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A Deep CNN based Kaggle Contest Winning Model to Recognize Real-Time Facial Expression

A Deep CNN based Kaggle Contest Winning Model to Recognize R...

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international conference on Electrical engineering and Information & Communication Technology (ICEEICT)

作者： Aziza Sultana Samrat Kumar Dey Md. Armanur Rahman Dhaka International University Dhaka Bangladesh School of Science and Technology Bangladesh Open University Gazipur Bangladesh Faculty of Engineering and Technology Multimedia University Melaka Malaysia

ISBN: (纸本)9781665495233

In face-to-face interactions, facial expressions convey nonverbal details. Since the early 1990s, researchers have been increasingly interested in automatic facial expression recognition, which is critical in human-machine interfaces. Traditional machine learning methods often necessitate a time-consuming procedure for identifying features and yield mediocre results. We propose efficient deep CNNs that are capable of accurately interpreting the semantic information available in faces without the need for hand-designing feature descriptors in an automated manner in this research paper, which makes use of recent advances in deep learning. We employ a range of loss functions and training techniques in order to learn CNNs with high classification efficiency. Using the renowned Facial Expressions Recognition (FER-2013) collection of data from the Kaggle facial expression recognition contest, the experimental findings show that our suggested networks outperform state-of-the-art techniques. On the contrary, to the competition’s winning model, our proposed networks’ parameter count is drastically reduced, resulting in an increase in average output speed of a significant magnitude and making the suggested networks a better fit for real-time applications.

关键词： Training Emotion recognition Analytical models Face recognition Semantics Training data Predictive models

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A design for high voltage DC power supply

A design for high voltage DC power supply

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international conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)

作者： Jianye Liu Zhaowen Dong Department of Electrical Engineering Hebei University of Science and Technology Shijiazhuang China

ISBN: (纸本)9781467371070

A novel DC high voltage power supply is presented. the device takes 220V AC as input, through the AC input-rectifier-inverter boost-doubler rectifier to get DC high voltage. the device obtains about 300V DC voltage through the full-bridge rectifier. the pulse-width modulation DC/DC links makes DC voltage adjustable. then the DC voltage is converted into high-frequency AC square wave voltage which will be boosted by the high frequency high voltage transformer. Finally, the doubler rectifier circuit outputs the required 0~30kV adjustable DC voltage. AT89S51 is adopted as the control core. LCD screen displays the current voltage. the AT89S51 microcontroller PWM wave is generated through software programming as the control signal of the chopper. Two complementary PWM wave were generated to control the inverter circuit. the AT89S51 compare the feedback voltage and reference voltage required, modulation PWM wave that is to change the duty cycle to achieve high-performance adjustable DC. Simulation and experimental results verify the correctness of theoretical analysis and design.

关键词： Capacitors Rectifiers Integrated circuit modeling Power supplies Inverters Choppers (circuits) Pulse width modulation

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Analysis of Key loggers in Cybersecurity

Analysis of Key loggers in Cybersecurity

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Advances in Computing, Communication Control and Networking (ICAC3N), international conference on

作者： Varsha Kumari Shubham Gupta Shrishti Kumari Avneesh Kumar School of Computer Science and Engineering (SCSE) Galgotia University at Greater Noida Gautam Buddh Nagar India

ISBN: (数字)9798350330861

ISBN: (纸本)9798350330878

the project referred to as “Key Logger System” involves the process of recording keystrokes on a keyboard, often surreptitiously, without the knowledge of the user. this process is known as keystroke logging, also referred to as key logging or keyboard capturing. the person running the logging program can then access the captured information, which is often used to obtain passwords and other sensitive data. Even Microsoft has included a feature in the latest version of Windows 10 that explicitly allows for certain types of key logging, in order to enhance its predictive capabilities. therefore, utilizing this software can provide additional benefits.

关键词： Computers Operating systems Keyboards Passwords programming Malware Recording

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Cutting bamboo down to size 10

Cutting bamboo down to size

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10th international conference on Fun with Algorithms, FUN 2021

作者： Bilò, Davide Gualà, Luciano Leucci, Stefano Proietti, Guido Scornavacca, Giacomo Department of Humanities and Social Sciences University of Sassari Italy Department of Enterprise Engineering University of Rome "Tor Vergata" Italy Department of Information Engineering Computer Science and Mathematics University of L'Aquila Italy Rome Italy

ISBN: (纸本)9783959771450

this paper studies the problem of programming a robotic panda gardener to keep a bamboo garden from obstructing the view of the lake by your house. the garden consists of n bamboo stalks with known daily growth rates and the gardener can cut at most one bamboo per day. As a computer scientist, you found out that this problem has already been formalized in [Gasieniec et al., SOFSEM'17] as the Bamboo Garden Trimming (BGT) problem, where the goal is that of computing a perpetual schedule (i.e., the sequence of bamboos to cut) for the robotic gardener to follow in order to minimize the makespan, i.e., the maximum height ever reached by a bamboo. Two natural strategies are Reduce-Max and Reduce-Fastest(x). Reduce-Max trims the tallest bamboo of the day, while Reduce-Fastest(x) trims the fastest growing bamboo among the ones that are taller than x. It is known that Reduce-Max and Reduce-Fastest(x) achieve a makespan of O(log n) and 4 for the best choice of x = 2, respectively. We prove the first constant upper bound of 9 for Reduce-Max and improve the one for Reduce-Fastest(x) to 3+2v5 v15. Another critical aspect stems from the fact that your robotic gardener has a limited amount of processing power and memory. It is then important for the algorithm to be able to quickly determine the next bamboo to cut while requiring at most linear space. We formalize this aspect as the problem of designing a Trimming Oracle data structure, and we provide three efficient Trimming Oracles implementing different perpetual schedules, including those produced by Reduce-Max and Reduce-Fastest(x). © Davide Bilò, Luciano Gualà, Stefano Leucci, Guido Proietti, and Giacomo Scornavacca.

关键词： Trimming

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the design of a software-defined PC interface for mechatronic applications

The design of a software-defined PC interface for mechatroni...

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international conference on Autonomous Robots and Agents, ICARA

作者： Tony S. Cimino Dale A. Carnegie School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand

All mobile robots of reasonable complexity require a diverse range of sensors to gather data from their surroundings, and actuators for locomotion or other specialised applications. A PCs powerful processor is often used to handle high-level functionality which would otherwise be too complex to run in real time on embedded microcontrollers (fiCs). Because a PC does not have native interfaces to support the wide collection of sensors and actuators available, intermediate bridges are designed to enable communication. A multitude of application-specific bridge interfaces have been created, but the vast majority of these lack the flexibility at a fundamental level to adapt to different applications, or even minor changes to the peripheral hardware. this paper outlines the development of a powerful, software-defined Unified Bridge directly connecting a PC to a diverse range of sensors and actuators. High-level PC-side control and data transfer is realised through object-oriented virtual interfaces implemented in an application programming interface (API). this presents the robotic system designer with an abstraction which is easier to conceptualize and manipulate than various low-level hardware ports. Experimental results are presented giving an indication of the data throughput performance of the system. Work is currently underway to integrate the Unified Bridge onto the “Grandmother” robot; the top tier of Victoria University's fleet of hierarchical search and rescue platforms.

关键词： Bridges Hardware Robot sensing systems Actuators Microprogramming

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SCAREX: A framework for scalable, reliable, and extendable cluster computing

SCAREX: A framework for scalable, reliable, and extendable c...

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international conference on Computer sciences and Convergence Information Technology (ICCIT)

作者： Mino Ku Dugki Min Eunmi Choi School of School of Computer Science and Engineering Konkuk University Seoul South Korea School of Business IT Konkuk University Seoul South Korea

Cluster computing has been widely used in various fields from academics to industry because of its technical advantages. Recently, cloud computing become more attractive, as cluster computing is one of the core basements of cloud computing. However, the development of cluster-based system is hard without relative knowledge such as networking, workload distribution, fault tolerant, etc. thus, various implementations for cluster computing have been introduced to help the development of cluster-based system. However, these implementations also have the limitation for developing cluster-based system because of high performance in specified application fields. In this paper, we present the SCAREX framework which supports scalability, reliability, extendibility, and easy for implementing cluster-based system. this framework employs a fault-tolerant mechanism for the failure of workload processing, and facilitates dynamic module distribution and loading for the work module which works on the worker node. the SCAREX also provides a simple programming interface for easy development. Since the SCAREX has flexible architecture, the developer can implement various cluster architecture and extend cluster architecture by combining the SCAREX-based cluster with other packages of the SCAREX or other frameworks.

关键词： Computer integrated manufacturing Fault tolerance Fault tolerant systems Computer architecture Logic gates Monitoring

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A Novel Linear programming Optimization Coverage Scheme Based on Probability model

A Novel Linear Programming Optimization Coverage Scheme Base...

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2017 5th international conference on Mechatronics,Materials,Chemistry and Computer engineering(ICMMCCE 2017)

作者： Ya-ning Yan Jing Li ZTE Telecommunications College Xi'an Peihua University

In this paper, we present an optimized coverage algorithm based on dynamic parameter *** the definition of dynamic parameter coverage model, the expected value and tolerance of the coverage of the sensor nodes and the expected value formula for the first coverage of the target node are given. In the aspect of network energy, the communication path is optimized by the node state scheduling strategy, so that the energy matching of sensor nodes is effectively realized, and the energy consumption of sensor nodes is suppressed. Simulation results show that the proposed algorithm can not only improve the coverage and Qo S of the network, but also effectively reduce the network energy overhead and prolong the network lifetime.

关键词： Wireless sensor network Coverage rate Redundancy Probabilistic model Network lifetime

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Hyaline: A Transparent Distributed Computing Framework for CUDA

Hyaline: A Transparent Distributed Computing Framework for C...

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international conference for Convergence of Technology (I2CT)

作者： Akshat Jain Owais Kazi Raviraj Joshi Shraddha Basantwani Yogita Bang Rahul Khengare Computer Engineering PICT Pune Computer Science IIT Madras

ISBN: (数字)9781538680759

ISBN: (纸本)9781538680766

the GPU usually handles the homogenous data parallel work, by taking advantage of its massive number of cores. In most of the applications, we use CUDA programming for utilizing the power of GPU. In data intensive high computational applications like neural networks, utilizing the GPU on a single machine is time consuming. Instead if multiple GPUs are used in a network the amount of time required will be significantly reduced. Traditionally to enable a set of program to be run in a distributed environment, programmer has to accordingly design components to make his system dynamic and resilient to changes in number of systems in cluster, which is a daunting task. this work distribution can be a poor solution as it may underutilize the GPUsIn our approach, we developed a framework which transparently distributes data parallel kernels across multiple GPUs in a distributed network. the programmer is responsible for developing a single data parallel kernel in CUDA while the framework automatically distributes the workload across an arbitrary set of CUDA enabled GPUs. Depending on current workload on GPUs and the amount of data to be processed optimal distribution is done. the goal is to maximally utilize the available resources with minimal programming complexity. the systems not compatible with CUDA can also utilize our solution. We expect our framework to reduce the processing time along with simplifying the task of programmers.

关键词： Graphics processing units Kernel Distributed databases Computational modeling programming Task analysis Computer architecture

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the Empirical Analysis of artificial Intelligence Approaches for Enhancing the Cyber Security for Better Quality

The Empirical Analysis of Artificial Intelligence Approaches...

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international conference on Contemporary Computing and Informatics (IC3I)

作者： Bhupender Singh Rawat Durgaprasad Gangodkar Veera Talukdar Komal Saxena Chamandeep Kaur Suryabhan Pratap Singh COER University Roorkee Uttarakhand Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India The Assam Kaziranga University Jorhat Assam India Amity institute of Information Technology Amity University Uttar Pradesh Noida Department of CS & IT Jazan University Saudi Arabia Department of Information Technology Institute of Engineering and Technology Deen Dayal UpadhyayaGorakhpur University Gorakhpur India

In the world of information technology, cyber security is crucial. In this technological age, when information is the primary resource for every firm to preserve and produce results in accordance with requirements, security is the key concern that must be resolved in each case. this study offers a succinct review of artificial intelligence applications in different cybersecurity utilizing artificial neural networks to analyze security and assesses the potential for upgrading defense mechanisms to increase cybersecurity capabilities. the examination of the latest man-made brainpower programming for online protection might recommend that valuable applications are now being used. they utilize brain organizations to initially get the edge and numerous other online protection areas. then again, it is apparent that the utilization of man-made brainpower advancements is important to actually address some network protection issues. the primary goal of the study is to provide an artificial intelligence strategy that can offer security. Additionally, it focuses on the methods, values, and trends that are reshaping the field of cyber security.

关键词： Knowledge engineering Information security Organizations Market research artificial intelligence Computer crime Information technology

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Machine Learning Approach for Mitigating Security threats in IoT Environment

Machine Learning Approach for Mitigating Security Threats in...

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international conference on Inventive Research in Computing Applications (ICIRCA)

作者： Harnit Saini Saroj Bala S.Jhansi Ida K. Suresh Kumar Shankerpally Swetha Divyabarathi P Department of CSE Ajay Kumar Garg Engineering College Ghaziabad Department of MCA Ajay Kumar Garg Engineering College Ghaziabad Department of Computer Science and Business Systems R.M.K Engineering College Kavaraipettai Department of CSE Kongu Engineering College Erode Department of Information Technology CVR College of Engineering Telangana Department of Artificial Intelligence and Data Science Bannari Amman Institute of Technology Erode

In today's world, a huge amount of data and information is transferred through wireless networks. the Internet of things (IoT) is a complex network that consists of diverse sensors, devices, and things, which often have limited resources and are susceptible to various security threats, including Distributed Denial of Service (DDoS) attacks. these networks are vulnerable to a variety of cyber threats and privacy issues. Intrusions are harmful activities that can damage a network. IoT networks are particularly vulnerable to security threats. the Bi-Layer Intrusion Detection Model (BIDM) identifies intrusions based on the optimal features selected in the Optimal Feature Vector Selection (OFVS) phase. this scheme not only prevents attacks, but also serves as a defense against legitimate threats. the proposed technique was evaluated using the KDD CUP 99 dataset, a well-known Intrusion Detection System (IDS) benchmark. the performance of the proposed scheme was further analyzed using the NSL-KDD and CICIDS-2017 datasets. the performance of OFVS was also investigated using the relatively new IoT Network Intrusion dataset. the implementation was carried out in Jupyter Notebook using the Python programming language. Matplotlib, Scikit-learn, pandas, and NumPy were some of the packages used in the implementation. the proposed framework achieved high accuracy rates, with NB at 97.4%, SVM at 96.1%, and DT at 98.1%. By utilizing this approach, the security of IoT networks can be significantly enhanced, and the risks associated with DDoS attacks can be mitigated.

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