Pub Date : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284910
Zubaidah Al-Mashhadani, B. Chandrasekaran
With the increasing demand for crops, maintaining high efficiency with large quantities of production is required, and the traditional methods to control the farm is getting tedious and prone to decision making mistakes. Therefore, using robotics to carry on these tasks is useful, as robots can work under adverse weather conditions, and this will protect the farmworker from exposure to health risks, especially that skin cancer is more common among farmers. In this paper, a survey of the implementation and navigation of autonomous aerial and ground robots for monitoring plant health, ripeness, and soil moisture using different approaches is presented. This is a work-in-progress, and these techniques will be implemented on a low-cost affordable robotic vehicle such as the Turtlebot to perform these tasks efficiently, thereby minimizing the presence of human workers on the field during adverse weather conditions hence protecting their health and well-being.
{"title":"Survey of Agricultural Robot Applications and Implementation","authors":"Zubaidah Al-Mashhadani, B. Chandrasekaran","doi":"10.1109/IEMCON51383.2020.9284910","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284910","url":null,"abstract":"With the increasing demand for crops, maintaining high efficiency with large quantities of production is required, and the traditional methods to control the farm is getting tedious and prone to decision making mistakes. Therefore, using robotics to carry on these tasks is useful, as robots can work under adverse weather conditions, and this will protect the farmworker from exposure to health risks, especially that skin cancer is more common among farmers. In this paper, a survey of the implementation and navigation of autonomous aerial and ground robots for monitoring plant health, ripeness, and soil moisture using different approaches is presented. This is a work-in-progress, and these techniques will be implemented on a low-cost affordable robotic vehicle such as the Turtlebot to perform these tasks efficiently, thereby minimizing the presence of human workers on the field during adverse weather conditions hence protecting their health and well-being.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"39 1","pages":"0076-0081"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76535877","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284838
Aya T. Abou-Elkheir, Ehab Farouk Badran, O. Alani
Enhanced waveforms and modulation as well as Multiple-Input Multiple-Output (MIMO) technology are essential elements of the evolution of wireless communication networks. Offset Quadrature Amplitude Modulation Filter-Bank Multicarrier (OQAM-FBMC) is one of the most prominent candidates for deployment in future networks, due to its superior spectral confinement and Cyclic Prefix (CP)-less transmission. Due to the imaginary interference in the OQAM-FBMC symbols, its integration in MIMO systems has always been a challenge. This paper investigates the performance of OQAM-FBMC first with Alamouti Space-Time Block Coding (STBC) MIMO, then with Spatial Multiplexing (SM) MIMO. FBMC is implemented using the Frequency Spreading (FS) approach. The Bit Error Rate (BER) and the Power Spectral Density (PSD) of both systems are compared to that of Orthogonal Frequency-Division Multiplexing (OFDM), over Rayleigh fading channel. The Peak-to-Average Power Ratio (PAPR) is examined. The receiver exploits Zero-Forcing (ZF) or Minimum Mean Square Error (MMSE) Frequency-Domain Equalization (FDE). It is shown that the OQAM-FBMC MIMO system offers highly confined spectrum with a slight decrease in the BER performance compared to its OFDM counterpart.
{"title":"Performance Evaluation of OQAM-FBMC System with STBC/SM MIMO over Rayleigh Fading Channel","authors":"Aya T. Abou-Elkheir, Ehab Farouk Badran, O. Alani","doi":"10.1109/IEMCON51383.2020.9284838","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284838","url":null,"abstract":"Enhanced waveforms and modulation as well as Multiple-Input Multiple-Output (MIMO) technology are essential elements of the evolution of wireless communication networks. Offset Quadrature Amplitude Modulation Filter-Bank Multicarrier (OQAM-FBMC) is one of the most prominent candidates for deployment in future networks, due to its superior spectral confinement and Cyclic Prefix (CP)-less transmission. Due to the imaginary interference in the OQAM-FBMC symbols, its integration in MIMO systems has always been a challenge. This paper investigates the performance of OQAM-FBMC first with Alamouti Space-Time Block Coding (STBC) MIMO, then with Spatial Multiplexing (SM) MIMO. FBMC is implemented using the Frequency Spreading (FS) approach. The Bit Error Rate (BER) and the Power Spectral Density (PSD) of both systems are compared to that of Orthogonal Frequency-Division Multiplexing (OFDM), over Rayleigh fading channel. The Peak-to-Average Power Ratio (PAPR) is examined. The receiver exploits Zero-Forcing (ZF) or Minimum Mean Square Error (MMSE) Frequency-Domain Equalization (FDE). It is shown that the OQAM-FBMC MIMO system offers highly confined spectrum with a slight decrease in the BER performance compared to its OFDM counterpart.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"159 1","pages":"0854-0859"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87887546","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284899
Ohida Rufai Ahutu, H. El‐Ocla
Wireless Sensor Network (WSN) are made of a number of nodes (aka., source nodes) and switches, which can communicate with each other through wireless channels. The infrastructureless nature and architecture of WSN makes it flexible and scalable but the nodes in this network are resource and energy constrained. In this paper we describe the design of a centralized MAC routing protocol (MCRP) to help improve the performance, the network lifetime and to detect wormhole attacks in 802.15.4 wireless sensor networks. A Wormhole attack occurs when an intruder creates a low latency tunnel between two or more sensor nodes to misguide other nodes and exhaust network resources by gaining access to sensitive data. Hence, we designed and implement a routing protocol that considers both performance and energy factors while detecting wormhole attacks. Experimental results from simulations carried out in NS-3 show that our proposed protocol exhibits a reduction in energy consumption of 54% and 42% over LEACH and LEACH-C, respectively. MCRP further improves the performance of the network in terms of propagation delay and packet loss ratio even as the number of nodes increases.
{"title":"MAC Routing Protocol for Improving Efficiency in IEEE 802.15.4 Wireless Sensor Networks","authors":"Ohida Rufai Ahutu, H. El‐Ocla","doi":"10.1109/IEMCON51383.2020.9284899","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284899","url":null,"abstract":"Wireless Sensor Network (WSN) are made of a number of nodes (aka., source nodes) and switches, which can communicate with each other through wireless channels. The infrastructureless nature and architecture of WSN makes it flexible and scalable but the nodes in this network are resource and energy constrained. In this paper we describe the design of a centralized MAC routing protocol (MCRP) to help improve the performance, the network lifetime and to detect wormhole attacks in 802.15.4 wireless sensor networks. A Wormhole attack occurs when an intruder creates a low latency tunnel between two or more sensor nodes to misguide other nodes and exhaust network resources by gaining access to sensitive data. Hence, we designed and implement a routing protocol that considers both performance and energy factors while detecting wormhole attacks. Experimental results from simulations carried out in NS-3 show that our proposed protocol exhibits a reduction in energy consumption of 54% and 42% over LEACH and LEACH-C, respectively. MCRP further improves the performance of the network in terms of propagation delay and packet loss ratio even as the number of nodes increases.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"1 1","pages":"0026-0030"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87065191","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284831
T. Indiketiya
In recent days, high interest is paid on topics related to industrial automation in electrical engineering degree courses. Industrial communication protocol is necessary to teach in such courses. The Controller Area Network (CAN) protocol is a simple two-wire differential serial bus system. This research paper presents the complete methodology followed in designing and implementing a laboratory setup to teach Controller Area Network protocol. Implementation of the laboratory setup is presented. MCP2515 CAN controller and TJA1050 CAN transceiver are used to implement CAN communication in each node with Atmega328P microcontroller. Students can observe the data in the CAN bus using vCAN analyzer. Also, waveform of the CAN bus can be observed in the digital oscilloscope. Students are provided with a lab sheet containing challenging laboratory exercises. They are also given components to do a hands on practical to make two CAN nodes. With that they can understand the functions and properties of CAN while identifying hardware related to CAN nodes. Students are also given chance to understand some standards related to CAN protocol. Experimental results are also presented validating the accuracy of the work done and improvement of the learning experience.
{"title":"Smart and Interactive Laboratory Setup to Teach Controller Area Network Protocol","authors":"T. Indiketiya","doi":"10.1109/IEMCON51383.2020.9284831","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284831","url":null,"abstract":"In recent days, high interest is paid on topics related to industrial automation in electrical engineering degree courses. Industrial communication protocol is necessary to teach in such courses. The Controller Area Network (CAN) protocol is a simple two-wire differential serial bus system. This research paper presents the complete methodology followed in designing and implementing a laboratory setup to teach Controller Area Network protocol. Implementation of the laboratory setup is presented. MCP2515 CAN controller and TJA1050 CAN transceiver are used to implement CAN communication in each node with Atmega328P microcontroller. Students can observe the data in the CAN bus using vCAN analyzer. Also, waveform of the CAN bus can be observed in the digital oscilloscope. Students are provided with a lab sheet containing challenging laboratory exercises. They are also given components to do a hands on practical to make two CAN nodes. With that they can understand the functions and properties of CAN while identifying hardware related to CAN nodes. Students are also given chance to understand some standards related to CAN protocol. Experimental results are also presented validating the accuracy of the work done and improvement of the learning experience.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"1 1","pages":"0797-0803"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89028277","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284823
Fu-Shiung Hsieh
Ridesharing provides an effective approach to reduce the number of cars, fuel consumption and greenhouse gas emissions in the environment. The problem to match passengers and drivers according to their requirements is called a ridesharing problem. Recently, many algorithms have been proposed to solve the ridesharing problem. For example, several meta-heuristic algorithms based on Differential Evolution (DE) approach have been proposed to solve the ridesharing problem. In this paper, we will propose a discrete self-adaptive Differential Evolution algorithm (SaNSDE) with neighborhood search to solve the ridesharing problem. In addition, we will compare with two variants of DE approaches to the ridesharing problem to illustrate effectiveness of the proposed SaNSDE algorithm. Several experiments have been conducted to compare the performance of SaNSDE and two variants of DE algorithms. The results indicate that the proposed SaNSDE algorithm outperforms the two variants of DE algorithms in the literature.
{"title":"Ridesharing based on a Discrete Self-adaptive Differential Evolution Algorithm","authors":"Fu-Shiung Hsieh","doi":"10.1109/IEMCON51383.2020.9284823","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284823","url":null,"abstract":"Ridesharing provides an effective approach to reduce the number of cars, fuel consumption and greenhouse gas emissions in the environment. The problem to match passengers and drivers according to their requirements is called a ridesharing problem. Recently, many algorithms have been proposed to solve the ridesharing problem. For example, several meta-heuristic algorithms based on Differential Evolution (DE) approach have been proposed to solve the ridesharing problem. In this paper, we will propose a discrete self-adaptive Differential Evolution algorithm (SaNSDE) with neighborhood search to solve the ridesharing problem. In addition, we will compare with two variants of DE approaches to the ridesharing problem to illustrate effectiveness of the proposed SaNSDE algorithm. Several experiments have been conducted to compare the performance of SaNSDE and two variants of DE algorithms. The results indicate that the proposed SaNSDE algorithm outperforms the two variants of DE algorithms in the literature.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"41 1","pages":"0696-0700"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84676183","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284951
Muthana Zouri, Nicoleta Zouri, A. Ferworn
The electrocardiogram (ECG) is the most common non-invasive used method for monitoring the heart condition. Combined with other available patient medical data, the manual analysis and evaluation of ECG data become labour intensive and prone to errors. With the increased amount of available digital medical data, there is a need for proper methods to support medical practitioners in the decision-making process. These practitioners base their diagnostic decisions on standardized procedures, combined with field experience. In this paper, we present the conceptual design for an approach to knowledge discovery of ECG data based on ontologies and rules learning using Learning Classifier Systems (LCS). Ontologies can provide a platform and application-independent representation of knowledge based on the patient's medical data. Furthermore, rule-based reasoning provides a mechanism for discovering new knowledge. LCS provide a tool for automatically discovering new rules that are maximally general and can support sequential decision-making process. The use of LCS and rule-based reasoning provide a mechanism for encoding existing and new knowledge that can improve the efficiency of personalized medical treatment.
{"title":"ECG Knowledge Discovery Based on Ontologies and Rules Learning for the Support of Personalized Medical Decision Making","authors":"Muthana Zouri, Nicoleta Zouri, A. Ferworn","doi":"10.1109/IEMCON51383.2020.9284951","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284951","url":null,"abstract":"The electrocardiogram (ECG) is the most common non-invasive used method for monitoring the heart condition. Combined with other available patient medical data, the manual analysis and evaluation of ECG data become labour intensive and prone to errors. With the increased amount of available digital medical data, there is a need for proper methods to support medical practitioners in the decision-making process. These practitioners base their diagnostic decisions on standardized procedures, combined with field experience. In this paper, we present the conceptual design for an approach to knowledge discovery of ECG data based on ontologies and rules learning using Learning Classifier Systems (LCS). Ontologies can provide a platform and application-independent representation of knowledge based on the patient's medical data. Furthermore, rule-based reasoning provides a mechanism for discovering new knowledge. LCS provide a tool for automatically discovering new rules that are maximally general and can support sequential decision-making process. The use of LCS and rule-based reasoning provide a mechanism for encoding existing and new knowledge that can improve the efficiency of personalized medical treatment.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"13 1","pages":"0701-0706"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83166600","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284954
P. Fernando, K. Perera, P. Dissanayake, J. Jayakody, J. Wijekoon, M. Wijesundara
In the past few years, a considerable number of villages bordering elephant populated areas of Sri Lanka have been continuously facing the dire effects of the Human-Elephant conflict. With the expanding human settlements in those natural habitats, the sources of food and water for elephants have gradually diminished over time. Therefore, animals are forced to attack crops. The consequent attacks on the villages cause a steady rise in human and elephant casualties. Within such a context, the existing methods of mitigating the human-elephant conflict have proven to be less effective as they often employ intrusive and harmful methods to ward off elephant threats. Thus, this proposal will focus on a monitoring method that is both nonintrusive and nonharmful to both humans and elephants using IoT technologies. To achieve the said objective, a method is proposed mean to detect elephants, monitor their behavior, and identify elephants' future attacks through seismic data related to elephants and GPS data and notify villages in advance. The data were captured using a hardware setup which includes geophones, circuits for amplification and filtering, and GSM modules for data communication. This method achieved a high accuracy in detecting elephant.
{"title":"Gaja-Mithuru: Smart Elephant Monitoring and Tracking System","authors":"P. Fernando, K. Perera, P. Dissanayake, J. Jayakody, J. Wijekoon, M. Wijesundara","doi":"10.1109/IEMCON51383.2020.9284954","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284954","url":null,"abstract":"In the past few years, a considerable number of villages bordering elephant populated areas of Sri Lanka have been continuously facing the dire effects of the Human-Elephant conflict. With the expanding human settlements in those natural habitats, the sources of food and water for elephants have gradually diminished over time. Therefore, animals are forced to attack crops. The consequent attacks on the villages cause a steady rise in human and elephant casualties. Within such a context, the existing methods of mitigating the human-elephant conflict have proven to be less effective as they often employ intrusive and harmful methods to ward off elephant threats. Thus, this proposal will focus on a monitoring method that is both nonintrusive and nonharmful to both humans and elephants using IoT technologies. To achieve the said objective, a method is proposed mean to detect elephants, monitor their behavior, and identify elephants' future attacks through seismic data related to elephants and GPS data and notify villages in advance. The data were captured using a hardware setup which includes geophones, circuits for amplification and filtering, and GSM modules for data communication. This method achieved a high accuracy in detecting elephant.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"7 1","pages":"0461-0467"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83192416","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284846
Wilmer Stalin Erazo, Germán Patricio Guerrero, Carlos Carrión Betancourt, Iván Sánchez Salazar
Nowadays, the evolution of artificial intelligence is present in almost every field of the modern science and technology, because it is a powerful tool for analysis and quick decision making, enabling capacity to automate various processes in companies, government institutions, or research groups through one of the preferred techniques for automated software processes. Thus, the use of this kind tool has allowed us to develop a Chatbot (robot) that has the ability to simulate the conversation with a human being, to answer very specific questions [1]. Artificial intelligence has the ability to acquire, and achieve goals in the computer world, trying to emulate the way human intelligence process information. Currently, there are several creations in Chatbot that allows automating recurring processes, can decrease the response times of an activity, guarantee the availability of the service, and or omit the presence of a person, and it is very useful for process where there is a certain type of prevented behavior. In the health area, it is essential to have an assistant who knows how to give information at any time of the day, specially in a worldwide pandemic crises, but in funny hours is more complicated to have an online attendant to answer specific questions about the illness. The present work shows the results of an implementation of a Chatbot based on Artificial Intelligence to help the Medical Department at UDLA University in Ecuador, to detect possible cases of COVID-19, and for help to alleviate the saturated health system, and more importantly to collect information to prevent the dissemination of the infectious disease, we have created a platform to interact with possible infected persons who get the support from the University facilities.
{"title":"Chatbot Implementation to Collect Data on Possible COVID-19 Cases and Release the Pressure on the Primary Health Care System","authors":"Wilmer Stalin Erazo, Germán Patricio Guerrero, Carlos Carrión Betancourt, Iván Sánchez Salazar","doi":"10.1109/IEMCON51383.2020.9284846","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284846","url":null,"abstract":"Nowadays, the evolution of artificial intelligence is present in almost every field of the modern science and technology, because it is a powerful tool for analysis and quick decision making, enabling capacity to automate various processes in companies, government institutions, or research groups through one of the preferred techniques for automated software processes. Thus, the use of this kind tool has allowed us to develop a Chatbot (robot) that has the ability to simulate the conversation with a human being, to answer very specific questions [1]. Artificial intelligence has the ability to acquire, and achieve goals in the computer world, trying to emulate the way human intelligence process information. Currently, there are several creations in Chatbot that allows automating recurring processes, can decrease the response times of an activity, guarantee the availability of the service, and or omit the presence of a person, and it is very useful for process where there is a certain type of prevented behavior. In the health area, it is essential to have an assistant who knows how to give information at any time of the day, specially in a worldwide pandemic crises, but in funny hours is more complicated to have an online attendant to answer specific questions about the illness. The present work shows the results of an implementation of a Chatbot based on Artificial Intelligence to help the Medical Department at UDLA University in Ecuador, to detect possible cases of COVID-19, and for help to alleviate the saturated health system, and more importantly to collect information to prevent the dissemination of the infectious disease, we have created a platform to interact with possible infected persons who get the support from the University facilities.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"29 2 1","pages":"0302-0307"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82729784","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284896
N. Bomberger, Scott Kuzdeba, T. S. Brandes, Andrew Radlbeck, D. Garagic
In this work, we demonstrate an initial application of Bayesian program learning (BPL) to learn models for individual radio frequency (RF) transmitters based on a single training signal for each transmitter. Once learned, these models are used to classify individual RF transmitters based on one signal observation. BPL improves upon other machine learning techniques by learning and classifying effectively from small amounts of training data. BPL programs represent concepts as probabilistic generative models expressed as structured procedures in an abstract description language. These models explicitly account for both concept-specific and context-dependent mechanisms, allowing them to perform well under dynamic environmental conditions. In this ongoing research, we demonstrate our system using signals from a small population of software-defined radios (SDRs) with known signal encodings in a laboratory environment, and provide a path forward for expanding it to larger populations, more signal types, and challenging transmission environments.
{"title":"Bayesian Program Learning for Modeling and Classification of RF Emitters","authors":"N. Bomberger, Scott Kuzdeba, T. S. Brandes, Andrew Radlbeck, D. Garagic","doi":"10.1109/IEMCON51383.2020.9284896","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284896","url":null,"abstract":"In this work, we demonstrate an initial application of Bayesian program learning (BPL) to learn models for individual radio frequency (RF) transmitters based on a single training signal for each transmitter. Once learned, these models are used to classify individual RF transmitters based on one signal observation. BPL improves upon other machine learning techniques by learning and classifying effectively from small amounts of training data. BPL programs represent concepts as probabilistic generative models expressed as structured procedures in an abstract description language. These models explicitly account for both concept-specific and context-dependent mechanisms, allowing them to perform well under dynamic environmental conditions. In this ongoing research, we demonstrate our system using signals from a small population of software-defined radios (SDRs) with known signal encodings in a laboratory environment, and provide a path forward for expanding it to larger populations, more signal types, and challenging transmission environments.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"88 1","pages":"0062-0067"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83849034","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284857
Janchris Espinoza, Samantha Alexis Malubay, Melchizedek I. Alipio, Alexander C. Abad, Valentino Asares, Maria Jamelina Joven, Gabrielle Francesca Domingo
Nowadays, machines are used almost anywhere to perform tasks more efficiently compared to humans, but they cannot successfully finish a task if they are not controlled by a human user. Humans would be able to control machines more accurately, reducing risks and errors, if haptic feedback is simultaneously present during operation. This work presents the design and evaluation of a human-controlled robotic hand with haptic feedback. The haptic design makes it capable for the robotic hand to generate vibrations to the user's fingers through a glove when pressure is applied to the object. Moreover, it aims to produce a robotic arm capable of mimicking the hand movements of the user for grasping and lifting objects. Results show that the system is able to grasp and lift water bottles as the object of varying types and amount of water content.
{"title":"Design and Evaluation of a Human-controlled Haptic-based Robotic Hand for Object Grasping and Lifting","authors":"Janchris Espinoza, Samantha Alexis Malubay, Melchizedek I. Alipio, Alexander C. Abad, Valentino Asares, Maria Jamelina Joven, Gabrielle Francesca Domingo","doi":"10.1109/IEMCON51383.2020.9284857","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284857","url":null,"abstract":"Nowadays, machines are used almost anywhere to perform tasks more efficiently compared to humans, but they cannot successfully finish a task if they are not controlled by a human user. Humans would be able to control machines more accurately, reducing risks and errors, if haptic feedback is simultaneously present during operation. This work presents the design and evaluation of a human-controlled robotic hand with haptic feedback. The haptic design makes it capable for the robotic hand to generate vibrations to the user's fingers through a glove when pressure is applied to the object. Moreover, it aims to produce a robotic arm capable of mimicking the hand movements of the user for grasping and lifting objects. Results show that the system is able to grasp and lift water bottles as the object of varying types and amount of water content.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"94 1","pages":"0068-0075"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83903819","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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