Pub Date : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623159
A. A. AlQahtani, Zakaria El-Awadi, Manki Min
Today, digital information decisively permeates all aspects of modern society. In such a connected world, one of the critical factors in maintaining the security of transmitted data is user authentication, which establishes confidence in the user identities presented to an information system. Over time, the definition of user authentication has not changed; however, a simple password is no longer the only factor used for authenticating a user. Two-factor Authentication (2FA) and Multi-factor Authentication (MFA) were proposed to provide a high level of security by adding more than one layer of authentication. For the most part, these layers of Authentication are based on knowledge, ownership, biometrics, and/or users' behaviors. This paper presents and analyzes authentication factors that are utilized to authenticate a user and prove his/her identity to a resource.
{"title":"A Survey on User Authentication Factors","authors":"A. A. AlQahtani, Zakaria El-Awadi, Manki Min","doi":"10.1109/iemcon53756.2021.9623159","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623159","url":null,"abstract":"Today, digital information decisively permeates all aspects of modern society. In such a connected world, one of the critical factors in maintaining the security of transmitted data is user authentication, which establishes confidence in the user identities presented to an information system. Over time, the definition of user authentication has not changed; however, a simple password is no longer the only factor used for authenticating a user. Two-factor Authentication (2FA) and Multi-factor Authentication (MFA) were proposed to provide a high level of security by adding more than one layer of authentication. For the most part, these layers of Authentication are based on knowledge, ownership, biometrics, and/or users' behaviors. This paper presents and analyzes authentication factors that are utilized to authenticate a user and prove his/her identity to a resource.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131649388","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623234
Neha Batra, S. Lakra
In this era computers have become one of the most important parts of the day-to-day life of persons, be it for personal or for professional use. With the advancement in new technologies people have ignored the impact caused by these gadgets on the world around us. Green Computing is one of the solutions; it asks to adopt the method of Reuse, Renovate, Recycle and Reutilize. With the advancement of technologies not only landfills, greenhouse gases but digital signals are also increasing in a proportional manner. Digital devices today emanate all kinds of unnatural signals. Since these signals are not found in nature, they are the reason these signals are not assimilated normally into the earth, and consequently, these signals negatively affect the environment as well as living things. These signals also affect the Human Brain/Mind. To cure or to reduce the effect of these signals it is important to use natural signals like fractal Signals. Music has always been considered as a mode of relaxation and enjoyment. It has always been a part of nature, be it a bird's humming or the sound of a flowing river. Music gives peace to the brain/mind. But the increase in the digitisation of music has brought a reverse effect. So to reduce the impact of the digitized music the use of music originating naturally or Green Music must be increased.
{"title":"Impact of Fractal Musical Signals on the Human Brain: A Proposed EEG Study","authors":"Neha Batra, S. Lakra","doi":"10.1109/iemcon53756.2021.9623234","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623234","url":null,"abstract":"In this era computers have become one of the most important parts of the day-to-day life of persons, be it for personal or for professional use. With the advancement in new technologies people have ignored the impact caused by these gadgets on the world around us. Green Computing is one of the solutions; it asks to adopt the method of Reuse, Renovate, Recycle and Reutilize. With the advancement of technologies not only landfills, greenhouse gases but digital signals are also increasing in a proportional manner. Digital devices today emanate all kinds of unnatural signals. Since these signals are not found in nature, they are the reason these signals are not assimilated normally into the earth, and consequently, these signals negatively affect the environment as well as living things. These signals also affect the Human Brain/Mind. To cure or to reduce the effect of these signals it is important to use natural signals like fractal Signals. Music has always been considered as a mode of relaxation and enjoyment. It has always been a part of nature, be it a bird's humming or the sound of a flowing river. Music gives peace to the brain/mind. But the increase in the digitisation of music has brought a reverse effect. So to reduce the impact of the digitized music the use of music originating naturally or Green Music must be increased.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133784408","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623207
Sayeda Islam Nahid, Navid Anjum, N. Chowdhury, Laila Tamanna Anni, M. Mahmud, Mohammad Monirujjaman Khan, R. H. Ashique
In comparison to firewood and charcoal, LPG is widely used as a source of fuel, mainly in urban regions. Due to the extremely combustible nature of the gas, there is always the risk of gas leakage as a consequence of carelessness or failure of the regulating valve on the gas cylinder, which poses a significant risk. Gas-related fires are on the rise, which may be prevented by utilizing a gas leakage detection system, necessitating the creation of a microcontroller-based cooking gas detector. The use of a microcontroller allows for the creation of a highly precise and quick reaction time detecting system. The detector includes a MQ-6 LPG gas sensor, a PIC16F690 microcontroller, an LCD, a buzzer, and a number of LEDs to learn about the gas leak's condition. When a voltage signal is present from the MQ-6 sensor exceeds a specific threshold, the microcontroller detects the presence of a gas and sends an audiovisual alert. All peripherals are linked to the microcontroller through its pins, which are coded in the PIC assembly language. When the system was turned on, the microcontroller turned on a green LED to indicate that there was no gas leakage. A digital multimeter is used to monitor the sensor voltage signal when LPG gas is discharged. Whenever the voltage is less than 2.0V, the green light remains illuminated; when the voltage is more than 2.0V, the microcontroller blinks a red LED and sounds an alarm to indicate the presence of a gas. The alert can be recognized by pressing a button on the sensor. When the system was turned on, the microcontroller turned on a green LED to indicate that there was no gas leakage. A digital multimeter is used to monitor the sensor voltage signal when LPG gas is discharged. Whenever the voltage is less than 2.0V, the green light remains illuminated; when the voltage is more than 2.0V, the microcontroller blinks a red LED and sounds an alarm to indicate the presence of a gas. The alert can be recognized by pressing a button on the sensor.
{"title":"Development of a Smart Automatic Gas Leakage Detector and Alarming System","authors":"Sayeda Islam Nahid, Navid Anjum, N. Chowdhury, Laila Tamanna Anni, M. Mahmud, Mohammad Monirujjaman Khan, R. H. Ashique","doi":"10.1109/iemcon53756.2021.9623207","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623207","url":null,"abstract":"In comparison to firewood and charcoal, LPG is widely used as a source of fuel, mainly in urban regions. Due to the extremely combustible nature of the gas, there is always the risk of gas leakage as a consequence of carelessness or failure of the regulating valve on the gas cylinder, which poses a significant risk. Gas-related fires are on the rise, which may be prevented by utilizing a gas leakage detection system, necessitating the creation of a microcontroller-based cooking gas detector. The use of a microcontroller allows for the creation of a highly precise and quick reaction time detecting system. The detector includes a MQ-6 LPG gas sensor, a PIC16F690 microcontroller, an LCD, a buzzer, and a number of LEDs to learn about the gas leak's condition. When a voltage signal is present from the MQ-6 sensor exceeds a specific threshold, the microcontroller detects the presence of a gas and sends an audiovisual alert. All peripherals are linked to the microcontroller through its pins, which are coded in the PIC assembly language. When the system was turned on, the microcontroller turned on a green LED to indicate that there was no gas leakage. A digital multimeter is used to monitor the sensor voltage signal when LPG gas is discharged. Whenever the voltage is less than 2.0V, the green light remains illuminated; when the voltage is more than 2.0V, the microcontroller blinks a red LED and sounds an alarm to indicate the presence of a gas. The alert can be recognized by pressing a button on the sensor. When the system was turned on, the microcontroller turned on a green LED to indicate that there was no gas leakage. A digital multimeter is used to monitor the sensor voltage signal when LPG gas is discharged. Whenever the voltage is less than 2.0V, the green light remains illuminated; when the voltage is more than 2.0V, the microcontroller blinks a red LED and sounds an alarm to indicate the presence of a gas. The alert can be recognized by pressing a button on the sensor.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132643645","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623221
Robert Morris, Shahnam Mirzaei
This paper presents an efficient color based tracking method applied on a sequence of live video frames for use in real time applications such as surveillance, video conferencing, and robot navigation. The proposed integrated system architecture consists of an attached camera that communicates with the FPGA through HDMI interface. The deployed computer vision algorithm in the FPGA can capture video frames at the rate of 60 fps with the large image sizes of up to 1280×1024 pixels. It then identifies the object based on the specified color, removes noise via spatial filtering and calculates the centroid allowing the object to be tracked during motion. The proposed algorithm leverages a reduction method to minimize the FPGA area as well as power consumption by averaging values over a range of several pixels; thus logarithmically reduces the design size. Our implementation is parameterized to be made as accurate or small as an application requires, with minimal error. The proposed tracking system is implemented on a Xilinx ZYNQ-7000 series XC7Z010 FPGA housed on Xilinx Zybo development board. The utilization reports show for a selected reduction rate of 16, 86.5% reduction in Slice LUTs and 81.3% in Slice registers with the maximum error of 1.5% in centroid calculation.
{"title":"Efficient FPGA Implementation of Parameterized Real Time Color Based Object Tracking","authors":"Robert Morris, Shahnam Mirzaei","doi":"10.1109/iemcon53756.2021.9623221","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623221","url":null,"abstract":"This paper presents an efficient color based tracking method applied on a sequence of live video frames for use in real time applications such as surveillance, video conferencing, and robot navigation. The proposed integrated system architecture consists of an attached camera that communicates with the FPGA through HDMI interface. The deployed computer vision algorithm in the FPGA can capture video frames at the rate of 60 fps with the large image sizes of up to 1280×1024 pixels. It then identifies the object based on the specified color, removes noise via spatial filtering and calculates the centroid allowing the object to be tracked during motion. The proposed algorithm leverages a reduction method to minimize the FPGA area as well as power consumption by averaging values over a range of several pixels; thus logarithmically reduces the design size. Our implementation is parameterized to be made as accurate or small as an application requires, with minimal error. The proposed tracking system is implemented on a Xilinx ZYNQ-7000 series XC7Z010 FPGA housed on Xilinx Zybo development board. The utilization reports show for a selected reduction rate of 16, 86.5% reduction in Slice LUTs and 81.3% in Slice registers with the maximum error of 1.5% in centroid calculation.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133497640","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623248
Vijay Sirohi, J. Kumar, Tejinder Singh Saggu, Bob Gill
Boosting capability is considered to be a very impressive feature of a converter circuit as these converter circuits are suitable for electric vehicles, HVAC, distributed power generation as well as photovoltaic applications. This article presents an improved switched capacitor multilevel inverter (SC-MLI) topology. The proposed topology not only attains boosting feature but also has a higher number of output levels (11-Level). The SC-MLI employs only two input source, ten power electronic switches, one capacitor and one diode in its configuration. The circuit configuration, operating modes, Total harmonic distortion and modulation technique are presented in the article. The presented MLI is simulated in the MATLAB/Simulink. A comparison is also made with the recently developed configurations of MLIs on the basis of different parameters like number of switch requirement, DC sources and capacitors.
{"title":"An improved switched capacitor multi-level inverter topology with boosting capability and reduced component count","authors":"Vijay Sirohi, J. Kumar, Tejinder Singh Saggu, Bob Gill","doi":"10.1109/iemcon53756.2021.9623248","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623248","url":null,"abstract":"Boosting capability is considered to be a very impressive feature of a converter circuit as these converter circuits are suitable for electric vehicles, HVAC, distributed power generation as well as photovoltaic applications. This article presents an improved switched capacitor multilevel inverter (SC-MLI) topology. The proposed topology not only attains boosting feature but also has a higher number of output levels (11-Level). The SC-MLI employs only two input source, ten power electronic switches, one capacitor and one diode in its configuration. The circuit configuration, operating modes, Total harmonic distortion and modulation technique are presented in the article. The presented MLI is simulated in the MATLAB/Simulink. A comparison is also made with the recently developed configurations of MLIs on the basis of different parameters like number of switch requirement, DC sources and capacitors.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114657133","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623125
F. Zungor, M. F. Bilicioglu, E. Kavak, Ibrahim Eski, Metin Ozturk, H. Bodur
Among the converters used in welding machines, two-switch forward converter has an important place in low and medium power applications for cost priority applications. However, one of the most important disadvantage of this converter is limited duty cycle, which is less than 50%. Therefore, the capacitors used for shaping the main line voltage occupy an important place on the circuit. Another disadvantage of the converter is that the transformer uses the B-H curve unidirectional way. This causes the transformer to be selected larger when compared to other converters for the same power value. In this study, it has been suggested use forward converter with active clamp to which provides using the B-H curve bidirectional way with clamp capacitor, extending duty cycle more than %50 and increasing power density solve these disadvantages of two switch forward converter for welding machines. For this purpose, a converter with 230V input; 25V/150A and 3750W output will be designed and simulated to show that the converter solves the mentioned disadvantages.
{"title":"Implementation of Forward Converter with Active Clamp for Welding Machines","authors":"F. Zungor, M. F. Bilicioglu, E. Kavak, Ibrahim Eski, Metin Ozturk, H. Bodur","doi":"10.1109/iemcon53756.2021.9623125","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623125","url":null,"abstract":"Among the converters used in welding machines, two-switch forward converter has an important place in low and medium power applications for cost priority applications. However, one of the most important disadvantage of this converter is limited duty cycle, which is less than 50%. Therefore, the capacitors used for shaping the main line voltage occupy an important place on the circuit. Another disadvantage of the converter is that the transformer uses the B-H curve unidirectional way. This causes the transformer to be selected larger when compared to other converters for the same power value. In this study, it has been suggested use forward converter with active clamp to which provides using the B-H curve bidirectional way with clamp capacitor, extending duty cycle more than %50 and increasing power density solve these disadvantages of two switch forward converter for welding machines. For this purpose, a converter with 230V input; 25V/150A and 3750W output will be designed and simulated to show that the converter solves the mentioned disadvantages.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"13 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116775027","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623154
Alkiviadis Kyrtsoglou, Dimara Asimina, Dimitrios Triantafyllidis, S. Krinidis, Konstantinos Kitsikoudis, D. Ioannidis, Stavros Antypas, Georgios Tsoukos, D. Tzovaras
Even though weather time series are easy to be found, complete and large data sets are almost impossible to be retrieved. In this paper, an assessment of missing weather data in small data sets is introduced utilizing correlation and meta-analysis of different weather parameters like temperature, humidity and wind speed. Auto regressive integrated moving average (ARIMA), a well-known artificial model and widely used for weather prediction, is evaluated on various sets with missing data. The results of an univariate and multivariate ARIMA model are presented to come up to the best model for each feature and parameter. Finally, the most accurate model is tested against real life data, revealing that imputation of missing data increases prediction accuracy for almost 50%.
{"title":"Missing Data Imputation and Meta-analysis on Correlation of Spatio-Temporal Weather Series Data","authors":"Alkiviadis Kyrtsoglou, Dimara Asimina, Dimitrios Triantafyllidis, S. Krinidis, Konstantinos Kitsikoudis, D. Ioannidis, Stavros Antypas, Georgios Tsoukos, D. Tzovaras","doi":"10.1109/iemcon53756.2021.9623154","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623154","url":null,"abstract":"Even though weather time series are easy to be found, complete and large data sets are almost impossible to be retrieved. In this paper, an assessment of missing weather data in small data sets is introduced utilizing correlation and meta-analysis of different weather parameters like temperature, humidity and wind speed. Auto regressive integrated moving average (ARIMA), a well-known artificial model and widely used for weather prediction, is evaluated on various sets with missing data. The results of an univariate and multivariate ARIMA model are presented to come up to the best model for each feature and parameter. Finally, the most accurate model is tested against real life data, revealing that imputation of missing data increases prediction accuracy for almost 50%.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123977336","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623118
Roshan E., Nishanth VG., M. N.
The majority of processors and ICs on the market today are susceptible to intellectual property theft and hardware trojan insertion. This is a significant security risk for both the manufacturer and the end user. Logic Locking is a prevalent method for tackling such problems. In Logic locking, the designer performs minor architectural modifications in the design to conceal the functionality from any malicious parties. In this paper, we have analyzed logic locking schemes like Encrypt Flip-Flop and D-MUX. These schemes have been used to encrypt a Y86-64 processor and the encrypted design was synthesized to obtain a locked netlist. To further enhance the security, a key generation module was added to the design. The key parameters such as resource utilization and hamming distance were compared for all the cases. ML-based logic locking attacks are emerging techniques for efficient key retrieval. Some of the ML-based attacks from both oracle-less and oracle-guided classes were analyzed in this study. One of the attacks which was discussed called SWEEP was implemented and tested on all the implemented encrypted designs.
{"title":"Developing Attack Resilience in Y86 Processor using Logic Locking","authors":"Roshan E., Nishanth VG., M. N.","doi":"10.1109/iemcon53756.2021.9623118","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623118","url":null,"abstract":"The majority of processors and ICs on the market today are susceptible to intellectual property theft and hardware trojan insertion. This is a significant security risk for both the manufacturer and the end user. Logic Locking is a prevalent method for tackling such problems. In Logic locking, the designer performs minor architectural modifications in the design to conceal the functionality from any malicious parties. In this paper, we have analyzed logic locking schemes like Encrypt Flip-Flop and D-MUX. These schemes have been used to encrypt a Y86-64 processor and the encrypted design was synthesized to obtain a locked netlist. To further enhance the security, a key generation module was added to the design. The key parameters such as resource utilization and hamming distance were compared for all the cases. ML-based logic locking attacks are emerging techniques for efficient key retrieval. Some of the ML-based attacks from both oracle-less and oracle-guided classes were analyzed in this study. One of the attacks which was discussed called SWEEP was implemented and tested on all the implemented encrypted designs.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121288149","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623092
Shima Kaheh, Maria Ramirez, K. George
Neuromarketing research has emerged as an innovative method of collecting accurate consumer data for understanding consumer decisions and improving marketing efforts. Using neurophysiological measures with devices such as eye trackers, functional magnetic resonance imaging (fMRI), Electroencephalogram (EEG), heart rate variability (HRV), and galvanic skin response (GSR), researchers can collect sensitive measures of consumers' reactions to different stimuli and reveal hidden information about the consumer experience without having to ask the consumer directly. This information may be used by marketers to influence purchasing behavior and increase sales. In this paper, we use simultaneous measurements of EEG and functional near-infrared spectroscopy (fNIRS), combined with galvanic skin response (GSR) and heart rate variability (HRV) measurements, to investigate the effect of pricing on subjects' product preference.
{"title":"Using Concurrent fNIRS and EEG Measurements to Study Consumer's Preference","authors":"Shima Kaheh, Maria Ramirez, K. George","doi":"10.1109/iemcon53756.2021.9623092","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623092","url":null,"abstract":"Neuromarketing research has emerged as an innovative method of collecting accurate consumer data for understanding consumer decisions and improving marketing efforts. Using neurophysiological measures with devices such as eye trackers, functional magnetic resonance imaging (fMRI), Electroencephalogram (EEG), heart rate variability (HRV), and galvanic skin response (GSR), researchers can collect sensitive measures of consumers' reactions to different stimuli and reveal hidden information about the consumer experience without having to ask the consumer directly. This information may be used by marketers to influence purchasing behavior and increase sales. In this paper, we use simultaneous measurements of EEG and functional near-infrared spectroscopy (fNIRS), combined with galvanic skin response (GSR) and heart rate variability (HRV) measurements, to investigate the effect of pricing on subjects' product preference.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130617875","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623257
Amirhossein Jahanfar, M. Iqbal
These days, electric vehicles (EVs) are becoming more and more popular, so there is a need to increase the number of charging stations for EVs all over Newfoundland. St. John's has considerable potential for wind energy conversion systems; that's why it is pretty logical to aim to design a charging station for this city and other places in Newfoundland. The steps of developing such system and its scheme are described, and simulation results are provided in this paper. The designed system consists of a 10kW wind turbine, a hybrid inverter, and battery storage are used to charge a Kia e-Soul.
{"title":"Design and Simulation of a Wind Turbine Powered Electric Car Charging System for St. John's, NL","authors":"Amirhossein Jahanfar, M. Iqbal","doi":"10.1109/iemcon53756.2021.9623257","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623257","url":null,"abstract":"These days, electric vehicles (EVs) are becoming more and more popular, so there is a need to increase the number of charging stations for EVs all over Newfoundland. St. John's has considerable potential for wind energy conversion systems; that's why it is pretty logical to aim to design a charging station for this city and other places in Newfoundland. The steps of developing such system and its scheme are described, and simulation results are provided in this paper. The designed system consists of a 10kW wind turbine, a hybrid inverter, and battery storage are used to charge a Kia e-Soul.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127663682","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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