Proceeding of the Electrical Engineering Computer Science and Informatics
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Bioelectrical measurement for sugar recovery of sugarcane prediction using artificial neural network
Get PDFOne of the problems in the sugar industry is lack of low cost, simple and accurate measurement techniques for sugar recovery of sugarcane in the field or laboratory. This study investigated the potential using of bioelectrical properties as a non-destructive technique for this purpose. A parallel plate capacitor was developed to measure the bioelectric properties of sugarcane in a lateral and longitudinal position of the samples. Eighteen internode samples from 3 sugarcane varieties were measured within 0.1-10 kHz frequency range of LCR meter and then was analyzed sugar recovery in the laboratory. The result showed that in the lateral position are more capacitive and resistive than the longitudinal position. Artificial neural network (ANN) was developed for prediction of sugar recovery as a function of bioelectrical properties. The best ANN model produces a high accuracy in the lateral bioelectrical measurement position with a correlation coefficient (R) > 0.90 and mean square error (MSE) <; 0.05. It showed that the ANN model based on bioelectrical properties had the potential to be developed as a simple technique to predict the sugar recovery of sugarcane
Automated Diagnosis System of Diabetic Retinopathy Using GLCM Method and SVM Classifier
Get PDFDiabetic Retinopathy (DR) is the cause of blindness. Early identification needed for prevent the DR. However, High hospital cost for eye examination makes many patients allow the DR to spread and lead to blindness. This study identifies DR patients by using color fundus image with SVM classification method. The purpose of this study is to minimize the funds spent or can also be a breakthrough for people with DR who lack the funds for diagnosis in the hospital. Pre-processing process have a several steps such as green channel extraction, histogram equalization, filtering, optic disk removal with structuring elements on morphological operation, and contrast enhancement. Feature extraction of preprocessing result using GLCM and the data taken consists of contrast, correlation, energy, and homogeneity. The detected components in this study are blood vessels, microaneurysms, and hemorrhages. This study results what the accuracy of classification using SVM and feature from GLCM method is 82.35% for normal eye and DR, 100% for NPDR and PDR. So, this program can be used for diagnosing DR accurately
Smart Frequency Control using Coordinated RFB and TCPS based on Firefly Algorithm
Get PDFThe frequency stability enhancement of a power system is proposed in this paper. To enhance the frequency stability, redox flow batteries (RFB) and the thyristor controlled phase shifter are used. Moreover, to get a better performance, the parameter of RFB and TCSC are optimized by the firefly algorithm (FA). Two area load frequency control plant is used as a test system. Time domain simulation is used to assess the performance of the proposed method (adding RFB and TCPS and optimized using FA). From the simulation results, it is found that by installing RFB and TCSC based on FA in the system, the frequency performance can be maintained above the nadir when perturbation emerges
The Role of Social User and Social Feature on Recommendation Acceptance in Instagram in Indonesia
Get PDFThis study aims to identify the effect of social features and social users on recommendations acceptance on shopping activities in Instagram. This study uses quantitative approach to process 654 data collected using online questionnaire. The data were analyzed using CB-SEM method and AMOS 21 tools. The results of this study showed that social features and social users give moderating effect on the relationship between social recommendation, cognitive appraisal and affective appraisal. Meanwhile, affective and cognitive appraisal was found to affect purchase intention. The finding shows that the user giving recommendation and the features used to make recommendation can influence the level of recommendation acceptance
Quantitative Strategic Planning Matrix Analysis On The Implementation Of Second Screen Technology
Get PDFA massive technological development requires the company to make strategic changes to compete to survive. In order for companies to survive we need a competitive business advantage to increase Performance Excellence. Similarly, for the PT. Visi Media Asia with its business unit in the field of television, tvOne. In determining and implementing a strategy to compete need to do some analysis. The analytical tool that used in this thesis is IE matrix, SWOT, and QSPM analysis. The internal factor analysis produce the main strength of this company is the company products are loved by people with a score of 0,61. While the company has a major weakness, namely the distribution of technology products is left behind with a score of 0,63. The Merger of internal factors on the company generated an average score of 2,90. External factor analysis (EFAS) generate major opportunities that can be utilized by the company is the development of technology of rapid product distribution with a score of 0,72. While the company's main threat gained from research that people are beginning to switch to digital media than conventional television viewing with a score of 0,63. Merging these two external factors in PT. Visi Media Asia result the average score of 3,12. Based on the SWOT matrix, produced five strategies that can be done by PT. Visi Media Asia on the TV business, tvOne. QSPM processing results is produce the most interesting strategies to be used as a competitive strategy by companies that make technological breakthroughs that can bridging between digital and analog media with TAS value of 7,07
Feature Expansion for Sentiment Analysis in Twitter
Get PDFThe community's need for social media is increasing, since the media can be used to express their opinion, especially the Twitter. Sentiment analysis can be used to understand public opinion a topic where the accuracy can be measured and improved by several methods. In this paper, we introduce a hybrid method that combines: (a) basic features and feature expansion based on Term Frequency-Inverse Document Frequency (TF-IDF) and (b) basic features and feature expansion based on tweet-based features. We train three most common classifiers for this field, i.e., Support Vector Machine (SVM), Logistic Regression (Logit), and Naïve Bayes (NB). From those two feature expansions, we do notice a significant increase in feature expansion with tweet-based features rather than based on TF-IDF, where the highest accuracy of 98.81% is achieved in Logistic Regression Classifier
Robust Adaptive Sliding Mode Control Design with Genetic Algorithm for Brushless DC Motor
Get PDFThis study aims to design a control scheme that is capable to improve performance and efficiency of brushless DC motor (BLDC) in operating condition. The control scheme is composed of sliding mode controller (SMC) with proportional-integral-derivative (PID) sliding surface. The PID sliding surface is used to improve the system transient response. Then, the SMC-PID is optimized by genetic algorithm optimization for further improvement on the stability and robustness against nonlinearities and disturbances. Chattering problem that appear in the SMC is minimized by employing an adaptive switching gain for the SMC that is integrated with Luenberger Observer. Lyapunov function candidate is applied to guarantee the stability of the system. Simulation on the proposed work is done in Matlab Simulink. Results of the simulation works indicate that the proposed control scheme can improve the transient response, the stability and robustness of the BLDC motor compared to the conventional SMC in the existence of nonlinearities and disturbances
Sensorless PMSM Control using Fifth Order EKF in Electric Vehicle Application
Get PDFThis paper is intended to design a controller and an observer of a sensorless PMSM (permanent magnet synchronous motor) in electric vehicle application. The controller uses the field orientation control (FOC) method and the observer type is the fifth order extended Kalman filter (EKF). The designed controller and observer are tested by varying the elevation angle of the route that is several times abruptly changed. The simulation result shows that the designed controller and observer can respond to the elevation angles given
Multispectral Imaging and Convolutional Neural Network for Photosynthetic Pigments Prediction
Get PDFThe evaluation of photosynthetic pigments composition is an essential task in agricultural studies. This is due to the fact that pigments composition could well represent the plant characteristics such as age and varieties. It could also describe the plant conditions, for example, nutrient deficiency, senescence, and responses under stress. Pigment role as light absorber makes it visually colorful. This colorful appearance provides benefits to the researcher on conducting a nondestructive analysis through a plant color digital image. In this research, a multispectral digital image was used to analyze three main photosynthetic pigments, i.e., chlorophyll, carotenoid, and anthocyanin in a plant leaf. Moreover, Convolutional Neural Network (CNN) model was developed to deliver a real-time analysis system. Input of the system is a plant leaf multispectral digital image, and the output is a content prediction of the pigments. It is proven that the CNN model could well recognize the relationship pattern between leaf digital image and pigments content. The best CNN architecture was found on ShallowNet model using Adaptive Moment Estimation (Adam) optimizer, batch size 30 and trained with 15 epoch. It performs satisfying prediction with MSE 0.0037 for in sample and 0.0060 for out sample prediction (actual data range -0.1 up to 2.2)
Measurement of Thermal Expansion Coefficient on Electric Cable Using X-Ray Digital Microradiography
Get PDFElectric cable is a medium to conduct electrical energy. Expansion and contraction caused by thermal changes may result in an aging effect on the cable. This paper presents the way to observe the expansion in electrical cable due to thermal changes using the x-ray microradiography. The observed electric cables were NYA, NYAF, and NYM, each with cross-sectional areas of 1.5 mm 2 and 2.5 mm 2 . The temperature was monitored using a DS18B20 sensor compiled into a microcontroller. In order to process and analyze the cables images, an ImageJ software was used. The image differences were compared based on the value of the digital image correlation. The physical analysis was carried out based on Adrian's FWHM and calculated using the regression method. The accurate structural dimension measurement using x-ray digital microradiography is about 50 μm/pixel. The average relative error measured was less than 3%