Human Cyber Physical Systems(HCPSs)in the Context of New-Generation Intelligent Manufacturing

An intelligent manufacturing system is a composite intelligent system comprising humans,cyber systems,and physical systems with the aim of achieving specific manufacturing goals at an optimized level.This kind of intelligent system is called a human-cyber-physical system(HCPS).In terms of technology,HCPSs can both reveal technological principles and form the technological architecture for intelligent manufacturing.It can be concluded that the essence of intelligent manufacturing is to design,construct,and apply HCPSs in various cases and at different levels.With advances in information technology,intelligent manufacturing has passed through the stages of digital manufacturing and digital-networked manufacturing,and is evolving toward new-generation intelligent manufacturing(NGIM).NGIM is characterized by the in-depth integration of new-generation artificial intelligence(AI)technology(i.e.,enabling technology)with advanced manufacturing technology(i.e.,root technology);it is the core driving force of the new industrial revolution.In this study,the evolutionary footprint of intelligent manufacturing is reviewed from the perspective of HCPSs,and the implications,characteristics,technical frame,and key technologies of HCPSs for NGIM are then discussed in depth.Finally,an outlook of the major challenges of HCPSs for NGIM is proposed.

Toward New-Generation Intelligent Manufacturing

Intelligent manufacturing is a general concept that is under continuous development. It can be categorized into three basic paradigms： digital manufacturing, digital-networked manufacturing, and newgeneration intelligent manufacturing. New-generation intelligent manufacturing represents an indepth integration of new-generation artificial intelligence （AI） technology and advanced manufacturing technology. It runs through every link in the full life-cycle of design, production, product, and service. The concept also relates to the optimization and integration of corresponding systems; the continuous improvement of enterprises＇ product quality, performance, and service levels; and reduction in resources consumption. New-generation intelligent manufacturing acts as the core driving force of the new indus- trial revolution and will continue to he the main pathway for the transformation and upgrading of the manufacturing industry in the decades to come. Human-cyher-physical systems （HCPSs） reveal the tech- nological mechanisms of new-generation intelligent manufacturing and can effectively guide related the- oretical research and engineering practice. Given the sequential development, cross interaction, and iterative upgrading characteristics of the three basic paradigms of intelligent manufacturing, a technol- ogy roadmap for ＂parallel promotion and integrated development＂ should he developed in order to drive forward the intelligent transformation of the manufacturing industry in China.

Connotation and Characteristics of Employment Ability of New-generation Migrant Workers in China

Based on China's special conditions and characteristics of specific group of new-generation migrant workers,this article researches connotation of employment ability of new-generation migrant workers in China,that is,the connotation of employment ability of new-generation migrant workers in China should include four aspects:professional knowledge and skills,learning capacity,adaptability and environmental force.On this basis,through the analysis of indicators concerning connotation of employment ability,we get the overall characteristics of employment ability of new-generation migrant workers in China and reason responsible for its serious weakness.Finally we put forward corresponding countermeasures as follows:impart professional knowledge and skills;promote learning capacity;foster adaptive capacity;improve employment environment.

New-generation Migrant Workers' Urban Adaptation: A Case Study of Jianggan District in Hangzhou City

New-generation migrant workers are the " elite" among migrant workers,and whether they can really adapt to the city is one of the real problems to be urgently solved during China's new urbanization,related to the success of new urbanization construction. From the perspective of livelihood capital,this paper uses the measuring indicators in line with the new-generation migrant workers' livelihood characteristics,to analyze the typical characteristics and causes of new-generation migrant workers' urban adaptation in Jianggan District of Hangzhou City based on field survey data. In the study,it is found that the new-generation migrant workers' urban adaptation characteristics are focused on life adaptation,work adaptation and cultural adaptation,but the adaptation in the three areas is not good and there is a big room for improvement.

Pervasive Services in New-generation Internet:Mechanisms and Key Technologies

The original infrastructure of the Internet can no longer meet personalized and diversified demands of current increasing network subscribers. It has exposed many defects and shortcomings. For examples, the mechanism of using ports to distinguish services is inflexible and dangerous with the emergence of various services; the current Internet architecture does not make use of the close relationship between network resources and services, but simultaneously maintains two processing systems for the resources and services respectively, wasting both subscribers’ time and network resources; the Internet class of services granularity is not fine enough, failing to meet personalized and diversified user demands. In order to solve these problems, this paper discusses the mechanisms and key technologies for pervasive services in the new-generation Internet. The paper focuses on the definition, classification and identifier design of personalized and diversified user services. The service identifier design fulfills the unified identifier and processing of various network services, discovers the close relationship between services and resources, and can offer personalized and diversified services according to users’ demands.

Theories and Key Technologies for New-generation Internet System

There exist serious problems in the trustworthiness (security, reliability, controllability and manageability) of the Internet. In order to solve these problems, a new-generation network architecture model, based on the research of the basic theories of new-generation Internet system, is proposed. The solution creates a switching routing model and theory for the new-generation Internet system, and defines the access identifier, generalized switching routing identifier and their mapping principles. It also establishes a pervasive service system architecture and theory, defines the service identifier, connection identifier and their mapping principles. This paper discusses key technologies for the new-generation Internet system, such as access control and management, trusted routing and Quality of Service (QoS), multi-streaming, and network monitoring and management.

高中英语读后续写WRITER教学模式构建研究

新高考实施以来,读后续写成为英语科目的新题型,高中英语教师正在积极探索针对读后续写题的教学模式。然而,对于读后续写题,教师尚未构建系统、有效的教学模式,学生也尚未掌握较好的学习策略。在高中英语课堂教学中,教师可以采取读后续写WRITER教学模式,以学生的自主提问驱动读后续写,从而提升学生的思维品质和英语读后续写能力。

Propulsion System of New-generation Small Rocket Passed First Test

Developed by the Academy of Aerospace Liquid Propulsion Technology (AALPT), the propulsion system for the new-generation light-lift liquid launch vehicle passed its first ground test firing on November 27, 2012 at the Beijing Institute of Aerospace Testing Technology. The event signifies that this is the only domestic static test-firing facility for rocket propulsion systems that can meet the development requirements for new-generation launch vehicles,

Writer’s Workshop写作模式对英语写作的影响

文中对某高校93名非英语专业本科生,进行了一项运用Writer’s Workshop写作模式来提高学生英语写作中内容知识和写作成绩的研究。研究结果表明,在大学英语写作中,使用该写作模式,既能提高学生的英语写作能力,也能激发他们的自主学习能力和合作能力。

Writer’s Workshop对研究生英语写作课程的启示

以美国大学中的Writer’s Workshop写作课程为案例,从如何培养和激励研究生的创新能力、自主学习能力和协作学习能力等方面介绍Writer’s Workshop课程的模式和流程,总结其对研究生英语写作课程的启示。

Writer Stance in Citations: An Ethnolinguistic and Paradigmatic Perspective

This study examines how writer stance is projected in citation from a comparative perspective.The dataset consisted of 120 qualitative and quantitative research articles(RAs)that were authored by Anglophone and Chinese applied linguists.ANO?VA tests revealed marked cross-language and cross-paradigmatic differences in stance-based dialogic engagement.

Science Writer:一款基于网络技术的互动式研究报告撰写工具——以卡通代理人黄狗“Max”的研究报告撰写为例

研究报告的撰写能力是中小学生各学科和综合实践活动学习的必备能力,但目前我国在中小学生研究报告撰写能力的培养方面还存在许多问题。为此,文章引入了一款在美国较为成熟的基于网络技术的互动式研究报告撰写工具——Science Writer。文章首先介绍了Science Writer工具的结构组成及其在研究报告初稿、修改和校对三个环节撰写时的应用;随后以卡通代理人黄狗“Max”的研究报告撰写为例,分析了此工具的具体应用过程;最后梳理了此工具的应用特点和存在的问题,以期为我国中小学生研究报告撰写工具的开发提供参考。

Hybrid Trainable System for Writer Identification of Arabic Handwriting

Writer identification(WI)based on handwritten text structures is typically focused on digital characteristics,with letters/strokes representing the information acquired from the current research in the integration of individual writing habits/styles.Previous studies have indicated that a word’s attributes contribute to greater recognition than the attributes of a character or stroke.As a result of the complexity of Arabic handwriting,segmenting and separating letters and strokes from a script poses a challenge in addition to WI schemes.In this work,we propose new texture features for WI based on text.The histogram of oriented gradient(HOG)features are modified to extract good features on the basis of the histogram of the orientation for different angles of texts.The fusion of these features with the features of convolutional neural networks(CNNs)results in a good vector of powerful features.Then,we reduce the features by selecting the best ones using a genetic algorithm.The normalization method is used to normalize the features and feed them to an artificial neural network classifier.Experimental results show that the proposed augmenter enhances the results for HOG features and ResNet50,as well as the proposed model,because the amount of data is increased.Such a large data volume helps the system to retrieve extensive information about the nature of writing patterns.The affective result of the proposed model for whole paragraphs,lines,and sub words is obtained using different models and then compared with those of the CNN and ResNet50.The whole paragraphs produce the best results in all models because they contain rich information and the model can utilize numerous features for different words.The HOG and CNN features achieve 94.2%accuracy for whole paragraphs with augmentation,83.2%of accuracy for lines,and 78%accuracy for sub words.Thus,this work provides a system that can identify writers on the basis of their handwriting and builds a powerful model that can help identify writers on the basis of their sentences,words,and sub words.

The Importance of Professional Training for Test Writers

The purpose of this essay was to explore the importance of professional training for test writers and teachers as well.Since both testing and teaching are so closely interrelated that it's impossible to work in either field without being constantly concerned with the other. Test writers need professional training to keep pace with emergence of new views of language teaching practice and the rapid change of social life, in order to make testing more authentic and more valid.

Readers/Writers问题的拓展研究及其P/V操作的实现

阐述了操作系统中读者—写者这个经典进程同步问题,首次提出了该问题的三种算法分析,重点探讨了用P/V操作实现该问题中公平竞争算法的方法,并给出了相应的算法分析及其与读者优先算法和写者优先算法的比较。

Supervised Feature Learning for Offline Writer Identification Using VLAD and Double Power Normalization

As an indispensable part of identity authentication,offline writer identification plays a notable role in biology,forensics,and historical document analysis.However,identifying handwriting efficiently,stably,and quickly is still challenging due to the method of extracting and processing handwriting features.In this paper,we propose an efficient system to identify writers through handwritten images,which integrates local and global features from similar handwritten images.The local features are modeled by effective aggregate processing,and global features are extracted through transfer learning.Specifically,the proposed system employs a pre-trained Residual Network to mine the relationship between large image sets and specific handwritten images,while the vector of locally aggregated descriptors with double power normalization is employed in aggregating local and global features.Moreover,handwritten image segmentation,preprocessing,enhancement,optimization of neural network architecture,and normalization for local and global features are exploited,significantly improving system performance.The proposed system is evaluated on Computer Vision Lab(CVL)datasets and the International Conference on Document Analysis and Recognition(ICDAR)2013 datasets.The results show that it represents good generalizability and achieves state-of-the-art performance.Furthermore,the system performs better when training complete handwriting patches with the normalization method.The experimental result indicates that it’s significant to segment handwriting reasonably while dealing with handwriting overlap,which reduces visual burstiness.

An Unsupervised Writer Identification Based on Generating Clusterable Embeddings

The writer identification system identifies individuals based on their handwriting is a frequent topic in biometric authentication and verification systems.Due to its importance,numerous studies have been conducted in various languages.Researchers have established several learning methods for writer identification including supervised and unsupervised learning.However,supervised methods require a large amount of annotation data,which is impossible in most scenarios.On the other hand,unsupervised writer identification methods may be limited and dependent on feature extraction that cannot provide the proper objectives to the architecture and be misinterpreted.This paper introduces an unsupervised writer identification system that analyzes the data and recognizes the writer based on the inter-feature relations of the data to resolve the uncertainty of the features.A pairwise architecturebased Autoembedder was applied to generate clusterable embeddings for handwritten text images.Furthermore,the trained baseline architecture generates the embedding of the data image,and the K-means algorithm is used to distinguish the embedding of individual writers.The proposed model utilized the IAM dataset for the experiment as it is inconsistent with contributions from the authors but is easily accessible for writer identification tasks.In addition,traditional evaluation metrics are used in the proposed model.Finally,the proposed model is compared with a few unsupervised models,and it outperformed the state-of-the-art deep convolutional architectures in recognizing writers based on unlabeled data.

A Writer and a Girl

One day a famous writer rgceived a letter from a little girl.Shewrote,“You’re the writer that I love best.I want to name my pug-dog (哈巴狗) after you.Is it all right?”The writer quickly wrote her a reply.“My dear,I don’t mind,

UNFORGETTABLE MEMORIESA Filipino writer’s teaching experiences in China across 20 years

Marco Antonio V. Lopezhas remarked thatif he were to writea memoir, three teachingexperiences in China would bean integral part. He considershis work teaching Filipinolanguage and culture inChinese universities duringthree different stints some ofthe most special achievementsin his life.China left an indelible markon the life of the renownedFilipino-language novelist,who has twice won theprestigious Carlos PalancaMemorial Award for Literature,the longest-running literarycontest in the Philippines,and has since served as ajury member for it. To Lopez,the word “China” meanscivilization, friendship andunforgettable memories acrosstwo decades.