2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)最新文献
Pub Date : 2020-12-03DOI: 10.1109/HNICEM51456.2020.9400157
Jessie R. Balbin, E. Chua, Joshua Paul C. De Leon, John Humphrey Ronn D. Dolor, Roy Lorenz A. Sese
Power consumption nowadays is now on its peak, paving way to renewable energy technologies in order to sustain the energy demand. One proven abundant and economic source of energy is the sunlight – which can be harvested with the use of photovoltaic systems. However, excessive usage and uncontrolled environmental effects that may take place causes photovoltaic systems to get easily degraded. Hence, the development of monitoring system for PV setups are proposed. This research aims to develop a cloud-based application capable of collecting data on the photovoltaic batteries to determine its state of charge, and to effectively distribute the power on necessary loads, which are predetermined by the consumer, during power failure. The application is expected to display the batteries' state of charge, voltage, and power consumption of loads for further monitoring. The developed prototype was proven to be able to accurately measure the electrical parameters, as well as switch the loads necessary to be supplied during the specific percentage value.
{"title":"Cloud-Based Remote Monitoring System for Photovoltaic Systems with Electrical Load Prioritization","authors":"Jessie R. Balbin, E. Chua, Joshua Paul C. De Leon, John Humphrey Ronn D. Dolor, Roy Lorenz A. Sese","doi":"10.1109/HNICEM51456.2020.9400157","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400157","url":null,"abstract":"Power consumption nowadays is now on its peak, paving way to renewable energy technologies in order to sustain the energy demand. One proven abundant and economic source of energy is the sunlight – which can be harvested with the use of photovoltaic systems. However, excessive usage and uncontrolled environmental effects that may take place causes photovoltaic systems to get easily degraded. Hence, the development of monitoring system for PV setups are proposed. This research aims to develop a cloud-based application capable of collecting data on the photovoltaic batteries to determine its state of charge, and to effectively distribute the power on necessary loads, which are predetermined by the consumer, during power failure. The application is expected to display the batteries' state of charge, voltage, and power consumption of loads for further monitoring. The developed prototype was proven to be able to accurately measure the electrical parameters, as well as switch the loads necessary to be supplied during the specific percentage value.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128881728","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 : 2020-12-03DOI: 10.1109/HNICEM51456.2020.9400083
John Patrick P. Banjao, Kyle S. Villafuerte, J. Villaverde
Abiotic condition is a non-living factor that has a change impact on the growth of the aquaponic system, monitoring is important checking aqueous state in maintaining a nurturing healthy living being around the system. This paper successfully programmed and designed the monitoring of abiotic factors in Aquaponics which are the array of sensors of dissolved oxygen, electrical conductivity, ph, water temperature, and water level of the aquarium. The system developed to give ease to those who have an Aquaponics system that able them to monitor the current state of abiotic factors, whereas most owners rely on manual testing of the said parameters with this, the parameters value can be view thru the Internet-of-Things platforms.
{"title":"Development of Cloud-Based Monitoring of Abiotic Factors in Aquaponics using ESP32 and Internet of Things","authors":"John Patrick P. Banjao, Kyle S. Villafuerte, J. Villaverde","doi":"10.1109/HNICEM51456.2020.9400083","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400083","url":null,"abstract":"Abiotic condition is a non-living factor that has a change impact on the growth of the aquaponic system, monitoring is important checking aqueous state in maintaining a nurturing healthy living being around the system. This paper successfully programmed and designed the monitoring of abiotic factors in Aquaponics which are the array of sensors of dissolved oxygen, electrical conductivity, ph, water temperature, and water level of the aquarium. The system developed to give ease to those who have an Aquaponics system that able them to monitor the current state of abiotic factors, whereas most owners rely on manual testing of the said parameters with this, the parameters value can be view thru the Internet-of-Things platforms.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122614080","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 : 2020-12-03DOI: 10.1109/hnicem51456.2020.9400081
Claire Receli M. Reñosa, E. Sybingco, R. R. Vicerra, A. Bandala
the purpose of this study is to create a network that can detect the state at which the eyes are in at a specific time step through analysis of a dataset recorded using a 14-channel Emotiv EEG Neuroheadset. This study can be useful and serve as a supporting input in the development of other researches and systems that considers eye state and movement as an important factor and input, such as driving state detection projects specifically the classification of drowsiness levels. In this paper, deep learning was applied in creating the network, trained with a total of 10,424 data points, validated to classify only two states: eyes open and eyes closed. The network was trained and completed using MATLAB and Microsoft Excel. Accuracy of the classification action between the testing data and the completed output network in this study achieved 89.23% across all 4,468 data points.
{"title":"Eye State Classification Through Analysis of EEG Data Using Deep Learning","authors":"Claire Receli M. Reñosa, E. Sybingco, R. R. Vicerra, A. Bandala","doi":"10.1109/hnicem51456.2020.9400081","DOIUrl":"https://doi.org/10.1109/hnicem51456.2020.9400081","url":null,"abstract":"the purpose of this study is to create a network that can detect the state at which the eyes are in at a specific time step through analysis of a dataset recorded using a 14-channel Emotiv EEG Neuroheadset. This study can be useful and serve as a supporting input in the development of other researches and systems that considers eye state and movement as an important factor and input, such as driving state detection projects specifically the classification of drowsiness levels. In this paper, deep learning was applied in creating the network, trained with a total of 10,424 data points, validated to classify only two states: eyes open and eyes closed. The network was trained and completed using MATLAB and Microsoft Excel. Accuracy of the classification action between the testing data and the completed output network in this study achieved 89.23% across all 4,468 data points.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"30 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120836045","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 : 2020-12-03DOI: 10.1109/HNICEM51456.2020.9400001
V. J. Ylaya, O. J. Gerasta, Jesrey Martin S. Macasero, Daryl P. Pongcol, Najie M. Pandian, R. R. Vicerra
The study is to develop a Linear Frequency Modulated Continuous Wave LFM-CW short-range radar for detecting subsurface water content with deep learning. Implementation of signal transmission/reception, signal processing, and graphical user interface in LabView. Fabrication of antenna from the design program and water table are enclosed with a Styrofoam box and buried 1m, 3m, and 5m respectively for the experiments. The experiments also involve metal and plastic buried 1m, 3m, and 5m, respectively, for data comparison. The researcher dug a 9×3×5m hole and divided it into three sections with buried objects of different deepness. The first section has a size of 3×3×5m with 2×1 metal plate, 2×1 plastic plate, and 2×1×0.5 water table box. The object is separated by 1m in a triangular manner at 5m depth from the ground. The second section has 3×3×5m with buried object 2×1 metal plate, 2×1 plastic plate, and 2×1×0.5 water table box separated by 1m in a triangular manner with 3m depth from the ground. The last section has 3×3×5m with buried object 2×1 metal plate, 2×1 plastic plate, and 2×1×0.5 water table box separated by 1m in a triangular manner with 1m depth from the ground. The results show a trend with regards to the A-scan measurement window characterizes the different dielectric properties of the water table, metal, and plastic and able to detect objects greater than 1m using the optimized systems. The deep learning method able to prove the interpreted result from the observed A-scan. The study recommends a higher bandwidth and transmitting power hardware to increased range resolution, which will be able to detect shallower objects. Consideration of ultrawideband antenna with higher directivity and gain can also improve the system subsurface detection.
{"title":"Linear Frequency Modulated Continuous Wave LFM-CW Short-Range Radar for Detecting Subsurface Water Content With Deep Learning","authors":"V. J. Ylaya, O. J. Gerasta, Jesrey Martin S. Macasero, Daryl P. Pongcol, Najie M. Pandian, R. R. Vicerra","doi":"10.1109/HNICEM51456.2020.9400001","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400001","url":null,"abstract":"The study is to develop a Linear Frequency Modulated Continuous Wave LFM-CW short-range radar for detecting subsurface water content with deep learning. Implementation of signal transmission/reception, signal processing, and graphical user interface in LabView. Fabrication of antenna from the design program and water table are enclosed with a Styrofoam box and buried 1m, 3m, and 5m respectively for the experiments. The experiments also involve metal and plastic buried 1m, 3m, and 5m, respectively, for data comparison. The researcher dug a 9×3×5m hole and divided it into three sections with buried objects of different deepness. The first section has a size of 3×3×5m with 2×1 metal plate, 2×1 plastic plate, and 2×1×0.5 water table box. The object is separated by 1m in a triangular manner at 5m depth from the ground. The second section has 3×3×5m with buried object 2×1 metal plate, 2×1 plastic plate, and 2×1×0.5 water table box separated by 1m in a triangular manner with 3m depth from the ground. The last section has 3×3×5m with buried object 2×1 metal plate, 2×1 plastic plate, and 2×1×0.5 water table box separated by 1m in a triangular manner with 1m depth from the ground. The results show a trend with regards to the A-scan measurement window characterizes the different dielectric properties of the water table, metal, and plastic and able to detect objects greater than 1m using the optimized systems. The deep learning method able to prove the interpreted result from the observed A-scan. The study recommends a higher bandwidth and transmitting power hardware to increased range resolution, which will be able to detect shallower objects. Consideration of ultrawideband antenna with higher directivity and gain can also improve the system subsurface detection.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116476142","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 : 2020-12-03DOI: 10.1109/HNICEM51456.2020.9400012
Emmanuelle R. Biglete, M. Manuel, Emie Adrielle A. Arellano, Clifford D. De La Cruz, Brian Johanns O. Monteverde, Jennifer C. Dela Cruz, Roderick C. Tud
The selection of an excellent vehicle includes the safety and comfort of passengers which a suspension system provides. The suspension system of a sedan usually consists of control arms, coil spring, and struts. In a sedan-type vehicle, a lower control arm is considered as the most important part of a suspension system because this prevents the wheels from misaligning and separating from the vehicle body. The lower control arm used as subject in this study is a commercially installed lower control arm in a MacPherson strut assembly on a Toyota sedan model – the Vios 2017. In this study, the control arm models are modeled and simulated through Autodesk Fusion 360's CAD/CAE function and topology optimization techniques to reduce the weight and volume. The sprung and unsprung weights are considered in this study as load cases to simulate the redesigned and own design lower control arm model on a flat terrain condition. Static stress analysis is used to generate the design matrix consisting of four parameters namely the deformation, yield stress, safety factor and percent weight reduction on the redesigned models. Topology optimization is achieved through numerous simulations involving changing the shapes and positions of the cut out areas in the lower control arm models.
{"title":"Topology Optimization and Strength Performance Analysis of a Lower Control Arm Sedan Suspension Part","authors":"Emmanuelle R. Biglete, M. Manuel, Emie Adrielle A. Arellano, Clifford D. De La Cruz, Brian Johanns O. Monteverde, Jennifer C. Dela Cruz, Roderick C. Tud","doi":"10.1109/HNICEM51456.2020.9400012","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400012","url":null,"abstract":"The selection of an excellent vehicle includes the safety and comfort of passengers which a suspension system provides. The suspension system of a sedan usually consists of control arms, coil spring, and struts. In a sedan-type vehicle, a lower control arm is considered as the most important part of a suspension system because this prevents the wheels from misaligning and separating from the vehicle body. The lower control arm used as subject in this study is a commercially installed lower control arm in a MacPherson strut assembly on a Toyota sedan model – the Vios 2017. In this study, the control arm models are modeled and simulated through Autodesk Fusion 360's CAD/CAE function and topology optimization techniques to reduce the weight and volume. The sprung and unsprung weights are considered in this study as load cases to simulate the redesigned and own design lower control arm model on a flat terrain condition. Static stress analysis is used to generate the design matrix consisting of four parameters namely the deformation, yield stress, safety factor and percent weight reduction on the redesigned models. Topology optimization is achieved through numerous simulations involving changing the shapes and positions of the cut out areas in the lower control arm models.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125717316","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 : 2020-12-03DOI: 10.1109/HNICEM51456.2020.9400043
C. Monjardin, K. L. D. de Jesus, Kim Steven E. Claro, David Andre M. Paz, Kristine L. Aguilar
Maintaining a stable residential water supply is becoming a challenge as climate change persists to affect environmental conditions. Thus, the use of forecasting tools is suggested as they can detect complications in water management and operation. Artificial neural network (ANN) model was established in this study to analyze the influence of each selected predictors of water supply in Metro Manila which were identified considering the country's condition. The model used socioeconomic surveys and historical climatic data to train and validate the model. Internal model parameters such as the Levenberg-Marquardt algorithm and hyperbolic tangent sigmoid function was utilized. The developed model has a topology of 9-19-1 (input-hidden-output) and it yielded extremely high R-values 0.97013 and very low mean square error of 2.3463. The data were also used in sensitivity analysis to identify the degree of significance for each predictor that are known to affect water usage in urban areas. Among the selected predictors, the household income holds the highest impact on water demand with SI of 1.346599. The number of female adults has the highest significance among the other demographic variables with 1.215813. Rainfall and temperature data must be paid attention to as well as they are in the 3rd and 4th rank, respectively. The model could be used as a basis to plan for the future and to understand how much water the region will need to continuously sustain daily individual and economic activities.
{"title":"Projection of Water Demand and Sensitivity analysis of Predictors affecting Household usage in Urban Areas using Artificial Neural Network","authors":"C. Monjardin, K. L. D. de Jesus, Kim Steven E. Claro, David Andre M. Paz, Kristine L. Aguilar","doi":"10.1109/HNICEM51456.2020.9400043","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400043","url":null,"abstract":"Maintaining a stable residential water supply is becoming a challenge as climate change persists to affect environmental conditions. Thus, the use of forecasting tools is suggested as they can detect complications in water management and operation. Artificial neural network (ANN) model was established in this study to analyze the influence of each selected predictors of water supply in Metro Manila which were identified considering the country's condition. The model used socioeconomic surveys and historical climatic data to train and validate the model. Internal model parameters such as the Levenberg-Marquardt algorithm and hyperbolic tangent sigmoid function was utilized. The developed model has a topology of 9-19-1 (input-hidden-output) and it yielded extremely high R-values 0.97013 and very low mean square error of 2.3463. The data were also used in sensitivity analysis to identify the degree of significance for each predictor that are known to affect water usage in urban areas. Among the selected predictors, the household income holds the highest impact on water demand with SI of 1.346599. The number of female adults has the highest significance among the other demographic variables with 1.215813. Rainfall and temperature data must be paid attention to as well as they are in the 3rd and 4th rank, respectively. The model could be used as a basis to plan for the future and to understand how much water the region will need to continuously sustain daily individual and economic activities.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130474101","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 : 2020-12-03DOI: 10.1109/HNICEM51456.2020.9400114
Kevin Rowel A. Batin, G. Magwili, Flordeliza L. Valiente
Nonlinearity test is composed of differential nonlinearity (DNL) and integral nonlinearity (INL). Nonlinearity error test for digital potentiometer can be very challenging, high resolution digital potentiometer requires larger sample size that will lead to longer test time and higher test cost. Thus, a test method for testing nonlinearity error of a digital potentiometer using automated test equipment (ATE) was developed to reduce the test time for the said parameters. A digital potentiometer of Analog Devices Inc, AD5144, was used on the evaluation. All measurements were within the datasheet specification, which shows that the measurements were accurate. With both DNL and INL measured accurately, a 7.476% test time reduction for nonlinearity error testing of digital potentiometer was achieved on the developed test method.
{"title":"Test Time Reduction for Nonlinearity Error Testing of Digital Potentiometer","authors":"Kevin Rowel A. Batin, G. Magwili, Flordeliza L. Valiente","doi":"10.1109/HNICEM51456.2020.9400114","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400114","url":null,"abstract":"Nonlinearity test is composed of differential nonlinearity (DNL) and integral nonlinearity (INL). Nonlinearity error test for digital potentiometer can be very challenging, high resolution digital potentiometer requires larger sample size that will lead to longer test time and higher test cost. Thus, a test method for testing nonlinearity error of a digital potentiometer using automated test equipment (ATE) was developed to reduce the test time for the said parameters. A digital potentiometer of Analog Devices Inc, AD5144, was used on the evaluation. All measurements were within the datasheet specification, which shows that the measurements were accurate. With both DNL and INL measured accurately, a 7.476% test time reduction for nonlinearity error testing of digital potentiometer was achieved on the developed test method.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132031761","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 : 2020-12-03DOI: 10.1109/HNICEM51456.2020.9400122
Khristopherson C. Cajucom, F. Cruz, G. Magwili
Operational amplifiers are one of the most useful and basic circuit building blocks for analog design. With the continuous technological advancement, most applications, especially on healthcare, demanded low voltage and low power consumption for analog front-end op-amp design. As process technology has become increasingly smaller, the MOS transistors can operate at smaller VGS, VTH, and VDS voltage. This study focuses on designing an op-amp capable of operating at 0.6 V supply voltage under low power condition using sub-threshold region of operation using the 40 nm process technology. The proposed circuit has less than 10 uW power consumption with 13 uV/° $C$ output drift. Design simulation using Monte Carlo is used due to simplicity, optimization and straight forward approximate solution.
{"title":"Design of 0.6 V Sub-Threshold Operational Amplifier in 40 Nm Process","authors":"Khristopherson C. Cajucom, F. Cruz, G. Magwili","doi":"10.1109/HNICEM51456.2020.9400122","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400122","url":null,"abstract":"Operational amplifiers are one of the most useful and basic circuit building blocks for analog design. With the continuous technological advancement, most applications, especially on healthcare, demanded low voltage and low power consumption for analog front-end op-amp design. As process technology has become increasingly smaller, the MOS transistors can operate at smaller VGS, VTH, and VDS voltage. This study focuses on designing an op-amp capable of operating at 0.6 V supply voltage under low power condition using sub-threshold region of operation using the 40 nm process technology. The proposed circuit has less than 10 uW power consumption with 13 uV/° $C$ output drift. Design simulation using Monte Carlo is used due to simplicity, optimization and straight forward approximate solution.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116906286","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 : 2020-12-03DOI: 10.1109/hnicem51456.2020.9400131
S. Clemente, N. Concha
The West Valley Fault Line stretches across Metro Manila and School buildings are essential facilities as it serves as an evacuation center for such events. Rapid Visual Survey is a method in screening structures for potential earthquake hazards. This method was employed to assess seismic hazards of the public schools in Metro Manila within 5km from the fault line. Data collection form from the FEMA P-154 which includes building identification information regarding the target schools was used. Age of the building, irregularities, and soil type were determined on site and during the planning stage. A corresponding score was derived and used as level indicator of the potential seismic hazard of the building. It was found out that 14 buildings out of 139 were potentially seismically hazardous and requires further seismic assessment by the LGUs. A hazard map created using ARCGIS showed effectively the distribution and potential grade of damage of every building in each city. The map can be used to raise social awareness and baseline information to promote safety of the communities in the study area.
{"title":"Assessment of Seismic Vulnerability of Public Schools in Metro Manila within 5 Km from the West Valley Fault Line using Rapid Visual Survey (RVS)","authors":"S. Clemente, N. Concha","doi":"10.1109/hnicem51456.2020.9400131","DOIUrl":"https://doi.org/10.1109/hnicem51456.2020.9400131","url":null,"abstract":"The West Valley Fault Line stretches across Metro Manila and School buildings are essential facilities as it serves as an evacuation center for such events. Rapid Visual Survey is a method in screening structures for potential earthquake hazards. This method was employed to assess seismic hazards of the public schools in Metro Manila within 5km from the fault line. Data collection form from the FEMA P-154 which includes building identification information regarding the target schools was used. Age of the building, irregularities, and soil type were determined on site and during the planning stage. A corresponding score was derived and used as level indicator of the potential seismic hazard of the building. It was found out that 14 buildings out of 139 were potentially seismically hazardous and requires further seismic assessment by the LGUs. A hazard map created using ARCGIS showed effectively the distribution and potential grade of damage of every building in each city. The map can be used to raise social awareness and baseline information to promote safety of the communities in the study area.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115583597","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 : 2020-12-03DOI: 10.1109/HNICEM51456.2020.9400030
Angelica Cordero-Samortin, Jennifer C. Dela Cruz, Ramon G. Garcia, Zoren P. Mabunga
Microbiology is a field that is explored by many biomedical practitioners and other professionals coming from different fields. It deals with microorganisms that are too tiny to be recognized by the human eyes. Staphylococcus aureus is a microorganism considered as a major bacterial human pathogen. It is found on the skin and mucous membranes which causes a wide variety of diseases like bacteremia, infective endocarditis, skin and soft tissue infections. Several studies showed that inhibitory effect of GHz and mobile phone electromagnetic radiation to microorganisms exists. In this research, Staphylococcus aureus were exposed to electromagnetic radiation with frequency of 880MHz which is within Ultra High Frequency (UFH) range. After incubation, the images of the bacterial colonies were captured and analyzed using the algorithm in Matlab which is the Support Vector Machine (SVM). Simulation results showed that from the exposed sample, there were 1,081 colonies. From the unexposed sample, 1,190 colonies were found. These results show inhibitory effect of the electromagnetic radiation to Staphylococcus aureus. This outcome can be used in exploring other applications of electromagnetic radiation and the use of image processing in microbiology and broaden applications of machine learning.
{"title":"The Analysis of Staphylococcus aureus Bacteria after Exposure to Electromagnetic Radiation via Support Vector Machine","authors":"Angelica Cordero-Samortin, Jennifer C. Dela Cruz, Ramon G. Garcia, Zoren P. Mabunga","doi":"10.1109/HNICEM51456.2020.9400030","DOIUrl":"https://doi.org/10.1109/HNICEM51456.2020.9400030","url":null,"abstract":"Microbiology is a field that is explored by many biomedical practitioners and other professionals coming from different fields. It deals with microorganisms that are too tiny to be recognized by the human eyes. Staphylococcus aureus is a microorganism considered as a major bacterial human pathogen. It is found on the skin and mucous membranes which causes a wide variety of diseases like bacteremia, infective endocarditis, skin and soft tissue infections. Several studies showed that inhibitory effect of GHz and mobile phone electromagnetic radiation to microorganisms exists. In this research, Staphylococcus aureus were exposed to electromagnetic radiation with frequency of 880MHz which is within Ultra High Frequency (UFH) range. After incubation, the images of the bacterial colonies were captured and analyzed using the algorithm in Matlab which is the Support Vector Machine (SVM). Simulation results showed that from the exposed sample, there were 1,081 colonies. From the unexposed sample, 1,190 colonies were found. These results show inhibitory effect of the electromagnetic radiation to Staphylococcus aureus. This outcome can be used in exploring other applications of electromagnetic radiation and the use of image processing in microbiology and broaden applications of machine learning.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115466471","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}
2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
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