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A review on outsourced attribute-based encryption technique for secure data storage 3

A review on outsourced attribute-based encryption technique ...

引用

3rd international conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Chavan, Shweta Sharad Dorathi Jayaseeli, J.D. SRM Institute of Science and Technology Department of Computer Science and Engineering Chennai Tamil Nadu India

ISBN: (纸本)9780738111834

In the current world, more confidential information on untrusted repositories is maintained such that it is important to encrypt data on these pages. New encryption methods are being developed and improved from time to time. 'AES' (Advanced Encryption Standard) is one such encryption protecting machine, which offers fine grained access control. Think of the ABE as a Cipher Scheme. However, the expressive mode of the ABE method can be problematic for the ABE in interpreting the key clarification and result in a low computational performance for the key problem and key decryption. To fix this issue, several outsourced versions of the Chinese Abacus (a concrete plane not made of beads on sticks), were built to improve the reliability of its use. This paper describes the various methods suggested and contrasts them, illustrating the benefits with the drawbacks. © 2021 IEEE.

关键词： Cloud storage

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Fire detection using deep transfer learning on surveillance videos 3

Fire detection using deep transfer learning on surveillance ...

引用

3rd international conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Bari, Abdul Saini, Tapas Kumar, Anoop Centre for Development of Advanced Computing Hyderabad India

ISBN: (纸本)9780738111834

Traditional sensor-based fire detection systems cannot be alerted until the heat actually reach to the sensors. Therefore, it is evident to make a fast, robust and reliable system which can detect fire at an early stage. We propose a method that is able to detect fire by analyzing videos acquired by surveillance cameras. Recent development in Deep Learning has been proved to be highly effective in the field of computer vision. Transfer Learning (a deep learning methodology) has emerged to be extremely helpful for the applications with scarcity of training data. Using Transfer Learning we leveraged the Deep Learning models already trained on ImageNet Dataset. To solve the fire detection problem, we fine-tuned these models using our own curated dataset which consists of videos downloaded from the internet and our own recorded videos. Specifically, we chose pre trained InceptionV3 and MobileNetV2 models for transfer learning and in between comparison. We have also shown comparison between transfer learning and full model training on the same data set. We found that transfer learned models perform way better than fully trained models when trained on limited dataset. Our models also outperformed the state-of-the-art hand-crafted features-based fire detection systems. © 2021 IEEE.

关键词： computer vision

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Multi-Agent Deep Reinforcement Learning for Channel Resource Allocation in Vehicular Networks

Multi-Agent Deep Reinforcement Learning for Channel Resource...

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Consumer Electronics and computer Engineering (ICCECE), 2021 IEEE international conference on

作者： Rui Jiang Fuxin Zhang College of Computer Science and Engineering Shandong University of Science and Technology Qingdao China

Vehicular networks rely on periodic broadcast of each vehicle's state information to track its surrounding vehicles and therefore, to predict potential collisions. However, in a scenario of high vehicle density, a large number of vehicles compete to access the shared channel and transmit their beacons, inevitably leading to channel congestion. In order to avoid channel congestion and guarantee the vehicle safety requirements for each vehicle, in this paper, we propose a multi-agent coordinated channel resource allocation method based on multi-agent deep reinforcement learning method. In this method, each vehicle acts as an agent and interacts with communication environments to a learn channel congestion control strategy through updating deep Q-network (DQN). Experimental results show that with the designed reward and training procedure, the proposed method can achieve fair and efficient channel resource allocation for each vehicle under varying traffic conditions.

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On the Issue of Short-Term Forecasting of Vehicle Travel Time Along a Selected Segment of the Transport Network of an Urban Agglomeration

On the Issue of Short-Term Forecasting of Vehicle Travel Tim...

引用

Problems of Logistics, Management and Operation in the East-West Transport Corridor (PLMO), international conference on

作者： Ramin Rzayev Emil Ahmadov Laboratory of Information Decision Support Systems Institute of Control Systems Baku Azerbaijan Intelligent Transport Management Centre Ministry of Internal Affairs of the Republic of Azerbaijan Baku Azerbaijan

ISBN: (数字)9798350353099

ISBN: (纸本)9798350353105

The paper is devoted to solving the problem of analyzing and forecasting the parameters of traffic flows in the network of a large urban agglomeration. As one of these parameters, the average travel time for public transport vehicles along a selected segment of the Baku transport network is considered. The initial data is formed by processing and filtering the readings of the speed sensors of the Technical (computer) vision System of the city Intelligent Transport Management Centre, which monitors traffic in real time (every second during the day). The solution to the problem of short-term forecasting of the travel time is proposed, which is considered using both traditional methods of analysis, for example, the exponential smoothing method, and using neural network and fuzzy modeling methods. As the basic object of subsequent analysis, the corresponding time series is considered, reflecting the dynamics of changes in the time parameter for vehicles to travel through a limited segment of a transport network of the fixed length for a full day.

关键词： Fuzzy sets Smoothing methods Time series analysis Urban areas Sensor phenomena and characterization Predictive models Sensor systems Real-time systems Forecasting Vehicle dynamics

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On Real-Time Object Recognition by Single Image Dehazing Method Using Deep Learning Approach

On Real-Time Object Recognition by Single Image Dehazing Met...

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Advancement in Electronics & Communication Engineering (AECE), international conference on

作者： Shruti Pathak Amit Doegar Department of Computer Science National Institute of Technical Teachers Training and Research Chandigarh India

In the past decade, various haze removal techniques have been widely reported for object recognition. But hitherto little has been identified on the use of single image dehazing using transfer learning approach for object detection. Single image dehazing is an emerging computer vision technology which offers some of the extreme benefits over the existing techniques such as consumes less processing time, requires less space for real time dehaze purpose, etc. In this study, we combine both the object detection and image dehazing methods for real time applications such as-remote sensing, video surveillances, driverless automatic vehicles, etc. This paper presents an effective and efficient image dehazing method using transfer learning which helps to recognize objects in real time with more clarity and that can automatically detect objects with a high recognition rate and lesser probability of error. Our tests show that object detection becomes less accurate as the haze intensity increases; yet, under all haze circumstances (low, medium, or heavy), our jointly trained model AOD-net +YOLO v3 consistently outperforms non-joint and naïve YOLO v3 techniques.

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computer-vision Enabled Waste Management System for Green Environment 3

Computer-Vision Enabled Waste Management System for Green En...

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3rd international conference on Advancements in Computing, ICAC 2021

作者： Hewagamage, Pasindu Mihiranga, Amtih Perera, Dananjaya Fernando, Rahul Thilakarathna, Thusithanjana Kasthurirathna, Dharshana Sri Lanka Institute of Information Technology Department of Software Engineering Malabe10115 Sri Lanka

ISBN: (纸本)9781665408622

Waste management has become a critical requirement to maintain a green environment in Sri Lanka as well as other countries. Town councils have to regularly collect different types of wastes to clean cities/towns. Hence managing the waste of the cities is a challenging task. However, most of the urban councils currently use a manual approach to managing waste. However, it results in many difficulties for the people and cleaning staff who involve in the process by following strict guidelines. Issues due to waste contamination, no proper information management of waste collection, and no punctuality in removing waste from the garbage bins are some of the significant issues arising from the manual process. Due to the drawbacks of the manual approach, social issues, environmental issues, health issues can occur easily. This paper proposes a better solution to replace this manual system with an automated system to overcome these issues. Hence, the main objective of this research is to introduce an ICT-based innovative design that can be used to develop an effective waste management system in town councils. In the proposed model, we will introduce a computer vision-based smart waste bin system with real-Time monitoring that incorporates various technologies such as computer vision, sensor-based IoT devices, and geographical information system (GIS) related technologies. Our proposed solution consists of a waste bin system, which is capable of automated waste segregation. Our design facilitates the admin users to expand the waste bin kit by adding more waste categories in a user-friendly manner, making our product adaptive in any environment. At the same time, waste bins can notify the real-Time waste status. Our system generates the optimum collection routing path and displays it in a mobile app using those real-Time status details. We also demonstrate a low-cost prototype. © 2021 IEEE.

关键词： Machine learning

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Research on the motion law of rod pumps based on digital twin technology 3

Research on the motion law of rod pumps based on digital twi...

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3rd international conference on Intelligent control, Measurement and Signal Processing and Intelligent Oil Field, ICMSP 2021

作者： Shen, Fei Ren, Shuang Shuang Zhang, Xiang Yang Luo, Hong Wu Feng, Min Chao Fu, Zhan Bao Northwest Branch of China Petroleum Exploration and Development Research Institute Gansu Province Lanzhou730000 China Key Laboratory of Internet of Things CNPC

ISBN: (纸本)9781665437158

In the process of rod pump lifting, the study on the movement law of rod pump and the distribution of liquid pressure and velocity in the valve barrel of the rod pump is an important basis for judging whether the oil well is normal or not and putting forward effective measures. This paper uses the simulation software platform, combined with the physical model of the laboratory, digital modeling. At the same time, a digital twinning method based on digital twinning model is proposed to analyze the movement law of rod pump. This method can solve the transparency of the production site, and can also make quantitative analysis, draw conclusions of construction significance, and guide the site effectively. © 2021 IEEE.

关键词： computer software

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Active Lateral Riding Comfort control Strategies of High-Speed Train

Active Lateral Riding Comfort Control Strategies of High-Spe...

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Automation, Robotics and computer Engineering (ICARCE), international conference on

作者： Xianhui Su Yufei Zhang Hefei Rail Transit Group Operation Co. LTD Hefei China School of Handicraft Arts Shanghai China

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

Based on the lateral vibration control of bogie frame for improving hunting stability in high-speed trains, three control strategies including linear quadratic regulator (LQR) control, Fuzzy Proportional-Integral (Fuzzy-PI) control and Particle Swarm Optimization Proportional-Integral-Derivative (PSO-PID) control are compared in this study. For the simplified linear lateral dynamics model of single bogie, the control parameters under the three control strategies are acquired, then they are applied to the vehicle dynamics model co-simulated by the SIMPACK and MATLAB codes. The different train operating conditions are taken into account and the improvement of dynamics indexes under the three control strategies are evaluated from the aspects of lateral riding quality of the car body and lateral force of wheelsets. The results show that the three control strategies lead to obvious mitigation on lateral vibration, and the improvement of PSO-PID control is the most obvious, but the LQR control effect is the worst.

关键词： Vibrations Regulators Force Dynamics Mathematical models Stability analysis Vibration control Indexes Vehicle dynamics Robots

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Marketing Suite Powered by Blockchain and Recommendation Systems

Marketing Suite Powered by Blockchain and Recommendation Sys...

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Applied Artificial Intelligence and Computing (ICAAIC), international conference on

作者： Axill Ajay Dcunha Jessica Allen Gonsalves Lisban Robert Gonsalves Jason Johnson Gonsalves Nidhi Gaur Department of Computer Engineering St. Francis Institute of Technology Mumbai India

ISBN: (数字)9798350375190

ISBN: (纸本)9798350375206

The recent development of blockchain technology has accelerated innovation across several areas, with far-reaching ramifications for the field of marketing. This disruptive platform marks a shift from traditional marketing paradigms, encouraging accountability and trust among key stakeholders such as advertisers, influencers, content suppliers, and consumers. This platform empowers consumers while providing marketers with more chances to efficiently exploit targeted audience engagement by emphasizing data protection through the sophisticated encryption mechanisms inherent in the blockchain. Furthermore, the use of Artificial Intelligence (AI) improves marketing techniques by allowing for the delivery of individualized experiences and increasing conversion rates. Positioned at the forefront of the Web3 era, this innovative Web3 Marketing Suite encompasses a vision for a more inclusive and simplified marketing environment, establishing the framework for a new era of digital marketing innovation.

关键词： Industries Technological innovation Privacy Plagiarism Blockchains Security Stakeholders

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Modeling and control of a Two-Wheeled Robot Machine with a Handling Mechanism

Modeling and Control of a Two-Wheeled Robot Machine with a H...

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Sciences and Techniques of Automatic control and computer Engineering MI-STA, IEEE international Maghreb Meeting of the conference on

作者： Ahmed J. Abougarair Ifaw F. Buzkhar Electrical and Electronics Engineering University of Tripoli Tripoli Libya

The mathematical model of a two-wheeled robotic machine (TWRM) with five degrees of freedom (DOF) is utilized in this paper to enlarge the workspace and enhance the robot’s flexibility. The suggested machine features five degrees of freedom (DOFs), which makes it suitable for pick-and-place, material handling, and packing tasks in the workplace. The proposed architecture will make it more difficult to control the system to account for the center of mass’ (COM) location changing as a result of managing tasks that must be performed in multiple directions. The state space model was created by linearizing the non-linear modeling equations at the equilibrium point using the Lagrangian modeling. Numerous controllers, including the proportional-integral-derivative (PID), linear-quadratic regulator (LQR), and PID with LQR methods, were tested in order to stabilize the robot. The PID with LQR technique, where PID was used as a feedforward to control the intermediate body (IB) and end-effector and LQR was used as state feedback to regulate all states. These controllers were evaluated while taking into account a variety of circumstances (disturbance signals, tracking pathways, and moving actuators). In terms of least overshoot, rising time, and applied input forces, simulation results showed that PID with LQR controller tuned performed better than the other two control systems.

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