Abstract: There is wide range of scientific workflow systems
today, each one designed to resolve problems at a specific level. In
large collaborative projects, it is often necessary to recognize the
heterogeneous workflow systems already in use by various partners
and any potential collaboration between these systems requires
workflow interoperability. Publish/Subscribe Scientific Workflow
Interoperability Framework (PS-SWIF) approach was proposed to
achieve workflow interoperability among workflow systems. This
paper evaluates the PS-SWIF approach and its system to achieve
workflow interoperability using Web Services with asynchronous
notification messages represented by WS-Eventing standard. This
experiment covers different types of communication models provided
by Workflow Management Coalition (WfMC). These models are:
Chained processes, Nested synchronous sub-processes, Event
synchronous sub-processes, and Nested sub-processes
(Polling/Deferred Synchronous). Also, this experiment shows the
flexibility and simplicity of the PS-SWIF approach when applied to a
variety of workflow systems (Triana, Taverna, Kepler) in local and
remote environments.
Abstract: In the present study, we aimed to design the
intrauterine and extrauterine exposure to 1800 MHz GSM-like RF
radiation and investigate its possible bio-effects on infant female
rabbits. Totally thirty-six New Zealand White female rabbits, onemonth
old, were randomly divided into four groups which are
composed of 9 rabbits; i. Group I [Intrauterine (IU) exposure(-);
Extrauterine (EU) exposure (-)], Group II [IU exposure (-); EU
exposure (+)], Group III [IU exposure(+);EU exposure(-)], Group IV
[IU exposure (+);EU exposure(+)]. The master regulatory enzymes
activities of pentose phosphate pathway (glucose-6-phosphate
dehydrogenase, G-6PD; 6-phosphogluconate dehydrogenase, 6-
PGDH) and glutathione-dependent metabolism (glutathione
peroxidase, GSH-Px; glutathione reductase, GR; glutathione Stransferase,
GST, thioredoxin reductase, TRx) were analyzed in liver
tissues of young female rabbits. Decreased G-6PD, 6-PGD, GSH-Px,
GR activities were found in Group III compared to Group I (p
Abstract: This paper discusses aspects of re-design of loadshedding
schemes with respect to actual developments in the Kosovo
power system. Load-shedding is a type of emergency control that is
designed to ensure system stability by reducing power system load to
match the power generation supply. This paper presents a new
adaptive load-shedding scheme that provides emergency protection
against excess frequency decline, in cases when the Kosovo power
system might be disconnected from the regional transmission
network. The proposed load-shedding scheme uses the local
frequency rate information to adapt the load-shedding pattern to suit
the size and location of the occurring disturbance. The proposed
scheme is tested in a software simulation on a large scale PSS/E
model which represents nine power system areas of Southeast Europe
including the Kosovo power system.
Abstract: This paper analysis the integrated use of safety monitoring with the domestic and international latest research on rail safety protection system, and focus on the implementation of an organic whole system, with the monitoring and early warning, risk assessment, predictive control and emergency rescue system. The system framework, contents and system structure of Security system is proposed completely. It-s pointed out that the Security system is a negative feedback system composed of by safety monitoring and warning system, risk assessment and emergency rescue system. Safety monitoring and warning system focus on the monitoring target monitoring, early warning, tracking, integration of decision-making, for objective and subjective risks factors. Risk assessment system analysis the occurrence of a major Security risk mechanism, determines the standard of the future short, medium and long term safety conditions, and give prop for development of safety indicators, accident analysis and safety standards. Emergency rescue system is with the goal of rapid and effective rescue work for accident, to minimize casualties and property losses.
Abstract: High redundancy and strong uncertainty are two main characteristics for underwater robotic manipulators with unlimited workspace and mobility, but they also make the motion planning and control difficult and complex. In order to setup the groundwork for the research on control schemes, the mathematical representation is built by using the Denavit-Hartenberg (D-H) method [9]&[12]; in addition to the geometry of the manipulator which was studied for establishing the direct and inverse kinematics. Then, the dynamic model is developed and used by employing the Lagrange theorem. Furthermore, derivation and computer simulation is accomplished using the MATLAB environment. The result obtained is compared with mechanical system dynamics analysis software, ADAMS. In addition, the creation of intelligent artificial skin using Interlink Force Sensing ResistorTM technology is presented as groundwork for future work
Abstract: A fundamental model consisting of charged particles
moving in free space exposed to alternating and direct current (ACDC)
electromagnetic fields is analyzed. Effects of charged particles
initial position and initial velocity to cyclotron resonance frequency
are observed. Strong effects are observed revealing that effects of
electric and magnetic fields on a charged particle in free space
varies with the initial conditions. This indicates the frequency where
maximum displacement occur can be changed. At this frequency
the amplitude of oscillation of the particle displacement becomes
unbounded.
Abstract: Factor analysis was applied to two stages biogas
production from banana stem waste allowing a screening of the
experimental variables second stage temperature (T), organic loading
rates (OLR) and hydraulic retention times (HRT). Biogas production
was found to be strongly influenced by all the above experimental
variables. Results from factorial analysis have shown that all
variables which were HRT, OLR and T have significant effect to
biogas production. Increased in HRT and OLR could increased the
biogas yield. The performance was tested under the conditions of
various T (35oC-60oC), OLR (0.3 g TS/l.d–1.9 gTS/l.d), and HRT (3
d–15 d). Conditions for temperature, OLR and HRT in this study
were based on the best range obtained from literature review.
Abstract: In vitro gastro-duodenal digestion model was used to investigate the changes of emulsions under digestion conditions. Oil in water emulsions stabilized by whey proteins (2%) and stabilized by whey proteins (2%) with addition of carboxymethyl cellulose (0.75%) as gelling agent of continuous phase were prepared at pH7. Both emulsions were destabilized under gastric conditions; however the protective role of carboxymethyl cellulose was indicated by recording delay of fat digestibility of this emulsion. In the presence of carboxymethyl cellulose whey proteins on the interfacial surface of droplets were more resistant to gastric degradation causing limited hydrolysis of fat due to the poor acceptability of lipids for the enzymes. Studies of emulsions using in vivo model supported results from in vitro studies. Lower content of triglycerides in blood serum and higher amount of fecal fat of rats were determined when rats were fed by diet containing emulsion made with whey proteins and carboxymethyl cellulose.
Abstract: In this paper we propose a method which improves the efficiency of video coding. Our method combines an adaptive GOP (group of pictures) structure and the shot cut detection. We have analyzed different approaches for shot cut detection with aim to choose the most appropriate one. The next step is to situate N frames to the positions of detected cuts during the process of video encoding. Finally the efficiency of the proposed method is confirmed by simulations and the obtained results are compared with fixed GOP structures of sizes 4, 8, 12, 16, 32, 64, 128 and GOP structure with length of entire video. Proposed method achieved the gain in bit rate from 0.37% to 50.59%, while providing PSNR (Peak Signal-to-Noise Ratio) gain from 1.33% to 0.26% in comparison to simulated fixed GOP structures.
Abstract: When an assignable cause(s) manifests itself to a multivariate process and the process shifts to an out-of-control condition, a root-cause analysis should be initiated by quality engineers to identify and eliminate the assignable cause(s) affected the process. A root-cause analysis in a multivariate process is more complex compared to a univariate process. In the case of a process involved several correlated variables an effective root-cause analysis can be only experienced when it is possible to identify the required knowledge including the out-of-control condition, the change point, and the variable(s) responsible to the out-of-control condition, all simultaneously. Although literature addresses different schemes to monitor multivariate processes, one can find few scientific reports focused on all the required knowledge. To the best of the author’s knowledge this is the first time that a multi task model based on artificial neural network (ANN) is reported to monitor all the required knowledge at the same time for a multivariate process with more than two correlated quality characteristics. The performance of the proposed scheme is evaluated numerically when different step shifts affect the mean vector. Average run length is used to investigate the performance of the proposed multi task model. The simulated results indicate the multi task scheme performs all the required knowledge effectively.
Abstract: In this paper the development of a software to
encrypt messages with asymmetric cryptography is presented. In
particular, is used the RSA (Rivest, Shamir and Adleman) algorithm
to encrypt alphanumeric information. The software allows to
generate different public keys from two prime numbers provided by
the user, the user must then select a public-key to generate the
corresponding private-key. To encrypt the information, the user must
provide the public-key of the recipient as well as the message to be
encrypted. The generated ciphertext can be sent through an insecure
channel, so that would be very difficult to be interpreted by an
intruder or attacker. At the end of the communication, the recipient
can decrypt the original message if provide his/her public-key and
his/her corresponding private-key.
Abstract: The IFRS for Small and Medium-sized Entities
(SMEs) was issued in July 2009 and currently regulators are
considering various implementation strategies of this standard.
Romania is a member of the European Union since 2007, thus
accounting regulations were issued in order to ensure compliance
with the European Accounting Directives. As the European
Commission rejected recently the mandatory use of IFRS for SMEs,
regulatory bodies from the Member States have to decide if the
standard will affect or not the accounting practices of SMEs from
their countries. Recently IASB invited stakeholders to discuss the
revision of IFRS for SMEs. Empirical studies on the differences and
similarities between national standards and IFRS for SMEs could
inform decision makers on the actual level of convergence in
different countries. The purpose of this paper is to provide empirical
evidences on the convergence of the Romanian regulations with IFRS
for SMEs analyzing the results in the context of the last revisions
proposed to the EU Accounting Directives.
Abstract: SIP (Session Initiation Protocol), using HTML based
call control messaging which is quite simple and efficient, is being
replaced for VoIP networks recently. As for authentication and
authorization purposes there are many approaches and considerations
for securing SIP to eliminate forgery on the integrity of SIP
messages. On the other hand Elliptic Curve Cryptography has
significant advantages like smaller key sizes, faster computations on
behalf of other Public Key Cryptography (PKC) systems that obtain
data transmission more secure and efficient. In this work a new
approach is proposed for secure SIP authentication by using a public
key exchange mechanism using ECC. Total execution times and
memory requirements of proposed scheme have been improved in
comparison with non-elliptic approaches by adopting elliptic-based
key exchange mechanism.
Abstract: Data Envelopment Analysis (DEA) is one of the most
widely used technique for evaluating the relative efficiency of a set
of homogeneous decision making units. Traditionally, it assumes that
input and output variables are known in advance, ignoring the critical
issue of data uncertainty. In this paper, we deal with the problem
of efficiency evaluation under uncertain conditions by adopting the
general framework of the stochastic programming. We assume that
output parameters are represented by discretely distributed random
variables and we propose two different models defined according to a
neutral and risk-averse perspective. The models have been validated
by considering a real case study concerning the evaluation of the
technical efficiency of a sample of individual firms operating in
the Italian leather manufacturing industry. Our findings show the
validity of the proposed approach as ex-ante evaluation technique
by providing the decision maker with useful insights depending on
his risk aversion degree.
Abstract: The performance of an image filtering system depends
on its ability to detect the presence of noisy pixels in the image. Most
of the impulse detection schemes assume the presence of salt and
pepper noise in the images and do not work satisfactorily in case of
uniformly distributed impulse noise. In this paper, a new algorithm is
presented to improve the performance of switching median filter in
detection of uniformly distributed impulse noise. The performance of
the proposed scheme is demonstrated by the results obtained from
computer simulations on various images.
Abstract: Modern retailers such as hypermarket/supermarket
need to be more customer-oriented in order to survive in today-s
competitive business world. As a result, the investigation of
determinant factors of store loyalty becomes important issue for
modern retailing players. This study suggests that consumers- store
loyalty in the modern retailing market (hypermarkets and
supermarkets) is influenced by environmental factors (such as store
image, store personnel). Using a model of stimulus-organismresponse
(S-O-R), this research examines S-R relationship of store
loyalty. S-O-R framework is derived from the existence literature and
tested empirically based on Indonesian consumers- experience. The
stimuli for this study are store image, store personnel, satisfaction
and culture factors. Affect, or the consumers- liking to modern
retailing stores, mediates the chosen environmental factors on
consumer-s store loyalty. The findings showed that store image, store
satisfaction and culture have significant positive relationship to store
loyalty via affect.
Abstract: We attempted investigate a boat model, based on the
conversion of energy of surface wave into a sequence of
unidirectional pulses of jet spurts, in other words - model of the boat,
which is thrusting by the waves field on water surface. These pulses
are forming some average reactive stream from the output nozzle on
the stern of boat. The suggested model provides the conversion of its
oscillatory motions (both pitching and rolling) into a jet flow. This
becomes possible due to special construction of the boat and due to
several details, sensitive to the local wave field. The boat model
presents the uniflow jet engine without slow conversions of
mechanical energy into intermediate forms and without any external
sources of energy (besides surface waves). Motion of boat is
characterized by fast jerks and average onward velocity, which
exceeds the velocities of liquid particles in the wave.
Abstract: The use of neural networks is popular in various
building applications such as prediction of heating load, ventilation
rate and indoor temperature. Significant is, that only few papers deal
with indoor carbon dioxide (CO2) prediction which is a very good
indicator of indoor air quality (IAQ). In this study, a data-driven
modelling method based on multilayer perceptron network for indoor
air carbon dioxide in an apartment building is developed.
Temperature and humidity measurements are used as input variables
to the network. Motivation for this study derives from the following
issues. First, measuring carbon dioxide is expensive and sensors
power consumptions is high and secondly, this leads to short
operating times of battery-powered sensors. The results show that
predicting CO2 concentration based on relative humidity and
temperature measurements, is difficult. Therefore, more additional
information is needed.
Abstract: Sediment loads transfer in hydraulic installations and their consequences for the O&M of modern canal systems is emerging as one of the most important considerations in hydraulic engineering projects apriticularly those which are inteded to feed the irrigation and draiange schemes of large command areas such as the Dez and Mogahn in Iran.. The aim of this paper is to investigate the applicability of the vortex tube as a viable means of extracting sediment loads entering the canal systems in general and the water inatke structures in particulars. The Western conveyance canal of the Dez Diversion weir which feeds the Karkheh Flood Plain in Sothwestern Dezful has been used as the case study using the data from the Dastmashan Hydrometric Station. The SHARC software has been used as an analytical framework to interprete the data. Results show that given the grain size D50 and the canal turbulence the adaption length from the beginning of the canal and after the diversion dam is estimated at 477 m, a point which is suitable for laying the vortex tube.
Abstract: The frequency dependence of the phase field
model(PFM) is studied. A simple PFM is proposed, and is tested in a
laminar boundary layer. The Blasius-s laminar boundary layer
solution on a flat plate is used for the flow pattern, and several
frequencies are imposed on the PFM, and the decay times of the
interfaces are obtained. The computations were conducted for three
cases: 1) no-flow, and 2) a half ball on the laminar boundary layer, 3) a
line of mass sources in the laminar boundary layer. The computations
show the decay time becomes shorter as the frequency goes larger, and
also show that it is sensitive to both background disturbances and
surface tension parameters. It is concluded that the proposed simple
PFM can describe the properties of decay process, and could give the
fundamentals for the decay of the interface in turbulent flows.