Pub Date : 2021-10-13DOI: 10.1109/QIR54354.2021.9716183
J. Kondoh, Naoki Maekawa, Takaki Aoyama
A liquid-phase sensor is realized using shear horizontal surface acoustic wave (SH-SAW) sensor devices. One feature of the SH-SAW sensor is to realize a wireless and passive measurement system. In this paper, first, a new measurement system is proposed. Its validity was confirmed by comparing it with a numerical solution. Secondly, online software was used to calculate phase and amplitude from the SH-SAW sensor responses. The results indicate that the online software is suitable to evaluate the sensor responses.
{"title":"Shear horizontal surface acoustic wave sensor measurement system for liquid toward wireless and passive applications","authors":"J. Kondoh, Naoki Maekawa, Takaki Aoyama","doi":"10.1109/QIR54354.2021.9716183","DOIUrl":"https://doi.org/10.1109/QIR54354.2021.9716183","url":null,"abstract":"A liquid-phase sensor is realized using shear horizontal surface acoustic wave (SH-SAW) sensor devices. One feature of the SH-SAW sensor is to realize a wireless and passive measurement system. In this paper, first, a new measurement system is proposed. Its validity was confirmed by comparing it with a numerical solution. Secondly, online software was used to calculate phase and amplitude from the SH-SAW sensor responses. The results indicate that the online software is suitable to evaluate the sensor responses.","PeriodicalId":446396,"journal":{"name":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","volume":"55 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131790582","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 : 2021-10-13DOI: 10.1109/qir54354.2021.9716166
{"title":"Paralel Session Schedule","authors":"","doi":"10.1109/qir54354.2021.9716166","DOIUrl":"https://doi.org/10.1109/qir54354.2021.9716166","url":null,"abstract":"","PeriodicalId":446396,"journal":{"name":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131890143","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 : 2021-10-13DOI: 10.1109/QIR54354.2021.9716190
Halim Md Abdul, I. Ibrahim., Naoki Fukuta
Health management is one of the essential tasks in human life since our daily activities depend on our health. Also, depending on our health, our bodies’ actions and reactions are changed. If we are healthy, we are pleased to work. Since healthy life is essential in human life, maintaining a healthy life and for that purpose doing the right health management is necessary. Since we already have the widespread use of smartphone devices, using a smartphone-based health management applications can help people maintain their health by recommending food, nutrition, exercise, entertainment, etc. In this paper, we present our design and possible implementations of a recommender system-based approach for health management. Here we should also consider that, some people have certain health conditions that limit their food choices. The presented approach classified users based on their profile then applied a recommendation algorithm to recommend food, nutrition, and exercise. Our application automatically ignores food and exercises based on users’ risk of diseases. By using this application, users can easily maintain their health.
{"title":"Implementing Recommender System-based Approach for Health Management Mobile Application","authors":"Halim Md Abdul, I. Ibrahim., Naoki Fukuta","doi":"10.1109/QIR54354.2021.9716190","DOIUrl":"https://doi.org/10.1109/QIR54354.2021.9716190","url":null,"abstract":"Health management is one of the essential tasks in human life since our daily activities depend on our health. Also, depending on our health, our bodies’ actions and reactions are changed. If we are healthy, we are pleased to work. Since healthy life is essential in human life, maintaining a healthy life and for that purpose doing the right health management is necessary. Since we already have the widespread use of smartphone devices, using a smartphone-based health management applications can help people maintain their health by recommending food, nutrition, exercise, entertainment, etc. In this paper, we present our design and possible implementations of a recommender system-based approach for health management. Here we should also consider that, some people have certain health conditions that limit their food choices. The presented approach classified users based on their profile then applied a recommendation algorithm to recommend food, nutrition, and exercise. Our application automatically ignores food and exercises based on users’ risk of diseases. By using this application, users can easily maintain their health.","PeriodicalId":446396,"journal":{"name":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134502825","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 : 2021-10-13DOI: 10.1109/QIR54354.2021.9716195
Suryadi, A. Halim
Mathematical models used to represent physical processes are generally large and complex. Large models are difficult to implement in industry, so model simplification methods are needed. Model simplification is a process of reducing high system order to low system order. Complex models such as fraction-order transfer functions are very difficult to apply in industry. The simplification of the fraction-order transfer function can be approximated by filtering to an integer-order transfer function. This study discusses the method of simplifying the fraction-order transfer function to an integer-order transfer function using an refined oustaloop filter. Improved approximation of the oustaloop filter and the oustaloop filter resulted in a high-order transfer function that could not be implemented. The high-order transfer function is then reduced by the H2 norm method to obtain a simple and easy-to-design model system such as FOPDT and SOPDT. The evaluation of the reduced model can be seen by comparing the time characteristics (response step) and frequency response (bode plot) of the real system with the reduced system model. The data simulation results show increasing 10% - 15% gain margin error in the refined oustaloop filter and oustaloop filter with the addition of zero to the transfer function of the real system. Refine oustaloop filters give better approximation results than oustaloop filters. The oustaloop filter method, refine oustaloop filter, and H2 norm reduction did not change the stability of the system in a stable system.
{"title":"Evaluation of Approximation And Reduction Method for Fractional Order Transfer Function","authors":"Suryadi, A. Halim","doi":"10.1109/QIR54354.2021.9716195","DOIUrl":"https://doi.org/10.1109/QIR54354.2021.9716195","url":null,"abstract":"Mathematical models used to represent physical processes are generally large and complex. Large models are difficult to implement in industry, so model simplification methods are needed. Model simplification is a process of reducing high system order to low system order. Complex models such as fraction-order transfer functions are very difficult to apply in industry. The simplification of the fraction-order transfer function can be approximated by filtering to an integer-order transfer function. This study discusses the method of simplifying the fraction-order transfer function to an integer-order transfer function using an refined oustaloop filter. Improved approximation of the oustaloop filter and the oustaloop filter resulted in a high-order transfer function that could not be implemented. The high-order transfer function is then reduced by the H2 norm method to obtain a simple and easy-to-design model system such as FOPDT and SOPDT. The evaluation of the reduced model can be seen by comparing the time characteristics (response step) and frequency response (bode plot) of the real system with the reduced system model. The data simulation results show increasing 10% - 15% gain margin error in the refined oustaloop filter and oustaloop filter with the addition of zero to the transfer function of the real system. Refine oustaloop filters give better approximation results than oustaloop filters. The oustaloop filter method, refine oustaloop filter, and H2 norm reduction did not change the stability of the system in a stable system.","PeriodicalId":446396,"journal":{"name":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134050192","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 : 2021-10-13DOI: 10.1109/QIR54354.2021.9716191
Joko Tri Atmojo, E. Rahardjo
A proper size antenna dimension is needed to integrate a microstrip antenna with a beamforming network. In this case, the dimensions of the microstrip antenna are adjusted to the output port of the adjacent beamforming network so that a compact size antenna is needed. In this paper, antenna size reduction has been carried out using CSRR and DGS techniques to meet these requirements. A CSRR element has printed on the patch plane, while the DGS has printed on the ground plane. The antenna is designed to operate at an operating frequency of 2.400 – 2.483 GHz, using the FR-4 material. The simulation results show that antenna size has been reduced by 31.14% with frequency 2.41 – 2.48 GHz and a gain of 6.402 dBi. While the measurement results of the antenna fabricated show an operating frequency at 2.43 - 2.57 GHz. Therefore, the proposed antenna is suitable to be used as specified.
{"title":"Microstrip Antenna Size Reduction using CSRR and DGS for ISM band","authors":"Joko Tri Atmojo, E. Rahardjo","doi":"10.1109/QIR54354.2021.9716191","DOIUrl":"https://doi.org/10.1109/QIR54354.2021.9716191","url":null,"abstract":"A proper size antenna dimension is needed to integrate a microstrip antenna with a beamforming network. In this case, the dimensions of the microstrip antenna are adjusted to the output port of the adjacent beamforming network so that a compact size antenna is needed. In this paper, antenna size reduction has been carried out using CSRR and DGS techniques to meet these requirements. A CSRR element has printed on the patch plane, while the DGS has printed on the ground plane. The antenna is designed to operate at an operating frequency of 2.400 – 2.483 GHz, using the FR-4 material. The simulation results show that antenna size has been reduced by 31.14% with frequency 2.41 – 2.48 GHz and a gain of 6.402 dBi. While the measurement results of the antenna fabricated show an operating frequency at 2.43 - 2.57 GHz. Therefore, the proposed antenna is suitable to be used as specified.","PeriodicalId":446396,"journal":{"name":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116297631","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}
Increased crime and cyber-attacks make network security an essential prerequisite for organizations. However, organizations cannot guarantee this because the COVID-19 pandemic has forced organizations to suspend activities in the office and give employees the option to work from home. As a result, employees must always be connected to the home network to work. It can attract hackers to take advantage of the situation by launching various attacks. Therefore home network security must be updated, minimize vulnerabilities, and apply additional security. The number of IoT devices that can connect to the home network is also considered to increase security because the main entry point for hacking IoT is through the network. Raspberry Pi 4 can be used as a low-cost, power-efficient, and practical solution for home network security, including IDS Suricata, multiple honeypots (Cowrie & Dionaea), and Tshark packet analyzer. There are six types of attack simulations: port scanning, brute force, TCP flood attacks, smurf attacks, UDP flood attacks, and exploits on services/ports. Measurement of device performance is also carried out when running the system. Log data from the four sensors will be visualized with the ELK stack, making it easier to analyze attacks.
{"title":"Design an Intrusion Detection System, Multiple Honeypot and Packet Analyzer Using Raspberry Pi 4 for Home Network","authors":"Febrian Rachmad Hariawan, Septia Ulfa Sunaringtyas","doi":"10.1109/QIR54354.2021.9716189","DOIUrl":"https://doi.org/10.1109/QIR54354.2021.9716189","url":null,"abstract":"Increased crime and cyber-attacks make network security an essential prerequisite for organizations. However, organizations cannot guarantee this because the COVID-19 pandemic has forced organizations to suspend activities in the office and give employees the option to work from home. As a result, employees must always be connected to the home network to work. It can attract hackers to take advantage of the situation by launching various attacks. Therefore home network security must be updated, minimize vulnerabilities, and apply additional security. The number of IoT devices that can connect to the home network is also considered to increase security because the main entry point for hacking IoT is through the network. Raspberry Pi 4 can be used as a low-cost, power-efficient, and practical solution for home network security, including IDS Suricata, multiple honeypots (Cowrie & Dionaea), and Tshark packet analyzer. There are six types of attack simulations: port scanning, brute force, TCP flood attacks, smurf attacks, UDP flood attacks, and exploits on services/ports. Measurement of device performance is also carried out when running the system. Log data from the four sensors will be visualized with the ELK stack, making it easier to analyze attacks.","PeriodicalId":446396,"journal":{"name":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128655209","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 : 2021-10-13DOI: 10.1109/QIR54354.2021.9716173
Mutiara Nurul Sakinah, A. H. Saputro
Urinalysis is a method that uses urine test strips containing indicators in the form of reagents that will change color when reacting with certain substances in urine that have been determined. Many researchers have developed readings of color change test strips using smartphones due to being portable and easier to use. However, the color information of the obtained image is unstable due to several factors, such as environment light, sensor characteristics, and other stability factors. Color correction was performed to consistently produce color information using the Root-polynomial color correction (RPCC) algorithm based on the color reference standard in Artificial Color Board. The color correction technique was evaluated using images taken with a color temperature variation of 2500°K – 8500 °K that were recorded using Huawei Nova 5T and Samsung Galaxy A51. The results show that the RPCC method has a good and stable performance on every cellphone used with a color correction evaluation value ($Delta$E) of 1.8 – 2.6. The results show that the artificial color board and RPCC method can also minimize color temperature so that the color measurement results remain accurate.
{"title":"Color Correction Technique using an Artificial Color Board and Root-polynomial Color Correction for Smartphone-Based Urinalysis","authors":"Mutiara Nurul Sakinah, A. H. Saputro","doi":"10.1109/QIR54354.2021.9716173","DOIUrl":"https://doi.org/10.1109/QIR54354.2021.9716173","url":null,"abstract":"Urinalysis is a method that uses urine test strips containing indicators in the form of reagents that will change color when reacting with certain substances in urine that have been determined. Many researchers have developed readings of color change test strips using smartphones due to being portable and easier to use. However, the color information of the obtained image is unstable due to several factors, such as environment light, sensor characteristics, and other stability factors. Color correction was performed to consistently produce color information using the Root-polynomial color correction (RPCC) algorithm based on the color reference standard in Artificial Color Board. The color correction technique was evaluated using images taken with a color temperature variation of 2500°K – 8500 °K that were recorded using Huawei Nova 5T and Samsung Galaxy A51. The results show that the RPCC method has a good and stable performance on every cellphone used with a color correction evaluation value ($Delta$E) of 1.8 – 2.6. The results show that the artificial color board and RPCC method can also minimize color temperature so that the color measurement results remain accurate.","PeriodicalId":446396,"journal":{"name":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132823387","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 : 2021-10-13DOI: 10.1109/QIR54354.2021.9716198
H. A. Nugroho, Rizki Nurfauzi
Malaria is caused by a bite of female anopheles mosquitos transmitting the parasite Plasmodium into human bodies. Malaria is a common disease in tropical and subtropical regions and is also a severe public health problem due to its risk. Early diagnosis is required to avoid the hazard of death from malaria. Microscopic analysis of blood smears remains a standard method for malaria analysis. However, manual microscopic observation is laborious, and the results have a heavy dependence on the examiner’s skill. To alleviate this problem, this study proposed a deep learning method for detecting malaria automatically malaria parasite on thick blood smear microscopic images. The proposed approach achieved the fastest examination at 0.25 sec/image or more than 20 times faster compared to that of previous with mAP, sensitivity, and a precision score of 72, 78.4, and 83.2 %, respectively. These performances indicated that the proposed approach can be a promising alternative to CAD systems for fast parasite detection.
{"title":"Deep Learning Approach for Malaria Parasite Detection in Thick Blood Smear Images","authors":"H. A. Nugroho, Rizki Nurfauzi","doi":"10.1109/QIR54354.2021.9716198","DOIUrl":"https://doi.org/10.1109/QIR54354.2021.9716198","url":null,"abstract":"Malaria is caused by a bite of female anopheles mosquitos transmitting the parasite Plasmodium into human bodies. Malaria is a common disease in tropical and subtropical regions and is also a severe public health problem due to its risk. Early diagnosis is required to avoid the hazard of death from malaria. Microscopic analysis of blood smears remains a standard method for malaria analysis. However, manual microscopic observation is laborious, and the results have a heavy dependence on the examiner’s skill. To alleviate this problem, this study proposed a deep learning method for detecting malaria automatically malaria parasite on thick blood smear microscopic images. The proposed approach achieved the fastest examination at 0.25 sec/image or more than 20 times faster compared to that of previous with mAP, sensitivity, and a precision score of 72, 78.4, and 83.2 %, respectively. These performances indicated that the proposed approach can be a promising alternative to CAD systems for fast parasite detection.","PeriodicalId":446396,"journal":{"name":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126047532","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 : 2021-10-13DOI: 10.1109/QIR54354.2021.9716170
Tiara De Arifani, A. H. Saputro, B. Kiswanjaya
Smoker’s melanosis (SM) is a way to determine if someone is a smoker or not from the tongue area. Smoker’s melanosis changes the color of melanin pigmentation on the oral mucosa into brown or black. The method is usually performed by TCM experts or doctors with TCM methods. However, its detection is noninvasive and takes much time due to the long procedure. This research aims to make Smoker’s tongue detection systems using noninvasive and nondestructive methods by implementing Deep Learning algorithms. The study used a hyperspectral camera with a VNIR wavelength to record a person’s tongue image and process it into information used for this system. The algorithm implementation was performed on five different datasets based on the ROI retrieval area on the tongue of smokers and nonsmokers. This research focuses on Deep Learning algorithms implementation. Convolutional Neural Network (CNN) algorithm used has two types of architecture Autoencoder and Proposed Architecture. Both architectures are run by optimization algorithms such as SGDM, Adam, and RMSProp. In addition to comparing the two CNN architectures, the research examines the PCA-SVM to see the performance of Deep Learning and Machine Learning to be implemented in this research data. Proposed Architecture achieved an accuracy of 95% in SGDM and PCA-SVM optimization algorithms used to make the accuracy of 81%. These results suggest that smoking tongue detection systems can work better with Deep Learning scanning.
{"title":"Implementation of Deep Learning on Smoker’s Tongue Detection System using Visible-Near Infrared Imaging","authors":"Tiara De Arifani, A. H. Saputro, B. Kiswanjaya","doi":"10.1109/QIR54354.2021.9716170","DOIUrl":"https://doi.org/10.1109/QIR54354.2021.9716170","url":null,"abstract":"Smoker’s melanosis (SM) is a way to determine if someone is a smoker or not from the tongue area. Smoker’s melanosis changes the color of melanin pigmentation on the oral mucosa into brown or black. The method is usually performed by TCM experts or doctors with TCM methods. However, its detection is noninvasive and takes much time due to the long procedure. This research aims to make Smoker’s tongue detection systems using noninvasive and nondestructive methods by implementing Deep Learning algorithms. The study used a hyperspectral camera with a VNIR wavelength to record a person’s tongue image and process it into information used for this system. The algorithm implementation was performed on five different datasets based on the ROI retrieval area on the tongue of smokers and nonsmokers. This research focuses on Deep Learning algorithms implementation. Convolutional Neural Network (CNN) algorithm used has two types of architecture Autoencoder and Proposed Architecture. Both architectures are run by optimization algorithms such as SGDM, Adam, and RMSProp. In addition to comparing the two CNN architectures, the research examines the PCA-SVM to see the performance of Deep Learning and Machine Learning to be implemented in this research data. Proposed Architecture achieved an accuracy of 95% in SGDM and PCA-SVM optimization algorithms used to make the accuracy of 81%. These results suggest that smoking tongue detection systems can work better with Deep Learning scanning.","PeriodicalId":446396,"journal":{"name":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121586944","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 : 2021-10-13DOI: 10.1109/QIR54354.2021.9716193
Teguh Firmasnyah, G. Wibisono, E. Rahardjo, J. Kondoh
Localized surface plasmon resonance is the effect when metallic nanoparticles (MeNPs) have highly interacted with incident light at a specific wavelength. Studies have focused on modifying the size, structure, and shape of MeNPs to the LSPR spectrum effect. Then, the dual-peak/dual-band LSPR spectrum was usually obtained using modify the configuration of MeNPs. However, the influences of the anisotropic crystalline substrate on the LSPR spectrum remain poorly explored. As a novelty, a dual-band LSPR using gold nanoparticles (AuNPs) was fabricated on the anisotropic crystalline 36XY-LiTaO3 substrate is proposed. Comprehensive evaluations were performed with finite-difference time-domain method (FDTD) simulation for plasmonic E-field simulation, atomic force microscopy imaging, and measurement of LSPR spectrum. As a result, the dual-band LSPR has obtained at a wavelength of 500 nm and 700 nm for the lower-band and upper band, respectively. A good agreement between simulation and measurement has validated the proposed method.
{"title":"Dual-band localized surface plasmon resonance spectrum using gold nanoparticles fabricated on anisotropic crystalline 36XY-LiTaO3 substrate","authors":"Teguh Firmasnyah, G. Wibisono, E. Rahardjo, J. Kondoh","doi":"10.1109/QIR54354.2021.9716193","DOIUrl":"https://doi.org/10.1109/QIR54354.2021.9716193","url":null,"abstract":"Localized surface plasmon resonance is the effect when metallic nanoparticles (MeNPs) have highly interacted with incident light at a specific wavelength. Studies have focused on modifying the size, structure, and shape of MeNPs to the LSPR spectrum effect. Then, the dual-peak/dual-band LSPR spectrum was usually obtained using modify the configuration of MeNPs. However, the influences of the anisotropic crystalline substrate on the LSPR spectrum remain poorly explored. As a novelty, a dual-band LSPR using gold nanoparticles (AuNPs) was fabricated on the anisotropic crystalline 36XY-LiTaO3 substrate is proposed. Comprehensive evaluations were performed with finite-difference time-domain method (FDTD) simulation for plasmonic E-field simulation, atomic force microscopy imaging, and measurement of LSPR spectrum. As a result, the dual-band LSPR has obtained at a wavelength of 500 nm and 700 nm for the lower-band and upper band, respectively. A good agreement between simulation and measurement has validated the proposed method.","PeriodicalId":446396,"journal":{"name":"2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116773557","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}
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