Real- Time Color Enhancement Method Used for Intelligent Mobile Terminals

In certain environments and under some conditions, the video images taken by the intelligent mobile video phones seem dark, and the colors are not bright or saturated enough.This paper presents an adaptive method to enhance the video image brightness visualization and the color performance depending on the certain hardware property and function parameters. The experimental results prove that this method can enhance the colors and the contrast of the video images, based on the estimated quality feature values of each frame, without using the extra Digital Signal Processor (DSP).

Architecture of Intelligent Grouping and Resource Sharing Standard

The Intelligent Grouping and Resource Sharing (IGRS) standard is set to enable intelligent grouping, resource sharing and services collaboration among information devices. An IGRS system adopts open architecture, that is, the devices abide by the IGRS standard are interoperable with devices following other standards such as Universal Plug and Play (UPnP). The IGRS supports multiple application frameworks and special applications. Developers can use an IGRS media application framework with various media format standards, such as AVS and MPEG-2, to develop multimedia applications. Applied among computers, consumer electronics, and communication devices, the IGRS standard can realize resource sharing and services collaboration in a certain range of wired or wireless network domain.

Impact of NGN Architecture by Intelligent Terminals

This paper discusses the impacts on the existing NGN network architecture by the intelligent terminals or NGN terminals. An economical and simple network with multitudes of services can be realized if terminal intelligence is utilized for functions traditionally performed by the network. The existing terminals without required intelligence can also be supported via terminal emulation at the edge of the network. Communication is established between the interested parties by the combined efforts of the NGN terminals and the network. A possible network architecture where the NGN terminals and NGN network co-operation is suggested. The benefits for such network, such as increased network robustness, interoperability and scalability, are explored in this paper.

Five association standards for intelligent household appliances released

Five association standards for refrigerator,air conditioner,washing machine and electric water heater were offcially released at the China Intelligent Household Appliances and Technology Summit on November 24,2017.The standards were developed under the eforts of China Household Electric Appliances Research Institute,

China and Germany further boost intelligent manufacturing standardization

The 5th Meeting of Sino-German Standardization Sub-working Group on Intelligent Manufacturing/Industry 4.0 was held in Hangzhou,capital of east China’s Zhejiang province from December 3 to 4,2017,bringing together over 90 representatives of both countries.

Controlling chaos based on a novel intelligent integral terminal sliding mode control in a rod-type plasma torch

An integral terminal sliding mode controller is proposed in order to control chaos in a rod-type plasma torch system.In this method, a new sliding surface is defined based on a combination of the conventional sliding surface in terminal sliding mode control and a nonlinear function of the integral of the system states. It is assumed that the dynamics of a chaotic system are unknown and also the system is exposed to disturbance and unstructured uncertainty. To achieve a chattering-free and high-speed response for such an unknown system, an adaptive neuro-fuzzy inference system is utilized in the next step to approximate the unknown part of the nonlinear dynamics. Then, the proposed integral terminal sliding mode controller stabilizes the approximated system based on Lyapunov＇s stability theory. In addition, a Bee algorithm is used to select the coefficients of integral terminal sliding mode controller to improve the performance of the proposed method. Simulation results demonstrate the improvement in the response speed, chattering rejection, transient response,and robustness against uncertainties.

The Intelligent Terminal Design for Integrated Substation Auxiliary System

The integrated substation auxiliary system is a project composed by software and hardware to help operators of a substation carry daily maintain works. The intelligent terminal is the key part of the system and it provides important UI and communication functions for the user. Smart phones can achieve higher bandwidth data communication, and at the same time can carry Bluetooth communication, video call, multimedia display and other functions. Smart phone is a potential common platform, suitable for the deployment of substation integrated auxiliary system terminal. Based on the Android Smart phone platform, this paper develops intelligent client-side software for the integrated substation auxiliary system and it can realize the operation ticket control, the video call, the substation map display and other functions. This client-side software has been applied in practice, and has gained good effects.

A Discussion on the Practical Teaching Reform of Intelligent Mobile Terminal Technology Course

In this intelligent era,there is a high market demand for professional engineering talents in the computer industry.Based on engineering education accreditation,this paper briefly discusses the practical teaching reform of the intelligent mobile terminal technology course,which involves integrating theory with practical,taking students as the center,focusing on practical teaching,strengthening students’practical skills and computer application development skills,as well as promoting the construction and development of engineering accreditation.

Research on elderly-oriented standards of intelligent technology

Population aging will become the new normal of the world.Intelligent devices and services bring rich Life to the elderly,but it is accompanied by use barriers.Focusing on the elderly-oriented adaptation of intelligent technology,this paper introduces the progress of elderly-oriented standardization of key standards organizations.From the perspective of technology and application development,it proposes a dynamic and extensible elderlyoriented standards system of intelligent technology,including general foundation,key technology,auxiliary management,testing and certification,and industry application.Finally,it points out the critical work direction of the elderly-oriented standards of intelligent technology.

Machine learning for predicting the outcome of terminal ballistics events

Machine learning(ML) is well suited for the prediction of high-complexity,high-dimensional problems such as those encountered in terminal ballistics.We evaluate the performance of four popular ML-based regression models,extreme gradient boosting(XGBoost),artificial neural network(ANN),support vector regression(SVR),and Gaussian process regression(GP),on two common terminal ballistics’ problems:(a)predicting the V50ballistic limit of monolithic metallic armour impacted by small and medium calibre projectiles and fragments,and(b) predicting the depth to which a projectile will penetrate a target of semi-infinite thickness.To achieve this we utilise two datasets,each consisting of approximately 1000samples,collated from public release sources.We demonstrate that all four model types provide similarly excellent agreement when interpolating within the training data and diverge when extrapolating outside this range.Although extrapolation is not advisable for ML-based regression models,for applications such as lethality/survivability analysis,such capability is required.To circumvent this,we implement expert knowledge and physics-based models via enforced monotonicity,as a Gaussian prior mean,and through a modified loss function.The physics-informed models demonstrate improved performance over both classical physics-based models and the basic ML regression models,providing an ability to accurately fit experimental data when it is available and then revert to the physics-based model when not.The resulting models demonstrate high levels of predictive accuracy over a very wide range of projectile types,target materials and thicknesses,and impact conditions significantly more diverse than that achievable from any existing analytical approach.Compared with numerical analysis tools such as finite element solvers the ML models run orders of magnitude faster.We provide some general guidelines throughout for the development,application,and reporting of ML models in terminal ballistics problems.

Research on Key Points of Design of Standard Plants in Modern Industrial Parks Under the Background of Promoting the Development of New Quality Productive Forces

With the progress of science and technology and the acceleration of industrialization,the modern industrial park is an important carrier of industrial development.The importance of its standard plant design has become increasingly prominent.With the development of new quality productive forces as the background,this research deeply discusses the key points of standard plant design in modern industrial parks.This paper uses literature review and case analysis to systematically analyze the important role of standard plant design in developing new quality productive forces in modern industrial parks and puts forward suggestions for optimizing design.It is found that the rationality,intelligence,and environmental protection of plant design are the key factors affecting the development of new quality productive forces.The paper summarizes the core points of modern industrial park standard plant design to provide a reference for the future development of related industries.

Design and Implementation of Mobile Intelligent Hidden Danger Inspection System

With the increasing development of Internet technology,computer Internet,intelligent terminal,cloud computing and other new technologies continue to emerge.All kinds of app based on mobile intelligent terminal are widely used because of its convenience and intelligence.However,for the safety of the coal industry,how to use these technologies based on mobile intelligent terminal to establish a set of efficient long-term mechanism of safety inspection and risk control is a necessary method to upgrade the safety management mode.Therefore,in order to meet the requirements of hidden danger investigation and management,this paper designs an intelligent hidden danger investigation and management system.Based on Ionic,the system constructs a cross platform mixed mode mobile app development framework.The paper shows that the system can realize the basic hidden danger investigation requirements.

Smart Society and Artificial Intelligence:Big Data Scheduling and the Global Standard Method Applied to Smart Maintenance

The implementation of artificial intelligence(AI)in a smart society,in which the analysis of human habits is mandatory,requires automated data scheduling and analysis using smart applications,a smart infrastructure,smart systems,and a smart network.In this context,which is characterized by a large gap between training and operative processes,a dedicated method is required to manage and extract the massive amount of data and the related information mining.The method presented in this work aims to reduce this gap with near-zero-failure advanced diagnostics(AD)for smart management,which is exploitable in any context of Society 5.0,thus reducing the risk factors at all management levels and ensuring quality and sustainability.We have also developed innovative applications for a humancentered management system to support scheduling in the maintenance of operative processes,for reducing training costs,for improving production yield,and for creating a human–machine cyberspace for smart infrastructure design.The results obtained in 12 international companies demonstrate a possible global standardization of operative processes,leading to the design of a near-zero-failure intelligent system that is able to learn and upgrade itself.Our new method provides guidance for selecting the new generation of intelligent manufacturing and smart systems in order to optimize human–machine interactions,with the related smart maintenance and education.

Reconfigurable intelligent surfaces for wireless communications:Overview of hardware designs,channel models,and estimation techniques

The demanding objectives for the future sixth generation(6G)of wireless communication networks have spurred recent research efforts on novel materials and radio-frequency front-end architectures for wireless connectivity,as well as revolutionary communication and computing paradigms.Among the pioneering candidate technologies for 6G belong the reconfigurable intelligent surfaces(RISs),which are artificial planar structures with integrated electronic circuits that can be programmed to manipulate the incoming electromagnetic field in a wide variety of functionalities.Incorporating RISs in wireless networks have been recently advocated as a revolutionary means to transform any wireless signal propagation environment to a dynamically programmable one,intended for various networking objectives,such as coverage extension and capacity boosting,spatiotemporal focusing with benefits in energy efficiency and secrecy,and low electromagnetic field exposure.Motivated by the recent increasing interests in the field of RISs and the consequent pioneering concept of the RIS-enabled smart wireless environments,in this paper,we overview and taxonomize the latest advances in RIS hardware architectures as well as the most recent developments in the modeling of RIS unit elements and RIS-empowered wireless signal propagation.We also present a thorough overview of the channel estimation approaches for RIS-empowered communications systems,which constitute a prerequisite step for the optimized incorporation of RISs in future wireless networks.Finally,we discuss the relevance of the RIS technology in the latest wireless communication standards,and highlight the current and future standardization activities for the RIS technology and the consequent RIS-empowered wireless networking approaches.

Performance analysis on reconfigurable intelligent surface and network-controlled repeater in 3GPP release-18

As a candidate technique to achieve sixth-generation wireless communication(6G),reconfigurable intelligent surface(RIS)has become popular in both academia and industry.For better exploration of the advantages of RIS,we compare the performances of RIS and network-controlled repeater(NCR)in 3GPP release-18.We first theoretically analyze the received signal power and signal-to-noise ratio performances for both RIS and NCR.Then,we simulate the reference signal received power and signal-to-interference-and-noise ratio performances at the system level for both RIS and NCR in the frequency range 1 and frequency range 2 bands.Finally,several insights on engineering applications are given based on the comparison between RIS and NCR.

Fully automatic container terminals of Shanghai Yangshan Port phase Ⅳ

1 About Shanghai Yangshan Deepwater Port phase Ⅳ Engineering Shanghai Yangshan Deepwater Port phase Ⅳ Engineering(hereinafter referred to as"Yangshan phase Ⅳ"),is located in Hangzhou Bay of Pudong New Area,Shanghai,China.Embanked by the East Sea Bridge in the north,the engineering is in the west most area of Yangshan Deepwater Port and sits on the reclaimed land along the Kezhushan Island-Great Turtle Island-Turtle Island line,covering 2.23×10^6 m^2 in total with a width of around 500 m.

Key Technology Research for Mobile Police Terminal Fingerprint Collection for Quick Comparison Using Automated Fingerprint Identification System

When the face of the inspected person and the photograph on their identification(ID)card cannot be clearly matched,the individual is undocumented,or the ID is forged,it is often difficult for the on‑site police to respond in time.This study proposes a number of key technologies for collecting fingerprints at mobile terminals for fast comparison using an automated fingerprint ID system(AFIS).These technologies ensure intelligent mobile fingerprint collection and allow the transmission of fingerprint information from the terminal to AFIS,over a wireless public security network for real‑time fingerprint comparison.This study also analyzes the feasibility and effectiveness of the proposed technologies for system design and the applicability of fingerprint ID algorithms.The system achieved good results in a test by the Shanghai Public Security Bureau Criminal Investigation Corps.

Unified stabilizing controller synthesis approach for discrete-time intelligent systems with time delays by dynamic output feedback

A novel model, termed the standard neural network model （SNNM）, is advanced to describe some delayed （or non-delayed） discrete-time intelligent systems composed of neural networks and Takagi and Sugeno （T-S） fuzzy models. The SNNM is composed of a discrete-time linear dynamic system and a bounded static nonlinear operator. Based on the global asymptotic stability analysis of the SNNMs, linear and nonlinear dynamic output feedback controllers are designed for the SNNMs to stabilize the closed-loop systems, respectively. The control design equations are shown to be a set of linear matrix inequalities （LMIs） which can be easily solved by various convex optimization algorithms to determine the control signals. Most neural-network-based （or fuzzy） discrete-time intelligent systems with time delays or without time delays can be transformed into the SNNMs for controller synthesis in a unified way. Three application examples show that the SNNMs not only make controller synthesis of neural-network-based （or fuzzy） discrete-time intelligent systems much easier, but also provide a new approach to the synthesis of the controllers for the other type of nonlinear systems.

教育通用人工智能大模型标准体系框架研制

当前,人工智能大模型在各领域迅猛发展,其中教育领域的人工智能大模型虽然能够在知识生产、知识计算和知识服务方面完成多种智能任务以提供教学辅助,但其在功能构建、数据收集与管理、教学测评和应用等方面仍存在局限,同时缺乏适用于多个教育场景的通用人工智能大模型。基于此,文章从人工智能的发展和标准化的现状出发,对教育通用人工智能大模型的概念、原则和属性做出界定,并提出教育通用人工智能大模型标准体系,包括总体框架、信息模型、数据规范、测评规范和教学应用要求等,以从指导角度对教育通用人工智能大模型的研发、应用、管理和评估进行规范。文章通过研究,旨在规范通用人工智能大模型在教育领域的应用与发展,赋能、赋智于教育,推动教育的高质量发展。

Standards Expected to Boost Development of Artificial Intelligence

The State Council,China's Cabinet issued the Development Plan for the New Generation of Artificial Intelligence(Plan for short)on July 20,2017.The Plan vows to reach the advanced world level in overall technology and application of AI and initially build AI technical standards and service system by 2020.