2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)最新文献
Emeliza R. Yabut, Charles Michael C. Te, Ermarie Nicole L. Faeldonea, Cyril M. Lepiten, Jan Patrick A. Villadores, Marilou N. Jamis, Rosauro E. Manuel
{"title":"A framework for guiding travelers and promoting of different tourist destinations in the Philippines using mobile platform","authors":"Emeliza R. Yabut, Charles Michael C. Te, Ermarie Nicole L. Faeldonea, Cyril M. Lepiten, Jan Patrick A. Villadores, Marilou N. Jamis, Rosauro E. Manuel","doi":"10.1109/HNICEM.2017.8269534","DOIUrl":"https://doi.org/10.1109/HNICEM.2017.8269534","url":null,"abstract":"In the current generation, people are more into traveling more than ever. They like to record their experiences in places they had been to; share their experiences through telling their tales. Today, mobile devices are mostly their means of recording (storing) those experiences. Mobile applications can be used such as; photo/video albums, note takers, and a social media application of their preference. The objective of the study is to develop a mobile app that will guide travelers and will promote the different tourist destinations in the Philippines. PhilTrip will be a mobile application that is specifically for those who are eager, passionate, and enthusiastic about traveling in the Philippines. The proposed mobile application will enable the travelers (users) to share their travel experiences all the while promoting the destinations and the Philippines itself.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123869185","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}
Florence Jean B. Talirongan, Alexander A. Hernandez
{"title":"Issues and challenges on academic information systems: A quantitative study utilizing purdue usability testing questionnaire","authors":"Florence Jean B. Talirongan, Alexander A. Hernandez","doi":"10.1109/HNICEM.2017.8269466","DOIUrl":"https://doi.org/10.1109/HNICEM.2017.8269466","url":null,"abstract":"Information systems are widely used by the organizations especially in higher education institutions to help transactions become efficient and easier. Higher education institutions are continuing to leverage technological application to increase productivity in their workplaces. This paper presents the assessment on the issues of utilizing usability features of a system by the faculty of a university. The study found out that the employment type (full-time and part-time faculty) and employment status (tenure and non-tenure) of the faculty members does not affect the usability features in using the E-Grade system. Data showed that perceived content was rated high by both full-time and part-time faculty members since the content of the E-Grade system's wording of the text is clear, long text or statements on the website is well partitioned into sections, the wording and label format of the website are consistent and the symbols for graphic data are standard and can be easily understood. In terms of employment status, the tenure faculty members rated high on the perceived content while non-tenure rated high on the perceived graphics since they found that the color codes presented in the website was conventional, can be easily distinguished and it makes the text readable.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124184100","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":"Implementation of machine vision as an input to a fuzzy water level control system","authors":"Ryann Alimuin, Edwin J. Calilung, E. Dadios","doi":"10.1109/HNICEM.2017.8269484","DOIUrl":"https://doi.org/10.1109/HNICEM.2017.8269484","url":null,"abstract":"In this paper, a Type I fuzzy logic controller (FLC) is applied to execute machine vision parameters such as object tracking and image processing on a specific color threshold. This system is used to compensate for large power consumption of current PID controllers that are currently being used in industrial tank systems. The aim of the implemented fuzzy controller is to utilize the conventional camera to replace existing level sensors and linear variable differential transformers (LVDT) in monitoring the water level inside a reservoir under a definite tolerance. The camera is integrated in a Roborealm machine vision software which analyses the input parameter. An embedded Arduino microcontroller handles the regulation pump which maintains the specified water level onto user defined conditions. It is found out that the fuzzy system produced a better solution than conventional control techniques.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129744832","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}
Alvin Titus R. Angus, John Alvin P. Guillen, Maurice Laurence G. Lenon, Ray Justin C. Principe, Gerald P. Feudo, Kanny Krizzy D. Serrano
{"title":"A clustering system utilizing acquired age and gender demographics thru facial detection and recognition technology","authors":"Alvin Titus R. Angus, John Alvin P. Guillen, Maurice Laurence G. Lenon, Ray Justin C. Principe, Gerald P. Feudo, Kanny Krizzy D. Serrano","doi":"10.1109/HNICEM.2017.8269504","DOIUrl":"https://doi.org/10.1109/HNICEM.2017.8269504","url":null,"abstract":"Clustering has become relevant to an increasing amount of applications, particularly since the rise of social platforms and electronic marketing. Nevertheless, performance of existing methods on real-world images is still significantly lacking, especially when compared to the tremendous leaps in performance recently reported for the related task of facial recognition and classification. Our design for a Clustering system asses a particular group on what type of relation they have from each other, this system takes advantage of both demographic information taken from facial recognition and the interpersonal distance of the audience from one another.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128665201","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}
G. Cagatan, Jo-Ann V. Magsumbol, R. Baldovino, E. Sybingco, E. Dadios
{"title":"Connectivity analysis of wireless sensor network in two-dimensional plane using Castalia simulator","authors":"G. Cagatan, Jo-Ann V. Magsumbol, R. Baldovino, E. Sybingco, E. Dadios","doi":"10.1109/HNICEM.2017.8269492","DOIUrl":"https://doi.org/10.1109/HNICEM.2017.8269492","url":null,"abstract":"This paper presents a connectivity analysis of a wireless sensor network (WSN). We used Castalia simulator to model a WSN using Long Range (LoRa) technology. We then performed simulations using various transmitter powers and field sizes. The results were plotted to determine their effects to successful packet transmission.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127666083","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}
Chester Rei E. Duhaylungsod, Czarina Eloise B. Magbitang, Jan Faith Isaac R. Mercado, George Elison D. Osido, Shannen Andrea C. Pecho, Angelo R. dela Cruz
{"title":"Detection of gait abnormality through leg symmetry and temporal parameters","authors":"Chester Rei E. Duhaylungsod, Czarina Eloise B. Magbitang, Jan Faith Isaac R. Mercado, George Elison D. Osido, Shannen Andrea C. Pecho, Angelo R. dela Cruz","doi":"10.1109/HNICEM.2017.8269519","DOIUrl":"https://doi.org/10.1109/HNICEM.2017.8269519","url":null,"abstract":"This paper proposes a method for detecting gait abnormality through the correlation between the thighs and shanks of the left and right leg of the subjects and the comparison of temporal parameters by using MetaMotionR — an Inertial Measurement Unit (IMU) sensor from Mbientlab. Temporal gait parameters which can be derived in this study are double limb support time, gait cycle time or stride time, stance time, swing time, and step time. Using the method proposed, the results of the correlation of the thigh and shank of both left and right leg shows a value which is close to 1 which indicates that symmetry between both legs. On an average of 31.93% difference among all temporal parameters, the normal gait and the abnormal gait can be compared and shows that the temporal parameters for the gait with abnormality has a larger value due to the knee injury.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"69 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120994829","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":"Environmental wireless sensor network using raspberry Pi 3 for greenhouse monitoring system","authors":"Roselle B. Anire, F. Cruz, I. Agulto","doi":"10.1109/HNICEM.2017.8269426","DOIUrl":"https://doi.org/10.1109/HNICEM.2017.8269426","url":null,"abstract":"In this paper, the development of wireless sensor network applied in greenhouse monitoring is presented. The greenhouse monitoring system was developed by integrating environmental sensor such as temperature, humidity and soil moisture in a microcomputer Linux board which is the Raspberry Pi 3. Sensor calibration is also presented to ensure the data accuracy for a controlled environment. Utilizing the WiFi capability of the Raspberry Pi 3 established the wireless network between the nodes and the data aggregator. An environmental monitoring platform is created for the deployment of the sensor nodes and evaluation of the Greenhouse Monitoring System in an actual controlled chamber.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131725089","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}
M. V. Caya, F. Cruz, Patricia Joy R. Blas, Miriam M. Cagalingan, R. Malbas, Wen-Yaw Chung
{"title":"Determining spoilage level against time and temperature of tomato-based Filipino cuisines using electronic nose","authors":"M. V. Caya, F. Cruz, Patricia Joy R. Blas, Miriam M. Cagalingan, R. Malbas, Wen-Yaw Chung","doi":"10.1109/HNICEM.2017.8269443","DOIUrl":"https://doi.org/10.1109/HNICEM.2017.8269443","url":null,"abstract":"Every person has different perspective on whether a food is spoiled, and this may lead to wrong assumptions on the food's condition. Misinterpretation on food condition could lead to food-borne illness. The need for electronic nose system for classifying if a food is spoiled is still in demand due to this prediction confusion. This study aims to detect food spoilage of tomato-based Filipino cuisines using an electronic nose. Specifically, this research aims to develop a device with an array of sensors to detect the gases emitted by spoiled tomato-based Filipino cuisines and implement Artificial Neural Network as an algorithm for the classification of the data reading of the sensor. The hardware part of the e-nose system makes use of Gizduino 1281, Raspberry Pi 3 model B, 20×4 LCD Screen, 7 MQ gas sensors, and 1 temperature/humidity sensor. Stochastic Gradient Descent together with Back propagation algorithm is used for training the Artificial Neural Network data. The tomato-based Filipino cuisine is placed below the sensor chamber for easy recognition of the gas sensors emitted by the cuisine itself. The study could be useful in classifying whether food is spoiled. This electronic nose system could determine spoilage level of a specific tomato-based Filipino cuisine. The researchers assigned level 0 to 12 as the spoilage level. These levels correspond to the time when the food is observed every four hours starting 7:00 AM of Day 1. As the experiment continued, it was also that the food often spoiled between levels 5 and 6. Based on the confusion matrix, the error rate of the electronic nose system is 3.85%.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134263940","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}
M. V. Caya, F. Cruz, N. Linsangan, Mary Allen Mae D. Catipon, Patrick Ivan T. Monje, Hannah Kay R. Tan, Wen-Yaw Chung
{"title":"Basal body temperature measurement using e-textile","authors":"M. V. Caya, F. Cruz, N. Linsangan, Mary Allen Mae D. Catipon, Patrick Ivan T. Monje, Hannah Kay R. Tan, Wen-Yaw Chung","doi":"10.1109/HNICEM.2017.8269444","DOIUrl":"https://doi.org/10.1109/HNICEM.2017.8269444","url":null,"abstract":"Once in every menstrual cycle of a woman, hormones change to trigger the release of egg in the ovary, which we call ovulation. Recording the basal body temperature every morning is one method to determine if a woman is ovulating. The basal body temperature is the lowest body temperature taken right after waking up and before engaging in any physical activities. In developing the wearable device, e-textile was used to measure the basal body temperature of a woman. By comparing the prototypes with digital thermometer and applying T-Test to validate the results, it was determined that the prototypes are functioning properly. As an alternative device, women will be able to measure their basal body temperature every morning.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133183753","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":"3D space mapping using inertial navigation with GA-KF","authors":"Meléndez Díaz, J. D. dela Cruz","doi":"10.1109/HNICEM.2017.8269421","DOIUrl":"https://doi.org/10.1109/HNICEM.2017.8269421","url":null,"abstract":"Dead reckoning module is a form of inertial navigation system which uses the combination of accelerometer, gyro and compass to work similarly as Global Positioning System (GPS). This study integrates a hybrid of Genetic Algorithm and Kalman Filter to a dead reckoning module for accuracy improvement. This study successfully developed an experimental device using accelerometer, gyro and compass, and a microcontroller for embedded implementation of Kalman Filter and Genetic Algorithm. Simultaneously, a three-dimensional coordinates was taken from the experimental device and the GPS when it is navigating under water. Granted that the objective is for the device to operate and give systematic accurate results, measuring and mapping a certain area undeterred by interferences or obstructions. Based on the conducted experiments under given circumstances and environment where obstructions such as buildings, walls, body of water, the device presented that utilizes Genetic Algorithm Based Dead Reckoning and Kalman filter can be accepted as a way to map places with obstructions aforementioned with an accuracy of 2meters, therefore presenting the high possibility of 3D Space Mapping.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128925440","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}