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A Comparison of Mental Task Combinations for Asynchronous EEG-Based BCIs

A Comparison of Mental Task Combinations for Asynchronous EE...

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29th Annual International conference of the IEEE engineering in Medicine and Biology Society (EMBS 2007), vol.12

作者： Francisco Sepulveda Matthew Dyson John Q. Gan C. S. L. Tsui BCI Group Department of Computer Science University of Essex UK

Aiming at developing asynchronous BCIs, we tested 21 2-class combinations of 7 mental tasks to determine whether any pair of tasks may be more suitable. the tasks under consideration were: auditory recall, mental navigation, sensorimotor attention (left hand), sensorimotor attention (right hand), mental calculation, imaginary movement (left hand), imaginary movement (right hand). Sensorimotor attention is novel in this application domain. All possible pairs were tried in 5 subjects using data from 10s periods in which subjects were free to execute the required mental task at their own pace. Recordings were done whilst the subject controlled a robot navigation simulator on a computer monitor, with the robot direction being related to the mental task. Classification of the data was done using LDA. Class-separation was estimated using the Davies-Bouldin index. Best classification results were obtained when auditory recall was followed or preceded by mental calculation. Of the possible 21 task combinations, this task pair was in the top 5 (performance-wise) for 4 of the 5 subjects. this was also the case when class-separation was used as a criterion.

关键词： Navigation Testing Application software Robot control Robot sensing systems Brain modeling Computational modeling computer simulation computer displays Linear discriminant analysis

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Joint power and reduced spectral leakage-based resource allocation for D2D communications in 5G 15th

Joint power and reduced spectral leakage-based resource allo...

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15th International conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Mukherjee, Mithun Shu, Lei Zhang, Yan Zhou, Zhangbing Wang, Kun Guangdong Provincial Key Lab of Petrochemical Equipment Fault Diagnosis Guangdong University of Petrochemical Technology Guangdong525000 China Simula Research Laboratory University of Oslo Oslo Norway School of Information Engineering China University of Geosciences Beijing100083 China School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9783319271392

this paper proposes a joint mode selection and resource block (RB) allocation for the direct device-to-device (D2D) communication underlying cellular network. Universal-filtered multi-carrier (UFMC) technique which is considered as a potential candidate for the future communication systems due to its robustness against inter\carrier interference (ICI), is introduced for D2D communication. In this paper, our goal is to design a network that selects the transmission mode between D2D and traditional cellular transmission mode. Unlike exist\ing work on the mode selection which focused on network performance to improve overall throughput and providing required quality-of-service (QoS) for cellular users (CUs), we study the interference from the other D2D links operating on the edge of the neighboring cells. D2D communications provide a reliable transmission near edge of the cells but is limited by interference from CUs as well as D2D pairs belong to edge of the neighboring cells. We present an approach in UFMC-based D2D scenario to reduce the spectral leakage to nearby RBs used for same or other D2D links. Further, we develop an optimization framework that aims to maximize signal-to-interference-and-noise ratio (SINR) and improves the overall throughput. © Springer International Publishing Switzerland 2015.

关键词： Resource allocation

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Real time Alert AI and IoT based accident prevention and detection 24

Real time Alert AI and IoT based accident prevention and det...

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13th International conference on software and computer Applications, ICSCA 2024

作者： Baseme, Fabien Bulonza Hanyurwimfura, Damien Twizere, Celestin University Of Rwanda College Of Science And Technology African Centre Of Excellence In Internet Of Things Rwanda University Of Rwanda College Of Science And Technology Centre Of Excellence In Biomedical Engineering And EHealth Rwanda

ISBN: (纸本)9798400708329

Road incidents caused by driver distractions (such as phone usage), drunkenness, and excessive speed constitute significant dangers to public safety in Rwanda. A comprehensive study of the design and implementation of an AI and IoT-based system for accident detection, prevention, and enhanced emergency response is presented in this article as one of the solutions to the problem. Using Raspberry Pi microcontroller as the central server, the system incorporates several sensors and actuators connected to ESP8266, including GPS Gn801 GPS Glonass dual mode for speed detection and car localization, MQ3 alcohol gas sensor SEN42, R16 for alcohol detection, ADXL335-3 Axis compass accelerometer GY-6l for car movement changes. In addition, a Raspberry Pi 4Bl3B 5MP fisheye night vision focal camera is integrated into the system to detect driver distractions such as phone usage while driving. Sophisticated machine learning and artificial intelligence (AI) algorithms, with a specific focus on Convolutional Neural Networks (CNNs), were utilized to identify instances of driver distraction and facilitate real-time monitoring and alert systems. By leveraging on edge and cloud computing to process, store and analyze data, the system guarantees efficient and impactful correspondence with emergency response teams. Our objective is to contribute to the domain of road safety by developing an efficient solution for emergency response and accident prevention in Rwanda. Our primary focus is on our distinctive contribution, which is to address driver distraction monitoring and real-time reporting to a person in charge in hospital and police in an innovative manner. this addresses a crucial aspect that is currently not sufficiently addressed by other solutions in the field. the study's findings demonstrate the accuracy of the integrated IoT sensors in accurately detecting accidents, speed, monitoring alcohol consumption, and identifying distractions, specifically phone usage. A remarkable 86-1

关键词： Internet of things

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Research on High-Fidelity License Plates Generated Using Generative Adversarial Network (GAN) Technology for Vehicle Recognition systems 24

Research on High-Fidelity License Plates Generated Using Gen...

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13th International conference on software and computer Applications, ICSCA 2024

作者： Cheng, Yu-Huei Chen, Po-Yun Department Of Information And Communication Engineering Chaoyang University Of Technology Taiwan

ISBN: (纸本)9798400708329

In recent years, with the rapid advancement of artificial intelligence, deep learning techniques have seen extensive applications in various fields, including license plate recognition technology. However, deep learning-based license plate recognition still faces several challenges. For instance, it s often difficult to obtain a sufficiently diverse set of image data when collecting real-world data, and the quantity of data may not be enough to meet the training requirements of deep learning models. To address these challenges, this research proposes an approach based on Generative Adversarial Networks (GANs) to generate highly realistic license plate images. Instead of relying solely on traditional fixed cameras or on-site capture techniques to collect license plate datasets, this approach involves generating a diverse set of high-fidelity license plate images using randomization. this increases the diversity of the training dataset for deep learning, thereby improving the accuracy and generalization of license plate recognition technology. this paper utilizes both a real-world dataset of collected actual license plates and a high-fidelity synthetic dataset generated using GANs. these datasets are divided into eight groups, denoted as R_A, R_B, R_C, R_D, G_A, G_B, G_C, and G_D, each containing 6,000 to 12,000 license plate images. these datasets are used to train deep learning models based on the YOLOv5 architecture. the objective of the experiments is to compare the performance of the eight different license plate datasets after training, in order to validate whether the proposed high-fidelity synthetic dataset can replace traditional real-world license plate datasets. In the final experimental results, it is observed that the virtual license plates generated by the Generative Adversarial Networks can effectively replace real images captured by fixed cameras. the performance metrics for the eight groups are as follows: R_A: 82%, R_B: 85%, R_C: 93%, R_D: 95%, G_A:

关键词： Cameras

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Tradeoff between the price of distributing a database and its collusion resistance based on concatenated codes 15th

Tradeoff between the price of distributing a database and it...

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15th International conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Bui, thach V. Nguyen, thuc D. Sonehara, Noboru Echizen, Isao 1560-35 Kamiyamaguchi Hayama Kanagawa Prefecture240-0115 Japan National Institute of Informatics 2-1-2 Hitotsubashi Chiyoda-ku Tokyo101-8430 Japan Ho Chi Minh City University of Science 225 Nguyen Van Cu Street District 5 Ho Chi Minh City Viet Nam

ISBN: (纸本)9783319271217

the purchasing of customer databases, which is becoming more and more common, has led to a big problem: the use of purchased databases to mount a collusion attack, which is when purchasers of a database illegally combine their versions of it in order to de-anonymize the private information it contains. However, the purchasing of customer database is only available in the black market. In this paper, we first investigated the relationship between the price of distributing a database and its collusion resistance. A fingerprint is embedded in database so that illegal distributors can be identified. the fingerprints are constructed on the basic of concatenated codes. After the fingerprint is embedded, the price of distributing the database and its collusion resistance are modelled as decreasing functions. the less expensive the database is, the less collusion resistance the database owner deals with. there are upper and lower bounds for the collusion capabilities. To the best of our knowledge, this scheme is unique in that the tradeoff between the price of distributing a database and its collusion resistance is based on a mathematical model. Second, we propose a guideline to sell customer database legally with profit and risk evaluation. © Springer International Publishing Switzerland 2015.

关键词： Database systems

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Robotics learning as a tool for integrating science technology curriculum in K-12 schools

Robotics learning as a tool for integrating science technolo...

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Frontiers in Education (FIE) conference

作者： E. Kolberg N. Orlev Ministry of Education Tel-Aviv Tel-Aviv University Tel-Aviv Israel Tel-Aviv University Israel

Technology literacy for all on one hand and continuous demand for skilled technology engineers and workers on the other hand, poses a challenge to education systems worldwide. Recent years show efforts to integrate technology into all levels of the school curriculum. the work presented here introduces one possible approach to familiarize 5/sup th/ to 6/sup th/ grade pupils with high level technology using a mobile robot as the principal tool in the curriculum. Children construct an open ended, autonomous robot while working in teams (6 per team). Each team is divided into sub-groups that represent the various skills needed for the construction and operation of the robot. they use a flow-chart software as their programming frame. At first, the teams are given simple missions, and as they progress, they are challenged with open-ended, more complex assignments. Each weekly session lasts about three hours of which a third is devoted to knowledge expansion and the rest for testing and construction. During the test phase, pupils perform experiments for deducing device properties (sensor, motor, control method, etc.). they add the device of their choice to their mobile robot system. As a typical open-ended problem, the team explores possible solutions to each problem. then they are expected to define their solutions and implement them. At the end of the year there is a contest between robots built by the various teams, to accomplish a predefined task.

关键词： Educational technology Mobile robots Educational institutions Testing Continuing education systems engineering education Programming profession Robot programming Performance evaluation Cultural differences

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Constraints Based Convex Belief Propagation 16

Constraints Based Convex Belief Propagation

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Annual conference on Neural Information Processing systems

作者： Yaniv Tenzer Alexander Schwing Kevin Gimpel Tamir Hazan Department of Statistics The Hebrew University Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Toyota Technological Institute at Chicago Faculty of Industrial Engineering and Management Technion - Israel Institute of Technology

ISBN: (纸本)9781510838819

Inference in Markov random fields subject to consistency structure is a fundamental problem that arises in many real-life applications. In order to enforce consistency, classical approaches utilize consistency potentials or encode constraints over feasible instances. Unfortunately this comes at the price of a tremendous computational burden. In this paper we suggest to tackle consistency by incorporating constraints on beliefs. this permits derivation of a closed-form message-passing algorithm which we refer to as the Constraints Based Convex Belief Propagation (CBCBP). Experiments show that CBCBP outperforms the conventional consistency potential based approach, while being at least an order of magnitude faster.

关键词： Constraint Belief propagation Markov random fields Convexity consistency Consistency (Measurement) based

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Toward a Fast Stochastic Simulation Processor for Biochemical Reaction Networks

Toward a Fast Stochastic Simulation Processor for Biochemica...

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IEEE International conference on Application-specific systems, Architectures and Processors

作者： Hyungman Park Andreas Gerstlauer Electrical and Computer Engineering The University of Texas at Austin

ISBN: (纸本)9781479904945

Computational studies of biological systems have gained widespread attention as a promising alternative to regular experimentation. Within this domain, stochastic simulation algorithms are widely used for in-silico studies of biochemical reaction networks, such as gene regulatory networks. However, inherent computational complexities limit wide-spread adoption and make traditional software solutions on general-purpose computers prohibitively slow. In this paper, we present a specialized stochastic simulation processor that exploits fine- and coarse-grain parallelism in Gillepie's first reaction method to achieve high performance. the processor is designed to support large-scale networks more than a million species and reactions using external DRAMs. In addition, we introduce a dedicated compiler that creates data locality for efficient memory access and data reuse. Our performance evaluation using cycle-accurate simulation shows that our approach achieves orders of magnitude higher throughput for networks with different characteristics of coupling, compared to best-in-class software algorithms on a state-of-the-art workstation.

关键词： DRAMs Biochemical Reaction Networks Biochemical Reaction Network DRAM1 gene PROCESSOR software solution locality data Stochastic simulating

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On illegal composition of first-class agent interaction protocols 08

On illegal composition of first-class agent interaction prot...

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Australasian computer Science conference

作者： Tim Miller Peter McBurney The University of Melbourne Victoria Australia University of Liverpool Liverpool UK

ISBN: (纸本)9781920682552

the Australasian computer Science conference (ACSC) series is an annual forum, bringing together research sub-disciplines in computer Science. the meeting allows academics and researchers to discuss research topics as well as progress in the field, and policies to stimulate its growth. this volume contains papers presented at the thirty First ACSC in Wollongong, NSW, Australia. ACSC 2008 is part of the Australasian computer Science Week which ran from Jan 22nd to 25th, 2008.

the ACSC 2008 call for papers solicited contributions in all areas of computer science research. this years conference received submissions from Australia, New Zealand, China, France, India, Iran, Jamaica, Jordon, Malaysia, Pakistan, South Africa, Turkey, UK, and Taiwan. the topics addressed by the submitted papers illustrate the broadness of the discipline. the authors categorised their submissions into one or more of the following topics:

- Algorithms (9 papers)

- Artificial Intelligence (7 papers)

- Communications and Networks (4 papers)

- computer Architecture (2 paper)

- computer Vision (4 papers)

- Databases (5 papers)

- Distributed systems (6 papers)

- E-Commerce (4 papers)

- Formal Methods (6 papers)

- Graphics (6 papers)

- High Performance Computing (7 papers)

- Human-computer Interaction (8 papers)

- Mobile Computing (6 papers)

- Multimedia (1 paper)

- Object Oriented systems (3 papers)

- Ontologies (1 paper)

- Operating systems (5 papers)

- Programming Languages (4 papers)

- Robotics (1 paper)

- Scientific Computing (5 papers)

- Security and Trusted systems (5 papers)

- Simulation (6 papers)

- software engineering (5 papers)

- Speech (1 paper)

- theory (3 papers)

- Visualization (6 papers)

- Web Services (3 papers)

the programme committee consisted of 28 highly regarded academics from

关键词： multi-agent systems paper computer science Multi-agent systems Logic programming computer Programming Languages

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A Simulation Method for Industrial Control Honeynet Based on Time Series Prediction

A Simulation Method for Industrial Control Honeynet Based on...

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Information Science, Parallel and Distributed systems (ISPDS), International conference on

作者： Tianqi Jiang Yu Yao Chao Xu Wei Yang Xiaoming Zhou Miao He Wenjie Zhang Qianyi Wang Meng Meng Rui Wang School of Computer Science and Engineering Northeastern University Shenyang China State Grid Liaoning Xintong Company Shenyang China Software College Shenyang China State Grid Liaoning Electric Power Co. Ltd. Shenyang China

ISBN: (数字)9798350352719

ISBN: (纸本)9798350352726

this paper proposes a time series prediction based industrial control honey network simulation method to address the issue that many current industrial control honey network solutions only consider the response interaction simulation of attackers within a certain period of time and cannot effectively achieve communication simulation and collaborative work between honeypots. Firstly, the deployment and basic interaction simulation of the industrial control honeynet have been achieved; then, a communication simulation method between devices within the industrial control honey network was studied and implemented to simulate collaborative work scenarios between devices; Secondly, using time series prediction algorithms to generate simulation data for various devices within the industrial control honey network, improving the sustained response capability of the industrial control honey network; Finally, comparative experiments have shown that the method proposed in this article can improve the ability to trap attackers, provide more data for security analysis, and help users establish a comprehensive industrial control network security protection system.

关键词： Information science Protocols Adaptive systems Federated learning Industrial control Time series analysis Predictive models

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