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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,174 Documents
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Sentiment analysis using global vector and long short-term memory Kusum Kusum; Supriya P. Panda
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 1: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i1.pp414-422

Abstract

Tweet sentiment analysis is a Deep Learning study that is beneficial for automatically determining public opinion on a certain topic. Using the Long Short-Term Memory (LSTM) algorithm, this paper aims to proposes a Twitter analysis technique that divides Tweets into two categories (positive and negative). The Global Vector (GloVe) word embedding score is used to rate many selected words as network input. GloVe converts words into vectors by building a corpus matrix. The GloVe outperforms its prior model, owing to its smaller vector and corpora sizes. GloVe has a higher accuracy than the model word embedding word2vec, Continuous Bag of Word(CBoW), and word2vec Skip-gram. The preprocessed term variation was conducted to test the performance of sentiment classification. The test results show that this proposed method has succeeded in classifying with the best results with an accuracy of 95.61%.
Challenges and recent developments in solar tracking strategies for concentrated solar parabolic dish Franch Maverick A. Lorilla; Renyl Barroca
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1368-1378

Abstract

This contribution presents an overview of control strategies for parabolic dish concentrated solar power (PD-CSP) sun tracker technologies from the literature on different implementations. This paper also highlights the practical challenges in designing sun trackers for CSP applications. Solar radiation undergoes seasonal changes and transients from the cloud that is exceptionally challenging to manipulate. This paper may provide control engineers with technical information on high-precision solar dynamic tracking and optical accuracy by emphasizing the features, advantages, and limitations of different control techniques and algorithms. Implementation of efficient control strategies addresses concerns in amending dynamics and nonlinearities, thus improving the system responses and extending the operational timeline of CSP plants, which results in a reduced cost per kWh produced.
A compact miniaturized star fractal antenna for modern wireless applications Ibrahime Hassan Nejdi; Aziz El Fatimi; Youssef Rhazi; Mustapha Ait Lafkih; Seddik Bri; A. V. Senthil Kumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp785-793

Abstract

In this paper, six-band resonant fractal antenna architecture is proposed and fabricated. The ultimate shape is established after six iterations. The resonator is starshaped, and each iteration, a hexadecagon shape from the resonator is subtracted. The antenna is designed and calculated by the numerical simulation based on the finite element method (ANSYS HFSS) and finite integration technique (CST studio). The experimental measurements were performed by the vector network analyzer AVR ROHDE AND SCHWARZ ZVB20. The gain is 4.85 dB, and the bandwidth is 0.33 GHz. The antenna’s structure allows it to work effectively in the GSM, DCS, LTE, WiMAX, WLAN, and C bands. The designed patch has a compact size of (75×75×1.6) mm3 uses as a support the FR-4 substrate for wireless equipment.
Hybridization of zero forcing-minimum mean square error equalizer in multiple input multiple output system Damilare O. Akande; Zachaeus K. Adeyemo; Olakunle O. Arowolo; Olasunkanmi F. Oseni; Oluwole O. Obanisola
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp836-845

Abstract

Transmission of high data rate over multipath environment is associated with many wireless applications. However, this transmission results in high delay which leads to ISI distortion and causes high error. The existing LE in MIMO systems such as ZF equalizer used in addressing this problem reduces the ISI distortion completely but results in noise amplification. Likewise, MMSE equalizer only reduces the noise but cannot eliminate ISI. Therefore, this paper proposed a hybrid LE for Wi-Fi over Weibull fading channel. The hybridized ZF-MMSE equalizer was developed using conventional ZF and MMSE equalizers. Digital transmitted signal propagated over Weibull fading channel is received at the receiver through multiple antennas and then combined using MRC. The combined signal is then equalized using hybrid ZF-MMSE to eliminate both the ISI and the amplified noise. The developed model was simulated in MATLAB software environment and evaluation was performed using BER and Pout. The results obtained revealed that the hybrid ZF-MMSE equalizer gave better performance over existing equalizers in a MIMO system. Therefore, the proposed equalizer will help improve the performance of the Wi-Fi technology.
Design of proportional integral and derivative controller using particle swarm optimization technique for gimbal system Mohd Hafiez Ahmad; Khairuddin Osman; Sharatul Izah Samsudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp714-722

Abstract

This paper presents the development of an optimal proportional, integral and derivative (PID) controller for controlling camera gimbal on unmanned aerial systems (UAV). Three optimal controller improvements are obtained using the suggested particle swarm optimization (PSO) technique. The PSO algorithm is initially built and integrated with the PID controller to control the DC motor gimbal. Before comparing the performance of a DC motor with PSO-PID with a DC motor with Zeigler-Nichols controller, the impacts of iteration numbers are explored. Finally, bode analysis was conducted to validate the stability of the proposed PSO-PID controller. Simulation is conducted within the MATLAB environment to verify the system's performance in terms of settling time, steady-state error and overshoot. The simulation results show has a longer settling time (0.91656 sec) than the Ziegler-Nichols controller (0.14316 sec) but a shorter rising time (0.091686 sec) than the Ziegler-Nichols controller (0.00094 sec). Furthermore, the overshoot was lowered from 12.941% to 0.959% as a result. As a result, the suggested PSO-PID controller technique outperforms the Ziegler-Nichols controller in terms of overshoot and rise time. Further study will investigate the integration of other optimisation methodologies such as fuzzy logic for better performance.
Sentiment classification of delta robot trajectory control using word embedding and convolutional neural network Zendi Iklima; Trie Maya Kadarina; Muhammad Hafidz Ibnu Hajar
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 1: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i1.pp211-220

Abstract

Sentiment classification (SC) is an important research field in natural language processing (NLP) that classifying, extracting and recognizing subjective information from unstructured text, including opinions, evaluations, emotions, and attitudes. Human-robot interaction (HRI) also involves natural language processing, knowledge representation, and reasoning by utilizing deep learning, cognitive science, and robotics. However, sentiment classification for HRI is rarely implemented, especially to navigate a robot using the Indonesian Language which semantically dynamics when written in text. This paper proposes a sentiment classification of Bahasa Indonesia that supports the delta robot to move in particular trajectory directions. Navigation commands of the delta robot were vectorized using a word embedding method containing two-dimensional matrices to propose the classifier pattern such as convolutional neural network (CNN). The result compared the particular architecture of CNN, GloVe-CNN, and Word2Vec-CNN. As a classifier method, CNN models trained, validated, and tested with higher accuracy are 98.97% and executed in less than a minute. The classifier produces four navigation labels: right means 'kanan', left means 'kiri', top means 'atas', bottom means 'bawah', and multiplier factor. The classifier result is utilized to transform any navigation commands into direction along with end-effector coordinates.
Load balancing in cloud computing: an analytical review and proposal Santosh Kumar Maurya; Garima Sinha
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1530-1537

Abstract

Task scheduling or mapping of requests to machines with specified requirements becomes a very important problem to get optimized results. With the requests of many users, the machine can go under different conditions such as heavy load and minimum load. These various aspects can lead to system failure and loss of data. Hence the load must be balanced to beat the losses of the system. A load balancing concept described how different types of loads could be balanced with each machine. The load can be of memory, computation, and network. The paper mainly focuses on all kinds of load to provide a big view for load balancing in cloud computing. Along with a review of all load balancing techniques, the paper is also presenting a proposal to balance the load with decision theory. The proposed paper introduces the basic techniques and types for load balancing and their implications for innovation.
Flow incorporated neural network based lightweight video compression architecture Sangeeta Sangeeta; Preeti Gulia; Nasib Singh Gill
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp939-946

Abstract

The sudden surge in the video transmission over internet motivated the exploration of more promising and potent video compression architectures. Though the frame prediction based hand designed techniques are performing well and widely used but the recent deep learning based researches in this domain provided further directions of pure deep learning based next generation codecs. As the bandwidth over the internet is varying, adaptive bit rate representation is more suitable for video quality adjustment in tune with bandwidth variation. The proposed architecture comprises of end to end trainable video compression network consisting of majorly three modules namely-motion extension network, flow autoencoder and frame autoencoder. Frame autoencoder generates the individual compressed frames, flow autoencoder is used for optical flow based motion compensation chore and next frame is predicted by the motion extension network. The network is designed and evaluated in incremental manner. The analysis of the outcomes demonstrates the promising performance of the network quantitatively and qualitatively. Moreover, the results reveal that inclusion of optical flow based motion compensation network to the MotionNet architecture has enhanced the performance.
A survey of security and smart home automation based on internet of things technology Sarah Mohammed Shareef; Zainab Adnan Abbas; Zahraa Mohammed Hilal
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1581-1588

Abstract

The internet of things (IoT) refers to the physical tools that are embedded with Internet, software, electronics, sensors and network connectivity. This involves many different systems, for example, healthcare, smart home and so on. The security problem of the Internet of Things and the Smart Home infrastructure is considered, which has become an urgent issue due to the high popularity, low systemic research and the growth of threats to "us" (people seeking comfort) from "them" (surrounding things, which becoming increasingly intelligent, automated). The research is based both on a systemic, infrastructure understanding, and on an architectural, problem-oriented level. Key security risks for the infrastructure of various types-software and technical, technological, socio-psychological and others-were analyzed. The evolutionary problems of the internet of things and factors influencing the vulnerability of infrastructures have been investigated. In addition to traditional network security tasks, specific tasks (direct and reverse, for identification) are highlighted in IoT interactions and environments. This paper provides an overview of the related work in IoT, together with the open challenges and future research directions using Arduino platform (such as "thick server-thin client") to simulation modeling of time delay probability distribution based on identified simple model.
Efficient carry select 16-bit square root adder with complementary metal-oxide semiconductor implementation Pavitha Uppinakere Sathyanarayan; Mamtha Mohan; Sandeep Kakde; Annam Karthik
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 1: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i1.pp172-183

Abstract

The adder is the maximum usually used mathematics block in programs inclusive of central processing unit (CPU) and virtual sign processing. As a result, it is important to expand a space-saving, low-strength, high-overall performance adder circuit. The hassle is diagnosed to layout mathematics sub structures with minimized strength dissipation, low area, and minimal time postpone of common-sense circuits. In conventional carry select adder (CSA), the time required to generate the sum output is less than other basic adder circuits but the principal difficulty is the location because the variety of transistors used to put in force the CSA circuit is fairly more. So, the area increases because of which the overall power consumption of the circuit will be more. If it's far viable to lessen the variety of transistors used withinside the structure of CSA adder, then, the strength intake of the circuit may be decreased or even the reaction time will improve. By lowering the area of the adder circuit, the suggested solution intends to reduce power consumption and latency.

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