2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)最新文献
Justin Bernard A. Carlos, Francisco Emmanuel T. Munsayac, N. Bugtai, R. Baldovino
{"title":"MRI Knee Image Enhancement using Image Processing","authors":"Justin Bernard A. Carlos, Francisco Emmanuel T. Munsayac, N. Bugtai, R. Baldovino","doi":"10.1109/HNICEM54116.2021.9732053","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9732053","url":null,"abstract":"In the biomedical field, magnetic resonance imaging (MRI) is a process widely used to produce images of internal parts of various parts of the body. One common part of the body that is no stranger to this process is the knee. Despite the clear images that it produces, it is still vulnerable to defects known as technical artifacts. Among the various types of technical artifacts, motion artifacts are one of the many common defects encountered in MRI images. The presence of such defects in knee MRI images could lead to errors in diagnosing and treating a patient’s knee in case that it is injured. This could result into the worsening of the condition of the patient’s knee which would cost them even more. In this research, an image enhancement program was developed that could minimize the effects of technical artifacts, particularly motion artifacts, on knee MRI images. This utilized computer vision techniques like grayscale conversion, edge detection, and morphological transformation. MRI knee images containing motion artifacts were used as input. For the output of the program, it was the enhanced versions of the images displayed against their corresponding original versions. Moreover, Python was the platform used in developing the program.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"120 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126311468","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}
Jazzlin Maye D. Bilang, Patricia Anne Alexis L. Balbuena, J. Villaverde
{"title":"Cactaceae Detection Using MobileNet Architecture","authors":"Jazzlin Maye D. Bilang, Patricia Anne Alexis L. Balbuena, J. Villaverde","doi":"10.1109/HNICEM54116.2021.9731868","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731868","url":null,"abstract":"Convolutional Neural Networks and image processing work well together. Image processing nowadays is a big topic in the world of technology because of its wide applications. The CNN algorithm has a lot of advantages dealing with image processing like efficiency and accuracy. Using CNN and MobileNet Architecture for this research, the output will be relative and effective and can be used for future studies. CNN uses layers, such as a convolutional, pooling, activation, and fully connected that filter the images for more accurate outputs. This research will produce an output in identifying a plant to further discuss the process and methods of using CNN and MobileNet Architecture in image processing.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130455017","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":"Acceptability, Usability, and Quality of a Personalized Daily Meal Plan Recommender System: The Case of Virtual Dietitian","authors":"Manuel B. Garcia, Joel B. Mangaba, C. C. Tanchoco","doi":"10.1109/HNICEM54116.2021.9732056","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9732056","url":null,"abstract":"Nutrition research is now entering the subfield of personalized nutrition, where dietetics professionals are using it as an approach to support individuals in formulating unique dietary interventions and guidelines. Despite a large number of meal recommender systems that endeavors to incorporate the concept of personalized nutrition, the existing artifacts remain preliminary in the nutritional health context largely due to lack of integrated nutrition knowledge. Hence, a nutrition system called Virtual Dietitian (VD) was developed and grounded on the Nutrition Care Process and Model. Unfortunately, the beta evaluation (Phase 1) revealed some vital modifications that are needed to accomplish as per the feedback from experts. Hence, another sprint of development was achieved to comply with the requirements set forth by experts. This study reports the alpha evaluation (Phase 2) of 397 non-expert users on the revised VD on three factors: acceptability, usability, and quality. Using the scores from these factors, statistical analyses were performed to determine if there were significant differences between these scores and variables linked to users’ profile. Results show that VD passed on all factors, and there were significant differences between the scores and users’ profile (living condition, current physical activity, nutritional status, monthly household income, and average daily meals). Several recommendations were still offered on how to move beyond the existing features of VD and with considerations to relevant modern technologies.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123132788","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}
Niño E. Merencilla, Estrelita T. Manansala, Eyriel Czar Balingit, Jan Bryce B. Crisostomo, John Carlo R. Montano, Hermogenes L. Quinzon
{"title":"Smart Stick for the Visually Impaired Person","authors":"Niño E. Merencilla, Estrelita T. Manansala, Eyriel Czar Balingit, Jan Bryce B. Crisostomo, John Carlo R. Montano, Hermogenes L. Quinzon","doi":"10.1109/HNICEM54116.2021.9731834","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731834","url":null,"abstract":"Blindness is an impairment in which the patient requires constant assistance with even the most basic of everyday tasks particularly in travelling alone without occurring accident. The project was designed to improve the level of independence of a visually impaired individual in travelling, utilizing the Smart Stick for the Visually Impaired Person will help them travel in flat and rugged terrain with high level of confidence as not to have accidents or injuries. The smart stick provides an obstacle detector and a speech synthesizer mechanism to guide the individual to certain obstacle and a change in the terrain elevation, it also helps the individual to locate the smart stick easily if they accidentally dropped or misplaced it, the device will create a sound through the buzz module. The following modules were also included; Obstacle detection, Terrain detection, Hand detection, Speech Synthesizer, and Sound module, all of which are connected to the Arduino Nano microcontroller. The prototype was tested considering all modules as mentioned above, having a 95 to 100 percent success rate for 20 testing trials in every module of the system. The study had presented an alternative way for the visually impaired individual to travel safely. The researcher recommended for future enhancement of the device to be paired with smart phones or an application based-GPS for tracking and monitoring.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120954174","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}
A. Fernando, R. R. Vicerra, L. G. Lim, A. Maglaya, Nadine Ledesma, Jeremias A. Gonzaga
{"title":"Determination of a Tomato Growth in a Plant Chamber using Neural Network","authors":"A. Fernando, R. R. Vicerra, L. G. Lim, A. Maglaya, Nadine Ledesma, Jeremias A. Gonzaga","doi":"10.1109/HNICEM54116.2021.9731903","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731903","url":null,"abstract":"This paper presents the use of artificial neural network in determining the tomato growth in a plant chamber. The input parameter that was used, gathered, and analyzed were temperature, carbon dioxide, relative humidity in a period of 9 weeks. The data parameters were used in the development of the ANN model to determine the tomato plant growth. The prediction of plant growth will help in producing quality crops by identifying the desirable input parameters. A total of 2736 data sets were used 70% for training and 30% were split for validation and testing. Results shows that a forward feed neural network with 10 layers and hidden neuron gives the best result. The researchers were able to develop an ANN model that predict the tomato growth leafing stage in a plant chamber.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128874051","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}
Via Dominique G. Balcita, Althea Tiffanie A. Bejar, Thomas Peter P. Goy, R. Billones, E. Dadios
{"title":"Optimizing the Allocation of Renewable Energy Generation and Energy Consumption of Power Plants in the Philippines using Linear Programming","authors":"Via Dominique G. Balcita, Althea Tiffanie A. Bejar, Thomas Peter P. Goy, R. Billones, E. Dadios","doi":"10.1109/HNICEM54116.2021.9732024","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9732024","url":null,"abstract":"The Philippines has consumed over 108,000 and 101,000 GWh of energy in the years 2019 and 2020, respectively. These consumed energy is generated by different providers such as the Manila electric, Visayan electric, and Negros Occidental electric cooperative which mainly provides for the residential, commercial, and industrial sectors. Moreover, the country utilizes four main energy generation types namely, coal, oil-based, natural gas, and renewable energy. As reported in the Department of Energy’s 2020 Power Statistics Report, figures show that the recent COVID-19 pandemic resulted in an increase in generated energy for the household sector. Inversely, the generated energy for commercial and industrial sectors dropped. This is due to the lockdown urging people to have a work or study from home set-up rather than face to face. With this shift in energy distribution may come cases of incorrectly measured power consumption that increases electricity bills of each sector and the companies involved. Therefore, this study aims to apply linear programming to optimize the allocation of energy generation and consumption of power plants in the country. The results of the program will then be compared to the results from and several mathematical models, such as the Gauss-Jordan, M-Method, and Two-Phase Methods to verify its results.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"49 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131230759","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}
D. Noelle Marie, Espiritu, Via Dominique G. Balcita, Thomas Peter P. Goy, Enrique Mariano S. Perez, R. Baldovino, Francisco Emmanuel T. Munsayac, N. Bugtai
{"title":"A 2021 Review on Recent Advancements in Robotic-assisted Minimally Invasive Surgery: The Philippines Perspective","authors":"D. Noelle Marie, Espiritu, Via Dominique G. Balcita, Thomas Peter P. Goy, Enrique Mariano S. Perez, R. Baldovino, Francisco Emmanuel T. Munsayac, N. Bugtai","doi":"10.1109/HNICEM54116.2021.9731947","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731947","url":null,"abstract":"This paper provides an overview of the recent advancements in robot-assisted minimally invasive surgery (RMIS) from the perspective of the Philippines. The rapid development of AI technology and assistive robots along with its integration into the healthcare industry will be discussed. A brief introduction of the evolution of conventional surgery into minimally invasive surgery and (RMIS) will be tackled. This is then followed by the robotic surgery standards. A number of existing robotic surgical platforms are then explored along with their background, features, and FDA approval status. Systems that will be focused on are the Senhance Surgical Robotic System, Symani Surgical System, and the Hugo RAS System. Current trends in surgical systems would also be tackled to highlight features and techniques that seem to work the best with every advancement in robotic surgery. Trends such as soft robotics, sensors, computer vision and augmented reality, autonomy, training and techniques will be focused on. The paper concludes by discussing the more evident integration of RMIS in surgery operations. In addition, trends addressing the shortcomings of RMIS to provide an overall greater experience is mentioned. Lastly, more studies are being made to further improve and provide ease of control on the side of the surgeon during operations.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133908379","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":"EC Health Medical Clinic and Diagnostic Center Appointment System","authors":"Jayson James M. Mayor","doi":"10.1109/HNICEM54116.2021.9731815","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731815","url":null,"abstract":"Online appointment systems are prevalent currently either online or using traditional queuing systems. Several businesses like hospitals use different online appointment systems for their patients which make appointments process more efficient, thereby minimizing patient’s waiting time and maximizing the total number of patients served. This paper presents the application of online patient appointment system that allows patient, staffs and physician to simply gain access to the system by connecting to the internet. All out enumeration of the respondents was subject for the assessment of the prototype using the ISO 9126. The data were assembled and classified to demonstrate the means that was used to determine the performance and acceptability of the system. The total weighted mean for User Acceptance Test (UAT) is 4.10 with the verbal interpretation of “Agree”. The clinic is satisfied and much willing to accept the implementation of the developed system.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130928947","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}
Danielle M. Dumaliang, John Moises Q. Rigor, Ramon G. Garcia, J. Villaverde, J. R. Cunado
{"title":"Coin Identification and Conversion System using Image Processing","authors":"Danielle M. Dumaliang, John Moises Q. Rigor, Ramon G. Garcia, J. Villaverde, J. R. Cunado","doi":"10.1109/HNICEM54116.2021.9732002","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9732002","url":null,"abstract":"Different features and template designs of currencies give travellers a hard time identifying and recognizing a coin; that is why a device to locate and recognize a coin is a must. Four currencies were used in the study. The researchers applied the YOLOv3 and CNN to create the system. Identification and recognition of coins is challenging with their many orientations and widely changing patterns. To resolve the problem, the researchers obtained the optimal distance of the camera to the coin and tested different angles of rotation. It was found out that a 6-cm distance from the camera to the coin is best for easy coin identification. The system’s accuracy are 98.15%, 98.15%, 97.22%, and 96.30% for 0-, 90-, 180-, and 270-degree angles, respectively.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132425488","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":"Towards the Development of Pneumatically Actuated Soft Robotic Hand","authors":"Mark Joseph B. Enojas","doi":"10.1109/HNICEM54116.2021.9731875","DOIUrl":"https://doi.org/10.1109/HNICEM54116.2021.9731875","url":null,"abstract":"Several models have been developed for rehabilitation and mimicking of human hands for prosthesis. There are different designs and structures that have been modeled and implemented. Soft robotics has taken its toll on many applications in the biomedical field. However, there is still ongoing research in modeling anthropomorphic designs. This paper presents a preliminary work on a method of modeling a pneumatically actuated soft robotic hand which uses finite element analysis with simplicity of homogenous silicone material. The model presented has been fabricated and characterized in order to obtain a response that could mimic the bending of the human hand. A simple PID controller was used to control the air pressure applied in each joint for the evaluation. A vision system was set up to track the node coordinates of the soft pneumatic bending actuator (sPBA) finger. The kinematic equations of a hyper-redundant structure were used to estimate the bending angle of each joint. The results show that comparing the bending angle characteristic of the actual prototype and the FEM has an average error performance of 28.9° or 32.67% at joint 2 and 29.9° or 23.64% at joint 3. In terms of air pressure difference, 47 kPa or 34.07% is achieved in joint 2, and 33 kPa or 24% at joint 3 were achieved. Although these differences exist, the model was still able to achieve bending approximately 90° at each joint which can be useful for the development of a soft robotic hand.","PeriodicalId":129868,"journal":{"name":"2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114900184","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}