Abstract: Monitoring and control of cane sugar crystallization
processes depend on the stability of the supersaturation (σ ) state.
The most widely used information to represent σ is the electrical
conductivity κ of the solutions. Nevertheless, previous studies point
out the shortcomings of this approach: κ may be regarded as
inappropriate to guarantee an accurate estimation of σ in impure
solutions. To improve the process control efficiency, additional
information is necessary. The mass of crystals in the solution ( c m )
and the solubility (mass ratio of sugar to water / s w m m ) are relevant
to complete information. Indeed, c m inherently contains information
about the mass balance and / s w m m contains information about the
supersaturation state of the solution. The main problem is that c m
and / s w m m are not available on-line. In this paper, a model based
soft-sensor is presented for a final crystallization stage (C sugar).
Simulation results obtained on industrial data show the reliability of
this approach, c m and the crystal content ( cc ) being estimated with
a sufficient accuracy for achieving on-line monitoring in industry
Abstract: Owning to the high-speed feed rate and ultra spindle
speed have been used in modern machine tools, the tool-path
generation plays a key role in the successful application of a
High-Speed Machining (HSM) system. Because of its importance in
both high-speed machining and tool-path generation, approximating a
contour by NURBS format is a potential function in CAD/CAM/CNC
systems. It is much more convenient to represent an ellipse by
parametric form than to connect points laboriously determined in a
CNC system. A new approximating method based on optimum
processes and NURBS curves of any degree to the ellipses is presented
in this study. Such operations can be the foundation of tool-radius
compensation interpolator of NURBS curves in CNC system. All
operating processes for a CAD tool is presented and demonstrated by
practical models.
Abstract: Imitation learning is considered to be an effective way of teaching humanoid robots and action recognition is the key step to imitation learning. In this paper an online algorithm to recognize
parametric actions with object context is presented. Objects are key instruments in understanding an action when there is uncertainty.
Ambiguities arising in similar actions can be resolved with objectn context. We classify actions according to the changes they make to
the object space. Actions that produce the same state change in the object movement space are classified to belong to the same class. This allow us to define several classes of actions where members of
each class are connected with a semantic interpretation.
Abstract: When a lightning strike falls near an overhead power
line, the intense electromagnetic field radiated by the current of the
lightning return stroke coupled with power lines and there induced
transient overvoltages, which can cause a back-flashover in electrical
network. The indirect lightning represents a major danger owing to
the fact that it is more frequent than that which results from the direct
strikes.
In this paper we present an analysis of the electromagnetic
coupling between an external electromagnetic field generated by the
lightning and an electrical overhead lines, so we give an important
and original contribution: We are based on our experimental
measurements which we carried in the high voltage laboratories of
EPFL in Switzerland during the last trimester of 2005, on the recent
works of other authors and with our mathematical improvement a
new particular analytical expression of the electromagnetic field
generated by the lightning return stroke was developed and presented
in this paper. The results obtained by this new electromagnetic field
formulation were compared with experimental results and give a
reasonable approach.
Abstract: In order to study the effect of phosphate solubilization
microorganisms (PSM) and plant growth promoting rhizobacteria
(PGPR) on yield and yield components of corn Zea mays (L. cv.
SC604) an experiment was conducted at research farm of Sari
Agricultural Sciences and Natural Resources University, Iran during
2007. Experiment laid out as split plot based on randomized
complete block design with three replications. Three levels of
manures (consisted of 20 Mg.ha-1 farmyard manure, 15 Mg.ha-1 green
manure and check or without any manures) as main plots and eight
levels of biofertilizers (consisted of 1-NPK or conventional fertilizer
application; 2-NPK+PSM+PGPR; 3 NP50%K+PSM+PGPR; 4-
N50%PK+PSM +PGPR; 5-N50%P50%K+PSM+ PGPR; 6-PK+PGPR; 7-
NK+PSM and 8-PSM+PGPR) as sub plots were treatments. Results
showed that farmyard manure application increased row number, ear
weight, grain number per ear, grain yield, biological yield and
harvest index compared to check. Furthermore, using of PSM and
PGPR in addition to conventional fertilizer applications (NPK) could
improve ear weight, row number and grain number per row and
ultimately increased grain yield in green manure and check plots.
According to results in all fertilizer treatments application of PSM
and PGPR together could reduce P application by 50% without any
significant reduction of grain yield. However, this treatment could
not compensate 50% reduction of N application.
Abstract: Evaluation of crop plants resistance to environmental
stresses specially in germination stage is a critical factor in their
selection in different conditions of cultivation. Therefore use of a
procedure in controllable situation can help to evaluate plants
reaction to stress quickly and precisely. In order to study germination
characteristics of flax in water and salinity stress conditions were
conducted two laboratories experimental. The two experimental were
conducted in 4-replicant completing random design for salinity and
water stress. The treatment, for salinity and water stress was three
potential (zero, 40, 80 mM) of NaCl and three potential (zero, -2, -4
bar) of PEG respectively. Germination percentage and rate, in
addition to Radical and plumule length and dry-weight and
plumule/Radical ration were measured. All of characteristics reduce
under water stress conditions. salinity stress significant reduce
germination rate and Radical and plumule length of flax seeds.
Hydropriming and osmopriming significant increased germination
rate, plumule length and plumule/Radical ration ration of flax seeds.
But germination percentage and Radical and plumule dry weight
significant increased only in hydropriming treat. Hydropriming and
osmopriming could not be used to improved germination under saline
and drought stress. But has more tolerance in salinity and drought
stress in flax by less reduce in Radical and plumule length under
saline and drought stress.
Abstract: Face recognition in the infrared spectrum has attracted a lot of interest in recent years. Many of the techniques used in infrared are based on their visible counterpart, especially linear techniques like PCA and LDA. In this work, we introduce a probabilistic Bayesian framework for face recognition in the infrared spectrum. In the infrared spectrum, variations can occur between face images of the same individual due to pose, metabolic, time changes, etc. Bayesian approaches permit to reduce intrapersonal variation, thus making them very interesting for infrared face recognition. This framework is compared with classical linear techniques. Non linear techniques we developed recently for infrared face recognition are also presented and compared to the Bayesian face recognition framework. A new approach for infrared face extraction based on SVM is introduced. Experimental results show that the Bayesian technique is promising and lead to interesting results in the infrared spectrum when a sufficient number of face images is used in an intrapersonal learning process.
Abstract: This paper investigates the problem of automated defect
detection for textile fabrics and proposes a new optimal filter design
method to solve this problem. Gabor Wavelet Network (GWN) is
chosen as the major technique to extract the texture features from
textile fabrics. Based on the features extracted, an optimal Gabor filter
can be designed. In view of this optimal filter, a new semi-supervised
defect detection scheme is proposed, which consists of one real-valued
Gabor filter and one smoothing filter. The performance of the scheme
is evaluated by using an offline test database with 78 homogeneous
textile images. The test results exhibit accurate defect detection with
low false alarm, thus showing the effectiveness and robustness of the
proposed scheme. To evaluate the detection scheme comprehensively,
a prototyped detection system is developed to conduct a real time test.
The experiment results obtained confirm the efficiency and
effectiveness of the proposed detection scheme.
Abstract: The objective of this study was to determine the accuracy to estimation fetal weight by Johnson-s method and compares it with actual birth weight. The sample group was 126 infants delivered in Dan KhunThot hospital from January March 2012. Fetal weight was estimated by measuring fundal height according to Johnson-s method. The information was collected by studying historical delivery records and then analyzed by using the statistics of frequency, percentage, mean, and standard deviation. Finally, the difference was analyzed by a paired t-test.The results showed had an average birth weight was 3093.57 ± 391.03 g (mean ± SD) and 3,455 ± 454.55 g average estimated fetal weight by Johnson-s method higher than average actual birth weight was 384.09 grams. When classifying the infants according to birth weight found that low birth weight ( 4000 g) actual birth weight was more than estimated fetal weight. The difference was found between actual birth weight and estimation fetal weight of the minimum weight in high birth weight ( > 4000 g) , the appropriate birth weight (2500-3999g) and low birth weight (
Abstract: This research was conducted in the Lower Ping River
Basin downstream of the Bhumibol Dam and the Lower Wang River
Basin in Tak Province, Thailand. Most of the tributary streams of the
Ping can be considered as ungauged catchments. There are 10-
pumping station installation at both river banks of the Ping in Tak
Province. Recently, most of them could not fully operate due to the
water amount in the river below the level that would be pumping,
even though included water from the natural river and released flow
from the Bhumibol Dam. The aim of this research was to increase the
performance of those pumping stations using weir projects in the
Ping. Therefore, the river analysis system model (HEC-RAS) was
applied to study the hydraulic behavior of water surface profiles in
the Ping River with both cases of existing conditions and proposed
weirs during the violent flood in 2011 and severe drought in 2013.
Moreover, the hydrologic modeling system (HMS) was applied to
simulate lateral streamflow hydrograph from ungauged catchments of
the Ping. The results of HEC-RAS model calibration with existing
conditions in 2011 showed best trial roughness coefficient for the
main channel of 0.026. The simulated water surface levels fitted to
observation data with R2 of 0.8175. The model was applied to 3
proposed cascade weirs with 2.35 m in height and found surcharge
water level only 0.27 m higher than the existing condition in 2011.
Moreover, those weirs could maintain river water levels and increase
of those pumping performances during less river flow in 2013.
Abstract: In recent years, real estate prediction or valuation has
been a topic of discussion in many developed countries. Improper
hype created by investors leads to fluctuating prices of real estate,
affecting many consumers to purchase their own homes. Therefore,
scholars from various countries have conducted research in real estate
valuation and prediction. With the back-propagation neural network
that has been popular in recent years and the orthogonal array in the
Taguchi method, this study aimed to find the optimal parameter
combination at different levels of orthogonal array after the system
presented different parameter combinations, so that the artificial
neural network obtained the most accurate results. The experimental
results also demonstrated that the method presented in the study had a
better result than traditional machine learning. Finally, it also showed
that the model proposed in this study had the optimal predictive effect,
and could significantly reduce the cost of time in simulation operation.
The best predictive results could be found with a fewer number of
experiments more efficiently. Thus users could predict a real estate
transaction price that is not far from the current actual prices.
Abstract: In this paper, the link quality in SHF and EHF ranges
are studied. In order to achieve high data rate higher frequencies must
be used – centimeter waves (SHF), millimeter waves (EHF) or optical
range. However, there are significant problem when a radio link work
in that diapason – rain attenuation and attenuation in earth-s
atmosphere. Based on statistical rain rates data for Bulgaria, the link
availability can be determined, depending on the working frequency,
the path length and the Power Budget of the link. For the calculations
of rain attenuation and atmosphere-s attenuation the ITU
recommendations are used.
Abstract: This paper explores the importance of privacy in a
contemporary online world. Crucial to the discussion is the idea of
the Lacanian postmodern fragmented self and the problem of how to
ensure that we have room to fully explore various aspects of our
personalities in an environment which is–or at least feels--safe and
free from observation by others. The paper begins with an
exploration of the idea of the self with particular regard to the ways
in which contemporary life and technology seems to have multiplied
the various faces or masks which we present in different contexts. A
brief history of privacy and surveillance follows. Finally, the paper
ends with an affirmation of the importance of private space as an
essential component of our spiritual and emotional well-being in
today-s wired world.
Abstract: Even though so many efforts have been taken to
renovate and renew the architecture of Miyaneh villages in cold and
dry regions of Iran-s northwest, these efforts failed due to lack of
significant study and ignoring the past and sustainable history of
those villages. Considering the overpopulation of Iran-s villages as
well as the importance in preventing their immigration to cities,
recognizing village architecture and its construction technology is of
great significance to attain sustainable residence in villages. As the
only vertical surface in the space, wall possesses its unique special
characteristics, and it is also a very important architectural element
able to provide the immunity and comfort space for the residents.
This article analyzes the characteristics of this vertical element, main
types of adobe and stone walls, locally constructed technologies,
implementation, the elements forming the walls in the frame of
village house typology of Miyaneh, which has the most villages in
East Azerbaijan, based on sustainable architectural construction
materials of walls.
Abstract: In many applications there is a broad variety of
information relevant to a focal “object" of interest, and the fusion of such heterogeneous data types is desirable for classification and
categorization. While these various data types can sometimes be treated as orthogonal (such as the hull number, superstructure color,
and speed of an oil tanker), there are instances where the inference and the correlation between quantities can provide improved fusion
capabilities (such as the height, weight, and gender of a person). A
service-oriented architecture has been designed and prototyped to
support the fusion of information for such “object-centric" situations.
It is modular, scalable, and flexible, and designed to support new data sources, fusion algorithms, and computational resources without affecting existing services. The architecture is designed to simplify
the incorporation of legacy systems, support exact and probabilistic entity disambiguation, recognize and utilize multiple types of
uncertainties, and minimize network bandwidth requirements.
Abstract: The objective of this paper is to establish a possible relationship between sustainable business practice and firm performance. Using a field survey methodology, a sample of sixty manufacturing companies in Nigeria was studied. The firms were categorised into two groups, environmentally 'responsible' and 'irresponsible' firms. An investigation was undertaken into the possible relationship between firm performance and three selected indicators of sustainable business practice: employee health and safety (EHS), waste management (WM), and community development (CD), common within the 30 'responsible' firms. Findings from empirical results reveal that the sustainable practices of the 'responsible' firms are significantly related with firm performance. In addition, sustainable practices are inversely related with fines and penalties. The paper concludes that, within the Nigerian setting at least, sustainability affects corporate performance and sustainability may be a possible tool for corporate conflict resolution as evidenced in the reduction of fines, penalties and compensations. The paper therefore recommends research into the relationship between sustainability and conflict management.
Abstract: The strawberry jam is rich in bioactive compounds. It
is economically and commercially important and widely consumed.
Different strawberries cultivars can be used for its preparation,
however, a careful selection should be performed to guarantee the
preservation of bioactive compounds during jam storage. Two
strawberry cultivars (Camarosa and American 13) were analyzed by
HPLC, three anthocyanins: cyanidin-3-glucoside, pelargonidin-3-
glucoside and pelargonidin-3-rutinoside were quantified. Camarosa
strawberries presented significantly higher concentration of
anthocyanins (p
Abstract: Climate change could lead to changes in cultural
environments and landscapes as we know them.Climate change
presents an immediate and significant threat to our natural and built
environments and to the ways of life which co-exist with these
environments. In most traditional buildings, the harmony of texture
with nature and environment has been ever considered; so houses and
cities have been mixed with their natural environment so
astonishingly and the selection and usage of materials have been in
such a way that they have provided the utmost conformity with the
environment, as the result the created areas have a unique beauty and
attraction.The extent to which climate change contributes to
destruction procedure on Iran-s historic buildings.is a subject of
current discussion. Cities, towns and built-up areas also have their
own characteristics that might make them particularly vulnerable to
climate change.
Abstract: Policy management in organizations became rising issue in the last decade. It’s because of today’s regulatory requirements in the organizations. To manage policies in large organizations is an imperative work. However, major challenges facing organizations in the last decade is managing all the policies in the organization and making them an active documents rather than simple (inactive) documents stored in computer hard drive or on a shelf. Because of this challenge, organizations need policy management program. This policy management program can be either manual or automated. This paper presents suggestions towards managing policies in organizations. As well as possible policy management solution or program to be utilized, manual or automated. The research first examines the models and frameworks used for managing policies from various perspectives in the literature of the research area/domain. At the end of this paper, a policy management framework is proposed for managing enterprise policies effectively and in a simplified manner.
Abstract: Functionalities and control behavior are both primary
requirements in design of a complex system. Automata theory plays
an important role in modeling behavior of a system. Z is an ideal
notation which is used for describing state space of a system and then
defining operations over it. Consequently, an integration of automata
and Z will be an effective tool for increasing modeling power for a
complex system. Further, nondeterministic finite automata (NFA)
may have different implementations and therefore it is needed to
verify the transformation from diagrams to a code. If we describe
formal specification of an NFA before implementing it, then
confidence over transformation can be increased. In this paper, we
have given a procedure for integrating NFA and Z. Complement of a
special type of NFA is defined. Then union of two NFAs is
formalized after defining their complements. Finally, formal
construction of intersection of NFAs is described. The specification
of this relationship is analyzed and validated using Z/EVES tool.