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31,456 Article Results

Development of solar panel cleaning robot using Arduino

10.11591/ijeecs.v19.i3.pp1245-1250
Faridah Hanim Binti Mohd Noh , Muhamad Faizal Yaakub , Ili Najaa Aimi Mohd Nordin , Norain Sahari , Nor Aira Zambri , Sim Sy Yi , Muhammad Syukri Mohd Saibon
Solar power is mainly harnessed from photovoltaic (PV) panels which are arranged in multiple arrays in a solar farm or solar system. Though, power generation from PV solar system is characterised by uncertain efficiency, many countries with high insolation prefer solar as an alternative way of generating clean energy. However, the efficiency of energy generated from PV panels is affected by the accumulation of dust and debris, even on one panel in an array. This condition leads to the need for regular cleaning of the surface of PV panels. Current labour-based cleaning methods for photovoltaic arrays are costly in time, water and energy usage as well as lacking in automation capabilities. To overcome this problem, a fully automatic solar panel cleaning system with/without water is proposed. Hence, in this paper, the design of a robot for automated cleaning of the surface of PV panel is presented. The design utilizes an Arduino controller system to control the robot movement during the cleaning process. In addition, it is equipped with two rough sponge and a water pump system that can be used to clean dust or debris found on PV panel surfaces. The efficiency of the PV panels before and after the cleaning process is also observed. The result shows that the developed solar panel cleaning robot is able to clean the panel effectively and increase back the output current as well as the maximum power of the panel by 50%, after the dust on the PV panel is cleaned.
Volume: 19
Issue: 3
Page: 1245-1250
Publish at: 2020-09-01

ANFIS controller for vector control of three phase induction motor

10.11591/ijeecs.v19.i3.pp1177-1185
Girisha Joshi , Pinto Pius A J
For variable speed drive applications such as electric vehicles, 3 phase induction motor is used and is controlled by fuzzy logic controllers. For the steady functioning of the vehicle drive, it is essential to generate required torque and speed during starting, coasting, free running, braking and reverse operating regions. The drive performance under these transient conditions are studied and presented. In the present paper, vector control technique is implemented using three fuzzy logic controllers. Separate Fuzzy logic controllers are used to control the direct axis current, quadrature axis current and speed of the motor. In this paper performance of the indirect vector controller containing artificial neural network based fuzzy logic (ANFIS) based control system is studied and compared with regular fuzzy logic system, which is developed without using artificial neural network. Data required to model the artificial neural network based fuzzy inference system is obtained from the PI controlled induction motor system. Results obtained in MATLAB-SIMULINK simulation shows that the ANFIS controller is superior compared to controller which is implemented only using fuzzy logic, under all dynamic conditions.
Volume: 19
Issue: 3
Page: 1177-1185
Publish at: 2020-09-01

Automatic control system based on iot data identification

10.11591/ijeecs.v19.i3.pp1525-1532
Hankil Kim , Jaehyun Park , Hoekyung Jung
Recently, as the internet of things (IoT) technology has developed, researches are rigorously conducted to construct smart environments such as smart home, smart grid, and industrial IoT. However, currently existing systems consists of a series of events, and even if an existing task is running, unnecessary work still occurs as both works happen simultaneously. In this paper, we propose an automatic work control system to solve this problem. The proposed system transmits the data measured by the sensor to the server and identifies non-real-time tasks such as real-time work which is related to the dangerous situations, ventilation and temperature control. In addition, priority among the tasks is set in a way that existing tasks are stopped when high priority tasks occur. Accordingly, this can reduce the unnecessary waste of power, and the user is able to receive a proactive service.
Volume: 19
Issue: 3
Page: 1525-1532
Publish at: 2020-09-01

Comparison between SVM and KNN classifiers for iris recognition using a new unsupervised neural approach in segmentation

10.11591/ijai.v9.i3.pp429-438
Hicham Ohmaid , S. Eddarouich , A. Bourouhou , M. Timouya
Un système biométrique d'identification et d'authentification permet la reconnaissance automatique d'un individu en fonction de certaines caractéristiques ou caractéristiques uniques qu'il possède. La reconnaissance de l'iris est une méthode d'identification biométrique qui applique la reconnaissance des formes aux images de l'iris. En raison des motifs épigénétiques uniques de l'iris, la reconnaissance de l'iris est considérée comme l'une des méthodes les plus précises dans le domaine de l'identification biométrique. L'algorithme de segmentation proposé dans cet article commence par déterminer les régions de l'œil à l'aide d'une approche neuronale non supervisée, après que le contour de l'œil a été trouvé à l'aide du bord de Canny, la transformation de Hough est utilisée pour déterminer le centre et le rayon de la pupille et de l'iris. . Ensuite, la normalisation permet de transformer la région de l'iris circulaire segmenté en une forme rectangulaire de taille fixe en utilisant le modèle de feuille de caoutchouc de Daugman. Une transformation en ondelettes discrètes (DWT) est appliquée à l'iris normalisé pour réduire la taille des modèles d'iris et améliorer la précision du classificateur. Enfin, la base de données URIBIS iris est utilisée pour la vérification individuelle de l'utilisateur en utilisant le classificateur KNN ou la machine à vecteur de support (SVM) qui, sur la base de l'analyse du code de l'iris lors de l'extraction des caractéristiques, est discutée.
Volume: 9
Issue: 3
Page: 429-438
Publish at: 2020-09-01

A multiband and wideband frequency reconfigurable slotted bowtie antenna

10.11591/ijeecs.v19.i3.pp1399-1406
Izni Husna Idris , Mohamad Rijal Hamid , Kamilia Kamardin , Mohamad Kamal A. Rahim , Huda A. Majid
A multiband and wideband frequency reconfigurable antenna is presented. A wideband from 3.5 GHz to 9.0 GHz is achieved by introducing one stripline in the middle of a slotted bowtie antenna, whereas multiband is obtained by integrating an additional two slotted arms at the end of bowtie-shaped. As a result, the antenna operated at multiband mode (1.7 GHz and 2.6 GHz) and wideband mode (3.5 GHz to 9.0 GHz) simultaneously. The reconfigurability of the antenna is attained through switches. Five states are achieved with three  pairs of switches configurations. All results are presented and discussed, including S11, current distribution, radiation pattern, and gain. The antenna is suitable to be used in multimode communication systems.
Volume: 19
Issue: 3
Page: 1399-1406
Publish at: 2020-09-01

Knowledge and attitudes on sexually transmitted infections and HIV among undergraduates in the state universities

10.11591/ijphs.v9i3.20431
Upuli Amaranganie Pushpakumari Perera , Chrishantha Abeysena
This study aimed to describe knowledge and attitudes on sexually transmitted infections (STI) and HIV among undergraduates in state universities of Western province, Sri Lanka. A descriptive cross-sectional study was conducted among second and third year undergraduates in 2014. The stratified cluster sampling method was applied to select 1575 undergraduates. A pre-tested self-administered questionnaire was administered to assess knowledge and attitudes on STI and HIV. The associations of knowledge and attitude categories with selected variables were assessed. Most (42.3%, n=667) of the undergraduates belonged to poor knowledge category, 41% (n=646) satisfactory knowledge on STI. Only 16.6% (n=262) had good overall knowledge on STI. Undergraduates who had studied in bioscience stream (36.7%, n=91) were better knowledge than others (12.6%, n=171) (p<0.001). A majority (62.6%, n=976) of undergraduates had overall good knowledge on HIV, 27.7%, (n=432) satisfactory knowledge and 9.7% (n=151) had poor knowledge. Males who had studied in bioscience stream and those who had studied at non-mixed schools were better knowledge on HIV than the counterparts. A majority (56.5%, n=883) of undergraduates had undesirable attitudes and 43.5% (n=681) had desirable attitudes towards HIV. Males (45.9%, n=294) had more desirable attitudes than females (42%, n=386) (p>0.05). Knowledge on STI was low and HIV was higher. About half of the undergraduates had desirable attitudes towards HIV.
Volume: 9
Issue: 3
Page: 155-161
Publish at: 2020-09-01

Optimal economic dispatch of power generation solution using lightning search algorithm

10.11591/ijai.v9.i3.pp371-378
Murad Yahya Nassar , Mohd Noor Abdullah , Asif Ahmed Rahimoon
Economic dispatch (ED) is the power demand allocating process for the committed units at minimum generation cost while satisfying system and operational constraints. Increasing cost of fuel price and electricity demand can increase the cost of thermal power generation. Therefore, robust and efficient optimization algorithm is required to determine the optimal solution for ED problem in power system operation and planning. In this paper the lightning search algorithm (LSA) is proposed to solve the ED problem. The system constraints such as power balance, generator limits, system transmission losses and valve-points effects (VPE) are considered in this paper. To verify the effectiveness of LSA in terms of convergence characteristic, robustness, simulation time and solution quality, the two case studies consists of 6 and 13 units have been tested. The simulation results show that the LSA can provide optimal cost than many methods reported in literature. Therefore, it has potential to solve many optimization problems in power dispatch and power system applications.
Volume: 9
Issue: 3
Page: 371-378
Publish at: 2020-09-01

Age, intellectual functions and activity contributions to elderly nutritional status

10.11591/ijphs.v9i3.20464
Isnani Nurhayati , Anas Rahmad Hiadayat
This research aimed to examine contribution of age, mental and activity to the status of elderly nutrition. The research conducted in Boyolali, Indonesia in December 2019-January 2020. This type of research is quantitative with a cross sectional approach; determination of sampling with purposive random sampling employed 70 respondents. Data analysis was using Path Analysis with linear regression rate of significance is 0.05.The results showed that contributions of the age, intellectual functions and simultaneous activities that directly affect the nutritional status of R2square=0.821 =0.674 or 67% while the remaining 33% are contributed from other variables. The amount of simultaneous age and intellectual functions contributions that directly affect elderly activities is R2square=0.0327 or 3.27%, the remaining 96.73% is influenced by other factors. Indirect contributions of age through activity to the status of elderly nutrition and there is direct contribution of elderly intellectual functions condition through activity to the status of elderly nutrition. <w:LsdException Locked="false" Priority="49" Na
Volume: 9
Issue: 3
Page: 216-223
Publish at: 2020-09-01

Spectroscopic properties of lithium borate glass containing Sm3+ and Nd3+ ions

10.11591/ijaas.v9.i3.pp211-219
I. Kashif , A. Ratep , S. Ahmed
Lithium borate glass samples mixed with a different concentration of Sm3+ and Nd3+ ions organized by quenching technique. Structural, vibration groups and spectral properties of glass samples investigated using X-ray diffraction, FTIR, UV/Vis/NIR and photoluminescence spectroscopy. The X-ray confirmed the lithium borate glass samples containing Sm3+ and Nd3+ ions in the amorphous state. Luminescence spectra of glass samples excited at 400 nm recorded, here three luminescence bands observed in Visible region, which due to spectra materials (Sm3+, Nd3+). These indicate that these glass samples responsible orange emission and used in the improvement of materials for LED, and optical devices. The functional vibration groups of the glass matrix studied using FTIR spectroscopy.
Volume: 9
Issue: 3
Page: 211-219
Publish at: 2020-09-01

Model to assess the factors of 10-year future risk of coronary heart disease among people of Framingham, Massachusetts

10.11591/ijphs.v9i3.20469
Azizur Rahman , Arifa Tabassum
In earlier decade, heart disease was the most common cause of death in the US. Among the many important risk factors such as age, number of cigarettes smoke could help in determining the odds of having corona heart disease (CHD) when modeling with other important factors. We analyzed ongoing cardiovascular study on residents of the town of Framingham, Massachusetts, US to predict the 10-year risk of future CHD. We applied the Binary logistic regression model to assess the strength of the association of factors (such as gender, age, number of cigarettes smoke, total cholesterol level) in predicting the odds of having CHD in study population. Results showed that gender, age, number of cigarette smoke, systolic blood pressure were statistically significant and the increased age and cigarettes per day increase the odds of having 10-year risk of CHD. However, the noticeable finding was that patients with Diabetes at higher glucose level have the higher odds of having 10-year risk of CHD than with low level of glucose concentration among the residents of Framingham study.
Volume: 9
Issue: 3
Page: 259-266
Publish at: 2020-09-01

In vivo study on murine species using Cytarabine magnetic microspheres

10.11591/ijphs.v9i3.20468
Satinder Kakar , Anurekha Jain , Ramandeep Singh
Cytarabine magnetic microspheres were formulated and checked for their antileukemic potential. Leukemia was persuaded in the Wister strain of rat by intravenous injection of benzene. Blood was procured and various hematological parameters were noted and compared. Animals were divided into four groups, antileukemial potential was found to be maximum in case of magnetic microspheres of Cytarabine. The study shows the Antileukemic potential of Cytarabine magnetic microspheres.
Volume: 9
Issue: 3
Page: 255-258
Publish at: 2020-09-01

Design and implementation of fast floating point units for FPGAs

10.11591/ijeecs.v19.i3.pp1480-1489
Mohammed Falih Hassan , Karime Farhood Hussein , Bahaa Al-Musawi
Due to growth in demand for high-performance applications that require high numerical stability and accuracy, the need for floating-point FPGA has been increased. In this work, an open-source and efficient floating-point unit is implemented on a standard Xilinx Sparton-6 FPGA platform. The proposed design is described in a hierarchal way starting from functional block descriptions toward modules level design. Our implementation used minimal resources available on the targeting FPGA board, tested on Sparton-6 FPGA platform and verified on ModelSim. The open-source framework can be embedded or customized for low-cost FPGA devices that do not offer floating-point units.
Volume: 19
Issue: 3
Page: 1480-1489
Publish at: 2020-09-01

Interaction between updated FR-CG algorithms with optimal Cuckoo algorithm

10.11591/ijeecs.v19.i3.pp1497-1504
Rana Z. Alkawaz , Abbas Y. AlBayati , Marwan S. Jameel
In this article we have derived two versions, ξk and ρk were derived from an algorithm based on the first suggested modified Fletcher-Reeves method in the article for the two-term CG method and another term to get a downward search towards the function minimum point with the search for an inaccurate line and we have proved rapprochement. These two algorithms combined with the Cuckoo algorithm to achieve a remarkable performance in reducing the number of repetitions in order to reach the minimization of 10 functions is unconstrained in the numerical results. 
Volume: 19
Issue: 3
Page: 1497-1504
Publish at: 2020-09-01

Risky sexual behavior and associated factors among preparatory school students in Arsi Negelle Town Oromia, Ethiopia

10.11591/ijphs.v9i3.20033
Nega Degefa Megersa , Girum Sebsibe Teshome
Risky sexual behavior remains the major public concern commonly affecting youths. These behaviors lead to undesirable health outcomes including sexually transmitted infections, unplanned pregnancy and abortion for female. This study was intended to assess risky sexual behavior and associated factors among preparatory school students in Arsi Negelle Town. Institution-based cross-sectional study was conducted among 300 preparatory school students. Data was collected using a structured and pre-tested questionnaire. Bivariate and multivariable analysis was conducted to identify the association between variables. Statistical significance was declared at p<0.05. The prevalence of risky sexual behavior was, 32. % (95% CI: 24.3, 40.9). It was significantly associated with students grade level (AOR: 5.77; 95% CI: 1.49, 22.28), having no discussion on sexual and reproductive health (AOR: 11.28; 95% CI: 1.8, 77.49), poor knowledge on HIV/AIDS (AOR: 4.86, 95% CI: 1.38, 17.11), not watching porn movies (AOR: 0.01; 95% CI: 0.001, 0.26), having pocket money (AOR: 0.10; 95% CI: 0.03, 0.39) and having peer influence (AOR: 0.07; 95% CI: 0.02, 0.28). Significant number of students engaged in at least one risky sexual behavior. The behavior was commonly seen among students with poor knowledge about HIV, no discussion on sexual and reproductive health, lower grade level, having pocket money, having peer influence and watching pornographic movies.
Volume: 9
Issue: 3
Page: 162-168
Publish at: 2020-09-01

A computing model for trend analysis in stock data stream classification

10.11591/ijeecs.v19.i3.pp1602-1609
Abdul Razak , Nirmala C. R
For several decades, many statistical and scientific efforts took place for the better analysis or prediction of stock trading. But still it is open to offer new avenues for the scientists to rethink and discover new inferences by adopting latest technological scenarios. In this regard, this paper is trying to apply classification techniques on stock data stream through feature extraction for the trend analysis. The proposed work is involving k-means for clustering samples into two clusters (the stocks in trend as one cluster and another on as stocks not in trend). The trend analysis is done based on density estimation of the stocks with respect to sectors. A well-known data representation method that is histogram is used to represent the sector which is in trend. This work has been implemented and experimented by considering live NSE (India) data using python and its related tools.
Volume: 19
Issue: 3
Page: 1602-1609
Publish at: 2020-09-01
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