Pub Date : 2023-11-01DOI: 10.11591/ijres.v12.i3.pp329-335
Vicky Andria Kusuma, Hamzah Arof, S. S. Suprapto, Bambang Suharto, Rizky Amalia Sinulingga, Fadli Ama
As technology continues to advance, governments around the world have implemented health protocols to minimize direct contact between individuals and objects, in response to the ongoing COVID-19 outbreak. To address this need, a touchless parking portal was designed using a microcontroller-based and internet of things (IoT) -based system, with the Arduino UNO microcontroller device serving as the core component. The system employs an ultrasonic sensor HC-SR04 and passive infrared (PIR) to detect vehicles as they arrive at the portal area, in addition to requiring an ESP32-CAM camera, servo motor, light-emitting diode (LED), I2C 16x2 liquid crystal display (LCD), push button, universal serial bus (USB) to transistor-transistor logic (TTL) converter, power supply, and portal bar. The system builder software was developed using Arduino integrated development environment (IDE), Android, and Blynk. The authors conducted thorough testing and analysis of the system, concluding that its overall performance reaches 100%. Nevertheless, despite the extensive experimentation conducted, there remains a possibility that certain factors could still affect the results. Therefore, caution is advised when interpreting the outcomes of this experiment.
{"title":"An internet of things-based touchless parking system using ESP32-CAM","authors":"Vicky Andria Kusuma, Hamzah Arof, S. S. Suprapto, Bambang Suharto, Rizky Amalia Sinulingga, Fadli Ama","doi":"10.11591/ijres.v12.i3.pp329-335","DOIUrl":"https://doi.org/10.11591/ijres.v12.i3.pp329-335","url":null,"abstract":"As technology continues to advance, governments around the world have implemented health protocols to minimize direct contact between individuals and objects, in response to the ongoing COVID-19 outbreak. To address this need, a touchless parking portal was designed using a microcontroller-based and internet of things (IoT) -based system, with the Arduino UNO microcontroller device serving as the core component. The system employs an ultrasonic sensor HC-SR04 and passive infrared (PIR) to detect vehicles as they arrive at the portal area, in addition to requiring an ESP32-CAM camera, servo motor, light-emitting diode (LED), I2C 16x2 liquid crystal display (LCD), push button, universal serial bus (USB) to transistor-transistor logic (TTL) converter, power supply, and portal bar. The system builder software was developed using Arduino integrated development environment (IDE), Android, and Blynk. The authors conducted thorough testing and analysis of the system, concluding that its overall performance reaches 100%. Nevertheless, despite the extensive experimentation conducted, there remains a possibility that certain factors could still affect the results. Therefore, caution is advised when interpreting the outcomes of this experiment.","PeriodicalId":158991,"journal":{"name":"International Journal of Reconfigurable and Embedded Systems (IJRES)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114845254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.11591/ijres.v12.i3.pp345-350
S. S. Suprapto, Vicky Andria Kusuma, M. Farid, Muhammad Agung Nursyeha, Kharis Sugiarto, Aji Akbar Firdaus, Dimas Fajar Uman Putra
Muscles are an important organ in the movement of the body's skeleton to carry out sports activities. Measurement of muscle activity during the exercise process can be done using electromyography (EMG). This research uses Myoware muscle sensor (AT-04-001) which is integrated with Arduino Uno and Xbee to monitor biceps brachii muscle fatigue wirelessly. Fatigue data processing is carried out objectively using the envelope and sliding window method and subjectively verbally from the respondents. From this study, it was found that muscle fatigue can be measured using the method objectively when there is an increase in EMG amplitude with a window size of 5 s. The indication of biceps brachii muscle fatigue for the right arm is stronger to withstand the load during exercise with the average duration of the measurement of the right arm is 41.87 s from 69.67 s; 53.53 s from 98.90 s and 76.87 s from 98.80 s with the ratio of the left arm tending to fatigue more quickly is 23.53 s from 42.13 s; 41.87 s from 51.60 s and 23.53 s from 44.73 s.
{"title":"Gym training muscle fatigue monitoring using EMG myoware and arduino with envelope and sliding window methods","authors":"S. S. Suprapto, Vicky Andria Kusuma, M. Farid, Muhammad Agung Nursyeha, Kharis Sugiarto, Aji Akbar Firdaus, Dimas Fajar Uman Putra","doi":"10.11591/ijres.v12.i3.pp345-350","DOIUrl":"https://doi.org/10.11591/ijres.v12.i3.pp345-350","url":null,"abstract":"Muscles are an important organ in the movement of the body's skeleton to carry out sports activities. Measurement of muscle activity during the exercise process can be done using electromyography (EMG). This research uses Myoware muscle sensor (AT-04-001) which is integrated with Arduino Uno and Xbee to monitor biceps brachii muscle fatigue wirelessly. Fatigue data processing is carried out objectively using the envelope and sliding window method and subjectively verbally from the respondents. From this study, it was found that muscle fatigue can be measured using the method objectively when there is an increase in EMG amplitude with a window size of 5 s. The indication of biceps brachii muscle fatigue for the right arm is stronger to withstand the load during exercise with the average duration of the measurement of the right arm is 41.87 s from 69.67 s; 53.53 s from 98.90 s and 76.87 s from 98.80 s with the ratio of the left arm tending to fatigue more quickly is 23.53 s from 42.13 s; 41.87 s from 51.60 s and 23.53 s from 44.73 s.","PeriodicalId":158991,"journal":{"name":"International Journal of Reconfigurable and Embedded Systems (IJRES)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116103322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.11591/ijres.v12.i3.pp414-422
Dvsrbm Subrahmanyam, J. Manikandan
In the course of this study, an eco-friendly alternative fuel was manufactured by transesterifying waste oils with the help of alcohol and a catalyst. As required by the American society for testing and materials (ASTM) requirements, we conducted an analysis on the acquired waste cooking oil biofuel (WOB) to determine its most important properties. We were successful in producing three separate fuel mixes, which we will refer to as BF100WOB0 (100% diesel), BF80WOB20 (80% diesel and 20% biofuel), and BF0WOB100 (100% biofuel) respectively. This research used a diesel engine with direct injection; the engine had a single cylinder, and the computer that operated it was located in the cabin. The results showed that the BF80WOB20 had a 3.8% increase in fuel consumption and a 1.4% loss in thermal efficiency while it was at a temperature of 26.5° b top dead center (TDC) conditions with low injection time led to decreased levels of both nitrogen oxides (NOx) and hartridge smoke level (HSL) emissions. The addition of 20% WOB to the fundamental fuel improved the engine combustion characteristics at 26.5° b TDC. This improvement occurred at the same time.
{"title":"Experimental study on the effects of injection timing using reuse of waste energy as a fuel on a diesel engine","authors":"Dvsrbm Subrahmanyam, J. Manikandan","doi":"10.11591/ijres.v12.i3.pp414-422","DOIUrl":"https://doi.org/10.11591/ijres.v12.i3.pp414-422","url":null,"abstract":"In the course of this study, an eco-friendly alternative fuel was manufactured by transesterifying waste oils with the help of alcohol and a catalyst. As required by the American society for testing and materials (ASTM) requirements, we conducted an analysis on the acquired waste cooking oil biofuel (WOB) to determine its most important properties. We were successful in producing three separate fuel mixes, which we will refer to as BF100WOB0 (100% diesel), BF80WOB20 (80% diesel and 20% biofuel), and BF0WOB100 (100% biofuel) respectively. This research used a diesel engine with direct injection; the engine had a single cylinder, and the computer that operated it was located in the cabin. The results showed that the BF80WOB20 had a 3.8% increase in fuel consumption and a 1.4% loss in thermal efficiency while it was at a temperature of 26.5° b top dead center (TDC) conditions with low injection time led to decreased levels of both nitrogen oxides (NOx) and hartridge smoke level (HSL) emissions. The addition of 20% WOB to the fundamental fuel improved the engine combustion characteristics at 26.5° b TDC. This improvement occurred at the same time.","PeriodicalId":158991,"journal":{"name":"International Journal of Reconfigurable and Embedded Systems (IJRES)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114246285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research looks about a counsel structure that uses degree-supervised snitch to consider allocated sensor networks. Level managed snitch is a proposed process that combines evening out and invading together. This strategy reduces the number of possible messages by delivering them via the base station mechanism, hence increasing the sensor neighborhood’s presence time. The sensor district, which contains numerous sensor centers, is dynamically assigned into phases of extended clear by the use of various energy ranges at the base station. The game design divides the entire sensor neighborhood into distinct concentric zones based on distance from the base station, with the group being routed from high-capacity center to center locations within the lower-capacity zone. The transmission of information proximity of the forest fire to the base station will increase the opportunity. The primary benefit of the display is that it sends a basic event with a higher probability while also conserving the presence time of the neighborhood destiny noticing.
{"title":"An effective gossip routing based wireless sensor network framework for forest fire detection","authors":"Manjunathan Alagarsamy, Sathya Selvaraj Sinnasamy, Indhumathi Gopal, Radhika Kuppusamy, Anwar Basha Haffishthullah, K. Suriyan","doi":"10.11591/ijres.v12.i3.pp392-402","DOIUrl":"https://doi.org/10.11591/ijres.v12.i3.pp392-402","url":null,"abstract":"This research looks about a counsel structure that uses degree-supervised snitch to consider allocated sensor networks. Level managed snitch is a proposed process that combines evening out and invading together. This strategy reduces the number of possible messages by delivering them via the base station mechanism, hence increasing the sensor neighborhood’s presence time. The sensor district, which contains numerous sensor centers, is dynamically assigned into phases of extended clear by the use of various energy ranges at the base station. The game design divides the entire sensor neighborhood into distinct concentric zones based on distance from the base station, with the group being routed from high-capacity center to center locations within the lower-capacity zone. The transmission of information proximity of the forest fire to the base station will increase the opportunity. The primary benefit of the display is that it sends a basic event with a higher probability while also conserving the presence time of the neighborhood destiny noticing.","PeriodicalId":158991,"journal":{"name":"International Journal of Reconfigurable and Embedded Systems (IJRES)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130082806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Smart surveillance systems play an important role in security today. The goal of security systems is to protect users against fires, car accidents, and other forms of violence. The primary function of these systems is to offer security in residential areas. In today’s culture, protecting our homes is critical. Surveillance, which ranges from private houses to large corporations, is critical in making us feel safe. There are numerous machine learning algorithms for home security systems; however, the deep learning convolutional neural network (CNN) technique outperforms the others. The Keras, Tensorflow, Cv2, Glob, Imutils, and PIL libraries are used to train and assess the detection method. A web application is used to provide a user-friendly environment. The flask web framework is used to construct it. The flash-mail, requests, and telegram application programming interface (API) apps are used in the alerting approach. The surveillance system tracks abnormal activities and uses machine learning to determine if the scenario is normal or not based on the acquired image. After capturing the image, it is compared with the existing dataset, and the model is trained using normal events. When there is an anomalous event, the model produces an output from which the mean distance for each frame is calculated.
{"title":"Smart surveillance using deep learning","authors":"Amsaveni Avinashiappan, Harshavarthan Thiagarajan, Harshwarth Coimbatore Mahesh, Rohith Suresh","doi":"10.11591/ijres.v12.i3.pp423-432","DOIUrl":"https://doi.org/10.11591/ijres.v12.i3.pp423-432","url":null,"abstract":"Smart surveillance systems play an important role in security today. The goal of security systems is to protect users against fires, car accidents, and other forms of violence. The primary function of these systems is to offer security in residential areas. In today’s culture, protecting our homes is critical. Surveillance, which ranges from private houses to large corporations, is critical in making us feel safe. There are numerous machine learning algorithms for home security systems; however, the deep learning convolutional neural network (CNN) technique outperforms the others. The Keras, Tensorflow, Cv2, Glob, Imutils, and PIL libraries are used to train and assess the detection method. A web application is used to provide a user-friendly environment. The flask web framework is used to construct it. The flash-mail, requests, and telegram application programming interface (API) apps are used in the alerting approach. The surveillance system tracks abnormal activities and uses machine learning to determine if the scenario is normal or not based on the acquired image. After capturing the image, it is compared with the existing dataset, and the model is trained using normal events. When there is an anomalous event, the model produces an output from which the mean distance for each frame is calculated.","PeriodicalId":158991,"journal":{"name":"International Journal of Reconfigurable and Embedded Systems (IJRES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130904116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.11591/ijres.v12.i3.pp496-502
Khyati Chavda, A. Sarvaiya
This paper presents a novel reconfigurable bandpass filter with three reconfigurable states used for C band wireless applications. The frequency reconfigurable is achieved using the combination of a different microstrip coupled resonator structure and switching device as PIN diodes. The open-loop filter structure provides three narrow band states at 5.1, 5.2, and 5.8 GHz. The frequency reconfiguration is obtained without compromising performances. The compact size of the proposed designed along with the targeted frequency bands at lower wireless local area network (WLAN) (5.1, 5.2 GHz), and worldwide interoperability for microwave access (WiMAX) (5.8 GHz) applications. The prototype is constructed on an RT duroid 5880 substrate and tested for validation in vector network analyzer (VNA). The designed filter provides excellent selectivity and good rejection at desired resonant frequencies.
{"title":"Design and development frequency reconfigurable microwave filter for wireless application","authors":"Khyati Chavda, A. Sarvaiya","doi":"10.11591/ijres.v12.i3.pp496-502","DOIUrl":"https://doi.org/10.11591/ijres.v12.i3.pp496-502","url":null,"abstract":"This paper presents a novel reconfigurable bandpass filter with three reconfigurable states used for C band wireless applications. The frequency reconfigurable is achieved using the combination of a different microstrip coupled resonator structure and switching device as PIN diodes. The open-loop filter structure provides three narrow band states at 5.1, 5.2, and 5.8 GHz. The frequency reconfiguration is obtained without compromising performances. The compact size of the proposed designed along with the targeted frequency bands at lower wireless local area network (WLAN) (5.1, 5.2 GHz), and worldwide interoperability for microwave access (WiMAX) (5.8 GHz) applications. The prototype is constructed on an RT duroid 5880 substrate and tested for validation in vector network analyzer (VNA). The designed filter provides excellent selectivity and good rejection at desired resonant frequencies.","PeriodicalId":158991,"journal":{"name":"International Journal of Reconfigurable and Embedded Systems (IJRES)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121179917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.11591/ijres.v12.i3.pp384-391
S. Aouad, Issam El Meghrouni, Yassine Sabri, A. Hilmani, A. Maizate
In software-defined networking (SDN), network traffic is managed by software controllers or application programming interfaces (APIs) rather than hardware components. It differs from traditional networks, which use switches and routers to control traffic. Using SDN, you can create and control virtual networks or traditional hardware networks. Furthermore, OpenFlow allows network administrators to control exact network behavior through centralized control of packet forwarding. For these reasons, SDN has advantages over certain security issues, unlike traditional networks. However, most of the existing vulnerabilities and security threats in the traditional network also impact the SDN network. This document presents the attacks targeting the SDN network and the solutions that protect against these attacks. In addition, we introduce a variety of SDN security controls, such as intrusion detection systems (IDS)/intrusion prevention system (IPS), and firewalls. Towards the end, we outline a conclusion and perspectives.
{"title":"Security of software defined networks: evolution and challenges","authors":"S. Aouad, Issam El Meghrouni, Yassine Sabri, A. Hilmani, A. Maizate","doi":"10.11591/ijres.v12.i3.pp384-391","DOIUrl":"https://doi.org/10.11591/ijres.v12.i3.pp384-391","url":null,"abstract":"In software-defined networking (SDN), network traffic is managed by software controllers or application programming interfaces (APIs) rather than hardware components. It differs from traditional networks, which use switches and routers to control traffic. Using SDN, you can create and control virtual networks or traditional hardware networks. Furthermore, OpenFlow allows network administrators to control exact network behavior through centralized control of packet forwarding. For these reasons, SDN has advantages over certain security issues, unlike traditional networks. However, most of the existing vulnerabilities and security threats in the traditional network also impact the SDN network. This document presents the attacks targeting the SDN network and the solutions that protect against these attacks. In addition, we introduce a variety of SDN security controls, such as intrusion detection systems (IDS)/intrusion prevention system (IPS), and firewalls. Towards the end, we outline a conclusion and perspectives.","PeriodicalId":158991,"journal":{"name":"International Journal of Reconfigurable and Embedded Systems (IJRES)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122337661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.11591/ijres.v12.i3.pp376-383
Nagveni B. Sangolgi, S. Sasikala
Taking into account how brain tumors and gliomas are notorious forms of cancer, the medical field has found several methods to diagnose these diseases, with many algorithms that can segment out the cancer cells in the magnetic resonance imaging (MRI) scans of the brain. This paper has proposed a similar segmenting algorithm called a custom administering attention module. This solution uses a custom U-Net model along with a custom administering attention module that uses an attention mechanism to classify and segment the glioma cells using long-range dependency of the feature maps. The customizations lead to a reduction in code complexity and memory cost. The final model has been tested on the BraTS 2019 dataset and has been compared with other state-of-the-art methods for displaying how much better the proposed model has performed in the category of enhancing, non-enhancing and peritumoral gliomas.
{"title":"Custom administering attention module for segmentation of magnetic resonance imaging of the brain","authors":"Nagveni B. Sangolgi, S. Sasikala","doi":"10.11591/ijres.v12.i3.pp376-383","DOIUrl":"https://doi.org/10.11591/ijres.v12.i3.pp376-383","url":null,"abstract":"Taking into account how brain tumors and gliomas are notorious forms of cancer, the medical field has found several methods to diagnose these diseases, with many algorithms that can segment out the cancer cells in the magnetic resonance imaging (MRI) scans of the brain. This paper has proposed a similar segmenting algorithm called a custom administering attention module. This solution uses a custom U-Net model along with a custom administering attention module that uses an attention mechanism to classify and segment the glioma cells using long-range dependency of the feature maps. The customizations lead to a reduction in code complexity and memory cost. The final model has been tested on the BraTS 2019 dataset and has been compared with other state-of-the-art methods for displaying how much better the proposed model has performed in the category of enhancing, non-enhancing and peritumoral gliomas.","PeriodicalId":158991,"journal":{"name":"International Journal of Reconfigurable and Embedded Systems (IJRES)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131028769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.11591/ijres.v12.i3.pp462-477
Abdulkareem Mokif Obais, Ali Abdulkareem Mukheef
In this paper, a load balancing system is designed to balance the secondary phase currents of 11 kV/380 V, 50 Hz, 100 kVA power transformer in a three phase 4-wire, distribution network. The load balancing system is built of six identical modified static synchronous compensators (M-STATCOMs). Each M-STATCOM is constructed of a voltage source converter-based H-bridge controlled in capacitive and inductive modes as a linear compensating susceptance. The M-STATCOM current is controlled by varying its angle such that it exchanges pure reactive current with the utility grid. Three identical M-STATCOMs are connected in delta-form to balance the active phase currents of the power transformer, whereas the other three identical M-STATCOMs are connected in star-form to compensate for reactive currents. The M-STATCOMs in the delta-connected compensator are driven by 380 V line-to-line voltages, whilst, those connected in star-form are driven by 220 V phase voltages. The results of the 220 V and 380 V M-STATCOMs have exhibited linear and continuous control in capacitive and inductive regions of operation without steady-state harmonics. The proposed load balancing system has offered high flexibility during treating moderate and severe load unbalance conditions. It can involve any load unbalance within the power transformer current rating and even unbalance cases beyond the power transformer current rating.
{"title":"Balancing of four wire loads using linearized H-bridge static synchronous compensators","authors":"Abdulkareem Mokif Obais, Ali Abdulkareem Mukheef","doi":"10.11591/ijres.v12.i3.pp462-477","DOIUrl":"https://doi.org/10.11591/ijres.v12.i3.pp462-477","url":null,"abstract":"In this paper, a load balancing system is designed to balance the secondary phase currents of 11 kV/380 V, 50 Hz, 100 kVA power transformer in a three phase 4-wire, distribution network. The load balancing system is built of six identical modified static synchronous compensators (M-STATCOMs). Each M-STATCOM is constructed of a voltage source converter-based H-bridge controlled in capacitive and inductive modes as a linear compensating susceptance. The M-STATCOM current is controlled by varying its angle such that it exchanges pure reactive current with the utility grid. Three identical M-STATCOMs are connected in delta-form to balance the active phase currents of the power transformer, whereas the other three identical M-STATCOMs are connected in star-form to compensate for reactive currents. The M-STATCOMs in the delta-connected compensator are driven by 380 V line-to-line voltages, whilst, those connected in star-form are driven by 220 V phase voltages. The results of the 220 V and 380 V M-STATCOMs have exhibited linear and continuous control in capacitive and inductive regions of operation without steady-state harmonics. The proposed load balancing system has offered high flexibility during treating moderate and severe load unbalance conditions. It can involve any load unbalance within the power transformer current rating and even unbalance cases beyond the power transformer current rating.","PeriodicalId":158991,"journal":{"name":"International Journal of Reconfigurable and Embedded Systems (IJRES)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123487740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this research, a hybrid wrapper model is proposed to identify the featured gene subset from the gene expression data. To balance the gap between exploration and exploitation, a hybrid model with a popular meta-heuristic algorithm named spider monkey optimizer (SMO) and simulated annealing (SA) is applied. In the proposed model, ReliefF is used as a filter to obtain the relevant gene subset from dataset by removing the noise and outliers prior to feeding the data to the wrapper SMO. To enhance the quality of the solution, simulated annealing is deployed as local search with the SMO in the second phase, which will guide to the detection of the most optimal feature subset. To evaluate the performance of the proposed model, support vector machine (SVM) as a fitness function to recognize the most informative biomarker gene from the cancer datasets along with University of California, Irvine (UCI) datasets. To further evaluate the model, 4 different classifiers (SVM, na¨ıve Bayes (NB), decision tree (DT), and k-nearest neighbors (KNN)) are used. From the experimental results and analysis, it’s noteworthy to accept that the ReliefF-SO-SA-SVM performs relatively better than its state-of-the-art counterparts. For cancer datasets, our model performs better in terms of accuracy with a maximum of 99.45%.
在本研究中，提出了一种混合包装模型来从基因表达数据中识别特征基因子集。为了平衡探索和开发之间的差距，采用了一种由流行的元启发式算法蜘蛛猴优化器(SMO)和模拟退火(SA)组成的混合模型。在该模型中，ReliefF作为过滤器，在将数据馈送到包装器SMO之前，通过去除噪声和异常值，从数据集中获得相关的基因子集。为了提高解决方案的质量，第二阶段将模拟退火作为SMO的局部搜索，这将指导最优特征子集的检测。为了评估所提出的模型的性能，支持向量机(SVM)作为适应度函数从癌症数据集以及加州大学欧文分校(UCI)数据集中识别出信息量最大的生物标志物基因。为了进一步评估模型，使用了4种不同的分类器(SVM， ıve贝叶斯(NB)，决策树(DT)和k近邻(KNN))。从实验结果和分析来看，值得注意的是，relief - so - sa - svm的性能相对较好。对于癌症数据集，我们的模型在准确率方面表现更好，最高可达99.45%。
{"title":"A hybrid wrapper spider monkey optimization-simulated annealing model for optimal feature selection","authors":"Bibhuprasad Sahu, Amrutanshu Panigrahi, Bibhu Dash, Pawan Kumar Sharma, Abhilash Pati","doi":"10.11591/ijres.v12.i3.pp360-375","DOIUrl":"https://doi.org/10.11591/ijres.v12.i3.pp360-375","url":null,"abstract":"In this research, a hybrid wrapper model is proposed to identify the featured gene subset from the gene expression data. To balance the gap between exploration and exploitation, a hybrid model with a popular meta-heuristic algorithm named spider monkey optimizer (SMO) and simulated annealing (SA) is applied. In the proposed model, ReliefF is used as a filter to obtain the relevant gene subset from dataset by removing the noise and outliers prior to feeding the data to the wrapper SMO. To enhance the quality of the solution, simulated annealing is deployed as local search with the SMO in the second phase, which will guide to the detection of the most optimal feature subset. To evaluate the performance of the proposed model, support vector machine (SVM) as a fitness function to recognize the most informative biomarker gene from the cancer datasets along with University of California, Irvine (UCI) datasets. To further evaluate the model, 4 different classifiers (SVM, na¨ıve Bayes (NB), decision tree (DT), and k-nearest neighbors (KNN)) are used. From the experimental results and analysis, it’s noteworthy to accept that the ReliefF-SO-SA-SVM performs relatively better than its state-of-the-art counterparts. For cancer datasets, our model performs better in terms of accuracy with a maximum of 99.45%.","PeriodicalId":158991,"journal":{"name":"International Journal of Reconfigurable and Embedded Systems (IJRES)","volume":"98 17","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133205518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：