Pub Date : 2019-09-01DOI: 10.1109/CEEC47804.2019.8974318
Rokas Volkovas, Michael Fairbank, John R. Woodward, S. Lucas
Game design is a time-consuming endeavor and, in contrast to other work in game development, has no tools aiding the designer in speeding up the process. In this paper, the initial work towards developing such a tool is presented. It focuses on the extraction of learning curves from single-player, deterministic, turn-based (puzzle) games. Learning curves in such games can be directly associated with their gameplay quality. The extraction is done by training a number of varying size, feed-forward neural networks on the game transition model. The main contribution of the work is the introduction of learning curve based puzzle game design concepts and their practical examples along with a quantitative method for learning curve estimation.
{"title":"Extracting Learning Curves From Puzzle Games","authors":"Rokas Volkovas, Michael Fairbank, John R. Woodward, S. Lucas","doi":"10.1109/CEEC47804.2019.8974318","DOIUrl":"https://doi.org/10.1109/CEEC47804.2019.8974318","url":null,"abstract":"Game design is a time-consuming endeavor and, in contrast to other work in game development, has no tools aiding the designer in speeding up the process. In this paper, the initial work towards developing such a tool is presented. It focuses on the extraction of learning curves from single-player, deterministic, turn-based (puzzle) games. Learning curves in such games can be directly associated with their gameplay quality. The extraction is done by training a number of varying size, feed-forward neural networks on the game transition model. The main contribution of the work is the introduction of learning curve based puzzle game design concepts and their practical examples along with a quantitative method for learning curve estimation.","PeriodicalId":331160,"journal":{"name":"2019 11th Computer Science and Electronic Engineering (CEEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130709061","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 : 2019-09-01DOI: 10.1109/CEEC47804.2019.8974323
M. Capllonch-Juan, F. Sepulveda
Computations of fields from electrodes in extracellular ohmic media in fiber bundles with complex cross-sectional geometries are nowadays aided by the use of Finite Element Methods. However, when endogenous fields from the activity of fibers and ephaptic coupling are taken into account, coupling FEM with a neural model is a formidable task. We present an alternative to this approach, consisting on a Resistor Network (RN) fully implemented in NEURON. This results in a stable EMI model with which we avoid coupling NEURON to an external FEM or Poisson solver and dealing with the corresponding computational burden and risk of numerical instability. The RN is designed to model bundles of parallel fibers in nerves. It embeds the fibers within and uses Voronoi tessellations on their naturally random locations to calculate the values of the resistances interconnecting fibers and regions of the extracellular space. This approach provides a numerical solver for electrical fields, but also with a nearest-neighbour ephaptic coupling model. In this work, we assess the capability of the RN to solve electrical problems when using meshes built from such tessellation techniques on continuous ohmic media. Results show that the RN solves simple problems with good accuracy when compared to FEM and analytic results. Therefore, it is safe to use this method to compute electrical fields in the applications we pursue. This opens a new possibility for effectively studying ephaptic coupling in somewhat complex nerve trunks.
{"title":"Evaluation of a Resistor Network for Solving Electrical Problems on Ohmic Media","authors":"M. Capllonch-Juan, F. Sepulveda","doi":"10.1109/CEEC47804.2019.8974323","DOIUrl":"https://doi.org/10.1109/CEEC47804.2019.8974323","url":null,"abstract":"Computations of fields from electrodes in extracellular ohmic media in fiber bundles with complex cross-sectional geometries are nowadays aided by the use of Finite Element Methods. However, when endogenous fields from the activity of fibers and ephaptic coupling are taken into account, coupling FEM with a neural model is a formidable task. We present an alternative to this approach, consisting on a Resistor Network (RN) fully implemented in NEURON. This results in a stable EMI model with which we avoid coupling NEURON to an external FEM or Poisson solver and dealing with the corresponding computational burden and risk of numerical instability. The RN is designed to model bundles of parallel fibers in nerves. It embeds the fibers within and uses Voronoi tessellations on their naturally random locations to calculate the values of the resistances interconnecting fibers and regions of the extracellular space. This approach provides a numerical solver for electrical fields, but also with a nearest-neighbour ephaptic coupling model. In this work, we assess the capability of the RN to solve electrical problems when using meshes built from such tessellation techniques on continuous ohmic media. Results show that the RN solves simple problems with good accuracy when compared to FEM and analytic results. Therefore, it is safe to use this method to compute electrical fields in the applications we pursue. This opens a new possibility for effectively studying ephaptic coupling in somewhat complex nerve trunks.","PeriodicalId":331160,"journal":{"name":"2019 11th Computer Science and Electronic Engineering (CEEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126873301","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 : 2019-09-01DOI: 10.1109/CEEC47804.2019.8974331
Oluwadunsin Dabor, Edward Longford, Stuart Walker
Cognitive load theory (CLT) is concerned with the design of interfaces that allow users maximize their working memory when problem solving. This includes eliminating any subjective mental load that may be imposed by the instruction interface. Augmented reality (AR) is fast gaining application in areas of education, military, business and medicine with new AR applications developed daily. Despite its wide application little has been done in the area of design guidelines for AR user interface and the evaluation of its effect. This is necessary so as to ensure that users are not burdened by the format and amount of information presented in the augmented view. This work – in – progress aims to propose a framework for designing AR user interfaces that imposes reduced subjective mental workload on users. Particular attention is given to highly cognitive tasks such as simultaneous interpretation. This research work will concentrate on presenting the novel guidelines for the user interface design.
{"title":"Design Guidelines for Augmented Reality User Interface: A Case Study of Simultaneous Interpretation","authors":"Oluwadunsin Dabor, Edward Longford, Stuart Walker","doi":"10.1109/CEEC47804.2019.8974331","DOIUrl":"https://doi.org/10.1109/CEEC47804.2019.8974331","url":null,"abstract":"Cognitive load theory (CLT) is concerned with the design of interfaces that allow users maximize their working memory when problem solving. This includes eliminating any subjective mental load that may be imposed by the instruction interface. Augmented reality (AR) is fast gaining application in areas of education, military, business and medicine with new AR applications developed daily. Despite its wide application little has been done in the area of design guidelines for AR user interface and the evaluation of its effect. This is necessary so as to ensure that users are not burdened by the format and amount of information presented in the augmented view. This work – in – progress aims to propose a framework for designing AR user interfaces that imposes reduced subjective mental workload on users. Particular attention is given to highly cognitive tasks such as simultaneous interpretation. This research work will concentrate on presenting the novel guidelines for the user interface design.","PeriodicalId":331160,"journal":{"name":"2019 11th Computer Science and Electronic Engineering (CEEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132905447","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 : 2019-09-01DOI: 10.1109/CEEC47804.2019.8974330
K. Alheeti, L. Al-Jobouri, Duaa Al-Dosary, M. Al-Ani
the Intelligent Internet of Things (IoT) caught a significant attention in research area and plays a major role in the advancement of technologies to expand the connectivity of electronics devices. Recent studies expected that in 2020 there will be more than 50 million devices connected to IoT. Any technology expansion will always encounter several issues in matters of the driven techniques and energy consumption. One of the performance enhancement techniques for internet of things is power saving. In this paper, a new power saving method is presented to reduce devices power consumption in IoT. The system proposed can save energy by putting node or device into sleep mode depending on the trace file extracted of the network, this can be considered as a new intelligent feature. Our approach proved that a significant enhancement can be done to the node performance in IoT.
{"title":"Energy Conservation Based on Destination-Sequenced Distance-Vector Protocol in Intelligent Internet of Things","authors":"K. Alheeti, L. Al-Jobouri, Duaa Al-Dosary, M. Al-Ani","doi":"10.1109/CEEC47804.2019.8974330","DOIUrl":"https://doi.org/10.1109/CEEC47804.2019.8974330","url":null,"abstract":"the Intelligent Internet of Things (IoT) caught a significant attention in research area and plays a major role in the advancement of technologies to expand the connectivity of electronics devices. Recent studies expected that in 2020 there will be more than 50 million devices connected to IoT. Any technology expansion will always encounter several issues in matters of the driven techniques and energy consumption. One of the performance enhancement techniques for internet of things is power saving. In this paper, a new power saving method is presented to reduce devices power consumption in IoT. The system proposed can save energy by putting node or device into sleep mode depending on the trace file extracted of the network, this can be considered as a new intelligent feature. Our approach proved that a significant enhancement can be done to the node performance in IoT.","PeriodicalId":331160,"journal":{"name":"2019 11th Computer Science and Electronic Engineering (CEEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114512029","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 : 2019-09-01DOI: 10.1109/CEEC47804.2019.8974344
M. Walton, J. Woods, Ge Zheng
Energy Harvesting Systems seek to remove the batteries from electronic devices and replace them with devices that generate directly from the environment around them. This paper presents an intelligent algorithm to manage the charging and discharging of a supercapacitor for use in sensor nodes which has considerable efficiency advantages. The ultralow power microcontrollers used make intelligent decisions whether to sleep or wake according to previously received and stored energy. Using an adaptive strategy of this kind the amount of work can be precisely matched to the resources available to achieve maximum utilization allowing the satisfactory completion of a stated set of tasks.
{"title":"Efficient charging for batteryless solutions in energy harvesting","authors":"M. Walton, J. Woods, Ge Zheng","doi":"10.1109/CEEC47804.2019.8974344","DOIUrl":"https://doi.org/10.1109/CEEC47804.2019.8974344","url":null,"abstract":"Energy Harvesting Systems seek to remove the batteries from electronic devices and replace them with devices that generate directly from the environment around them. This paper presents an intelligent algorithm to manage the charging and discharging of a supercapacitor for use in sensor nodes which has considerable efficiency advantages. The ultralow power microcontrollers used make intelligent decisions whether to sleep or wake according to previously received and stored energy. Using an adaptive strategy of this kind the amount of work can be precisely matched to the resources available to achieve maximum utilization allowing the satisfactory completion of a stated set of tasks.","PeriodicalId":331160,"journal":{"name":"2019 11th Computer Science and Electronic Engineering (CEEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125772342","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 : 2019-09-01DOI: 10.1109/CEEC47804.2019.8974314
W. Chang, Jian-Ping Su, Chia-Hao Hsu, Liang-Bi Chen, Ming-Che Chen, Huang-Chih Chen, Chiu-Fa Lin
This paper proposes an intelligent liquid waste barrels monitoring system, named iCAP system, which is based on the Internet of things (IoT) technologies for detecting abnormal opening and dumping of the liquid waste barrels. The proposed system is composed of an inbound/outbound areas management system, intelligent screw caps (named iCAP), and an online cloud-based platform. The inbound/outbound areas management system can provide inbound/outbound areas status management for the liquid waste barrels during transportation. If the intelligent screw cap mounted on the liquid barrel is unscrewed or closed during outdoor transportation, the related messages of such a situation will be uploaded to the proposed online could platform via the SigFox low power wide area networks (LPWAN) wireless communication technology to provide an effectively management and monitoring of liquid waste container transportation. As a result, the proposed system can avoid the problem of environmental pollution, which is caused by illegal waste dumping in the waste treatment process.
{"title":"iCAP: An IoT-based Intelligent Liquid Waste Barrels Monitoring System","authors":"W. Chang, Jian-Ping Su, Chia-Hao Hsu, Liang-Bi Chen, Ming-Che Chen, Huang-Chih Chen, Chiu-Fa Lin","doi":"10.1109/CEEC47804.2019.8974314","DOIUrl":"https://doi.org/10.1109/CEEC47804.2019.8974314","url":null,"abstract":"This paper proposes an intelligent liquid waste barrels monitoring system, named iCAP system, which is based on the Internet of things (IoT) technologies for detecting abnormal opening and dumping of the liquid waste barrels. The proposed system is composed of an inbound/outbound areas management system, intelligent screw caps (named iCAP), and an online cloud-based platform. The inbound/outbound areas management system can provide inbound/outbound areas status management for the liquid waste barrels during transportation. If the intelligent screw cap mounted on the liquid barrel is unscrewed or closed during outdoor transportation, the related messages of such a situation will be uploaded to the proposed online could platform via the SigFox low power wide area networks (LPWAN) wireless communication technology to provide an effectively management and monitoring of liquid waste container transportation. As a result, the proposed system can avoid the problem of environmental pollution, which is caused by illegal waste dumping in the waste treatment process.","PeriodicalId":331160,"journal":{"name":"2019 11th Computer Science and Electronic Engineering (CEEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124055866","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 : 2019-09-01DOI: 10.1109/CEEC47804.2019.8974333
E. Wächter, Server Kasap, X. Zhai, Shoaib Ehsan, K. Mcdonald-Maier
Soft errors are one of the significant design technology challenges at smaller technology nodes and especially in radiation enviro nments. This paper presents a particular class of approaches to provide reliability against radiation-induced soft errors. The paper provides a review of the lockstep mechanism across different levels of design abstraction: processor design, architectural level, and the software level. This work explores techniques providing modifications in the processor pipeline, techniques allied with FPGA dynamic reconfiguration strategies and different types of spatial redundancy.
{"title":"Survey of Lockstep based Mitigation Techniques for Soft Errors in Embedded Systems","authors":"E. Wächter, Server Kasap, X. Zhai, Shoaib Ehsan, K. Mcdonald-Maier","doi":"10.1109/CEEC47804.2019.8974333","DOIUrl":"https://doi.org/10.1109/CEEC47804.2019.8974333","url":null,"abstract":"Soft errors are one of the significant design technology challenges at smaller technology nodes and especially in radiation enviro nments. This paper presents a particular class of approaches to provide reliability against radiation-induced soft errors. The paper provides a review of the lockstep mechanism across different levels of design abstraction: processor design, architectural level, and the software level. This work explores techniques providing modifications in the processor pipeline, techniques allied with FPGA dynamic reconfiguration strategies and different types of spatial redundancy.","PeriodicalId":331160,"journal":{"name":"2019 11th Computer Science and Electronic Engineering (CEEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127065375","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 : 2019-09-01DOI: 10.1109/CEEC47804.2019.8974336
Amal Sufiuh Ajrash, R. F. Ghani, L. Al-Jobouri
In recent years, there has been a tremendous development in information technology, which has led to the possibility of fast access to different data types over the Internet, one of the data type is video and the ability for the user to watch video directly online. This paper provides a video streaming QoE evaluation metric that does not require any information on the reference video. The proposed system extract numbers of features from videos that are used to train the neural network and finally evaluate the QoE value. Verify training models prediction using 10-fold cross-validation. The proposed system had the best correlation result 0.95 in SRCC metric.
{"title":"ANN based Measurement for No-Reference Video Quality of Experience Metric","authors":"Amal Sufiuh Ajrash, R. F. Ghani, L. Al-Jobouri","doi":"10.1109/CEEC47804.2019.8974336","DOIUrl":"https://doi.org/10.1109/CEEC47804.2019.8974336","url":null,"abstract":"In recent years, there has been a tremendous development in information technology, which has led to the possibility of fast access to different data types over the Internet, one of the data type is video and the ability for the user to watch video directly online. This paper provides a video streaming QoE evaluation metric that does not require any information on the reference video. The proposed system extract numbers of features from videos that are used to train the neural network and finally evaluate the QoE value. Verify training models prediction using 10-fold cross-validation. The proposed system had the best correlation result 0.95 in SRCC metric.","PeriodicalId":331160,"journal":{"name":"2019 11th Computer Science and Electronic Engineering (CEEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124775118","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 : 2019-09-01DOI: 10.1109/CEEC47804.2019.8974315
Patrick Schembri, Mariusz Pelc, Jixin Ma
In this paper, we ensue on the development of a taxonomy aimed at categorizing distractions in the P300b domain. Explicitly, we investigate the effect that auditory distractions, distinctively that of ambient noise (AN), passive talking (PT), and active listening (AL) have on the signal of a visual P300 Speller in terms of accuracy, amplitude, latency, user preference, signal morphology, and overall signal quality. This work is part of a larger EEG based project and is based on the P300 speller BCI (oddball) paradigm and the xDAWN algorithm, with eight healthy subjects; while using a non-invasive Brain-Computer Interface based on low fidelity electroencephalographic (EEG) equipment. Our results show that the accuracy was best for the Lab (LC) at 100%, followed by AN at 92.5%, PT at 90% and last AL at 87.5%, which results were in identical order to the subjects’ preferences. In addition, the amplitude and latency did not show any statistical significance in all settings. This paper provides additional results that impart insight into the practicability of the aforementioned P300 speller methodology and low-cost equipment to be used in real-world applications.
{"title":"The Effect that Auxiliary Taxonomized Auditory Distractions have on a P300 Speller while utilising Low Fidelity Equipment","authors":"Patrick Schembri, Mariusz Pelc, Jixin Ma","doi":"10.1109/CEEC47804.2019.8974315","DOIUrl":"https://doi.org/10.1109/CEEC47804.2019.8974315","url":null,"abstract":"In this paper, we ensue on the development of a taxonomy aimed at categorizing distractions in the P300b domain. Explicitly, we investigate the effect that auditory distractions, distinctively that of ambient noise (AN), passive talking (PT), and active listening (AL) have on the signal of a visual P300 Speller in terms of accuracy, amplitude, latency, user preference, signal morphology, and overall signal quality. This work is part of a larger EEG based project and is based on the P300 speller BCI (oddball) paradigm and the xDAWN algorithm, with eight healthy subjects; while using a non-invasive Brain-Computer Interface based on low fidelity electroencephalographic (EEG) equipment. Our results show that the accuracy was best for the Lab (LC) at 100%, followed by AN at 92.5%, PT at 90% and last AL at 87.5%, which results were in identical order to the subjects’ preferences. In addition, the amplitude and latency did not show any statistical significance in all settings. This paper provides additional results that impart insight into the practicability of the aforementioned P300 speller methodology and low-cost equipment to be used in real-world applications.","PeriodicalId":331160,"journal":{"name":"2019 11th Computer Science and Electronic Engineering (CEEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115028333","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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