cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
International Journal of Reconfigurable and Embedded Systems (IJRES)
Published by Institute of Advanced Engineering and Science
ISSN : 20894864     EISSN : 27222608     DOI : -
Core Subject : Economy,
Economics, Econometrics & Finance
The centre of gravity of the computer industry is now moving from personal computing into embedded computing with the advent of VLSI system level integration and reconfigurable core in system-on-chip (SoC). Reconfigurable and Embedded systems are increasingly becoming a key technological component of all kinds of complex technical systems, ranging from audio-video-equipment, telephones, vehicles, toys, aircraft, medical diagnostics, pacemakers, climate control systems, manufacturing systems, intelligent power systems, security systems, to weapons etc. The aim of IJRES is to provide a vehicle for academics, industrial professionals, educators and policy makers working in the field to contribute and disseminate innovative and important new work on reconfigurable and embedded systems. The scope of the IJRES addresses the state of the art of all aspects of reconfigurable and embedded computing systems with emphasis on algorithms, circuits, systems, models, compilers, architectures, tools, design methodologies, test and applications.
Arjuna Subject : -
Articles 479 Documents
 32   33   34   35   36 
Internet of things and long range-based bridge slope early detection systems Umar, Nuraeni; Syarif, Syafruddin; Dewiani, Dewiani; Baharuddin, Merna
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i3.pp674-680

Abstract

This research proposes an internet of things and long range (LoRa)-based bridge slope status monitoring and warning system that is wireless, low-cost, and user-friendly, with continuous data sent. Bridge inspection officers can easily obtain bridge slope data via a web browser on a cell phone. The design uses Arduino integrated development environment software and an ITGMPU accelerometer sensors, TTGO ESP32, cellphones, successfully identified tilt angle variations from 0.11° to 15.2° were the research's outputs, and and they were continuously transmitted to the bridge inspection officer's mobile phone. Measurements of throughput, quality of service (QoS), and latency characteristics have been made to assess the internet network's performance. The network system performance statistics show an average measured network delay of 1.2 seconds, a throughput of 85 bps, and a QoS of 0%. Consequently, the system performs well and the internet network performance falls into the very good range.
Implementing hue-saturation-value filter and circle hough transform for object tracking on ball-wheeled robot Sugiarto, Kharis; Kusuma, Vicky Andria; Firdaus, Aji Akbar; Suprapto, Sena Sukmananda; Putra, Dimas Fajar Uman
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i1.pp52-58

Abstract

The ball-wheeled robot relies on a camera for receiving information on the object to be followed. Object tracing is one of the methods that can be used for detecting object movement. In recognizing objects around it, the robot requires an image analysis process that involves visual perception. Image processing is the process of processing and analyzing images that involves visual perception, and is characterized by input data and output information in the form of images. This is how the robot can see objects around it and then be assisted by computer vision to make a decision. The object tracking method with hue-saturation-value (HSV) colour filtering and shape recognition with circle hough transform (CHT) is applied to the ball-wheeled robot. The front vision of the robot uses HSV colour filtering with various test values to determine the thresholding value, and it was found that the ball could be identified up to a distance of 1,000 cm. To further improve the performance of recognizing the ball object, CHT was applied. It was found that the ball could be identified up to a distance of 700 cm. Furthermore, the ball can be identified in obstructed conditions up to 75%.
Affordable digital electronics for building a hybrid dynamic marker structure with infrared illumination light patterns Serrano-Pérez, Edgar; Soberanes-Martín, Anabelem
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i1.pp20-24

Abstract

This work deals with the integration of low-cost electronic devices that were integrated into constructing a dynamic maker that allows the triggering of augmented reality events. A hybrid structure was developed to combine the most favorable aspects of fiducial markers and dynamic markers. The lighting infrared patterns are effectively modifiable through the programming of an ESP8266 microcontroller card. To test the system, an infrared lighting pattern generated was detected through a digital camera, and an augmented reality application was implemented using a web page for displaying text. Electronic shift registers were used for the temporal storage of the infrared illumination pattern. The infrared illumination marker can’t be detected by human eyes, but it is easily recognized due to the inner black square shape embedded into a white wooden structure.
Leveraging the learning focal point algorithm for emotional intelligence Mansour, Salah Eddine; Sakhi, Abdelhak; Kzaz, Larbi; Sekkaki, Abderrahim
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i3.pp767-773

Abstract

One of the secrets of the success of the education process is taking into account the learner’s feelings. That is, the teacher must be characterized by high emotional intelligence (EI) to understand the student’s feelings in order to facilitate the indoctrination process for him. Within the framework of the project to create a robot teacher, we had to add this feature because of its importance. In this article, we create a computer application that classifies students' emotions based on deep learning and learning focal point (LFP) algorithm by analyzing facial expressions. That is, the robot will be able to know whether the student is happy, excited, or sad in order to deal with him appropriately.
A condition-based distributed approach for secured privacy preservation of nodes in wireless sensor networks IoT Kumara, Bharat; Padmanabhan, S. Anantha
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i2.pp441-449

Abstract

The fast expansion of wireless sensor network-internet of things (WSN-IoT) in recent years has led to the adoption of a vital infrastructure. Adversaries who work together to carry out privacy-related attacks and capture sensitive information from critical infrastructure for a range of personal, political, and commercial purposes, thus security and node preserving have been one of the key areas of research in WSN-IoT. Existing security and privacy research work focuses on cryptography, either which is less efficient, or it majorly focuses on securing the network, which further leads to exposing the nodes to the vulnerability in terms of privacy in the network. This research develops condition-based distributed privacy-preserving (CDPP) approach to preserve the sensor node privacy; the CDPP algorithm develops a condition based on which the nodes' vulnerable information is preserved and not accessed by the compromised nodes. CDPP architecture is evaluated considering the amount of misclassified nodes for safeguarding the node in the network. CDPP is evaluated by inducing the corrupt nodes and further comparing the model with existing low energy adaptive clustering hierarchy (LEACH) based on classification, misclassification and throughput. Furthermore, comparative analysis proves the marginal improvisation in terms of discussed parameter against existing protocol.
Deep learning-based channel estimation with application to 5G and beyond networks Jayashankar, Parinitha; Nanjundaiah, Shobha Byrappa
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i2.pp271-277

Abstract

Channel state information (CSI) feedback estimation for a downlink medium in a massive multiple input multiple output (MIMO) system is an essential and critical task to improve channel capacity and performance yield, especially in a frequency division duplex (FDD) multiplexing system. However, spectral efficiency degradation is a massive issue due to high channel feedback overhead. This work proposes a deep learning-based channel estimation (DLCE) model to improve channel reconstruction efficiency and channel overhead reduction accuracy. The proposed deep learning (DL) mechanism consists of encoder and decoder network where encoder network is utilized to compress CSI matrices whereas decoder network is used to decompress obtained CSI matrices. Here, inverse discrete Fourier transform (IDFT) method is utilized to convert CSI matrices of frequency domain into CSI matrices of delay domain. Simulation results are evaluated between uplink and downlink medium in the massive MIMO system considering a co-operation in science and technology (COST) 2,100 model. Here, a significant improvement in correlation and normalized mean square error (NMSE) results is observed. The proposed DLCE model shows superior performance against varied channel estimation techniques in terms of NMSE and correlation efficiency.
Noise coupling reduction using temperature enhanced device for future integrated circuit integration applications Siva Kumar, Malagonda; Mohanraj, Jayavelu
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i2.pp307-314

Abstract

Information technology-to-internet of things may have succeeded because of fast silicon chip capability expansion. Moore's law, which reduces device size, boosted integrated circuit (IC) performance. Delay rises with highdensity connection parasitic capacitance. Interconnect delays have surpassed transistor delays and slowed progress. An alternative is required now to reduce connection latency. The third dimension is used in popular 3D IC technology IC technology requires through silicon via (TSV) for signal integrity and heat mitigation. Noise coupling hinders electrical communication between signal-carrying TSVs (aggressive TSVs) and ground TSVs (victim TSVs), a 3D IC bottleneck. TSVs must be dielectrically insulated from Si substrates to avoid electrical signal interference. Additionally, first-order modelling will confirm the suggestions. This article proposes using the nanosheet field effect transistor (NSFET) to overcome 3D IC noise coupling and complementary metal oxide semiconductor (CMOS) technology nodes. After discussing the electronic industry and sub nm, several basic metrics and criteria for developing electronic components are presented. The first technique uses Perylene-N's exceptional noise-cancelling characteristics. Second technique uses electrical TSV (ETSV), thermal TSV (TTSV), and heat source models to measure noise coupling on numerous ICs. The third proposes many noise-reducing materials. The suggested structures outperform traditional approaches.
Design of a linear motor-based magnetic levitation train prototype Mohd Zaidi, Muhammad Syafiq; Mohd Hassan, Siti Lailatul; Abdul Halim, Ili Shairah; Sulaiman, Nasri
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i3.pp560-567

Abstract

This study explores the modelling of a magnetic levitation train and its implementation using a microcontroller. Magnetic levitation (maglev) is a technology that enables vehicles to levitate and move without wheels. Maglev research has been conducted globally, but maglev trains haven't received much attention. Due to the sophisticated linear motor technology for contactless transit, building a maglev train requires enormous investments. This paper is crucial for understanding the linear motor technologies necessary for levitation and propulsion. The primary objectives of this study include creating a model of the maglev train using a linear motor circuit, investigating the maglev effect concerning different coil and magnet types, and monitoring the train's propulsion and levitation using a microcontroller. This work constructs a linear motor system for the maglev train, comprising a mechanical structure with a permanent magnet for levitation and electromagnets for propulsion. A microcontroller is employed to sense the magnetic field, produced by the permanent magnet and electromagnets. In summary, this paper successfully designed a maglev train prototype using a linear motor circuit to establish the repulsive mechanism for both levitation and propulsion, with levitation~1 cm from the track and demonstrated the ability to move along a 30 cm track.
Design of Arduino UNO based smart irrigation system for real time applications Ramasamy, Palanisamy; Pandian, Nagarajan; Mayathevar, Krishnamurthy; Ravindran, Ramkumar; Kandula, Srinivasa Rao; Devadoss, Selvabharathi; Kuppusamy, Selvakumar
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i1.pp105-110

Abstract

The fundamental principle of the paper is that the soil moisture sensor obtains the moisture content level of the soil sample. The water pump is automatically activated if the moisture content is insufficient, which causes water to flow into the soil. The water pump is immediately turned off when the moisture content is high enough. Smart home, smart city, smart transportation, and smart farming are just a few of the new intelligent ideas that internet of things (IoT) includes. The goal of this method is to increase productivity and decrease manual labour among farmers. In this paper, we present a system for monitoring and regulating water flow that employs a soil moisture sensor to keep track of soil moisture content as well as the land’s water level to keep track of and regulate the amount of water supplied to the plant. The device also includes an automated led lighting system.
Innovative systems for the detection of air particles in the quarries of the Western Rif, Morocco Fattah, Ghizlane; Mabrouki, Jamal; Ghrissi, Fouzia; Elouardi, Mohamed
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i1.pp117-125

Abstract

In a world where climate change looms large the spotlight often shines on greenhouse gases, but the shadow of man-made aerosols should not be underestimated. These tiny particles play a pivotal role in disrupting Earth's radiative equilibrium, yet many mysteries surround their influence on various physical aspects of our planet. The root of these mysteries lies in the limited data we have on aerosol sources, formation processes, conversion dynamics, and collection methods. Aerosols, composed of particulate matter (PM), sulfates, and nitrates, hold significant sway across the hemisphere. Accurate measurement demands the refinement of in-situ, satellite, and ground-based techniques. As aerosols interact intricately with the environment, their full impact remains an enigma. Enter a groundbreaking study in Morocco that dared to compare an internet of thing (IoT) system with satellite-based atmospheric models, with a focus on fine particles below 10 and 2.5 micrometers in diameter. The initial results, particularly in regions abundant with extraction pits, shed light on the IoT system's potential to decode aerosols' role in the grand narrative of climate change. These findings inspire hope as we confront the formidable global challenge of climate change.

Page 34 of 48 | Total Record : 479

 32   33   34   35   36 

Filter by Year

2012 2026


Reset
Filter By Issues
All Issue Vol 15, No 1: March 2026 Vol 14, No 3: November 2025 Vol 14, No 2: July 2025 Vol 14, No 1: March 2025 Vol 13, No 3: November 2024 Vol 13, No 2: July 2024 Vol 13, No 1: March 2024 Vol 12, No 3: November 2023 Vol 12, No 2: July 2023 Vol 12, No 1: March 2023 Vol 11, No 2: July 2022 Vol 11, No 1: March 2022 Vol 10, No 3: November 2021 Vol 10, No 2: July 2021 Vol 10, No 1: March 2021 Vol 9, No 3: November 2020 Vol 9, No 2: July 2020 Vol 9, No 1: March 2020 Vol 8, No 3: November 2019 Vol 8, No 2: July 2019 Vol 8, No 1: March 2019 Vol 7, No 3: November 2018 Vol 7, No 2: July 2018 Vol 7, No 1: March 2018 Vol 6, No 3: November 2017 Vol 6, No 2: July 2017 Vol 6, No 1: March 2017 Vol 5, No 3: November 2016 Vol 5, No 2: July 2016 Vol 5, No 1: March 2016 Vol 4, No 3: November 2015 Vol 4, No 2: July 2015 Vol 4, No 1: March 2015 Vol 3, No 3: November 2014 Vol 3, No 2: July 2014 Vol 3, No 1: March 2014 Vol 2, No 3: November 2013 Vol 2, No 2: July 2013 Vol 2, No 1: March 2013 Vol 1, No 3: November 2012 Vol 1, No 2: July 2012 Vol 1, No 1: March 2012 More Issue