Kurdistan Journal of Applied Research (KJAR)
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Design and Implementation of Smart Home Energy Management System Based on GSM Network
Get PDFThe aim of this research is to design and implement a prototype of a home energy management system based on SMS service on GSM network. The proposed system can remotely monitor and control the home appliances using a mobile phone. The proposed system consists of a microcontroller connecting home appliances and lighting through sensors and relays. The microcontroller is also connected with a GSM module to support this system operate with an existing GSM network. This system is implemented using a GSM module that is connected with the personal computer representing the designed microcontroller. The home appliances, sensors and relays are modeled and simulated using Visual Basic programs. Software programs are developed and built into the personal computer to activate and control the home appliances according to received commands from the user mobile phone or to monitor and send their status to the mobile phone according to user request. The implemented system is tested practically with several cases at different times and it operates successfully with reasonable flexibility and secure operation. A good compatibility of the developed programs is achieved, since the system is running continuously without interruption under normal conditions of GSM network operation. It is found that the execution times for control and monitoring massages are 19.63 seconds and 19.33 seconds respectively
Corrosion Behavior of Recycling Al- Alloy Based Metal Matrix Composites Reinforced by Nano particles
Get PDFThe present work aims to preparation and investigation of the corrosion behavior of recycling Al alloy based metal matrix composite reinforced with nano SiC with weight percentage (2%, 4%, 6%, and 8%) and particle size 52 nm were evaluated. The composites were fabricated using liquid metallurgy (stir casting process). The corrosion rates of composites were calculated using potentiostatic measurements in 3.5% NaCl solution.. The results showed that Al/SiC nanocomposites have higher corrosion resistance than aluminum matrix.The corrosion resistance was found to be increased by increasing of the weight percentage of the nanoparticles The Al/8% nano (SiC)P composites exhibited the highest corrosion resistance among all the investigated nanocomposites. The microstructure indicate that the strong interfacial bonding between the matrix alloy and reinforcement
EOG signal Modeling using Double Exponential Smoothing for Robot Arm Control System
Get PDFThis paper present a novel way of modeling EOG signal to use in a robot arm control system, two procedures implemented, offline procedure to measure and modeling EOG for building a pattern reference model ,and online procedure used to Control the robot arm. By comparing online measured EOG and the EOG pattern in reference model suitable manipulation instruction generated by the micro controller. The double exponential smoothing method used for building the pattern reference model, the accuracy of the reference model tested with main squire error (MSE) and main absolute error (MAPE) measures. Auto correlation analysis applied to study the existing pattern and linearity of EOG signal with eye movements. EOG signal measurement for this research classified in to five kinds: EOG horizontal (left and right) Vertical (up and down), and blinking. The EOG signal models of this research saved and used as a reference model file to classify the eye movements. a measurement and robot arm control system constructed by using arduino olimix 328, olimix sensor shield, and robot arm driving circuit, arduino C used as a programming environment, Minitab software used to build the model and correlation analysis ,Brain Bay software used to control and signal processing
Feature Selection and Radial Basis Function Network for Parkinson Disease Classification
Get PDFRecently, several works have focused on detection of a different disease using computational intelligence techniques. In this paper, we applied feature selection method and radial basis function neural network (RBFN) to classify the diagnosis of Parkinson’s disease. The feature selection (FS) method used to reduce the number of attributes in Parkinson disease data. The Parkinson disease dataset is acquired from UCI repository of large well-known data sets. The experimental results have revealed significant improvement to detect Parkinson’s disease using feature selection method and RBF network
Biochar and Nitrogen Fertilizers Effects on Growth and Flowering of Garland Chrysanthemum (Chrysanthemum Coronarium L.) Plant
Get PDFThis experiment was conducted to study the effect two types of biochar and nitrogen fertilizers amendment, with different rates on morphological attributed of garland chrysanthemum plant. Two different types of biochar (BT) Eucalyptus biochar (EB), and Salix biochar (SB), four biochar rates- BR (at 0, 1, 2 and 3%), and three rates of nitrogen fertilizer- NR (0, 140 and 280 mg kg-1) with three replications on plant growth were used in this research. The (Chrysanthemum coronarium L.) was used as a test plant to study some morphological characters including: Plant Height (PH) cm, Fresh Weight Per Plant (FWP) g, Number of Leaves Per Plant (NLP), Stem Diameter (SD) cm, Flower Diameter (FD), Number of Flower Per Plant (NFP) and Number of Flower Bud Per Plant (NFBP) cm. The Double Barrel Design was used for making biochar by pyrolysis system. The experiment was conducted in the plastic house condition. The results showed that biochar applications at a rate of 3%, significantly increase PH, FWP, NLP, SD, FD, and NFBP, while NFP increased only at 2% biochar application and decrease at the 3% rate. The application of 280 mg kg-1 of nitrogen significantly increased all of the parameters. The plant grown in the soils amended with the EB were higher than grown in the soils of the SB. In addition, the best value in the study was observed were biochar combined with nitrogen fertilizers
Distribution of Gypsiferous Soil Using Geoinformatics Techniques for Some Aridisols in Garmian, Kurdistan Region-Iraq
Get PDFThe paper deals with techniques of image classification developed to distinguish gypsiferous soils, using the integration of field observation and remote sensing and more specific Landsat/ETM imagery. A Landsat image was assembled and used in this study. The image was acquired by the ETM/Landsat 7 sensor, which was acquired on August, 2012.Two main data have been used in this research, I) Field and II) Satellite data. The amount of gypsum is different from location to other, may be due to the parent material of some locations of the study area which is rich with gypsum minerals, and there is evidence of Gypsic indopedon horizon. The results indicated that the amount of organic matter decreases with increasing the amount of gypsum. In general, the study area is rich with total lime. These results reflect the effect of decalcification and calcification processes caused the formation of illuvial subsurface (calcic) horizon in some location of the study area.The pH values were around neutral to slightly alkaline due to the effect of calcareous parent material and type of climatic conditions. The low ECe values indicate that the soil was non-saline reflected by low values of ECe. The soil classes of the study area are belonging to Haplogypsids, Haplocalcids, Haplocambids, Calciargids and Haplargids. Two maps were prepared to show the distribution of gypsiferous in the study area, the first one is map which shows the output of supervised classification and maximum- like hood for specific, and the second is the thermal-based classification. Thermal-based map could predict the gypsiferous area in a better way, than the classification based only on spectral properties of non-thermal bands
Prevalence of Color Vision Deficiency among Students in Hajand and Amad High Schools in Shekhan City
No full textColor vision deficiency is a condition affecting human's ability to see or recognize specific colors. It is mostly genetic, X-linked recessive inheritance and thus, is more common among males than females. This cross sectional study was done to find the prevalence of color vision deficiency among high school students in Shekhan city and to find the relation of color vision deficiency with different races. The study has been conducted in two high schools that were present inside Shekhan city at the time of the study (Amad high school for males and Hajand high school for females). All students screened by using Ishihara 24 plates.640 students (283 males, 357 females) were screened. Students' age range (15-22 years), the Mean age for males17.50 years and for females 17.13 years. The prevalence of Color Vision Deficiency was 6.36% among males and 0.84% among females. The most common types of Color Vision Deficiency among males were deuteranomaly (10cases),protanomaly (5 cases), deuteranopia (2 cases) and protanopia (1 case). There was no significant difference between races and color vision deficiency. Similar to dyslexia, before it was well known and well understood, color vision deficiency is aninvisible disability and can lead to students becoming disappointment with learning or feeling that they are moronic or less cable than others. It can provide erroneous rules for learning and indeed, even influence how well they do in their exams and consecutively their choice of career
Comparative Study of Classification Techniques For Large Scale Data - Case Study
Get PDFThe existence of Massive datasets that are generated in many applications provides various opportunities and challenges. Especially, scalable mining of such large-scale datasets is a challenging issue that attracted some recent research. In the present study, the main focus is to analyse the classification techniques using WEKA machine learning workbench. Moreover, a large-scale dataset was used. This dataset comes from the protein structure prediction field. It has already been partitioned into training and test sets using the ten-fold cross-validation methodology. In this experiment, nine different methods have been tested. As a result, it became obvious that it is not applicable to test more than one classifier from the (tree) family in the same experiment. On the other hand, using (NaiveBayes) Classifier with the default properties of the attribute selection filter has a great time consuming. Finally, varying the parameters of the attribute selections should be prioritized for more accurate results
Improving accuracy of missing data imputation in data mining
Get PDFIn fact, raw data in the real world is dirty. Each large data repository contains various types of anomalous values that influence the result of the analysis, since in data mining, good models usually need good data, databases in the world are not always clean and includes noise, incomplete data, duplicate records, inconsistent data and missing values. Missing data is a common drawback in many real-world data sets. In this paper, we proposed an algorithm depending on improving (MIGEC) algorithm in the way of imputation for dealing missing values. We implement grey relational analysis (GRA) on attribute values instead of instance values, and the missing data were initially imputed by mean imputation and then estimated by our proposed algorithm (PA) used as a complete value for imputing next missing value.We compare our proposed algorithm with several other algorithms such as MMS, HDI, KNNMI, FCMOCS, CRI, CMI, NIIA and MIGEC under different missing mechanisms. Experimental results demonstrate that the proposed algorithm has less RMSE values than other algorithms under all missingness mechanisms
Study of Optical Fiber Design Parameters in Fiber Optics Communications
Get PDFFiber optics is an important part in the telecommunication infrastructure. Large bandwidth and low attenuation are features for the fiber optics to provide gigabit transmission. Nowadays, fiber optics are used widely in long distance communication and networking to provide the required information traffic for multimedia applications. In this paper, the optical fiber structure and the operation mechanism for multimode and single modes are analyzed. The design parameters such as core radius, numerical aperture, attenuation, dispersion and information capacity for step index and graded index fibers are studied, calculated and compared for different light sources