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Digital Twins and Parallel Intelligence (DTPI), IEEE international conference on

作者： Jingyi Li Hui Zhang Yidong Li School of Computer and Information Technology Beijing Jiaotong University Beijing China

Object detection plays an important role in intelligent transportation systems, especially due to the rise of autonomous vehicles and smart traffic management. Although object detection techniques in traffic scenes have been studied for decades, it is still challenging in addressing long-tail problems under complex and extreme conditions. In this paper, we first introduce long-tail problems in object detection for intelligent transportation systems and investigate the usage of cross-domain approaches, which are widely leveraged in dealing with these problems. Then we describe a general parallel theory based framework for enhancing the effectiveness of computer vision tasks in complex scenes. Combining ACP methodology with cross-domain object detection, we propose a novel architecture to perform long-tail problems concerned object detection by simulating the real transportation scenes with rare situations. Artificial system is constructed to simulate and represent longtail situations, making it possible to collect and annotate specific and available diversified datasets. Computational experiments are built on Graph Convolutional Network (GCN) based cross-domain detection method to learn and evaluate vision models from limited real samples, then improve the performance of detection tasks in both artificial and real systems. Parallel execution can be used to optimize the whole architecture and supports the proposed work to be a routine practice of visual computing for intelligent transportation systems.

关键词： Visualization computer vision Computational modeling Digital twin conferences Transportation Object detection

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Accelerating Convergence of Score-Based Diffusion Models, Provably 41

Accelerating Convergence of Score-Based Diffusion Models, Pr...

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41st international conference on Machine Learning, ICML 2024

作者： Li, Gen Huang, Yu Efimov, Timofey Wei, Yuting Chi, Yuejie Chen, Yuxin Department of Statistics The Chinese University of Hong Kong Hong Kong Department of Statistics and Data Science Wharton School University of Pennsylvania PhiladelphiaPA19104 United States Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA15213 United States

Score-based diffusion models, while achieving remarkable empirical performance, often suffer from low sampling speed, due to extensive function evaluations needed during the sampling phase. Despite a flurry of recent activities towards speeding up diffusion generative modeling in practice, theoretical underpinnings for acceleration techniques remain severely limited. In this paper, we design novel training-free algorithms to accelerate popular deterministic (i.e., DDIM) and stochastic (i.e., DDPM) samplers. Our accelerated deterministic sampler converges at a rate O(T12) with T the number of steps, improving upon the O(T1) rate for the DDIM sampler;and our accelerated stochastic sampler converges at a rate O(T1), outperforming the rate O(√1/T) for the DDPM sampler. The design of our algorithms leverages insights from higher-order approximation, and shares similar intuitions as popular high-order ODE solvers like the DPM-Solver-2. Our theory accommodates 2-accurate score estimates, and does not require log-concavity or smoothness on the target distribution. Copyright 2024 by the author(s)

关键词： stochastic systems

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Rough Sets and Intelligent systems Paradigms: Second international conference, RSEISP 2014, Held as Part of JRS 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings 1

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丛书名： Lecture Notes in computer Science 8537 Lecture Notes in Artificial Intelligence

2014年

作者： Marzena Kryszkiewicz, Chris Cornelis, Davide Ciucci, Jesús Medina-Moreno, Hiroshi Motoda, Zbigniew W. Raś (eds.)

ISBN: (数字)9783319087290

ISBN: (纸本)9783319087283;9783319087290

This book constitutes the refereed proceedings of the 23rd Australasian Joint conference on Rough Sets and Intelligent systems Paradigms, RSEISP 2014, held in Granada and Madrid, Spain, in July 2014. RSEISP 2014 was held along with the 9th international conference on Rough Sets and Current Trends in Computing, RSCTC 2014, as a major part of the 2014 Joint Rough Set Symposium, JRS 2014. JRS 2014 received 40 revised full papers and 37 revised short papers which were carefully reviewed and selected from 120 submissions and presented in two volumes. This volume contains the papers accepted for the conference RSEISP 2014, as well as the three invited papers presented at the conference. The papers are organized in topical sections on plenary lecture and tutorial papers; foundations of rough set theory; granular computing and covering-based rough sets; applications of rough sets; induction of decision rules - theory and practice; knowledge discovery; spatial data analysis and spatial databases; information extraction from images.

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Finding ethical principles and practical guidelines for the controlled flow of patient data

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METHODS OF INFORMATION IN MEDICINE 1999年第4-5期38卷 345-349页

作者： Rigby, M Draper, R Hamilton, I Univ Keele Ctr Hlth Planning & Management Keele ST5 5BG Staffs England Hosp Order St John God Stillorgan County Dublin Ireland

The application of computing to health care, and particularly to electronic patient records, offers major benefits but raises issues of confidentiality and of potential misuse. Sound access control mechanisms are therefore important, but most models focus upon informed consent by the data subject. This raises challenges in mental health care, and for other vulnerable patients including those comatose, and the severely ill and temporarily distressed. Published algorithms which are used to control record access within a controlled environment therefore have value, as a means of ensuring an open and informed, yet ethically sou nd, solution. The paper describes the background and issues, and gives an example of such an algorithm.

关键词： ethics electronic patient records duty of care confidentiality

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Blockchain - A Deployment Mechanism for IoT Based Security 1

Blockchain - A Deployment Mechanism for IoT Based Security

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1st international conference on Computational Intelligence, Communication Technology and Networking, CICTN 2023

作者： Kant, Ravi Sharma, Shashank Vikas, Vikas Chaudhary, Sachin Jain, Animesh Kumar Sharma, Kewal Krishan Iimt Engineering College Computer Science and Engineering Department Meerut India Iimt University School of Computer Science & Applications Meerut India

ISBN: (纸本)9798350338027

Implementation of IoT domain invites tremendous attacking opportunities which demands end to - end security mechanism. Applications related to the domain of IoT varies from critical applications to normal business-oriented applications like Intelligent Transportation systems, Smart Grid, Video Surveillance, Banking, Logistics, Insurance etc. A special support in terms of security must be required for critical applications as well as normal business applications. Large amount of security mechanisms implemented time to time. Blockchain technology proves to be useful in providing security to several applications based on IoT by following defense - in - depth or castle approach. Blockchain can be defined as a database for storing processed data in a sequential manner. Such data has been shared among participating users. Information can be stored on a public ledger which can't be updated. Every device in the corresponding network must retain the same ledger. Through the medium of this paper, we try to highlight importance of Blockchain Mechanism in IoT environment and also point out that the concept of Blockchain mechanism is only concerned with security. © 2023 IEEE.

关键词： Blockchain

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Towards a common benchmark in WiMAX environment

Towards a common benchmark in WiMAX environment

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international conference on Wireless Communication, Vehicular Technology, Information theory and Aerospace and Electronic systems Technology (Wireless VITAE)

作者： Lukasz Chrost Agnieszka Brachman Institute of Informatics Silesian University of Technology Gliwice Poland

ISBN: (纸本)9781424440665

Recently Andrew et al. proposed the TCP evaluation suite to provide a common test suite for researchers designing new TCP extensions and AQM mechanisms. It defines network topologies, simulation scenarios i.e. traffic characteristic as well as evaluation parameters to provide a common testbed for all new enhancements. The presented remarks determine the essential features of a simulation environment for different solutions in common networks. Following the introduction of a standardized TCP benchmark we propose several improvements to the TCP-targeted test suite which allow WiMAX environment evaluation. Some specific implementation issues can significantly influence the efficiency of the applied solutions. For instance the current WiMAX technology is based on time division duplex (TDD) and the size of TDD burst influences TCP protocol efficiency. Moreover, the scheduling mechanism implemented in a base station (BS) and in subscriber stations (SS) should provide quality of service (QoS) which influences overall network performance. Also the bidirectional traffic requires an efficient and adequate scheduling mechanism. This paper aims at proposing requirements for a common WiMAX evaluation suite. The authors depict the limitations of the mentioned TCP benchmark and suggest the basic WiMAX topology as well as the scenarios and the output parameters that allow comparing: TCP protocols, scheduling algorithms and QoS requirements fulfillment in a simulator. Moreover we point out the comparison criteria for particular aspects of WiMAX technologies.

关键词： WiMAX Quality of service Scheduling algorithm Network topology NIst Routing protocols Wireless application protocol computer networks Benchmark testing Telecommunication traffic

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New key tree management protocol for the efficiency of storage and computation time in secure multicast communication

New key tree management protocol for the efficiency of stora...

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international conference on Wireless Communication, Vehicular Technology, Information theory and Aerospace and Electronic systems Technology (Wireless VITAE)

作者： Dong-Hyun Je Seung-Woo Seo School of Electrical Engineering and Computer Science Seoul National University South Korea

A group key management is essential method guaranteeing of data confidentiality and integrity in secure multicast communication. For secure multicast, group key management schemes have focused on communication cost, i.e., the number of update messages, to efficiently use bandwidth. To reduce the communication cost, many group key management schemes adopt a key tree structure. But, to adopt a key tree structure, a more powerful capability is needed, as a tradeoff, to store various kinds of keys and to execute several cryptography algorithms, i.e., storage cost and computation cost, respectively. But, it is important to simultaneously reduce not only the overhead of communication cost but also the overheads of storage and computation costs in mobile devices which have limited storage space and computation capability. In this paper, we propose a key tree structure, and a key tree management protocol for the efficiency of storage and computation costs. The proposed protocol adaptively controls the key tree structure not only to reduce the increase of the communication cost and but also to minimize the storage and the computation costs by using the limited resource information from each group members. We analyze the proposed protocol with three kinds of cost metrics and conduct simulations. The results show that the proposed protocol can save storage and computation costs. As a tradeoff, the proposed protocol requires a very small increment of communication cost if the ratio of leaving group members and the number of group members are moderately large in a batch rekeying interval.

关键词： Multicast protocols Secure storage Multicast communication Costs Computational efficiency Tree data structures Mobile communication Bandwidth Cryptography Mobile computing

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Multi-view discriminative manifold embedding for pattern classification

Advances in Intelligent Systems and Computing

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Advances in Intelligent systems and Computing 2018年 613卷 167-174页

作者： Wang, Xuezhen Guo, Yunxia Wang, Ziqiang Department of Information People’s Hospital of Zhengzhou Zhenghzou450053 China Department of Digestive People’s Hospital of Zhengzhou Zhengzhou450053 China Department of Computer Science Henan University of Technology Zhengzhou450001 China

ISBN: (纸本)9783319607436

While many dimensionality reduction algorithms have been proposed in recent years, most of them are designed for single view data and cannot cope with multi-view data directly. Dimensionality reduction algorithms in recent ten years, both in theory and application have great breakthrough. In the face of dozens, hundreds or even thousands of dimension by dimension reduction to the data from high dimensional space to a low dimensional space and extract the essential characteristics of low dimensional data. In many real-world pattern applications such as face recognition, multiple feature descriptors can provide complementary information in characterizing image from different viewpoints. Motivated by this concern, we propose a new multi-view discriminative manifold embedding (MDME) method for classification by making use of intra-class geometry and inter-class marginal information as well as complementary information of multiple feature representations. Experimental results on face recognition demonstrate the effectiveness of the proposed algorithm. © 2018, Springer international Publishing AG.

关键词： Face recognition

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A Review Paper on Automatic Number Plate Recognition using Machine Learning : An In-Depth Analysis of Machine Learning Techniques in Automatic Number Plate Recognition: Opportunities and Limitations 1

A Review Paper on Automatic Number Plate Recognition using M...

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1st international conference on Computational Intelligence, Communication Technology and Networking, CICTN 2023

作者： Prajapati, Rajat Kumar Bhardwaj, Yatharth Jain, Ritesh Kumar Kamal Kant Hiran, Dr. Geetanjali Institute of Technical Studies Department of Computer Science & Engineering Rajasthan Udaipur India Geetanjali Institute of Technical Studies Cse Rajasthan Udaipur India Symbiosis University of Applied Sciences Cse Madhya Pradesh Indore India

ISBN: (纸本)9798350338027

The recognition of license plates, known as Automatic Number Plate Recognition (ANPR), is an important topic in the fields of smart transportation systems and image recognition. ANPR has the potential to significantly improve traffic control and safety measures in urban areas. Its primary objective is to automatically detect and recognize the characters on vehicle license plates using modern technology and image processing techniques. With the rapid increase in the number of vehicles, ANPR has become a crucial tool for traffic control and management. In recent years, ANPR technology has advanced significantly, leading to the development of protocols such as OCR, which enables the recognition of license plate locations and allows traffic surveillance to address various issues, such as criminal investigations, toll collection, speed control, and parking management. ANPR systems play a vital role in traffic control and surveillance, and several systems have been developed to recognize license plates, each with its specific advantages. The key steps involved in an ANPR system are the precise localization of the number plate, segmentation, and recognition. This paper presents an efficient and layout-independent ANPR system that can accurately detect and recognize license plates, thus enhancing traffic control and surveillance measures. © 2023 IEEE.

关键词： Object detection

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Coordinating randomized policies for increasing security of agent systems

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INFORMATION TECHNOLOGY & MANAGEMENT 2009年第1期10卷 67-79页

作者： Paruchuri, Praveen Pearce, Jonathan P. Marecki, Janusz Tambe, Milind Ordonez, Fernando Kraus, Sarit Carnegie Mellon Univ Pittsburgh PA 15232 USA Knight Capital Grp Jersey City NJ USA IBM Res York NY USA Univ So Calif Los Angeles CA 90089 USA Bar Ilan Univ IL-52900 Ramat Gan Israel Univ Maryland College Pk MD 20742 USA

We consider the problem of providing decision support to a patrolling or security service in an adversarial domain. The idea is to create patrols that can achieve a high level of coverage or reward while taking into account the presence of an adversary. We assume that the adversary can learn or observe the patrolling strategy and use this to its advantage. We follow two different approaches depending on what is known about the adversary. If there is no information about the adversary we use a Markov Decision Process (MDP) to represent patrols and identify randomized solutions that minimize the information available to the adversary. This lead to the development of algorithms CRLP and BRLP, for policy randomization of MDPs. Second, when there is partial information about the adversary we decide on efficient patrols by solving a Bayesian-stackelberg games. Here, the leader decides first on a patrolling strategy and then an adversary, of possibly many adversary types, selects its best response for the given patrol. We provide two efficient MIP formulations named DOBSS and ASAP to solve this NP-hard problem. Our experimental results show the efficiency of these algorithms and illustrate how these techniques provide optimal and secure patrolling policies. We note that these models have been applied in practice, with DOBSS being at the heart of the ARMOR system that is currently deployed at the Los Angeles international airport (LAX) for randomizing checkpoints on the roadways entering the airport and canine patrol routes within the airport terminals.

关键词： Multiagent systems Decision theory Game theory Security Randomized policies

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