2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)最新文献
Reynalin B. Deveza, Shawn Michael L. Lamod, April Jem H. Saccuan, J. Villaverde, E. Macalalad
{"title":"Development of a Microcomputer-Based Data Acquisition System for the SuperSID Monitor in the Philippines","authors":"Reynalin B. Deveza, Shawn Michael L. Lamod, April Jem H. Saccuan, J. Villaverde, E. Macalalad","doi":"10.1109/HNICEM.2018.8666229","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666229","url":null,"abstract":"The study of the changes in the behaviour of the Ionosphere is of great importance due to its influence on radio propagations. Stanford University’s SuperSID monitor is used to study these changes by tracking the strength of very low frequency signals over time. The purpose of this research is to setup a SuperSID monitor in Manila, Philippines using a microcomputer as the main computing device. The Data Acquisition (DAQ) system includes a loop antenna, a preamplifier, a USB sound card, and a Raspberry Pi microcomputer. The system output is a SID data graph which is a plot of the relative VLF signal strength over time from NWC (19.8 kHz) and NDT (22.2 kHz) VLF transmitters. Pattern for the VLF signal strength during daytime was distinguished as more stable, compared to the fluctuations during night time. Also, the sunrise and sunset signatures were observed from the graph and were characterized as a gradual decay on VLF signal strength and as a sudden drop on VLF signal strength, respectively. To validate the signatures, it was compared to the actual civil twilight terminators over the monitor, the transmitter, and the midpoint or the center of minimum distance between the monitor (MIT-PH) and the transmitter. Based from the results, the minimum signal strengths from the SID graph correspond closely to the time when the civil twilight ends or starts over the midpoint of the monitor-transmitter pair.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128407564","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}
B. Cruz, Amiel Ross H. Encina, Heidi M. Macale, Claire Nicole R. Lavarias, Eliseo Q. Ramirez, Marilou N. Jamis, Jayson Raymund D. Bermudez, R. R. Guadaña, Emeliza R. Yabut
{"title":"HeartBeat+: A Development of Mobile Application on Recording and Monitoring Blood Pressure Readings for Hypertensive Patients","authors":"B. Cruz, Amiel Ross H. Encina, Heidi M. Macale, Claire Nicole R. Lavarias, Eliseo Q. Ramirez, Marilou N. Jamis, Jayson Raymund D. Bermudez, R. R. Guadaña, Emeliza R. Yabut","doi":"10.1109/HNICEM.2018.8666317","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666317","url":null,"abstract":"Hypertension can harm your body quietly. It is not a disease, but a major risk factor for having a heart attack, stroke, kidney failure, aneurysm and other serious conditions. It can be preventable by adopting change in lifestyle. To address these problems, a proposed mobile application that can provide solutions for prevention and lifestyle modification. The main goal of this project is to design and develop the HeartBeat+ mobile application on recording and monitoring blood pressure readings for hypertensive patients. This application keeps the records of the vital signs of the patient and tracks their daily food intake to help them identify what triggers their high blood pressure every time. Also, there is a web Application for doctors to monitor the status of their patients.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117130768","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}
R. Bedruz, Aaron Christian P. Uy, Ana Riza F. Quiros, R. Billones, E. Sybingco, A. Bandala, E. Dadios
{"title":"A Robotic Model Approach of an Automated Traffic Violation Detection System with Apprehension","authors":"R. Bedruz, Aaron Christian P. Uy, Ana Riza F. Quiros, R. Billones, E. Sybingco, A. Bandala, E. Dadios","doi":"10.1109/HNICEM.2018.8666321","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666321","url":null,"abstract":"This study suggests a robotic model approach to create a sample traffic violation detection system with apprehension scenario before such system can be implemented in a real road. The model used two robots, one for the moving object which will be detected by the camera and one for the robot that will follow the moving object if its speed reaches a certain limit. The captured images from the camera were fed to an algorithm which detects the centroid of the moving object to track its speed, thereby deciding if it is moving beyond the reference speed. The result of this algorithm was fed to the tracker robot, which then mobilizes and follows the moving object when the moving object exceeds the speed limit.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125330881","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}
Md. Rashedul Islam, R. Bhuiyan, Nadeem Ahmed, Md. Rajibul Islam
{"title":"PCA and ICA Based Hybrid Dimension Reduction Model for Cardiac Arrhythmia Disease Diagnosis","authors":"Md. Rashedul Islam, R. Bhuiyan, Nadeem Ahmed, Md. Rajibul Islam","doi":"10.1109/HNICEM.2018.8666331","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666331","url":null,"abstract":"An arrhythmia is a fluctuation in the continuous beat of the heart (i.e., anomalous rhythm). Arrhythmia is considered a hazardous disease causing genuine medical problems in patients, when left untreated. For saving lives, early diagnosis of arrhythmias would be very conducive. The P-QRS-T wave of the Electrocardiogram (ECG) signal illustrates the cardiac function. However, it is a tough task to extract the discriminant information from a large number of data of ECG signal. In this perspective, this study exhibits a novel approach for diagnosing diseases related to cardiac arrhythmia. In this proposed model, a hybrid dimension reduction model including Independent and Principal Component Analysis (ICA, PCA) are introduced and machine learning features are extracted for disease diagnosis. The original ECG data are splitted into several windows and consider as input of dimension reduction process. After completing the ICA and PCA process, the different components of ICA and PCA are used for feature extraction. Finally, the Multi-Class Support Vector Machine (MCSVM) is used for training and identifying the disease. For evaluating the proposed method, MIT-BIH dataset is used. According to the experiment, the proposed model shows better classification accuracy using the first components of ICA and PCA algorithms, which is 98.67%.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126592796","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}
R. Billones, R. Bedruz, Shaina Mara D. Caguicla, Kyle Martin S. Ilagan, Katrina Richelle C. Monsale, A. Santos, I. Valenzuela, J. P. Villanueva, E. Dadios
{"title":"Cardiac and Brain Activity Correlation Analysis Using Electrocardiogram and Electroencephalogram Signals","authors":"R. Billones, R. Bedruz, Shaina Mara D. Caguicla, Kyle Martin S. Ilagan, Katrina Richelle C. Monsale, A. Santos, I. Valenzuela, J. P. Villanueva, E. Dadios","doi":"10.1109/HNICEM.2018.8666392","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666392","url":null,"abstract":"This study examines the correlation between cardiac function and brain activity during events of physical and psychological stress. Electrocardiography (ECG) and electroencephalography (EEG) are known procedures for investigating the correlation between the signal complexity of the brain and cardiac activity. The degree of association between ECG and EEG signals is examined and tested with various activities by simultaneously recording ECG and EEG measurements. Eight subjects participated in the conduct of the experiment consisting of 4 females and 4 males. Each were given tasks such as sit still, jog and watch thrilling video clips, while wearing ECG and EEG sensors. The results showed an increase in both heart rate and brain activity (alpha, beta, delta, and theta waves) upon stimulus activation. The study suggests that some brain activity is associated with a certain stimulus activated by different kind of tasks.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124927570","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}
Christian Y. Cahig, J. J. Villanueva, R. Bersano, M. Pacis
{"title":"Optimal Virtual Power Plant Scheduling using Elephant Herding Optimization","authors":"Christian Y. Cahig, J. J. Villanueva, R. Bersano, M. Pacis","doi":"10.1109/HNICEM.2018.8666249","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666249","url":null,"abstract":"A virtual power plant (VPP) is an aggregate of any combination of distributed generation (DG), energy storage (ES) devices, and interruptible loads (ILs), exercising active control over these resources so that they are represented as a single flexible unit in the main grid and in the electricity market. Due to physical and economic constraints, the scheduling of VPP resources is regarded as an optimization problem. This study proposes a decision tool for a VPP operator in optimizing the profits in scheduling of VPP resources participating in a day-ahead market. The decision tool is based on elephant herding optimization (EHO), a relatively new metaheuristic technique inspired by the social behaviour of elephants. The method is implemented on a test system with a VPP comprising DGs, ES devices, and ILs. Economic characteristics of these resources and of the network were considered. The results from a test case validate the algorithm’s ability to manage the scheduling of VPP resources, thereby suggesting that it can perform well as a decision support tool to the VPP operator.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125082248","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}
F. Cruz, Sheena Lyn A. Sarimos, Mark Rommel L. Collado, Francis C. Penetrante, Mely V. Llano, Jesse Michael E. Baltazar
{"title":"Validation of Ship Detection Targets from High Frequency Surface Wave Radar","authors":"F. Cruz, Sheena Lyn A. Sarimos, Mark Rommel L. Collado, Francis C. Penetrante, Mely V. Llano, Jesse Michael E. Baltazar","doi":"10.1109/HNICEM.2018.8666356","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666356","url":null,"abstract":"Due to the heterogeneous signals received by the HFSWR, there are signals that are irrelevant and redundant. Further, the CFAR used to detect the targets was validated through visual interpretation using the AIS data as the reference. This study performed OBIA to classify true targets and possible clutters which were validated using the AIS data. The classification performed the SVM based on Gaussian RBF. Overall accuracy from error matrix based on test and training mask acquired 92%, 91% and 90% respectively. Hence, the classification methodology produced acceptable accuracy. Pre-processing of the dataset may be required producing better accuracy.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121618063","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}
H. Ong, G. Y. Toh, A. R. Villagracia, Cheng-kuo Tsai, N. Arboleda, A. Culaba, Maria Carla Manzano, R. Doong, G. N. Santos, M. David
{"title":"Effect of Mesoporous Nanoparticles from LCD Glass Panels Waste toward Polypropylene Based Hybrid Composites","authors":"H. Ong, G. Y. Toh, A. R. Villagracia, Cheng-kuo Tsai, N. Arboleda, A. Culaba, Maria Carla Manzano, R. Doong, G. N. Santos, M. David","doi":"10.1109/HNICEM.2018.8666336","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666336","url":null,"abstract":"Mesoporous nanoparticles from LCD glass panels were successfully used as reinforcing agent combined with maleic anhydride as compatibilizer in polypropylene based hybrid composites. The mixing process was carried out at 180°C by using Brabender internal mixer. The composite with 5 wt% compatibilizer and 2 wt% of nanoparticles in the polypropylene revealed the highest value of melt flow index among the composites. Water absorption property and melt flow index have generally exhibited an inverse relationship when the filler amount is increased. The compatibilized composites have the ability to retard the water absorption as the content of compatibilizer increased. Additionally, the compatibilized composite have improved the mechanical properties either in tensile or flexural tests. Observation through the scanning electron microscope shows good compatibility between the polypropylene and mesoporous nanoparticles with the presence of maleic anhydride in the composite material.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131517507","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}
Pocholo James M. Loresco, I. Valenzuela, A. Culaba, E. Dadios
{"title":"Viola-Jones Method of Marker Detection for Scale-Invariant Calculation of Lettuce Leaf Area","authors":"Pocholo James M. Loresco, I. Valenzuela, A. Culaba, E. Dadios","doi":"10.1109/HNICEM.2018.8666244","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666244","url":null,"abstract":"Leaf area can be used as a growth parameter as such it increases as the stage of lettuce progress. Consideration of scale invariance in estimating the area poses challenging machine vision problems in a smart farm setup. To address this, a marker with known size and components is utilized for the system for normalizing area measurements. This study proposes an automated object detection (marker) using Viola-Jones algorithm that uses Haar features. Based on the result of this study, a high detection rate applied to 40 test samples is obtained by using 30 positive samples and 50 negative samples. The small sample size is compensated by increased number of stages and decreased lower false positive rate for each stage. Future work includes adding training sets and using other methods such as Speeded Up Robust Features (SURF).","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130774256","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}
{"title":"Life Cycle Assessment of Torrefied Algal Biomass","authors":"D. R. Rivera, A. Culaba, A. Ubando","doi":"10.1109/HNICEM.2018.8666259","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666259","url":null,"abstract":"Biomass from microalgae and its residues can be burned directly, however it cannot be directly utilized to replace coal in the industry for power generation. This is due to its lower heating value as compared to coal. To solve this issue, a thermochemical process known as torrefaction is used. This increases the heating value of microalgal biomass to approximately the same level of coal. However, in order to consider for a large-scale production, the likely environmental impact of the prospective industrial scale should be gauged. Therefore, this paper presents a life cycle assessment of the production of torrefied microalgal biomass. Secondary data from the literature are then obtained and analyzed using a commercially available life cycle assessment tool SimaPro 8.5.2. Upon grouping the environmental impacts to three damage category, Damage to Human Health resulted to be the highest in all the production stages with 66.6% as compared to damage to Resources (29.2%) and Ecosystems (4.22%). The production stages are also weighed and the result revealed that the cultivation stage accounts for the highest combined environmental impacts with 65.7%. Upon scrutinizing the cultivation stage, large burden came from the use of fertilizers and electricity. Therefore, cultivation using inorganic fertilizers should be lessened. The use of waste nutrients from industries can be considered (organic fertilizers). Although microalgae have the potential for carbon capture and the torrefied algal biomass and its residue as a replacement for coal, the production process into its conversion to solid fuel using the electricity requires a suitable approach. Identifying other sources of energy and new technology should be addressed to help reduce the energy demand.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130962988","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}