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Combining Photometric Features and Relative Position to Detect and Track Target Person 2

Combining Photometric Features and Relative Position to Dete...

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2nd International Conference on computer engineering, Network, and Intelligent Multimedia, CENIM 2019

作者： Dewantara, Bima Sena Bayu Miura, Jun Politeknik Elektronika Negeri Surabaya Dept. of Informatics and Computer Engineering Surabaya Indonesia Toyohashi University of Technology Dept. of Computer Science and Engineering Toyohashi Japan

ISBN: (纸本)9781728129655

Tracking a target person is a vital job in human-robot interaction. The robot must always notice a particular person as the interaction target partner. However, it is sometimes very hard to distinguish the target person because there are many other persons around the target. In this paper, we propose a target person detection and tracking system by combining person's frontal photometric features such as face and clothing color, and coordinate of the person's location in the real world. We apply an illumination invariant face recognition method named OptiFuzz. Hue-Saturation histogram (HS-histogram) is used to obtain the clothing color feature, and a location of the person is acquired from a calibrated single camera view. All these features are then fed into an algorithm of Naive Bayes to discriminate between the target person and others. Our experimental results indicate a successful outcome as it is always possible to detect and track the target person. © 2019 IEEE.

关键词： Human robot interaction

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Mixed FBB and RBB low leakage technique for high durable CMOS circuit

Mixed FBB and RBB low leakage technique for high durable CMO...

引用

2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014

作者： Barua, Parag Jafar, Imran Bin Sengupta, Prianka Noor, Md. Sadaf Dept. of Electrical and Electronic Engineering BRAC University Dhaka Bangladesh Dept. of Electrical and Computer Engineering University of Texas San Antonio United States

ISBN: (纸本)9781479951796

CMOS logic circuit is extensively used for designing low power Very Large Scale Integration (VLSI). Reducing the dimension of CMOS in a nanometer range, functionality and efficiency can be increased, but as a result we have to compromise with circuit level leakage. As circuit level leakage also known as leakage current is currently one of the major concernments to the VLSI designers. These Leakage currents are generated due to different types of leakage current components such as Weak inversion current, Drain-induced barrier lowering (DIBL), Gate-induced drain leakage and Oxide leakage tunneling. However, there are wide ranges of method that are already available to reduce these leakages, but all of them have their own tradeoffs. In this paper we propose a novel technique by integrating the idea of Forward Back Bias (FBB) and Reverse Back Bias (RBB) which reduces leakage extensively than sleepy stack, stacked sleep, variable body biasing and dual sleep. Furthermore, RBB and FBB are yielded with forced stacked transistors where RBB is accountable for nullifying the leakage and FBB is responsible for offsetting the delay penalty. The proposed method is scrutinized under 22nm to 65nm feature size, and it has come out that these novel schemes are especially very effective for designing the future low-voltage, low-power CMOS VLSI's [1]. Therefore, the main principle of this technique is to trim down leakages, but it has an obvious delay constraint that is considered as a tradeoff in this particular case. © 2014 IEEE.

关键词： VLSI circuits

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Rule-based approach for enhancing the motion trajectories in human activity recognition

Rule-based approach for enhancing the motion trajectories in...

引用

2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

作者： Hassan, Sherien Mohamed Al-Sadek, Ahmed Farouk Hemayed, Elsayed E. Computer Science Dept. October University for Modern Sciences and Arts MSA Egypt Computer Engineering Dept. Faculty of Engineering Cairo University Giza Egypt

ISBN: (纸本)9781424481354

In this paper, we propose a rule-based system for semantically understanding and analyzing the motion of the trajectories of the human activity. The proposed system can be used as a preprocessing phase for enhancing the object detection process. Detected trajectories are classified into three categories;normal, semi-normal and abnormal trajectories according to the distances between their adjacent points. Abnormal trajectories are removed from the trajectory space. Semi-normal trajectories are broken into small normal trajectories that are linked later to form a longer normal trajectory. The proposed system does not assume a specific trajectory length and hence is more generic than similar trajectory enhancement approaches. The effectiveness of the proposed approach is demonstrated through several experimental results using known human motion datasets. © 2010 IEEE.

关键词： Trajectories

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Tender Coconut Classification using Decision Tree and Deep Learning Technique 10

Tender Coconut Classification using Decision Tree and Deep L...

引用

10th International Conference on Signal Processing and Integrated Networks, SPIN 2023

作者： Bhat, Ishani Umadevi, V. Jagadeesh, Nishchitha Bhat, Savithri Shenoy, Rashmi S Pes University Dept. of Computer Science Bengaluru India B.MS. College of Engineering Dept. of Computer Science Bengaluru India B.MS. College of Engineering Dept. of Biotechnology Bengaluru India

ISBN: (纸本)9781665490993

A number of industry sectors such as Food & nutraceuticals, Pharma, Irrigation, Transport and Automobile use coconut and its parts for varied products. As different sectors make use of different type and parts of coconut, an automated separation of coconut Would aid in faster processing. Thus the major issue faced by these sectors is the automated sorting of coconut into different categories such as Non-Tender Coconut, Tender Whole coconut, Tender coconut cut With flesh and Without flesh. In this Work We have trained and tested a Decision Tree and DenseNet model to automatically classify coconut images into various categories. For Decision Tree 93% of accuracy Was obtained While the advanced Deep learning model, DenseNet, gave 100% accuracy. This showed that the Deep Learning models such as DenseNet perform better as compared to conventional machine learning algorithms such as Decision Tree. © 2023 IEEE.

关键词： Decision trees

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Virtual network embedding with border matching

Virtual network embedding with border matching

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2012 4th International Conference on Communication Systems and Networks, COMSNETS 2012

作者： Chen, Xuzhou Luo, Yan Wang, Jie Dept. of Computer Science Fitchburg State University Fitchburg MA 01720 United States Dept. of Electrical and Computer Engineering University of Massachusetts Lowell Lowell MA 01854 United States Dept. of Computer Science University of Massachusetts Lowell Lowell MA 01854 United States

ISBN: (纸本)9781467302982

A major challenge in virtual network embedding is to find an efficient mapping of each virtual network (VN) to the nodes and links in the substrate network (SN) so that the residual SN can host as many VN requests as possible. This network optimization problem has been shown to be NP hard. In this paper we propose a "border matching" mechanism in VN embedding, which is shown to outperform a number of existing VN embedding algorithms. In particular, we devise an iterative algorithm called "VNE-B." Typical VN embedding algorithms may cause fragmentations of the substrate network, i.e. the substrate resources are fragmented into small isolated pieces, making it unable to meet larger future VN requests. VNE-B starts the mapping from the "border" nodes of both VNs and the SN for reducing fragmentation of SN resources. Our experimental evaluations show that VN embedding algorithms with VNE-B result in more efficient mappings and thus fewer rejections for VN requests. We also visualize the residual SN to demonstrate the effectiveness of VNE-B. © 2012 IEEE.

关键词： Mapping

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A Novel Single Helix Magnetic Lead Screw for Wave Energy Converter 13

A Novel Single Helix Magnetic Lead Screw for Wave Energy Con...

引用

13th International Symposium on Linear Drives for Industry Applications, LDIA 2021

作者： Zhu, Lixun Yao, Zhaoyang Liu, Shiyi Jiang, Jiacheng Wu, Weimin Koh, Chang-Seop Dept. of Electrical Engineering Shanghai Maritime University Shanghai China Dept. Electrical and Computer Engineering Chungbuk National University Cheongju Korea Republic of

ISBN: (纸本)9781728172101

A new type magnetic lead screw (MLS) is proposed in this paper. The proposed magnetic lead screw is assembled with a single helix permanent magnet (PM) on the translator, and the rotor adopts double helical PMs which is as same as the traditional MLS. This new structure of magnetic lead screw has many advantages, for example, when the proposed MLS is applied to the wave energy power generation system, and without changing its size, the proposed MLS can not only save a lot of PM consumption, but also adjust its maximum thrust by directly adjusting the width of the permanent magnet to adapt to different sea areas. In addition, the proposed MLS has a higher force density. Finally, compared with the traditional MLS, this new type of MLS also has the advantage of fast startup speed. For the proposed MLS, it is analyzed by the two-dimensional (2-D) finite element method (FEM), since the results of 2-D FEM simulation are almost the same as those of three-dimensional (3-D) finite element method (FEM). Additionally, the 3-D FEM is time-consuming. To verify the advantages of the proposed MLS, the performance of the proposed MLS is compared with the traditional MLS and the reluctance-based MLS (RBMLS). At last, the impact of different important parameters on the performance of the proposed MLS are analyzed. It provides a new option for the application of MLS in wave energy power generation systems. © 2021 IEEE

关键词： Permanent magnets

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Power Quality Problems that Occur at a Company Producing electrical Equipment

Power Quality Problems that Occur at a Company Producing Ele...

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2023 Power Quality and Electromagnetic Compatibility at Low-Frequency, PQEMC-LF 2023

作者： Nicolae, Petre-Marian Nicolae, Ileana-Diana Nicolae, Marian-Stefan University of Craiova Electrical Engineering Energetic and Aeronautics Dept. Craiova Romania University of Craiova Computer Science and Information Technology Dept. Craiova Romania

ISBN: (纸本)9798350341331

The paper presents the problems that arise when supplying a company producing electrical equipment from the electricity network. The distorting regimes that appear affect the operation of the electric power network, inducing new problems of functional nature. For their study, the authors designed and implemented a data acquisition system in order to acquire, record and transmit data on electrical quantities (three-phase voltages and currents) from the secondary winding of the transformer that supplies the company. Data were transferred to a PC running original software developed by authors, implementing analysis modules based on Fast Fourier Transform and Wavelet Packet Transform. Small differences were revealed between power quality indices computed with both methods. The performed analysis revealed significant distortions of the currents absorbed by the analyzed plant. The total current harmonic distortion and weights of the 5-th harmonic exceeded the limits stated by IEEE Std 519-2022 whilst the value of the power factor was lower than the neutral value, being associated to additional consumptions of power / reactive energy, with effect on the penalties to be paid by the company. © 2023 IEEE.

关键词： Fast Fourier transforms

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High-Speed Secure Vanity Address Generator for User Convenience in Blockchain Networks 5

High-Speed Secure Vanity Address Generator for User Convenie...

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5th International Conference on Blockchain Computing and Applications, BCCA 2023

作者： Islam, Md. Mainul Islam, Md. Kamrul Hammoudeh, Mohammad Texas A&M University Dept. of Computer Science and Engineering College Station United States Shahjalal University of Science and Technology Dept. of Electrical and Electronic Engineering Sylhet Bangladesh King Fahd University of Petroleum and Minerals Dept. of Information and Computer Science Dhahran Saudi Arabia

ISBN: (纸本)9798350339239

Generating a vanity address (VA) for user convenience in blockchain networks is a memoryless brute-force exercise that involves testing millions of probable private keys. It requires a high-speed processor to compute millions of public keys and corresponding addresses in a short time. In this paper, we propose a novel split-key-multiplicative online VA generator for crypto wallet that provides faster VA generation compared with the existing vanity pools. The proposed approach is capable of improving the speed (in keys per second) of conventional VA generation by 2-7 times without reconfiguring the processor. We also propose a high-speed offline VA generator that offers blockchain users the ability to create a VA with a random vanity word using a low-performance processor without reliance on a vanity pool. To the best of our knowledge, this is the first research paper on VA generation in blockchain networks. © 2023 IEEE.

关键词： Blockchain

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Shot boundary detection based on mutual information and canny edge detector

Shot boundary detection based on mutual information and cann...

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International Conference on computer science and Software engineering, CSSE 2008

作者： Zhao, Huan Li, Xiuhuan Yu, Lilei Dept. of Computer and Communication Hunan University Changsha China Dept. of Computer and Information Engineering Heilongjiang Science and Technology University Harbin China

ISBN: (纸本)9780769533360

Shot boundary detection servers as the preliminary step to Video Retrieval. Most of error detections in the present algorithms are caused by object and camera. Many researchers make use of mutual information to detect shot boundary, and the effect is good, however, object motion reduce performance of algorithm in the methods. In this paper, we present a novel method of shot boundary detection based on the knowledge of mutual information and Canny edge detector. We extract video frame edge using Canny edge detector, then distinguish object motion and shot transform effectively by analyzing frame edge differences, reducing error detections caused by object motion, improving recall and precision. Experiments prove this method is robust to object motion, performance is better. © 2008 IEEE.

关键词： Error detection

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Simple packet scheduling method for data-partitioned video streaming over broadband wireless 6

Simple packet scheduling method for data-partitioned video s...

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2014 6th computer science and Electronic engineering Conference, CEEC 2014

作者： Al-Jobouri, Laith Fleury, Martin Ghanbari, M. Ali, Ismail A. School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom Dept. of Electrical and Computer Engineering University of Duhok Duhok Iraq

ISBN: (纸本)9781479966912

Source-coded data partitioning of a compressed video stream protects more important data, reducing the risk of error corruption in wireless networks. However, because the data partitions of a video slice are each assigned to different network packets, in congestion-prone networks the increased number of packets per slice and their size disparity may increase the packet loss rate from buffer overflows. This paper recommends packet-size dependent scheduling as a relatively simple way of alleviating the problem, which problem remains real whenever there is an adverse distribution of packet sizes entering an access network. The paper also contributes an analysis of partition and packet sizes as a prelude to scheduling regimes. © 2014 IEEE.

关键词： Video streaming

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