




How Can Data Mining Improve Health Care?


Abd Elrazek AbdElrazek,


Abstract
: 

Building health care systems related symptoms differ than estimated illness, can have a substantial impact on health. It is important for the clinician to recognize when symptoms/ illness are related to the patient’s workplace, environment and even considered culture, these should be treated as occupational/ environmental or cultural illnesses. Evidencebased medicine is a powerful tool to help minimize treatment variation, readmission and unexpected costs. However the bestpractice guidelines contribute further to the goal of standardized patient outcomes and controlling costs. We discuss data mining intelligent technology to improve health care systems in a way saving time, effort and money and improve overall medical care systems. 






Inference on the StressStrength Model from Weibull Gamma Distribution


Mohamed A. W. Mahmoud,
Rashad M. ELSagheer,
Mahmoud M. M. Mansour,


Abstract
: 

The point at issue of this paper is to deliberate point and interval estimations of the stress  strength function, R. The maximum likelihood, Bayes, and parametric bootstrap estimators are obtained as point estimations of R. Based on the maximum likelihood estimate (MLE) of R, the distribution of R is determined and hence its conﬁdence interval (CI) is estimated. The variance of ˆ R has been got in a closed form. Furthermore, four bootstrap CIs of R have been obtained. The results of Bayes estimation are computed under the squared error loss (SEL) and the LINEX loss functions. The acceptance rejection principle algorithm is applied to obtain the credible CI of R. Finally, two explanatory examples are introduced to explicate the precision of the obtained estimators 






Statistical analysis of Roughness in Hard Turning with coated carbide tool based on Artificial Neural Network (ANN) and Regression Models: An optimization approach


D.Rajeev,
D.Dinakaran,


Abstract
: 

This work is focused on the statistical analysis of roughness of machined surface by varying the process parameters (cutting speed, feed rate and depth of cut) during hard turning of AISI 4140 steel heat treated to 47 HRC .The cutting tool taken in consideration is CVD coated Ti(C, N) + Al2O3 carbide tool. The Experimentation for analysis is based on Response surface methodology (Central composite design) as per the design of experiments (DOE).The analysis of variance (ANOVA) is carried out to find out the influencing parameter on roughness. The regression and ANN model to predict roughness in terms of cutting parameters are found. The optimal cutting conditions to reduce roughness are also found using Response Surface Methodology (RSM). The results reveal feed is the most influencing parameter followed by cutting speed. The combination of feed and cutting speed‟s influence on roughness is also found to be significant. The ANN model prediction ability is higher when compared to regression. 






AUTOMATIC GENERATION CONTROL OF A TWO AREA THERMALTHERMAL POWER SYSTEM IN DEREGULATED ENVIRONMENT USING GENETIC ALGORITHM OPTIMIZED FUZZY LOGIC CONTROLLER


S.Ajitha Priyadarsini,
P.Melba Mary,
M.Willjuice Iruthayarajan,


Abstract
: 

This paper put forwards a solution for the load frequency control of two area thermalthermal power systems under deregulated conditions. In the proposed paper Genetic algorithm(GA) is used to tune the fuzzy logic controller (FLC). The regions are interrelated by means of standard AC tielines. The optimal tuning is obtained by optimizing the scaling gains of the FLC. The proposed controller is evaluated under various operating conditions in a deregulated two area environment. The impacts of bilateral agreements between distribution companies (DISCOs) and generation companies (GENCOs) are taken into consideration. The simulation is carried out using Simulink/MATLAB. The GA tuned controller showed better performance with respect to conventional Proportional Integral (PI) controller and nontuned FLC controller. 






INVESTIGATION OF DYNAMIC CHARACTRISTICS OF 1 HIGH TEMPERATURE CYCLIC PRESSURIZATION OF TITANIUM DUCTS IN AIRCRAFT USING CFD


M.Karthigairajan,
S.Mohanamurugan,
P.K.Nagarajan,
R.Krishnaraj,


Abstract
: 

In recent years researchers has taken keen interest in airconditioning
system of commercial aircraft. This is mainly due to the reason that failure occur
at the pneumatic channel of the aircraft which is subjected hot air pressure cycle,
causing the stress developed in the material to be cyclic in nature. During the
service operation of aircraft airconditioning system, ice buildup occur in some
parts of the flow channel, to prevent this a pneumatic channel is providedfeed
with hot air that is bleed from the engine of the aircraft. Mainly titanium is used
for pneumatic system components of aircraft due to its favourable
characteristics.
The crucial part where the failure occurs is taken in to consideration and a new model
of the part have been created. It is modelled using the CATIA V5 software and thermal
analysis is done using the ANSYS software. Commercially pure titanium is one of the
various metallic materials selected for use in the pneumatic system components. From the
obtained result it is evaluated that the rectangular duct has high heat flux than square and
circular ducts. 






Complete Tripartite Graph accepting Continuous Monotonic Decomposition theorem for evaluation routing of reaction mechanism of Piperdone Derivatives with different colour mobility of Graph labelling


V.Narayanan,
J.B.VeeraMalini,
G.Baskar,


Abstract
: 

This research paper has provided a new platform for the Graph labelling method of 3
isobutyl2,6–bis(mnitrophenyl)piperidin4one semicarbazone. A futuristic approach for
the synthesised compound has been developed in the graph theory and sequence of reaction
mechanism of compound is done through Complete Tripartite Graph accepting Continuous
Monotonic Decomposition concepts. In the same way we have desired functional illustration
and acceptance of Graph Theory to chemistry dictionary. Thus the complex compound is
enhanced in mathematical theory and to correlate the mode of arrangement of compound in
graph labelling. The focus of this application is to bridge qualitative relationship and
representation of research compound in graphical decomposition factors. 






INVENTORY ROUTING AND PRICING PROBLEM IN A SUPPLY CHAIN NET WORK DESIGN BY A HEURISTIC METHOD


J. Anix Joel Singh,
Dr. M. Saravanan,


Abstract
: 

In this Research work a mathematical model for the inventory routing and pricing problem is proposed. The solution for this model is an nonpolynomial problem, a heuristic method, tabu search adopting different neighborhood search approaches, is used to obtain the optimal solution. The pricing and demand decision are ignored and assumed in most inventory routing problem researches. The inventory routing problem in a supply chain network is to determine delivery routes from suppliers to some geographically dispersed retailers and inventory policy retailers. The proposed heuristic method was compared with two other methods considering inventory routing problem and pricing. The pricing decision affects the demand decision and then both inventory and routing decisions, it should be considered in the inventory routing problem to achieve the objective of maximum profit in the supply chain net work. it is method is better than the two other methods in terms of average profit. 






Some Contributions of Congruence Relations on Lattice of Fuzzy Lideals


Bharathi P,
Vimala J,
L.Vijayalakshmi,
J.Arockia Reeta,


Abstract
: 

The main objective of this paper is to introduce the Congruence Re lations on the set of all Fuzzy L  ideals of Lgroup. Let F be the set of all fuzzy Lideals dened on the Lattice Ordered Group G. We introduce the ongruence relations on F and derived some intresting results on the
relation between F and its congruence relations.Also we stablished some important results on congruence relations by using the operations on fuzzy Lideals. 






MULTIOBJECTIVE CRITERIA IN HYBRID FLOW SHOP SCHEDULING USING IMPROVED GENETIC ALGORITHM


M.L.Brabin Nivas,
T.Prabaharan,


Abstract
: 

Flow Shop Scheduling Problem consists of scheduling a set of n jobs on a set of m machines. For this problem, all jobs have the same sequence of operations.
In this work, we considered the problem with respect to the objectives of makespan and total tardiness, flow time.
We present an Improved Genetic Algorithm based approach in order to solve this scheduling problem.
The job dataFour Drawer Furniture Component (4dfc) have collected from companyand time sequence for each operation was calculated manually and also the results are shown and discussed.
By using Genetic Algorithm the various sequences have generated through this the Makespan time also calculated.
The Genetic Algorithm has improved by using two factors, such as Crossover and Mutation.
After applying the Improved Genetic Algorithm the Makespan time were reduced drastically compared to previous Genetic Algorithm.
Various sequences have developed by using C Language and correlate the both manual result and Program result.
At the end of process best sequence have found from the Improved Genetic Algorithm and Makespan times have reduced considerably. 






Mammographic Mass Detection Using Curvelet Moments


Mohamed Meselhy Eltoukhy,


Abstract
: 

The aim of this paper is to introduce a robust CAD system that is able to increase the accuracy rate and reduce the false positive detection rate. This paper presents a system based on calculating the second order moment (variance) for the task of mass detection in digital mammogram. The goal is to develop a feature vector which is able to provide an accurate discrimination between the mass and normal tissues. The feature vectors are investigated in terms of their capability to achieve the classification task using Random Forests with 10fold cross validation. The proposed system has been tested using 1515 images from Image Retrieval in Medical Applications (IRMA) dataset and 265 images from Mammographic Image Analysis Society (MIAS) dataset. The study shows that the second order moment can be used efficiently for mammographic mass detection with accuracy of 100%. 






An Effective Approach for solving MHD Viscous Flow Due to A Shrinking Sheet


Mourad S. Semary,
Hany N. Hassan,


Abstract
: 

In this paper, we present an effective technique combined between homotopy analysis method and traditional Pad´e
approximation socalled (HAM Pad´e), the technique to obtain the analytic approximation solution of a certain type of nonlinear
boundary value problem with one boundary condition at infinity. The analytic series solution obtained from the homotopy analysis
method and the Pad´e diagonal approximation to handle the boundary condition at infinity. This technique apply to the boundary value
problem resulting from the magnetohydrodynamic (MHD) viscous flow due to a shrinking sheet. The proposed technique success to
obtain the two branches of solutions for important parameter. Comparison of the present solution is made with the existing solution and
excellent agreement is noted. 






Akaike Information Criterion and FourthOrder Kernel Method for Line Transect Sampling (LTS)


Ali Algarni,
Ahmad Almutlg,


Abstract
: 

Parametric and noparametric approaches were used to fit line transect data. Different parametric detection functions are
suggested to compute the smoothing parameter of the nonparametric fourthorder kernel estimator. Among the different candidate
parametric detection functions, the researcher suggests to use Akaike Information Criterion (AIC) to select the most appropriate one of
them to fit line transect data. More specifically, four different parametric models are considered in this research. Where as two models
were taken to satisfy the shoulder condition assumption, the other two do not. Once the appropriate model is determined, it can be used
to select the smoothing parameter of the nonparametric fourthorder kernel estimator. As the researcher expected, this technique leads
to improve the performances of the fourthorder kernel estimator. For a wide range of target densities, a simulation study is performed
to study the properties of the proposed estimators which show the superiority of the resulting proposed fourthorder kernel estimator
over the classical kernel estimator in most considered cases. 






Median and Extreme Ranked Set Sampling for penalized spline estimation


Ali Algarni,


Abstract
: 

This paper improves and demonstrates two approaches of Ranked Set Sampling (RSS) method for penalized spline models
which are Median and Extreme RSS. These improved methods increase the efficiency of the estimated parameters in the targeted model
with comparing to usual RSS and Simple Random Sampling (SRS). Moreover, in practical studies, our improved methods can reduce
sampling expenses dramatically. The paper approaches are illustrated using a simulation study as well as a practical example. 






Control of Quantum and Classical Correlations in Wernerlike States Under Dissipative Environments.


A.B. A. Mohamed.,


Abstract
: 

Quantum and classical correlations are studied for Wernerlike state interacting with a thermal reservoir. Starting from Wernerlike states, we have shown that entanglement sudden death and decay of both the quantum discord and classical correlation are accelerated by the different factors: thermal photons, cavity decay and the purity of the initial state. By these factors, the deathstart points of the correlations can be controlled and the twoqubit states have no correlations that can be determined. There is no sudden death for quantum discord and classical correlation. 






Visualisation of a ThreeDimensional (3D) Object’s Optimal Reality in a 3D Map on a Mobile Device


Adamu Abubakar,
Akram M. Zeki,
Haruna Chiroma,
Sanah Abdullahi Muaz,
Mueen Uddin,
Nadeem Mahmood,
Tutut Herawan,


Abstract
: 

Prior research on the subject of visualisation of threedimensional (3D) objects by coordinate systems has proved that all
objects are translated so that the eye is at the origin (eye space). The multiplication of a point in eye space leads to perspective space, and
dividing perspective space leads to screen space. This paper utilised these findings and investigated the key factor(s) in the visualisation
of 3D objects within 3D maps on mobile devices. The motivation of the study comes from the fact that there is a disparity between
3D objects within a 3D map on a mobile device and those on other devices; this difference might undermine the capabilities of a 3D
map view on a mobile device. This concern arises while interacting with a 3D map view on a mobile device. It is unclear whether
an increasing number of users will be able to identify the real world as the 3D map view on a mobile device becomes more realistic.
We used regression analysis intended to rigorously explain the participants’ responses and the Decision Making Trial and Evaluation
Laboratory method (DEMATEL) to select the key factor(s) that caused or were affected by 3D object views. The results of regression
analyses revealed that eye space, perspective space and screen space were associated with 3D viewing of 3D objects in 3D maps on
mobile devices and that eye space had the strongest impact. The results of DEMATEL using its original and revised version steps
showed that the prolonged viewing of 3D objects in a 3D map on mobile devices was the most important factor for eye space and a
long viewing distance was the most significant factor for perspective space, while large screen size was the most important factor for
screen space. In conclusion, a 3D map view on a mobile device allows for the visualisation of a more realistic environment. 






A bandwidth efficient video conferencing system for streaming gesture based video using a Pareto minimal approach to DHOHSI individuals


S. Swarna Parvathi,
K.S.Easwarakumar,
N. Devi,
Raju Das,


Abstract
: 

Deaf, HardOfHearing and SpeechImpaired (DHOHSI) individuals have a specific interest in the development of
affordable highquality videoconferencing as a means of communicating with their family members and peers using sign language.
Unlike Video Relay Service, which is intended to support communication between a caller using sign language and another party using
spoken language, videoconferencing can directly be used either between two deaf signers or between a caller using sign language and
the other using spoken language without the need of an interpreter. This paper proposes a Bandwidth Aware Gesture Based Layered
(BAGBL) framework for sign language recognition based video conferencing application. Assuming a DHOHSI individual at the
sender side, the proposed framework uses shape energy trajectory of hand sign gesture for video layering, a Multidimensional Multiplechoice
Knapsack Problem (MMKP) based gradational hull pareto minimization heuristic called MMKP based Pareto Minimization
Heuristic for Substream Scaling (MPMHSS) and a heuristic for substream scheduling which is based on Dynamic Multilevel Priority
(DMP) called Modified DMP packet scheduling (MDMP) mechanism. At the receiving side, our framework includes an automatic
sign language recognizer to recognize the sign language gesture and a speech synthesizer to convert the recognized words to speech.
Our framework intelligently forms and selects video layers from a video sequence to maximize the video quality. Using extensive
simulation and mathematical analysis we show that the proposed solution: (i) is efficient in terms of recognition rate (ii) achieves high
radio resource utilization, (iii) maximizes the received video quality. 






The Development of a Prototype of the Campus Guide Mobile Application


Jaegeol Yim,
Jaehun Joo,
Gyeyoung Lee,
Kyubark Shim,


Abstract
: 

We have developed a socalled campus guide mobile application running on Android smart phones. Nowadays, a smart
phone is equipped with many sensors  some of them are pretty accurate, a powerful processor, and large capacity secondary memory
devices. Making use of these features of smart phones, we have made the campus guide a locationbased service in that it determines
where the user is located, which building the user is interested in, and plays the video which is related to the building. Our implementation
of the application is briefly described in this paper. 






A completely monotonic function involving the gamma and trigamma functions


Feng Qi,


Abstract
: 

In this paper we provide necessary and sufficient conditions on $a$ for the function
$
\frac{1}{2}\ln(2\pi)x+\bigl(x\frac{1}{2}\bigr)\ln x\ln\Gamma(x)+\frac1{12}{\psi(x+a)}
$
and its negative to be completely monotonic on $(0,\infty)$, where $a\ge0$ is a real number, $\Gamma(x)$ is the classical gamma function, and $\psi(x)=\frac{\Gamma(x)}{\Gamma(x)}$ is the digamma function. As applications, some known results and new inequalities are derived. 






Quantum information of two threelevel trapped ions irradiated by laser beams


M. AbdelAty,
F. N. M. AlShowaikh,


Abstract
: 

Quantum information of two particles taking into account the timedependent laser field
is discussed. Considering the initial pure state of the ions, we discuss the properties of
the entanglement due to the concurrence and quasiprobability distribution via Wigner
function. Although, the results are presented in a general framework, we have realized
controllable coupling between the qubit and field by inserting an additional factors
between them. 






An Online Analytical Data Mining (OLAM) Prototype for Telecommunication Data Mining International Calls


A. Darwish and Sapna Tyagi,


Abstract
: 

In Nowadays, the telecommunication market is rapidly expanding and becoming highly competitive especially in international calls. The telecommunication companies have several millions of daily international call records. The huge corpus of database could be used to study the trend of customer. The main objective of this paper is to develop a model to decision system support. One of the main problems addressed in this paper is the shortage of quickly and accurate tool to process these data using data mining techniques. In this paper we designed an Online Analysis Data Mining (OLAM) prototype to help in the analysis of telecommunication data to support decision makers using Microsoft SQL server 2005 and SSAS 2005. We have also used association rules, clustering, Naïve Bayes, decision tree, and linear regression which have given us different views to the same data. 






A new triangulation algorithm from 3D unorganized dense point cloud


xiaopeng wei,


Abstract
: 

This paper presents an algorithm for triangular mesh generation from
unorganized points based on 3D Delaunay tetrahedralization and meshgrowing
method. This algorithm requires the point density to meet the wellsampled condition
in smooth regions and dense sampling in sections of a great curvature and two close
opposite surfaces. The principle of the algorithm is as follows. It begins with 3D
Delaunay tetrahedralization of all sampling points. Then extract part of triangles
belonging to the surface as the seed facets according to the rough separation
characteristics which based on the angle formed by the circumscribing balls of
incident tetrahedrons. Finally, the algorithm grows the seed facets from front triangles
to all triangles of the surface. This paper shows several experimental results which
explain this approach is general and applicable to various object topologies. 






Numerical Investigations of Turbulent Liquid Flows through a Centrifugal Impeller by Using StructuralFunction LES


Zhuqing Liu,
Xuelin Tang,
Fujun Wang,
Yaojun Li,
Yulin Wu,


Abstract
: 

Based on secondorder structural functions, a subgrid eddy viscosity model is proposed for Large Eddy Simulation (LES) of turbulent flows through a centrifugal impeller in a rotating coordinate system. The current model is based on the modified KarmanHowarth equation of resolved scale turbulence of LES and allows energy transfer between resolved and unresolved scale turbulence, but the subgrid eddy viscosity model is a function of structural functions and measures the ratio of cascade energy to the dissipation. During the simulation, the finite volume method is used to discretize the filtered governing equations, the SIMPLEC algorithm is used to solve the discretized equations and bodyfitted coordinates are used to simulate turbulent flows in complex geometries. The computational results of turbulent flows in a centrifugal impeller are used to illustrate the effectiveness of the model and the predicted relative velocity distributions follow the practical rules of turbulent flows inside an impeller. The simulated pressure is in good agreement with experimental data.







RotationInvariant Texture Image Retrieval Based on Multiscale Geometric Analysis and WARD


Zhengli Zhu,
Chunxia Zhao,
Yingkun Hou,


Abstract
: 

In this paper, we present an effective approach for rotationinvariant texture image retrieval based on multiscale geometric analysis and weighted average relative distance(WARD). The anisotropy of nonsubsampled contourlet transform (NSCT) can help us to represent the texture in image more effectively than traditional orthogonal wavelet transforms. We achieve rotationinvariant features by combining average energy with average standard deviation of all subbands at each NSCT scale. We propose an effective similarity measure, and this measure need not calculate the statistics of the entire image database in advance, so it has much wider application situation, e.g., internet. Experimental results demonstrate that the proposed approach improves retrieval accuracy from 73.3% to 77.6% on the rotated database, compared with DualTreeComplex Wavelet Transform (DTCWT) based approach. 






Doubly Constrained Robust Constant Modulus Algorithm


Xin Song,
Jinkuan Wang,
Qiuming Li,
Han Wang,


Abstract
: 

The constant modulus algorithm (CMA) has been known as blind adaptive beamforming because it requires no knowledge about the signal except that the transmitted signal waveform has a constant envelope. But in practical applications, the performance of the linearly constrained CMA is known to degrade severely in the presence of even slight signal steering vector mismatches. To account for the mismatches, a novel robust CMA algorithm based on double constraints is proposed via oblique projection of signal steering vector and worstcase performance optimization. To improve robustness, the weight vector is optimized to involve minimization of a constant modulus algorithm objective function with penalty for the worstcase signal steering vector by the Lagrange multiplier method, in which the parameters can be precisely derived at each iterative step. Moreover, the online implementation of the proposed algorithm has a low computational load. A theoretical analysis for our proposed algorithm in terms of the choice of step size, convergence perforamnce and SINR performance is presented in this paper. The proposed robust constrained CMA suffers the least distortion from the directions near the desired steering angle, provides a significantly improved robustness against the signal steering vector mismatches, yields better signal capture performance and improves the mean output array SINR as compared with the conventional constrained CMA. The numerical experiments have been carried out to demonstrate the superiority of the proposed algorithm on beampattern control and output SINR enhancement. 






Global Exponential Stability for Hopfield Neural Networks with Varying Delays


Gao Yuan,


Abstract
: 

The main purpose of this paper is to study the global exponential stability of the equilibrium point for a class of Hopfield neural networks with varying delays. A new sufficient condition for the global exponential stability of neural networks is obtained by using Mmatrix analysis. The condition is easy to check in practice. A numerical example is worked out by using the results obtained to illustrate it 






The Evolution of Communication Network Architecture


Jinxin Zhang,
Mangui Liang,
Aqun Zhao,


Abstract
: 

Communication network architecture has experienced tremendous improvement from
the ARPANET to IP with the number and traffic forms of users. Although IP is widely
considered as the platform for future network, unfortunately, it is burdened by its her
itage of several decades. Nowadays, the bottleneck of bandwidth mainly lies in IP
router not links. In this paper, we argue that one of the principal reasons for this is
routing and forwarding planes are coupled together by analyzing the evolution of com
munication network architecture. Then we proposed a new network architecture to pro
vide faster forwarding speed. Simulation scenery shows this architecture is practical.
Furthermore, we compared performance metrics (forwarding speed, length of address
and total cost) with today’s IP network, our results indicate that forwarding speed is
increased 72% of IP, the length of address is much less than IPv4 address and the total
cost can be decreased 76% of the current network. Finally, we discuss several impor
tant issues of the new network architecture including address, network connection and
endtoend QoS as well as architecture extension.







Quaternion Encryption Scheme Modification Resistant to Known Plaintext Ciphertext Attack and its HardwareOriented Implementation


Evgueni Doukhnitch,
Alexander G. Chefranov,
Ahmed Y. Mahmoud,


Abstract
: 

Quaternion encryption scheme (QES) is shown to be susceptible to the known plaintextciphertext attack
(KPCA) due to not proper choice of the frame size and the procedure of secret quaternion updating. In this paper, we
propose a modification of the QES (MQES) which is resistant to the KPCA. The MQES is based on adjusting the
frame size and the quaternion update procedure. An approach for effective hardware (HWQES) implementation of
the proposed algorithm is discussed. The HWQES uses mainly addition and shift operations. Experimental results
show that the proposed MQES and HWQES are sixeight times more effective in the encryption quality of signals
than the original QES. Additionally, MQES is shown to be significantly more effective in the encryption quality of
images than the original QES. Our results show that, the performance of the HWQES is only 10% worse than that
of QES.







Selfish GameTheoretic Approach for Dynamic Spectrum Sharing with Software Defined Radio Networks


Desheng Li,


Abstract
: 

To analyze the dynamic spectrum access of Cognitive Radio Networks (CRN), this paper proposes the selfish gametheoretic
model for multihop networking with wireless nodes, which matches well with the physical administrative structure in reallife situations.
User communication session is investigated via a crosslayer optimization approach, with joint consideration of power control,
scheduling, and routing. Both the channel quality and the spectrum substitutability are discussed. A utility function is built, for the
secondary user to obtain the spectrum demand function. In addition, in terms of spectrum access opportunities, an equilibrium pricing
scheme is presented to shows that it is close to optimal in most scenarios. The proposed Gametheoretic Endtoend Spectrum Sharing
algorithm (GE2SS) highlights the trend of spectrum pricing design that it is not necessarily bad for the network users to behave selfishly.
Simulation and experimental results are presented as verifications. 






High Variability Resilient in NanoScaled Technologies for Low power 7TSRAM Design


Shyam Akashe,
Sanjay Sharma,


Abstract
: 

High variability in nanoscaled technologies can easily disturb the stability of a carefully designed standard 6TSRAM cell, causing access failures during a read/write operation. We propose a 7TSRAM cell to increase the read/write stability under large variations. The proposed design uses a low overhead read/write assist circuitry to increase the noise immunity. Use of an additional transistor and a floating ground allows read disturb free operation. While the write assist circuitry provides a floating ground during a write operation that weakens cell storage by turning off the supply voltage to ground path of the crosscoupled inverter pair. This allows a high speed/low power write operation. Monte Carlo simulations indicate a 200% increase in the read stability and a boost of 124% in write stability compared to a conventional 6TSRAM design, when subjected to random dopant fluctuations, line edge roughness, and polygranularity variations. HSPICE simulations of a 45nm 64x32 bit SRAM array designed using standard 6T and proposed 7T SRAM cells indicate a 31% improvement in write speed, 30% decrease in write power, read power decreases by 60%, and a 44% reduction in the total average power consumption is achieved with the proposed design. 






Numerical Simulations of Circular Anchor Plates under Pullout in Sand


Khairul Anuar Kassim,
Ramli Nazir,


Abstract
: 

This research presents the studies conducted on a
type of soil anchor, a circular anchor plate, and its pullout
capacity. Soil anchors are used as foundation system
for the soil structures that needs to pullout load.
Experimental and numerical analysis investing the
pullout test of 0.1m diameter of circular horizontal
anchor plates in cohesion less soil show that maximum
pullout increase with embedment ratio in sand. This
paper investigated the ultimate pullout capacity of
circular horizontal anchor plate in cohesion less soils
subjected to pullout test in loose sand. An agreement
between pullout loads from chamber box and finite
element modeling using PLAXIS based on 0.4m
analyzed maximum displacements for circular
horizontal anchor plates to embedment ratio of 4. In the
research, The Hardening Soil Model is using in
PLAXIS. The numerical analysis based on PLAXIS
predicted higher pullout load in loose sand due to
experimental results but in final showed a good
agreement with physical results. 






Numerical Analysis of Buried Pipe under Wheel Loads by Three Dimensional at Finite Difference Method (FDM)


Khairul Anuar Kassim,
Ramli Nazir,


Abstract
: 

The behavior of steel pipe during wheel load was
studied in this paper by FLAC 3D. A steel pipe is
buried at a shallow depth beneath a roadway. An
analysis is needed to evaluate the effect of wheel
loading on the road surface deflection and pipe
deformation. The top of the pipe is 1.5m beneath the
road surface. The pipe has an outer diameter of 4m and
is 0.12m thick. The pipe excavation is 15m wide and 6m
depth. The steel pipe is placed on a 0.4m thick layer of
soil backfill, and then soil is compacted around the steel
pipe. The wheel load is increased during failure occurs
in the soil. Soil backfill behavior has been considered
with MohrCoulomb Model in analysis. The analysis
defines the failure load and the resulting soil and pipe
displacement. 




