This paper describes a new technique for document retrieval using a web camera in an office environment. The architecture of the aforementioned method consists of three main stages: segmentation, restoration and retrieval. Firstly, the document image is taken with a web camera and the segmentation process is applied to locate the four corners of the document and isolate it. Then we proceed to document restoration by applying filtering, skew and curvature correction as well as removal of any redundant object that does not belong to the document. In the third and final stage, a feature vector is extracted and is compared with the documents of the database.
{"title":"A System for Restoration and Structural Retrieval of Documents","authors":"Maria Ntonti, N. Papamarkos","doi":"10.2316/P.2017.848-026","DOIUrl":"https://doi.org/10.2316/P.2017.848-026","url":null,"abstract":"This paper describes a new technique for document retrieval using a web camera in an office environment. The architecture of the aforementioned method consists of three main stages: segmentation, restoration and retrieval. Firstly, the document image is taken with a web camera and the segmentation process is applied to locate the four corners of the document and isolate it. Then we proceed to document restoration by applying filtering, skew and curvature correction as well as removal of any redundant object that does not belong to the document. In the third and final stage, a feature vector is extracted and is compared with the documents of the database.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"41 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72852552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper presents the automatic control of aircraft in longitudinal plane, during landing, by using the linearized dynamics of aircraft, taking into consideration the sensor errors and other external disturbances. Aircraft auto-landing is achieved by combining two control techniques: H2 and H∞ approaches; this way, a robust H2/H∞ controller is obtained. Within the robust H2/H∞ controller, the weights of the H2 and H∞ control techniques are adjusted such that the aircraft accurately tracks the desired trajectory during the two main stages of the landing process (glide slope and flare). The new automatic landing system also consists of: a subsystem which models the geometry of landing, providing the imposed value of aircraft longitudinal velocity and altitude, an optimal observer for the estimation of aircraft state and a dynamic compensator providing one of the two components of the mixed H2/H∞ control law. The theoretical results are validated by numerical simulations for the landing of a Boeing 747; the results are very promising and prove the robustness of the new auto-landing system even in the presence of disturbances.
{"title":"Automatic Control of Aircraft Landing by Using the H2/H∞ Control Technique","authors":"M. Lungu","doi":"10.2316/P.2017.848-004","DOIUrl":"https://doi.org/10.2316/P.2017.848-004","url":null,"abstract":"The paper presents the automatic control of aircraft in longitudinal plane, during landing, by using the linearized dynamics of aircraft, taking into consideration the sensor errors and other external disturbances. Aircraft auto-landing is achieved by combining two control techniques: H2 and H∞ approaches; this way, a robust H2/H∞ controller is obtained. Within the robust H2/H∞ controller, the weights of the H2 and H∞ control techniques are adjusted such that the aircraft accurately tracks the desired trajectory during the two main stages of the landing process (glide slope and flare). The new automatic landing system also consists of: a subsystem which models the geometry of landing, providing the imposed value of aircraft longitudinal velocity and altitude, an optimal observer for the estimation of aircraft state and a dynamic compensator providing one of the two components of the mixed H2/H∞ control law. The theoretical results are validated by numerical simulations for the landing of a Boeing 747; the results are very promising and prove the robustness of the new auto-landing system even in the presence of disturbances.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"12 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76446565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper deals with relations between transfer function of transmission line on printed circuit boards, pulse waveform, pulse distortion and achievable highest speed of transmitted pulse trains. Four types of linear pulses were investigated i.e., rectangular, triangular, trapezoidal, and a specific pulse having small signal level swings.
{"title":"Distortion of High-Speed Linear Pulses Caused by Transmission on Printed Circuit Boards","authors":"M. Sigmund, L. Brancík","doi":"10.2316/P.2017.848-018","DOIUrl":"https://doi.org/10.2316/P.2017.848-018","url":null,"abstract":"This paper deals with relations between transfer function of transmission line on printed circuit boards, pulse waveform, pulse distortion and achievable highest speed of transmitted pulse trains. Four types of linear pulses were investigated i.e., rectangular, triangular, trapezoidal, and a specific pulse having small signal level swings.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79563298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A static model of cerebral blood circulation is constructed for developing an automatic control system of physiological brain state, which will be used in brain resuscitation. In this paper, the constructed model was partially verified in the simulation using the actual data of a 70 years old patient with stenosis at left internal carotid artery. In the simulation, each arterial blood flow in cerebral blood circulation were calculated and were compared with the actual data measured by MRI and SPECT. In addition, the distribution of blood pressure in the Circle of Willis and the change of blood pressure along blood flow were also calculated for verifying against physiological knowledge. These results indicated that this model can represent the arterial part of cerebral blood circulation of this patient. And, the results also indicate the possibility that a static model such as our model represents cerebral blood circulation sufficiently. Thus, the construction of our model is enough significant.
{"title":"A Model of Cerebral Blood Circulation for Future Automatic Control of Brain State","authors":"T. Utsuki","doi":"10.2316/P.2017.848-050","DOIUrl":"https://doi.org/10.2316/P.2017.848-050","url":null,"abstract":"A static model of cerebral blood circulation is constructed for developing an automatic control system of physiological brain state, which will be used in brain resuscitation. In this paper, the constructed model was partially verified in the simulation using the actual data of a 70 years old patient with stenosis at left internal carotid artery. In the simulation, each arterial blood flow in cerebral blood circulation were calculated and were compared with the actual data measured by MRI and SPECT. In addition, the distribution of blood pressure in the Circle of Willis and the change of blood pressure along blood flow were also calculated for verifying against physiological knowledge. These results indicated that this model can represent the arterial part of cerebral blood circulation of this patient. And, the results also indicate the possibility that a static model such as our model represents cerebral blood circulation sufficiently. Thus, the construction of our model is enough significant.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"13 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80054846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we propose an approach for abnormal event detection, using the object-level spatio-temporal representation. Our approach detects an abnormal event in complex scenes which contain objects classified in various categories. We compute the object-level 3D Region-of-interest (3D RoI) and extract object-level 3D volume. Then, the object-level 3D volume is inputted to 3D deep convolutional neural network (3D-DCNN) for detecting the abnormal event. In the experiments, we compare our method with several methods on our experimental dataset.
{"title":"Learning Object-Level Spatio-Temporal Representation for Abnormal Event Detection","authors":"Jongmin Yu, Sejeong Lee, M. Jeon","doi":"10.2316/P.2017.848-013","DOIUrl":"https://doi.org/10.2316/P.2017.848-013","url":null,"abstract":"In this paper, we propose an approach for abnormal event detection, using the object-level spatio-temporal representation. Our approach detects an abnormal event in complex scenes which contain objects classified in various categories. We compute the object-level 3D Region-of-interest (3D RoI) and extract object-level 3D volume. Then, the object-level 3D volume is inputted to 3D deep convolutional neural network (3D-DCNN) for detecting the abnormal event. In the experiments, we compare our method with several methods on our experimental dataset.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"605 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77613774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The energy expenditure in human arm has been of great interests for seeking optimal human arm trajectories. This paper presents a new way for calculating metabolic energy consumption of human arm motions. The purpose is to reveal the relationship between the energy consumption and the trajectory of arm motion, and further, the acceleration and arm orientation contributions. Human arm motion in horizontal plane is investigated by virtue of Qualisys motion capture system. The motion data is post-processed by a biomechanical model to obtain the metabolic expenditure. Results on the arm motion kinematics, dynamics and metabolic energy consumption, are included.
{"title":"Energy Optimal Trajectories in Human Arm Motion Aiming for Assistive Robots","authors":"Lelai Zhou, S. Bai, Yibin Li","doi":"10.4173/MIC.2017.1.2","DOIUrl":"https://doi.org/10.4173/MIC.2017.1.2","url":null,"abstract":"The energy expenditure in human arm has been of great interests for seeking optimal human arm trajectories. This paper presents a new way for calculating metabolic energy consumption of human arm motions. The purpose is to reveal the relationship between the energy consumption and the trajectory of arm motion, and further, the acceleration and arm orientation contributions. Human arm motion in horizontal plane is investigated by virtue of Qualisys motion capture system. The motion data is post-processed by a biomechanical model to obtain the metabolic expenditure. Results on the arm motion kinematics, dynamics and metabolic energy consumption, are included.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"1 1","pages":"11-19"},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78455805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The consumption of fossil fuels in order to power flights leads to undesirable pollution particles to be released to the atmosphere. Fuel also represents an important expense for airlines. For these reasons, it is of interest to reduce fuel burn for a given flight. In this article, the altitudes followed by a commercial aircraft during the cruise phase of a flight, also called vertical reference trajectory, were optimized in terms of fuel burn. The airspace was modelled under the form of a unidirectional graph. Fuel burn was computed using a numerical performance model. The weather forecast was obtained from the model delivered by Environment Canada. The selection of waypoints where to execute the changes in altitudes that provided the most economical flight cost in terms of fuel burn was determined using the particle swarm optimisation (PSO) algorithm. The trajectories provided by the algorithm developed in this paper were compared against simple geodesic trajectories to validate its optimization potential, and against as flown trajectories. Results have showed that up to 6.5% of fuel burn can be saved comparing against simple trajectories, and up to 3.1% was optimized comparing against as flown trajectories.
{"title":"Vertical Reference Flight Trajectory Optimization with the Particle Swarm Optimisation","authors":"A. Murrieta-Mendoza, Hugo Ruiz, R. Botez","doi":"10.2316/P.2017.848-032","DOIUrl":"https://doi.org/10.2316/P.2017.848-032","url":null,"abstract":"The consumption of fossil fuels in order to power flights leads to undesirable pollution particles to be released to the atmosphere. Fuel also represents an important expense for airlines. For these reasons, it is of interest to reduce fuel burn for a given flight. In this article, the altitudes followed by a commercial aircraft during the cruise phase of a flight, also called vertical reference trajectory, were optimized in terms of fuel burn. The airspace was modelled under the form of a unidirectional graph. Fuel burn was computed using a numerical performance model. The weather forecast was obtained from the model delivered by Environment Canada. The selection of waypoints where to execute the changes in altitudes that provided the most economical flight cost in terms of fuel burn was determined using the particle swarm optimisation (PSO) algorithm. The trajectories provided by the algorithm developed in this paper were compared against simple geodesic trajectories to validate its optimization potential, and against as flown trajectories. Results have showed that up to 6.5% of fuel burn can be saved comparing against simple trajectories, and up to 3.1% was optimized comparing against as flown trajectories.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"45 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78573306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We propose a range estimation method for a short-range frequency-modulated continuous wave (FMCW) sonar. Due to the slower sound wave and the greater Doppler effect of the FMCW sonar, the beat frequency of the FMCW sonar cannot keep the constant duration unlike the beat frequency of the FMCW radar. To cope with the drawback of the FMCW sonar, in the proposed method the rising edge and the falling edge of the beat frequency are utilized. This leads us to normally estimate the range of a high-speed underwater vehicle in short-range situation. Simulation results show that the proposed method can estimate the range from the measurements where the Doppler effect is exactly reflected according to the maneuver scenario of high-speed underwater vehicles.
{"title":"Range Estimation Method in a Short-Range FMCW Sonar","authors":"Young-Kwang Seo, Wan-Jin Kim, Hyoung-Nam Kim","doi":"10.2316/P.2017.848-046","DOIUrl":"https://doi.org/10.2316/P.2017.848-046","url":null,"abstract":"We propose a range estimation method for a short-range frequency-modulated continuous wave (FMCW) sonar. Due to the slower sound wave and the greater Doppler effect of the FMCW sonar, the beat frequency of the FMCW sonar cannot keep the constant duration unlike the beat frequency of the FMCW radar. To cope with the drawback of the FMCW sonar, in the proposed method the rising edge and the falling edge of the beat frequency are utilized. This leads us to normally estimate the range of a high-speed underwater vehicle in short-range situation. Simulation results show that the proposed method can estimate the range from the measurements where the Doppler effect is exactly reflected according to the maneuver scenario of high-speed underwater vehicles.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"393 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80097175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, a novel logic decomposing method in selfhealing smart grid system based on neural networks is presented and the theoretical fundamentals of the design are expounded. The proposed automatic smart grid topology search algorithm, which is based on artificial neural network (ANN), realizes the adaptive function of analyzing and updating the self-healing system logic in the grid automatically. Furthermore, the configuration design in a neural network mode makes the system have the parallel processing mechanism and the ability of learning and fault decision-making. The outlet of protection is transferred from the neural networks by adjusting the connecting weights. Therefore, the system can classify and recognize arbitrarily complex connecting mode and acting logic.
{"title":"Self-Healing Smart Grid System Based on Artificial Neural Network","authors":"Chen Li, QiuMei Wei, Shen Jian, Hou Zhe","doi":"10.2316/P.2017.848-009","DOIUrl":"https://doi.org/10.2316/P.2017.848-009","url":null,"abstract":"In this paper, a novel logic decomposing method in selfhealing smart grid system based on neural networks is presented and the theoretical fundamentals of the design are expounded. The proposed automatic smart grid topology search algorithm, which is based on artificial neural network (ANN), realizes the adaptive function of analyzing and updating the self-healing system logic in the grid automatically. Furthermore, the configuration design in a neural network mode makes the system have the parallel processing mechanism and the ability of learning and fault decision-making. The outlet of protection is transferred from the neural networks by adjusting the connecting weights. Therefore, the system can classify and recognize arbitrarily complex connecting mode and acting logic.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"31 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79333080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To efficiently utilize link resources, rate allocation is of great importance in deep space networks. The major challenge is the incompatibility of adjacent links’ capacity, which easily leads to congestion or low link utilization. However, traditional solutions like NUM fail to capture such link variability. Therefore, we devise a piecewise model which divides a deep space network into segments according to link lengths. Then, we propose a delay-aware utility objective for each segment considering the tradeoff between throughput and end-to-end delays. Correspondingly, a piecewise rate allocation algorithm with quadratic convergence rate is derived. The numerical results demonstrate that our algorithm can improve throughput by 35% and reduce end-to-end delays by 90% compared to DNUM-based algorithms.
{"title":"Piecewise Rate Allocation for Deep Space Networks","authors":"Zhenghui Liu, Lixiang Liu, Jianzhou Chen","doi":"10.2316/P.2017.848-040","DOIUrl":"https://doi.org/10.2316/P.2017.848-040","url":null,"abstract":"To efficiently utilize link resources, rate allocation is of great importance in deep space networks. The major challenge is the incompatibility of adjacent links’ capacity, which easily leads to congestion or low link utilization. However, traditional solutions like NUM fail to capture such link variability. Therefore, we devise a piecewise model which divides a deep space network into segments according to link lengths. Then, we propose a delay-aware utility objective for each segment considering the tradeoff between throughput and end-to-end delays. Correspondingly, a piecewise rate allocation algorithm with quadratic convergence rate is derived. The numerical results demonstrate that our algorithm can improve throughput by 35% and reduce end-to-end delays by 90% compared to DNUM-based algorithms.","PeriodicalId":49801,"journal":{"name":"Modeling Identification and Control","volume":"430 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76640484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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