Highways are playing increasingly significant roles in connecting different cities, and there are many vehicles traveling on highways. However, with the ever-growing number of vehicles, traffic problems such as congestion have become more and more severe, and the efficiency of travel is dramatically affected by the on-road jams. Therefore, it is necessary to understand the basic modes of highways and to identify vehicles' travel patterns, which can help the highway administrators to master the characteristics of highways and make effective decisions to relieve traffic problems. There has been much research about urban travel patterns while little research has been conducted on highway travel patterns. As far as we know, this is the first time to analyze highway travel patterns using highway transaction data. In this paper, we propose to use a practical data-mining method. Firstly, we introduce a 4-dimensional vector to describe the spatial and temporal characteristics of a car. Then we adopt the unsupervised clustering-based methods to mine the hidden regularities of the travel patterns, and we get four identifiable patterns that could be explained reasonably in practice. Finally, we provide some case studies to demonstrate the effectiveness of the proposed scheme and conduct a series of analyses based on different patterns.
{"title":"Mining Spatial-Temporal Travel Patterns from Highway Transaction Data","authors":"Wenhui Ji, Zhilong Lu, T. Zhu","doi":"10.1145/3284557.3284565","DOIUrl":"https://doi.org/10.1145/3284557.3284565","url":null,"abstract":"Highways are playing increasingly significant roles in connecting different cities, and there are many vehicles traveling on highways. However, with the ever-growing number of vehicles, traffic problems such as congestion have become more and more severe, and the efficiency of travel is dramatically affected by the on-road jams. Therefore, it is necessary to understand the basic modes of highways and to identify vehicles' travel patterns, which can help the highway administrators to master the characteristics of highways and make effective decisions to relieve traffic problems. There has been much research about urban travel patterns while little research has been conducted on highway travel patterns. As far as we know, this is the first time to analyze highway travel patterns using highway transaction data. In this paper, we propose to use a practical data-mining method. Firstly, we introduce a 4-dimensional vector to describe the spatial and temporal characteristics of a car. Then we adopt the unsupervised clustering-based methods to mine the hidden regularities of the travel patterns, and we get four identifiable patterns that could be explained reasonably in practice. Finally, we provide some case studies to demonstrate the effectiveness of the proposed scheme and conduct a series of analyses based on different patterns.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125578567","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}
Most of the neural machine translation methods are devoted to using syntactic information at one end of the Encoder-Decoder framework. They didn't use syntactic information at both ends, so that the syntactic information cannot be fully utilized to improve the translation effect. There are still errors due to insufficient grammar information. In order to solve this problem and make full use of syntactic information, we proposed a new tree-to-tree neural machine translation model. Syntax tree is added to the encoder as priori knowledge, and the bidirectional tree is used to obtain the information of the syntax tree, thereby generating a high-quality representation. At the same time, syntax structure is also added to the decoder to guide sentence generation. The experiment was carried out on Chinese-English language pairs, which proved to improve the effect of the neural machine translation.
{"title":"Improve Neural Machine Translation by Syntax Tree","authors":"Siyu Chen, Qingsong Yu","doi":"10.1145/3284557.3284744","DOIUrl":"https://doi.org/10.1145/3284557.3284744","url":null,"abstract":"Most of the neural machine translation methods are devoted to using syntactic information at one end of the Encoder-Decoder framework. They didn't use syntactic information at both ends, so that the syntactic information cannot be fully utilized to improve the translation effect. There are still errors due to insufficient grammar information. In order to solve this problem and make full use of syntactic information, we proposed a new tree-to-tree neural machine translation model. Syntax tree is added to the encoder as priori knowledge, and the bidirectional tree is used to obtain the information of the syntax tree, thereby generating a high-quality representation. At the same time, syntax structure is also added to the decoder to guide sentence generation. The experiment was carried out on Chinese-English language pairs, which proved to improve the effect of the neural machine translation.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121091608","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}
Clamp-on gas flowmeters based on ultrasonic guided waves are easy to installed, with a wide range of application, without affecting the pipe structure. In this paper, the gas flow measurement based on ultrasonic guided waves is studied. And the finite element simulation method is used to conduct guided wave excitation and gas flow measurement experiments on gas-containing pipelines. The excitation simulation of guided wave modes is performed at different frequencies on different material pipelines. The results show that the selection of the excitation signal frequency and guided wave modes needs to consider with the dispersion curve and the vibration displacement distribution of the guided waves on the pipe wall together. Finally, the flow simulation experiment of the gas-containing pipeline is performed. The ratio of the time difference between the simulation result and the theoretical value is constant, which further explains the necessity of the compensation coefficient in the flow measurement formula.
{"title":"Simulation Analysis of Ultrasonic Guided Waves on Gas Flow Measurement","authors":"Heze Zhang, Li Cao","doi":"10.1145/3284557.3284715","DOIUrl":"https://doi.org/10.1145/3284557.3284715","url":null,"abstract":"Clamp-on gas flowmeters based on ultrasonic guided waves are easy to installed, with a wide range of application, without affecting the pipe structure. In this paper, the gas flow measurement based on ultrasonic guided waves is studied. And the finite element simulation method is used to conduct guided wave excitation and gas flow measurement experiments on gas-containing pipelines. The excitation simulation of guided wave modes is performed at different frequencies on different material pipelines. The results show that the selection of the excitation signal frequency and guided wave modes needs to consider with the dispersion curve and the vibration displacement distribution of the guided waves on the pipe wall together. Finally, the flow simulation experiment of the gas-containing pipeline is performed. The ratio of the time difference between the simulation result and the theoretical value is constant, which further explains the necessity of the compensation coefficient in the flow measurement formula.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128881045","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}
Based on the science and technology plan project of Shandong province, this paper designs an automatic control system based on the temperature, humidity and light intensity of the embedded agricultural greenhouse. The system uses DHT11 temperature and humidity sensor and BH1750 light intensity sensor to collect environmental information and transmit the collected data to the STM32F103ZET6 microcontroller for processing and sending out control signals. The system is simple in operation, low in cost and high in precision.
{"title":"Embedded Automatic Control System for Temperature, Humidity and Light Intensity in Agricultural Greenhouses","authors":"L. Meili, Bi Yankang","doi":"10.1145/3284557.3284742","DOIUrl":"https://doi.org/10.1145/3284557.3284742","url":null,"abstract":"Based on the science and technology plan project of Shandong province, this paper designs an automatic control system based on the temperature, humidity and light intensity of the embedded agricultural greenhouse. The system uses DHT11 temperature and humidity sensor and BH1750 light intensity sensor to collect environmental information and transmit the collected data to the STM32F103ZET6 microcontroller for processing and sending out control signals. The system is simple in operation, low in cost and high in precision.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131143078","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 paper addresses an unconventional approach for localizing underwater robots through sensor fusion and inverted Long Baseline (LBL) method. Initially, the paper describes the practical difficulties faced in developing such a system and then provides a solution for the same. Underwater localization finds its application in precise bathymetry scanning and underwater navigation. Apart from the normal LBL localization, an inverted moving LBL approach is introduced by means of Ultra-Short Baseline (USBL) modems. For the development of localization algorithm, a fleet of underwater robots and autonomous surface vehicles equipped with USBL modems are utilized. These modems, equipped with an atomic clock are able to localize its position with respect to another USBL modem. Measurements from the USBL modem which is fitted in the underwater robot are then fed to a tested outlier rejection algorithm. Filtered values are then given to a localization algorithm which is built upon time of arrival (TOA) measurements and depth sensor readings. The output of the localization algorithm is combined with Inertial Navigation System (INS) readings by an unscented Kalman Filter. By this method, long-term accuracy of USBL and short-term accuracy of INS are well utilized. Analysis of various errors caused by the system has been addressed in the second half of the paper. Finally, the paper finishes with a few test results from the simulation. Simulation results prove the localization approach and the degree of error caused by false readings. The simulation results had an error of 9m in localization with a 100ms difference in TOA without moving LBL approach. This paper addresses a method to overcome such an error.
{"title":"Evaluation of High Precision Localization Approach for a Fleet of Unmanned Deep Ocean Vehicles","authors":"Edwin Devassykutty, G. Brink","doi":"10.1145/3284557.3284717","DOIUrl":"https://doi.org/10.1145/3284557.3284717","url":null,"abstract":"This paper addresses an unconventional approach for localizing underwater robots through sensor fusion and inverted Long Baseline (LBL) method. Initially, the paper describes the practical difficulties faced in developing such a system and then provides a solution for the same. Underwater localization finds its application in precise bathymetry scanning and underwater navigation. Apart from the normal LBL localization, an inverted moving LBL approach is introduced by means of Ultra-Short Baseline (USBL) modems. For the development of localization algorithm, a fleet of underwater robots and autonomous surface vehicles equipped with USBL modems are utilized. These modems, equipped with an atomic clock are able to localize its position with respect to another USBL modem. Measurements from the USBL modem which is fitted in the underwater robot are then fed to a tested outlier rejection algorithm. Filtered values are then given to a localization algorithm which is built upon time of arrival (TOA) measurements and depth sensor readings. The output of the localization algorithm is combined with Inertial Navigation System (INS) readings by an unscented Kalman Filter. By this method, long-term accuracy of USBL and short-term accuracy of INS are well utilized. Analysis of various errors caused by the system has been addressed in the second half of the paper. Finally, the paper finishes with a few test results from the simulation. Simulation results prove the localization approach and the degree of error caused by false readings. The simulation results had an error of 9m in localization with a 100ms difference in TOA without moving LBL approach. This paper addresses a method to overcome such an error.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130774823","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, electricity companies have started applying smart grid in their systems rather than the conventional electrical grid (manual grid). Smart grid produces an efficient and effective energy management and control, reduces the cost of production, saves energy and it is more reliable compared to the conventional grid. As an advanced energy meter, smart meters can measure the power consumption as well as monitor and control electrical devices. Smart meters have been adopted in many countries since the 2000s as they provide economic, social and environmental benefits for multiple stakeholders. The design of smart meter can be customized depending on the customer and the utility company needs. There are different sensors and devices supported by dedicated communication infrastructure which can be utilized to implement smart meters. This paper presents a study of the challenges associated with smart meters, smart homes and smart grids as an effort to highlight opportunities for emerging research and industrial solutions.
{"title":"On the Challenges and Opportunities of Smart Meters in Smart Homes and Smart Grids","authors":"Zainab Al-Waisi, Michael Opoku Agyeman","doi":"10.1145/3284557.3284561","DOIUrl":"https://doi.org/10.1145/3284557.3284561","url":null,"abstract":"Nowadays, electricity companies have started applying smart grid in their systems rather than the conventional electrical grid (manual grid). Smart grid produces an efficient and effective energy management and control, reduces the cost of production, saves energy and it is more reliable compared to the conventional grid. As an advanced energy meter, smart meters can measure the power consumption as well as monitor and control electrical devices. Smart meters have been adopted in many countries since the 2000s as they provide economic, social and environmental benefits for multiple stakeholders. The design of smart meter can be customized depending on the customer and the utility company needs. There are different sensors and devices supported by dedicated communication infrastructure which can be utilized to implement smart meters. This paper presents a study of the challenges associated with smart meters, smart homes and smart grids as an effort to highlight opportunities for emerging research and industrial solutions.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132409495","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}
Under the condition that the platform may be attacked by multiple types of targets, the types of weapons on the platform are diverse and the operational situation is complex, the traditional method of the weapon-target assignment cannot adapt to the requirements of the high intensity and multi-aspects. This paper puts forward the concept of weapon compatibility coefficient, establishes the mathematical model of weapons-targets assignment, and designs the weapons-targets assignment algorithm by the genetic algorithm. The simulation experiment shows that this method can provide nearly real-time and overall optimal weapons-target assignment decision for multi-aspect combat of the platform, and can significantly improve the comprehensive effectiveness.
{"title":"Studying on Weapons-Targets Assignment Based on Genetic Algorithm","authors":"Jintao Su, Yunqi Yao, Yuefeng He","doi":"10.1145/3284557.3284707","DOIUrl":"https://doi.org/10.1145/3284557.3284707","url":null,"abstract":"Under the condition that the platform may be attacked by multiple types of targets, the types of weapons on the platform are diverse and the operational situation is complex, the traditional method of the weapon-target assignment cannot adapt to the requirements of the high intensity and multi-aspects. This paper puts forward the concept of weapon compatibility coefficient, establishes the mathematical model of weapons-targets assignment, and designs the weapons-targets assignment algorithm by the genetic algorithm. The simulation experiment shows that this method can provide nearly real-time and overall optimal weapons-target assignment decision for multi-aspect combat of the platform, and can significantly improve the comprehensive effectiveness.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132838896","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 paper presents a compact solution of the recently proposed (time) distributed multi-step delayed input and state estimation (DMSDISE) using a novel decoupled unknown input estimator (UIE) design. It is shown that via this decoupling technique, the conventional UIE can be more efficiently implemented using several smaller unknown subinput estimators, which can be realized independently. Furthermore, the implementation issue of designing the online estimable UIE using a filtered state estimator is also addressed. A numerical example is given to show the effectiveness of the proposed method.
{"title":"A Compact Solution of Distributed Multi-Step Delayed Input and State Estimation","authors":"C. Hsieh","doi":"10.1145/3284557.3284696","DOIUrl":"https://doi.org/10.1145/3284557.3284696","url":null,"abstract":"This paper presents a compact solution of the recently proposed (time) distributed multi-step delayed input and state estimation (DMSDISE) using a novel decoupled unknown input estimator (UIE) design. It is shown that via this decoupling technique, the conventional UIE can be more efficiently implemented using several smaller unknown subinput estimators, which can be realized independently. Furthermore, the implementation issue of designing the online estimable UIE using a filtered state estimator is also addressed. A numerical example is given to show the effectiveness of the proposed method.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"22 1‐2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120833971","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}
C. Brecher, Evgeny Kusmenko, Achim Lindt, Bernhard Rumpe, S. Storms, S. Wein, Michael von Wenckstern, A. Wortmann
At present, manufacturing processes are highly tailored to a specific product. Changes in product requirements therefore lead to big manual efforts for adapting the manufacturing process and reconfiguring production resources accordingly. Existing approaches do not cope well with this complexity. This hinders agile, customer-oriented manufacturing. A promising approach for automated assembling processes is the Machine as a Service paradigm, which aims for providing production resources on demand. This requires a consistent and pervasive formalization of product specifications, the corresponding manufacturing resources and their interdependencies. Thus, our first contribution is a generic and extensible multi-level and modular modeling framework to formalize products and available resources. Our framework is scalable for large companies and enables reuse for cross-company collaboration and supplier integration. Thereby, the static relationship between product, process and resource is avoided by describing product features and resource skills in separate models. Our framework uses the standardized SysML/UML. Our second contribution is the ability of our framework to integrate different standards. For demonstration, we apply our multi-level approach to a flexible assembly of terminal boxes for transmission gears and show the integration of standards by embedding the eCl@ss classification.
{"title":"Multi-Level Modeling Framework for Machine as a Service Applications Based on Product Process Resource Models","authors":"C. Brecher, Evgeny Kusmenko, Achim Lindt, Bernhard Rumpe, S. Storms, S. Wein, Michael von Wenckstern, A. Wortmann","doi":"10.1145/3284557.3284714","DOIUrl":"https://doi.org/10.1145/3284557.3284714","url":null,"abstract":"At present, manufacturing processes are highly tailored to a specific product. Changes in product requirements therefore lead to big manual efforts for adapting the manufacturing process and reconfiguring production resources accordingly. Existing approaches do not cope well with this complexity. This hinders agile, customer-oriented manufacturing. A promising approach for automated assembling processes is the Machine as a Service paradigm, which aims for providing production resources on demand. This requires a consistent and pervasive formalization of product specifications, the corresponding manufacturing resources and their interdependencies. Thus, our first contribution is a generic and extensible multi-level and modular modeling framework to formalize products and available resources. Our framework is scalable for large companies and enables reuse for cross-company collaboration and supplier integration. Thereby, the static relationship between product, process and resource is avoided by describing product features and resource skills in separate models. Our framework uses the standardized SysML/UML. Our second contribution is the ability of our framework to integrate different standards. For demonstration, we apply our multi-level approach to a flexible assembly of terminal boxes for transmission gears and show the integration of standards by embedding the eCl@ss classification.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"79 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120921091","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}
Robust text line extraction from document images is vital prerequisite for any successful text recognition or analyzing process. Generally, most of the proposed algorithms for this task assumed kind of binarization pre-processing step in order to insure well performance. In this paper, we present a novel robust and efficient algorithm to extract textlines directly from gray level document images. The algorithm tracks minimal energy sub-seams accumulated to perform a full local minimal/maximal separating and medial seams defining the text lines. To improve the ability of extracting such seams, we enhance the image using double-sided adaptive local density projection profile followed by multi-scale anisotropic second derivative of Gaussian filter bank. Following the observation that center of lines are more reliable to follow, we first extract seams that follow the center of lines to constraint the algorithm for evolving the separating seams. The algorithm is parameter-free and we evaluate the free parameters directly by analyzing the image properties and the pixels distribution. We have tested our approach on multi-lingual various datasets written at range of image quality and received very encouraging results, which outperform state-of-the-art algorithms.
{"title":"Robust and Efficient Text: Line Extraction by Local Minimal Sub-Seams","authors":"Raid Saabni","doi":"10.1145/3284557.3284705","DOIUrl":"https://doi.org/10.1145/3284557.3284705","url":null,"abstract":"Robust text line extraction from document images is vital prerequisite for any successful text recognition or analyzing process. Generally, most of the proposed algorithms for this task assumed kind of binarization pre-processing step in order to insure well performance. In this paper, we present a novel robust and efficient algorithm to extract textlines directly from gray level document images. The algorithm tracks minimal energy sub-seams accumulated to perform a full local minimal/maximal separating and medial seams defining the text lines. To improve the ability of extracting such seams, we enhance the image using double-sided adaptive local density projection profile followed by multi-scale anisotropic second derivative of Gaussian filter bank. Following the observation that center of lines are more reliable to follow, we first extract seams that follow the center of lines to constraint the algorithm for evolving the separating seams. The algorithm is parameter-free and we evaluate the free parameters directly by analyzing the image properties and the pixels distribution. We have tested our approach on multi-lingual various datasets written at range of image quality and received very encouraging results, which outperform state-of-the-art algorithms.","PeriodicalId":272487,"journal":{"name":"Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114897784","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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