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/iemcon53756.2021.9623146
T. Pham
This paper presents a novel concept of artificial bias to incorporate partial automation to dynamically assist pilots to avoid incoming heat seeking missiles while maneuvering their jet fighters in a mission. In this endeavor, the pilot will have complete control of the aircraft, and the evasive maneuvering procedure will push the aircraft away from the current path of the aircraft only when there is imminent collision. The artificial bias algorithm is presented, and computer simulations for missile avoidance are presented in various situations. The theoretical limitation of this algorithm is also presented in terms of the maneuverability of the aircraft vs that of a missile, and the number of missiles an aircraft is facing.
{"title":"Using Artificial Bias to Assist Evasive Maneuvering of Fighter Aircrafts in Combat Situations","authors":"T. Pham","doi":"10.1109/iemcon53756.2021.9623146","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623146","url":null,"abstract":"This paper presents a novel concept of artificial bias to incorporate partial automation to dynamically assist pilots to avoid incoming heat seeking missiles while maneuvering their jet fighters in a mission. In this endeavor, the pilot will have complete control of the aircraft, and the evasive maneuvering procedure will push the aircraft away from the current path of the aircraft only when there is imminent collision. The artificial bias algorithm is presented, and computer simulations for missile avoidance are presented in various situations. The theoretical limitation of this algorithm is also presented in terms of the maneuverability of the aircraft vs that of a missile, and the number of missiles an aircraft is facing.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"75 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":"127283748","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}
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/iemcon53756.2021.9623069
M. Cherrington, David Airehrour, Samaneh Madanian, Joan Lu, Qiang Xu, Polina Artiushkina
Organisations that have survived Covid-19 jolts, uncertainties and lockdowns now require business intelligence and information system integration for decision support. Risks and market challenges have shifted as the pandemic progresses. Crisis management repositioning has left many firms cash-poor. Now, firms are facing labour shortages. Standard remuneration policies and practices need revision to keep core talent, stabilise teams from burn-out and to move forward strategically. This paper revises essential remuneration review considerations for crisis management in a new Covid-19 context. Current trends are discussed, as restrictions and pandemic uncertainties lift, allowing greater accuracy in risk scenario planning. Reliable data, fit for analytics and complex modelling, are making results more meaningful. The unique contribution of this research is the Covid-19 post-survival organisational perspective that can transform remuneration modelling. The scope extends beyond the governance level, and considers semantics and dynamic risk planning. Specific scenarios are updated from lessons learned from financial crisis management. Conclusions take a holistic view of how data can enhance remuneration practices to add value for organisations in the current Covid-19 climate. The paper advocates post crisis remuneration review that includes complex modelling with dynamic risk analysis for strategic planning in mid-term scenarios.
{"title":"Remuneration Review: Risk, Planning, and Modelling beyond the Covid Crisis","authors":"M. Cherrington, David Airehrour, Samaneh Madanian, Joan Lu, Qiang Xu, Polina Artiushkina","doi":"10.1109/iemcon53756.2021.9623069","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623069","url":null,"abstract":"Organisations that have survived Covid-19 jolts, uncertainties and lockdowns now require business intelligence and information system integration for decision support. Risks and market challenges have shifted as the pandemic progresses. Crisis management repositioning has left many firms cash-poor. Now, firms are facing labour shortages. Standard remuneration policies and practices need revision to keep core talent, stabilise teams from burn-out and to move forward strategically. This paper revises essential remuneration review considerations for crisis management in a new Covid-19 context. Current trends are discussed, as restrictions and pandemic uncertainties lift, allowing greater accuracy in risk scenario planning. Reliable data, fit for analytics and complex modelling, are making results more meaningful. The unique contribution of this research is the Covid-19 post-survival organisational perspective that can transform remuneration modelling. The scope extends beyond the governance level, and considers semantics and dynamic risk planning. Specific scenarios are updated from lessons learned from financial crisis management. Conclusions take a holistic view of how data can enhance remuneration practices to add value for organisations in the current Covid-19 climate. The paper advocates post crisis remuneration review that includes complex modelling with dynamic risk analysis for strategic planning in mid-term scenarios.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"46 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":"127030572","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/iemcon53756.2021.9623156
Naheem Olakunle Adesina, Md Azmot Ullah Khan, Jian Xu
In recent time, memristor is gaining widespread attention owing to its potential applications in analog and digital circuits, computer architectures, nano-dimension memories, logic, neuromorphic, and oscillator circuits. However, there is no single component or device available in the market that exhibit memristive behavior. Memristor emulator circuit is introduced to mimic the behavior of a real memristor and emulate its properties. In this work, we propose a transistor-based memristor emulator circuit, which is designed in TSMC 0.18 µm n-well CMOS process technology with a supply voltage of 1.8 V. The results show that the proposed emulator circuit can be switched with a low input voltage of 180 mV and its current-voltage characteristics produces pinched hysteresis loops in the range 15 MHz to 100 MHz, which makes the emulator suitable for high frequency applications. In addition, its layout occupies chip area of 54 µm X 51 µm.
{"title":"CMOS Transistor-Based Memristor Emulator Circuit Design for High Frequency Applications","authors":"Naheem Olakunle Adesina, Md Azmot Ullah Khan, Jian Xu","doi":"10.1109/iemcon53756.2021.9623156","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623156","url":null,"abstract":"In recent time, memristor is gaining widespread attention owing to its potential applications in analog and digital circuits, computer architectures, nano-dimension memories, logic, neuromorphic, and oscillator circuits. However, there is no single component or device available in the market that exhibit memristive behavior. Memristor emulator circuit is introduced to mimic the behavior of a real memristor and emulate its properties. In this work, we propose a transistor-based memristor emulator circuit, which is designed in TSMC 0.18 µm n-well CMOS process technology with a supply voltage of 1.8 V. The results show that the proposed emulator circuit can be switched with a low input voltage of 180 mV and its current-voltage characteristics produces pinched hysteresis loops in the range 15 MHz to 100 MHz, which makes the emulator suitable for high frequency applications. In addition, its layout occupies chip area of 54 µm X 51 µm.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"12 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":"127811224","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/iemcon53756.2021.9623155
K. M. Hasib, Nurul Akter Towhid, Md. Golam Rabiul Alam
Air travel is one of the most used ways of transit in our daily lives. So it's no wonder that more and more people are sharing their experience with airlines and airports using web-based online surveys. This study aims to do topic modeling and sentiment analysis on Skytrax (airlinequality.com) and Tripadvisor (tripadvisor.com) postings where there is a lot of interest and engagement from people who have used it or want to use it for airlines. The goal of individuals gathering at Skytrax and Tripadvisor is to make better decisions based on the actual experiences of other customers who have flown with airlines. We gathered online reviews submitted by consumers who have flown with Bangladesh airlines in the past. The data was collected from internet reviews from 4 Bangladesh airlines, totaling 1095 reviews. With the obtained data, topic modeling and sentiment analysis were utilized to determine key phrases in the online reviews. Through frequency analysis, the topic modeling revealed that ‘airline,’ ‘service,’ ‘crew,’ and ‘food’ were essential concerns in the trip. Furthermore, the results indicated that the primary issue, which may impact customer discontent, was delay, but ‘food’ can make customers satisfied through sentiment analysis, as the result indicates the ‘Food and beverage’ topic with no. of highest word count ‘good’, ‘biman’ and ‘service’ keyword in the topic modeling.
{"title":"Topic Modeling and Sentiment Analysis using Online Reviews for Bangladesh Airlines","authors":"K. M. Hasib, Nurul Akter Towhid, Md. Golam Rabiul Alam","doi":"10.1109/iemcon53756.2021.9623155","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623155","url":null,"abstract":"Air travel is one of the most used ways of transit in our daily lives. So it's no wonder that more and more people are sharing their experience with airlines and airports using web-based online surveys. This study aims to do topic modeling and sentiment analysis on Skytrax (airlinequality.com) and Tripadvisor (tripadvisor.com) postings where there is a lot of interest and engagement from people who have used it or want to use it for airlines. The goal of individuals gathering at Skytrax and Tripadvisor is to make better decisions based on the actual experiences of other customers who have flown with airlines. We gathered online reviews submitted by consumers who have flown with Bangladesh airlines in the past. The data was collected from internet reviews from 4 Bangladesh airlines, totaling 1095 reviews. With the obtained data, topic modeling and sentiment analysis were utilized to determine key phrases in the online reviews. Through frequency analysis, the topic modeling revealed that ‘airline,’ ‘service,’ ‘crew,’ and ‘food’ were essential concerns in the trip. Furthermore, the results indicated that the primary issue, which may impact customer discontent, was delay, but ‘food’ can make customers satisfied through sentiment analysis, as the result indicates the ‘Food and beverage’ topic with no. of highest word count ‘good’, ‘biman’ and ‘service’ keyword in the topic modeling.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"15 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":"127814285","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/iemcon53756.2021.9623092
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/iemcon53756.2021.9623125
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}
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