Pub Date : 2017-06-01DOI: 10.1109/CIVEMSA.2017.7995311
M. Tanaya, Koukeng Yang, Taran Christensen, Shen Li, Michael O'Keefe, J. Fridley, Kelvin Sung
The recent advances in Virtual Reality (VR) and Augmented Reality (AR) research have enabled investigations into collaborative efforts that equip participants with heterogeneous technological configurations in various degrees of immersion. Results from this work are interesting and may seem futuristic which can cause challenges in understanding the underlying impacts and gaining insights. This paper describes an attempt in identifying the fundamental elements of a digital interaction and remote collaboration; and proposes the Cross Reality Collaboration Framework (CRCF) to provide a unified platform for discussing, comparing, and contrasting these efforts. Though in an early stage of development, the current iteration of CRCF is capable of analyzing configurations that are based on drastically different technologies (e.g., an AR application vs. a location aware mobile application), comparing them, and revealing insights. This paper demonstrates the potentials of CRCF by applying it to analyze popular technological configurations and identifying opportunities for investigations. The paper then describes a prototype solution addressing the identified opportunity and presents results from a testing environment involving four collaborators with distinct technological configurations.
{"title":"A Framework for analyzing AR/VR Collaborations: An initial result","authors":"M. Tanaya, Koukeng Yang, Taran Christensen, Shen Li, Michael O'Keefe, J. Fridley, Kelvin Sung","doi":"10.1109/CIVEMSA.2017.7995311","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2017.7995311","url":null,"abstract":"The recent advances in Virtual Reality (VR) and Augmented Reality (AR) research have enabled investigations into collaborative efforts that equip participants with heterogeneous technological configurations in various degrees of immersion. Results from this work are interesting and may seem futuristic which can cause challenges in understanding the underlying impacts and gaining insights. This paper describes an attempt in identifying the fundamental elements of a digital interaction and remote collaboration; and proposes the Cross Reality Collaboration Framework (CRCF) to provide a unified platform for discussing, comparing, and contrasting these efforts. Though in an early stage of development, the current iteration of CRCF is capable of analyzing configurations that are based on drastically different technologies (e.g., an AR application vs. a location aware mobile application), comparing them, and revealing insights. This paper demonstrates the potentials of CRCF by applying it to analyze popular technological configurations and identifying opportunities for investigations. The paper then describes a prototype solution addressing the identified opportunity and presents results from a testing environment involving four collaborators with distinct technological configurations.","PeriodicalId":123360,"journal":{"name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130678179","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 : 2017-06-01DOI: 10.1109/CIVEMSA.2017.7995316
Pierre Nagorny, Maurice Pillet, É. Pairel, R. Goff, Jérôme Loureaux, Marlène Wali, Patrice Kiener
Injection molded part quality can be improved by precise process adjustment, which could rely on in-situ measurements of part quality. Geometrical and appearance quality (visually and sensory) requirements are increasing. However, direct measurement is often not feasible industrially. Therefore, process control must rely on a prediction of parts quality attributes. This study compares prediction performances of diverse neural networks architectures with “classical” regression algorithms. Dataset comes from inline industrial measurements. Regression was performed on 97 scalar statistical features extracted from multiple acquisitions sources: thermographic images and analog signals. Haralick features were extracted. Convolutional Neural Networks were trained on thermographic images and Long Short Term Memory networks were trained on raw signals. Although the dataset was small, neural networks show better predictions scores than other regression algorithms.
{"title":"Quality prediction in injection molding","authors":"Pierre Nagorny, Maurice Pillet, É. Pairel, R. Goff, Jérôme Loureaux, Marlène Wali, Patrice Kiener","doi":"10.1109/CIVEMSA.2017.7995316","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2017.7995316","url":null,"abstract":"Injection molded part quality can be improved by precise process adjustment, which could rely on in-situ measurements of part quality. Geometrical and appearance quality (visually and sensory) requirements are increasing. However, direct measurement is often not feasible industrially. Therefore, process control must rely on a prediction of parts quality attributes. This study compares prediction performances of diverse neural networks architectures with “classical” regression algorithms. Dataset comes from inline industrial measurements. Regression was performed on 97 scalar statistical features extracted from multiple acquisitions sources: thermographic images and analog signals. Haralick features were extracted. Convolutional Neural Networks were trained on thermographic images and Long Short Term Memory networks were trained on raw signals. Although the dataset was small, neural networks show better predictions scores than other regression algorithms.","PeriodicalId":123360,"journal":{"name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126899363","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 : 2017-06-01DOI: 10.1109/CIVEMSA.2017.7995321
Rym Skhiri, V. Fresse, Jean-Paul Jamont, Benoît Suffran
Field Programmable Gate Array (FPGAs) have been known as high efficient devices providing architectural flexibility, reconfigurability and high timing performances for embedded real time systems. For highly critical applications, FPGA provides low power consumption, significant resource optimization and can meet the real time constraints. Data acquisition systems and many measurement systems for industrial applications are based on standalone platforms integrating FPGA. Now the FPGA are considered in cloud computing for which the concept of “cloud FPGA” has been emerging over the last few years. Cloud FPGA leads to a set of challenges to be solved and clarifying what is the Cloud FPGA and which types of cloud FPGA exist should be detailed. In this context, the paper reviews the main challenges of FPGA, either mono or multi based sensor network applications. We show that these challenges based on each step of the design flow can play a key role in the future of sensor networks when proposing a cloud FPGA infrastructure.
{"title":"Challenges of virtualization FPGA in a cloud context","authors":"Rym Skhiri, V. Fresse, Jean-Paul Jamont, Benoît Suffran","doi":"10.1109/CIVEMSA.2017.7995321","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2017.7995321","url":null,"abstract":"Field Programmable Gate Array (FPGAs) have been known as high efficient devices providing architectural flexibility, reconfigurability and high timing performances for embedded real time systems. For highly critical applications, FPGA provides low power consumption, significant resource optimization and can meet the real time constraints. Data acquisition systems and many measurement systems for industrial applications are based on standalone platforms integrating FPGA. Now the FPGA are considered in cloud computing for which the concept of “cloud FPGA” has been emerging over the last few years. Cloud FPGA leads to a set of challenges to be solved and clarifying what is the Cloud FPGA and which types of cloud FPGA exist should be detailed. In this context, the paper reviews the main challenges of FPGA, either mono or multi based sensor network applications. We show that these challenges based on each step of the design flow can play a key role in the future of sensor networks when proposing a cloud FPGA infrastructure.","PeriodicalId":123360,"journal":{"name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123254270","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 : 2017-06-01DOI: 10.1109/CIVEMSA.2017.7995315
Bruno Albert, J. Maire, Maurice Pillet, C. Zanni-Merk, F. D. Beuvron, Julien Charrier, Christophe Knecht
The sense of touch is probably the most complex human sense, because it involves a very large number of sensory receptors spread over the whole body, and takes at the same time full advantage of the human nervous system complexity and power. Although this complexity enables us to perceive the world around us and interact with it, it is also a great source of variability when it comes to controlling the quality of products in a manufacturing environment. Indeed, human subjectivity and preferences, as well as the level of cognitive charge, directly influence the performance of a controller, thus impacting the resulting quality of accepted products, as well as the related economical costs and costumer satisfaction level. We address this issue through three propositions that aim at managing the sense of touch in the context of industrial quality control. (1) The proposed formalization of haptic sensations simplifies the description vocabulary and avoids confusing sensations mix. Nine generic elementary sensations were extracted from a semantic analysis of usual descriptors, and used to define generic haptic anomalies. (2) The modelling of the influence of exploration conditions on haptic perception enables to set common and coherent ways to touch objects. (3) The structuring of the control process is inspired by previous studies in visual quality control. It was applied to the sense of touch and adapted to its specificities. In particular, an intelligent decision method based on the exploration model is proposed, to improve the performance of quality control, and reduce the cognitive charge of controllers for them to focus on perceived sensations. This paper presents the solutions proposed in order to solve the problems associated with the use of the human somatosensory system as a measurement system, while minimizing the variability of quality control decisions.
{"title":"A haptic quality control method based on the human somatosensory system","authors":"Bruno Albert, J. Maire, Maurice Pillet, C. Zanni-Merk, F. D. Beuvron, Julien Charrier, Christophe Knecht","doi":"10.1109/CIVEMSA.2017.7995315","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2017.7995315","url":null,"abstract":"The sense of touch is probably the most complex human sense, because it involves a very large number of sensory receptors spread over the whole body, and takes at the same time full advantage of the human nervous system complexity and power. Although this complexity enables us to perceive the world around us and interact with it, it is also a great source of variability when it comes to controlling the quality of products in a manufacturing environment. Indeed, human subjectivity and preferences, as well as the level of cognitive charge, directly influence the performance of a controller, thus impacting the resulting quality of accepted products, as well as the related economical costs and costumer satisfaction level. We address this issue through three propositions that aim at managing the sense of touch in the context of industrial quality control. (1) The proposed formalization of haptic sensations simplifies the description vocabulary and avoids confusing sensations mix. Nine generic elementary sensations were extracted from a semantic analysis of usual descriptors, and used to define generic haptic anomalies. (2) The modelling of the influence of exploration conditions on haptic perception enables to set common and coherent ways to touch objects. (3) The structuring of the control process is inspired by previous studies in visual quality control. It was applied to the sense of touch and adapted to its specificities. In particular, an intelligent decision method based on the exploration model is proposed, to improve the performance of quality control, and reduce the cognitive charge of controllers for them to focus on perceived sensations. This paper presents the solutions proposed in order to solve the problems associated with the use of the human somatosensory system as a measurement system, while minimizing the variability of quality control decisions.","PeriodicalId":123360,"journal":{"name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115827566","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 : 2017-06-01DOI: 10.1109/CIVEMSA.2017.7995319
A. Trad, D. Kalpić
A complex Business Transformation Project (BTP) needs a qualified Business Transformation Manager (BTM) to manage the complex implementation phase of the BTP. A BTM must be assisted with the optimal framework for a plethora of BTP's types of problems and phases. Tooling support for such projects is one of the main focuses of the business transformation research project that started in the year 2010. In this research paper, the authors try to prove that the BTM must be supported by a framework to help him or her (in further text for simplicity “he”) in business engineering problems solving and to enhance his knowledge that is mainly based on: a) real-time business transformation issues; b) various technology fields interaction; c) building of decision making systems; and d) organizational engineering expertise. The authors apply an adequate mixed research methodology, design and prototyping that is based on a real-world framework; used to build and assess this research subproject's Agnostic Implementation Environment (AIE) feasibility. The AIE is considered to be the research sub-project's implementation and its technical and managerial benefit. This current phase's objective is to offer a framework with AIE capacities. The implementation of this research and the proposed framework offer a neural networks reasoning module that supports an implementation environment that has to cope with complex BTPs. As result, it proposes the AIE concept.
{"title":"A neural networks portable and Agnostic Implementation Environment for Business Transformation Projects the framework","authors":"A. Trad, D. Kalpić","doi":"10.1109/CIVEMSA.2017.7995319","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2017.7995319","url":null,"abstract":"A complex Business Transformation Project (BTP) needs a qualified Business Transformation Manager (BTM) to manage the complex implementation phase of the BTP. A BTM must be assisted with the optimal framework for a plethora of BTP's types of problems and phases. Tooling support for such projects is one of the main focuses of the business transformation research project that started in the year 2010. In this research paper, the authors try to prove that the BTM must be supported by a framework to help him or her (in further text for simplicity “he”) in business engineering problems solving and to enhance his knowledge that is mainly based on: a) real-time business transformation issues; b) various technology fields interaction; c) building of decision making systems; and d) organizational engineering expertise. The authors apply an adequate mixed research methodology, design and prototyping that is based on a real-world framework; used to build and assess this research subproject's Agnostic Implementation Environment (AIE) feasibility. The AIE is considered to be the research sub-project's implementation and its technical and managerial benefit. This current phase's objective is to offer a framework with AIE capacities. The implementation of this research and the proposed framework offer a neural networks reasoning module that supports an implementation environment that has to cope with complex BTPs. As result, it proposes the AIE concept.","PeriodicalId":123360,"journal":{"name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126037387","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 : 2017-06-01DOI: 10.1109/CIVEMSA.2017.7995293
F. Tilaro, B. Bradu, M. Gonzalez-Berges, M. Roshchin
The CERN's accelerator complex and its experiments rely on the proper functioning of a multitude of heterogeneous industrial control systems. Over 600 industrial control systems with more than 40 million sensors, actuators and control objects store more than 100 terabytes of data per year (the volume of generated data is much more). This paper describes a mathematical approach to monitor online a multitude of sensors/actuators and automatically detect signals oscillations. In order to achieve it the presented method combines both expert knowledge and spectrum analysis. Some results, obtained by the application of this analysis to the CERN cryogenics system, are presented showing multiple plant-wide oscillations. Finally the paper briefly describes the deployment of Spark and Hadoop platform into the CERN industrial environment to deal with huge datasets and to spread the computational load of the analysis across multiple hosts.
{"title":"An expert knowledge based methodology for online detection of signal oscillations","authors":"F. Tilaro, B. Bradu, M. Gonzalez-Berges, M. Roshchin","doi":"10.1109/CIVEMSA.2017.7995293","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2017.7995293","url":null,"abstract":"The CERN's accelerator complex and its experiments rely on the proper functioning of a multitude of heterogeneous industrial control systems. Over 600 industrial control systems with more than 40 million sensors, actuators and control objects store more than 100 terabytes of data per year (the volume of generated data is much more). This paper describes a mathematical approach to monitor online a multitude of sensors/actuators and automatically detect signals oscillations. In order to achieve it the presented method combines both expert knowledge and spectrum analysis. Some results, obtained by the application of this analysis to the CERN cryogenics system, are presented showing multiple plant-wide oscillations. Finally the paper briefly describes the deployment of Spark and Hadoop platform into the CERN industrial environment to deal with huge datasets and to spread the computational load of the analysis across multiple hosts.","PeriodicalId":123360,"journal":{"name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132741421","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 : 2017-06-01DOI: 10.1109/CIVEMSA.2017.7995331
C. Beisl, Alexandre Evsukoff, F. Miranda, L. Landau
The Amazon is a region characterized by ecologically complex environments subject to constant and rapid seasonal changes. In Central Amazonia, the seasonal differences in water level caused by flooding changes the landscape and require the production of one sensitivity maps for each season: dry, full ebb and flow. Potential applications of the the Synthetic Aperture Radar (SAR) system on board the JERS-1 satellite for environmental protection in Amazonia include understanding and management of flood hazards. This presents a methodology to compute a multitemporal environmental sensitivity to oil spill map in regional scale, according to the change in flooding conditions. The differences of image patterns from low flow to high flow derives the classes of change, which represent the types of landscape change within half hydrological cycle. A fuzzy system is implemented within a geographic information system (GIS) to map oil-sensitive environments for environmental risk assessment along the Solimões River oil transportation route, Western Amazonia, Brazil.
{"title":"Environmental sensitivity map of Solimões River basin using SAR images and fuzzy modeling","authors":"C. Beisl, Alexandre Evsukoff, F. Miranda, L. Landau","doi":"10.1109/CIVEMSA.2017.7995331","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2017.7995331","url":null,"abstract":"The Amazon is a region characterized by ecologically complex environments subject to constant and rapid seasonal changes. In Central Amazonia, the seasonal differences in water level caused by flooding changes the landscape and require the production of one sensitivity maps for each season: dry, full ebb and flow. Potential applications of the the Synthetic Aperture Radar (SAR) system on board the JERS-1 satellite for environmental protection in Amazonia include understanding and management of flood hazards. This presents a methodology to compute a multitemporal environmental sensitivity to oil spill map in regional scale, according to the change in flooding conditions. The differences of image patterns from low flow to high flow derives the classes of change, which represent the types of landscape change within half hydrological cycle. A fuzzy system is implemented within a geographic information system (GIS) to map oil-sensitive environments for environmental risk assessment along the Solimões River oil transportation route, Western Amazonia, Brazil.","PeriodicalId":123360,"journal":{"name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133401097","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 : 2017-06-01DOI: 10.1109/CIVEMSA.2017.7995299
R. Dapoigny, P. Barlatier
The imprecision of natural language such as X is before Y does not provide any information about the distance between X and Y. The human's way of reasoning often uses incomplete knowledge, and any formalization of natural language should be able to produce qualitative reasoning. For that purpose, we introduce a modeling for specifying cognitive geometry. More precisely, in this paper we tackle the problem of geometric reasoning using a formal representation that is built from an appropriate spatial theory which departs from classical geometry in many points. Instead of basic spatial entities of ordinary geometry such as points, lines and surfaces, we rather consider physical three-dimensional objects used to perceive space based on pointless geometry. Based on Tarski's mereogeometry of solids, we explain how the interpretation of mereogeometry within Lesniewski's framework of mereology leads to a coherent and simplified framework in which qualitative representations (e.g., solids, balls, concentricity, equidistance, etc.) can be expressed.
{"title":"Towards a qualitative representation for specifying natural language","authors":"R. Dapoigny, P. Barlatier","doi":"10.1109/CIVEMSA.2017.7995299","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2017.7995299","url":null,"abstract":"The imprecision of natural language such as X is before Y does not provide any information about the distance between X and Y. The human's way of reasoning often uses incomplete knowledge, and any formalization of natural language should be able to produce qualitative reasoning. For that purpose, we introduce a modeling for specifying cognitive geometry. More precisely, in this paper we tackle the problem of geometric reasoning using a formal representation that is built from an appropriate spatial theory which departs from classical geometry in many points. Instead of basic spatial entities of ordinary geometry such as points, lines and surfaces, we rather consider physical three-dimensional objects used to perceive space based on pointless geometry. Based on Tarski's mereogeometry of solids, we explain how the interpretation of mereogeometry within Lesniewski's framework of mereology leads to a coherent and simplified framework in which qualitative representations (e.g., solids, balls, concentricity, equidistance, etc.) can be expressed.","PeriodicalId":123360,"journal":{"name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134050914","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 : 2017-06-01DOI: 10.1109/CIVEMSA.2017.7995312
Alain Boyer, P. Payeur
This paper presents a series of enhancements to a color-coded structured light range sensor that increases the adaptability to complex and unconstrained scenes. First, the projected pattern is made more visible on colored objects by replacing the unique colored pattern with time-multiplexed pseudo-color channels. Second, an exposure fusion algorithm is used when acquiring images to allow the detection of regions with low and high reflectance characteristics. Finally, the focus planes of the scene are automatically detected and imaged separately, enlarging the sensor's depth of field. Each improvement is detailed and integrated into a custom acquisition procedure. Experimental results demonstrate the improved robustness of the structured light range sensor and validate the proposed design.
{"title":"Enhancing structured light range imaging by adaptation of color, exposure and focus","authors":"Alain Boyer, P. Payeur","doi":"10.1109/CIVEMSA.2017.7995312","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2017.7995312","url":null,"abstract":"This paper presents a series of enhancements to a color-coded structured light range sensor that increases the adaptability to complex and unconstrained scenes. First, the projected pattern is made more visible on colored objects by replacing the unique colored pattern with time-multiplexed pseudo-color channels. Second, an exposure fusion algorithm is used when acquiring images to allow the detection of regions with low and high reflectance characteristics. Finally, the focus planes of the scene are automatically detected and imaged separately, enlarging the sensor's depth of field. Each improvement is detailed and integrated into a custom acquisition procedure. Experimental results demonstrate the improved robustness of the structured light range sensor and validate the proposed design.","PeriodicalId":123360,"journal":{"name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132628301","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 : 2017-06-01DOI: 10.1109/CIVEMSA.2017.7995322
Hanna Zini, S. Bernoussi
The hybrid flow shop scheduling with multiprocessor task (HFSMT) is one of extremely difficult problems in combinatorial optimization. The problem finds various applications in manufacturing and industrial systems such as, manufacturing textile and electronics industries. In this paper, a discrete harmony search algorithm is proposed to solve the HFSMT problem with the objective to minimize the makespan. Computational experiments are carried out based on well-known benchmarks. The obtained results and the comparisons show the effectiveness of the proposed algorithm.
{"title":"Minimizing makespan in hybrid flow shop scheduling with multiprocessor task problems using a discrete harmony search","authors":"Hanna Zini, S. Bernoussi","doi":"10.1109/CIVEMSA.2017.7995322","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2017.7995322","url":null,"abstract":"The hybrid flow shop scheduling with multiprocessor task (HFSMT) is one of extremely difficult problems in combinatorial optimization. The problem finds various applications in manufacturing and industrial systems such as, manufacturing textile and electronics industries. In this paper, a discrete harmony search algorithm is proposed to solve the HFSMT problem with the objective to minimize the makespan. Computational experiments are carried out based on well-known benchmarks. The obtained results and the comparisons show the effectiveness of the proposed algorithm.","PeriodicalId":123360,"journal":{"name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122540274","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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