2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )最新文献
Pub Date : 2019-11-01DOI: 10.1109/HNICEM48295.2019.9072734
Sandy C. Lauguico, R. Ii, Jonnel D. Alejandrino, Dailyne D. Macasaet, Rogelio Ruzcko Tobias, A. Bandala, E. Dadios
Stock market price forecasting with the use of Technical Analysis is not precise Mathematics. Mostly, prediction is only based on probabilities supported by historical data and patterns. With these, several technical strategies were made by traders to produce signals on trading execution. This study proposes an algorithm that undergoes a certain trading strategy using three fuzzy logic controllers. Technical indicators such as candlestick parameters and Bollinger Bands (BB) were used for triggering the strength of buy, hold, and sell signals. Stock price data were gathered from a certain stock company. These data contain the opening and closing prices that are utilized for computing the BB. The raw and the computed values are the crisp input parameters for the Fuzzy Inference System (FIS). The membership functions were classified to very low, low, high, and very high levels depending on the input default parameters used by traders. Sets of rules were created fuzzy logically to produce signals indicating the strength of an execution recommendation. The system is implemented using NI LabVIEW and MATLAB, proving that the tests are yielding acceptable result of about 94.44%.
{"title":"A Fuzzy Logic-Based Stock Market Trading Algorithm Using Bollinger Bands","authors":"Sandy C. Lauguico, R. Ii, Jonnel D. Alejandrino, Dailyne D. Macasaet, Rogelio Ruzcko Tobias, A. Bandala, E. Dadios","doi":"10.1109/HNICEM48295.2019.9072734","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072734","url":null,"abstract":"Stock market price forecasting with the use of Technical Analysis is not precise Mathematics. Mostly, prediction is only based on probabilities supported by historical data and patterns. With these, several technical strategies were made by traders to produce signals on trading execution. This study proposes an algorithm that undergoes a certain trading strategy using three fuzzy logic controllers. Technical indicators such as candlestick parameters and Bollinger Bands (BB) were used for triggering the strength of buy, hold, and sell signals. Stock price data were gathered from a certain stock company. These data contain the opening and closing prices that are utilized for computing the BB. The raw and the computed values are the crisp input parameters for the Fuzzy Inference System (FIS). The membership functions were classified to very low, low, high, and very high levels depending on the input default parameters used by traders. Sets of rules were created fuzzy logically to produce signals indicating the strength of an execution recommendation. The system is implemented using NI LabVIEW and MATLAB, proving that the tests are yielding acceptable result of about 94.44%.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"42 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87544097","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 : 2019-11-01DOI: 10.1109/HNICEM48295.2019.9073543
J. Lazaro, J. D. dela Cruz, J. Villaverde
Determining the structure of an organic compound are mainly based on the physical and chemical properties, because molecules are so small it is so hard to determine the molecular structure of a compound. In this study, a simple spectrometer is developed through instrumentation and control to perform acquisition of the molecular vibrations and determine the Raman shift in wavenumber of a sample. Because the vibration phenomenon of a molecular bond can be investigated under the Raman spectrum, a charged coupled device (CCD) was used in the instrumentation together with a diffraction grating of 1000lines/mm. The spectrometer built using a charged coupled device (CCD) array is capable of detecting ultra-violet, visible, and near-infrared spectrum. In the near-infrared region the identifying marks of the samples is recorded with energy spectral density that describes the optical wavelength and peaks in the IR spectrum. Using the reaction in the saccharomyces cerevisiae in water, the energy spectral density is monitored and shows that 81.52% of light is absorbed by the given sample during the reaction with wavenumber of 605.75cm-1 which suggest that the molecular vibration is occurring at the fingerprint region under the vibrational spectrum, and light absorption becomes weaker as saccharomyces cerevisiae stop producing carbon dioxide in water with 8.39% but with traces of chemical compounds at 623.14cm-1 Raman shift in wavenumber.
{"title":"Instrumentation of Raman Spectrometry for Acquisition of Molecular Vibration Structure","authors":"J. Lazaro, J. D. dela Cruz, J. Villaverde","doi":"10.1109/HNICEM48295.2019.9073543","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9073543","url":null,"abstract":"Determining the structure of an organic compound are mainly based on the physical and chemical properties, because molecules are so small it is so hard to determine the molecular structure of a compound. In this study, a simple spectrometer is developed through instrumentation and control to perform acquisition of the molecular vibrations and determine the Raman shift in wavenumber of a sample. Because the vibration phenomenon of a molecular bond can be investigated under the Raman spectrum, a charged coupled device (CCD) was used in the instrumentation together with a diffraction grating of 1000lines/mm. The spectrometer built using a charged coupled device (CCD) array is capable of detecting ultra-violet, visible, and near-infrared spectrum. In the near-infrared region the identifying marks of the samples is recorded with energy spectral density that describes the optical wavelength and peaks in the IR spectrum. Using the reaction in the saccharomyces cerevisiae in water, the energy spectral density is monitored and shows that 81.52% of light is absorbed by the given sample during the reaction with wavenumber of 605.75cm-1 which suggest that the molecular vibration is occurring at the fingerprint region under the vibrational spectrum, and light absorption becomes weaker as saccharomyces cerevisiae stop producing carbon dioxide in water with 8.39% but with traces of chemical compounds at 623.14cm-1 Raman shift in wavenumber.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"26 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83966014","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 : 2019-11-01DOI: 10.1109/HNICEM48295.2019.9072763
Joseph Bryan G. Ibarra, Meo Vincent Caya, A. Paglinawan, Jerry Turingan, Sarah Alma P. Bentir, Jim Joseph Monta, Jumarie Mocon, A. Yumang, L. Sabino, M. Teogangco
The influence of technology in the evolution of modern-day education grows significantly as more educational institutions attempt to improve the quality of education. This study aims to develop a hybrid of a classroom response system and learning management system web and android applications without the use of the internet. A technology-needs assessment (TNA) was administered on 213 high school students. The TNA questionnaire was comprised by 16 closed-ended questions, 15 of which required Likert scale-based responses and one required a yes/no response. The TNA data was analyzed with the help of principal component analysis (PCA). The results of the PCA became the basis for the configuration of a wireless local area network of devices connected to a central server through a wireless router dedicated for the implementation of the web and android applications designed for the needs identified by the study. The web and android applications were developed using a test-driven development (TDD) approach. The system configuration was based on the system capacity requirements to enable simultaneous wireless connection of up to 100 mobile devices. Two groups of high school students were identified by the school to be part of the field testing of the web/android app since these students were of significantly similar academic standing in their respective classes. The study group (n=7) used the web/android app in their statistics class and a control group (n=10) were subjected to the traditional classroom set-up. The field testing lasted for two weeks covering various teaching and learning activities including exams. The exam results were subjected to Analysis of Variance using two-sample F-test and t-test. The results show that at 5% significance level, a p-value of 0.0026 was obtained, which indicates that the means between the summative test results data sets are significantly different. The performance of the students in the study group is significantly different from the performance of the students in the control group in the summative test. As observed in the summative test mean scores of the groups, the study group showed significant improvement in their performance when compared to the control group.
{"title":"Technology-Needs Assessment Data Analysis using PCA for the Design of a WLAN-based Hybrid Classroom Response and Learning Management System Android Application","authors":"Joseph Bryan G. Ibarra, Meo Vincent Caya, A. Paglinawan, Jerry Turingan, Sarah Alma P. Bentir, Jim Joseph Monta, Jumarie Mocon, A. Yumang, L. Sabino, M. Teogangco","doi":"10.1109/HNICEM48295.2019.9072763","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072763","url":null,"abstract":"The influence of technology in the evolution of modern-day education grows significantly as more educational institutions attempt to improve the quality of education. This study aims to develop a hybrid of a classroom response system and learning management system web and android applications without the use of the internet. A technology-needs assessment (TNA) was administered on 213 high school students. The TNA questionnaire was comprised by 16 closed-ended questions, 15 of which required Likert scale-based responses and one required a yes/no response. The TNA data was analyzed with the help of principal component analysis (PCA). The results of the PCA became the basis for the configuration of a wireless local area network of devices connected to a central server through a wireless router dedicated for the implementation of the web and android applications designed for the needs identified by the study. The web and android applications were developed using a test-driven development (TDD) approach. The system configuration was based on the system capacity requirements to enable simultaneous wireless connection of up to 100 mobile devices. Two groups of high school students were identified by the school to be part of the field testing of the web/android app since these students were of significantly similar academic standing in their respective classes. The study group (n=7) used the web/android app in their statistics class and a control group (n=10) were subjected to the traditional classroom set-up. The field testing lasted for two weeks covering various teaching and learning activities including exams. The exam results were subjected to Analysis of Variance using two-sample F-test and t-test. The results show that at 5% significance level, a p-value of 0.0026 was obtained, which indicates that the means between the summative test results data sets are significantly different. The performance of the students in the study group is significantly different from the performance of the students in the control group in the summative test. As observed in the summative test mean scores of the groups, the study group showed significant improvement in their performance when compared to the control group.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"9 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84304747","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 : 2019-11-01DOI: 10.1109/HNICEM48295.2019.9072689
J. C. Puno, R. Bedruz, Allysa Kate M. Brillantes, R. R. Vicerra, A. Bandala, E. Dadios
Genetic Algorithm is the method used in this study in classifying the qualitative level of the soil nutrients. The data set includes images coming from the result of the soil testing. The extracted features were the HSV values and the LAB values color space. Out of the six extracted features from the data set, the B from LAB color space is the most linear so with that, it is the input of genetic algorithm in identifying the qualitative level of the soil nutrients. For the run of the program using python programming language and pyCharm CE as IDE, the values of each parameters follow: the population size is 10, mutation rate is 0.01, the number of cross over points is 2 and the maximum number of generations is 1000. The population’s final best fitness has 98.2609% that proves that Genetic Algorithm is an effective method in classifying the qualitative level of the soil nutrients.
{"title":"Soil Nutrient Detection using Genetic Algorithm","authors":"J. C. Puno, R. Bedruz, Allysa Kate M. Brillantes, R. R. Vicerra, A. Bandala, E. Dadios","doi":"10.1109/HNICEM48295.2019.9072689","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072689","url":null,"abstract":"Genetic Algorithm is the method used in this study in classifying the qualitative level of the soil nutrients. The data set includes images coming from the result of the soil testing. The extracted features were the HSV values and the LAB values color space. Out of the six extracted features from the data set, the B from LAB color space is the most linear so with that, it is the input of genetic algorithm in identifying the qualitative level of the soil nutrients. For the run of the program using python programming language and pyCharm CE as IDE, the values of each parameters follow: the population size is 10, mutation rate is 0.01, the number of cross over points is 2 and the maximum number of generations is 1000. The population’s final best fitness has 98.2609% that proves that Genetic Algorithm is an effective method in classifying the qualitative level of the soil nutrients.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"15 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86660877","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 : 2019-11-01DOI: 10.1109/HNICEM48295.2019.9073523
Glen D. Espeña, Geoffrey L. Abulencia, Rodnel O. Tamayo, Jonathan Q. Puerto, Pablo Q. Acuin, Jayson P. Rogelio
This study presents a locally designed and developed semi-permanent coupler for the DOST-MIRDC’s train consisting of five 12-meter-length coaches. Using the Computer-Aided Design (CAD) software, the capability of the coupler for tension and compressive loads were considered. The calculation for the compression load of 1000 kN was required to pull the train in case of emergency towing. The CAD-modelled coupler was then simulated and analyzed using Solidworks software. The simulation was focused only on the collapsible elements for the compression load and the flange, rods, and nuts for the tension load. Using a 2000-kN Test of Metallic Products at MIRDC, the proof load test and breaking load test of 500 kN and 925.61 kN were respectively attained. The result of the tension load testing shows that the designed and fabricated semipermanent coupler is capable of withstanding load of 100 kN with a significant tolerance.
{"title":"Design and Development of a Semi-Permanent Coupler of a Five-Coach Train","authors":"Glen D. Espeña, Geoffrey L. Abulencia, Rodnel O. Tamayo, Jonathan Q. Puerto, Pablo Q. Acuin, Jayson P. Rogelio","doi":"10.1109/HNICEM48295.2019.9073523","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9073523","url":null,"abstract":"This study presents a locally designed and developed semi-permanent coupler for the DOST-MIRDC’s train consisting of five 12-meter-length coaches. Using the Computer-Aided Design (CAD) software, the capability of the coupler for tension and compressive loads were considered. The calculation for the compression load of 1000 kN was required to pull the train in case of emergency towing. The CAD-modelled coupler was then simulated and analyzed using Solidworks software. The simulation was focused only on the collapsible elements for the compression load and the flange, rods, and nuts for the tension load. Using a 2000-kN Test of Metallic Products at MIRDC, the proof load test and breaking load test of 500 kN and 925.61 kN were respectively attained. The result of the tension load testing shows that the designed and fabricated semipermanent coupler is capable of withstanding load of 100 kN with a significant tolerance.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"257 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86926319","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 : 2019-11-01DOI: 10.1109/HNICEM48295.2019.9073611
Juan Miguel H. Villarroel, Jomar B. Calauod, M. Grande, King Harold A. Recto, Ronald M. Pascual
Ideally, instruction is best done one on one. However, due to the scarcity of public school teachers, this ideal remains just that, only an ideal. This ideal, however, can be realized by using a computer-assisted language learning system. One such language that this system can be applied to is the Pangasinense - one of the top ten languages of the Philippines. Using this system, any Filipino can now learn Pangasinense. Creating this involves developing the speech corpus for the Pangasinense language and designing a reading miscue detector (RMD) that employs hidden markov models (HMM) and artificial neural network (ANN). The RMD uses the reference verification (RV) method that compares the input speech to the reference speech found in the Pangasinense speech corpus. The collection of the speech corpus involved 10 native Pangasinense speakers who each recorded a total of 21 phrases and 309 words that were considered as common conversational phrases or words for Pangasinense. The system was initially tested by 10 native Pangasinense speakers, who also speak Filipino, and their scores were set as the reference scores. The system was then put to test by conducting a six-week pilot study participated by 10 Filipino speakers. The system’s effectiveness was then evaluated through the progress trends of all learners’ scores for each module. All learners’ progress curves showed to have a positive slope. In addition, the system’s efficiency was determined by its false alarm rate (FAR), misdetection rate (MdR), and accuracy. The system was able to get a FAR of 26.67% and 30%, MdR of 30.0% and 6.67%, and accuracy of 71.66% and 81.67%, for males and females group, respectively.
{"title":"Developing a Computer-Aided Pangasinense Language Learning System","authors":"Juan Miguel H. Villarroel, Jomar B. Calauod, M. Grande, King Harold A. Recto, Ronald M. Pascual","doi":"10.1109/HNICEM48295.2019.9073611","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9073611","url":null,"abstract":"Ideally, instruction is best done one on one. However, due to the scarcity of public school teachers, this ideal remains just that, only an ideal. This ideal, however, can be realized by using a computer-assisted language learning system. One such language that this system can be applied to is the Pangasinense - one of the top ten languages of the Philippines. Using this system, any Filipino can now learn Pangasinense. Creating this involves developing the speech corpus for the Pangasinense language and designing a reading miscue detector (RMD) that employs hidden markov models (HMM) and artificial neural network (ANN). The RMD uses the reference verification (RV) method that compares the input speech to the reference speech found in the Pangasinense speech corpus. The collection of the speech corpus involved 10 native Pangasinense speakers who each recorded a total of 21 phrases and 309 words that were considered as common conversational phrases or words for Pangasinense. The system was initially tested by 10 native Pangasinense speakers, who also speak Filipino, and their scores were set as the reference scores. The system was then put to test by conducting a six-week pilot study participated by 10 Filipino speakers. The system’s effectiveness was then evaluated through the progress trends of all learners’ scores for each module. All learners’ progress curves showed to have a positive slope. In addition, the system’s efficiency was determined by its false alarm rate (FAR), misdetection rate (MdR), and accuracy. The system was able to get a FAR of 26.67% and 30%, MdR of 30.0% and 6.67%, and accuracy of 71.66% and 81.67%, for males and females group, respectively.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"13 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82969903","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 : 2019-11-01DOI: 10.1109/HNICEM48295.2019.9073341
J. F. V. Oraño, Elmer A. Maravillas, Chris Jordan G. Aliac
Insufficient understanding on the incidence of plant pests and diseases as well as on the appropriate cultural practices against them may worsen the damage and caused a tremendous loss on fruit production. The use of mobile-based solution will significantly contribute on the availability and accessibility of human expert’s knowledge on this domain. In this study, a convolutional neural network was used and deployed on an android-based mobile application to perform detection and diagnosis of jackfruit fruit damages caused by pests (fruit borer and fruit fly) and diseases (rhizopus fruit rot and sclerotium fruit rot). The sequential type model was implemented which is mainly composed of 3 convolutional layers, each activated by a Rectified Linear Unit function and followed by a max pooling layer, and finally 2 dense layers. The model was trained using a total of 2409 images, and when evaluated on a validation dataset with 516 images, a loss rate of 4.58% and an accuracy rate of 97.93% were attained. On the other hand, when it was tested to predict on another set of 516 images, a remarkable success rate of 97.87% was obtained. The result indicates that the application can carry out a reliable and real time assessment on pest infestation and disease infection. Likewise, it provides recommendations on fruit protection measures.
对植物病虫害的发生以及防治病虫害的适当栽培方法了解不足，可能会使损害加重，并对果实生产造成巨大损失。基于移动的解决方案的使用将大大有助于人类专家在这一领域的知识的可用性和可访问性。本研究利用卷积神经网络在基于android的移动应用程序上进行了菠萝蜜果实病虫害(果螟和果蝇)和病害(根霉腐病和菌核腐病)的检测和诊断。实现了顺序型模型，该模型主要由3个卷积层组成，每个卷积层由一个Rectified Linear Unit函数激活，然后是一个max pooling层，最后是2个密集层。该模型共使用2409张图像进行训练，在516张图像的验证数据集上进行评估，失误率为4.58%，准确率为97.93%。另一方面，当对另一组516张图像进行预测测试时，成功率达到了97.87%。结果表明，该应用程序可对病虫害进行实时、可靠的评估。同样，它还就水果保护措施提出了建议。
{"title":"Jackfruit Fruit Damage Classification using Convolutional Neural Network","authors":"J. F. V. Oraño, Elmer A. Maravillas, Chris Jordan G. Aliac","doi":"10.1109/HNICEM48295.2019.9073341","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9073341","url":null,"abstract":"Insufficient understanding on the incidence of plant pests and diseases as well as on the appropriate cultural practices against them may worsen the damage and caused a tremendous loss on fruit production. The use of mobile-based solution will significantly contribute on the availability and accessibility of human expert’s knowledge on this domain. In this study, a convolutional neural network was used and deployed on an android-based mobile application to perform detection and diagnosis of jackfruit fruit damages caused by pests (fruit borer and fruit fly) and diseases (rhizopus fruit rot and sclerotium fruit rot). The sequential type model was implemented which is mainly composed of 3 convolutional layers, each activated by a Rectified Linear Unit function and followed by a max pooling layer, and finally 2 dense layers. The model was trained using a total of 2409 images, and when evaluated on a validation dataset with 516 images, a loss rate of 4.58% and an accuracy rate of 97.93% were attained. On the other hand, when it was tested to predict on another set of 516 images, a remarkable success rate of 97.87% was obtained. The result indicates that the application can carry out a reliable and real time assessment on pest infestation and disease infection. Likewise, it provides recommendations on fruit protection measures.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"60 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90829955","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 : 2019-11-01DOI: 10.1109/HNICEM48295.2019.9072720
Ralph Michael Gabriel D. Alfonso, Gianka M. Bautista, Paula Gonzales, Tim Patrick B. Nieves, Nicole Bianca B. Pol, Kanny Krizzy D. Serrano, Angelo R. dela Cruz
Video compression is essential when conforming to a finite bandwidth and storage space. It performs inter prediction wherein it removes the temporal redundancy between neighboring frames enabling higher compression rates. However, once an error occurred on a reference frame, all the subsequent dependent frames will be in error as well, making compressed videos sensitive to transmission error. In this paper, we propose a method of random intra-refresh rate (RIR) by randomly inserting intra-coded coding tree unit (CTU) to reduce error propagation and improve the robustness to transmission errors without significantly increasing the rate distortion optimization (RDO) cost. Furthermore, this study also made use of channel modeling and simulation using MATLAB and Simulink with the reference software and done by transmitting motion levels and encoding complexity 1080p resolution video over a modelled victim ISDB-T Transmission System with interferer IEEE 802.22 PHY Transmitter sweeping interferer’s power and center frequency. The proposed scheme, implemented using standard H.265 or HEVC encoder, is compared to a pure inter coding simulation with various bitrates, error rates, and refresh rates. Average PSNR improvements of 1.59 dB for 10% RIR, 2.99 dB for 25% RIR, and 4.65 dB for 50% RIR at 33% PER are measured and subjective quality improvements are observed which proves the effectiveness of the proposed scheme.
{"title":"Implementation of Random Intra Refresh on ISDB-T transmission with IEEE 802.22 Interference","authors":"Ralph Michael Gabriel D. Alfonso, Gianka M. Bautista, Paula Gonzales, Tim Patrick B. Nieves, Nicole Bianca B. Pol, Kanny Krizzy D. Serrano, Angelo R. dela Cruz","doi":"10.1109/HNICEM48295.2019.9072720","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072720","url":null,"abstract":"Video compression is essential when conforming to a finite bandwidth and storage space. It performs inter prediction wherein it removes the temporal redundancy between neighboring frames enabling higher compression rates. However, once an error occurred on a reference frame, all the subsequent dependent frames will be in error as well, making compressed videos sensitive to transmission error. In this paper, we propose a method of random intra-refresh rate (RIR) by randomly inserting intra-coded coding tree unit (CTU) to reduce error propagation and improve the robustness to transmission errors without significantly increasing the rate distortion optimization (RDO) cost. Furthermore, this study also made use of channel modeling and simulation using MATLAB and Simulink with the reference software and done by transmitting motion levels and encoding complexity 1080p resolution video over a modelled victim ISDB-T Transmission System with interferer IEEE 802.22 PHY Transmitter sweeping interferer’s power and center frequency. The proposed scheme, implemented using standard H.265 or HEVC encoder, is compared to a pure inter coding simulation with various bitrates, error rates, and refresh rates. Average PSNR improvements of 1.59 dB for 10% RIR, 2.99 dB for 25% RIR, and 4.65 dB for 50% RIR at 33% PER are measured and subjective quality improvements are observed which proves the effectiveness of the proposed scheme.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"16 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90970735","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 : 2019-11-01DOI: 10.1109/HNICEM48295.2019.9073448
J. V. Demata, J. N. M. Dimazana, R. S. Fausto, G. Magwili, E. Chua, M. Pacis
A wind turbine is a device that converts kinetic energy from the wind into electrical energy. The main purpose of this study is to design, construct and test a wind turbine with fuzzy logic controller to manipulate the pitch angle of the blades of the wind turbine. The fuzzy logic controller serves as the main control for the pitch angle control of the wind turbine. It is programmed in such a way that the pitch angle of the blade is dependent to the wind speed and error voltage produced by the wind turbine with respect to the ideal target voltage. The parameters set in the program are based on a desired range of the output voltage of the wind turbine for a battery load and typical wind speed of the chosen location where the prototype will be tested. For the testing of the wind turbine, uncontrolled and controlled environments are considered. The parameters gathered for data are wind speed, voltage, current, computed power and value of the angle of the blades. The best trial with fuzzy logic controller and the best trial without fuzzy logic controller are compared to see the relevance of designing a wind turbine with pitch angle control. Through the outdoor testing with fuzzy logic controller OFF, it was found out that the best case happened when the blades are inclined in 45 degrees because it has the highest average power generated having a value of 86.98 mW compared to the 60, 75 and 90 degrees blade inclination having an average power generated of 78.98 mW, 62.42 mW and 17.88 mW.
{"title":"Utilization of Fuzzy Logic Controller for Pitch Control of a Small Scale Wind Energy Conversion System (WECS)","authors":"J. V. Demata, J. N. M. Dimazana, R. S. Fausto, G. Magwili, E. Chua, M. Pacis","doi":"10.1109/HNICEM48295.2019.9073448","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9073448","url":null,"abstract":"A wind turbine is a device that converts kinetic energy from the wind into electrical energy. The main purpose of this study is to design, construct and test a wind turbine with fuzzy logic controller to manipulate the pitch angle of the blades of the wind turbine. The fuzzy logic controller serves as the main control for the pitch angle control of the wind turbine. It is programmed in such a way that the pitch angle of the blade is dependent to the wind speed and error voltage produced by the wind turbine with respect to the ideal target voltage. The parameters set in the program are based on a desired range of the output voltage of the wind turbine for a battery load and typical wind speed of the chosen location where the prototype will be tested. For the testing of the wind turbine, uncontrolled and controlled environments are considered. The parameters gathered for data are wind speed, voltage, current, computed power and value of the angle of the blades. The best trial with fuzzy logic controller and the best trial without fuzzy logic controller are compared to see the relevance of designing a wind turbine with pitch angle control. Through the outdoor testing with fuzzy logic controller OFF, it was found out that the best case happened when the blades are inclined in 45 degrees because it has the highest average power generated having a value of 86.98 mW compared to the 60, 75 and 90 degrees blade inclination having an average power generated of 78.98 mW, 62.42 mW and 17.88 mW.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"59 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77856131","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 : 2019-11-01DOI: 10.1109/HNICEM48295.2019.9072799
Diane B. Remot, Wenafrida A. Ordejan, Nazi Borjie J. Cortez, Benedict Julius Steven C. Arpon
In the world amidst emerging advanced technologies, social networking sites have revolutionized. The existence of information communication technologies redefines how an individual establishes a connection with another as well as with the organizations that serve them. The researchers were encouraged to create this study to strengthen the interactions of the Students Affairs Office and Student Organization Community in Eastern Visayas State University-Tacloban City by providing an online community platform.This project aimed to allow each member of the campus community preferably the Student Affairs Office and student organizations to engage and to transform the information dissemination from posting information on bulletin boards to posting it online which will reach a larger audience and help manage their daily transactions efficiently. In addition, it guides prospect students who would like to be admitted to EVSU in choosing the probable course of study that fits for them which is termed in the system as course matcher. The proponents used an agile software development scrum model to address the software system to be implemented. Data collection was conducted through observations and interviews with its appropriate clientele that will serve as an input to the solution of the problem addressed.The researchers concluded that the existence of the system will help to efficiently and effectively accomplish the responsibilities of the Student Affairs Office and Student Organizations to the members of the university. Furthermore, the researchers recommend that the system will upgrade its functions on the nearest demands of its client.
{"title":"EVSU Student Organizations and Community Platform","authors":"Diane B. Remot, Wenafrida A. Ordejan, Nazi Borjie J. Cortez, Benedict Julius Steven C. Arpon","doi":"10.1109/HNICEM48295.2019.9072799","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072799","url":null,"abstract":"In the world amidst emerging advanced technologies, social networking sites have revolutionized. The existence of information communication technologies redefines how an individual establishes a connection with another as well as with the organizations that serve them. The researchers were encouraged to create this study to strengthen the interactions of the Students Affairs Office and Student Organization Community in Eastern Visayas State University-Tacloban City by providing an online community platform.This project aimed to allow each member of the campus community preferably the Student Affairs Office and student organizations to engage and to transform the information dissemination from posting information on bulletin boards to posting it online which will reach a larger audience and help manage their daily transactions efficiently. In addition, it guides prospect students who would like to be admitted to EVSU in choosing the probable course of study that fits for them which is termed in the system as course matcher. The proponents used an agile software development scrum model to address the software system to be implemented. Data collection was conducted through observations and interviews with its appropriate clientele that will serve as an input to the solution of the problem addressed.The researchers concluded that the existence of the system will help to efficiently and effectively accomplish the responsibilities of the Student Affairs Office and Student Organizations to the members of the university. Furthermore, the researchers recommend that the system will upgrade its functions on the nearest demands of its client.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"49 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81116498","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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