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/HNICEM48295.2019.9072695
Marvin S. Verdadero, J. D. dela Cruz
Communication is more than spoken language; it is a way of expressing ones thought, ideas and messages. Communication for them has become a great challenge especially the need to communicate with normal people in their daily routine. Hearing/Speech Impaired persons used hand sign language as their language of communication; however, it will only be effective if the person they are interacting with knew the hand sign language. This study developed an assistive device for persons with hearing/speech impairment. The system was designed to interpret their signs or gesture into a corresponding message which were preloaded in the device. The device produced a voice-based message through the audio module and displays the message in LCD. This study was basically a glove based system and a microcontroller based system. Flex sensors, Gyroscope and Accelerometer were incorporated in a glove that can identify the sign language and an Arduino Nano microcontroller unit converted these gestures into voice and text output. The result of the Assistive device during its test-experiments showed that the system can recognized the hand gestures with male and female voice output on each hand gesture with an overall accuracy of recognition of 83.58%.
{"title":"An Assistive Hand Glove for Hearing and Speech Impaired Persons","authors":"Marvin S. Verdadero, J. D. dela Cruz","doi":"10.1109/HNICEM48295.2019.9072695","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072695","url":null,"abstract":"Communication is more than spoken language; it is a way of expressing ones thought, ideas and messages. Communication for them has become a great challenge especially the need to communicate with normal people in their daily routine. Hearing/Speech Impaired persons used hand sign language as their language of communication; however, it will only be effective if the person they are interacting with knew the hand sign language. This study developed an assistive device for persons with hearing/speech impairment. The system was designed to interpret their signs or gesture into a corresponding message which were preloaded in the device. The device produced a voice-based message through the audio module and displays the message in LCD. This study was basically a glove based system and a microcontroller based system. Flex sensors, Gyroscope and Accelerometer were incorporated in a glove that can identify the sign language and an Arduino Nano microcontroller unit converted these gestures into voice and text output. The result of the Assistive device during its test-experiments showed that the system can recognized the hand gestures with male and female voice output on each hand gesture with an overall accuracy of recognition of 83.58%.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"138 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":"88721194","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/HNICEM48295.2019.9072845
E. Fernandez, Jonalyn E. Escosio, Romeo L. Jorda, Michelle Tamase, J. C. Puno, Louiejim Hernandez, August C. Thio-ac, Mark B. Cruz, Camille V. Lumogdang, Eddieson Real
The farmers and vendors in the Philippines classify coconuts through knocking manually either by bare hands or knife as 'mala-uhog', 'mala-kanin' and 'mala-tenga’. The said technique is well-known but yet carries no scientific proof. Thus, the proponents conducted this study to develop a knocking device that automatically classify coconuts by characterizing its maturity according to meat thickness and peak frequency using Fast Fourier Transform (FFT) algorithm. Sixty coconuts were sampled; each being initially categorized by a ‘mangangatok’ to the stage it belongs using the conventional method. Each were knocked using a knife at a constant distance and then opened right after for the measurement of its meat thickness using a Vernier Caliper. The recorded sounds were then analyzed using FFT Algorithm in OCTAVE. Statistical analysis show that each of the three stages has high correlation between 0.869 and 0.897 in terms of meat thickness versus peak frequency. Results showed that ‘malauhog’ coconuts have peak frequency range of about 200 to 400 Hz, 400 to 600 Hz for ‘malakanin’ and 600 to 800 Hz for ‘malatenga’. From these results, a standalone Arduino-based sound acquisition knocking device was developed. The Sound acquisition system is designed to be portable. Its functionality was tested by sampling 119 random coconuts. Results showed that out of 119 there were 10 errors made by the device, exhibiting 91.6% accuracy. The device has capabilities of classifying maturity stages of coconuts which provides efficiency for vendors and compatibility for consumers with no knowledge in the currently known method.
{"title":"Arduino-based Sound Acquisition System Using Fast Fourier Transform Algorithm","authors":"E. Fernandez, Jonalyn E. Escosio, Romeo L. Jorda, Michelle Tamase, J. C. Puno, Louiejim Hernandez, August C. Thio-ac, Mark B. Cruz, Camille V. Lumogdang, Eddieson Real","doi":"10.1109/HNICEM48295.2019.9072845","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072845","url":null,"abstract":"The farmers and vendors in the Philippines classify coconuts through knocking manually either by bare hands or knife as 'mala-uhog', 'mala-kanin' and 'mala-tenga’. The said technique is well-known but yet carries no scientific proof. Thus, the proponents conducted this study to develop a knocking device that automatically classify coconuts by characterizing its maturity according to meat thickness and peak frequency using Fast Fourier Transform (FFT) algorithm. Sixty coconuts were sampled; each being initially categorized by a ‘mangangatok’ to the stage it belongs using the conventional method. Each were knocked using a knife at a constant distance and then opened right after for the measurement of its meat thickness using a Vernier Caliper. The recorded sounds were then analyzed using FFT Algorithm in OCTAVE. Statistical analysis show that each of the three stages has high correlation between 0.869 and 0.897 in terms of meat thickness versus peak frequency. Results showed that ‘malauhog’ coconuts have peak frequency range of about 200 to 400 Hz, 400 to 600 Hz for ‘malakanin’ and 600 to 800 Hz for ‘malatenga’. From these results, a standalone Arduino-based sound acquisition knocking device was developed. The Sound acquisition system is designed to be portable. Its functionality was tested by sampling 119 random coconuts. Results showed that out of 119 there were 10 errors made by the device, exhibiting 91.6% accuracy. The device has capabilities of classifying maturity stages of coconuts which provides efficiency for vendors and compatibility for consumers with no knowledge in the currently known method.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"7 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":"83807088","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/HNICEM48295.2019.9072833
Re-Ann Cristine O. Calimpusan, J. Hora, A. Lowaton
This circuit design presents a CMOS Modified Differential Voltage Multiplier co-integrated with indoor photovoltaic energy harvesting circuit for Wireless Sensor Node device in 65nm CMOS process. This work aims to supply power in Microsemi’s ZL70250, a wireless sensor network transceiver. Extraction of high DC voltage from rectifier block is always a serious bottleneck for energy harvesting. Consequently in this work, a simple mechanism to eliminate (Vth) of the MOS transistor by adding an auxiliary Pmos is proposed. Also, an additional capacitor (Cs) has been split into two capacitors that have been connected to the differential output. For analysis and comparison, the traditional and proposed voltage multiplier circuit is simulated and implemented with 3 stages with load capacitance of 100pF. The proposed voltage multiplier obtains a higher voltage conversion ratio (Gv) of 3.96, much higher than the reference voltage multiplier. The Gv and the generated boosted rectifier output voltage was obtained from 0.5V single PV. The modified architecture is integrated in indoor photovoltaic energy harvesting circuit. Accordingly, with this modification and implementation, this work able to supply power for Microsemi’s ZL70250 that requires 1.2V to 1.8V and less than 1.9mA to operate.
{"title":"CMOS Modified Differential Voltage Multiplier Co-integrated with Indoor Photovoltaic Energy Harvesting in 65nm CMOS Process for WSN Application","authors":"Re-Ann Cristine O. Calimpusan, J. Hora, A. Lowaton","doi":"10.1109/HNICEM48295.2019.9072833","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072833","url":null,"abstract":"This circuit design presents a CMOS Modified Differential Voltage Multiplier co-integrated with indoor photovoltaic energy harvesting circuit for Wireless Sensor Node device in 65nm CMOS process. This work aims to supply power in Microsemi’s ZL70250, a wireless sensor network transceiver. Extraction of high DC voltage from rectifier block is always a serious bottleneck for energy harvesting. Consequently in this work, a simple mechanism to eliminate (Vth) of the MOS transistor by adding an auxiliary Pmos is proposed. Also, an additional capacitor (Cs) has been split into two capacitors that have been connected to the differential output. For analysis and comparison, the traditional and proposed voltage multiplier circuit is simulated and implemented with 3 stages with load capacitance of 100pF. The proposed voltage multiplier obtains a higher voltage conversion ratio (Gv) of 3.96, much higher than the reference voltage multiplier. The Gv and the generated boosted rectifier output voltage was obtained from 0.5V single PV. The modified architecture is integrated in indoor photovoltaic energy harvesting circuit. Accordingly, with this modification and implementation, this work able to supply power for Microsemi’s ZL70250 that requires 1.2V to 1.8V and less than 1.9mA to operate.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"103 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":"85855815","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/HNICEM48295.2019.9073611
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/HNICEM48295.2019.9072763
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/HNICEM48295.2019.9072900
Kyle Jericho Grecia, Antoine Albert Luce, Matthew Adrian Buenaventura, A. Ubando, Ivan Henderson Gue
Climate change has drastically affected our production patterns, negatively distressing the yearly agricultural produce. A core process in the industry is the drying of biomass. Drying increases the value and extends the shelf life of the agricultural products. However, modern drying technologies are still reliant on fossil fuels. Solar-based drying technologies are needed to counteract the fossil fuel dependence. Other than reduction of fuel consumption, solar dryers are easily adaptable to rural communities with heavy reliance on the drying process. Alternative designs have been proposed to improve the performance of the solar dryers, notably integrating thermal energy storage (TES) systems. A limiting factor, however, is that the performance is constrained to the heating capacity of the TES. Previous study has examined the integration of TES with air recirculation, indicating an improved performance. Further evaluation of the dryer with another biomass is needed to illustrate the adaptability of the hybrid feature. This study, therefore, evaluates the performance of solar drying with TES and air recirculation for mango drying. Comparisons were made with other design combinations as a benchmark. Results reveal that the hybrid solar dryer can reduce the drying time from 7.17 hours to 5.32 hours.
{"title":"Design and Evaluation of a Mango Solar Dryer with Thermal Energy Storage and Recirculated Air","authors":"Kyle Jericho Grecia, Antoine Albert Luce, Matthew Adrian Buenaventura, A. Ubando, Ivan Henderson Gue","doi":"10.1109/HNICEM48295.2019.9072900","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072900","url":null,"abstract":"Climate change has drastically affected our production patterns, negatively distressing the yearly agricultural produce. A core process in the industry is the drying of biomass. Drying increases the value and extends the shelf life of the agricultural products. However, modern drying technologies are still reliant on fossil fuels. Solar-based drying technologies are needed to counteract the fossil fuel dependence. Other than reduction of fuel consumption, solar dryers are easily adaptable to rural communities with heavy reliance on the drying process. Alternative designs have been proposed to improve the performance of the solar dryers, notably integrating thermal energy storage (TES) systems. A limiting factor, however, is that the performance is constrained to the heating capacity of the TES. Previous study has examined the integration of TES with air recirculation, indicating an improved performance. Further evaluation of the dryer with another biomass is needed to illustrate the adaptability of the hybrid feature. This study, therefore, evaluates the performance of solar drying with TES and air recirculation for mango drying. Comparisons were made with other design combinations as a benchmark. Results reveal that the hybrid solar dryer can reduce the drying time from 7.17 hours to 5.32 hours.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"14 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":"82036538","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/HNICEM48295.2019.9072734
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/HNICEM48295.2019.9072885
J. M. U. Aguila, H. Dimayuga, K. Pineda, G. Magwili
Solid waste is a problem that keeps on increasing as the population of a country grows. Proper waste management is one solution which would help maintain our green environment. Since production increases the consumption in urban areas has also increased in the quantity of wastes generated. This paper presents a solution wherein waste management can be monitored in real time to keep track of the capacity of the bins in the vicinity using the application created by the researchers in order to assist local government of proper waste management. The proposed system will alert the municipality through the application when the measured waste level is at a certain point. The proposed system consists of ultrasonic sensor to measure the volume of the bins, the load cell to measure the weight of the bin, and an Arduino Uno which controls the system operation. As soon as it reaches a certain point the arduino will send a notification to the person in charge, so that the waste can be collected immediately.
{"title":"Development of Smart Waste Bin with Integrated Volume and Weight Sensor","authors":"J. M. U. Aguila, H. Dimayuga, K. Pineda, G. Magwili","doi":"10.1109/HNICEM48295.2019.9072885","DOIUrl":"https://doi.org/10.1109/HNICEM48295.2019.9072885","url":null,"abstract":"Solid waste is a problem that keeps on increasing as the population of a country grows. Proper waste management is one solution which would help maintain our green environment. Since production increases the consumption in urban areas has also increased in the quantity of wastes generated. This paper presents a solution wherein waste management can be monitored in real time to keep track of the capacity of the bins in the vicinity using the application created by the researchers in order to assist local government of proper waste management. The proposed system will alert the municipality through the application when the measured waste level is at a certain point. The proposed system consists of ultrasonic sensor to measure the volume of the bins, the load cell to measure the weight of the bin, and an Arduino Uno which controls the system operation. As soon as it reaches a certain point the arduino will send a notification to the person in charge, so that the waste can be collected immediately.","PeriodicalId":6733,"journal":{"name":"2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )","volume":"32 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":"89678714","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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