Abstract: Fading noise degrades the performance of cellular
communication, most notably in femto- and pico-cells in 3G and 4G
systems. When the wireless channel consists of a small number of
scattering paths, the statistics of fading noise is not analytically
tractable and poses a serious challenge to developing closed
canonical forms that can be analysed and used in the design of
efficient and optimal receivers. In this context, noise is multiplicative
and is referred to as stochastically local fading. In many analytical
investigation of multiplicative noise, the exponential or Gamma
statistics are invoked. More recent advances by the author of this
paper utilized a Poisson modulated-weighted generalized Laguerre
polynomials with controlling parameters and uncorrelated noise
assumptions. In this paper, we investigate the statistics of multidiversity
stochastically local area fading channel when the channel
consists of randomly distributed Rayleigh and Rician scattering
centers with a coherent Nakagami-distributed line of sight component
and an underlying doubly stochastic Poisson process driven by a
lognormal intensity. These combined statistics form a unifying triply
stochastic filtered marked Poisson point process model.
Abstract: Wireless Sensor Network (WSN) routing is complex
due to its dynamic nature, computational overhead, limited battery
life, non-conventional addressing scheme, self-organization, and
sensor nodes limited transmission range. An energy efficient routing
protocol is a major concern in WSN. LEACH is a hierarchical WSN
routing protocol to increase network life. It performs self-organizing
and re-clustering functions for each round. This study proposes a
better sensor networks cluster head selection for efficient data
aggregation. The algorithm is based on Tabu search.
Abstract: Many herbal medicinal products are considered
potential anti-hypercholesterolemic agents with encouraging safety
profiles, however only a limited amount of clinical research exists to
support their efficacy. The present study was designed to compare the
antihypercholesterolemic and antioxidant activities of the crude
ethanolic extracts of Citrus reticulata fruit peel, Zingiber officinale
rhizome and Sesamum indicum seeds. Forty-five rats were used throughout the experiment which are
extended for four weeks. These were divided into nine groups, five
rats per each group as follows; group 1 was the normal control group
(rats only fed standard normal rat diet), group 2 was the
hypercholesterolemic control group (rats fed only
hypercholesterolemic diet which contained 1% cholesterol plus 10%
saturated animal fat added to the normal rat diet), groups 3 and 4
were fed hypercholesterolemic diet in addition to Citrus reticulata
ethanolic extract at doses of (250mg/kg (group 3) and 500mg/kg
(group 4)) administered daily via oral route, groups 5 and 6 were
given hypercholesterolemic diet in addition to Zingiber officinale
ethanolic extract at doses of (250mg/kg (group 5) and 500mg/kg
(group 6)) daily through oral route, groups 7 and 8 fed on
hypercholesterolemic diet in addition to Sesamum indicum ethanolic
extract at doses of (250mg/kg (group 7) and 500mg/kg (group 8))
daily orally; and group 9 rats were given hypercholesterolemic diet in
addition to atorvastatin (0.18mg/kg) daily via oral route as a standard
reference antihypercholesterolemic drug. Blood samples from all
groups were drawn from the retro-orbital venous plexus four weeks
following treatment after overnight fasting and the lipid profile (total
cholesterol (TC), high density lipoprotein-cholesterol (HDL-C), low
density lipoprotein-cholesterol (LDL-C) and triglyceride levels) were
measured and the risk ratio (TC/HDL-C) was assessed. The
antioxidant activity of the three plants extracts was determined using
DPPH free-radical antioxidant assay. Results of in vivo and in vitro
antihypercholesterolemic and antioxidant assay respectively, revealed
that the three extracts possess comparable antioxidant and
antihypercholesterolemic activities.
Abstract: Background: To improve the delivery of paediatric
healthcare in low resource settings, Community Health Workers
(CHW) have been provided with a paper-based set of protocols
known as Community Case Management (CCM). Yet research has
shown that CHW adherence to CCM guidelines is poor, ultimately
impacting health service delivery. Digitising the CCM guidelines via
mobile technology is argued in extant literature to improve CHW
adherence. However, little research exist which outlines how (a) this
process can be digitised and (b) adherence could be improved as a
result. Aim: To explore how an electronic mobile version of CCM
(eCCM) can overcome issues associated with the paper-based CCM
protocol (inadequate adherence to guidelines) vis-à-vis service
blueprinting. This service blueprint will outline how (a) the CCM
process can be digitised using mobile Clinical Decision Support
Systems software to support clinical decision-making and (b)
adherence can be improved as a result. Method: Development of a
single service blueprint for a standalone application which visually
depicts the service processes (eCCM) when supporting the CHWs,
using an application known as Supporting LIFE (SL eCCM app) as
an exemplar. Results: A service blueprint is developed which
illustrates how the SL eCCM app can be utilised by CHWs to assist
with the delivery of healthcare services to children. Leveraging
smartphone technologies can (a) provide CHWs with just-in-time
data to assist with their decision making at the point-of-care and (b)
improve CHW adherence to CCM guidelines. Conclusions: The
development of the eCCM opens up opportunities for the CHWs to
leverage the inherent benefit of mobile devices to assist them with
health service delivery in rural settings. To ensure that benefits are
achieved, it is imperative to comprehend the functionality and form
of the eCCM service process. By creating such a service blueprint for
an eCCM approach, CHWs are provided with a clear picture
regarding the role of the eCCM solution, often resulting in buy-in
from the end-users.
Abstract: Underwater acoustic networks have attracted great
attention in the last few years because of its numerous applications.
High data rate can be achieved by efficiently modeling the physical
layer in the network protocol stack. In Acoustic medium,
propagation speed of the acoustic waves is dependent on many
parameters such as temperature, salinity, density, and depth.
Acoustic propagation speed cannot be modeled using standard
empirical formulas such as Urick and Thorp descriptions. In this
paper, we have modeled the acoustic channel using real time data of
temperature, salinity, and speed of Bay of Bengal (Indian Coastal
Region). We have modeled the acoustic channel by using Mackenzie
speed equation and real time data obtained from National Institute of
Oceanography and Technology. It is found that acoustic propagation
speed varies between 1503 m/s to 1544 m/s as temperature and
depth differs. The simulation results show that temperature, salinity,
depth plays major role in acoustic propagation and data rate
increases with appropriate data sets substituted in the simulated
model.
Abstract: From the start, the importance of having a plan to
sustain tourism was acknowledged. The correct methods to monitor
that type of tourism have been researched. Thus, we propose in this
work to analyze the applicability of a monitoring and assistance
method on the understanding of the tourism sustainability in a small
size destiny or getaway. In this study, the subject is Lagoa da
Confusão, in the state of Tocantins and the analysis was carried out
through the efficiency of the local indicators, according to the WOT
approach. We concluded that the sustainable tourism key points that
were analyzed demonstrated to be important evaluation and
quantification tools for the proposed tasks to be developed in the
mentioned destiny. This is a study of an interdisciplinary character
and the deductive method was chosen as the guiding line.
Abstract: The Greater Athens Area (GAA) faces photochemical
and particulate pollution episodes as a result of the combined effects
of local pollutant emissions, regional pollution transport, synoptic
circulation and topographic characteristics. The area has undergone
significant changes since the Athens 2004 Olympic Games because
of large scale infrastructure works that lead to the shift of population
to areas previously characterized as rural, the increase of the traffic
fleet and the operation of highways. However, few recent modelling
studies have been performed due to the lack of an accurate, updated
emission inventory. The photochemical modelling system
MM5/CAMx was applied in order to study the photochemical and
particulate pollution characteristics above the GAA for two distinct
ten-day periods in the summer of 2006 and 2010, where air pollution
episodes occurred. A new updated emission inventory was used
based on official data. Comparison of modeled results with
measurements revealed the importance and accuracy of the new
Athens emission inventory as compared to previous modeling
studies. The model managed to reproduce the local meteorological
conditions, the daily ozone and particulates fluctuations at different
locations across the GAA. Higher ozone levels were found at
suburban and rural areas as well as over the sea at the south of the
basin. Concerning PM10, high concentrations were computed at the
city centre and the southeastern suburbs in agreement with measured
data. Source apportionment analysis showed that different sources
contribute to the ozone levels, the local sources (traffic, port
activities) affecting its formation.
Abstract: In this study, we have collected cases with adipocere
formation, which were from the South Delhi region (average room
temperature 27-390C) and autopsied at our centre. Details of the
circumstances of the death, cause and time of death, surrounding
environment and demographic profile of the deceased were taken into
account. Total 16 cases were included in this study. Adipocere
formation was predominantly present over cheeks, shoulder, breast,
flanks, buttocks, and thighs. Out of 16, 11 cases were found in a dry
atmosphere, 5 cases were brought from the water. There were 5 cases
in which adipocere formation was seen in less than 2 days, and
among them, in 1 case, as early as one day. This study showed that
adipocere formation can be seen as early as 1 day in a hot and humid
environment.
Abstract: Red pepper (Capsicum annum L.) has long been
recognized as a good source of antioxidants, being rich in ascorbic
acid and other phytochemicals. In Turkish cuisine red pepper is
sometimes consumed raw in salads and baked as a garnish, but its
most wide consumption type is red pepper paste. The processing of
red pepper into pepper paste includes various thermal treatment steps
such as heating and pasteurizing. There are reports demonstrating an
enhancement or reduction in antioxidant activity of vegetables after
thermal treatment. So this study was conducted to investigate the
total phenolic, ascorbic acid and total carotenoids as well as free
radical scavenging activity of raw red pepper and various red pepper
pastes obtainable on the market. The samples were analyzed for
radical-scavenging activity (RSA) and total polyphenol (TP) content
using 1,1-diphenyl-2-picrylhydrazyl (DPPH) and Folin-Ciocalteu
methods, respectively. Total carotenoids and ascorbic acid contents
were determined spectrophotometrically. Results suggest that hot
pepper paste contained significantly (P0.05) difference in RSA, ascorbic acid and total carotenoids
content between sweet and hot red pepper paste products. It is
concluded that the red pepper paste, that has a wide range of
consumption in Turkish cuisine, presents a good dose of phenolic
compounds and antioxidant capacity and it should be regarded as a
functional food.
Abstract: The market competition is moving from the single
firm to the whole supply chain because of increasing competition and
growing need for operational efficiencies and customer orientation.
Supply chain management allows companies to look beyond their
organizational boundaries to develop and leverage resources and
capabilities of their supply chain partners. This creates competitive
advantages in the marketplace and because of this SCM has acquired
strategic importance. Lean Approach is a management strategy that focuses on reducing
every type of waste present in an organization. This approach is
becoming more and more popular among supply chain managers. The supply chain application of lean approach is not frequent. In
particular, it is not well studied which are the impacts of lean
approach principles in a supply chain context. In literature there are
only few studies aimed at understanding the qualitative impact of the
lean approach in supply chains. Therefore, the goal of this research
work is to study the impacts of lean principles implementation along
a supply chain. To achieve this, a simulation model of a threeechelon
multi-product supply chain has been built. Kanban system (and several priority policies) and setup time
reduction degrees are implemented in the lean-configured supply
chain to apply pull and lot-sizing decrease principles respectively. To
evaluate the benefits of lean approach, lean supply chain is compared
with an EOQ-configured supply chain. The simulation results show
that Kanban system and setup-time reduction improve inventory
stock level. They also show that logistics efforts are affected to lean
implementation degree. The paper concludes describing
performances of lean supply chain in different contexts.
Abstract: In this talk, we introduce a newly developed quantile
function model that can be used for estimating conditional
distributions of financial returns and for obtaining multi-step ahead
out-of-sample predictive distributions of financial returns. Since we
forecast the whole conditional distributions, any predictive quantity
of interest about the future financial returns can be obtained simply
as a by-product of the method. We also show an application of the
model to the daily closing prices of Dow Jones Industrial Average
(DJIA) series over the period from 2 January 2004 - 8 October 2010.
We obtained the predictive distributions up to 15 days ahead for
the DJIA returns, which were further compared with the actually
observed returns and those predicted from an AR-GARCH model.
The results show that the new model can capture the main features
of financial returns and provide a better fitted model together with
improved mean forecasts compared with conventional methods. We
hope this talk will help audience to see that this new model has the
potential to be very useful in practice.
Abstract: The Radio Frequency Identification (RFID) technology
has a diverse base of applications, but it is also prone to security
threats. There are different types of security attacks which limit the
range of the RFID applications. For example, deploying the RFID
networks in insecure environments could make the RFID system
vulnerable to many types of attacks such as spoofing attack, location
traceability attack, physical attack and many more. Therefore, security
is often an important requirement for RFID systems. In this paper,
RFID mutual authentication protocol is implemented based on mobile
agent technology and timestamp, which are used to provide strong
authentication and integrity assurances to both the RFID readers and
their corresponding RFID tags. The integration of mobile agent
technology and timestamp provides promising results towards
achieving this goal and towards reducing the security threats in RFID
systems.
Abstract: The main issue in designing a wireless sensor network
(WSN) is the finding of a proper routing protocol that complies with
the several requirements of high reliability, short latency, scalability,
low power consumption, and many others. This paper proposes a
novel routing algorithm that complies with these design
requirements. The new routing protocol divides the WSN into several subnetworks
and each sub-network is divided into several clusters. This
division is designed to reduce the number of radio transmission and
hence decreases the power consumption. The network division may
be changed dynamically to adapt with the network changes and
allows the realization of the design requirements.
Abstract: Predicting earnings management is vital for the capital
market participants, financial analysts and managers. The aim of this
research is attempting to respond to this query: Is there a significant
difference between the regression model and neural networks’
models in predicting earnings management, and which one leads to a
superior prediction of it? In approaching this question, a Linear
Regression (LR) model was compared with two neural networks
including Multi-Layer Perceptron (MLP), and Generalized
Regression Neural Network (GRNN). The population of this study
includes 94 listed companies in Tehran Stock Exchange (TSE)
market from 2003 to 2011. After the results of all models were
acquired, ANOVA was exerted to test the hypotheses. In general, the
summary of statistical results showed that the precision of GRNN did
not exhibit a significant difference in comparison with MLP. In
addition, the mean square error of the MLP and GRNN showed a
significant difference with the multi variable LR model. These
findings support the notion of nonlinear behavior of the earnings
management. Therefore, it is more appropriate for capital market
participants to analyze earnings management based upon neural
networks techniques, and not to adopt linear regression models.
Abstract: Tannins are a unique category of plant phytochemicals
especially in terms of their vast potential health-benefiting properties.
Researchers have described the capacity of tannins to enhance
glucose uptake and inhibit adipogenesis, thus being potential drugs
for the treatment of non-insulin dependent diabetes mellitus. Thus,
the present research was conducted to find out tannin content of food
products. The percentage of tannin in various analyzed sources
ranged from 0.0 to 108.53%; highest in kathaa and lowest in ker and
mango bark. The percentage of tannins present in the plants,
however, varies. Numerous studies have confirmed that the naturally
occurring polyphenols are key factor for the beneficial effects of the
herbal medicines. Isolation and identification of active constituents
from plants, preparation of standardized dose & dosage regimen can
play a significant role in improving the hypoglycaemic action.
Abstract: This research studies the joint production,
maintenance and subcontracting control policy for an unreliable
deteriorating manufacturing system. Production activities are
controlled by a derivation of the Hedging Point Policy, and given that
the system is subject to deterioration, it reduces progressively its
capacity to satisfy product demand. Multiple deterioration effects are
considered, reflected mainly in the quality of the parts produced and
the reliability of the machine. Subcontracting is available as support
to satisfy product demand; also, overhaul maintenance can be
conducted to reduce the effects of deterioration. The main objective
of the research is to determine simultaneously the production,
maintenance and subcontracting rate, which minimize the total,
incurred cost. A stochastic dynamic programming model is
developed and solved through a simulation-based approach
composed of statistical analysis and optimization with the response
surface methodology. The obtained results highlight the strong
interactions between production, deterioration and quality, which
justify the development of an integrated model. A numerical example
and a sensitivity analysis are presented to validate our results.
Abstract: The aim of this study was to investigate the
photocatalytic activity of polycrystalline phases of bismuth tungstate
of formula Bi2WO6. Polycrystalline samples were elaborated using a
coprecipitation technique followed by a calcination process at
different temperatures (300, 400, 600 and 900°C). The obtained
polycrystalline phases have been characterized by X-ray diffraction
(XRD), scanning electron microscopy (SEM), and transmission
electron microscopy (TEM). Crystal cell parameters and cell volume
depend on elaboration temperature. High-resolution electron
microscopy images and image simulations, associated with X-ray
diffraction data, allowed confirming the lattices and space groups
Pca21. The photocatalytic activity of the as-prepared samples was
studied by irradiating aqueous solutions of Rhodamine B, associated
with Bi2WO6 additives having variable crystallite sizes. The
photocatalytic activity of such bismuth tungstates increased as the
crystallite sizes decreased. The high specific area of the
photocatalytic particles obtained at 300°C seems to condition the
degradation kinetics of RhB.
Abstract: This paper presents the interface ConductHome which
controls home automation systems with a Leap Motion using
“invariant gesture protocols”. This interface is meant to simplify the
interaction of the user with its environment. A hardware part allows
the Leap Motion to be carried around the house. A software part
interacts with the home automation box and displays the useful
information for the user. An objective of this work is the
development of a natural/invariant/simple gesture control interface to
help elder people/people with disabilities.
Abstract: The availability to deploy mobile applications for
health care is increasing daily thru different mobile app stores. But
within these capabilities the number of hacking attacks has also
increased, in particular into medical mobile applications. The security
vulnerabilities in medical mobile apps can be triggered by errors in
code, incorrect logic, poor design, among other parameters. This is
usually used by malicious attackers to steal or modify the users’
information. The aim of this research is to analyze the vulnerabilities
detected in mobile medical apps according to risk factor standards
defined by OWASP in 2014.
Abstract: Ultraviolet photocatalytic oxidation (UV-PCO)
technology has been recommended as a green approach to health
indoor environment when it is integrated into mechanical ventilation
systems for inorganic and organic compounds removal as well as
energy saving due to less outdoor air intakes. Although much research
has been devoted to UV-PCO, limited information is available on the
UV-PCO behavior tested by the mixtures in literature. This project
investigated UV-PCO performance and by-product generation using a
single and a mixture of acetone and MEK at 100 ppb each in a
single-pass duct system in an effort to obtain knowledge associated
with competitive photochemical reactions involved in. The
experiments were performed at 20 % RH, 22 °C, and a gas flow rate of
128 m3/h (75 cfm). Results show that acetone and MEK mutually
reduced each other’s PCO removal efficiency, particularly negative
removal efficiency for acetone. These findings were different from
previous observation of facilitatory effects on the adsorption of
acetone and MEK on photocatalyst surfaces.