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Partially Occluded Pedestrian Classification using Part-based Classifiers and Restricted Boltzmann Machine Model

Partially Occluded Pedestrian Classification using Part-base...

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international IEEE conference on Intelligent Transportation Systems

作者： Saleh Aly Loay Hassan Alaa Sagheer Hiroshi Murase Faculty of Engineering Department of Electrical Engineering Aswan University Faculty of Science Department of Mathematics Aswan University Graduate School of Information Science Department of Media Science Nagoya University

ISBN: (纸本)9781479929153

One of the main challenges in pedestrian detection is occlusion. this paper presents a new method for pedestrian classification with partial occlusion handling. the proposed system involves a set of component-based classifiers trained on features derived from non-occluded dataset. the scores of all component classifiers are statistically modeled to estimate the final score of pedestrian. A generative stochastic neural network model namely Restricted Boltzmann Machine (RBM) is learned to estimate the posterior probability of pedestrian given its components scores. the training data used to train RBM model is artificially generated occluded data which simulate real occlusion conditions appeared in pedestrians. Experimental results on real-world dataset, with both partially occluded and non-occluded data shows the effectiveness of the proposed method.

关键词： Detectors Training Support vector machines Training data Data models Feature extraction Stochastic processes

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Solving the Dependency Conflict of Java components: A Comparative Empirical Analysis

Solving the Dependency Conflict of Java Components: A Compar...

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IEEE international conference on Big Data Security on Cloud (BigDataSecurity), High Performance and Smart Computing (HPSC) and Intelligent Data and Security (IDS)

作者： Yongzhi Wang Chengli Xing Jinan Sun Shikun Zhang Sisi Xuanyuan Long Zhang National Engineering Research Center For Software Engineering Peking University Beijing China SiChuan Tianfu Bank Co. Ltd. Nanchong China Department of Science & Technology Shandong Province Ji’nan China Shandong Antlinker Network Technology Co. Ltd. Ji’nan China

ISBN: (数字)9781728168739

ISBN: (纸本)9781728168746

Java components' reference to the complex dependencies brought by third-party libraries may cause multiple versions of the libraries to exist. When this happens, the JVM will only load one of these versions, which may cause a runtime exception. In many cases, it is difficult to troubleshoot exactly what is going wrong, and sometimes it takes a lot of trouble to solve such problems, even for people with rich experience. this article discusses several common methods for resolving dependency conflicts, explains their principles, summarizes their advantages and disadvantages, and puts forward comments for empirical solution.

关键词： software component dependency conflict third party library Java Java programming language Libraries Conflict (Psychology) Java Virtual Machine (JVM) DEPENDENCE wealth, wealthy

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EigenGRF: Layer-Wise Eigen-Learning for Controllable generative Radiance Fields 29th

EigenGRF: Layer-Wise Eigen-Learning for Controllable Generat...

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29th international conference on Neural Information Processing

作者： Yang, Zhiyuan Zhang, Qingfu City Univ Hong Kong Dept Comp Sci Kowloon Tong Hong Kong Peoples R China

ISBN: (纸本)9783031301049;9783031301056

Neural Radiance Fields (NeRF) learn a model for the high-quality 3D-view reconstruction of a single object. Category-specific representation makes it possible to generalize to the reconstruction and even generation of multiple objects. Existing efforts mainly focus on the reconstruction performance including speed and quality. the steerability of generation processes has not been well studied while semantic attributes still exist in 3D neural representations. Inspired by interpreting underlying factors of GANs, this paper proposes a novel method named Eigen-GRF to disentangle the latent semantic subspace in an unsupervised manner. By learning a set of eigenbasis, we can readily control the process and the result of object synthesis accordingly. Concretely, our method brings a mapping network to NeRF by conditioning on a FiLM-SIREN layer. then we use a component analysis method for discovering steerable latent subspaces. Our experiments reveal that the proposed method is powerful for the 3D-aware generation with steerability by both synthetic and real-world datasets.

关键词： Neural Radiance Fields generative Model Disentanglement Learning 3D-Aware Generation

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Semantic Segmentation of Remote Sensing Images Based on Improved Deeplabv3+ Network

Semantic Segmentation of Remote Sensing Images Based on Impr...

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international conference on Communications, Information System and Computer engineering (CISCE)

作者： Yuqi Zeng Wenzao Shi Jiewei Wu Yuchen Zheng Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application Fujian Normal University Fuzhou P. R. China Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education Fujian Provincial Key Laboratory of Photonics Technology Fujian Normal University Fuzhou P. R. China College of Photonic and Electronic Engineering Fujian Normal University Fuzhou P. R. China

ISBN: (数字)9798350353174

ISBN: (纸本)9798350353181

In the context of rapid development, remote sensing imaging technology is widely used in environmental monitoring, disaster warning and other fields. As an important component of remote sensing image processing, semantic segmentation of remote sensing images is also highly valued. Traditional remote sensing image segmentation methods are mostly based on manual features and simple classifiers, but they are limited by the complexity, diversity, and scale changes of remote sensing images, making it difficult for these methods to achieve ideal results. this article proposes a method for semantic segmentation of remote sensing images based on an improved Deeplabv3+ network. Based on the Keras deep learning framework [1] , a convolutional neural network based on Deeplabv3+ [2] [3] is designed, and many small modifications are made to the network to improve the segmentation results. Comparative experiments were conducted between the proposed method and common semantic segmentation methods [4]–[5] , and the experimental results showed that the proposed method has relatively excellent mIOU and Kappa coefficients, and has excellent semantic segmentation performance, making it suitable for training on small-scale datasets. Meanwhile, due to the high bias of target categories in small-scale datasets, the classification accuracy for certain categories is relatively low. Further research is needed, such as using GAN methods to enhance segmentation accuracy.

关键词： Training Deep learning Accuracy Semantic segmentation Manuals generative adversarial networks Sensors

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Certification of Ada real time executives for safety critical applications 12th

Certification of Ada real time executives for safety critica...

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12th Ada-Europe international conference, 1993

作者： Brygier, Jacques Richard-Foy, Marc Alsys 29 Avenue Lucien-René Duchesne La Celle Saint Cloud78170 France

ISBN: (纸本)9783540568025

the certification procedures apply to a full equipment including both hardware and software components. the issue is that the equipment supplier must integrate various components coming from separate sources. In particular, the Ada Run Time System is embedded in the equipment as any other application component. this leads to two major requirements: a. the Ada Run Time System must be a glass box b. unused run-time services must be eliminated from the embedded components. the first requirement comes from the civil aviation procedures DO 178A [1] and the second is a consequence of the need to proof the system. this can lead to eliminate some unpredictible or unsafe Ada language features. the criticity of the system consists of three levels: critical, essential and non essential. the report ARINC 613 (from the Airlines Electronic engineering Committee) surveys the Ada language and provides a list of features not to be used in avionics embedded software at least for the two first levels. Two solutions are proposed: 1. the SMall Ada Run Time System (SMART) which meets such requirements for an Ada subset. this Run Time System does not support tasking, exception and dynamic memory allocation except for global objects or fixed size collections. We show how calls to this reduced Run Time System can be generated by the standard Ada compilation system. 2. the alternative Run Time System called C-SMART which is an approach used by Boeing with the cooperation of Alsys for the B777 project. C-SMART shares most of the SMART functionalities. Two major differences exist: it requires a devoted Ada compilation system and Alsys provides the end-user with the test plan of C-SMART which consists also of unitary tests set. © Springer-Verlag Berlin Heidelberg 1993.

关键词： C (programming language)

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Domain Specific Case Tool for ICT-Enabled Service Design

Domain Specific Case Tool for ICT-Enabled Service Design

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Hawaii international conference on System Sciences

作者： Tuure Tuunanen Michael Przybilski University of Jyvaskyla University of Helsinki

ISBN: (纸本)9781479925056

One major problem in service design is the limited availability of information gathered during the development process. In particular, information on end-user requirements is difficult for designers, developers, and maintainers to access. Here, we provide a mechanism that supports the gathering and modeling of various types of information throughout the service and software development life cycle. As various existing tools focus on a particular part of the life cycle, essential information is not available, or it is more difficult to obtain in later stages. the linkage between information collected in the different stages is often lost. the implemented tool support enables the modeling of requirements;the abstraction of these requirements in the form of the required system functionalities, which can also be modeled;and the connection with component-based software engineering to support the design of ICT-enabled services.

关键词： software development life cycle information-type Life cycle tool cases PROCESS DEVELOPMENT Modeling harvesting User needs Not Available object oriented programming

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A LabVIEW program for the stimulation of a vergence open-loop response

A LabVIEW program for the stimulation of a vergence open-loo...

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Annual Northeast Bioengineering conference

作者： A.P. Daftari T.L. Alvarez F.B. Chua J.L. Semmlow C. Pedrono Department of Biomedical Engineering New Jersey Institute of Technology Newark NJ Department of Biomedical Engineering New Jersey Institute of Technology Newark NJ USA Depart of Biomedical Engineering Rutgers University New Brunswick NJ Fssilor International S. A. Saint Maur Saint Maur des Fossés France

the vergence oculomotor system is used in viewing objects moving in depth, such as when a baseball player tracks a ball moving towards him. Based on the dual mode theory it is composed of two components; a fast preprogrammed initiating component and a slow feedback-controlled sustaining component. the initiating component is described using open-loop control and the sustaining component is described as a closed-loop feedback control system. Previously, several languages have been utilized to develop programs to study and isolate the open-loop portion of vergence eye movements. Presenting a subject with a stimulus, which repetitively provokes an open-loop response, has been speculated to cause stronger adaptation in the vergence system . this study utilizes Lab VIEW 6i in developing a program capable of real-time experimentation to study the open-loop portion of vergence eye movements. LabVIEW offers many options to the programmer and operator with a user-friendly interface for program development as well as an open architecture, allowing flexibility for future studies. this research validated that LabVIEW can be used for open-loop experimentation through a comparison proving that responses obtained from this code are similar to data published in the literature.

关键词： Eyes Biomedical engineering Feedback control Target tracking Feeds Voltage Surgery Open loop systems programming profession Retina

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Learning 3D LiDAR Perception Models for Self-Aware Autonomous Systems

Learning 3D LiDAR Perception Models for Self-Aware Autonomou...

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international conference on Information Fusion

作者： Saleemullah Memon Ali Krayani Pamela Zontone Lucio Marcenaro David Martin Gomez Carlo Regazzoni Department of Engineering and Naval Architecture (DITEN) University of Genova Italy Intelligent Systems Lab University Carlos III de Madrid Spain

ISBN: (数字)9781737749769

ISBN: (纸本)9798350371420

Intelligent transportation systems (ITSs) provide a paradigm change in perceiving and interacting with transportation networks, leading to enhanced levels of safety, sustainability, and efficiency. Vehicular-to-everything (V2X) communication is the core component in the ITSs. the proprioceptive and exteroceptive sensors allow these vehicles to be aware of the surrounding environment and respond to emergencies by utilizing their abilities to reach a high level of self-awareness. In this paper, we propose a self-awareness approach to learn a generative dynamic Bayesian network (G-DBN) from the real-time LiDAR perception. Without reducing the dimensionality, we perform offline training and online testing phases on the three-dimensional (3D) point clouds. In the offline training phase, initially, the raw point clouds are preprocessed using a joint probabilistic data association filter (JPDAF) to obtain the 3D tracks of the multiple vehicles in space. then, we perform an unsupervised clustering on all the generalized states (GSs) containing positions and velocities (a 6D vector) by considering the growing neural gas (GNG) technique, thus achieving a trained model from the 3D LiDAR point clouds. In the online testing phase, the high-dimensional Markov jump particle filter (HD-MJPF) utilizes the G-DBN’s probabilistic information to predict the positions of multiple vehicles and to detect the abnormalities at the discrete and continuous levels in normal and abnormal scenarios. Our proposed approach is useful for learning high-dimensional generative models and provides a way to meet the current curse of dimensionality challenges, that machine learning models are suffering.

关键词： Point cloud compression Training Solid modeling three-dimensional displays Laser radar Transportation Probabilistic logic Bayes methods Vehicle dynamics Testing

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GENERATING STYLISTICALLY CONSISTENT PRODUCT FORM DESIGNS USING INTERACTIVE EVOLUTIONARY PARAMETRIC SHAPE GRAMMARS

GENERATING STYLISTICALLY CONSISTENT PRODUCT FORM DESIGNS USI...

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the 7th international conference on Computer-Aided Industrial Design and Conceptual Design (CAID&CD’2006)

作者： Ho Cheong Lee Design Technology Research Centre School of Design The Hong Kong Polytechnic University

Interactive grammar based design systems (IGBDS) are capable of generating large numbers of alternative designs. Prior to the application of IGBDS, a set of rules should be defined based on the theoretical theories and practical experiences in designing the objects, or by analysing the existing sets of objects. However, due to the time constraints in developing theoretical theories, gaining the practical skills of experts is of qualitative in nature and stylistically inconsistent designs to be analysed, it is difficult to systematically derive a set of shape grammar rules in generating designs which fulfil specific requirements. To address this problem, this paper presents an IGBDS enhanced by evolutionary computing to evolve a set of grammar rules for product form design. In this research, the forms of a product are analysed to derive shape features in the form of shape grammar (SG) rules. the rules are then encoded as the code scripts of a genetic algorithm (GA) representation in order to generate new shape grammar rules. the parameters in GA representation are modified by genetic programming (GP) which is regulated by control planning strategies named "GP-GA-SG". the "GP-GA-SG" control planning strategy first defines ways on how the control variables in GP should modify the variables in GA representation. the "GP-GA-SG" control planning strategy then defines ways on how the control variables in GA should modify the variables in SG representation. the SG rules modified by the GA variables define a new combination of shape features for alternative designs. In this way, traditional shape grammar is extended to an interactive context in which generative and evolutionary computing methods are combined. Both product component design as well as product configuration are supported in this framework. In this paper, we describe how this framework is formulated and discuss its potentials in supporting product design, with initial examples showing how the system is intended

关键词： evolutionary shape grammars, product form design, genetic programming, genetic algorithm

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Development of a Wireless Semi-Autonomous Gas Contaminant Detection Robot Using Raspberry Pi

Development of a Wireless Semi-Autonomous Gas Contaminant De...

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international conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)

作者： Paolo Rafael V. Meris Mark Christian E. Manuel Gian Marko C. Agustin Chris Dane B. Bernal Jennifer C. Dela Cruz Roderick C. Tud School of Mechanical and Manufacturing Engineering 2 Mapúa University Manila Philippines School of Electrical Electronics and Computer Engineering Mapúa University Manila Philippines

ISBN: (纸本)9781665401685

this paper presents the development of a robot that can be controlled semi-autonomously and has the capability to detect toxic and combustible gases. the purpose of this research is to develop a semi-autonomous robot that can detect gases that are harmful to human workers. the robot is designed to be able to function properly with little human intervention. It has the ability to detect specified types of gases inside a confined space and move on its own to cover the specified operating area. the study is composed of component designing, programming, calibration, development of the user interface, fabrication, initial gas concentration test, mobility tests, and actual tests. the design of this robot is an improvement of the previous model. the mobility and semi-autonomous function of the robot is programmed using Raspberry Pi microcomputer and the sensors are programmed using the Arduino microcontroller. the gases that the robot can detect are alcohol (C2H6O), benzene (C6H6), hydrogen (H2), carbon monoxide (CO), LPG, and methane (CH4). the sensors that were used are MQ3 for alcohol and benzene, MQ7 for hydrogen and carbon monoxide, and MQ9 for methane and LPG. the results of the tests showed that the robot can operate semi-autonomously and in an omnidirectional manner easily. the actual testing procedures were done inside a confined parking area, printing shop, and LPG storage area.

关键词： Wireless communication Methane Wireless sensor networks Hydrogen User interfaces Robot sensing systems Sensors

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