International Journal of Reconfigurable and Embedded Systems (IJRES)
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.
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<![CDATA[Hybrid fault tolerant cost aware mechanism for scientific workflow in cloud computing ]]>
<![CDATA[Doddaiah, Chaya T.]]>;
<![CDATA[Rafi, Mohamed]]>
<![CDATA[ International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijres.v13.i2.pp372-382
<![CDATA[Cloud computing provides solutions for diverse commercial and academic applications which is the primary goal. Scientific workflows are used in the cloud-computing environment to analyses large-scale scientific applications. For scientific workflows, many data is required, and a single scientific workflow that includes hundreds of stages, depending on the application's time restrictions, task failures, money limits, incorrect task organization, and task management issues can all hinder the implementation of scientific methods. In light of this, a cloud-based scientific workflow management and scheduling system that is fault-tolerant and data-oriented method are proposed. This research designs a novel hybrid cost-aware fault tolerant (HCFT) mechanism for minimizing the cost. Moreover, HCFT integrates optimal clustering and efficient resource utilization through parallel and distributed execution. Novelty of HCFT lies in novel clustering of the similar task for improvisation, CyberShake, laser interferometer gravitational wave observatory (LIGO), Montage, and sRNA identification protocol using high throughput technology (SIPHT) processes are used in the simulations to evaluate the performance of the proposed approach.]]>
<![CDATA[Low-cost electrocardiogram monitoring system for elderly people using LabVIEW ]]>
<![CDATA[Yauri, Ricardo]]>;
<![CDATA[Delgado, Max]]>;
<![CDATA[Flores, Enzo]]>;
<![CDATA[LLerena, Oscar]]>
<![CDATA[ International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijres.v13.i2.pp483-490
<![CDATA[Cardiovascular diseases increase due to factors such as obesity, an inadequate diet, and are a problem due to shortages of medical personnel and hospitals. In this case, the implementation of technological solutions is presented as a necessity to prevent heart diseases. Various approaches are used to design low-cost electrocardiogram (ECG) devices, from the use of Bluetooth technology to facilitate data transmission, to the development of wearable ECG devices that use artificial intelligence. The objective is to develop a monitoring system in LabVIEW to visualize the heart rhythms of older adults in the city of Lima (Peru), focusing on ease of use and adaptation to their needs, with the purpose of collaboration between health professionals. A development approach is used that encompasses design, implementation, and iterative testing, as well as practical evaluations and pilot testing. As a result, the correct functioning of the ECG device was validated. Electronic components and electrodes were integrated into the board to capture cardiac signals, energized with batteries and sending the information to an interface in LabVIEW. In conclusion, a portable ECG device has been developed that uses operational amplifiers (Op-amps) and analog filters to reduce noise in cardiac measurements and an intuitive interface in LabVIEW]]>
<![CDATA[Performance analysis of microstrip patch antenna for wireless communication systems ]]>
<![CDATA[Alagarsamy, Manjunathan]]>;
<![CDATA[Govindasamy, Santhakumar]]>;
<![CDATA[Suriyan, Kannadhasan]]>;
<![CDATA[Rajangam, Balamurugan]]>;
<![CDATA[Mariappan, Sivarathinabala]]>;
<![CDATA[Krishnan, Jothi Chitra Ratha]]>
<![CDATA[ International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijres.v13.i2.pp227-233
<![CDATA[An antenna may be thought of as a temporary tool that directs radio waves for transmission or reception. Aside from being inexpensive, small, easy to manufacture, and compatible with integrated electronics, the microstrip patch antenna (MPA) offers several other benefits as well. These two methods are often seen as low-cost, adaptable, dependable, high-speed data connection choices that promote user mobility. An overview of how MPA have been used throughout the last several decades is provided in this article. It has been suggested that there are many approaches to enhance the performance of MPA, including the use of composite antennas, highly integrated antenna/array and feeding networks, operating at relatively high frequencies, and using cutting-edge manufacturing methods. Dual or multiband antennas are essential for meeting the demands of wireless services in this rapidly evolving wireless communication environment. Here is an overview of the patch antenna literature for wireless local area network (WLAN) and worldwide interoperability for microwave access (WiMAX) applications.]]>
<![CDATA[Agriculture data analysis using parallel k-nearest neighbour classification algorithm ]]>
<![CDATA[Muninarayanappa, Vimala]]>;
<![CDATA[Ranjan, Rajeev]]>
<![CDATA[ International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijres.v13.i2.pp332-340
<![CDATA[A cost-effective and effective agriculture management system is created by utilizing data analytics (DA), internet of things (IoT), and cloud computing (CC). Geographic information system (GIS) technology and remote sensing predictions give users and stakeholders access to a variety of sensory data, including rainfall patterns and weather-related information (such as pressure, humidity, and temperatures). They have unstructured format for sensory data. The current systems do a poor job of analysing such data since they cannot effectively balance speed and memory usage. An effective categorization model (ECM) on agriculture management system is proposed to address this research difficulty. First, a classification technique called priority-based k-nearest neighbour (KNN) is provided to categorize unstructured multi-dimensional data into a structured form. Additionally, the Hadoop MapReduce (HMR) framework is used to do classification utilizing a parallel approach. Data from real-time IoT sensors used in agriculture is the subject of experiments. The suggested approach significantly outperforms previous approaches that are computing time, memory efficiency, model accuracy, and speedup.]]>
<![CDATA[Frequency reconfigurable microstrip patch antenna for multiband applications ]]>
<![CDATA[Abraham, Jacob]]>;
<![CDATA[Natarajan, Kirthika]]>;
<![CDATA[Andi, Senthilkumar]]>;
<![CDATA[Mariyarose, Jemin Vijayaselvan]]>;
<![CDATA[Alagarsamy, Manjunathan]]>;
<![CDATA[Suriyan, Kannadhasan]]>
<![CDATA[ International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijres.v13.i2.pp472-482
<![CDATA[Wireless communication technology is well-established, and several antennas have been developed and produced specifically for this purpose. However, antenna performance and communication system development need to be enhanced in order to adapt to the present era. The performance of the antenna is significantly influenced by its design. Thus, this work produced a novel wideband antenna design via the use of a frequency reconfigurable approach. In the recommended study, microstrip patch antennas (MPAs) were used in wideband applications to switch frequencies using shunt-series microelectromechanical systems (MEMS). The suggested antenna, which has two switches built into it, is tested in ON-ON, OFF-ON, and OFF-OFF switching scenarios. Radiation pattern, voltage standing wave ratio (VSWR), gain, bandwidth, and return loss are among the antenna performance metrics used to assess the suggested antenna's performance in each switching situation. The simulation findings suggest that the optimal antenna design for usage in wireless communication systems is one that works well with a shunt-series MEMS switch.]]>
<![CDATA[Design and implementation of an alcohol detection driver system ]]>
<![CDATA[Alabi, Oluwaseyi Omotayo]]>;
<![CDATA[Adeaga, Oyetunde Adeoye]]>;
<![CDATA[Ajagbe, Sunday Adeola]]>;
<![CDATA[Adekunle, Esther Oluwayemisi]]>;
<![CDATA[Adigun, Matthew Olusegun]]>
<![CDATA[ International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijres.v13.i2.pp278-285
<![CDATA[A technology called an alcohol detection driver system is used to stop drunk driving by identifying alcohol in a motorist's breath or blood. This technology correctly measures the amount of alcohol a driver has in their system using sensors and algorithms, and it stops the car from starting if the amount is more than the legal limit. The number of fatal accidents and traffic fatalities caused by drinking could be greatly decreased thanks to this technology. The main focus of this project is to carry out the experiment in lowering the number of alcohol-related incidents on the road. Alcohol detection devices come in a variety of forms right now, including ignition interlocks, passive alcohol sensors, and in-car breathalyzers. Although these systems have reduced the number of drunk driving accidents, there remain questions about their efficiency, dependability, and cost. According to the sensor's specs, the output voltage of the MQ-3 sensor reduces by 69% during the sensor's recovery period of 30 seconds at 69% of baseline resistance. To assess the long-term viability and efficiency of these systems in lowering alcohol-related accidents and enhancing traffic safety, more research is required.]]>
<![CDATA[Reliability analysis of GAN based transmit modules for active array antenna of phased array radar ]]>
<![CDATA[B., Sajidha Thabbasum]]>;
<![CDATA[Narasimhaiah, Veena Kalludi]]>
<![CDATA[ International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijres.v13.i2.pp450-457
<![CDATA[Reliability is one of the most important requirements in our day to day life considering consistency, availability and failure free performance of the product over it’s define mission time. As complexity of the system increases, design for reliable systems is a big challenge. The objective of the reliability prediction analysis is to evaluate the predicted reliability of the active transmit receive modules (TRMs) under specified operating conditions, and to demonstrate that the predicted reliability meets the requirements, also to identify any parts present in the design which leads to higher failure rates. The research shows reliability of generative adversarial network (GAN) based TRMs covering from design to finalization of components as early as practicable in today's short product lifecycles. Using the reliability prediction process, we describe a method for providing design engineers with reliability feedback on their decisions. Using a conventional reliability prediction model, the Telcordia (Bellcore) parts stress prediction model, and some standard rules of thumb, we describe an initial implementation of this technique. It provides systematic identification of likely modes of failure, possible effects of each failure, and the criticality of each failure with regard to reliability, system readiness, mission success, and demand for maintenance/logistic support.]]>
<![CDATA[Internet of things based smart photovoltaic panel monitoring system ]]>
<![CDATA[Kalaiarasi, Arcot Ramakrishnan]]>;
<![CDATA[Devi, Ayyadurai Chinnadurai Vasunthira]]>;
<![CDATA[Yeshwanth, Vijayan]]>;
<![CDATA[Pravinraj, Samuthiraraj]]>;
<![CDATA[Prabakaran, Muthu]]>
<![CDATA[ International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijres.v13.i2.pp341-351
<![CDATA[Solar energy has the potential to meet the entire world's energy requirements. Previous study revealed that photovoltaic (PV) panel monitoring methods are far more difficult and exclusive. This study examines and proposes an automated internet of things (IoT)-based PV panel monitoring system that allows autonomous monitoring of solar panel properties such as voltage, temperature, humidity, and sun irradiation from anywhere over the internet. Excessive human demand can be reduced by collecting data from solar panels. Many data sets can be collected frequently; for example, thousands of data points can be collected each minute. Continuous monitoring is achievable by gathering real-time data. Because there is no possibility of human error, highly accurate data can be generated.]]>
<![CDATA[Machine learning based education data mining through student session streams ]]>
<![CDATA[Hanumanthappa, Shashirekha]]>;
<![CDATA[Prakash, Chetana]]>
<![CDATA[ International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijres.v13.i2.pp383-394
<![CDATA[Recently, significant growth in using online-based learning stream (i.e., elearning systems) have been seen due to pandemic such as COVID-19. Forecasting student performance has become a major task as an institution is focusing on improving the quality of education and students' performance. Data mining (DM) employing machine learning (ML) techniques have been employed in the e-learning platform for analyzing student session streams and predicting academic performance with good effects. A recent, study shows ML-based methodologies exhibit when data is imbalanced. In addressing ensemble learning by combining multiple ML algorithms for choosing the best model according to data. However, the existing ensemblebased model does not incorporate feature importance into the student performance prediction model. Thus, exhibits poor performance, especially for multi-label classification. In addressing this, this paper presents an improved ensemble learning mechanism by modifying the XGBoost algorithm, namely modified XGBoost (MXGB). The MXGB incorporates an effective cross-validation scheme that learns correlation among features more efficiently. The experiment outcome shows the proposed MXGBabased student performance prediction model achieves much better prediction accuracy contrary to the state-of-art ensemble-based student performance prediction model.]]>
<![CDATA[An efficient floating point adder for low-power devices ]]>
<![CDATA[Narayanappa, Manjula]]>;
<![CDATA[Yellampalli, Siva S.]]>
<![CDATA[ International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 2: July 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijres.v13.i2.pp253-261
<![CDATA[With an increasing demand for power hungry data intensive computing, design methodologies with low power consumption are increasingly gaining prominence in the industry. Most of the systems operate on critical and noncritical data both. An attempt to generate a precision result results in excessive power consumption and results in a slower system. An attempt to generate a precision result results in excessive power consumption and results in a slower system. For non-critical data, approximate computing circuits significantly reduce the circuit complexity and hence power consumption. For non-critical data, approximate computing circuits significantly reduce the circuit complexity and hence power consumption. In this paper, a novel approximate single precision floating point adder is proposed with an approximate mantissa adder. The mantissa adder is designed with three 8-bit full adder blocks.]]>
