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Online Adaption of Motion Paths to Time-Varying Constraints using Homotopies

IFAC-PapersOnLine 2017年第1期50卷 3331-3337页

作者： Kontny D. Stursberg O. Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel Germany

This paper presents a method for optimal point-to-point control of linear discrete-time systems with time-varying non-convex state constraints, as arising for problems of avoiding moving obstacles. While common approaches like MPC with mixed-integer programming (MIP) can quickly become time-demanding, the presented approach efficiently computes circumventing near-optimal trajectories by using homotopy properties. In a first step, a range of offline selected trajectories is used to span a region of homotopic trajectories, for which the transitioning behavior between these is determined by semi-definite programming (SDP). The online part then determines with low computational effort a collision-free and near-optimal homotopic trajectory. The procedure maps the moving obstacles for relevant collision-critical time steps into the homotopy space, and determines a suitable trajectory by a tree-search of moderate size. The circumventing trajectories and the resulting computation times are illustrated by simulation. © 2017

关键词： constrained control model predictive control non-convex optimization obstacle avoidance optimal trajectory Real-time control

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N-Gram Representations for Comment Filtering

N-Gram Representations for Comment Filtering

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2015 Annual Research Conference of the South African Institute of computer Scientists and information Technologists, SAICSIT 2015

作者： Brand, Dirk Kroon, Steve Van Der Merwe, Brink Cleophas, Loek Computer Science Division Stellenbosch University South Africa Dept. of Computing Science Umeå University Dept. of Information Science Stellenbosch University South Africa

ISBN: (纸本)9781450336833

Accurate classifiers for short texts are valuable assets in many applications. Especially in online communities, where users contribute to content in the form of posts and com- ments, an effective way of automatically categorising posts proves highly valuable. This paper investigates the use of N- grams as features for short text classification, and compares it to manual feature design techniques that have been popu- lar in this domain. We find that the N-gram representations greatly outperform manual feature extraction techniques. © 2015 ACM.

关键词： Classification (of information)

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Predictive Modeling of Cryptocurrency Prices Using Machine Learning Algorithms 15

Predictive Modeling of Cryptocurrency Prices Using Machine L...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Mahmud, Tanjim Akter, Tahmina Chakma, Rishita Barua, Tikle Hossain, Mohammad Shahadat Andersson, Karl Dept. of Computer Science and Engineering Rangamati Science and Technology University Rangamati4500 Bangladesh Dept. of Computer Science and Engineering Port City International University Chittagong Bangladesh Dept. of Computer Science and Engineering University of Chittagong Chittagong4331 Bangladesh Cybersecurity Laboratory Luleå University of Technology Luleå97187 Sweden

ISBN: (纸本)9798350370249

Cryptocurrencies, such as Bitcoin, Binance, Ethereum, FTX, and XRP, are decentralized digital assets known for their volatile nature and potential as investment instruments. Accurate price prediction is crucial for informed investment decisions. This study explores the feasibility of various modeling techniques on diverse data structures and features for predicting the prices of these cryptocurrencies. We utilize daily and high-frequency price data to classify and predict prices using deep learning and machine learning techniques, including LSTM, Bi-LSTM, GRU, linear regression, and SGD regression. Our findings indicate that daily price projections achieve an accuracy of 0.99, outperforming more complex deep learning and machine learning models. Compared to benchmark results, our approach demonstrates superior performance, with the highest scores achieved by the applied statistical methods and advanced algorithms. This research highlights the effectiveness of deep learning and machine learning models in cryptocurrency price forecasting, offering a foundation for further exploration in the field and emphasizing the significance of sample size in predictive modeling. ©2024 IEEE.

关键词： Adversarial machine learning

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Cooperative-Stream Control Transmission Protocol (C-SCTP)

Cooperative-Stream Control Transmission Protocol (C-SCTP)

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2010 International computer Symposium, ICS 2010

作者： Huang, Chung-Ming Lin, Ming-Sian Lab. of Multimedia Mobile Networking Dept. of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan

ISBN: (纸本)9781424476404

More and more smart phones are equipped with the 3.5G and the Wi-Fi interfaces concurrently. Smart phones are able to share their 3.5G bandwidth for the other devices via the Wi-Fi connection. However, current technologies only allow one device to utilize the bandwidth provided from one Smart phone. In this paper, we propose Cooperative Stream Control Transmission Protocol (C-SCTP). C-SCTP enables one device to obtain the aggregated 3.5G bandwidth from multiple smart phones. C-SCTP adds the concept of transceiver to redirect packets. The simulation result shows that C-SCTP with four transceivers can have almost three times throughput than C-SCTP with one transceiver. ©2010 IEEE.

关键词： Bandwidth

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Resilient capacity-aware multicast based on overlay networks

Resilient capacity-aware multicast based on overlay networks

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25th IEEE International Conference on Distributed Computing Systems

作者： Zhang, Zhan Ghen, Shigang Ling, Yibei Chow, Randy Dept. of Computer and Information Science and Engineering University of Florida United States Applied Research Laboratories Telcordia Technologies United States

The global deployment of IP multicast has been slow due to the difficulties related to heterogeneity, scalability, manageability, and lack of a robust inter-domain multicast routing protocol. Application-level multicast becomes a promising alternative. Many overlay multicast systems have been proposed in recent years. However, they are insufficient in supporting applications that require large-scale any-source multicast with highly varied host capacities and highly dynamic membership. In this paper, we propose two capacity-aware multicast systems that focus on host heterogeneity, dynamic membership, scalability, and any source multicast. We extend Chord and Koorde to be capacity-aware. We then embed implicit degree-varying multicast trees on top of the overlay network and develop multicast routines that automatically follow the trees to disseminate multicast messages. The implicit trees are well balanced with workload evenly spread across the network. We also perform extensive simulations to evaluate the proposed multicast systems. © 2005 IEEE.

关键词： Multicasting

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Improvements in SCADA and DCS systems security

Improvements in SCADA and DCS systems security

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22nd International Conference on computers and Their Applications 2007, CATA 2007

作者： Graham, James H. Mostafa, Mostafa S. Arazi, Benjamin Tantawy, Ashraf Hieb, Jeffrey Ralston, Patricia Patel, Sandip C. Computer Engineering and Computer Science Dept. Intelligent Systems Research Laboratory University of Louisville Louisville KY 40292 United States Dept. of Computer Science Western Kentucky University Bowling Green KY United States Dept. of Chemical Engineering University of Louisville Louisville KY United States Dept. of Information Science and Systems Morgan State University Baltimore MD United States

ISBN: (纸本)9781604237559

Supervisory control and data acquisition (SCADA) systems monitor, regulate, gather information from, and control the computer field units that control much of our industrial and utility infrastructure. Distributed Control Systems (DCS) is a broader term used in the chemical and process industries, and includes systems implemented with SCADA networks as their backbone. Security was not a high priority in the design of much of this equipment because it used obscure protocols and relatively secure, dedicated, communications links. This has all changed in recent years as many SCADA and DCS systems are now accessible, either deliberately or through system design flaws, through the public Internet. In this paper a new approach to the issue of intrusion detection and prevention in DCS and SCADA has been developed. Here, the cyber vulnerabilities specifically applicable to the control of chemical plants are directly addressed, rather than adopting in this environment generic solutions. Abnormal behavior signatures are directly associated with adaptive traffic matrix deviations. Spatial and temporal correlation techniques are then applied to enhance intrusion detection. This paper also discusses an experimental test-bed for generating attack data for a wide variety of SCADA and DCS configurations. Copyright © 2007 by the International Society for computers and Their Applications (ISCA).

关键词： Intrusion detection

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IP prefix hijacking detection using the collection of AS characteristics

IP prefix hijacking detection using the collection of AS cha...

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13th Asia-Pacific Network Operations and Management Symposium: Managing Clouds, Smart Networks and Services, APNOMS 2011

作者： Hong, Seong-Cheol Hong, James Won-Ki Ju, Hongtaek Dept. of Computer Science and Engineering POSTECH Korea Republic of Division of IT Convergence Engineering POSTECH Korea Republic of Dept. of Computer Engineering Keimyung University Korea Republic of

ISBN: (纸本)9781457716706

IP prefix hijacking is a well-known security threat that corrupts Internet routing tables and has some common characteristics such as MOAS conflicts and invalid routes in BGP messages. We propose a simple but effective IP prefix hijacking detection method which is based on reachability monitoring. Network reachability means a characteristic that a packet must reach the destination network although the network path is changed due to routing instability. However, when IP prefix hijacking occurs, the traffic sent to victim network does not reach the intended destination but is delivered to attacker network. By identifying the characteristics of the destination network such as network fingerprints, we can know whether the traffic reach the correct destination. In this paper, we present the method of collecting network fingerprints for verifying destination reachability and also propose an IP prefix hijacking detection method using the collected fingerprints. The IP prefix hijacking detection method based on network reachability is effective and useful, which uses a simple active probing and denotes a present network condition. © 2011 IEEE.

关键词： Palmprint recognition

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information retrieval techniques to grasp user intention in pervasive computing environment

Information retrieval techniques to grasp user intention in ...

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2011 5th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2011

作者： Hwang, Myunggwon Kim, Pankoo Choi, Dongjin Korea Institute of Science and Technology Information Daejeon Korea Republic of Dept. of Computer Engineering Chosun University Gwangju Korea Republic of

ISBN: (纸本)9780769543727

This paper contains a method to construct context data which can help an application grasp user intention in pervasive computing environment (PCE). There are various devices in which a user is interested for the user intention (intended behavior such as entering, reading and sleeping). And the core of PCE is to provide appropriate services adapted for grasped user intention through processing context information received from device sensors. Therefore, this paper suggests an approach based on co-occurrence and statistical method, kinds of information retrieval technique, to grasp user intention based on diverse device sensors (context information), including both physical and logical objects. © 2011 IEEE.

关键词： information retrieval

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Optimal data allocation for Scratch-Pad Memory on embedded multi-core systems

Optimal data allocation for Scratch-Pad Memory on embedded m...

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40th International Conference on Parallel Processing, ICPP 2011

作者： Guo, Yibo Zhuge, Qingfeng Hu, Jingtong Qiu, Meikang Sha, Edwin H.-M. College of Information Science and Engineering Hunan University Changsha 410082 China Dept. of Computer Science University of Texas at Dallas Richardson TX 75080 United States Dept. of Electrical and Computer Engineering University of Kentucky Lexington KY 40506 United States

ISBN: (纸本)9780769545103

Multi-core systems have been a popular design for high-performance embedded systems. Scratch Pad Memory (SPM), a software-controlled on-chip memory, has been widely adopted in many embedded systems due to its small area and low energy consumption. Existing data allocation algorithms either cannot achieve optimal results or take exponential time to complete. In this paper, we propose one polynomial-time algorithms to solve the data allocation problem on multi-core system with exclusive data copy. According to the experimental results, the proposed optimal data allocation method alone reduces time cost of memory accesses by 16.45% on average compared with greedy algorithm. The proposed data allocation algorithm also can reduce the energy cost significantly. © 2011 IEEE.

关键词： Embedded systems

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An occupant sensing system using sensor fusion for smart airbag

An occupant sensing system using sensor fusion for smart air...

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2011 International Conference on Image Processing, computer Vision, and Pattern Recognition, IPCV 2011

作者： Kim, Byoung-Ik Bae, Tae-Wuk Choi, Won-Hyung Kim, Young-Choon Ahn, Sang-Ho Kim, Duk-Gyoo School of Electrical Engineering and Computer Science Kyungpook National University Korea Republic of Dept. of Information and Communication Engineering Youngdong University Korea Republic of Dept. of Electronic Engineering Inje University Korea Republic of

ISBN: (纸本)9781601321916

In this paper, we propose an occupant sensing system using the sensor fusion composing of PIR (pyroelectric infrared) sensor, USD (ultrasonic distance) sensor and IRD (infrared distance) sensor for the smart airbag. These sensors are used to detect the position and body classification of occupants. By mounting these sensors within vehicles jig, the proposed system is experimentally evaluated in viewpoint of the occupant detection performance. The experimental results show that the proposed system can apply to the future smart airbag system.

关键词： Ultrasonic applications

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