SUST Journal Systems (Sudan Univ. of Science and Technology)
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A Big-Bang Big-Crunch Type-2 Fuzzy Logic-based System for Malaria Epidemic Prediction in Ethiopia
Get PDFABSTRACT- Malaria is a life-threatening disease caused by Plasmodium parasite infection with huge medical, economic, and social impact. Malaria is one of a serious public health problem in Ethiopia since 1959, even if, its morbidity and mortality have been reduced starting from 2001. Various studies were conducted to predict the Malaria epidemic using mathematical and statistical regression approaches, nevertheless, they had no learning capabilities. In this paper, we presented a type-2 fuzzy logic-based system for Malaria epidemic prediction (MEP) in Ethiopia which has been optimized by the Big-Bang Big-Crunch (BBBC) approach to maximizing the model accuracy and interpretability to predict for the future occurrence of Malaria. We compared the proposed BBBC optimized type-2 fuzzy logic-based system against its counterpart T1FLS, non-optimized T2FLS, ANFIS and ANN. The results show that the optimized proposed T2FLS provides a more interpretable model that predicts the future occurrence of Malaria from one up to three months ahead with optimal accuracy. This helps to answer the question of when and where must make preparation to prevent and control the occurrence of Malaria epidemic since the generated rules from our system were able to explain the situations and intensity of input factors which contributed to the Malaria epidemic and outbreak
Numerical Solution and Stability for Model of Extensible Beam
Get PDFIn this paper, numerical methods (finite differences methods for explicit and implicit) has been applied, to solve nonlinear partial differential equations. In methodology, the beam was divided into very smaller squares, then the study discussed three partial differential equations generating from model. The first equation called longitudinal vibrations of a beam, second equation known as transverse vibrations of a beam and then the third equation considered the extensible beam. The equation of extensible beam was defined by Woiniwsky- Krieger as a model for transverse deflection of an extensible beam of natural length. The study discussed the stability of these models (longitudinal vibrations, transverse vibrations and extensible beams). The stability solution has been counted and considered unconditionally for implicit method, but it's conditional for an explicit method. Obtaining the stability and convergent solution for longitudinal vibrations of a beam if width divisions is less than length divisions (
The Effect of Using Red Brick Waste on Some Mechanical and Thermal Properties of Recycled Aggregate Concrete in Syria
No full textIn this study, the effect of using crushed red brick waste on some mechanical and thermal properties of recycled aggregate concrete in Syria such as pressure resistance, tensile strength, elastic modulus, thermal conductivity has been studied. Where a portion of coarse aggregate (gravel) and coarse sand up to the diameter of 2.38 mm included in the composition of the reference concrete mixture aggregate (consisting of 30% recycled gravel and 70% natural limestone gravel) has been replaced by crushed red brick aggregate by 20%, 40%, 60%, 100%. After implementing these mixtures, some of the resulted concrete properties such as: density, compressive strength, bending strength, splitting strength, as well as thermal conductivity has been measured.
The results showed that compressive, bending, and splitting strength increase with the increase in of red brick replacement ratio to a maximum value, and then decreasing, where the replacement ratios of 45%, 72%, and 70%, respectively correspond with compressive, bending, and splitting maximum strength.
concrete mixtures with a thermal conductivity less than 0.3 W / m.K have been obtained, which can be considered as heat insulating according to Syrian Thermal Insulation Code, thus it can be used to insulate walls and ceilings, these mixtures contain crushed red brick aggregate ratio greater than 52% in their coarse aggregate (gravel) and sand up to the diameter of 2.38 mm.
The results also showed that thermal conductivity more sharply decrease than the conductivity calculated by relation given by ACI as the replacement ratio increase. A similar new relation has been found for the thermal conductivity of concrete mixes containing red brick aggregate
Recognition of Correct Pronunciation for Arabic Letters Using Artificial Neural Networks
Get PDFAutomatic speech recognition (ASR) plays an important role in taking technology to the people. There are numerous applications of speech recognition such as direct voice input in aircraft, data entry and speech-to-text processing. The aim of this paper was to develop a voice-learning model for correct Arabic letter pronunciation using machine learning algorithms. The system was designed and implemented through three different phases: signal preprocessing, feature extraction and feature classification. MATLAB platform was used for feature extraction of voice using Mel Frequency Cepstrum Coefficients (MFCC). Matrix of MFCC features was applied to back propagation neural networks for Arabic letter features classification. The overall accuracy obtained from this classification was 65% with an error of 35% for one consonant letter, 87% accuracy and an error of 13% for 10 isolated different letters and 6 vowels each and finally 95% accuracy and an error of 5% for 66 different examples of one letter (vowels, words and sentences) stored in one voice file
Numerical Investigation of Flexible Airfoil Aerodynamics
Get PDFA commercial CFD solver is used to simulate the unsteady aerodynamics performance of rigid and flexible wing airfoils for a high-performance jet trainer aircraft. The configuration used in the computational analysis is NACA 64012. In the numerical simulations the turbulence is modeled by enhancing Spalart-Allmaras turbulence model. To simulate the fluttering motion of the upper surface, an algorithm written in C computer language is integrated with the Fluent. The program controls the oscillation of the upper suction surface to specific defined displacement and the mesh dynamic that adjacent to the moving surface of the airfoil. The numerical experiments for both, rigid and flexible airfoils are carried out at flight speed of 85 m/s and angle of attack from zero to 18 degree. In order to verify the results of numerical simulation, the solver is validated against prior experiment of a lift coefficient. In comparison between rigid and flexible airfoils, the aerodynamic forces produced by a flexible airfoil shows that the lift coefficient is increased by 10% for angle of attack ranging from the incidence degree to 10 degree and then decreased slightly till the stall angle located at 16 degree. The flow separation in rigid airfoil is predicted at 7.5% of airfoil chord, whereas in the flexible airfoil it is at 59% of the airfoil chord
Modeling the Barrier In Sedimentation Basin with Computer Fluid Dynamics Methodology
No full textAbstract: Gravity sedimentation is widely used in water purification plants to remove suspended solids. The problem is that the detention-time is not enough to achieve the efficient removal of suspended solids, this is due to the formation of water eddies that cause water exit the tank too quickly (short-circuiting). This research is an analytical work uses the ANSYS FLUENT program. Using CFD methodology, which is the abbreviation of Computational Fluid Dynamics. It depends on the method of finite elements, and the experimental approach through a laboratory study of a rectangular sedimentation basin equipped with a baffle. The research objectives are: 1) to find the best ratio d / L, where d is the distance of baffle from the inlet and L is the length of the basin of seven variable proportions (d / L = 0.1, 0.12, 0.125, 0.13, 0.14, 0.15 and 0.2). 2) Studying the installation of the baffle for nine variable angles, (θ = 30 °, 45 °, 60 °, 75 °, 90 °, 105 ° , 120 °, 135 ° and 150 °).3) Determine the optimum angle θ to the horizon. The research concluded that: 1) The best compatibility ratio d / L = 0.125 where the value of the eddies was 6.23 ·10-3 pa.s. This corresponds to the sedimentation efficiency of 88.72%. 2) The best angle to fix the baffle is 60 ° to the horizon; the value was 6.162 ·10-3 pa.s. This corresponds to the sedimentation efficiency of 89.18%. When baffle is not provided, the value of eddies was 40.01 ·10-3 pa.s. This corresponds to the sedimentation efficiency of 54.36%. The efficiency has decreased about 34.5%. Results showed agreement between Laboratory studies and the analytical study through modeling parameters in the ANSYS FLUENT program with a CFD methodology
Study of High Pressure Heaters and Its Influence on Operation Cost in Power Plants: Case Study Garri -4
Get PDFElectricity is one of the most important achievements that modern sciences have given to mankind. It became a part of modern life and one cannot think of a world without it. It has many uses in our daily life. Recently, in Sudan, there are some problems related to its continuity and availability of electrical and thermal power generation. This paper presents a part of the solution for the generation of thermal power for Garri-4. The characteristics of electrical energy are sustainability, easy transmission, and easy utilization. All these factors make electrical energy desirable. The main problem of electrical power is the high cost of production due to the high cost of fuel. Through the centuries, there is a lot of work done to reduce the energy cost, by rising up the efficiency and increase the performance of the systems. This paper shows the effect of high-pressure (HP) heaters out of service in the Garri-4 power plant. It aims to investigate the influence of HP heaters on the power plant's overall performance. The mathematical modeling is used through thermodynamic and heat transfer equations to study the efficiency and the operation cost for the power plant. The paper concludes that HP heaters have a clear influence on the power plant performance by increasing the overall power plant efficiency and reduce the operation cost. It also makes it less harmful to the environment through less emission due to less fuel consumption. There is an increase the overall power plant efficiency by 3.78% , 1.03%., and 2.56%, from 27.67%, for different cases studied in this paper
سلوك هيكل اٍنشائي خرساني عرضة للانفجار على الارض
No full textالسدتخمص في الديشاريه الحالي، تت ا ديج الأنذطة الإرىابية يهما بعج يهم وتدتيجف بذكل أساسي اليياكل والاماكن السددحسة. وعسهما لم يتم -
ترسيم السباني لسقاومة احسال الانفجار حيث ىحه الأحسال تدبب أض ا خ ا ر مجمخة لمعشاصخ الييكمية أو تؤدي إلى انييار السباني . وبالتالي، من
الزخوري فيم أداء السباني الييكمية تحت تأثيخ الاحسال الجيشاميكية الشاجسة عن الانفجار لسعخفة العشاصخ التي ىي بحاجة لمتجعيم. في ىحا العسل،
تم د ا رسة سمهك بشاء ىيكمي م ؤلف من 5 طهابق+ قبه يخزع لستفجخ من نهع )eXplosive Research Department( RDX
او) cyclonite ( وبذحشة 150kg . تم تحجيج متغي ا خت السخحمة الإيجابية لمحسل الستفجخ من مدافات مهاجية مختمفة وفق الجليل الأمخيكي UFC3-340-02[5] ووفق الكهد اليشجي IS:4991-1968[6] حيث تم اج ا خء التحميل الدتاتيكي الخطي باستخجام بخنامج ETABS2016 تم
تحجيج 1.الاندياح في الطهابق 2. القهى في الاعسجة والجهائد 3. انتقال السبشى بهاسطة بخنامج ETABS2016 ، لهحع من نتائج ىحه الج ا رسة أنو
بالحفاظ عمى شجة شحشة الانفجار وتغيخ مدافة السهاجية أن الييكل يكهن أمش ا عشج مدافة مهاجي
A Type-2 Fuzzy Logic Based System for Malaria Epidemic Prediction in Ethiopia
Get PDFMalaria is the most prevalent mosquito-borne disease throughout tropical and subtropical regions of the world with severe medical, economic, and social impact. Malaria is a serious public health problem in Ethiopia since 1959, even if, its morbidity and mortality have been reduced starting from 2001. Various studies were conducted to predict the malaria epidemic using mathematical and statistical approaches, nevertheless, they had no learning capabilities. In this paper, we present a Type-2 Fuzzy Logic Based System for Malaria epidemic prediction in Ethiopia which was trained using real data collected throughout Ethiopia from 2013 to 2017. Fuzzy Logic Based Systems provide a transparent model which employs IF-Then rules for the prediction that could be easily analyzed and interpreted by decision-makers. This is quite important to fight the sources of Malaria and take the needed preventive measures where the generated rules from our system were able to explain the situations and intensity of input factors which contributed to Malaria epidemic incidence up to three months ahead. The presented Type-2 Fuzzy Logic System (T2FLS) learns its rules and fuzzy set parameters from data and was able to outperform its counterparts T1FLS in 2% and ANFIS in 0.33% in the accuracy of prediction of Malaria epidemic in Ethiopia. In addition, the proposed system did shed light on the main causes behind such outbreaks in Ethiopia because of its high level of interpretabilit
Analysis of Weibull Statistic Features Impact on Image Degradation Measurement
Get PDFThe traditional concept of quality of service (QoS) which focuses on network performance (e.g. packet loss, throughput, and transmission delay), recently has been grown towards the modern concept of quality of experience (QoE). This reflects all user practice including accessing and service provided. In order to maintain the required QoE, it’s necessary for the service provider to recognize and measure image degradation. This study provides different features in order to assess degraded image quality blindly depending on Weibull statistics. Also, it presents a comparison analysis to give the more performing one. The introduced features are originated from the gist of natural scenes (NS) using Weibull distribution of Log-derivatives. These measuring features were collected through both sharper and rich edging regions of the images. Besides, Weibull features were developed by maximum likelihood estimation (MLE) parameters to improve the quality assessment. LIVE database used to calibrate the proposed features achievement. Experiments prove Weibull statistics the best among popular full-reference peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) methods. Also, they show Weibull features extracted by means of sharper regions are the best when assess the prediction monotonicity. While applying the prediction accuracy evaluation come up with a good performs when taking the improved Weibull features via sharper regions