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6th international conference on Future Data and Security Engineering, FDSE 2019

6th International Conference on Future Data and Security Eng...

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6th international conference on Future Data and Security Engineering, FDSE 2019

ISBN: (纸本)9783030356521

the proceedings contain 54 papers. the special focus in this conference is on Future Data and Security Engineering. the topics include: computing History-Dependent Schedules for Processes with Temporal Constraints;finding All Minimal Maximum Subsequences in Parallel;OCL2PSQL: An OCL-to-SQL Code-Generator for Model-Driven Engineering;framework for Peer-to-Peer Data Sharing over Web Browsers;efficiently Semantic-Aware Pairwise Similarity: an Applicable Use-Case;lower Bound on Network Diameter for Distributed Function Computation;a Combined Enhancing and Feature Extraction Algorithm to Improve Learning Accuracy for Gene Expression Classification;age and Gender Estimation of Asian Faces Using Deep Residual Network;Light-Weight Deep Convolutional Network-Based Approach for Recognizing Emotion on FPGA Platform;a New Test Suite Reduction Approach Based on Hypergraph Minimal Transversal Mining;metagenome-Based Disease Classification with Deep Learning and Visualizations Based on Self-organizing Maps;On Analyzing the Trade-Off Between Over-Commitment Ratio and Quality of Service in NFV Datacenter;dynamic Data Management Strategy on Cloud Network by Fog computing Model;openness in Fog computing for the Internet of things;A Top-Down Scheduling for Time Efficient Data Aggregation in WSNs;a New Technique to Improve the Security of Elliptic Curve Encryption and Signature Schemes;a Visual Model for Privacy Awareness and Understanding in Online Social Networks;A Method to Enhance the Security Capability of Python IDE;studying Machine Learning Techniques for Intrusion Detection systems;enforcing Access Controls in IoT Networks;machine Learning Based Monitoring of the Pneumatic Actuators’ Behavior through Signal Processing Using Real-World Data Set;adventures in the Analysis of Access Control Policies.

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6th international Symposium on Energy Science and Chemical Engineering

6th International Symposium on Energy Science and Chemical E...

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2021 6th international Symposium on Energy Science and Chemical Engineering, ISESCE 2021

the proceedings contain 125 papers. the topics discussed include: research on the influence on briquette characteristics by blended coal preparation;coordinated allocation method of opportunity constraints for thermal power units considering source load uncertainty;research on emergency method of power cyber-physics risk area;research on failure rate of self-service payment terminal of power supply company based on cloud computing;research on safety evaluation technology of portal cranes based on analytic hierarchy process (AHP) theory;a probe into the accuracy of thermal runaway simulation model of lithium-ion battery under adiabatic condition;an empirical analysis of the impact of government subsidies on the innovation of new energy automobile companies before and after the subsidy policy declines;a wind speed prediction method based on improved empirical mode decomposition and support vector machine;and research on distribution network investment allocation method considering actual demand and investment benefit.

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CESMP: Chinese-English Segment-aligned Multi-field Patent Data 7

CESMP: Chinese-English Segment-aligned Multi-field Patent Da...

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7th IEEE international conference on Cloud computing and Intelligence systems, CCIS 2021

作者： Liu, Wuying Wang, Lin Hu, Fumao Guangdong University of Foreign Studies Laboratory of Language Engineering and Computing Guangzhou510420 China Shanghai International Studies University Xianda College of Economics and Humanities Shanghai200083 China Luoyang Institute of Science and Technology School of Foreign Languages Luoyang471023 China

ISBN: (纸本)9781665441490

Patent data from various countries in the world implies the essence of scientific discovery and technological innovation of all human beings, but language differences have become a huge obstacle to patent data retrieval and communication. We hope to build a bridge from Chinese to English in the patent domain, so that English speakers can make better use of Chinese patent data. With the help of natural language processing technologies such as optical character recognition, Chinese text processing, machine translation and English text processing, we construct digital Chinese-English segment-aligned multi-field patent (CESMP) data from scanned Chinese patents. the current CESMP data consists of 610,310 patent documents in XML format. Each patent document contains six required fields (date, publication, ipc, title, abstract, and claim) and four optional fields (cpc, wipo, originalapplicant, and currentowner), among which the wipo, title, abstract, and claim fields are aligned with Chinese and English segments. Supported by well-structured bilingual patent data, on the one hand, the resource construction algorithms can efficiently build a bilingual patent dictionary and a parallel patent segment bank;on the other hand, the deep natural language processing algorithms can be effectively implemented into many practical intelligent applications such as cross-language patent retrieval, patent spam filtering, patent network analysis, patent machine translation, etc. © 2021 IEEE.

关键词： Optical character recognition

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IPv6 Detection Techniques and Solutions

IPv6 Detection Techniques and Solutions

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international conference on Developments in esystems Engineering (DESE)

作者： Mostafa Tajdini Hoshang Kolivand School of Computing and Digital Technologies Staffordshire University Stoke-on-Trent U.K School of Computer Science and mathematics Liverpool John Moores University Liverpool U.K

the transition from IPv4 to IPv6 marks a significant evolution in internet protocol technology, bringing forth both opportunities and challenges. this paper conducts a thorough survey of various detection techniques and solutions specifically tailored for IPv6, addressing the unique security vulnerabilities inherent to this new protocol. We delve into the nuances of IPv6’s architecture that make traditional IPv4 detection methods inadequate, highlighting the necessity for specialized IPv6-focused strategies. the survey covers a broad range of techniques, including advanced intrusion detection systems, machine learning algorithms, and hybrid approaches. We critically analyze the effectiveness of these methods in detecting and mitigating common IPv6 threats like evasion attacks, distributed denial of service (DDoS) attacks, and fragmentation exploits. Additionally, the paper explores innovative solutions developed to address IPv6-specific vulnerabilities, such as improved packet inspection methods and enhanced firewall capabilities. through this comprehensive review, we aim to provide insights into the current state of IPv6 detection techniques and offer guidance for future research and development in this crucial area of network security.

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Static Noise Margin in 16 nm FinFET 6T and 8T SRAM Cells for Compute-in-Memory

Static Noise Margin in 16 nm FinFET 6T and 8T SRAM Cells for...

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IEEE international conference on Electronics, Circuits and systems (ICECS)

作者： Lorenzo Stevenazzi Andrea Baschirotto Marcello De Matteis Department of Physics Piazza della Scienza 3 University of Milano-Bicocca Milano Italy

the adoption of convolutional neural network algorithms requires an increasing number of multiply-and-accumulate operations. Compute-in-memory leverages the spatial arrangement of static random access memory (SRAM) cells to increase parallelism and reduce power consumption, overcoming repeated data access and movement from the memory to the computing unit in von Neumann *** the proposed work, an SRAM cell with six transistors is described, explaining how the multiply-and-accumulate operation is performed and how its architecture is suitable for compute-in-memory. As multiple SRAM cells are accessed at the same time, the importance of static noise margin is discussed in the read and hold operations and the 8T Single-Ended SRAM cell presented to overcome read-disturbance *** SRAM cells are designed in 16 nm FinFET CMOS process and simulated to calculate the hold and read static noise margins in the nominal and PVT corners. Specifically, the 6T SRAM cell exhibits nominal hold and read static noise margin values of 355.8 mV and 188.0 mV respectively. the 8T Single-Ended SRAM cell has equivalent nominal hold and read static noise margin values of 354.6 mV, overcoming read disturbance and being a feasible candidate for reliable compute-in-memory arrays.

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Unsupervised Domain Adaptation for 6DOF Indoor Localization 16

Unsupervised Domain Adaptation for 6DOF Indoor Localization

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16th international Joint conference on Computer Vision, Imaging and Computer Graphics theory and Applications (VISIGRAPP) / 16th international conference on Computer Vision theory and Applications (VISAPP)

作者： Di Mauro, Daniele Furnari, Antonino Signorello, Giovanni Farinella, Giovanni Univ Catania Dept Math & Comp Sci Piazza Univ 2 Catania Italy Univ Catania CUTGANA Piazza Univ 2 Catania Italy

ISBN: (纸本)9789897584886

Visual Localization is gathering more and more attention in computer vision due to the spread of wearable cameras (e.g. smart glasses) and to the increase of general interest in autonomous vehicles and robots. Unfortunately, current localization algorithms rely on large amounts of labeled training data collected in the specific target environment in which the system needs to work. Data collection and labeling in this context is difficult and time-consuming. Moreover, the process has to be repeated when the system is adapted to a new environment. In this work, we consider a scenario in which the target environment has been scanned to obtain a 3D model of the scene suitable to generate large quantities of synthetic data automatically paired with localization labels. We hence investigate the use of Unsupervised Domain Adaptation techniques exploiting labeled synthetic data and unlabeled real data to train localization algorithms. To carry out the study, we introduce a new dataset composed of synthetic and real images labeled with their 6-DOF poses collected in four different indoor rooms which is available at https://***/EGO-CH-LOC-UDA. A new method based on self-supervision and attention modules is hence proposed and tested on the proposed dataset. Results show that our method improves over baselines and state-of-the-art algorithms tackling similar domain adaptation tasks.

关键词： Domain Adaptation Localization 6DOF Camera Pose Estimation

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OLGBM: Optuna Optimized Light Gradient Boosting Machine for Intrusion Detection 6

OLGBM: Optuna Optimized Light Gradient Boosting Machine for ...

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6th international conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IC4ME2 2021

作者： Arifin, Md Mashrur Based, Md Abdul Mumenin, Khondoker Mirazul Imran, Ali Azim, Mohammad Abdul Alom, Zulfikar Awal, Md Abdul Dhaka International University Department of CSE Dhaka Bangladesh Khulna University Electronics and Communication Engineering Discipline Khulna9208 Bangladesh Asian University for Women Computer Science Chattogram4000 Bangladesh

ISBN: (纸本)9781665406376

Network technology has been evolved exponentially in the past few decades. At the same time, gazillions of network intrusion incidents are continuously forming cyberspace a shocking vulnerable domain to explore for the personnel from armature to the professionals. Consequently, networks mostly become botnet when there are no Intrusion Detection systems (IDS) deployed. A smart and efficient intrusion detection system is an inexorable solution designed for fine-tuning the preventive rule-sets in any network. In this paper, we have proposed an efficient anomaly-based IDS mechanism. this detection mechanism has been competent by three tree-based state-of-the-art machine learning classifiers, namely, Random Forest (RF), Decision Tree (DT), and Optuna based Light Gradient Boosting Machine (OLGBM) algorithms. A comparative study of the algorithmic performances has been executed to determine the best algorithm that could be efficient for the IDS. In the experiment, the proposed OLGBM model gives better performance (accuracy 98.46%). © 2021 IEEE.

关键词： Intrusion detection

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TOURISM 4.0: OPPORTUNITIES FOR APPLYING INDUSTRY 4.0 TECHNOLOGIES IN TOURISM 22

TOURISM 4.0: OPPORTUNITIES FOR APPLYING INDUSTRY 4.0 TECHNOL...

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proceedings of the 6th international conference on Future Networks & Distributed systems

作者： Gulnora Kalandarovna Abdurakhmanova Olim Tashtemirovich Astanakulov Sanjar Bakhodirovich Goyipnazarov Aziza Bakhramovna Irmatova Faculty of Economics Tashkent State University of Economics Uzbekistan Faculty of Economics International Islamic Academy of Uzbekistan Uzbekistan

ISBN: (纸本)9781450399050

the process of digitization, which followed the era of the third Industrial Revolution, facilitated a new era called “Industry 4.0” (the 4th Industrial Revolution). Based on the dynamics of Industry 4.0 development, the Tourism 4.0 concept now reinforces the perception of technology-based changes in the tourism industry that are highly interconnected and similar to figital (real-world and digital technology combinations) systems. therefore, the purpose of this study is to identify the potential impacts (positive and negative) of Industry 4.0 and its components in the tourism industry, to study and to analyze the stages of development of tourism in the context of “Industry 4.0” and web technologies, as well as to suggest relevant proposals for the integration of tourism into technologies of “Industry 4.0”. the study also highlights the importance of training smart device and software developers in the field of tourism and the development of conceptual, technical and innovative skills of industry professionals in the management of technological infrastructure.

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Image Degradation due to Interacting Adjacent Hot Pixels 35

Image Degradation due to Interacting Adjacent Hot Pixels

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35th IEEE international Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology systems, DFT 2022

作者： Chapman, Glenn H. Meneses, Klinsmann J. Coelho Silva Koren, Israel Koren, Zahava Simon Fraser University School of Engineering Science BurnabyBCV5A 1S6 Canada University of Massachusetts Dept. of Electrical and Computer Engineering AmherstMA01003 United States

ISBN: (数字)9781665459389

ISBN: (纸本)9781665459389

Hot Pixels are cosmic ray induced digital imaging sensor defects that accumulate as the camera ages at rates that are highly dependent on pixel size. We previously developed an empirical formula projecting hot pixel defect density (defects/year/mm2) growth rates via a power law, with the inverse of the pixel size raised to the power of $\sim $3, multiplied by the square root of the ISO (gain). We show in this paper that this increasing defect rate results in a higher probability that two defects will occur within a 5x5 pixel square. Under these conditions, the color demosaicing and JPEG image compression algorithms required for picture creation greatly amplify the impact of these two defective pixels, spreading damage to a 16x16 pixel area and creating significant color changes resulting in a very noticeable image degradation. We develop an analytical generalized birthday problem formula in order to estimate the number of hot pixels needed to achieve a given probability of having two defective pixels within a 5x5 square. For a 20 Mpixel DSLR camera, only 128 hot pixels generate a 4.5% probability of such interacting defective pixels, or 1 in 22 cameras. For 4 micron pixels this would occur in 1.4 years at ISO 6400, and in 3.2 years at ISO 3200. © 2022 IEEE.

关键词： Pixels

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Classification of Aerial Manipulation systems and algorithms for Controlling the Movement of Onboard Manipulator 1

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6th international conference on Interactive Collaborative Robotics (ICR)

作者： Vinh Nguyen Tien Ngo Quyen Vu Ronzhin, Andrey Russian Acad Sci SPC RAS St Petersburg Fed Res Ctr 14th Line VI 39 St Petersburg 199178 Russia Le Quy Don Tech Univ 236 Hoang Quoc Viet Hanoi 10000 Vietnam

ISBN: (数字)9783030877255

ISBN: (纸本)9783030877255;9783030877248

Instrumentation of an unmanned aerial vehicle (UAV) with devices for physical interaction with ground-based objects is a popular scientific branch in the domain of robotics. Physical interaction of an onboard aerial manipulation system with objects complicates the UAV stabilization process, what, in turn, impairs the positioning of UAV and reduces navigational accuracy of the moving end of the mechanism. In this paper, the problem of the manipulator motion control for an unmanned aerial vehicle is considered. We also propose algorithms for the calculation of the angles of joints of the manipulator, based on the solutions of the direct and inverse kinematics problems. the developed algorithms ensure retaining of the center of mass of an aerial manipulator system on the vertical axis and minimum displacement of the center of mass horizontally when moving the end mechanism along the reference trajectory.

关键词： Unmanned aerial vehicle UAV Aerial manipulation system Stability of aerial manipulator system

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