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The Inevitability of an International Regulatory Framework for Artificial intelligence

The Inevitability of an International Regulatory Framework f...

引用

2019 International Conference on automation, computational and Technology Management, ICACTM 2019

作者： Sethu, Sagee Geetha Department of Law Amity University Dubai United Arab Emirates

ISBN: (纸本)9781538680100

AI is impacting humans in ways that have been unheard of. AI applications are now capable of being used in the manufacture and functioning of autonomous weapons, specifically in the Lethal Autonomous Weapons System (LAWS). There is lack of regulation in this regard and in order for any regulatory framework that can be out in place, it is imperative that certain basic principles of control have to be clarified, particularly the principle of 'meaningful human control'. This paper attempts to establish the need for an international regulatory framework for artificial intelligence in the context of lethal autonomous weapons systems and meaningful human control. © 2019 ieee.

关键词： Artificial intelligence

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Self-Adaptive Parameter control in Genetic Algorithms Based on Entropy and Rules of Nature for Combinatorial Optimization Problems

Self-Adaptive Parameter Control in Genetic Algorithms Based ...

引用

ieee symposium Series on computational intelligence (SSCI)

作者： Sun, Shengjie Lu, Hui Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China

ISBN: (纸本)9781728124858

The parameter control problem is crucial to the performance of genetic algorithms. In this paper, we propose a self-adaptive approach based on entropy and rules of nature to control the parameters of algorithms. This approach utilizes the entropy of both the population and each genetic locus as the feedback to evaluate the state of algorithms. Then, parameters are adjusted according to the state of algorithms and rules of nature. This strategy avoids the impact of randomness when evaluating the status of algorithms and tracks the development of each gene in time to prevent premature and nonconvergence on a certain gene. Furthermore, this method can not only maintain the solutions with good quality but also increase the probability that the solutions with poor quality change. The experimental results demonstrate that the proposed parameter-controlling strategy is valid for the algorithm to enhance the performance for solving a variety of combinatorial optimization problems.

关键词： combinatorial optimization parameter control genetic algorithms information entropy rules of nature

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A Multifarious Design of a Microcontroller Based Home Security and automation System 11

A Multifarious Design of a Microcontroller Based Home Securi...

引用

11th International Conference on computational intelligence and Communication Networks (CICN)

作者： Islam, Ahmed Rohani Bhowmick, Kajol Sikder, Debalina Zaman, Hasan U. North South Univ Dept ECE Dhaka Bangladesh

ISBN: (纸本)9781538684399

This research aims to provide low cost, efficient automation and security system for home by using Arduino. Home automation means controlling the activities of home appliances and features automatically in a predetermined technique. It initially involves the control and automation of systems that ensure human comforts such as lighting, fire extinguisher, air conditioning, and security. This smart technology helps to get desired security and brings comfort in daily life. Commercial home automation systems are still not affordable for middle -class families in developing countries. Thankfully, with the availability of cheap microcontrollers, like Arduino, it has enabled an easy implementation of low-cost home automation systems including all the features those are added to those high end and commercial devices for home automation and security management. In this paper, we present a simple, low cost and multi-functional home automation system based on Arduino microcontroller. The whole system can be operated with the help various effective sensors which detect problems and on the other hand, takes a step to fix them. This project also includes a Bluetooth module and Arduino Bluetooth controller application with which the functions are executed.

关键词： Arduino Home Security automation controlled Technique Sensors

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Stationary bipartite consensus of second-order multi-agent systems: an impulsive approach

Stationary bipartite consensus of second-order multi-agent s...

引用

ieee symposium Series on computational intelligence (SSCI)

作者： Li, Zhen Wang, Wenqing Fan, Yongqing Zhang, Wenle Xian Univ Posts & Telecommun Sch Automat Xian 710121 Peoples R China East China Univ Sci & Technol Key Lab Adv Control & Optimizat Chem Proc Shanghai 200237 Peoples R China

ISBN: (纸本)9781728124858

This paper studies the stationary bipartite consensus problem of a kind of multi-agent systems with second-order dynamics, where the impulsive control approach is utilized to design the control protocol. The impulsive control law is only considered by using position-based information, and the structure of control law is induced by a structurally balanced graph. Then, the stationary bipartite consensus problem has been converted to a convergence problem with respect to a finite product of stochastic matrices. By using the norm matrix and convex theory, this convergence problem is proven to be stability, which means that the stationary bipartite consensus problem is ensured. Subsequently, a numerical example is given to show the obtained result.

关键词： Bipartite consensus impulsive control method second-order multi-agent system

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Intelligent Crater Detection on Planetary Surface Using Convolutional Neural Network

Intelligent Crater Detection on Planetary Surface Using Conv...

引用

ieee Advanced Information Technology, Electronic and automation control Conference (IAEAC)

作者： Yitian Wu Gang Wan Lei Liu Zhanji Wei Shuai Wang Space Engineering University Beijing China

ISBN: (数字)9781728180281

ISBN: (纸本)9781728180298

Crater extraction and recognition is an important research content of deep space planetary science. Traditional crater detection algorithms (CDAs) are mainly based on crater feature construction which relies on high-quality data. With the application of deep learning in image recognition and semantic segmentation, new ideas have been brought to meteorite crater extraction. Many crater extraction algorithms based on artificial intelligence have been proposed which greatly simplifies the crater extraction process and improves detection accuracy. However, with the improvement of the accuracy, the convolution kernels become more and more, and the huge parameters and the consumption of storage and computing resources limit the application of these algorithms in mobile device. In order to solve this problem, we propose a compact crater extraction network based on model pruning. In the combination of U-Net and residual block, the network structure is optimized under the premise of retaining the longitude of large model extraction, and the balance of hardware resources and algorithm accuracy is achieved. The experimental results show that we compress the model to 4.9% of raw size and only lose almost 0.5% accuracy. It provides a reference for the application of CDAs on resource constrained platforms.

关键词： computational modeling Semantics Neural networks Feature extraction Mobile handsets Detection algorithms Optimization

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Distributed Average Tracking with Event-Triggered Algorithms of Multi-Agent Systems

Distributed Average Tracking with Event-Triggered Algorithms...

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ieee symposium Series on computational intelligence (SSCI)

作者： Xian, Chengxin Zhao, Yu Northwestern Polytech Univ Sch Automat Xian Peoples R China Northwestern Polytech Univ Res & Dev Inst Qingdao Peoples R China

ISBN: (纸本)9781728124858

Distributed average tracking (DAT) problems are investigated for general linear dynamical systems under undirected connected topology in this paper. A kind of distributed event-triggered DAT algorithms with static gain is designed by using model-based local sampled state information. The control objective of the considered DAT problem is achieved by using the proposed event-triggered DAT algorithms. Meanwhile, the Zeno behavior is excluded. Finally, a simulation example is presented to validate the proposed control laws.

关键词： distributed average tracking multi-agent systems event-triggered control

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A Linear Extended State Observer-based Fuzzy Fault tolerant controller for Autonomous Underwater Vehicle

A Linear Extended State Observer-based Fuzzy Fault tolerant ...

引用

ieee symposium Series on computational intelligence (SSCI)

作者： Li, Xiao-Gang Wang, Hong-Du Li, Ming Karkoub, Masour Ocean Univ China Coll Engn Qingdao Peoples R China Texas A&M Univ Qatar Mech Engn Doha Qatar

ISBN: (纸本)9781728124858

A linear extended state observer (LESO) based fuzzy fault tolerant control (FTC) scheme is designed for an over-actuated autonomous underwater vehicle (AUV) to address the faults of actuators. In this scheme, both the faults of the actuators and other immeasurable disturbances are lumped into a generalized total disturbance, which is then estimated by a LESO. Next, the thruster forces of the over-actuated system are reallocated to keep the AUV tracking of the desired trajectory. To tune the parameters of the proposed scheme, a fuzzy logic controller is developed to make sure the parameters of the scheme achieve online self-tuning.

关键词： autonomous underwater vehicle (UAV) total disturbance linear extended state observer (LESO) fuzzy fault tolerant control

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An Intelligent Maritime Scene Frame Prediction Based on Digital Twins Technology

An Intelligent Maritime Scene Frame Prediction Based on Digi...

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Digital Twins and Parallel intelligence (DTPI), ieee International Conference on

作者： Zhong-Zheng Guo Kai Wang Jiang-Yi Qin Xian-Bin Li De-Chao Ran Yu Shen Unmanned Systems Research Center National Innovation Institute of Defense Technology Academy of Military Science Beijing China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

This paper proposes a scene frame prediction system based on digital twin technology. The system is mainly composed of an unmanned perception module, a communication link module, a command center module that provides intelligent computing services, and an interaction and visualization module for human operators. These modules together constitute a system for predicting and recovery the time-series matrix composed of scene frames and object frames. At the same time, in view of the current problems of lack of real-time information and long response time in the maritime search and rescue (SAR) field, this paper instantiates the above system to improve the existing SAR system. Satellites and unmanned vehicles perceive part of the scene data of the real cyber-physical system in real-time and divide them into multiple frames according to the timestamps. In addition, this paper also proposes an environmental graph-attention network (Env-GAT) to achieve efficient and reliable frame predicting. Finally, this paper verifies that the performance of the spatiotemporal attention graph network model has reached the optimal level through computational experiments.

关键词： Satellites Digital twin Conferences Unmanned vehicles Search problems Real-time systems Trajectory

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A Contribution-based Resource Allocation Scheme for Multi-population Methods in Dynamic Environments 2

A Contribution-based Resource Allocation Scheme for Multi-po...

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2nd International Conference on Industrial Artificial intelligence, IAI 2020

作者： Peng, Mai Li, Changhe Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (数字)9781728182162

ISBN: (纸本)9781728182162

The multi-population method is a common method for solving dynamic optimization problems. However, to design an efficient multi-population method, one of the challenging issues is how to allocate computational resources between populations given a limited computing buget in dynamic environments. This paper designs a contribution-based resource allocation mechanism. In this mechanism, a contribution degree of a population is defined according to the performance of the population, which determines the probability of the population to obtain the computing resource. This mechanism is implemented in an adaptive multi-population method. Experimental results on the moving peaks benchmark show that the algorithm equipped with the resource allocation mechanism outperforms the original algorithms. © 2020 ieee.

关键词： Resource allocation

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Stability Analysis of Fuzzy Sampled Data System

Stability Analysis of Fuzzy Sampled Data System

引用

ieee symposium Series on computational intelligence (SSCI)

作者： Tan, Lihua Wang, Xin Huang, Junjian Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China Chongqing Univ Educ Key Lab Machine Percept & Childrens Intelligence Chongqing 400067 Peoples R China

ISBN: (纸本)9781728124858

In this paper, the stabilization problem of chaotic system is investigated via fuzzy sampled control. To reduce the unnecessary sampled packet transmissions, the event-triggered communication architecture is applied. Based on the discrimination between the membership functions at sampled data transmission instant and at non-transmission instant is universal, in order to well compensate it, the fuzzy time-dependent Lyapunov functional is introduced. Moreover, the further stabilization result is given and the fuzzy sampled controller is also presented. Finally, a simulation result is presented to illustrated the effectiveness and practicability of our results.

关键词： Stabilization Chaotic system Lyapunov functional

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