Pub Date : 2020-09-07DOI: 10.1109/ICST50505.2020.9732868
Nervy Meilin Siagian, A. Jamil, Sofian Lusa, P. Prima, D. I. Sensuse
As a government institution, XYZ hospital is currently trying to transform its service to improve patient satisfaction by implementing a Hospital Information System. After being implemented in a year, there are many complaints related to the new system. This study is intended to find out factors influencing user satisfaction and net benefit perceived by users at XYZ hospital by using Delone McLean IS Success model. To collect the required data, a set of questionnaires was developed according to the model. Partial Least Square-Structural Equation Model (PLS-SEM) was used to test the research model with SmartPLS 3.0 software. The result of this study with 73 respondents shows that system use, user satisfaction, and organizational factors influence net benefit, while information quality, system quality, and service quality has a significant effect on system use, but only information quality and system use has a significant effect on user satisfaction.
作为一家政府机构，XYZ医院目前正试图通过实施医院信息系统来改变其服务，以提高患者满意度。新制度实施一年后，出现了很多与之相关的投诉。本研究旨在运用Delone McLean is Success模型，探讨影响XYZ医院用户满意度及净效益感知的因素。为了收集所需的数据，根据模型开发了一套问卷。采用偏最小二乘结构方程模型(PLS-SEM)，利用SmartPLS 3.0软件对研究模型进行检验。对73名受访者的研究结果表明，系统使用、用户满意度和组织因素影响净效益，而信息质量、系统质量和服务质量对系统使用有显著影响，但只有信息质量和系统使用对用户满意度有显著影响。
{"title":"Determinant Factors of Hospital Information System (HIS) Success at XYZ Hospital Using Delone McLean IS Success Model","authors":"Nervy Meilin Siagian, A. Jamil, Sofian Lusa, P. Prima, D. I. Sensuse","doi":"10.1109/ICST50505.2020.9732868","DOIUrl":"https://doi.org/10.1109/ICST50505.2020.9732868","url":null,"abstract":"As a government institution, XYZ hospital is currently trying to transform its service to improve patient satisfaction by implementing a Hospital Information System. After being implemented in a year, there are many complaints related to the new system. This study is intended to find out factors influencing user satisfaction and net benefit perceived by users at XYZ hospital by using Delone McLean IS Success model. To collect the required data, a set of questionnaires was developed according to the model. Partial Least Square-Structural Equation Model (PLS-SEM) was used to test the research model with SmartPLS 3.0 software. The result of this study with 73 respondents shows that system use, user satisfaction, and organizational factors influence net benefit, while information quality, system quality, and service quality has a significant effect on system use, but only information quality and system use has a significant effect on user satisfaction.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126624882","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 : 2020-09-07DOI: 10.1109/ICST50505.2020.9732776
A. N. Hakim, Hudoro Tahdi, Faishol Luthfy Mahendra
Liquid rocket engine commonly uses a throttling system to control thrust in various condition depending on its mission. In this study, a simple throttling system has been conducted to the liquid rocket engine ECX1000H2-4 using on-off valves in order to prevent an explosion at the beginning of ignition due to excessive accumulation of unburned propellants and to understand the affected phenomenon of the combustion process. The throttling system uses 2 valves for fuel flow and 2 valves for oxidizer flow and has been tested in the firing test. The test results show that the slight explosion in the starting process of combustion can be suppressed. However, at the first step of throttling, the combustion chugged at approximately 33 Hz, which is growing from low amplitude to higher amplitude ranged between 14 to 23 bar.
{"title":"Implementation of Simple Throttling for Liquid Rocket Engine ECX1000H2-4","authors":"A. N. Hakim, Hudoro Tahdi, Faishol Luthfy Mahendra","doi":"10.1109/ICST50505.2020.9732776","DOIUrl":"https://doi.org/10.1109/ICST50505.2020.9732776","url":null,"abstract":"Liquid rocket engine commonly uses a throttling system to control thrust in various condition depending on its mission. In this study, a simple throttling system has been conducted to the liquid rocket engine ECX1000H2-4 using on-off valves in order to prevent an explosion at the beginning of ignition due to excessive accumulation of unburned propellants and to understand the affected phenomenon of the combustion process. The throttling system uses 2 valves for fuel flow and 2 valves for oxidizer flow and has been tested in the firing test. The test results show that the slight explosion in the starting process of combustion can be suppressed. However, at the first step of throttling, the combustion chugged at approximately 33 Hz, which is growing from low amplitude to higher amplitude ranged between 14 to 23 bar.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126917842","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 : 2020-09-07DOI: 10.1109/ICST50505.2020.9732888
Engelbert Harsandi Erik Suryadarma, T. J. Ai, P. Anggoro
The cooling system is vital for the die casting process. The problematic cooling system will make the process of solidification uncontrolled. So that maintenance (especially predictive maintenance) is needed to keep the cooling system in good condition. However, the application of predictive maintenance requires complex resources. This research will simplify the predictive maintenance procedure on the cooling system in the casting process by reducing the number of sensors and calculations. This research uses SCADA technology and Machine Learning to keep getting accurate predictions. Based on the test results, the level of complexity of the proposed predictive maintenance system is more straightforward than before the value analysis was carried out, but has an accuracy level equivalent to before the value analysis applied.
{"title":"Value Analysis of Predictive Maintenance in Cooling System of a Die Casting Process by Data SCADA","authors":"Engelbert Harsandi Erik Suryadarma, T. J. Ai, P. Anggoro","doi":"10.1109/ICST50505.2020.9732888","DOIUrl":"https://doi.org/10.1109/ICST50505.2020.9732888","url":null,"abstract":"The cooling system is vital for the die casting process. The problematic cooling system will make the process of solidification uncontrolled. So that maintenance (especially predictive maintenance) is needed to keep the cooling system in good condition. However, the application of predictive maintenance requires complex resources. This research will simplify the predictive maintenance procedure on the cooling system in the casting process by reducing the number of sensors and calculations. This research uses SCADA technology and Machine Learning to keep getting accurate predictions. Based on the test results, the level of complexity of the proposed predictive maintenance system is more straightforward than before the value analysis was carried out, but has an accuracy level equivalent to before the value analysis applied.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128145579","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 : 2020-09-07DOI: 10.1109/ICST50505.2020.9732857
Anggrai Saputro, N. Khuriyati, A. Suyantohadi
The purpose of this study was to determine the relationship between the quality of chili powder with the color elements of the image and develop Artificial Neural Networks (ANN) architecture for the chili powder classification process. The chili (Capsicum annuum L.) powder samples were divided into three groups, namely 90 samples for training, 30 samples for validation, and 15 samples for testing. The images of chili powder were captured by using a webcam camera. Subsequently, the images were processed by using digital image processing to obtain the color and texture features for ANN input. The results showed that the elements of image colors used in the classification of chili powder quality were a, green, red, and hue had a very strong relationship. The ANN architecture used had three layers, namely the input layer comprised of 4 neurons (a, green, red, and hue), the hidden layer comprised of 8 neurons, and the output layer comprised of 2 neurons in the form of chili powder quality class with an accuracy of 93.33 %.
{"title":"The classification of chili (Capsicum annuum L.) powder quality by using image processing and artificial neural networks","authors":"Anggrai Saputro, N. Khuriyati, A. Suyantohadi","doi":"10.1109/ICST50505.2020.9732857","DOIUrl":"https://doi.org/10.1109/ICST50505.2020.9732857","url":null,"abstract":"The purpose of this study was to determine the relationship between the quality of chili powder with the color elements of the image and develop Artificial Neural Networks (ANN) architecture for the chili powder classification process. The chili (Capsicum annuum L.) powder samples were divided into three groups, namely 90 samples for training, 30 samples for validation, and 15 samples for testing. The images of chili powder were captured by using a webcam camera. Subsequently, the images were processed by using digital image processing to obtain the color and texture features for ANN input. The results showed that the elements of image colors used in the classification of chili powder quality were a, green, red, and hue had a very strong relationship. The ANN architecture used had three layers, namely the input layer comprised of 4 neurons (a, green, red, and hue), the hidden layer comprised of 8 neurons, and the output layer comprised of 2 neurons in the form of chili powder quality class with an accuracy of 93.33 %.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122599824","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 : 2020-09-07DOI: 10.1109/ICST50505.2020.9732812
A. P. P. Perwira Redi, Rahmad Inca Liperda, B. M. Sopha, Anna Maria Sri Asih, Nandini N. Sekaringtyas, Handina B. Astiana
This study considers the two-echelon vehicle routing problem using drones in the postdisaster situation. The problem takes into account using a collaboration between a drone with a ground vehicle to conduct an information gathering so-called mapping operation. Each ground vehicle is associated with a drone. The first echelon depicts the routes travelled from depot to stopover point and from a stopover point to another stopover point. The first echelon is travelled by a ground vehicle to extend the limitation of drone's range coverage to gather information. The second echelon is the assignment of the drone to the target point. A target point is an area being mapped or in this case that is affected by the disaster. The problem is modelled as an integer linear programming problem denoted as 2EVRP-MOD. It is assumed that drone can only be released from a stopover point. The mapping operation is associated with the amount of area being covered at each target area. The objective is to minimize the total mapping operation time. The entire mapping operation time is limited by the drone flying capacity limit. The model is tested on a real-case dataset in Bekasi, Indonesia. The computational results show that the model can effectively provide a solution for the 2EVRP-MOD.
{"title":"Relief Mapping Assessment using Two-Echelon Vehicle Routing Problem with Drone","authors":"A. P. P. Perwira Redi, Rahmad Inca Liperda, B. M. Sopha, Anna Maria Sri Asih, Nandini N. Sekaringtyas, Handina B. Astiana","doi":"10.1109/ICST50505.2020.9732812","DOIUrl":"https://doi.org/10.1109/ICST50505.2020.9732812","url":null,"abstract":"This study considers the two-echelon vehicle routing problem using drones in the postdisaster situation. The problem takes into account using a collaboration between a drone with a ground vehicle to conduct an information gathering so-called mapping operation. Each ground vehicle is associated with a drone. The first echelon depicts the routes travelled from depot to stopover point and from a stopover point to another stopover point. The first echelon is travelled by a ground vehicle to extend the limitation of drone's range coverage to gather information. The second echelon is the assignment of the drone to the target point. A target point is an area being mapped or in this case that is affected by the disaster. The problem is modelled as an integer linear programming problem denoted as 2EVRP-MOD. It is assumed that drone can only be released from a stopover point. The mapping operation is associated with the amount of area being covered at each target area. The objective is to minimize the total mapping operation time. The entire mapping operation time is limited by the drone flying capacity limit. The model is tested on a real-case dataset in Bekasi, Indonesia. The computational results show that the model can effectively provide a solution for the 2EVRP-MOD.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123544769","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 : 2020-09-07DOI: 10.1109/ICST50505.2020.9732873
Rahma Isnaini Masya, R. F. Aji, S. Yazid
In the current era, internet development has forced data confidentiality to become more crucial. There are several file types that frequently exchanged through the internet, such as text, image, video, audio, and so on. Image file is the most frequently misused by the irresponsible internet user, thus image security is highly important to conduct. Cryptography is a field of study to keep up the confidentiality of data distributed through networks. In this study, authors conduct image security using the classical cryptography algorithm, Vigenere Cipher, and Affine Cipher, and both Vigenere Cipher and Affine Cipher are implemented in Three-pass Protocol to avoid exchanging keys. It is impossible for the attacker to obtain the key since each sender and recipient keeps the key securely. The purpose of this study is to implement Vigenere Cipher and Affine Cipher in Three-pass Protocol and perform a comparison based on encryption result and execution time at each stage of the Three-pass Protocol. The results show that Affine Cipher in Three-pass Protocol performs encryption better than Vigenere Cipher in Three-pass Protocol in terms of its encryption results. However, in terms of execution time, Affine Cipher in Three-pass Protocol takes execution time longer than Vigenere Cipher in Three-pass Protocol.
{"title":"Comparison of Vigenere Cipher and Affine Cipher in Three-pass Protocol for Securing Image","authors":"Rahma Isnaini Masya, R. F. Aji, S. Yazid","doi":"10.1109/ICST50505.2020.9732873","DOIUrl":"https://doi.org/10.1109/ICST50505.2020.9732873","url":null,"abstract":"In the current era, internet development has forced data confidentiality to become more crucial. There are several file types that frequently exchanged through the internet, such as text, image, video, audio, and so on. Image file is the most frequently misused by the irresponsible internet user, thus image security is highly important to conduct. Cryptography is a field of study to keep up the confidentiality of data distributed through networks. In this study, authors conduct image security using the classical cryptography algorithm, Vigenere Cipher, and Affine Cipher, and both Vigenere Cipher and Affine Cipher are implemented in Three-pass Protocol to avoid exchanging keys. It is impossible for the attacker to obtain the key since each sender and recipient keeps the key securely. The purpose of this study is to implement Vigenere Cipher and Affine Cipher in Three-pass Protocol and perform a comparison based on encryption result and execution time at each stage of the Three-pass Protocol. The results show that Affine Cipher in Three-pass Protocol performs encryption better than Vigenere Cipher in Three-pass Protocol in terms of its encryption results. However, in terms of execution time, Affine Cipher in Three-pass Protocol takes execution time longer than Vigenere Cipher in Three-pass Protocol.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"17 46","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120841552","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 : 2020-09-07DOI: 10.1109/ICST50505.2020.9732811
Anton Purnawirawan, A. Wibawa, D. P. Wulandari
$P$-waves are a form of first wave development in ECG signals that have substantial atrial medical information. Analysing P-waves with manual inspection is difficult because P-waves are small, vary and have a noisy appearance. Automatic classification of P-waves to detect atrial abnormalities is necessary to assist clinicians with faster process. This paper presents a P-wave morphological analysis using a random forest classification from 134 patients. The algorithm defines the data into five classes, namely, Normal, Left Atrial enlargement (LAE), Right Atrial Enlargement (RAE), Biatrial Enlargement (BE) and Atrial Fibrillation (AFib). This study uses ECG Lead II data from 12 standard medical leads. Signal processing and denoising are applied by using two filters, a derivative and Butterworth filter. Feature extraction is explored by using a new local distance transform, which is more efficient than other similar methods. The features used are P-wave morphological attributes such as duration, amplitude, number of appearances, standard deviation, and symmetry. The overall accuracy of our approach was 94.77%, the specificity (SP) was 98%, while the sensitivity (Se) at 10-fold validating the training set was 930%. This result comparable to other best performing algorithms and might be considered a second opinion for cardiologists.
{"title":"Classification of P-wave Morphology Using New Local Distance Transform and Random Forests","authors":"Anton Purnawirawan, A. Wibawa, D. P. Wulandari","doi":"10.1109/ICST50505.2020.9732811","DOIUrl":"https://doi.org/10.1109/ICST50505.2020.9732811","url":null,"abstract":"$P$-waves are a form of first wave development in ECG signals that have substantial atrial medical information. Analysing P-waves with manual inspection is difficult because P-waves are small, vary and have a noisy appearance. Automatic classification of P-waves to detect atrial abnormalities is necessary to assist clinicians with faster process. This paper presents a P-wave morphological analysis using a random forest classification from 134 patients. The algorithm defines the data into five classes, namely, Normal, Left Atrial enlargement (LAE), Right Atrial Enlargement (RAE), Biatrial Enlargement (BE) and Atrial Fibrillation (AFib). This study uses ECG Lead II data from 12 standard medical leads. Signal processing and denoising are applied by using two filters, a derivative and Butterworth filter. Feature extraction is explored by using a new local distance transform, which is more efficient than other similar methods. The features used are P-wave morphological attributes such as duration, amplitude, number of appearances, standard deviation, and symmetry. The overall accuracy of our approach was 94.77%, the specificity (SP) was 98%, while the sensitivity (Se) at 10-fold validating the training set was 930%. This result comparable to other best performing algorithms and might be considered a second opinion for cardiologists.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"467 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133160009","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 : 2020-09-07DOI: 10.1109/ICST50505.2020.9732876
Artha Parela, M. Kamal
Monitoring the condition of mangrove forests is very important to support effective management and protect from forests degradation. One important biophysical aspect for assessing mangrove degradation is the fractional canopy cover (Fcover), which shows the percentage of the canopy cover over a specified ground area. The location of this research is Bedul Mangrove which is an ecotourism area located in Alas Purwo National Park, East Java, Indonesia. The aim of this study is to estimate and map the mangrove Fcover in the Bedul ecotourism area using Sentinel-2A imagery. A field survey was carried out to measure in-situ mangrove forest canopy using a hemispherical camera. Semi-empirical approach was used for Fcover modeling of Sentinel-2A image. A Soil Adjusted Vegetation Index (SAVI) image was used as a proxy for Fcover modelling from Sentinel-2A. Statistical analysis of correlation and regression was performed to determine the strength, shape, and direction of the relationship between the pairs of Fcover field values and the SAVI pixel values. The modeling result shows that the Fcover ranges from 0 to 0.91 (n: 24). Mangrove canopy cover in this location is dominated by dense canopy cover classes which indicate that the mangrove forest is in good condition.
{"title":"Estimation of Mangrove Fractional Canopy Cover using Sentinel-2A Imagery","authors":"Artha Parela, M. Kamal","doi":"10.1109/ICST50505.2020.9732876","DOIUrl":"https://doi.org/10.1109/ICST50505.2020.9732876","url":null,"abstract":"Monitoring the condition of mangrove forests is very important to support effective management and protect from forests degradation. One important biophysical aspect for assessing mangrove degradation is the fractional canopy cover (Fcover), which shows the percentage of the canopy cover over a specified ground area. The location of this research is Bedul Mangrove which is an ecotourism area located in Alas Purwo National Park, East Java, Indonesia. The aim of this study is to estimate and map the mangrove Fcover in the Bedul ecotourism area using Sentinel-2A imagery. A field survey was carried out to measure in-situ mangrove forest canopy using a hemispherical camera. Semi-empirical approach was used for Fcover modeling of Sentinel-2A image. A Soil Adjusted Vegetation Index (SAVI) image was used as a proxy for Fcover modelling from Sentinel-2A. Statistical analysis of correlation and regression was performed to determine the strength, shape, and direction of the relationship between the pairs of Fcover field values and the SAVI pixel values. The modeling result shows that the Fcover ranges from 0 to 0.91 (n: 24). Mangrove canopy cover in this location is dominated by dense canopy cover classes which indicate that the mangrove forest is in good condition.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124730181","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 : 2020-09-07DOI: 10.1109/ICST50505.2020.9732796
L. Setyana, Suyitno, M. Mahardika
The center of radius (CoR) of the lumbar spinal disc unit is usually thought to be below the center of the natural disc. The purpose of this research is to determine the appropriateness of CoR design toward wear rate, wear scars, and surface roughness of artificial lumbar disc model. The wear behaviors of a ball-on-socket (UHMWPE-on-Cp-Ti) artificial lumbar disc were studied under dynamic load (50–150 N) for 1 MC (million cycles). The wear test was done under lateral/bending, flexion/extension, and axial rotation motion for different CoR (7.5, 9, 11, and 13 mm). The wear rates and surface roughness were measured, while the wear scars were observed. The CoR affected the wear behaviors of the artificial lumbar disc. The wear rate of the Cp-Ti socket increases from $0.812pm 0.078$ to $2.524pm 0.119$ mm3/MC; on the other hand, the surface roughness decreases from $0.512 pm 0.039$ to $0.329pm$ 0.048 μm. Both changes happened along with the increase of CoR from 7.5 to 13 mm. The wear mechanisms of the Cp-Ti socket for different CoR were similar. The dominant wear mechanisms were plowing/scratching and abrasive wear. Hence, the CoR 11 mm is recommended to be applied for a lumbar disc implant.
{"title":"Wear Behaviors of Cp-Ti and UHMWPE Artificial Lumbar Disc Designed with Various Center of Radius","authors":"L. Setyana, Suyitno, M. Mahardika","doi":"10.1109/ICST50505.2020.9732796","DOIUrl":"https://doi.org/10.1109/ICST50505.2020.9732796","url":null,"abstract":"The center of radius (CoR) of the lumbar spinal disc unit is usually thought to be below the center of the natural disc. The purpose of this research is to determine the appropriateness of CoR design toward wear rate, wear scars, and surface roughness of artificial lumbar disc model. The wear behaviors of a ball-on-socket (UHMWPE-on-Cp-Ti) artificial lumbar disc were studied under dynamic load (50–150 N) for 1 MC (million cycles). The wear test was done under lateral/bending, flexion/extension, and axial rotation motion for different CoR (7.5, 9, 11, and 13 mm). The wear rates and surface roughness were measured, while the wear scars were observed. The CoR affected the wear behaviors of the artificial lumbar disc. The wear rate of the Cp-Ti socket increases from $0.812pm 0.078$ to $2.524pm 0.119$ mm3/MC; on the other hand, the surface roughness decreases from $0.512 pm 0.039$ to $0.329pm$ 0.048 μm. Both changes happened along with the increase of CoR from 7.5 to 13 mm. The wear mechanisms of the Cp-Ti socket for different CoR were similar. The dominant wear mechanisms were plowing/scratching and abrasive wear. Hence, the CoR 11 mm is recommended to be applied for a lumbar disc implant.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120850111","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 : 2020-09-07DOI: 10.1109/ICST50505.2020.9732778
A. Basith, Indah Restumi, Ratna Prastyani
The interaction of electromagnetic energy with the atmosphere causes the sensor to detect some of the elements found in the ozone layer such as ice crystals, dust, and clouds. Cirrus cloud in particular is often contaminating satellite imagery and yet relatively difficult to visually detect in visible spectrum. Indonesia as one of the tropical countries has highly cloud cover almost throughout the year. This condition causes land covers are contaminated by cirrus cloud which alters the digital numbers. The availability of cirrus band in Landsat 8 brings an advantage to eliminate cirrus clouds by performing cirrus cloud effect estimation and simple regression method. In this experiment, image-based cirrus correction was implemented in Landsat-8 over Palangkaraya city with high cirrus contamination. Cirrus cloud effect is estimated by using simple linear regression method involving samples or training area over homogeneous area cirrus contamination. Homogeneous areas were defined based on visual interpretation and statistical calculation. After estimating cirrus cloud effect on the pixel, cirrus cloud correction was performed by using arithmetic operations on images based on the slope regression coefficient which corresponded with the highest coefficient of determination. The quality of the corrected image was also statistically evaluated using reference image without cirrus contamination. Not only was the digital number evaluated but also Normalized Vegetation Index (NDVI) was compared in order to estimate the implication of cirrus correction in further image analysis.
{"title":"Cirrus Cloud Correction in Landsat 8 Image Using Combined Image-Based Approach and Various Classification Schemes","authors":"A. Basith, Indah Restumi, Ratna Prastyani","doi":"10.1109/ICST50505.2020.9732778","DOIUrl":"https://doi.org/10.1109/ICST50505.2020.9732778","url":null,"abstract":"The interaction of electromagnetic energy with the atmosphere causes the sensor to detect some of the elements found in the ozone layer such as ice crystals, dust, and clouds. Cirrus cloud in particular is often contaminating satellite imagery and yet relatively difficult to visually detect in visible spectrum. Indonesia as one of the tropical countries has highly cloud cover almost throughout the year. This condition causes land covers are contaminated by cirrus cloud which alters the digital numbers. The availability of cirrus band in Landsat 8 brings an advantage to eliminate cirrus clouds by performing cirrus cloud effect estimation and simple regression method. In this experiment, image-based cirrus correction was implemented in Landsat-8 over Palangkaraya city with high cirrus contamination. Cirrus cloud effect is estimated by using simple linear regression method involving samples or training area over homogeneous area cirrus contamination. Homogeneous areas were defined based on visual interpretation and statistical calculation. After estimating cirrus cloud effect on the pixel, cirrus cloud correction was performed by using arithmetic operations on images based on the slope regression coefficient which corresponded with the highest coefficient of determination. The quality of the corrected image was also statistically evaluated using reference image without cirrus contamination. Not only was the digital number evaluated but also Normalized Vegetation Index (NDVI) was compared in order to estimate the implication of cirrus correction in further image analysis.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129761238","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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