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Bulletin of Electrical Engineering and Informatics
Published by Universitas Ahmad Dahlan
ISSN : -     EISSN : -     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering.
Arjuna Subject : -
Articles 63 Documents
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Search results for , issue "Vol 11, No 2: April 2022" : 63 Documents clear
Integration of convolutional neural network and extreme gradient boosting for breast cancer detection Endang Sugiharti; Riza Arifudin; Dian Tri Wiyanti; Arief Broto Susilo
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3562

Abstract

With the most recent advances in technology, computer programming has reached the capabilities of human brain to decide things for almost all healthcare systems. The implementation of Convolutional Neural Network (CNN) and Extreme Gradient Boosting (XGBoost) is expected to improve the accurateness of breast cancer detection. The aims of this research were to; i) determine the stages of CNN-XGBoost integration in diagnosis of breast cancer and ii) calculate the accuracy of the CNN-XGBoost integration in breast cancer detection. By combining transfer learning and data augmentation, CNN with XGBoost as a classifier was used. After acquiring accuracy results through transfer learning, this reasearch connects the final layer to the XGBoost classifier. Furthermore, the interface design for the evaluation process was established using the Python programming language and the Django platform. The results: i) the stages of CNN-XGBoost integration on histopathology images for breast cancer detection were discovered. ii) Achieved a higher level of accuracy as a result of the CNN-XGBoost integration for breast cancer detection. In conclusion, breast cancer detection was revealed through the integration of CNN-XGBoost through histopathological images. The combination of CNN and XGBoost can enhance the accuracy of breast cancer detection.
Storage and encryption file authentication for cloud-based data retrieval Mustafa Qahtan Alsudani; Hassan Falah Fakhruldeen; Heba Abdul-Jaleel Al-Asady; Feryal Ibrahim Jabbar
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3344

Abstract

The amount of data that must be processed, stored, and modified rises as time passes. An enormous volume of data from a wide range of sources must be stored on a safe platform. Maintaining such a large volume of data on a single computer or hard drive is impracticable. As a result, the cloud is the ideal platform for storing any quantity of data. An advantage of storing data in the cloud is that it may be accessed at any time and from any device. However, the security of data stored in the cloud is a big concern. Because of this, despite the benefits, most users are reluctant to move their papers to the cloud. The data should be encrypted before sending it off to the cloud service provider to avoid this issue. It's a great way to increase the security of your papers. According to a new technique presented in the system, data may be searched across encrypted files without compromising the privacy and security of various data owners. Implementing the pallier homomorphic encryption method makes it possible to perform computations on encrypted data without decryption.
Extraction of human understandable insight from machine learning model for diabetes prediction Tsehay Admassu Assegie; Thulasi Karpagam; Radha Mothukuri; Ravulapalli Lakshmi Tulasi; Minychil Fentahun Engidaye
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3391

Abstract

Explaining the reason for model’s output as diabetes positive or negative is crucial for diabetes diagnosis. Because, reasoning the predictive outcome of model helps to understand why the model predicted an instance into diabetes positive or negative class. In recent years, highest predictive accuracy and promising result is achieved with simple linear model to complex deep neural network. However, the use of complex model such as ensemble and deep learning have trade-off between accuracy and interpretability. In response to the problem of interpretability, different approaches have been proposed to explain the predictive outcome of complex model. However, the relationship between the proposed approaches and the preferred approach for diabetes prediction is not clear. To address this problem, the authors aimed to implement and compare existing model interpretation approaches, local interpretable model agnostic explanation (LIME), shapely additive explanation (SHAP) and permutation feature importance by employing extreme boosting (XGBoost). Experiment is conducted on diabetes dataset with the aim of investigating the most influencing feature on model output. Overall, experimental result evidently appears to reveal that blood glucose has the highest impact on model prediction outcome.
Optimal load management strategy under off-peak tariff riders in UTeM: a case study Mohamad Fani Sulaima; Musthafah Mohd Tahir; Aida Fazliana Abdul Kadir; Mohamad Firdaus Shukri; Mohd Rahimi Yusoff; Ainuddin Abu Kasim; Luqman Ali
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3556

Abstract

Demand response (DR) program through tariff initiative has been established in Malaysia since 1990. The available time of use (TOU) tariff focuses on providing price signals to consumers, especially from industrial and commercial sectors. In achieving a certain standard for off-peak tariff rider (OPTR) initiative to receive discount rate, consumers must improve load factors compared to the baseline declared. However, not all consumers are able to commit. In Universiti Teknikal Malaysia Melaka (UTeM), the TOU (C1-OPTR) tariff is proposed and applied when the available cost discount of 20% can be enjoyed by sustaining the load factor improvement (LFI). A simulator projected a flexible optimal load profile referred by the energy management team to achieve the university's sustainable energy management goal. Thus, securing the LFI would allow the energy consumption (kWh) and peak demand (kW) to be managed concurrently. As for testing results for two buildings, the load factor improves to 0.40, and the maximum demand reduces by about 35 kW. When getting the 20% discount for the OPTR scheme, the total cost saving is forecasted approximately USD 29,441.40 yearly. The current pilot project presents a positive sign with the peak demand reduction and load factor improvement close to the simulator's optimal profile.
Low-voltage bulk-driven flipped voltage follower-based transconductance amplifier Durgam Rajesh; Subramanian Tamil; Nikhil Raj; Bharti Chourasia
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3306

Abstract

A low voltage high performance design of operational transconductance amplifier is proposed in this paper. The proposed architecture is based on bulk driven quasi-floating gate metal oxide semiconductor field effect transistor (MOSFET) which supports low voltage operation and improves the gain of the amplifier. Besides to this the tail current source requirement of operational transconductance amplifier (OTA) is removed by using the flipped voltage follower structure at the input pair along with bulk driven quasi-floating gate MOSFET. The proposed operational transconductance amplifier shows a five-fold increase in direct current (DC) gain and 3-fold increase in unity gain bandwidth when compared with its conventional bulk driven architecture. The metal oxide semiconductor (MOS) model used for amplifier design is of 0.18 um complementary metal oxide semiconductor (CMOS) technology at supply of  0.5 V.
Corner detection in aerospace image by using an expandable mask Haider Makki Hammed Alzaki; Maha Abbas Hutaihit; Оksana Shauchuk
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3401

Abstract

An algorithm for searching the breaks in contours based on an expandable mask in the image is proposed. The essence of the algorithm is to eliminate straight contour lines using a form factor. Sequential application of a  pixel binary mask for each pixel of the contour, except the endpoints, and joining the unit elements to the mask (growing) in the vicinity of the pixel, for which it is impossible to determine whether the fracture using a mask  pixel. The analysis of the proposed algorithm is compared with Harris method when changing registration conditions of images, specially, brightness, contrast, and rotation. Shown, that the proposed algorithm is more stable with increasing contrast and has a shorter running time compared with Harris method on account of loss the stability with decreasing contrast.
Processing time increasement of non-rice object detection based on YOLOv3-tiny using Movidius NCS 2 on Raspberry Pi Nova Eka Budiyanta; Catherine Olivia Sereati; Ferry Rippun Gideon Manalu
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3483

Abstract

This study aims to increase the processing time of detecting non-rice objects based on the you only look once v3-tiny (YOLOv3-tiny) model. The system was developed on the Raspberry Pi 4 embedded system with the Movidius neural compute stick 2 (NCS 2) implementation approach. Data object in the form of gravel on a bunch of rice in the video. The video data was obtained using a webcam with a resolution of 1920 x 1080 pixels with a total of 2759 frames. From the test results, frames per second (FPS) have increased by 1.27x in the Movidius NCS 2 implementation compared to processing using the central processing unit (CPU) from the Raspberry Pi 4. The object detection processing on video data is complete at 1871.408 seconds with 1.474 FPS using the CPU from the Raspberry Pi 4 and finished at 1477.141 seconds with 1.868 FPS using Movidius NCS 2. From these differences, it can be seen that the application of Movidius NCS 2 succeeded in increasing the object detection processing in this study by 26.69% with the YOLOv3-tiny model approach on the Raspberry Pi 4 embedded system.
Reconfigurable software-defined radar testbed with built-in validation Juan Carlos Martínez Quintero; Edith Paola Estupiñán Cuesta; Johan Stiven García Ramírez
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3568

Abstract

This article presents a radar testbed for speed detection through micro-doppler effect in a controlled environment using software defined radio (SDR) technology. The target moves along a conveyor belt with software-controlled speed. The speed is detected by an SDR radar, and it is possible to compare it to an encoder-based sensor implemented on the testbed. The testbed as well as the SDR radar are reconfigurable and a (continuous wave) CW radar was implemented for the validation of the testbed; however, the testbed is not limited to this implementation. The testbed can be remotely operated because it includes the mechanism to move the target and control its velocity. The article shows the way in which the testbed was designed and implemented, the generation and processing of the radar signal using a limeSDR, and the validation of the radar measurements compared to the encoder-based speed sensor. The maximum speed obtained by the target in the testbed is 15.69cm/s. Results show a difference in the speed measured with the SDRadar of no more than 5% compared to the sensor measurememt. Results obtained allow characterizing the behavior of the SDR platform in the detection of low speeds.
A new approach for smart electric meter based on Zigbee Ahmed Shamil Mustafa; Mohamed Muthanna Al-Heeti; Mustafa Maad Hamdi
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3198

Abstract

A smart meter is an electronic device that accurately tracks your energy consumption and transmits that data to your energy provider so that you can be billed. The smart meters allow the central system and the meter to communicate in both directions. This two-way communication feature distinguishes the advanced metering infrastructure (AMI) in this case from automatic meter reading (AMR). This paper employs a hybrid system based on the Zigbee protocol, the Zigbee used to send messages between the smart meter and the utility company. To successfully complete tasks in this scenario, a cooperative communication system utilizing TDMA is used. The outcomes of Zigbee performance are measured using well-known metrics, also known as performance metrics. Many performance indicators have been chosen for performance evaluation: throughput, average end-to-end delivery ratio, and (PDR). The following conclusions were reached: End-to-end latency was 5.01 milliseconds, throughput was 42.63 kbps, and PDR was 97.19 percent. The network simulator successfully reads and wirelessly transmits voltage or power consumption using the Zigbee protocol and a cooperative communication system.
Design Ultra-Wideband Antenna have A Band Rejection Desired to Avoid Interference from Existing Bands Ansam Qasim Kamil; ِAli Khalid Jassim
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3164

Abstract

Ultra-wideband antenna with band notch for rejecting bands. Rectangular slots are introduced on an arborescent patch to get UWB, coverage from 3.1–10.6 GHz. The antenna structure is fancied on FR4 the substrate with a size of 24 mm×24 mm×1.6 mm, a band notch located at 4.7 GHz is generated by adding the rectangular slot on the patch this microstrip antenna is simulated by computer simulation technology, the simulated and manufactured results show the antenna for wireless communication,to reduce the problem of interference in bands in communication systems by using the current distribution techniques, large bandwidths are reduced and unwanted bands are rejected by inserting notch such as rectangular slit and side slot on the patch. The presented antenna, use current redistribution technology, for the antenna designed by adding a rectangular aperture on a rectangular patch to change the current path to a zero value. Despite the fact that these antennas have strong band-notch characteristics and can match the criteria of UWB communication applications.

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