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29,922 Article Results

Hydrodynamic characteristics of marine composite propeller blade using a numerical approach

10.11591/ijaas.v10.i1.pp20-27
M. L. P. Kishore , Vijay K. Singh , R. K. Behra , Chandra S. Saran , Manikant Paswan , Kapil Kumar
The aim of the present research work is to investigate the hydrodynamic characteristics (pressure distribution, rotational speed, thrust, and torque) of the conventional B-series composite propeller blade. The open water efficiency for the scaled model of the composite propeller blade is computed using computational fluid dynamics (CFD) fluent simulation tool. The obtained numerical results show that the propeller will operate at optimum efficiency for the given speed condition and perform with reduced efficiency at other operational speeds. The computed responses are also validated with the standard B-series data which verifies the accuracy and robustness of the present numerical approach in analyzing the performance characteristics of propellers. The deviation in solution ranges from 5 to 15% in the case of thrust, and 10 to 20% in the case of torque. Pressure estimation is usually quite accurate with a 5 to 8% variation. The tabular data of pressure distribution over the propeller blade may be used for further structural analysis.
Volume: 10
Issue: 1
Page: 20-27
Publish at: 2021-03-01

Extracting numerical data from unstructured Arabic texts (ENAT)

10.11591/ijeecs.v21.i3.pp1759-1770
Abeer K. AL-Mashhadany , Dalal N. Hamood , Ahmed T. Sadiq Al-Obaidi , Waleed K. Al-Mashhsdany
Unstructured data becomes challenges because in recent years have observed the ability to gather a massive amount of data from annotated documents. This paper interested with Arabic unstructured text analysis. Manipulating unstructured text and converting it into a form understandable by computer is a high-level aim. An important step to achieve this aim is to understand numerical phrases. This paper aims to extract numerical data from Arabic unstructured text in general. This work attempts to recognize numerical characters phrases, analyze them and then convert them into integer values. The inference engine is based on the Arabic linguistic and morphological rules. The applied method encompasses rules of numerical nouns with Arabic morphological rules, in order to achieve high accurate extraction method. Arithmetic operations are applied to convert the numerical phrase into integer value. The proper operation is determined depending on linguistic and morphological rules. It will be shown that applying Arabic linguistic rules together with arithmetic operations succeeded in extracting numerical data from Arabic unstructured text with high accuracy reaches to 100%.
Volume: 21
Issue: 3
Page: 1759-1770
Publish at: 2021-03-01

Virtual machine migration in MEC based artificial intelligence technique

10.11591/ijai.v10.i1.pp244-252
Ali OUACHA , Mohamed EL Ghmary
The whole world is inundated with smaller devices equipped with wireless communication interfaces. At the same time, the amount of data generated by these devices is becoming more important. The smaller size of these devices has the disadvantage of being short of processing and storage resources (memory, processes, energy,...), especially when it needs to process larger amounts of data. In order to overcome this weakness and process massive data, devices must help each other. A low-resource node can delegate the execution of a set of computionly heavy tasks to another machine in the network to process them for it. The machine with sufficient computational resources must also deposit the appropriate environment represented by the adapted virtual machine. Thus, in this paper, in order to migrate the virtual machine to an edge server in a mobile edge computing environment, we have proposed an approach based on artificial intelligence. More specifically, the main idea of this paper is to cut a virtual machine into several small pieces and then send them to an appropriate target node (Edge Server) using the ant colony algorithm. In order to test and prove the effectiveness of our approach, several simulations are made by NS3. The obtained results show that our approach is well adapted to mobile environments.
Volume: 10
Issue: 1
Page: 244-252
Publish at: 2021-03-01

Analysis of teacher performance to build student interest and motivation towards mathematics achievement

10.11591/ijere.v10i1.20711
Hardi Tambunan , Bornok Sinaga , Wahyu Widada
The purpose of this study was to determine the impact and categories of teacher performance in building student interest and motivation on mathematics achievement. The population in this study was students in the eighth grade of junior high schools from six public and two private schools, and a sample of 277 students was taken by cluster sampling. Data collection instruments used a questionnaire, and data analysis was done by using by descriptive and path analysis. The results of data analysis showed that partially, teacher performance significantly affected student interest and motivation excel at mathematics. Simultaneously, teacher performance is very significant in influencing student interest and motivation to be excellent in mathematics. Partially, teacher performance builds interest and student motivation for mathematics achievement is low category. Simultaneously, teacher performance builds student interest and motivation to excel at mathematics is low category. Both of these can be caused by the ability of teachers to build motivation and interest is not good, so students are also less interested and motivated to learn mathematics.
Volume: 10
Issue: 1
Page: 42-47
Publish at: 2021-03-01

Modeling and validation of lithium-ion battery with initial state of charge estimation

10.11591/ijeecs.v21.i3.pp1317-1331
Ali Mohsen Alsabari , M.K Hassan , Azura CS , Ribhan Zafira
The modeling of lithium-ion battery is an important element to the management of batteries in industrial applications. Various models have been studied and investigated, ranging from simple to complex. The second-order equivalent circuit model was studied and investigated since the dynamic behavior of the battery is fully characterized. The simulation model was built in Matlab Simulink using the Kirchhoff Laws principle in mathematical equations, while the battery's internal parameters were identified by using the BTS4000 (Battery tester) device. To estimate the full state of charge (SOC), the initial state of charge (SOC0) must be identified or measured. Hence, this paper seeks for the SOC estimation by using experimental terminal voltage data and SOC with Matlab lookup table. Then, the simulated terminal voltage, as well as the SOC of the battery are compared and validated against measured data. The maximum relative error of 0.015 V and 2% for terminal voltage and SOC respectively shows that the proposed model is accurate and relevant based on the error analysis.
Volume: 21
Issue: 3
Page: 1317-1331
Publish at: 2021-03-01

Evaluation of SVM performance in the detection of lung cancer in marked CT scan dataset

10.11591/ijeecs.v21.i3.pp1731-1738
Hamdalla Fadil Kareem , Muayed S AL-Huseiny , Furat Y. Mohsen , Enam A. Khalil , Zainab S. Hassan
This paper concerns the development/analysis of the IQ-OTH/NCCD lung cancer dataset. This CT-scan dataset includes more than 1100 images of diagnosed healthy and tumorous chest scans collected in two Iraqi hospitals. A computer system is proposed for detecting lung cancer in the dataset by using image-processing/computer-vision techniques. This includes three preprocessing stages: image enhancement, image segmentation, and feature extraction techniques. Then, support vector machine (SVM) is used at the final stage as a classification technique for identifying the cases on the slides as one of three classes: normal, benign, or malignant. Different SVM kernels and feature extraction techniques are evaluated. The best accuracy achieved by applying this procedure on the new dataset was 89.8876%.
Volume: 21
Issue: 3
Page: 1731-1738
Publish at: 2021-03-01

The ICT basic skills: Contribution to student social media utilization activities

10.11591/ijere.v10i1.20598
Supardi Supardi , Juhji Juhji , Intan Azkiyah , Birru Muqdamien , Aan Ansori , Iwan Kurniawan , Ahmad Fitriadi Sari
This study aimed to analyze the contribution of Information and Communications Technology (ICT) basic skills to student social media utilization activities. Quantitative research was determined as a method with regression analysis. A total of 144 students selected randomly participated in this research. The research instrument used a five-scale questionnaire, consisting of 32 items of ICT skill instruments and 20 items for social media utilization instruments. The results showed a high level of ICT students' basic skills and social media use activities. There is a contribution of basic ICT skills to student social media utilization activities. The higher of the basic skill of ICT causes the higher the level of activity utilization of their social media. Research recommendations suggest efforts to improve students' basic ICT skills.
Volume: 10
Issue: 1
Page: 222-229
Publish at: 2021-03-01

Ubiquitous learning in occupational health and safety for vocational education

10.11591/ijere.v10i1.20823
Ketut Ima Ismara , Amin Suharjono , Didi Supriadi
This research aimed to develop instructional media for occupational safety and health android-based for vocational schools. The second aim is to determine the feasibility of instructional media and student responses. The type of research is research and development (R&D) with the Analysis, Design, Development, Implementation, Evaluation (ADDIE) method, namely, analysis, design, development, implementation, and evaluation. The instrument used for data collection was a questionnaire with fourth scales. Data collection used an assessment questionnaire for two experts and 103 users. Research data analysis techniques used quantitative descriptive analysis. This study's results have produced products in the form of android-based instructional media for Occupational Safety and Health. In this study, we designed and developed an application called Zerosicks for mobile devices to help students learn occupational safety and health principles. The results of testing for all features and navigation work well and under their functions. The assessment results by content experts, media experts, and students as users indicate that this media has a very decent level of eligibility. Suggestions for product development are to add videos to the media, provide selected music, and add discussion forums for users.
Volume: 10
Issue: 1
Page: 285-292
Publish at: 2021-03-01

Student satisfaction level among allied health sciences students at King Edward Medical University

10.11591/ijphs.v10i1.20618
Afisa Bashir , Shahzaib Ahmad , Muhammad Zeeshan Sarwar , Syed Asghar Naqi
The purpose of this study was to evaluate student satisfaction with their program, academic environment and administrative services in terms of its effectiveness on their professional attitudes, lives and career. A total of 261 students of allied health sciences program at King Edward Medical University, were examined in terms of personal satisfaction by means of a specifically designed student satisfaction survey. A qualitative analysis approach was used to interpret the data generated by a three‐part survey form circulated to the four proceeding sessions of allied health sciences program and satisfaction of students in 12 major disciplines was evaluated. The data was entered in statistical product and service solutions (SPSS) version 22 using quantitative variables and descriptive statistics including frequency distribution tables and diagrams. The study revealed a student satisfaction of only 22.1% with their program with different levels of recommendation in different sub-disciplines. A total of 20.9% students agreed to the library facilities, 53.9% with computer lab, 35% with administrative support, 29.6% with sports facilities and 49% with teaching methodologies. The present study concludes that most of the students had little satisfaction concerning their field of study. So, it is necessary to make an attempt for continuous development of quality services.
Volume: 10
Issue: 1
Page: 55-60
Publish at: 2021-03-01

A systematic review of the relationship between motivational constructs and self-regulated learning

10.11591/ijere.v10i1.21006
Sook Ling Lim , Kee Jiar Yeo
The aim of this review was to identify the motivational constructs which were mostly associated with self-regulated learning and how these motivational constructs were related to self-regulated learning. There were 20 studies (N=8,759) met inclusion criteria for this review. In overall, the evidence of the included studies showed that motivational constructs such as self-efficacy, intrinsic goal orientation, task value, and control of learning beliefs were positively and significantly related to and in predicting self-regulated learning; test anxiety was negatively and insignificantly related to and in predicting self-regulated learning; inconsistent results were observed for extrinsic goal orientation as it could be positively or negatively related to and in predicting self-regulated learning.
Volume: 10
Issue: 1
Page: 330-335
Publish at: 2021-03-01

Off-grid rural electrification using integrated renewable energy sources

10.11591/ijaas.v10.i1.pp1-12
Fortune Chukwuebuka Amanze , Destiny Josiah Amanze
Presented in this study is an economic and technical evaluation to determine the optimal system combination for off-grid power generation based on solar, wind, and biodiesel renewable energy resource. Nsukka being endowed with high-intensity solar radiation, adequate wind speed, and sufficient bioresource is a prospective candidate for a hybrid system. The monthly average daily global radiation ranges from 3.91 kWh/m2 to 5.74 kWh/m2 and the average wind speed is about 2.64 m/s. This system was designed to meet the load requirement of the school with annual electrical demand of 10,163 MWh. Sensitivity analysis was carried out based on the effect of changes in biodiesel fuel price and interest rates on the economic performance criteria of the optimal configuration. The optimum hybrid system is composed of a 1 kW capacity PV system, an auto-sized biodiesel generator, and a battery bank of 820 h of autonomy. The levelized cost of energy from the optimal system was found to be $0.0898 per kWh based on sensitivity results. These results obtained show that an integrated system with the combination of PV, biodiesel generator, and battery bank is a cost-effective alternative to grid extension which cost $0.126 per kWh. The system's life span is for 25 years, and it is sustainable, economical, technically feasible, and environmentally friendly.
Volume: 10
Issue: 1
Page: 1-12
Publish at: 2021-03-01

Linear discriminant analysis and support vector machines for classifying breast cancer

10.11591/ijai.v10.i1.pp253-256
Zuherman Rustam , Yasirly Amalia , Sri Hartini , Glori Stephani Saragih
Breast cancer is an abnormal cell growth in the breast that keeps changed uncontrolled and it forms a tumor. The tumor can be benign or malignant. Benign could not be dangerous to health and cancerous, but malignant could be has a probability dangerous to health and be cancerous. A specialist doctor will diagnose the patient and give treatment based on the diagnosis which is benign or malignant. Machine learning offer times efficiency to determine a cancer cell. The machine will learn the pattern based on the information from the dataset. Support vector machines and linear discriminant analysis are common methods that can be used in the classification of cancer. In this study, both of linear discriminant analysis and support vector machines are compared by looking from accuracy, sensitivity, specificity, and F1-score. We will know which methods are better in classifying breast cancer dataset. The result shows that the support vector machine has better performance than the linear discriminant analysis. It can be seen from the accuracy is 98.77%.
Volume: 10
Issue: 1
Page: 253-256
Publish at: 2021-03-01

Generalized swarm intelligence algorithms with domain-specific heuristics

10.11591/ijai.v10.i1.pp157-165
P. Matrenin , V. Myasnichenko , N. Sdobnyakov , D. Sokolov , S. Fidanova , L. Kirilov , R. Mikhov
In recent years, hybrid approaches on population-based algorithms are more often applied in industrial settings. In this paper, we present the approach of a combination of universal, problem-free Swarm Intelligence (SI) algorithms with simple deterministic domain-specific heuristic algorithms. The approach focuses on improving efficiency by sharing the advantages of domain-specific heuristic and swarm algorithms. A heuristic algorithm helps take into account the specifics of the problem and effectively translate the positions of agents (particle, ant, bee) into the problem's solution. And a Swarm algorithm provides an increase in the adaptability and efficiency of the approach due to stochastic and self-organized properties. We demonstrate this approach on two non-trivial optimization tasks: scheduling problem and finding the minimum distance between 3D isomers.
Volume: 10
Issue: 1
Page: 157-165
Publish at: 2021-03-01

A hybrid strategy for emotion classification

10.11591/ijeecs.v21.i3.pp1400-1406
Hussah Nasser Aleisa
Human emotion recognition is an upcoming research field of human computer interaction based on facial gestures and is being used for real-time analysis in classifying cognitive affective states from a facial video data. Since computers have become an integral part of life, many researchers are using emotion recognition and classification of data based on audio and text. But these approaches offer limited accuracy and relevance in emotion classification. Therefore we have introduced and analyzed a hybrid approach which could outperform the existing strategies that uses an innovative approach supported by selection of audio and video data characteristics for classification. The research uses SVM for classifying the data using audio-visual savee database and the results obtained show maximum classification accuracy with respect to audio data about 91.6 could be improved to 99.2% after the application of hybrid strategy.
Volume: 21
Issue: 3
Page: 1400-1406
Publish at: 2021-03-01

Fusion for medical image based on discrete wavelet transform coefficient

10.11591/ijeecs.v21.i3.pp1407-1416
Zahraa Yaseen Hasan , Rusul Altaie , Hawraa Abd Al-kadum Hassan
More recent digital camera introduced enormous facilities for users from different specifications to take images easily, but the user still wants to improve these images, which it contains different problems like ambiguous and colors is not clear, because not enough light, cloudy weather, bright light, dark region and it's taken from remote distances. This paper aims to use a new approach for fusion images by using a wavelet coefficient based on PSNR and SNR measure (the technical result) instead of using the max, min, average values, and so on in the previous methods. The wavelet coefficient of each sub band is compared between them, the sub band had a value higher of measure is selected for fusion. Firstly, a discrete wavelet transform has been applied to the medical images with 2level. Then, the peak signal to noise ratio and signal to noise ratio measures have been computed for each sub-band. After that PSNR and SNR values have been compared for each sub-band to opposite sub-band and it selected the better value of measures. Secondly, PSNR and SNR values have been gathered for each image. Then select the image that contains value higher PSNR and lower value of SNR for purpose fusion. Finally, perform an inverse discrete wavelet on the fused image to transform it from the frequency to the spatial domain. The results of the work showed that the wavelet coefficient is used to preserve the image details and removed the noise. PSNR value of 1level of dwt is higher than 2level. This paper makes the image more clearer and informative than the original images. 
Volume: 21
Issue: 3
Page: 1407-1416
Publish at: 2021-03-01
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