplifier accrues gain
of over 15dB in the 2.9 to 3.5GHz frequency bandwidth. This circuit
was designed using MOSFET and high power transistors. The loadand
source-pull method achieved the best input and output networks
using lumped elements. The proposed technique was investigated for
fundamental and second harmonics having desirable amplitudes for
the output signal.
Abstract: The Trustworthy link failure recovery algorithm is
introduced in this paper, to provide the forwarding continuity even
with compound link failures. The ephemeral failures are common in
IP networks and it also has some proposals based on local rerouting.
To ensure forwarding continuity, we are introducing the compound
link failure recovery algorithm, even with compound link failures.
For forwarding the information, each packet carries a blacklist, which
is a min set of failed links encountered along its path, and the next
hop is chosen by excluding the blacklisted links. Our proposed
method describes how it can be applied to ensure forwarding to all
reachable destinations in case of any two or more link or node
failures in the network. After simulating with NS2 contains lot of
samples proved that the proposed protocol achieves exceptional
concert even under elevated node mobility using Trustworthy link
Failure Recovery Algorithm.
Abstract: This paper discusses the forensic investigation of a
fatality-involved catastrophic structure collapse and the special
challenges faced when tasked with directing such an effort. While
this paper discusses the investigation’s findings and the outcome of
the event; this paper’s primary focus is on the challenges faced
directing a forensic investigation that requires coordinating with
governmental oversight while also having to accommodate multiple
parties’ investigative teams. In particular the challenges discussed
within this paper included maintaining on-site safety and operations
while accommodating outside investigator’s interests. In addition this
paper discusses unique challenges that one may face such as what to
do about unethical conduct of interested party’s investigative teams,
“off the record” sharing of information, and clandestinely transmitted
evidence.
Abstract: The 5th generation of mobile networks is term used in
various research papers and projects to identify the next major phase
of mobile telecommunications standards. 5G wireless networks will
support higher peak data rate, lower latency and provide best
connections with QoS guarantees.
In this article, we discuss various promising technologies for 5G
wireless communication systems, such as IPv6 support, World Wide
Wireless Web (WWWW), Dynamic Adhoc Wireless Networks
(DAWN), BEAM DIVISION MULTIPLE ACCESS (BDMA), Cloud
Computing, cognitive radio technology and FBMC/OQAM.
This paper is organized as follows: First, we will give introduction
to 5G systems, present some goals and requirements of 5G. In the
next, basic differences between 4G and 5G are given, after we talk
about key technology innovations of 5G systems and finally we will
conclude in last Section.
Abstract: We present a gas-liquid microfluidic system as a
reactor to obtain magnetite nanoparticles with an excellent degree of
control regarding their crystalline phase, shape and size. Several
types of microflow approaches were selected to prevent nanomaterial
aggregation and to promote homogenous size distribution. The
selected reactor consists of a mixer stage aided by ultrasound waves
and a reaction stage using a N2-liquid segmented flow to prevent
magnetite oxidation to non-magnetic phases. A milli-fluidic reactor
was developed to increase the production rate where a magnetite
throughput close to 450 mg/h in a continuous fashion was obtained.
Abstract: The substantial development of the construction
industry has forced the cement industry, its major support, to focus
on achieving maximum productivity to meet the growing demand for
this material. This means that the reliability of a cement production
system needs to be at the highest level that can be achieved by good
maintenance. This paper studies the extent to which the
implementation of RCM is needed as a strategy for increasing the
reliability of the production systems component can be increased,
thus ensuring continuous productivity. In a case study of four Libyan
cement factories, 80 employees were surveyed and 12 top and middle
managers interviewed. It is evident that these factories usually
breakdown more often than once per month which has led to a
decline in productivity. In many times they cannot achieve the
minimum level of production amount. This has resulted from the
poor reliability of their production systems as a result of poor or
insufficient maintenance. It has been found that most of the factories’
employees misunderstand maintenance and its importance. The main
cause of this problem is the lack of qualified and trained staff, but in
addition it has been found that most employees are not found to be
motivated as a result of a lack of management support and interest. In
response to these findings, it has been suggested that the RCM
strategy should be implemented in the four factories. The results
show the importance of the development of maintenance strategies
through the implementation of RCM in these factories. The purpose
of it would be to overcome the problems that could secure the
reliability of the production systems. This study could be a useful
source of information for academic researchers and the industrial
organizations which are still experiencing problems in maintenance
practices.
Abstract: Microbes have been used to solve environmental
problems for many years. The role of microorganism to sequester,
precipitate or alter the oxidation state of various heavy metals has
been extensively studied. Treatment using microorganism interacts
with toxic metal are very diverse. The purpose of this research is to
remove the mercury using Pseudomonas putida (P. putida), pure
culture ATTC 49128 at optimum growth parameters such as
techniques of culture, acclimatization time and speed of incubator
shaker. Thus, in this study, the optimum growth parameters of P.
putida were obtained to achieve the maximum of mercury removal.
Based on the optimum parameters of P. putida for specific growth
rate, the removal of two different mercury concentration, 1 ppm and
4 ppm were studied. From mercury nitrate solution, a mercuryresistant
bacterial strain which is able to reduce from ionic mercury
to metallic mercury was used to reduce ionic mercury. The overall
levels of mercury removal in this study were between 80% and 89%.
The information obtained in this study is of fundamental for
understanding of the survival of P. putida ATTC 49128 in mercury
solution. Thus, microbial mercury removal is a potential
bioremediation for wastewater especially in petrochemical industries
in Malaysia.
Abstract: This paper presents an optimization method for
reducing the number of input channels and the complexity of the
feed-forward NARX neural network (NN) without compromising the
accuracy of the NN model. By utilizing the correlation analysis
method, the most significant regressors are selected to form the input
layer of the NN structure. An application of vehicle dynamic model
identification is also presented in this paper to demonstrate the
optimization technique and the optimal input layer structure and the
optimal number of neurons for the neural network is investigated.
Abstract: This paper examines the system protection for cyber-physical
systems (CPS). CPS are particularly characterized by their
networking system components. This means they are able to adapt to
the needs of their users and its environment. With this ability, CPS
have new, specific requirements on the protection against anti-counterfeiting,
know-how loss and manipulation. They increase the
requirements on system protection because piracy attacks can be
more diverse, for example because of an increasing number of
interfaces or through the networking abilities. The new requirements
were identified and in a next step matched with existing protective
measures. Due to the found gap the development of new protection
measures has to be forced to close this gap. Moreover a comparison
of the effectiveness between selected measures was realized and the
first results are presented in this paper.
Abstract: The effect of partially substitution of magnetic
impurity Fe for Cu to the magnetic and transport properties in
electron-doped superconducting cuprates of
Eu1.85+yCe0.15-yCu1-yFeyO4+α-δ (ECCFO) with y = 0, 0.010, 0.020, and
0.050 has been studied, in order to investigate the mechanism of
magnetic and transport properties of ECCFO in normal-state.
Magnetic properties are investigated by DC magnetic-susceptibility
measurements that carried out at low temperatures down to 2 K using a
standard SQUID magnetometer in a magnetic field of 5 Oe on field
cooling. Transport properties addressed to electron mobility, are
extracted from radius of electron localization calculated from
temperature dependence of resistivity. For y = 0, temperature
dependence of dc magnetic-susceptibility (χ) indicated the change of
magnetic behavior from paramagnetic to diamagnetic below 15 K.
Above 15 K, all samples show paramagnetic behavior with the values
of magnetic moment in every volume unit increased with increasing y.
Electron mobility decreased with increasing y.
Abstract: In this paper, a new concept of closed-loop design for a
product is presented. The closed-loop design model is developed by
integrating forward design and reverse design. Based on this new
concept, a closed-loop design model for sustainable manufacturing by
integrated evaluation of forward design, reverse design, and green
manufacturing using a fuzzy analytic network process is developed. In
the design stage of a product, with a given product requirement and
objective, there can be different ways to design the detailed
components and specifications. Therefore, there can be different
design cases to achieve the same product requirement and objective.
Subsequently, in the design evaluation stage, it is required to analyze
and evaluate the different design cases. The purpose of this research is
to develop a model for evaluating the design cases by integrated
evaluating the criteria in forward design, reverse design, and green
manufacturing. A fuzzy analytic network process method is presented
for integrated evaluation of the criteria in the three models. The
comparison matrices for evaluating the criteria in the three groups are
established. The total relational values among the three groups
represent the total relational effects. In applications, a super matrix
model is created and the total relational values can be used to evaluate
the design cases for decision-making to select the final design case. An
example product is demonstrated in this presentation. It shows that the
model is useful for integrated evaluation of forward design, reverse
design, and green manufacturing to achieve a closed-loop design for
sustainable manufacturing objective.
Abstract: Some plants of genus Schinus have been used in the
folk medicine as topical antiseptic, digestive, purgative, diuretic,
analgesic or antidepressant, and also for respiratory and urinary
infections. Chemical composition of essential oils of S. molle and S.
terebinthifolius had been evaluated and presented high variability
according with the part of the plant studied and with the geographic
and climatic regions. The pharmacological properties, namely
antimicrobial, anti-tumoural and anti-inflammatory activities are
conditioned by chemical composition of essential oils. Taking into
account the difficulty to infer the pharmacological properties of
Schinus essential oils without hard experimental approach, this work
will focus on the development of a decision support system, in terms
of its knowledge representation and reasoning procedures, under a
formal framework based on Logic Programming, complemented with
an approach to computing centered on Artificial Neural Networks
and the respective Degree-of-Confidence that one has on such an
occurrence.
Abstract: In a practical power system, the power plants are not
located at the same distance from the center of loads and their fuel
costs are different. Also, under normal operating conditions, the
generation capacity is more than the total load demand and losses.
Thus, there are many options for scheduling generation. In an
interconnected power system, the objective is to find the real and
reactive power scheduling of each power plant in such a way as to
minimize the operating cost. This means that the generator’s real and
reactive powers are allowed to vary within certain limits so as to meet
a particular load demand with minimum fuel cost. This is called
optimal power flow problem. In this paper, Economic Load Dispatch
(ELD) of real power generation is considered. Economic Load
Dispatch (ELD) is the scheduling of generators to minimize total
operating cost of generator units subjected to equality constraint of
power balance within the minimum and maximum operating limits of
the generating units. In this paper, genetic algorithms are considered.
ELD solutions are found by solving the conventional load flow
equations while at the same time minimizing the fuel costs.
Abstract: Any variation in environmental characteristics of
geomorphosites would lead to destabilisation of their geotouristic
values all around the planet. The Urmia lake, with an area of
approximately 5,500 km2 and a catchment area of 51,876 km2, and to
which various reasons over time, especially in the last fifty years
have seen a sharp decline and have decreased by about 93 % in two
recent decades. These variations are not only driving significant
changes in the morphology and ecology of the present lake
landscape, but at the same time are shaping newly formed
morphologies, which vanished some valuable geomorphosites or
develop into smaller geomorphosites with significant value from a
scientific and cultural point of view. This paper analyses and
discusses features and evolution in several representative coastal and
island geomorphosites. For this purpose, a total of 23 geomorphosites
were studied in two data series (1963 and 2015) and the respective
data were compared and analysed. The results showed, the total loss
in geomorphosites area in a half century amounted to a loss of more
than 90% of the valuable geomorphosites. Moreover, the comparison
between the mean yearly value of coastal area lost over the entire
period and the yearly average calculated for the shorter period (1998-
2014) clearly indicates a pattern of acceleration. This acceleration in
the rate of reduction in lake area was seen in most of the southern
half of the lake. In the region as well, the general water-level falling
is not only causing the loss of a significant water resource, which is
followed by major impact on regional ecosystems, but is also driving
the most marked recent (last century) changes in the geotouristic
landscapes. In fact, the disappearance of geomorphosites means the
loss of tourism phenomenon. In this context attention must be paid to
the question of conservation. The action needed to safeguard
geomorphosites includes: 1) Preventive action, 2) Corrective action,
and 3) Sharing knowledge.
Abstract: This paper presents a novel algorithm for secure,
reliable and flexible transmission of big data in two hop wireless
networks using cooperative jamming scheme. Two hop wireless
networks consist of source, relay and destination nodes. Big data has
to transmit from source to relay and from relay to destination by
deploying security in physical layer. Cooperative jamming scheme
determines transmission of big data in more secure manner by
protecting it from eavesdroppers and malicious nodes of unknown
location. The novel algorithm that ensures secure and energy balance
transmission of big data, includes selection of data transmitting
region, segmenting the selected region, determining probability ratio
for each node (capture node, non-capture and eavesdropper node) in
every segment, evaluating the probability using binary based
evaluation. If it is secure transmission resume with the two- hop
transmission of big data, otherwise prevent the attackers by
cooperative jamming scheme and transmit the data in two-hop
transmission.
Abstract: This paper addresses the design of hospital Intensive
Care Unit windows for the achievement of visual comfort and energy
savings. The aim was to identify the window size and shading system
configurations that could fulfill daylighting adequacy, avoid glare
and reduce energy consumption. The study focused on addressing the
effect of utilizing different shading systems in association with a
range of Window-to-Wall Ratios (WWR) in different orientations
under the desert clear-sky of Cairo, Egypt.
The results of this study demonstrated that solar penetration is a
critical concern affecting the design of ICU windows in desert
locations, as in Cairo, Egypt. Use of shading systems was found to be
essential in providing acceptable daylight performance and energy
saving. Careful positioning of the ICU window towards a proper
orientation can dramatically improve performance. It was observed
that ICU windows facing the north direction enjoyed the widest range
of successful window configuration possibilities at different WWRs.
ICU windows facing south enjoyed a reasonable number of
configuration options as well. By contrast, the ICU windows facing
the east orientation had a very limited number of options that provide
acceptable performance. These require additional local shading
measures at certain times due to glare incidence. Moreover, use of
horizontal sun breakers and solar screens to protect the ICU windows
proved to be more successful than the other alternatives in a wide
range of Window to Wall Ratios. By contrast, the use of light shelves
and vertical shading devices seemed questionable.
Abstract: Cooperative spectrum sensing is a crucial challenge in
cognitive radio networks. Cooperative sensing can increase the
reliability of spectrum hole detection, optimize sensing time and
reduce delay in cooperative networks. In this paper, an efficient
central capacity optimization algorithm is proposed to minimize
cooperative sensing time in a homogenous sensor network using OR
decision rule subject to the detection and false alarm probabilities
constraints. The evaluation results reveal significant improvement in
the sensing time and normalized capacity of the cognitive sensors.