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Bulletin of Electrical Engineering and Informatics

EEI
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Published by Universitas Ahmad Dahlan

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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.

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Articles 57 Documents

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Search results for , issue "Vol 9, No 5: October 2020" : 57 Documents clear

A study of voltage regulation in microgrid using a DSTATCOM Ziyaad H. Saleh; Zaid H. Ali; Raid W. Daoud; Ahmed H. Ahmed
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

A well-prepared abstract enables the reader to identify the basic content. This paper presents the solution of voltage fluctuations in urgent situations by providing voltage and reactive support from a distribution static synchronous compensator (DSTATCOM) in the grid. Also, it analyses the influences of DSTATCOM as a voltage controller and compares the system performance with and without DSTATCOM. The DSTATCOM is used in the study to maintain voltage in the microgrid (MG) to be around the rated value after Microgrid disturbance. A successful simulink model of the photovoltaic (PV) system and the proposed DSTATCOM are illustrated to work together as the Microgrid. Microgrids could provide unique resilience and reliability when the environment encountered with less water, higher temperatures, more frequent and harsh wildfires, and severe weather events. The proposed DSTATCOM was installed in different locations in the MG and the best location was chosen to achieve the goal of improved power quality and efficiency. In this paper, two scenarios are discussed with and without DSTATCOM. The simulation results show the difference between the MG with and without DSTATCOM and how the DSTATCOM can amplify power quality in the Microgrid. The proposed DSTATCOM has the capability to improve dampen power oscillations during transit events.

Cowbree: A novel dataset for fine-grained visual categorization Umar Akbar Khan; Saira Moin U. Din; Saima Anwar Lashari; Murtaja Ali Saare; Muhammad Ilyas
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Fine-grained visual categorization (FGVC) dealt with objects belonging to one class with intra-class differences into subclasses. FGVC is challenging due to the fact that it is very difficult to collect enough training samples. This study presents a novel image dataset named Cowbreefor FGVC. Cowbree dataset contains 4000 images belongs to eight different cow breeds. Images are properly categorized under different breed names (labels) based on different texture and color features with the help of experts. While evidence shows that the existing dataset are of low quality, targeting few breeds with less number of images. To validate the dataset, three state of the art classifiers sequential minimal optimization (SMO), Multiclass classifier and J48 were used. Their results in term of accuracy are 68.81%, 55.81% and 57.45% respectively. Where results shows that SMO out performed with 68.81% accuracy, 68.4% precision and 68.8% recall.

Indonesian language email spam detection using N-gram and Naïve Bayes algorithm Yustinus Vernanda; Seng Hansun; Marcel Bonar Kristanda
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Indonesia is ranked the top 8th out of the total country population in the world for the global spammers. Web-based spam filter service with the REST API type can be used to detect email spam in the Indonesian language on the email server or various types of email server applications. With REST API, then there will be data exchange between the applications with JSON data type using existing HTTP commands. One type of spam filter commonly used is Bayesian Filtering, where the Naïve Bayes algorithm is used as a classification algorithm. Meanwhile, the N-gram method is used to increase the accuracy of the implementation of the Naïve Bayes algorithm in this study. N-gram and Naïve Bayes algorithms to detect spam email in the Indonesian language have successfully been implemented with accuracy around 0.615 until 0.94, precision at 0.566 until 0.924, recall at 0.96 until 1.00, and F-measure at 0.721 until 0.942. The best solution is found by using the 5-gram method with the highest score of accuracy at 0.94, precision at 0.924, recall at 0.96, and F-measure value at 0.942.

Simulation study of memristor aided logic (MAGIC) based on CMOS NOR gate Wan Mohamad Izzat Wan Zain; Syed Abdul Mutalib Al Junid; Mohd Faizul Md Idros; Abdul Hadi Abdul Razak; Fairul Nazmie Osman; Abdul Karimi Halim; Muhammad Adib Haron
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Memristor is a non-volatile new technology memory where the data stored as a resistance which the performance is influenced by the stateful logic design. Therefore, this study is an attempt to investigate the performance of the MAGIC NOR Gate stateful logic design using LTSPICE and targeted to 2 bits memory application. The objective is to investigate the performance of memristor based stateful logic logic design and schematics for memory application. Furthermore, the study been carried out by implementing the MAGIC NOR gate stateful logic schematic, then simulate the design in order to see the effects of performance including the electrical parameters compared to the others. Evidently, the improvement of MAGIC NOR gate contributes in reducing the number of NOR gate and CMOS count. Besides, the MAGIC NOR gates takes parallel inputs topology and eliminate the threshold voltage compared to IMPLY logic. Nevertheless, larger numbers of memristor required to stable the output consistency in MAGIC NOR gate schematic.

QoS of Wi-Fi performance based on signal strength and channel for indoor campus network Adiba Abd Ghafar; Murizah Kassim; Norsuzila Ya’acob; Roslina Mohamad; Ruhani Ab Rahman
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

The implementation of Wi-Fi on campuses brings huge benefits for campus users in communications and education development. Some campuses face existing poor quality of service (QoS) on the Wi-Fi performance which is also unjustified and issues on unsatisfied connections. This research aims to analyses the Wi-Fi performance of the campus network for three indoor access points. Signal strength, usage percentage, channel utilization, and the number of clients count per access points are measured. Results show that 56% is the highest signal percentage and the lowest signal percentage is at 1%. Access point of Ustudent is the highest at 53% and lowest at 38%. The highest signal strength of -45dBm is found and the other two are below by -2 dBm. The lowest signal strength is at -95 dBm. SSID CCNA_1 is identified has the best signal strength compared to other SSIDs because it runs on 5 GHz frequency. The most channels used are channels 1, 4, and 6. Respectively 151, 67, and 57 users are connected to Ustudent, UHotspot, and CCNA_1. This study is significant for the QoS in a campus network in providing good network services. Thus, the QoS on Wi-Fi performance is improvised, monitored and analyzed for continues supports users in the campus network successfully.

Herbal plant recognition using deep convolutional neural network Izwan Asraf Md Zin; Zaidah Ibrahim; Dino Isa; Sharifah Aliman; Nurbaity Sabri; Nur Nabilah Abu Mangshor
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

This paper investigates the application of deep convolutional neural network (CNN) for herbal plant recognition through leaf identification. Traditional plant identification is often time-consuming due to varieties as well as similarities possessed within the plant species. This study shows that a deep CNN model can be created and enhanced using multiple parameters to boost recognition accuracy performance. This study also shows the significant effects of the multi-layer model on small sample sizes to achieve reasonable performance. Furthermore, data augmentation provides more significant benefits on the overall performance. Simple augmentations such as resize, flip and rotate will increase accuracy significantly by creating invariance and preventing the model from learning irrelevant features. A new dataset of the leaves of various herbal plants found in Malaysia has been constructed and the experimental results achieved 99% accuracy.

Digitizing food experience: Food taste perception on digital image and true form using hashtags Afdallyna Fathiyah Harun; Norhafiza Ruslan; Wan Adilah Wan Adnan; Saiful Izwan Suliman; Juhaida Ismail; Hanif Baharin
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Food experience is now omnipresent with the increased use of social media such as Instagram. Users often share food images or video which is often accompanied with #hashtags. Readers of the post are required to tap into their visual cognition and perception of what it represents. Little exploration has been done to understand if image can simulate food taste and how similar is the perception after user tasted the food. We were motivated to understand the difference of food taste perception on digital image and its true form by studying user hashtags. We applied the case study approach where we focused on a Malaysian dessert to compare user perception of the cakes’ dimension which are appearance, flavour, texture and hedonic. Using Instagram, users were requested to create hashtags that depict their taste perception of the cakes before and after tasting the cake. The hashtags were then analysed using content analysis where we found that the perception on digital image and true form had a degree of difference where many of the initial perception were inaccurate. This implies that visual images may not be able to facilitate accurate food taste perception and would need further technology interactivity to achieve the objective.

A preliminary study on digital image performance to stimulate food taste experience Nur Hasni Nasrudin; Afdallyna Fathiyah Harun
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Users and food marketers alike would share images of food in the hopes that viewers would be able to capture the emotion/sensation presented by the food. This is a form of food digitization, shifting away from the mechanical aspect of taste stimulation to the use of digitized visuals. This paper aim to evaluate the performance of taste perception made by users by just looking at food image. Using food images as a medium of taste stimulation, this paper reports international users’ perception of the taste of Malaysian local food through an online channel. By applying SPSS analysis, the author studied the patterns of similarity and dissimilarity of users’ perception of food images that have been compiled using an online survey. Interestingly observed, the results of the analysis enable the author to assess how close user perceptions were akin to the real taste. The author found that most user perceptions are closely matched with the food’s real taste which allows the author to conclude that visual media is possible in stimulating food taste experience. It is good news for food marketers and food tourism. Nevertheless, more samples of food images are required to further attest these findings.

Review on anomalous gait behavior detection using machine learning algorithms Hana’ Abd Razak; M. Ahmed M. Saleh; Nooritawati Md Tahir
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

A review on anomalous behavior in crime by other researchers is discussed in this study that focused specifically on the linkage between anomalous behaviors. Next, comprehensive reviews related to gait recognition in utilizing machine learning algorithms for detection and recognition of anomalous behavior is elaborated too. The review begins with the conventional approach of gait recognition that includes feature extraction and classification using PCA, OLS, ANN, and SVM. Further, the review focused on utilization of deep learning namely CNN for anomalous gait behavior detection and transfer learning using pre-trained CNNs such as AlexNet, VGG, and a few more. To the extent of our knowledge, very few studies investigated and explored crime related anomalous behavior based on their gaits, hence this will be the next study that we will explore.

Design of a wideband strip helical antenna for 5G applications Mohammed Yousif Zeain; M. Abu; Z. Zakaria; Ahmed Jamal Abdullah Al-Gburi; R. Syahputri; A. Toding; Sriyanto Sriyanto
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

This paper presents the design of wideband strip helical antenna for 5G application. The strip helical antenna is designed for 5G and wideband applications that provide a wide bandwidth and circular polarization. The helical antenna is planned on at 5.8 GHz frequency by using teflon material. The new designed strip is printed on a substrate then rolled into a helix shape to achieve circular polarization without an impedance matching and that the proposed antenna can be used for potential applications in wideband wireless communication. A wideband bandwidth of 2.41 GHz with a resonant frequency at 5.8 GHz is achieved by the helical antenna on the teflon substrate. The presented antenna on teflon substrate has achieved a gain of 11.2 dB. The antenna design parameters and the simulated results are achieved using the commercial software CST. The proposed antenna can be used for various wireless applications such as wideband, ultra wideband, 5G and wireless applications.

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