Abstract: In order to Study the efficacy application of green
manure as chickpea pre plant, field experiments were carried out in
2007 and 2008 growing seasons. In this research the effects of
different strategies for soil fertilization were investigated on grain
yield and yield component, minerals, organic compounds and
cooking time of chickpea. Experimental units were arranged in splitsplit
plots based on randomized complete blocks with three
replications. Main plots consisted of (G1): establishing a mixed
vegetation of Vicia panunica and Hordeum vulgare and (G2):
control, as green manure levels. Also, five strategies for obtaining the
base fertilizer requirement including (N1): 20 t.ha-1 farmyard manure;
(N2): 10 t.ha-1 compost; (N3): 75 kg.ha-1 triple super phosphate;
(N4): 10 t.ha-1 farmyard manure + 5 t.ha-1 compost and (N5): 10 t.ha-1
farmyard manure + 5 t.ha-1 compost + 50 kg.ha-1 triple super
phosphate were considered in sub plots. Furthermoree four levels of
biofertilizers consisted of (B1): Bacillus lentus + Pseudomonas
putida; (B2): Trichoderma harzianum; (B3): Bacillus lentus +
Pseudomonas putida + Trichoderma harzianum; and (B4): control
(without biofertilizers) were arranged in sub-sub plots. Results
showed that integrating biofertilizers (B3) and green manure (G1)
produced the highest grain yield. The highest amounts of yield were
obtained in G1×N5 interaction. Comparison of all 2-way and 3-way
interactions showed that G1N5B3 was determined as the superior
treatment. Significant increasing of N, P2O5, K2O, Fe and Mg content
in leaves and grains emphasized on superiority of mentioned
treatment because each one of these nutrients has an approved role in
chlorophyll synthesis and photosynthesis abilities of the crops. The
combined application of compost, farmyard manure and chemical
phosphorus (N5) in addition to having the highest yield, had the best
grain quality due to high protein, starch and total sugar contents, low
crude fiber and reduced cooking time.
Abstract: Hepatitis B and hepatitis C are among the most
significant hepatic infections all around the world that may lead to
hepatocellular carcinoma. This study is first time performed at the
blood transfussion centre of Omar hospital, Lahore. It aims to
determine the sero-prevalence of these diseases by screening the
apparently healthy blood donors who might be the carriers of HBV or
HCV and pose a high risk in the transmission. It also aims the
comparison between the sensitivity of two diagnostic tests;
chromatographic immunoassay – one step test device and Enzyme
Linked Immuno Sorbant Assay (ELISA). Blood serum of 855
apparently healthy blood donors was screened for Hepatitis B surface
antigen (HBsAg) and for anti HCV antibodies. SPSS version 12.0
and X2 (Chi-square) test were used for statistical analysis. The seroprevalence
of HCV was 8.07% by the device method and by ELISA
9.12% and that of HBV was 5.6% by the device and 6.43% by
ELISA. The unavailability of vaccination against HCV makes it more
prevalent. Comparing the two diagnostic methods, ELISA proved to
be more sensitive.
Abstract: This interdisciplinary research aims to distinguish universal scale-free and field-like fundamental principles of selforganization observable across many disciplines like computer science, neuroscience, microbiology, social science, etc. Based on these universal principles we provide basic premises and postulates for designing holistic social simulation models. We also introduce pervasive information field (PIF) concept, which serves as a simulation media for contextual information storage, dynamic distribution and organization in social complex networks. PIF concept specifically is targeted for field-like uncoupled and indirect interactions among social agents capable of affecting and perceiving broadcasted contextual information. Proposed approach is expressive enough to represent contextual broadcasted information in a form locally accessible and immediately usable by network agents. This paper gives some prospective vision how system-s resources (tangible and intangible) could be simulated as oscillating processes immersed in the all pervasive information field.
Abstract: Hydrogen diffusion is the main problem for corrosion fatigue in corrosive environment. In order to analyze the phenomenon, it is needed to understand their behaviors specially the hydrogen behavior during the diffusion. So, Hydrogen embrittlement and prediction its behavior as a main corrosive part of the fractions, needed to solve combinations of different equations mathematically. The main point to obtain the equation, having knowledge about the source of causing diffusion and running the atoms into materials, called driving force. This is produced by either gradient of electrical or chemical potential. In this work, we consider the gradient of chemical potential to obtain the property equation. In diffusion of atoms, some of them may be trapped but, it could be ignorable in some conditions. According to the phenomenon of hydrogen embrittlement, the thermodynamic and chemical properties of hydrogen are considered to justify and relate them to fracture mechanics. It is very important to get a stress intensity factor by using fugacity as a property of hydrogen or other gases. Although, the diffusive behavior and embrittlement event are common and the same for other gases but, for making it more clear, we describe it for hydrogen. This considering on the definite gas and describing it helps us to understand better the importance of this relation.
Abstract: In this paper, an extreme learning machine with an automatic segmentation algorithm is applied to heart disorder classification by heart sound signals. From continuous heart sound signals, the starting points of the first (S1) and the second heart pulses (S2) are extracted and corrected by utilizing an inter-pulse histogram. From the corrected pulse positions, a single period of heart sound signals is extracted and converted to a feature vector including the mel-scaled filter bank energy coefficients and the envelope coefficients of uniform-sized sub-segments. An extreme learning machine is used to classify the feature vector. In our cardiac disorder classification and detection experiments with 9 cardiac disorder categories, the proposed method shows significantly better performance than multi-layer perceptron, support vector machine, and hidden Markov model; it achieves the classification accuracy of 81.6% and the detection accuracy of 96.9%.
Abstract: The impacts of near-campus student housing, or offcampus
students accommodation cannot be ignored by the
universities and as well as the community officials. Numerous
scholarly studies, have highlighted the substantial economic impacts
either; direct, indirect or induced, and cumulatively the roles of the
universities have significantly contributed to the local economies.
The issue of the impacts of off-campus student rental housing on
neighbourhoods is one that has been of long-standing but increasing
concern in Malaysia. Statistically, in Malaysia, there was
approximately a total of 1.2 - 1.5 million students in 2009. By the
year 2015, it is expected that 50 per cent of 18 to 30 year olds active
population should gain access to university education, amounting to
120,000 yearly. The objectives of the research are to assess the
impacts off-campus students on the local neighbourhood and
specifically to obtain information on the living and learning
conditions of off-campus students of Universiti Teknologi MARA
Shah Alam, Malaysia. It is also to isolate those factors that may
impede the successful learning so that priority can be given to them
in subsequent policy implementations and actions by government and
the higher education institutions.
Abstract: New ways of working- refers to non-traditional work practices, settings and locations with information and communication technologies (ICT) to supplement or replace traditional ways of working. It questions the contemporary work practices and settings still very much used in knowledge-intensive organizations today. In this study new ways of working is seen to consist of two elements: work environment (incl. physical, virtual and social) and work practices. This study aims to gather the scattered information together and deepen the understanding on new ways of working. Moreover, the objective is to provide some evidence of the unclear productivity impacts of new ways of working using case study approach.
Abstract: There are many classical algorithms for finding
routing in FPGA. But Using DNA computing we can solve the routes
efficiently and fast. The run time complexity of DNA algorithms is
much less than other classical algorithms which are used for solving
routing in FPGA. The research in DNA computing is in a primary
level. High information density of DNA molecules and massive
parallelism involved in the DNA reactions make DNA computing a
powerful tool. It has been proved by many research accomplishments
that any procedure that can be programmed in a silicon computer can
be realized as a DNA computing procedure. In this paper we have
proposed two tier approaches for the FPGA routing solution. First,
geometric FPGA detailed routing task is solved by transforming it
into a Boolean satisfiability equation with the property that any
assignment of input variables that satisfies the equation specifies a
valid routing. Satisfying assignment for particular route will result in
a valid routing and absence of a satisfying assignment implies that
the layout is un-routable. In second step, DNA search algorithm is
applied on this Boolean equation for solving routing alternatives
utilizing the properties of DNA computation. The simulated results
are satisfactory and give the indication of applicability of DNA
computing for solving the FPGA Routing problem.
Abstract: This paper analyses the structural changes in
education sector since the introduction of liberalization policy in
India. This paper explains how the so-called non-profit trusts and
societies appropriated the liberalization policy and enhanced
themselves as new capitalist class in higher education sector. Over
the decades, the policy witnessed the role of private sector in terms
of maintaining market equilibrium. The state also witnessed the
incompatibility of the private sector in inculcating the values of
social justice. The most important consequence of the policy is to
witness the rise of new capitalist class and academic capitalism.
When the state came to realize that it no longer cope up with
market demands, it opens the entry of private sector in higher
education. Concessions and tax exemptions were provided to the
trusts and societies to establish higher education institutions. There
is a basic difference between western countries and India in
providing higher education by the trusts and societies. In western
countries the big business houses contributed their surplus
revenues to promote higher education and research as a
complementary service to society and nation. In India, several
entrepreneurs came up with business motive using education
sector. Over the period, they accumulated wealth at the cost of
students and concessions from the government. Four major results
can now be identified: production of manpower in view of market
demands; reduction of standards in higher education; bypassing the
values of social justice; and the rise of new capitalist class from the
business of education. This paper tries to substantiate these issues
with the inputs from case studies.
Abstract: The goal of this paper is to examine the effects of laser
radiation on the skin wound healing using infrared thermography as
non-invasive method for the monitoring of the skin temperature
changes during laser treatment. Thirty Wistar rats were used in this
study. A skin lesion was performed at the leg on all rats. The animals
were exposed to laser radiation (λ = 670 nm, P = 15 mW, DP = 16.31
mW/cm2) for 600 s. Thermal images of wound were acquired before
and after laser irradiation. The results have demonstrated that the
tissue temperature decreases from 35.5±0.50°C in the first treatment
day to 31.3±0.42°C after the third treatment day. This value is close
to the normal value of the skin temperature and indicates the end of
the skin repair process. In conclusion, the improvements in the
wound healing following exposure to laser radiation have been
revealed by infrared thermography.
Abstract: The mathematical equation for Separation of the
binary aqueous solution is developed by using the Spiegler- Kedem
theory. The characteristics of a B-9 hollow fibre module of Du Pont
are determined by using these equations and their results are
compared with the experimental results of Ohya et al. The agreement
between these results is found to be excellent.
Abstract: This paper presents an evolutionary method for designing
electronic circuits and numerical methods associated with
monitoring systems. The instruments described here have been used
in studies of weather and climate changes due to global warming, and
also in medical patient supervision. Genetic Programming systems
have been used both for designing circuits and sensors, and also for
determining sensor parameters. The authors advance the thesis that
the software side of such a system should be written in computer
languages with a strong mathematical and logic background in order
to prevent software obsolescence, and achieve program correctness.
Abstract: Code mobility technologies attract more and more developers and consumers. Numerous domains are concerned, many platforms are developed and interest applications are realized. However, developing good software products requires modeling, analyzing and proving steps. The choice of models and modeling languages is so critical on these steps. Formal tools are powerful in analyzing and proving steps. However, poorness of classical modeling language to model mobility requires proposition of new models. The objective of this paper is to provide a specific formalism “Coloured Reconfigurable Nets" and to show how this one seems to be adequate to model different kinds of code mobility.
Abstract: Short-Term Load Forecasting (STLF) plays an important role for the economic and secure operation of power systems. In this paper, Continuous Genetic Algorithm (CGA) is employed to evolve the optimum large neural networks structure and connecting weights for one-day ahead electric load forecasting problem. This study describes the process of developing three layer feed-forward large neural networks for load forecasting and then presents a heuristic search algorithm for performing an important task of this process, i.e. optimal networks structure design. The proposed method is applied to STLF of the local utility. Data are clustered due to the differences in their characteristics. Special days are extracted from the normal training sets and handled separately. In this way, a solution is provided for all load types, including working days and weekends and special days. We find good performance for the large neural networks. The proposed methodology gives lower percent errors all the time. Thus, it can be applied to automatically design an optimal load forecaster based on historical data.
Abstract: The performance of the Optical Code Division Multiplexing/ Wavelength Division Multiplexing (WDM/OCDM) technique for Optical Packet Switch is investigated. The impact on the performance of the impairment due to both Multiple Access Interference and Beat noise is studied. The Packet Loss Probability due to output packet contentions is evaluated as a function of the main switch and traffic parameters when Gold coherent optical codes are adopted. The Packet Loss Probability of the OCDM/WDM switch can reach 10-9 when M=16 wavelengths, Gold code of length L=511 and only 24 wavelength converters are used in the switch.
Abstract: The benefits of eco-roofs is quite well known, however there remains very little research conducted for the implementation of eco-roofs in subtropical climates such as Australia. There are many challenges facing Australia as it moves into the future, climate change is proving to be one of the leading challenges. In order to move forward with the mitigation of climate change, the impacts of rapid urbanization need to be offset. Eco-roofs are one way to achieve this; this study presents the energy savings and environmental benefits of the implementation of eco-roofs in subtropical climates. An experimental set-up was installed at Rockhampton campus of Central Queensland University, where two shipping containers were converted into small offices, one with an eco-roof and one without. These were used for temperature, humidity and energy consumption data collection. In addition, a computational model was developed using Design Builder software (state-of-the-art building energy simulation software) for simulating energy consumption of shipping containers and environmental parameters, this was done to allow comparison between simulated and real world data. This study found that eco-roofs are very effective in subtropical climates and provide energy saving of about 13% which agrees well with simulated results.
Abstract: This study was an investigation on the suitability of Lahar/HDPE composite as a primary material for low-cost smallscale biogas digesters. While sources of raw materials for biogas are abundant in the Philippines, cost of the technology has made the widespread utilization of this resource an indefinite proposition. Aside from capital economics, another problem arises with space requirements of current digester designs. These problems may be simultaneously addressed by fabricating digesters on a smaller, household scale to reach a wider market, and to use materials that may accommodate optimization of overall design and fabrication cost without sacrificing operational efficiency. This study involved actual fabrication of the Lahar/HDPE composite at varying composition and geometry, subsequent mechanical and thermal characterization, and implementation of Statistical Analysis to find intrinsic relationships between variables. From the results, Lahar/HDPE composite was found to be feasible for use as digester material from both mechanical and economic standpoints.
Abstract: This work presents a numerical simulation of the interaction of an incident shock wave propagates from the left to the right with a cone placed in a tube at shock. The Mathematical model is based on a non stationary, viscous and axisymmetric flow. The Discretization of the Navier-stokes equations is carried out by the finite volume method in the integral form along with the Flux Vector Splitting method of Van Leer. Here, adequate combination of time stepping parameter, CFL coefficient and mesh size level is selected to ensure numerical convergence. The numerical simulation considers a shock tube filled with air. The incident shock wave propagates to the right with a determined Mach number and crosses the cone by leaving behind it a stationary detached shock wave in front of the nose cone. This type of interaction is observed according to the time of flow.
Abstract: This paper presents a predictive model of sensor readings for mobile robot. The model predicts sensor readings for given time horizon based on current sensor readings and velocities of wheels assumed for this horizon. Similar models for such anticipation have been proposed in the literature. The novelty of the model presented in the paper comes from the fact that its structure takes into account physical phenomena and is not just a black box, for example a neural network. From this point of view it may be regarded as a semi-phenomenological model. The model is developed for the Khepera robot, but after certain modifications, it may be applied for any robot with distance sensors such as infrared or ultrasonic sensors.
Abstract: This paper presents a new compact analytical model of
the gate leakage current in high-k based nano scale MOSFET by
assuming a two-step inelastic trap-assisted tunneling (ITAT) process
as the conduction mechanism. This model is based on an inelastic
trap-assisted tunneling (ITAT) mechanism combined with a semiempirical
gate leakage current formulation in the BSIM 4 model. The
gate tunneling currents have been calculated as a function of gate
voltage for different gate dielectrics structures such as HfO2, Al2O3
and Si3N4 with EOT (equivalent oxide thickness) of 1.0 nm. The
proposed model is compared and contrasted with santaurus
simulation results to verify the accuracy of the model and excellent
agreement is found between the analytical and simulated data. It is
observed that proposed analytical model is suitable for different highk
gate dielectrics simply by adjusting two fitting parameters. It was
also shown that gate leakages reduced with the introduction of high-k
gate dielectric in place of SiO2.