Pub Date : 2017-09-01DOI: 10.1109/KCIC.2017.8228601
Ikke Amalia Risky, T. Harsono, R. Sigit
People who died because of natural disaster, airplane crash or vehicle accident are hard to identified. There are many parameters that used by forensic doctor to identify victims corpes. Bone is one of parameters that used by doctors to identify victims age, it provide accurate result compared to other diagnoses. But, it takes a long time for the doctors to identify manually. From those problems, we tried to develop an automatic system which can identify victims age using middle finger bone. An active shape model segmentation method applied in this system to extract middle finger bone. There are six parts of middle finger bone that used to analize age, proximal epyphisis, proximal metaphysis, middle epyphysis, middle metaphysis, distal epyphysis, and distal metaphysis. We measured the length of each parts to be input in age classification using k-Nearest Neighbor method. By using this method, 85% from 73 different experimental data has been succeeded to identified. We believe this can bring benefit for the future of forensic identification.
{"title":"Middle finger bone assessment for age identification","authors":"Ikke Amalia Risky, T. Harsono, R. Sigit","doi":"10.1109/KCIC.2017.8228601","DOIUrl":"https://doi.org/10.1109/KCIC.2017.8228601","url":null,"abstract":"People who died because of natural disaster, airplane crash or vehicle accident are hard to identified. There are many parameters that used by forensic doctor to identify victims corpes. Bone is one of parameters that used by doctors to identify victims age, it provide accurate result compared to other diagnoses. But, it takes a long time for the doctors to identify manually. From those problems, we tried to develop an automatic system which can identify victims age using middle finger bone. An active shape model segmentation method applied in this system to extract middle finger bone. There are six parts of middle finger bone that used to analize age, proximal epyphisis, proximal metaphysis, middle epyphysis, middle metaphysis, distal epyphysis, and distal metaphysis. We measured the length of each parts to be input in age classification using k-Nearest Neighbor method. By using this method, 85% from 73 different experimental data has been succeeded to identified. We believe this can bring benefit for the future of forensic identification.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126844478","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 : 2017-09-01DOI: 10.1109/KCIC.2017.8228581
Novia Damayanti, D. Basuki, A. Barakbah, M. Huda
FloW is a humanoid robot that is being built and developed by ER2C (Eepis Robotic Research Center). FloW is made to have human-like capabilities and one of the abilities, the robot is able to communicate with humans. Therefore, we need to build speech processing system which consists four sub-systems. There are speech-to-text system, sentence understanding system, sentence generating system and text-to-speech system. This paper proposes how FloW can generate sentences to start and respond conversation. The output of this system is text that will be combined with text-to-speech system. So, the robot's answers are sound. We use template-based method which consists of word list process, templates and answers to start a conversation. While using the pattern-matching method which consists of answer rules, answer extraction and answers to respond a conversations. The experimental result shows generated sentences to start and respond conversations in closed-domain around the ER2C (Eepis Robotic Research Center) has reached 100%.
{"title":"Sentence generator system for humanoid robot interaction","authors":"Novia Damayanti, D. Basuki, A. Barakbah, M. Huda","doi":"10.1109/KCIC.2017.8228581","DOIUrl":"https://doi.org/10.1109/KCIC.2017.8228581","url":null,"abstract":"FloW is a humanoid robot that is being built and developed by ER2C (Eepis Robotic Research Center). FloW is made to have human-like capabilities and one of the abilities, the robot is able to communicate with humans. Therefore, we need to build speech processing system which consists four sub-systems. There are speech-to-text system, sentence understanding system, sentence generating system and text-to-speech system. This paper proposes how FloW can generate sentences to start and respond conversation. The output of this system is text that will be combined with text-to-speech system. So, the robot's answers are sound. We use template-based method which consists of word list process, templates and answers to start a conversation. While using the pattern-matching method which consists of answer rules, answer extraction and answers to respond a conversations. The experimental result shows generated sentences to start and respond conversations in closed-domain around the ER2C (Eepis Robotic Research Center) has reached 100%.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131007531","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 : 2017-09-01DOI: 10.1109/KCIC.2017.8228590
Inne Gartina Husein, B. Sitohang, Saiful Akbar
Ontology Matching is a process to find correspondences between semantically related entities of two ontologies. Most matching systems do evaluation by comparing the correspondences with reference alignment. Since 2010 another method has been used to measure a logic-based of correspondence or mapping, called incoherent mapping measurement. The more incoherent of the mapping the lower quality of mapping. Incoherent mapping repair will restore the incoherent to coherent condition in mapping, by removing unwanted mapping. The process of removing unwanted mapping to restore the coherent condition is called diagnosis process. Since mappings are very important sources to support data integration and exchange, then diagnosis should be done as minimal as possible. We propose two focuses minimal using global new technique to repair the incoherent mapping. This approach should (1) ensure minimal impact on the input alignment by minimizing the number of mapping removed; and (2) minimize the average of confidence values of the mapping removed. The next study about minimal diagnosis is finding the right method to implement the two focuses minimal with global new techniques in the real world.
{"title":"Diagnosis process with two focuses minimal in incoherent mapping repair","authors":"Inne Gartina Husein, B. Sitohang, Saiful Akbar","doi":"10.1109/KCIC.2017.8228590","DOIUrl":"https://doi.org/10.1109/KCIC.2017.8228590","url":null,"abstract":"Ontology Matching is a process to find correspondences between semantically related entities of two ontologies. Most matching systems do evaluation by comparing the correspondences with reference alignment. Since 2010 another method has been used to measure a logic-based of correspondence or mapping, called incoherent mapping measurement. The more incoherent of the mapping the lower quality of mapping. Incoherent mapping repair will restore the incoherent to coherent condition in mapping, by removing unwanted mapping. The process of removing unwanted mapping to restore the coherent condition is called diagnosis process. Since mappings are very important sources to support data integration and exchange, then diagnosis should be done as minimal as possible. We propose two focuses minimal using global new technique to repair the incoherent mapping. This approach should (1) ensure minimal impact on the input alignment by minimizing the number of mapping removed; and (2) minimize the average of confidence values of the mapping removed. The next study about minimal diagnosis is finding the right method to implement the two focuses minimal with global new techniques in the real world.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134515802","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 : 2017-09-01DOI: 10.1109/KCIC.2017.8228569
Retno Yuli Cristanti, R. Sigit, T. Harsono, Dyah Ceni Adelina, Anisah Nabilah, Novita Putri Anggraeni
For people with spoken and motoric disabilities, doing some basic daily activities will need some help from another people. Misunderstanding usually happen when people around them can not interpret their desire because of limit In this paper, an eye gaze tracking system will be built to operate the communication system. The processes which are used in this system, first the face and left eye area of user will be captured by camera on android device and the features will be detected by Haar Cascade. Second, from left eye's region, it will be looked for eye center position as user pointer's reference in interface menus using moments. User can choose the activity menu by closing their eye in time more than 250ms. The output of this system is an audio that represent activity menu. The system has percentage success rate of left gaze tracking is 80 %, straight gaze tracking is 90 %, and right gaze tracking is 80 %.
{"title":"Eye gaze tracking to operate android-based communication helper application","authors":"Retno Yuli Cristanti, R. Sigit, T. Harsono, Dyah Ceni Adelina, Anisah Nabilah, Novita Putri Anggraeni","doi":"10.1109/KCIC.2017.8228569","DOIUrl":"https://doi.org/10.1109/KCIC.2017.8228569","url":null,"abstract":"For people with spoken and motoric disabilities, doing some basic daily activities will need some help from another people. Misunderstanding usually happen when people around them can not interpret their desire because of limit In this paper, an eye gaze tracking system will be built to operate the communication system. The processes which are used in this system, first the face and left eye area of user will be captured by camera on android device and the features will be detected by Haar Cascade. Second, from left eye's region, it will be looked for eye center position as user pointer's reference in interface menus using moments. User can choose the activity menu by closing their eye in time more than 250ms. The output of this system is an audio that represent activity menu. The system has percentage success rate of left gaze tracking is 80 %, straight gaze tracking is 90 %, and right gaze tracking is 80 %.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130703396","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 : 2017-09-01DOI: 10.1109/KCIC.2017.8228565
M. A. Rasyid, I. Syarif, Ilham Akbar Hasbiya Putra
Linked data is a part of semantic web technology better known as web version 3. Semantic web has a very different concept with previous web version. With semantic web, data can be connected with a special relationship and form meaning. This is done semantic web using the concept of triples and data represented by graphs. The benefit of linked data is the ability to exchange data and provide related information. Air pollution is a problem of every country in the world. High levels of pollution will make health decline and mortality will increase. There are still many people who are less concerned about their environmental conditions. Although some sensors are already installed, but it is only give numbers only and the data come one source. To enrich air pollution information from various sources, this paper uses linked data concept and web semantic technology to extract the sensor data from aqicn.org and DBPedia. The results of experiment show that linked data technology can connect the environmental information from various sources more feasible and meaningful.
{"title":"Linked data for air pollution monitoring","authors":"M. A. Rasyid, I. Syarif, Ilham Akbar Hasbiya Putra","doi":"10.1109/KCIC.2017.8228565","DOIUrl":"https://doi.org/10.1109/KCIC.2017.8228565","url":null,"abstract":"Linked data is a part of semantic web technology better known as web version 3. Semantic web has a very different concept with previous web version. With semantic web, data can be connected with a special relationship and form meaning. This is done semantic web using the concept of triples and data represented by graphs. The benefit of linked data is the ability to exchange data and provide related information. Air pollution is a problem of every country in the world. High levels of pollution will make health decline and mortality will increase. There are still many people who are less concerned about their environmental conditions. Although some sensors are already installed, but it is only give numbers only and the data come one source. To enrich air pollution information from various sources, this paper uses linked data concept and web semantic technology to extract the sensor data from aqicn.org and DBPedia. The results of experiment show that linked data technology can connect the environmental information from various sources more feasible and meaningful.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114557802","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 : 2017-09-01DOI: 10.1109/KCIC.2017.8228599
Toru Kobayashi, Yuta Isono, Kenichi Arai, T. Yamauchi, Hidetoshi Kobayashi
The biomimetics to adopt a high-performance and high efficiency creature function for a new technology attracts attention. However, it is unknown which creature function helps the development of a new technology because the kinds of the creature are more than 1,500,000. Therefore, we propose an information retrieval system called Bio-TRIZ database by using TRIZ which attracts attention as a problem solution of the engineering. The Bio-TRIZ database is based on the Linked Data which contains not only engineering perspective data but also naturalist perspective data. Therefore, we can search the creature function by different approaches. We can expect technology transfer from nature to engineering to realize a sustainable lifestyle as spiritually rich society which does not depend on energy consumption by using the proposed system. We evaluated the proposed system through plural case studies. Then, we confirmed that our proposed system was effective at a viewpoint of the serendipity information retrieval for realizing sustainable lifestyle.
{"title":"Bio-TRIZ database for sustainable lifestyle technology transfer from nature to engineering","authors":"Toru Kobayashi, Yuta Isono, Kenichi Arai, T. Yamauchi, Hidetoshi Kobayashi","doi":"10.1109/KCIC.2017.8228599","DOIUrl":"https://doi.org/10.1109/KCIC.2017.8228599","url":null,"abstract":"The biomimetics to adopt a high-performance and high efficiency creature function for a new technology attracts attention. However, it is unknown which creature function helps the development of a new technology because the kinds of the creature are more than 1,500,000. Therefore, we propose an information retrieval system called Bio-TRIZ database by using TRIZ which attracts attention as a problem solution of the engineering. The Bio-TRIZ database is based on the Linked Data which contains not only engineering perspective data but also naturalist perspective data. Therefore, we can search the creature function by different approaches. We can expect technology transfer from nature to engineering to realize a sustainable lifestyle as spiritually rich society which does not depend on energy consumption by using the proposed system. We evaluated the proposed system through plural case studies. Then, we confirmed that our proposed system was effective at a viewpoint of the serendipity information retrieval for realizing sustainable lifestyle.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"277 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117114384","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 : 2017-09-01DOI: 10.1109/KCIC.2017.8228587
Nyimas Ariny Sabilarrusyda, A. Basuki, K. Fathoni
Uthman Ibn Affan is one of the Companion of the Prophet (Muhammad SAW) that have many services for Islam in his lifetime. Even though the society is less known about the Uthman Ibn Affan history. This is because too little information facility about the history. Especially, now the tendency of society is more like something that satisfying and interactive, for example is game. So in this paper, we propose the solution to handle the problem that had been explained before. The solution is new model to learn about history of Uthman Ibn Affan based on game. The gameplay of game application uses Monotone Chain Convex Hull algorithm to make game's gameplay sensed more interactive. In this game, player must draw an enclosed line for cover certain objects. The Monotone Chain Convex Hull algorithm purpose is to check the selected objects are proper with mission inside the game or not. This game is recommended for elementary age children, so this game's main target can learn about the history of Uthman Ibn Affan from early with satisfying method. Finally we experimented with trying to play game's gameplay that have implemented Monotone Chain Convex Hull algorithm in it. The result is the game's gameplay runs well with a short programming process. Then we test the game to some elementary age children and they give good rating for this game.
{"title":"Game mobile application history of Uthman Ibn Affan based on monotone chain convex hull algorithm","authors":"Nyimas Ariny Sabilarrusyda, A. Basuki, K. Fathoni","doi":"10.1109/KCIC.2017.8228587","DOIUrl":"https://doi.org/10.1109/KCIC.2017.8228587","url":null,"abstract":"Uthman Ibn Affan is one of the Companion of the Prophet (Muhammad SAW) that have many services for Islam in his lifetime. Even though the society is less known about the Uthman Ibn Affan history. This is because too little information facility about the history. Especially, now the tendency of society is more like something that satisfying and interactive, for example is game. So in this paper, we propose the solution to handle the problem that had been explained before. The solution is new model to learn about history of Uthman Ibn Affan based on game. The gameplay of game application uses Monotone Chain Convex Hull algorithm to make game's gameplay sensed more interactive. In this game, player must draw an enclosed line for cover certain objects. The Monotone Chain Convex Hull algorithm purpose is to check the selected objects are proper with mission inside the game or not. This game is recommended for elementary age children, so this game's main target can learn about the history of Uthman Ibn Affan from early with satisfying method. Finally we experimented with trying to play game's gameplay that have implemented Monotone Chain Convex Hull algorithm in it. The result is the game's gameplay runs well with a short programming process. Then we test the game to some elementary age children and they give good rating for this game.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127981634","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 : 2017-09-01DOI: 10.1109/KCIC.2017.8228598
M. Subhan, Amang Sudarsono, A. Barakbah
A radical definition according to procedural meanings is content that invites, provokes, performs certain acts, interprets jihad as a suicide bomb. And interpret the jihad is limited. In Indonesia, the radical content is often associated with content issues such Tribe, Religion, and Race. The classification of radical content is a challenging technical problem due to its large numbers, unstructured, and a lot of noise. The larger the amount of content it will produce more and more features. So that impact on the high dimensions and can lead to poor performance against the classification algorithm. How to solve the problem is dimensional reduction such as feature selection. In this study, we propose an approach to select features that are categorized radically and not radically using Human Brain and DF-Threshold. Prior to feature selection, preprocessing is performed, then text mining, then selection of features using Human Brain and DF-Threshold. Testing is done through 10-cross validation with k-Nearest Neighbor (k-NN) as its classification. Based on these trials we get the highest accuracy performance results of 66.37% with k on k-NN equal to 7.
{"title":"Preprocessing of radicalism dataset to predict radical content in Indonesia","authors":"M. Subhan, Amang Sudarsono, A. Barakbah","doi":"10.1109/KCIC.2017.8228598","DOIUrl":"https://doi.org/10.1109/KCIC.2017.8228598","url":null,"abstract":"A radical definition according to procedural meanings is content that invites, provokes, performs certain acts, interprets jihad as a suicide bomb. And interpret the jihad is limited. In Indonesia, the radical content is often associated with content issues such Tribe, Religion, and Race. The classification of radical content is a challenging technical problem due to its large numbers, unstructured, and a lot of noise. The larger the amount of content it will produce more and more features. So that impact on the high dimensions and can lead to poor performance against the classification algorithm. How to solve the problem is dimensional reduction such as feature selection. In this study, we propose an approach to select features that are categorized radically and not radically using Human Brain and DF-Threshold. Prior to feature selection, preprocessing is performed, then text mining, then selection of features using Human Brain and DF-Threshold. Testing is done through 10-cross validation with k-Nearest Neighbor (k-NN) as its classification. Based on these trials we get the highest accuracy performance results of 66.37% with k on k-NN equal to 7.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128716544","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 : 2017-09-01DOI: 10.1109/KCIC.2017.8228585
A. S. Shahab, D. Pramadihanto, S. Sukaridhoto, Adhe Widianjaya
Memory management evaluation test is one of the ways to understand the characteristic and performance of dynamic memory allocation algorithm. DMA is one of the RTOS parts that provide storage management when the applications are running. Nowadays there is a lot of memory management algorithm, and each algorithm has its own characteristics like the deterministic or nondeterministic algorithm. We develop a testing framework using Markov chain in order to test the allocation algorithm performance to fit the allocation behavior in RTOS. The framework generates various type of scenario test which can determine deterministic and nondeterministic of the algorithm based on the performance result. The result shows the impact of allocation size and allocation variation affect the allocation performance respond that generated by this framework.
{"title":"True random and adjustable memory management evaluation framework with Markov chain","authors":"A. S. Shahab, D. Pramadihanto, S. Sukaridhoto, Adhe Widianjaya","doi":"10.1109/KCIC.2017.8228585","DOIUrl":"https://doi.org/10.1109/KCIC.2017.8228585","url":null,"abstract":"Memory management evaluation test is one of the ways to understand the characteristic and performance of dynamic memory allocation algorithm. DMA is one of the RTOS parts that provide storage management when the applications are running. Nowadays there is a lot of memory management algorithm, and each algorithm has its own characteristics like the deterministic or nondeterministic algorithm. We develop a testing framework using Markov chain in order to test the allocation algorithm performance to fit the allocation behavior in RTOS. The framework generates various type of scenario test which can determine deterministic and nondeterministic of the algorithm based on the performance result. The result shows the impact of allocation size and allocation variation affect the allocation performance respond that generated by this framework.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"28 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120856674","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 : 2017-09-01DOI: 10.1109/KCIC.2017.8228568
Diyan Purwati, Akhmad Subhan Khalilullah, D. Pramadihanto
In this paper, we present an approach for detecting, recognizing and tracking varying number of objects through both have similarity shape and colors. The objects tracking is the varying notes of Indonesian traditional instrument called “gambang”. Our method build an idea how to recognize well the notes and classify each objects in real time tracking. The houghlines standard method is used to search the right lines of the shape of instrument. At the level of detecting object, the square and contours method is used. The real time tracking is based on the color of contour object using hsv color filter. We demonstrate the viability of this approach by experimenting on several videos of the instrument from different angle of view 2D camera. The instrument labeling testing with the camera view from the left side has 100% success, from the center side has 95% success, and from the right side has 90% success.
{"title":"Detecting and tracking of traditional instrument with different camera vision","authors":"Diyan Purwati, Akhmad Subhan Khalilullah, D. Pramadihanto","doi":"10.1109/KCIC.2017.8228568","DOIUrl":"https://doi.org/10.1109/KCIC.2017.8228568","url":null,"abstract":"In this paper, we present an approach for detecting, recognizing and tracking varying number of objects through both have similarity shape and colors. The objects tracking is the varying notes of Indonesian traditional instrument called “gambang”. Our method build an idea how to recognize well the notes and classify each objects in real time tracking. The houghlines standard method is used to search the right lines of the shape of instrument. At the level of detecting object, the square and contours method is used. The real time tracking is based on the color of contour object using hsv color filter. We demonstrate the viability of this approach by experimenting on several videos of the instrument from different angle of view 2D camera. The instrument labeling testing with the camera view from the left side has 100% success, from the center side has 95% success, and from the right side has 90% success.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124173142","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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