A crucial step of speaker independent isolated word recognition is to extract meaningful information from speech signal. Speech signal contain meaningful acoustic features and selecting the significant and optimal features set is an important aspect to improve accuracy. This paper proposes a speaker independent isolated word recognition model by selecting optimal number of significant features. The proposed model consists of feature extraction, statistical analysis of feature and feature selection technique. We use 13th dimension of Mel frequency cepstral coefficient (MFCC) to extract acoustic features of speech signal and after that apply statistical analysis, Analysis of Variance (ANOVA) and incremental feature selection (IFS) technique to investigate efficient features and to rank them accordingly. The objective of applying statistical analysis algorithm and feature selection technique on the cepstral feature is to improve the word recognition performance using significant features set. The experimental analysis is carried out using some machine learning techniques such as Artificial Neural Network (ANN), Support vector machine (SVM) and Naive Bayes (NB) classifier. Performance of each individual classifier has been evaluated and described in this paper. From the experimental analysis it has been observed that ANOVA with feature selection technique provide better result for all the classifier as compared to selecting all MFCC feature. The aim of the proposed method is to select minimum significant features set that can improve the recognition rate and reduce the dimension. Recognition accuracy has been achieved using our own recorded English digit database.
{"title":"Speaker Independent Isolated Word Recognition based on ANOVA and IFS","authors":"Saswati Debnath, Pinki Roy","doi":"10.1145/3177457.3191708","DOIUrl":"https://doi.org/10.1145/3177457.3191708","url":null,"abstract":"A crucial step of speaker independent isolated word recognition is to extract meaningful information from speech signal. Speech signal contain meaningful acoustic features and selecting the significant and optimal features set is an important aspect to improve accuracy. This paper proposes a speaker independent isolated word recognition model by selecting optimal number of significant features. The proposed model consists of feature extraction, statistical analysis of feature and feature selection technique. We use 13th dimension of Mel frequency cepstral coefficient (MFCC) to extract acoustic features of speech signal and after that apply statistical analysis, Analysis of Variance (ANOVA) and incremental feature selection (IFS) technique to investigate efficient features and to rank them accordingly. The objective of applying statistical analysis algorithm and feature selection technique on the cepstral feature is to improve the word recognition performance using significant features set. The experimental analysis is carried out using some machine learning techniques such as Artificial Neural Network (ANN), Support vector machine (SVM) and Naive Bayes (NB) classifier. Performance of each individual classifier has been evaluated and described in this paper. From the experimental analysis it has been observed that ANOVA with feature selection technique provide better result for all the classifier as compared to selecting all MFCC feature. The aim of the proposed method is to select minimum significant features set that can improve the recognition rate and reduce the dimension. Recognition accuracy has been achieved using our own recorded English digit database.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124933713","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}
To optimize the number of quay cranes in container terminals with twin-40-feet and common quay cranes, this paper first proposed an optimization model to minimize the total costs for container terminal operation. Then a queuing model for different berth throughout capacity is employed considering the characteristic of twin-40-feet quay crane operation and the random arrival of ships. And a quasi-birth-and death theory is introduced to obtain the values of system performance indicators. Finally, the proposed optimization model is applied in a container terminal, and the results prove the effectiveness and feasibility of this optimization model, which can provide a good reference for optimizing quay cranes planning.
{"title":"Optimal Number of Quay Cranes in Container Terminals with Twin-40-Feet Quay Cranes","authors":"Jingjing Yu, G. Tang, Da Li","doi":"10.1145/3177457.3177474","DOIUrl":"https://doi.org/10.1145/3177457.3177474","url":null,"abstract":"To optimize the number of quay cranes in container terminals with twin-40-feet and common quay cranes, this paper first proposed an optimization model to minimize the total costs for container terminal operation. Then a queuing model for different berth throughout capacity is employed considering the characteristic of twin-40-feet quay crane operation and the random arrival of ships. And a quasi-birth-and death theory is introduced to obtain the values of system performance indicators. Finally, the proposed optimization model is applied in a container terminal, and the results prove the effectiveness and feasibility of this optimization model, which can provide a good reference for optimizing quay cranes planning.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114993421","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}
Improving the quality of education continuously and sustainably is the task of the whole communities, but in particular the government can take over the policy on the important components by providing the best support and contribution in order to improve the quality of education and achieve the expected Information and Communication Technology (ICT) adoption goals. This study conducts user acceptance test of ICT adoption framework in schools to ensure actual system use. In this context, school is a potential user of the framework to be assessed for its acceptance of the framework by exploring acceptance characteristics such as performance expectancy, effort expectancy, social influence and facilitating conditions which mapped into perceived usefulness and perceived ease-of-use. This test also has a behavior analysis part by using Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) combination. This test is a research final phase in small scale representative sampling in order to strengthen future implementation plans. Involving about 60 schools to use the framework in the context of the preparation of adoption ICT in school. The result shows that average school responses revealed that the school administrators' lack of understanding identified needs and linked them to the intended objectives. It concludes that framework can be accepted with some suggestions.
{"title":"The User Acceptance Test of An \"ICT Adoption for Education\" Framework","authors":"S. Nurjanah, H. Santoso, Z. Hasibuan","doi":"10.1145/3177457.3177481","DOIUrl":"https://doi.org/10.1145/3177457.3177481","url":null,"abstract":"Improving the quality of education continuously and sustainably is the task of the whole communities, but in particular the government can take over the policy on the important components by providing the best support and contribution in order to improve the quality of education and achieve the expected Information and Communication Technology (ICT) adoption goals. This study conducts user acceptance test of ICT adoption framework in schools to ensure actual system use. In this context, school is a potential user of the framework to be assessed for its acceptance of the framework by exploring acceptance characteristics such as performance expectancy, effort expectancy, social influence and facilitating conditions which mapped into perceived usefulness and perceived ease-of-use. This test also has a behavior analysis part by using Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) combination. This test is a research final phase in small scale representative sampling in order to strengthen future implementation plans. Involving about 60 schools to use the framework in the context of the preparation of adoption ICT in school. The result shows that average school responses revealed that the school administrators' lack of understanding identified needs and linked them to the intended objectives. It concludes that framework can be accepted with some suggestions.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129727237","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}
Upper-room ultraviolet germicidal (UR-UVGI) fixture has been recommended as one of choices for preventing the transmission of the airborne pathogens in poor ventilated room. To theoretically predict the irradiance of multiple UR-UVGI fixtures is key importance for the practical evaluation of their disinfection efficiencies. In this study, a mathematical model based on the view factor approach from radiative heat transfer was developed to predict the irradiance of multiple UR-UVGI fixtures. In the model, the reflector and tedious fixture were simplified as a fictitious surface and the shading effect of the louvers was considered. The model was validated by the literature experiment case. It should be instrumental for the design of the UR-UVGI disinfection system.
{"title":"Mathematical Modeling the Irradiance of Multiple Upper-Room Ultraviolet Germicidal Fixtures for Airborne Pathogens Disinfection","authors":"Yi Yang","doi":"10.1145/3177457.3191705","DOIUrl":"https://doi.org/10.1145/3177457.3191705","url":null,"abstract":"Upper-room ultraviolet germicidal (UR-UVGI) fixture has been recommended as one of choices for preventing the transmission of the airborne pathogens in poor ventilated room. To theoretically predict the irradiance of multiple UR-UVGI fixtures is key importance for the practical evaluation of their disinfection efficiencies. In this study, a mathematical model based on the view factor approach from radiative heat transfer was developed to predict the irradiance of multiple UR-UVGI fixtures. In the model, the reflector and tedious fixture were simplified as a fictitious surface and the shading effect of the louvers was considered. The model was validated by the literature experiment case. It should be instrumental for the design of the UR-UVGI disinfection system.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127918627","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}
Dynamical system is a mathematical approach to model the non-linear dynamics of complex systems over space and time. A causality-informed genetic programming (GP) ensemble methodology has been proposed recently by the authors to automatically infer dynamical systems from system observations. The method adopts a variable decomposition approach relies on expert defined causal models. However, in practice these models are bound to have inconsistencies due to human involvement. Hence, in this paper we evaluate the sensitivity of the ensemble method to the accuracy of input causal models that are used as ground truth in the formation of the ensemble. This is done by varying the accuracy of known causal models through introducing deliberate noise in models' causal relationships. Three benchmark problems are used to evaluate the performance of the proposed methodology where the output of different ensembles is compared with a standard GP algorithm. The empirical results show the effectiveness of the proposed methodology in inferring closely matching target equations under different levels of noise and learning better models than the standard GP algorithm in most cases.
{"title":"Sensitivity Analysis of a Causality-Informed Genetic Programming Ensemble for Inferring Dynamical Systems","authors":"Hassan Abdelbari, Kamran Shafi","doi":"10.1145/3177457.3177472","DOIUrl":"https://doi.org/10.1145/3177457.3177472","url":null,"abstract":"Dynamical system is a mathematical approach to model the non-linear dynamics of complex systems over space and time. A causality-informed genetic programming (GP) ensemble methodology has been proposed recently by the authors to automatically infer dynamical systems from system observations. The method adopts a variable decomposition approach relies on expert defined causal models. However, in practice these models are bound to have inconsistencies due to human involvement. Hence, in this paper we evaluate the sensitivity of the ensemble method to the accuracy of input causal models that are used as ground truth in the formation of the ensemble. This is done by varying the accuracy of known causal models through introducing deliberate noise in models' causal relationships. Three benchmark problems are used to evaluate the performance of the proposed methodology where the output of different ensembles is compared with a standard GP algorithm. The empirical results show the effectiveness of the proposed methodology in inferring closely matching target equations under different levels of noise and learning better models than the standard GP algorithm in most cases.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114238098","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}
R. Martínek, R. Kahankova, P. Bilik, J. Nedoma, M. Fajkus, Petr Blaha
This paper introduces a program for objective and subjective evaluation of speech quality. Using this environment, a lot of speech recordings and various indoor and outdoor noises were processed. As a subjective speech evaluation method, the Dynamic time warping (DTW) method was selected, with PARCOR coefficients being chosen as symptom vectors. For the filtration of the noise in the recording, adaptive filtering based on LMS and RLS algorithms was used and the performance of the adaptive filtering was assessed. Similarity ranged from 70% to 95% for both algorithms. In terms of signal to noise ratio, the RLS algorithm ranged from 36 dB to 42 dB, while the LMS algorithm only varied from 20 dB to 29 dB.
本文介绍了一个语音质量的客观和主观评价程序。在这种环境下，对大量的语音录音和各种室内外噪声进行了处理。选择动态时间规整(DTW)方法作为主观语音评价方法，以PARCOR系数作为症状向量。对录音中的噪声进行滤波，采用了基于LMS和RLS算法的自适应滤波，并对自适应滤波的性能进行了评价。两种算法的相似度在70%到95%之间。在信噪比方面，RLS算法的范围为36 dB ~ 42 dB，而LMS算法的范围仅为20 dB ~ 29 dB。
{"title":"Speech Quality Assessment Based on Virtual Instrumentation","authors":"R. Martínek, R. Kahankova, P. Bilik, J. Nedoma, M. Fajkus, Petr Blaha","doi":"10.1145/3177457.3177459","DOIUrl":"https://doi.org/10.1145/3177457.3177459","url":null,"abstract":"This paper introduces a program for objective and subjective evaluation of speech quality. Using this environment, a lot of speech recordings and various indoor and outdoor noises were processed. As a subjective speech evaluation method, the Dynamic time warping (DTW) method was selected, with PARCOR coefficients being chosen as symptom vectors. For the filtration of the noise in the recording, adaptive filtering based on LMS and RLS algorithms was used and the performance of the adaptive filtering was assessed. Similarity ranged from 70% to 95% for both algorithms. In terms of signal to noise ratio, the RLS algorithm ranged from 36 dB to 42 dB, while the LMS algorithm only varied from 20 dB to 29 dB.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116267150","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}
This study shows the contribution of Discrete Event Simulation (DES) for improvement of statics production scheduling process in the environment of dynamic demand. Using simulation software - Tecnomatix Plant Simulation 13 ® by Siemens, makes it possible to structure a digital factory model. It defines and validates the operating logic of this model and enables the automatic reconfiguration of production planning. This virtual model represents the operations of eyewear industry starting from placing customer request till collecting final product. The primary purpose is to automate most of the production planning process and enable automatic execution in virtual settings, which will potentially guide the physical operation. The result is to provoke integration between production management systems with simulation tools, therefore increase productivity, reduce waste and improve the use of labor.
{"title":"Dynamic Modeling of Discrete Event Simulation","authors":"R. Ferro, Gabrielly A. Cordeiro, R. Ordóñez","doi":"10.1145/3177457.3177477","DOIUrl":"https://doi.org/10.1145/3177457.3177477","url":null,"abstract":"This study shows the contribution of Discrete Event Simulation (DES) for improvement of statics production scheduling process in the environment of dynamic demand. Using simulation software - Tecnomatix Plant Simulation 13 ® by Siemens, makes it possible to structure a digital factory model. It defines and validates the operating logic of this model and enables the automatic reconfiguration of production planning. This virtual model represents the operations of eyewear industry starting from placing customer request till collecting final product. The primary purpose is to automate most of the production planning process and enable automatic execution in virtual settings, which will potentially guide the physical operation. The result is to provoke integration between production management systems with simulation tools, therefore increase productivity, reduce waste and improve the use of labor.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121776742","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}
Anon Phanijjiva, C. Limjeerajarus, N. Limjeerajarus
The dental pulp plays an important role in maintaining the functional status of the tooth. Proper masticatory force helped maintaining the dental pulp vitality. However, the force distributed into the dental pulp could not be directly measured. Currently available simulation models were single unit and/or unrealistic in shape and dimension. The purpose of this study was to develop a novel real geometry of whole teeth 3D model based on the CT scan system and conducted static structural analyses using the finite element analysis (FEA). The developed model of the mandibular first molar consisted of multicomponent of enamel, dentin and dental pulp. The masticatory loading condition for simulation was performed in three conditions at the average biting force of 54.3 MPa. The results showed that the average occlusal pressure did not cause failure of the tooth components as the max Von Mises stress did not exceed its ultimate strength. Simulation results revealed that the average normal stresses at the peaks of the dental pulp was only 0.003 MPa, which was less than 1% of that exerted on the enamel.
{"title":"Study on Occlusion-induced Mechanical Force Distribution in Dental Pulp Using 3-D Modeling Based on Finite Element Analysis","authors":"Anon Phanijjiva, C. Limjeerajarus, N. Limjeerajarus","doi":"10.1145/3177457.3177471","DOIUrl":"https://doi.org/10.1145/3177457.3177471","url":null,"abstract":"The dental pulp plays an important role in maintaining the functional status of the tooth. Proper masticatory force helped maintaining the dental pulp vitality. However, the force distributed into the dental pulp could not be directly measured. Currently available simulation models were single unit and/or unrealistic in shape and dimension. The purpose of this study was to develop a novel real geometry of whole teeth 3D model based on the CT scan system and conducted static structural analyses using the finite element analysis (FEA). The developed model of the mandibular first molar consisted of multicomponent of enamel, dentin and dental pulp. The masticatory loading condition for simulation was performed in three conditions at the average biting force of 54.3 MPa. The results showed that the average occlusal pressure did not cause failure of the tooth components as the max Von Mises stress did not exceed its ultimate strength. Simulation results revealed that the average normal stresses at the peaks of the dental pulp was only 0.003 MPa, which was less than 1% of that exerted on the enamel.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125926654","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}
R. Martínek, R. Kahankova, P. Bilik, J. Nedoma, M. Fajkus, M. Skacel
The paper deals with the speech processing and adaptive filtration. Introduced application is implemented in both online and offline mode in LabVIEW. The online mode program is used to create a database of speech recordings and various interferences from the outdoor environment as well as from the home. The offline application then serves to test adaptive algorithms for the needs of speech processing. The criterion for comparing the efficiency of individual algorithms is primarily to increase the signal to noise ratio. To test the filtration rate, a global SNR method was chosen.
{"title":"Speech Signal Processing using Microphones NI 9234 and LabVIEW","authors":"R. Martínek, R. Kahankova, P. Bilik, J. Nedoma, M. Fajkus, M. Skacel","doi":"10.1145/3177457.3177501","DOIUrl":"https://doi.org/10.1145/3177457.3177501","url":null,"abstract":"The paper deals with the speech processing and adaptive filtration. Introduced application is implemented in both online and offline mode in LabVIEW. The online mode program is used to create a database of speech recordings and various interferences from the outdoor environment as well as from the home. The offline application then serves to test adaptive algorithms for the needs of speech processing. The criterion for comparing the efficiency of individual algorithms is primarily to increase the signal to noise ratio. To test the filtration rate, a global SNR method was chosen.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128690740","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}
Nowadays, companies and organizations pay more attention to the use of open source software. In this regard, organizations can benefit from the advantages of this kind of software, such as less cost and more flexibility. However, migration to open source software has its own risks, such as training of employee, lack of compatibility, and support. Reviewing numerous papers found in the literature, this study aims to collect a complete list of risks that may influence the open source migration process as much as possible. It also provides a new categorization of the risks by which each risk is classified based on its type (organizational, technical, and environmental), and its time of occurrence (before, during, and after migration). Moreover, this paper proposes a number of conceivable measures to mitigate each risk; some of them are proposed for the first time in this area of research. The results of this study can help organizations' decision makers to make better decisions in the open source migration process.
{"title":"Proposing novel measures to alleviate the risks of migration to open source software","authors":"Ehsan Noroozi, Habib Seifzadeh","doi":"10.1145/3177457.3177478","DOIUrl":"https://doi.org/10.1145/3177457.3177478","url":null,"abstract":"Nowadays, companies and organizations pay more attention to the use of open source software. In this regard, organizations can benefit from the advantages of this kind of software, such as less cost and more flexibility. However, migration to open source software has its own risks, such as training of employee, lack of compatibility, and support. Reviewing numerous papers found in the literature, this study aims to collect a complete list of risks that may influence the open source migration process as much as possible. It also provides a new categorization of the risks by which each risk is classified based on its type (organizational, technical, and environmental), and its time of occurrence (before, during, and after migration). Moreover, this paper proposes a number of conceivable measures to mitigate each risk; some of them are proposed for the first time in this area of research. The results of this study can help organizations' decision makers to make better decisions in the open source migration process.","PeriodicalId":297531,"journal":{"name":"Proceedings of the 10th International Conference on Computer Modeling and Simulation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128156091","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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