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Green Intelligent Systems and Applications

Journal Description

Green Intelligent Systems and Applications

Green Intelligent Systems and Applications (e-ISSN: 2809-1116) is an international, scientific, peer-reviewed, open-access journal on theoretical and applied sciences related to all aspects of green technologies and intelligent systems published biannually online by Tecno Scientifica.

Open Access
e-ISSN: 2809-1116
Recent Articles
Recent Articles
Design of Automatic Candy Mixer using Blynk and NodeMCU ESP8266
by Hugeng Hugeng, Khefin Khefin, Meirista Wulandari

Green Intell. Syst. Appl. 2022, 2(1), pp 1-6; - 27 February 2022

Candy has many variations based on shape, texture, and taste. The more variations of the product have an effect on more consumers, Candy products also have a lot of variety, which makes mixing candy an interesting task. The mixing process of candies is usually done by weighting them manually with conventional scales, so there are some deficiencies to be improved. The automatic candy mixer using Blynk and NodeMCU ESP8266 has been designed to be able to help with the process of mixing and weighting candy automatically. This device allows users to choose weight and candy types to be mixed, whether it is one type of candy or more, from the Blynk application and is operated using a microcontroller and sensor. The utilized sensor is a load cell sensor with 1% of calibration inaccuracy. Full text

Development of Hot Air Dryer Conveyor for Automotive Tampo Printing Parts
by Ali Rospawan, Joni Welman Simatupang, Irwan Purnama

Green Intell. Syst. Appl. 2022, 2(1), pp 34-41; - 7 April 2022

This paper presents the development of a hot air dryer conveyor for the automotive industry in the tampo printing part process. The research started by designing and creating the actual device that is ready to use and be implemented in the industry. The method provides the detail of the drying chamber, hot air dryer, and its mathematical model. The chosen hot air dryer is Suiden SHD-9F II and is operated on the factory default setting of auto-tuning mode. The performance evaluation studies the indicator performance of hot air dryer for the chosen size of drying chamber, the robustness of the system against fluctuating environmental air change rate, the ducting capacity, and the damper opening value estimation performance. The result of this system is working well at specification requirement of air change rate from 15 to 21 at 80% of its maximum capacity for error compensation and its already being successfully implemented. Full text

Open Access Article
Finite Impulse Response Filter for Electroencephalogram Waves Detection
by Melinda Melinda, Syahrial, Yunidar, Al Bahri, Muhammad Irhamsyah

Green Intell. Syst. Appl. 2022, 2(1), pp 7-19; - 7 April 2022

Electroencephalographic data signals consist of electrical signal activity with several characteristics, such as non-periodic patterns and small voltage amplitudes that can mix with noise making it difficult to recognize. This study uses several types of EEG wave signals, namely Delta, Alpha, Beta, and Gamma. The method we use in this study is the application of an impulse response filter to replace the noise obtained before and after the FIR filter is applied. In addition, we also analyzed the quality of several types of electroencephalographic signal waves by looking at the addition of the signal to noise ratio value. In the end, the results we get after applying the filter, the noise that occurs in some types of waves shows better results. Full text

Sarawak Traditional Dance Motion Analysis and Comparison using Microsoft Kinect V2
by Michael-Lian Gau, Huong Yong Ting, Jackie Tiew-Wei Ting, Marcella Peter, Khairunnisa Ibrahim

Green Intell. Syst. Appl. 2022, 2(1), pp 42-52; - 17 April 2022

This research project aimed to develop a software program or an interactive dance motion analysis application that utilizes modern technology to preserve and maintain the Sarawak traditional dance culture. The software program employs the Microsoft Kinect V2 to collect the digital dance data. The proposed method analyses the collected dance data for comparison purposes only. The comparison process was executed by displaying a traditional dance on the screen where the user who wants to learn the traditional dance can follow it and obtain results on how similar the dance is compared to the recorded dance data. The comparison of the performed and recorded dance data was visualized in graph form. The comparison graph showed that the Microsoft Kinect V2 sensors were capable of comparing the dance motion but with minor glitches in detecting the joint orientation. Using better depth sensors would make the comparison more accurate and less likely to have problems with figuring out how the joints move. Full text

Node Localization in a Network of Doppler Shift Sensor Using Multilateral Technique
by Akhigbe-mudu Thursday Ehis

Green Intell. Syst. Appl. 2022, 2(1), pp 20-33; - 7 April 2022

Localization is the process of determining the location of a target(s) in a given set of coordinates using a location system.However, due to environmental uncertainty and Doppler effects, mistakes in distance estimations are created in physical situations, resulting in erroneous target location. A range-based multilateration technique is presented to improve localization accuracy. Multilateration is the method of calculating a position based on the range measurements of three or more anchors, with each satellite acting as the sphere's center. The distance between the satellite and the receiver is represented by the sphere's radius. The intersection of four spherical surfaces determines the receiver's position. This study's approach proposes a simple measure for evaluating GRT based on reference node selection. The algorithm utilizes these reference nodes, seeking to determine the optimal location based on ranging error. It calculates GRT values for each of the three node combinations. This study evaluates the performance of range-based localization using the Multilateration Algorithm with a Correcting Factor. The correction factor is applied to both the anchor node and the node to be measured; hence, the localization error is significantly reduced. In terms of how much time and money it takes to run and how much hardware it costs, the new method is better than some of the current methods. Full text