Pub Date : 2015-08-01DOI: 10.1109/QIR.2015.7374891
A. Munir, T. Praludi
The investigation of characteristics of narrowband hairpin bandpass filter (BPF) which is influenced by the number of its elements is presented. The proposed hairpin BPF which is designed to work at around frequency center of 3GHz is deployed on Rogers R4350 dielectric substrates with the thickness of 1.52mm. The number of filter elements for characterization is 3, 5 and 7 elements. Whilst the filter characteristics which will be investigated include the physical dimension, working bandwidth, return loss and insertion loss. From the characterization results, it shows that the dimension of hairpin BPF increases up to 120% for the filter with 3 elements to 7 elements. While the working bandwidth for hairpin BPF with 5 elements is 35% wider than of 3 elements. The most significant effect influenced by the number of filter elements is the shape of frequency responses in which the result demonstrates that the higher number of filter element sharpens the selectivity of frequency response.
{"title":"Characteristic of narrowband hairpin BPF as influence of number of its elements","authors":"A. Munir, T. Praludi","doi":"10.1109/QIR.2015.7374891","DOIUrl":"https://doi.org/10.1109/QIR.2015.7374891","url":null,"abstract":"The investigation of characteristics of narrowband hairpin bandpass filter (BPF) which is influenced by the number of its elements is presented. The proposed hairpin BPF which is designed to work at around frequency center of 3GHz is deployed on Rogers R4350 dielectric substrates with the thickness of 1.52mm. The number of filter elements for characterization is 3, 5 and 7 elements. Whilst the filter characteristics which will be investigated include the physical dimension, working bandwidth, return loss and insertion loss. From the characterization results, it shows that the dimension of hairpin BPF increases up to 120% for the filter with 3 elements to 7 elements. While the working bandwidth for hairpin BPF with 5 elements is 35% wider than of 3 elements. The most significant effect influenced by the number of filter elements is the shape of frequency responses in which the result demonstrates that the higher number of filter element sharpens the selectivity of frequency response.","PeriodicalId":127270,"journal":{"name":"2015 International Conference on Quality in Research (QiR)","volume":"348 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122333831","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 : 2015-08-01DOI: 10.1109/QIR.2015.7374910
R. Setiabudy, Hartono Bs, Budiyanto
On solar energy microgrid,during the islanding condition and no solar radiation, at night, it only use the battery as a source of energy. This condition raises another problem of how to manage battery operation of each generation to maintain the continuity of the power distribution to each load so that each generation is still able to distribute power without load shedding due to insufficient of energy supply from the battery or if load shedding is done, it must be done at the most minimum. To solve the aforementioned problem, energy management strategy to manage power sharing between PV generation in PV-microgrid is developed, which will manage the usage of back-up battery operation on each distributed generation in order to maintain the continuity of power distribution or to minimize the amount of load shedding, by using the zero one integer programming. The result of the research shown that implementation of the load shedding optimization mechanism using zero-one integer programming on the aforementioned problem, can increase the PDI (Power Distribution Index) from 86,65% to 95,75% at 5 generation simulation, with power sharing method based on Equal Inverter Output Power Operation Mode. Meanwhile, power sharing method based on Equal Battery Level Operation Mode, the implementation of load shedding optimization increases PDI from 95,86% to 99,20%.
{"title":"Development energy management strategy to optimize battery operation in islanding microgrid using zero one integer programming","authors":"R. Setiabudy, Hartono Bs, Budiyanto","doi":"10.1109/QIR.2015.7374910","DOIUrl":"https://doi.org/10.1109/QIR.2015.7374910","url":null,"abstract":"On solar energy microgrid,during the islanding condition and no solar radiation, at night, it only use the battery as a source of energy. This condition raises another problem of how to manage battery operation of each generation to maintain the continuity of the power distribution to each load so that each generation is still able to distribute power without load shedding due to insufficient of energy supply from the battery or if load shedding is done, it must be done at the most minimum. To solve the aforementioned problem, energy management strategy to manage power sharing between PV generation in PV-microgrid is developed, which will manage the usage of back-up battery operation on each distributed generation in order to maintain the continuity of power distribution or to minimize the amount of load shedding, by using the zero one integer programming. The result of the research shown that implementation of the load shedding optimization mechanism using zero-one integer programming on the aforementioned problem, can increase the PDI (Power Distribution Index) from 86,65% to 95,75% at 5 generation simulation, with power sharing method based on Equal Inverter Output Power Operation Mode. Meanwhile, power sharing method based on Equal Battery Level Operation Mode, the implementation of load shedding optimization increases PDI from 95,86% to 99,20%.","PeriodicalId":127270,"journal":{"name":"2015 International Conference on Quality in Research (QiR)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122558850","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 : 2015-08-01DOI: 10.1109/QIR.2015.7374908
F. Husnayain, M. Latif, I. Garniwa
In the power generation, transmission or distribution of electricity, transformer is one of the most valuable and important asset. The transformer reliability is very dependent on the quality of the insulation system. During the operational phase transformer, transformer oil will undergo degradation or deterioration due to high temperatures and chemical reactions that occur as oxidation. Aging in insulating oils would also affect its characteristics, such as physical and electrical properties, as well as lowering the lifetime of the insulation. This paper discusses the aging of insulation oil. Research on accelerated thermal aging was conducted to determine the behavior of insulating oil deterioration Nynas Nytro 10X and predict future use. Based on the Arrhenius law, if the temperature of transformer oil samples were operating normally in 60°C, the lifetime prediction of insulating oil will be 697.079 hours. Furthermore, the percentage decrease in the lifetime prediction isolation transformer IBT CBN S phase at normal loading conditions, the imposition of emergency at long time, as well as the emergency at short time in a row at 0.002032%, 0.047435% and 0.957268% of the rest period normal to the insulation of 5.5 years.
{"title":"Transformer oil lifetime prediction using the Arrhenius law based on physical and electrical characteristics","authors":"F. Husnayain, M. Latif, I. Garniwa","doi":"10.1109/QIR.2015.7374908","DOIUrl":"https://doi.org/10.1109/QIR.2015.7374908","url":null,"abstract":"In the power generation, transmission or distribution of electricity, transformer is one of the most valuable and important asset. The transformer reliability is very dependent on the quality of the insulation system. During the operational phase transformer, transformer oil will undergo degradation or deterioration due to high temperatures and chemical reactions that occur as oxidation. Aging in insulating oils would also affect its characteristics, such as physical and electrical properties, as well as lowering the lifetime of the insulation. This paper discusses the aging of insulation oil. Research on accelerated thermal aging was conducted to determine the behavior of insulating oil deterioration Nynas Nytro 10X and predict future use. Based on the Arrhenius law, if the temperature of transformer oil samples were operating normally in 60°C, the lifetime prediction of insulating oil will be 697.079 hours. Furthermore, the percentage decrease in the lifetime prediction isolation transformer IBT CBN S phase at normal loading conditions, the imposition of emergency at long time, as well as the emergency at short time in a row at 0.002032%, 0.047435% and 0.957268% of the rest period normal to the insulation of 5.5 years.","PeriodicalId":127270,"journal":{"name":"2015 International Conference on Quality in Research (QiR)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122089598","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 : 2015-08-01DOI: 10.1109/QIR.2015.7374903
Said Attamimi, Subiyanto, Mudrik Alaydrusa
Dual-band pass filters pass signals at two distinct frequency regions with a specified bandwidth. In this work a dual-band pass filter based on coupled open-loop rectangular resonators is designed. The microstrip filter is designed to pass signals at uplink and downlink frequencies of the 3G cellular networks, 1920 MHz and 2110 MHz respectively. The original design of the dual-band filter is the sixth order filter by shifting the feed positions so that the signals get two different paths due to the parallel circuit of the filter. The designed filter works at the first frequency at 1.91 GHz with a bandwidth of 90 MHz and reflection and insertion loss of 23.9 dB and 1.09 dB, respectively. The second frequency of the filter is located at 2.16 GHz with a bandwidth of 110 MHz and reflection and insertion loss of 17 dB and 1.24 dB, respectively. The measurement results verify the designed filter very well.
{"title":"Designing dual-band pass filter by coupled resonators","authors":"Said Attamimi, Subiyanto, Mudrik Alaydrusa","doi":"10.1109/QIR.2015.7374903","DOIUrl":"https://doi.org/10.1109/QIR.2015.7374903","url":null,"abstract":"Dual-band pass filters pass signals at two distinct frequency regions with a specified bandwidth. In this work a dual-band pass filter based on coupled open-loop rectangular resonators is designed. The microstrip filter is designed to pass signals at uplink and downlink frequencies of the 3G cellular networks, 1920 MHz and 2110 MHz respectively. The original design of the dual-band filter is the sixth order filter by shifting the feed positions so that the signals get two different paths due to the parallel circuit of the filter. The designed filter works at the first frequency at 1.91 GHz with a bandwidth of 90 MHz and reflection and insertion loss of 23.9 dB and 1.09 dB, respectively. The second frequency of the filter is located at 2.16 GHz with a bandwidth of 110 MHz and reflection and insertion loss of 17 dB and 1.24 dB, respectively. The measurement results verify the designed filter very well.","PeriodicalId":127270,"journal":{"name":"2015 International Conference on Quality in Research (QiR)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132232070","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 : 2015-08-01DOI: 10.1109/QIR.2015.7374894
T. Astuti, H. A. Nugroho, T. B. Adji
Hepatitis is a liver disease caused by hepatitis viruses. Nowadays, hepatitis is a global health problem, including in Indonesia. Chronic hepatitis can lead to cirrhosis and liver cancer, therefore early diagnosis is needed. Several research works on development of computer aided systems have been conducted to improve the diagnosis process of hepatitis disease. California Irvine (UCI) machine-learning repository provides hepatitis disease dataset which can be publicly accessed; however, the dataset contains many missing values. The existing of missing values in the dataset may affect the quality of the results analysis. Therefore, it needs to be conducted for handling the missing values. This paper analyses the performance of applying varied number of fold for cross validation of missing values imputation methods. The imputation method is combined with the feature selection method and machine-learning algorithm on the hepatitis dataset. The results that varied fold in k-fold cross validation which applied in the imputation method does not reveal significant advantages.
{"title":"The impact of different fold for cross validation of missing values imputation method on hepatitis dataset","authors":"T. Astuti, H. A. Nugroho, T. B. Adji","doi":"10.1109/QIR.2015.7374894","DOIUrl":"https://doi.org/10.1109/QIR.2015.7374894","url":null,"abstract":"Hepatitis is a liver disease caused by hepatitis viruses. Nowadays, hepatitis is a global health problem, including in Indonesia. Chronic hepatitis can lead to cirrhosis and liver cancer, therefore early diagnosis is needed. Several research works on development of computer aided systems have been conducted to improve the diagnosis process of hepatitis disease. California Irvine (UCI) machine-learning repository provides hepatitis disease dataset which can be publicly accessed; however, the dataset contains many missing values. The existing of missing values in the dataset may affect the quality of the results analysis. Therefore, it needs to be conducted for handling the missing values. This paper analyses the performance of applying varied number of fold for cross validation of missing values imputation methods. The imputation method is combined with the feature selection method and machine-learning algorithm on the hepatitis dataset. The results that varied fold in k-fold cross validation which applied in the imputation method does not reveal significant advantages.","PeriodicalId":127270,"journal":{"name":"2015 International Conference on Quality in Research (QiR)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114252634","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 : 2015-08-01DOI: 10.1109/QIR.2015.7374895
Bisyron Wahyudi Masduki, K. Ramli, Ferry Astika Saputra, D. Sugiarto
Many computer-based devices are now connected to the internet technology. These devices are widely used to manage critical infrastructure such energy, aviation, mining, banking and transportation. The strategic value of the data and the information transmitted over the Internet infrastructure has a very high economic value. With the increasing value of the data and the information, the higher the threats and attacks on such data and information. Statistical data shows a significant increase in threats to cyber security. The Government is aware of the threats to cyber security and respond to cyber security system that can perform early detection of threats and attacks the internet. The success of a nation's cyber security system depends on the extent to which it is able to produce independently their cyber defense system. Independence is manifested in the form of the ability to process, analyze and create an action to prevent threats or attacks originating from within and outside the country. One of the systems can be developed independently is Intrusion Detection System (IDS) which is very useful for early detection of cyber threats and attacks. The advantages of an IDS is determined by its ability to detect cyber attacks with little false. This study learn how to implement a combination of various methods of machine-learning to the IDS to improve the accuracy in detecting attacks. This study is expected to produce a prototype IDS. This prototype IDS, will be equipped with a combination of machine-learning methods to improve the accuracy in detecting various attacks. The addition of machine-learning feature is expected to identify the specific characteristics of the attacks occurred in the Indonesian Internet network. Novel methods used and techniques in implementation and the national strategic value are becoming the unique value and advantages of this research.
{"title":"Study on implementation of machine learning methods combination for improving attacks detection accuracy on Intrusion Detection System (IDS)","authors":"Bisyron Wahyudi Masduki, K. Ramli, Ferry Astika Saputra, D. Sugiarto","doi":"10.1109/QIR.2015.7374895","DOIUrl":"https://doi.org/10.1109/QIR.2015.7374895","url":null,"abstract":"Many computer-based devices are now connected to the internet technology. These devices are widely used to manage critical infrastructure such energy, aviation, mining, banking and transportation. The strategic value of the data and the information transmitted over the Internet infrastructure has a very high economic value. With the increasing value of the data and the information, the higher the threats and attacks on such data and information. Statistical data shows a significant increase in threats to cyber security. The Government is aware of the threats to cyber security and respond to cyber security system that can perform early detection of threats and attacks the internet. The success of a nation's cyber security system depends on the extent to which it is able to produce independently their cyber defense system. Independence is manifested in the form of the ability to process, analyze and create an action to prevent threats or attacks originating from within and outside the country. One of the systems can be developed independently is Intrusion Detection System (IDS) which is very useful for early detection of cyber threats and attacks. The advantages of an IDS is determined by its ability to detect cyber attacks with little false. This study learn how to implement a combination of various methods of machine-learning to the IDS to improve the accuracy in detecting attacks. This study is expected to produce a prototype IDS. This prototype IDS, will be equipped with a combination of machine-learning methods to improve the accuracy in detecting various attacks. The addition of machine-learning feature is expected to identify the specific characteristics of the attacks occurred in the Indonesian Internet network. Novel methods used and techniques in implementation and the national strategic value are becoming the unique value and advantages of this research.","PeriodicalId":127270,"journal":{"name":"2015 International Conference on Quality in Research (QiR)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131479853","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 : 2015-08-01DOI: 10.1109/QIR.2015.7374915
M. Asvial, A. A. S. Paramitha
In a long-haul optical fiber transmission system which uses a high power input and a long distance transmission, disturbances can occur during the propagation process. These disturbances can be categorized into linear and non-linear effects which are affected by the intensity dependence of fiber optic refractive index n. These effects are divided into several orders and analyzed separately since each of the orders has different effects. In this paper, dispersion which is part of the linear effect and some of the non linear effects are analyzed. More specifically, the main focus of this paper will be on the phenomena of pulse broadening, oscillation and spectral evolution that occur within a signal pulse. A novel approach which is based on the modeling of high order method in NLSE were proposed in this paper in order to detect and analyze those effects. This new scheme is based on the high order sequence of NLSE which will be used to classify the effects of the parameters. Furthermore, various chirping methods for each input pulse were also discussed to compare the chirped and unchirped pulses. Consequently, it was found that the chirping method affected the dispersion result due to the dependencies of high order parameter with respect to the chirping constants. Further analysis of the MATLAB results is also presented in this paper based on each output.
{"title":"Analysis of high order dispersion and non linear effects in fiber optic transmission with Non Linear Schrodinger Equation model","authors":"M. Asvial, A. A. S. Paramitha","doi":"10.1109/QIR.2015.7374915","DOIUrl":"https://doi.org/10.1109/QIR.2015.7374915","url":null,"abstract":"In a long-haul optical fiber transmission system which uses a high power input and a long distance transmission, disturbances can occur during the propagation process. These disturbances can be categorized into linear and non-linear effects which are affected by the intensity dependence of fiber optic refractive index n. These effects are divided into several orders and analyzed separately since each of the orders has different effects. In this paper, dispersion which is part of the linear effect and some of the non linear effects are analyzed. More specifically, the main focus of this paper will be on the phenomena of pulse broadening, oscillation and spectral evolution that occur within a signal pulse. A novel approach which is based on the modeling of high order method in NLSE were proposed in this paper in order to detect and analyze those effects. This new scheme is based on the high order sequence of NLSE which will be used to classify the effects of the parameters. Furthermore, various chirping methods for each input pulse were also discussed to compare the chirped and unchirped pulses. Consequently, it was found that the chirping method affected the dispersion result due to the dependencies of high order parameter with respect to the chirping constants. Further analysis of the MATLAB results is also presented in this paper based on each output.","PeriodicalId":127270,"journal":{"name":"2015 International Conference on Quality in Research (QiR)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114530333","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 : 2015-08-01DOI: 10.1109/QIR.2015.7374893
Puja Romulus, Yan Maraden, Prima Dewi Purnamasari, A. A. P. Ratna
This paper is intended to support the preservation of national cultural asset, particularly for ancient symbols. By using image processing principle, an automatic system that can be designed and implemented to translate ancient manuscript documents. The system is composed of several phases, from scanning, preprocessing, segmentation, feature extraction and classification. Sample images of the document are not scanned automatically, but manually produced as monochrome, black for the text and white for the background. These sample images are varied based on font size, rotation, and image size. The system is intended to be adaptable for various condition except for the color variation. The system is implemented as a MATLAB application program to convert an image that contains random Batak symbols into a series of Latin character representation of each word. The experiment results show that the system accuracy is ranged between 42% - 96% and the processing time is ranged from 1.9 - 34 seconds.
{"title":"An analysis of optical character recognition implementation for ancient Batak characters using K-nearest neighbors principle","authors":"Puja Romulus, Yan Maraden, Prima Dewi Purnamasari, A. A. P. Ratna","doi":"10.1109/QIR.2015.7374893","DOIUrl":"https://doi.org/10.1109/QIR.2015.7374893","url":null,"abstract":"This paper is intended to support the preservation of national cultural asset, particularly for ancient symbols. By using image processing principle, an automatic system that can be designed and implemented to translate ancient manuscript documents. The system is composed of several phases, from scanning, preprocessing, segmentation, feature extraction and classification. Sample images of the document are not scanned automatically, but manually produced as monochrome, black for the text and white for the background. These sample images are varied based on font size, rotation, and image size. The system is intended to be adaptable for various condition except for the color variation. The system is implemented as a MATLAB application program to convert an image that contains random Batak symbols into a series of Latin character representation of each word. The experiment results show that the system accuracy is ranged between 42% - 96% and the processing time is ranged from 1.9 - 34 seconds.","PeriodicalId":127270,"journal":{"name":"2015 International Conference on Quality in Research (QiR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123227481","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 : 2015-08-01DOI: 10.1109/QIR.2015.7374892
H. A. Nugroho, A. Nugroho, L. Choridah
Utilization of ultrasound imaging with various resolutions as modalities for thyroid nodules examination is growing rapidly. This is consistent with an increase in incidence of thyroid malignancy. Thyroid ultrasound examination is considered superior to other medical imaging modalities for its non-invasive, practical, inexpensive and painless. In the examination process, a radiologist expects areas of thyroid nodules that can be localized precisely from the surrounding normal tissue. Thus boundary of the nodules can be seen as to be regular or irregular. Boundary is one of the important features of malignancy that doctors use to make a diagnosis. Most malignant nodules have unclear and irregular boundaries. Imprecise segmentation result will lead to misdiagnosis based on boundary characteristics. Active contour segmentation technique is applied for detecting boundary of thyroid nodules and separating them with normal tissue iteratively. However, the characteristics of the ultrasound image that brings speckle noises make the segmentation process more complicated. It also resulted in interpretation errors and inaccuracies diagnosis made by a doctor. The intricacy of irregular nodule area can not easily be solved by changing the value of iteration on active contour. Therefore, speckle noise reduction method is needed to overcome this problem so that nodule area segmented properly. In this paper speckle noise reduction is done with bilateral filter. Comparison of image segmentation results of thyroid nodules with and without bilateral filter is attached at the end of this article. The combination of bilateral filter and active contour showed better results with the edge of the nodules firmly and clear.
{"title":"Thyroid nodule segmentation using active contour bilateral filtering on ultrasound images","authors":"H. A. Nugroho, A. Nugroho, L. Choridah","doi":"10.1109/QIR.2015.7374892","DOIUrl":"https://doi.org/10.1109/QIR.2015.7374892","url":null,"abstract":"Utilization of ultrasound imaging with various resolutions as modalities for thyroid nodules examination is growing rapidly. This is consistent with an increase in incidence of thyroid malignancy. Thyroid ultrasound examination is considered superior to other medical imaging modalities for its non-invasive, practical, inexpensive and painless. In the examination process, a radiologist expects areas of thyroid nodules that can be localized precisely from the surrounding normal tissue. Thus boundary of the nodules can be seen as to be regular or irregular. Boundary is one of the important features of malignancy that doctors use to make a diagnosis. Most malignant nodules have unclear and irregular boundaries. Imprecise segmentation result will lead to misdiagnosis based on boundary characteristics. Active contour segmentation technique is applied for detecting boundary of thyroid nodules and separating them with normal tissue iteratively. However, the characteristics of the ultrasound image that brings speckle noises make the segmentation process more complicated. It also resulted in interpretation errors and inaccuracies diagnosis made by a doctor. The intricacy of irregular nodule area can not easily be solved by changing the value of iteration on active contour. Therefore, speckle noise reduction method is needed to overcome this problem so that nodule area segmented properly. In this paper speckle noise reduction is done with bilateral filter. Comparison of image segmentation results of thyroid nodules with and without bilateral filter is attached at the end of this article. The combination of bilateral filter and active contour showed better results with the edge of the nodules firmly and clear.","PeriodicalId":127270,"journal":{"name":"2015 International Conference on Quality in Research (QiR)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122927738","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 : 2015-08-01DOI: 10.12777/transmisi.11.3.134-140
Isworo Pujotomo, R. Diantari
Coal-fired plant pollution is due to the release into the atmosphere of the hot flue gasses produced from the combustion of coal. Dust from power plants has been linked to cancers, while SO2 and NOx have both been identified as acid rain precursors. NOx has also been associated with the production of photochemical smog. Various pollutant control systems have been developed over the past several decades and are continually evolving. However, even with these systems in place, coal-fired plants still produce significant levels of emissions, and certainly carry this stigma with them.
{"title":"Dense medium cyclone technology to improve quality of coal","authors":"Isworo Pujotomo, R. Diantari","doi":"10.12777/transmisi.11.3.134-140","DOIUrl":"https://doi.org/10.12777/transmisi.11.3.134-140","url":null,"abstract":"Coal-fired plant pollution is due to the release into the atmosphere of the hot flue gasses produced from the combustion of coal. Dust from power plants has been linked to cancers, while SO2 and NOx have both been identified as acid rain precursors. NOx has also been associated with the production of photochemical smog. Various pollutant control systems have been developed over the past several decades and are continually evolving. However, even with these systems in place, coal-fired plants still produce significant levels of emissions, and certainly carry this stigma with them.","PeriodicalId":127270,"journal":{"name":"2015 International Conference on Quality in Research (QiR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128755019","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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