Bulletin of Electrical Engineering and Informatics
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.
Articles
2,901 Documents
A compact four port MIMO antenna for millimeterwave applications
Mohini Narendra Naik;
Hasanali Gulamali Virani
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i2.3689
A novel compact microstrip MIMO antenna with high isolation and low envelope correction coefficient has been proposed and presented in this paper. The proposed antenna is compact in size with 3.22x4.86 mm2, operating over the frequency band of 60GHz. The MIMO antennas have been designed andsimulated using electromagnetic design and verification platformIE3DTM. Two ports MIMO antenna with the size of 3.22x1.93 mm2 resonates at 58.1 GHz covering a band of 57-59.3 GHz, with the bandwidth of 2.3 GHz, gain of 5.2 dBi, and directivity of 8.67 dBi. It also provides aninput reflection coefficient of -18.41 dB with isolation of -19.98 dB. Proposed four port MIMO antenna resonates at 58 GHz covering a range of 56.9 GHz to 59.2 GHz, with a bandwidth of 2.3 GHz, gain of 5.44 dBi, and the directivity of 9.75dBi. It provides goodisolationranging from -19 dB to -30 dB with input reflection coefficient of -18.09 dB. The envelope correlation coefficient (ECC) of the proposed four-port MIMO antenna is below 0.06 in far-field radiation characteristics. The proposed MIMO antenna has been analyzed for its diversity performance in terms of ECC, mean effective gain, and diversity gain.
Studying performance evaluation of hybrid e-bike using solar photovoltaic system
Safwan A. Hamoodi;
Ahmed A. Abdullah Al-Karakchi;
Ali N. Hamoodi
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i1.3298
Hybrid e-bike system is a bicycle included electric hub motor used to aid propulsion. A solar package with main components is built with it. This study included the travelled distance divided by time under only the batteries and batteries with photovoltaic (PV) modules (at different hours during the day). A comparison between two methods is made and documented in this paper. The paper aims to captivate the fettle and experiences with the use of e-bike. Commuting distance per hour was approximately 6.8 km/h. The current limitations must not exceed (10.4 A) and the big challenge, no shading plops on solar panels due to rider. Finally, depending on the solar irradiance with time curve, hybrid e-bike gave longer travelled distance with respect to time as compared with the batteries case study.
Review on techniques of automatic solid waste separation in domestic applications
Luisa María Alcaraz-Londoño;
Luis Felipe Ortiz-Clavijo;
Carlos Julián Gallego Duque;
Sergio Armando Gutiérrez Betancur
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i1.3448
The accelerated modern day urban development is accompanied by an increasing production of solid waste. While managing solid waste on an industrial scale presents different technological challenges, managing household waste requires decentralized solutions dealing with the associated logistic and technical difficulties. In this review, we identify the research trends on household waste recycling by providing a brief description of the main technologies, and the traditional formats commonly used for solid waste (SW) separation. We identify two main threads: the SW management systems within a smart city framework and the design of domestic waste classification systems based on intelligent mechanisms tailored to user psychology. Among the main conclusions, we verify a growing interest in the subject of SW separation in domestic applications, mainly through solutions based on automation and internet of things (IoT). Also, we detected a increasing interest in the analysis of psychological aspects and in citizen education in relation to the importance of recycling, since without this notion the success of proposed solutions might be limited.
Comparative study of BER With NOMA system in different fading channels
Roselin Suganthi Jesudoss;
Rajeswari Kaleeswaran;
Manjunathan Alagarsamy;
Dineshkumar Thangaraju;
Dinesh Paramathi Mani;
Kannadhasan Suriyan
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i2.3311
In today's world, cellular communication is rapidly expanding. One of the most common strategies for assigning the spectrum of users in cellular communication is the multiple access strategy. Because the number of people using cellular communication is continually expanding, spectrum allotment is an important factor to consider. To access the channel in fifth-generation mobile communication, a method known as non-orthogonal multiple access (NOMA) is used. NOMA is a promising method for improving sum rate and spectral efficiency. In this research, we used the NOMA approach to compare the bit error rate (BER) versus signal to noise ratio (SNR) of two users in rayleigh, rician, and nakagami fading channels. A single antenna with two users is used in this NOMA system. Two users can tolerate the same frequency with differing power levels in the power domain using 5G NOMA technology. Non-orthogonality ensures that NOMA users are treated equally to OMA users. According to the MATLAB simulation findings, the BER vs. SNR of two user NOMA in the Nakagami channel is substantially better than the rayleigh and rician channels.
Review on facial expression modeling
Noor Adibah Najihah Mat Noor;
Norhaida Mohd Suaib
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i2.3558
Facial modeling has been an ongoing research for many years and still shows research trend due to its relevance to current technology. Many applications incorporate facial expression modeling with the help of facial tracking, facial animation and facial recognition. The existing performance of the modeling method faces the challenges to perform well due to many factors. Currently, the use of 2D images and videos as inputs for modeling process are gaining popularity. However, current technologies and development had extended the trends towards acquiring 3D human data. This paper provides an overview on variety of modeling techniques based on human facial model that can lead to future research.
Performance improvement of stand-alone induction generator using distribution SSC for wind power application
Mahmood T. Alkhayyat;
Ziad Saeed Mohammed;
Ahmed J. Ali
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i2.2730
Self-excited induction generators (SEIGs) are used in wind turbine system because of high reliability, rigidity, simple structure, and capability to work under severe badly operating conditions. This type of generator has a poor terminal voltage and frequency regulation during changing the connected loads due to the absence of constant excitation current. Therefore, it is essential to stabilize the generated voltage and frequency besides suppress the injected harmonic current components. In this work, the dynamic performance of SEIG with distribution static series compensator (DSSC) is analyzed. The DSSC based on neuro-fuzzy controlled (NFC) is applied to control both voltage and frequency to enhance the regulation of SEIG. The NFC is used to control the DSSC which leads to balance the requirement of the reactive and active power of stand-alone grid under load variation and attempts to obtain a constant terminal voltage. The model is simulated using MATLAB/Simulink. The NFC structure designed to regulate and control the output voltage of the SEIG driven by a wind turbine to feed a consumer in remote and rural places. Furthermore, the power system parameters calculated depending on the d-q theory. Modeling results explained that the suggested controller is consistent and tough related to the conventional types.
Improved modified a multi-level inverter with a minimum total harmonic distortion
Khalid M. Abdulhassan;
Osama Yaseen Khudair Al-Atbee
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i2.3466
Renewable energy sources are developed as a result of the increased demand for electrical power. The nature of the solar energy source is DC. The DC source for many applications needs to be converted to AC. The inverter is used to convert the power from DC to AC. Total harmonic distortion (THD) is a significant concern with inverters. Multi-level inverters are used to reduce the THD. The stair output voltage of the multi-level inverter not only reduces the THD but also reduces the switches' stresses, so a low voltage rating can be used for the switches. In this paper, a modified inverter topology is introduced in which the number of switches is reduced for the same number of output voltage levels, which leads to reducing the losses and the cost. To reduce the THD, different amplitudes for the carrier signals that control the switches in each level are suggested. Another method to reduce the THD by using different capacitor values across the input DC source is presented. The MATLAB/Simulink is used to show the validity of the suggested modified topology and the modifications.
Surveillance system of mask detection with infrared temperature sensor on Jetson Nano Kit
Noor Faleh Abdul Hassan;
Ali A. Abed;
Turki Y. Abdalla
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i2.3369
Coronavirus desease-19 (COVID-19) has made it mandatory for people to cover their faces in public areas since the right use of a mask is effective at protecting people from viral infection. It has been also shown that body temperature may indicate an individual's health state. Deep learning is being used in this work to construct an actual strategy to meet the current demand for mask-wearing status and facial temperature detection before entering a public venue. For the mask detection service provider, a surveillance system is constructed utilizing a deep learning technique employing a Jetson Nano. The alert is triggered by an infrared temperature sensor and a buzzer. AMG8833 and C920e camera are used to take input images and measure a person's body temperature at the same time. A warning sound is produced when the temperature of a person's face exceeds the normal range for human beings during these tests, which result in a live video showing the right information on whether the individual is wearing a mask correctly and how hot his or her face is. The model is light and fast, with a 99% accuracy rate for training and a 100% accuracy rate while testing.
Predicting death and confirmed cases of coronavirus
Farqad Hamid Abdulraheem;
Moatasem Yaseen Al-Ridha;
Raid Rafi Omar Al-Nima
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i1.3133
At the end of 2019, a new virus called coronavirus has globally spread causing severe effections. In this paper, an artificial intelligence (AI) method is proposed to predict numbers of death and confirmed coronavirus cases. Efficient machine learning (ML) network named the byesian regularization backpropagation (BRB) is employed. It can estimates numbers of death and confirmed cases from applied population density and date. So, the BRB uses the population density, month and day as inputs, and predicts the new cases per million and new deaths per million as outputs. The network was trained and assessed by using a daily coronavirus recorded dataset known as the our world in data (OWID). The considered dates here are from the 31st of December 2019 to the 13th of October 2020. Furthermore, recorded information from countries over all world are employed. The obtained results provided a good promising performance with a testing mean absolute error (MAE) equal to 0.0218.
An open double ring antenna with multiple reconfigurable feature for 5G/IoT below 6GHz applications
Duong Thi Thanh Tu;
Son Cao;
Hien Duong
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i1.3337
In this paper, we proposed a hybrid or compound reconfigurable antenna using three PIN diode switching to achieve the different types of reconfiguration: frequency and radiation pattern. Based on an open ring structure with the varied active PIN diodes, the proposed antenna radiation pattern can scan a beam along with one of five directions with the same operating frequency. Depended on the number of active PIN diodes, the antenna operating frequency also can switch to two of six bands which are 1.9 GHz, 2.4/2.6 GHz, 3.5 GHz, 5 GHz, and 5.6 GHz. All frequency bands are popular ones of wireless communication as well as 5G/IoT applications. In addition, the antenna gets a compact size of 30mm *30 mm*1.6 mm and wide bandwidth due to using the radiating shape of a double ring. All details of antenna design are optimized by CST software, and the simulation results agree well with the measurement results.