2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)最新文献
Justine Caesar C. Ferrer, Froilan E. De Guzman, Kaye Louize E. Gardon, Ronn Jarod R. Rosales, D.A. Dell Michael Badua, Drake Raphael Marcelo
{"title":"Extended 10 x 10 PlayFair Cipher","authors":"Justine Caesar C. Ferrer, Froilan E. De Guzman, Kaye Louize E. Gardon, Ronn Jarod R. Rosales, D.A. Dell Michael Badua, Drake Raphael Marcelo","doi":"10.1109/HNICEM.2018.8666250","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666250","url":null,"abstract":"In this paper, the original 5x5 matrix of PlayFair cipher has been extended to 10 x 10 PlayFair table, in order to maximize all possible characters that might be accepted using an ordinary QWERTY keyboard layout. The goal of this enhancement is to provide basic modification of classical encryption technique that promotes a simpler algorithm that will not require a complex design of the program. The research includes the simulation of encryption based from the plaintext that will conclude to better suggestion of encryption keyword. The original rule of the cipher is also modified such as the characters used for the uneven plaintext and filler character to be used if in case the pairing before the encryption may have the same characters. The repetition of characters on the keyword is allowed, hence the succeeding repeated characters will be neglected. As part of the experiment of this extended cipher, avalanche effect is tested to validate the extreme changes on the ciphertext.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122434063","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":"Comparative Analysis in the Performance of the FH90 Squirrel Cage Alternating Current (AC) Motor using MP1015 Variable Frequency Inverter Drive and Normal Frequency Supply","authors":"G. Magwili, R. Bersano, M. Pacis","doi":"10.1109/HNICEM.2018.8666269","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666269","url":null,"abstract":"Three-phase electric motors are very rugged machines that have to withstand almost endless abuse from end users and still continue to perform to specification. There are several variables of which end user is often unaware. In this study, the researchers will conduct experiments in determining the performance of the FH90 Squirrel Cage Motor first by using the normal frequency supply, second with the use MP1015 Variable Frequency Inverter Drive in the input terminals and third with the aid of a thermistor in the rotor windings. The performance of the FH 90 motor can be determined by plotting the performance curves in each experiment. It is observed that when using the MP1015, the torque is constant when the supply frequency is varied from 48-90 Hz this is because the ratio of the voltage and frequency is constant throughout the experiment. In the third procedure, it is observed that when using MP 1015 VFID in the FH90 motor, the torque of the load is constant and the temperature rises only from 20-30 Hz and from 80 to 90 Hz. Beyond these values, the motor experiences a rise in temperature and thus more power losses has been developed. But when the motor is expected to run in normal frequency supply, the FH 90 motor experiences constant rise in temperature from 0.1 N-m to 0.5 N-m. Thus, the motor must be provided with a cooling fan to prevent it from harmful effects of overheating.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122903395","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}
Lloyd Vincent R. Asuncion, Joan Xyrel P. De Mesa, Patrick Kyle H. Juan, Nathaniel T. Sayson, A. Cruz
{"title":"Thigh Motion-Based Gait Analysis for Human Identification using Inertial Measurement Units (IMUs)","authors":"Lloyd Vincent R. Asuncion, Joan Xyrel P. De Mesa, Patrick Kyle H. Juan, Nathaniel T. Sayson, A. Cruz","doi":"10.1109/HNICEM.2018.8666422","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666422","url":null,"abstract":"Data security is an increasing concern due to the rapid pace of technological development and Internet of Things (IoT) implementation today. Mobile smartphones in particular is becoming a common place in the handling of sensitive information, leaving these devices vulnerable to data breaches. Biometric authentication is a viable alternative to current mobile phone security methods due to it being inherent to an individual. One biometric authentication parameter of active interest is the human gait. Sensor-based gait identification, in particular, is widely being researched due to the advantages of motion sensors being portable, wearable, and able to capture 3D motion. In this study, the researchers emulate a smartphone‘s IMU using two sensors that are simultaneously placed on the right and left thigh of 10 volunteers, of ages 2026, emulating the two most common placements of a smartphone. The acquired gait data from the IMUs, pitch, roll, and yaw angles, of the volunteers are the variables of this study. This study demonstrates the potential of human gait in biometric authentication with a Convolutional Neural Network gait identification algorithm. The algorithm is applied on 4 datasets, 3 of which are single-parameter datasets and 1 comprising of all the three parameters, roll, pitch, and yaw. For both left and right thigh data, the highest classification accuracy (98.34%) and precision (98.42%) were yielded by the three-parameter dataset, followed by the dataset comprising only of yaw parameter with a highest yielded average accuracy of 93.02% and an average yielded precision of 93.82%. The elapsed time during the training of each dataset is also recorded. The CNN training duration of the three-parameter dataset took almost 3.6 times longer than that of a single-parameter dataset.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116621076","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}
E. Fernandez, Eliezer R. Gobres, August C. Thio-ac, Mikko S. Jandumon, Clien Luis G. Ong, Rio B. Perez, Patrick G. Ramos
{"title":"Design Optimization of Low Power Wind Belt Electric Generator using Piezoelectric Transducer","authors":"E. Fernandez, Eliezer R. Gobres, August C. Thio-ac, Mikko S. Jandumon, Clien Luis G. Ong, Rio B. Perez, Patrick G. Ramos","doi":"10.1109/HNICEM.2018.8666404","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666404","url":null,"abstract":"This paper presents the design optimization of a wind belt electric generator using piezoelectric transducer for low power devices. The current wind belt energy harvester usually generates electricity through electromagnetic induction wherein a permanent magnet that is on the oscillating membrane, which is the belt, between or in proximity with copper coils induces electrical current. This prototype innovates this conventional wind belt generator by replacing the magnet and copper coil components by a piezoelectric material. This harvester operates via aeroelastic flutter where a wind slightly about 3 m/s that passes through a membrane causes a vibration where the belt is pushed into two contradicting forces. Then the piezoelectric transducers at the end of the belt generates electricity through this vibrating motion. The alternating voltage induced from the piezoelectric transducer was then rectified and filtered enough to power up low power devices like an array of light emitting diodes. A series of experiments were conducted to optimize the wind belt design parameters such as the frame length, belt length, belt material, and the exposed length of piezoelectric transducer to obtain optimum induced voltage. Results show that the best belt material is the latex rubber, while the optimum frame and belt length are 0.86m and 0.75m, respectively. Also, the optimum length exposure of the piezoelectric transducer is found to be 75 percent. The prototype was also tested to determine the minimum run time the generator will yield a stable output. Finally, a quadratic multivariate model showing the relationship of the belt and frame length to the induced voltage of the generator was created.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117104003","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}
Mary Anne M. Sahagun, Armie T. Caparas, Reynaldo H. Gomez
{"title":"Assessment and Forecasting of Electric Load Demand of Don Honorio Ventura Technological State University","authors":"Mary Anne M. Sahagun, Armie T. Caparas, Reynaldo H. Gomez","doi":"10.1109/HNICEM.2018.8666233","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666233","url":null,"abstract":"Careful management of energy consumption is indeed vital. Energy consumption can be effectively managed, if it is accurately quantified; this allows the development of awareness on how much energy is being consumed within an institution, residence or industrial facility. The amount of expenditure on electric usage gives pressure to the institution’s operation and maintenance especially on state universities and colleges that are given tight budget allocation by the government per year. This study aims to assess the present and future electric load demand of Don Honorio Ventura Technological State University-Main Campus. The study had used Time Series Analysis and Nonlinear Model to evaluate energy consumption. Medium –term forecasting was considered and was analyzed using data analysis toolpak of Microsoft Excel 2013 for statistical treatment and Matlab R2015 for forecasting. Results show that the month of July has the highest percentage of energy consumption of 11% while the months of January and April have the least percentage of 6%. Exponential regression model was used because of its good result on cross validation, low RMSE value of 4.1 0e4, and high R squared value of 0.9778. The highest percentage energy consumption was observed from electric meter number 130. The researchers find the need to conduct different models in electric load demand forecasting and proper identification of loads per building is suggested.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128275753","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":"Fish Tracking and Counting using Image Processing","authors":"Ramil G. Lumauag, Marevic Nava","doi":"10.1109/HNICEM.2018.8666369","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666369","url":null,"abstract":"This paper presents a simple method of tracking and counting fish images using an image processing technique. An experiment to capture images of fish population was conducted and fish images were processed using blob analysis and Euclidean filtering. The focus of this paper is to present the image processing technique and test the detection and counting accuracy. The results of the experiment show that the proposed method obtained a high level of detection and accuracy. Finally, recommendations for future improvements are provided.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128243532","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. Eustaquio, Colin Velasco, Bernard Chi, Jarred Cheng, R. Baldovino, R. Bedruz, A. Bandala, R. R. Vicerra
{"title":"Arduino-based Chug Meter With Force Sensing Resistor And Accelerometer","authors":"G. Eustaquio, Colin Velasco, Bernard Chi, Jarred Cheng, R. Baldovino, R. Bedruz, A. Bandala, R. R. Vicerra","doi":"10.1109/HNICEM.2018.8666340","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666340","url":null,"abstract":"With just about anything and everything being automated or technologized, there remains endless ordinary and mundane objects at easy disposal. An arduino platform was utilized for its many advantages including fast processing and simple interface. The important age-old pub debate of who can chug beer the fastest is to be put to an end with a revolutionary chug meter. To recognize when the beer is lifted up from the coaster to start the timer and when the beer is placed back on the coaster to stop the timer, a force sensing resistor was used. Moreover, the modification of this prototype involves a validation that the beer is being “chugged” or consumed with the incorporation of an accelerometer to sense that the beer is tilted the entire time after it is lifted from the coaster.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128649399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christian Y. Cahig, J. J. Villanueva, R. Bersano, M. Pacis
{"title":"Dynamic Network Clustering for Distribution System Resilience Against Typhoon Events","authors":"Christian Y. Cahig, J. J. Villanueva, R. Bersano, M. Pacis","doi":"10.1109/HNICEM.2018.8666431","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666431","url":null,"abstract":"Natural disasters intensified by climate change stimulated the recent efforts to develop power system resilience both in the structural and in the operational sense. This study proffers an operational resilience framework that uses distributed generation (DG) and switches in order to pick up critical loads through dynamically forming DG-powered clusters in a radial distribution system damaged by a typhoon onslaught. As an innovation to consider a typhoon event’s spatiotemporal conditions in cluster formation, we use wind-based line fragility curves to simulate line damages, and introduce a load priority update scheme based on government-mandated flood hazard levels. A mixed-integer optimization problem is also formulated to maximize the priority-weighted load pickup during clustering, without violating power system operation requirements. MATLAB-based implementations use the IEEE 37-node radial distribution test system, modified to include DG units and geographically mapped lines and nodes. Numerical results suggest effectiveness of the proposed scheme in terms of dynamically forming clusters optimized according to load pickup priorities and system operation requirements. Program runtime is also found out to be affected by the system size and the load flow convergence settings.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129638854","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}
Xychryz A-ron P. Calangian, J. Gonzales, Crizel Aile N. Hilario, J. M. López, Boyd Lemuel E. Rulona, Immanuel Jose C. Valencia, R. Billones, Pocholo James M. Loresco, I. Valenzuela, E. Dadios
{"title":"Vision-based Canopy Area Measurements","authors":"Xychryz A-ron P. Calangian, J. Gonzales, Crizel Aile N. Hilario, J. M. López, Boyd Lemuel E. Rulona, Immanuel Jose C. Valencia, R. Billones, Pocholo James M. Loresco, I. Valenzuela, E. Dadios","doi":"10.1109/HNICEM.2018.8666251","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666251","url":null,"abstract":"Canopy area measurement is one of the important crop growth factors that is considered for the crop yield. This has been widely used parameter all over the world. Yet, the development of a system that can automatically computes the canopy area of the crop is still a challenge. In this study, a vision-based system is proposed. The system captures the image of the crop and process this through image processing algorithm. The extracted feature of the image is the pixel count. This pixel count determines the canopy area of the crop. A mathematical model was developed for the approximation of the canopy area.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130288828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pocholo James M. Loresco, May Rose C. Imperial, King Harold A. Recto, Francisco L. Uyvico
{"title":"Detection of R Peaks and RR Intervals in Electrocardiogram Print-outs Using Wavelet Transforms and Hough Transforms","authors":"Pocholo James M. Loresco, May Rose C. Imperial, King Harold A. Recto, Francisco L. Uyvico","doi":"10.1109/HNICEM.2018.8666425","DOIUrl":"https://doi.org/10.1109/HNICEM.2018.8666425","url":null,"abstract":"The analysis of patient’s cardio-vascular activities using the ECG clinical paper printouts necessitates previous knowledge and practice. An important aspect of this is detecting the R peaks as this is needed to measure heart rate and to detect arrhythmia (irregular heartbeat). Prior researches on extraction of ECG data from paper image strips using image processing are limited. This study analyzes ECG readings and retrieves R peaks and RR time intervals using image processing methods. Using wavelet transforms and Hough transforms, lines of ECG waveforms were extracted. Extracting peaks from the line end points and then the RR intervals were also done using the developed algorithm. This methodology proved to have high accuracy in the detection of R peaks and RR intervals.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126875442","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}