A Speech Made by the Chairman of WCP International Industrial(Anhui)Co.Ltd.at its Opening Ceremony

What a fascinating and moving applause!What makes us more exciting isthat officials from provincial and municipal levels and friends from home andabroad have come to join us in celebrating this special festival.Ladies andgentlemen,on behalf of WCP,I’d like to extend my sincere thanks to you foryour greetings.

Beijing Huade Sealing Material Industrial Co.Ltd.

The Beijing Huade Sealing Material Industrial Corporation, Ltd. is a joint venture between the Beijing Hua Xin Development Company of the Beijing Chemical Group Corporation and a metal printing company based in Singapore. The corporation specializes in producing sealing material for metal packing pails.

Jiangsu Light Industrial Products I/E (Holding) Corporation Ltd.

The Jiangsu Light Industrial Products Import and Export (Holding) Corporation Ltd is the first provincial specialized foreign trade corporation in the economic and trade system of Jiangsu Province to practice the holding system. After adopting the holding system in 1993, the corporation saw a total import and export volume of US $ 270 million in that year, with

Occurrence, Damage and Control Strategies of Major Pests, Diseases and Weeds in Sugarcane Areas of Lincang Nanhua Sugar Industry Co., Ltd.

The pests, diseases and weeds in sugarcane areas of Lincang Nanhua Sugar Industry Co.,Ltd. were investigated at seedling stage, growth stage and maturity stage of sugarcane from 2012 to 2016. The occurrence and damage of diseases, pests and weeds were analyzed, and the problems in prevention and control were discussed based on the local conditions of sugarcane production. The species, occurrence and damage characteristics of diseases, pests and weeds were ascertained, and the corresponding strategies and technical measures were proposed.

Anhui Yaming Automobile Parts Co., Ltd. builds technology headquarters in Wuhu City, Anhui Province

The People's Government of Sanshan District, Wuhu City signed a cooperation agreement with Anhui Yaming Automobile Parts Co., Ltd., that the Yaming Automobile Technology Headquarters Base will officially settle in Sanshan District. The project is a planned total investment of CNY 300 million to build the second domestic production base of Yaming Automobile in Sanshan Economic Development Zone. According to the plan, the industrial base will start construction before the end of 2020. The total construction period is 18 months and is expected to be completed and put into production by 2022.

Developing Longchang Industry Co. , Ltd.

Longchang Industry Co.,,Ltd.of petroleum pipeline is one.of the standardized largeshare-system enterprises earliest organized and es-talblished in the onshore petroleum trade in China.It is the first to breakthrough the usual practice of drawing a dividend in each fiscal year.It implement-ed to draw dividend semi-annually in March of this year,and every shareholder received a payback of 10%.In the late year,16 enterprises were estab-lished through the modes of whole-funded,joint-funded and shared-in at home and abroad,among them there being four China-Foreign jointly funded enterprises attracting foreign funds of 3 million US dollars,and eight enterprises with high and new technologies were set up in Langfang Development Zone so that the Longchang Industry Park was founded.Some enterprises have been successively put into operation,and have attained obvious eco-nomic benefit.

Wang Ajin Jewel Industry And Trading Company,Ltd.

The Wang Ajin Jewel Industrial and Trading Company. Ltd. Jointly invested by the Xinjiang Uygur Autonomous Regional Investment Corporation, Alertai City Jewel Arts and Crafts General Corporation and Beijing Ji Hua Investment Administrative Corporation, is an arts and crafts enterprise combining mining, processing and marketing.

Unitex(Huizhou) Knitwear Industry Co.Ltd.

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China's Booming Machinery Industry——Modern enterprise management leading the Yantai CMC Bearings Co., Ltd. to prosperity

On July 3, 1994, recognized by the International DNV and the State Quality Appraisal Centre, the Yantai CMC Bearings Co., Ltd. was awarded the ISO9002 (87 version) certificate and gained three firsts—the first enterprise to obtain an ISO9002 certificate in the field of bearings production, in foreign trade circles and in Yantai: The ISO9002 (94 version) certificate was conferred on the enterprise after the first DNV reexamination in March 1995. Yearly growth in output and efficiency enables the enterprise to become the best in the bearings production field. It cannot be denied that the China National

A Discussion on Models of Co-action and Innovation of Government and Enterprises in Agricultural Industrialization——Taking Shandong Fengyu Edible Fungus Co.,Ltd as an Example

The development of agricultural industrialization is an effective way of optimizing rural industrial structure and increasing peasants＇ income. Taking Shandong Fengyu Edible Fungus Co.,Ltd as an example, the paper discusses the development and innovation of edible fungus industry in production models, management system and operational mechanism in Wucheng City. It is expected to be helpful for innovating the development of agricultural industrialization in China.

Intrusion Detection System for Smart Industrial Environments with Ensemble Feature Selection and Deep Convolutional Neural Networks

Smart Industrial environments use the Industrial Internet of Things(IIoT)for their routine operations and transform their industrial operations with intelligent and driven approaches.However,IIoT devices are vulnerable to cyber threats and exploits due to their connectivity with the internet.Traditional signature-based IDS are effective in detecting known attacks,but they are unable to detect unknown emerging attacks.Therefore,there is the need for an IDS which can learn from data and detect new threats.Ensemble Machine Learning(ML)and individual Deep Learning(DL)based IDS have been developed,and these individual models achieved low accuracy;however,their performance can be improved with the ensemble stacking technique.In this paper,we have proposed a Deep Stacked Neural Network(DSNN)based IDS,which consists of two stacked Convolutional Neural Network(CNN)models as base learners and Extreme Gradient Boosting(XGB)as the meta learner.The proposed DSNN model was trained and evaluated with the next-generation dataset,TON_IoT.Several pre-processing techniques were applied to prepare a dataset for the model,including ensemble feature selection and the SMOTE technique.Accuracy,precision,recall,F1-score,and false positive rates were used to evaluate the performance of the proposed ensemble model.Our experimental results showed that the accuracy for binary classification is 99.61%,which is better than in the baseline individual DL and ML models.In addition,the model proposed for IDS has been compared with similar models.The proposed DSNN achieved better performance metrics than the other models.The proposed DSNN model will be used to develop enhanced IDS for threat mitigation in smart industrial environments.

Development and Validation of Integrated Nutrient Management Practices of Industrial Processing Varieties: Asterix and Courage in Bangladesh

An experiment was meticulously conducted at the research field of Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh, during the 2011-2012 potato growing season to develop integrated crop management practices for the potato seed production of industrial processing varieties Asterix and Courage. Significantly, higher growth and yield parameters were found in the BADC-recommended practice. Later, another experiment was conducted to validate the BADC practice during the 2013-2014 potato growing season in two locations in Bangladesh. Results showed that the production of tuber per hill, tuber weight per hill as well as gross tuber yield per plot, higher proportion of storable seed tubers, and more quality seed potatoes (A-grade and B-grade) seed tubers were found significantly higher in the “BADC developed practice” compared to other treatments. Viral diseases (PLRV and PVY) prevalence was lower in “BADC developed practice”. Moreover, “BADC developed practice” contributed more economic yield by minimizing input cost compared to “Munshiganj advanced farmers’ practice”. Therefore, the “BADC developed practice” was found “superior” regarding yield, quality, and profitability in seed potato production of industrial varieties—Asterix and Courage in Bangladesh.

The Effect of Key Nodes on theMalware Dynamics in the Industrial Control Network

As industrialization and informatization becomemore deeply intertwined,industrial control networks have entered an era of intelligence.The connection between industrial control networks and the external internet is becoming increasingly close,which leads to frequent security accidents.This paper proposes a model for the industrial control network.It includes a malware containment strategy that integrates intrusion detection,quarantine,and monitoring.Basedonthismodel,the role of keynodes in the spreadofmalware is studied,a comparisonexperiment is conducted to validate the impact of the containment strategy.In addition,the dynamic behavior of the model is analyzed,the basic reproduction number is computed,and the disease-free and endemic equilibrium of the model is also obtained by the basic reproduction number.Moreover,through simulation experiments,the effectiveness of the containment strategy is validated,the influence of the relevant parameters is analyzed,and the containment strategy is optimized.In otherwords,selective immunity to key nodes can effectively suppress the spread ofmalware andmaintain the stability of industrial control systems.The earlier the immunization of key nodes,the better.Once the time exceeds the threshold,immunizing key nodes is almost ineffective.The analysis provides a better way to contain the malware in the industrial control network.

Attributes of Specialized Households'Resilience and Its Impact on Rural Industrial Advancement:A Case Study of National Musical Instrument Production Specialized Households in Lankao County,Henan,China

Specialized households serve as the primary units within specialized villages in China,and their capacity to withstand risks and external influences significantly shapes the future trajectory of specialized villages and the overall vitality of the rural economy.In this study,we established a measurement indicator system based on the definition of specialized households’resilience,elucidating the logical connection between specialized households’resilience and rural industrial development in China.The musical instrument industry in Lankao County,Henan Province of China,was employed as a case;survey data,the entropy method,and an obstacle diagnosis model were used to examine how instrument production specialized households responded to the challenges posed by Corona Virus Disease 2019(COVID-19)and the tightening of national environmental protection policies,yielding the following key findings:1)there exists substantial variation in the comprehensive resilience levels among different specialized households;2)the ability to learn and adapt is the most significant contributor to the overall resilience level of specialized households;3)technological proficiency and access to skilled talent emerge as pivotal factors influencing specialized households’resilience;4)the positioning of specialized households within the industrial supply chain and the stability of their income have a direct bearing on their resilience level.The influence of specialized households’resilience on industrial development primarily manifests in the following ways:stronger resilience correlates with increased stability in production and sales,fostering a more proactive approach to future actions.However,heightened exposure to the external macroeconomic environment can lead to a higher rate of export reduction.To enhance the development resilience of entities like specialized households and family farms,and to invigorate rural economic development,escalating investments in rural science and technology and prioritizing the training of technical talent become imperative.

How can technology and efficiency alleviate the dilemma of economic growth and carbon emissions in China's industrial economy? A metafrontier decoupling decomposition analysis

This paper attempts to explore the decoupling relationship and its drivers between industrial economic increase and energy-related CO_(2) emissions(ICE). Firstly, the decoupling relationship was evaluated by Tapio index. Then, based on the DEA meta-frontier theory framework which taking into account the regional and industrial heterogeneity and index decomposition method, the driving factors of decoupling process were explored mainly from the view of technology and efficiency. The results show that during2000-2019, weak decoupling was the primary state. Investment scale expansion was the largest reason hindering decoupling process of industrial increase from ICE. Both energy saving and production technology achieved significant progress, which facilitated the decoupling process. Simultaneously, the energy technology gap and production technology gap among regions have been narrowed, and played a role in promoting decoupling process. On the contrary, both scale economy efficiency and pure technical efficiency have inhibiting effects on decoupling process. The former indicates that the scale economy of China's industry was not conducive to improve energy efficiency and production efficiency, while the latter indicates that resource misallocation problem may exist in both energy market and product market.

A Deep Learning Approach to Industrial Corrosion Detection

The proposed study focuses on the critical issue of corrosion,which leads to significant economic losses and safety risks worldwide.A key area of emphasis is the accuracy of corrosion detection methods.While recent studies have made progress,a common challenge is the low accuracy of existing detection models.These models often struggle to reliably identify corrosion tendencies,which are crucial for minimizing industrial risks and optimizing resource use.The proposed study introduces an innovative approach that significantly improves the accuracy of corrosion detection using a convolutional neural network(CNN),as well as two pretrained models,namely YOLOv8 and EfficientNetB0.By leveraging advanced technologies and methodologies,we have achieved high accuracies in identifying and managing the hazards associated with corrosion across various industrial settings.This advancement not only supports the overarching goals of enhancing safety and efficiency,but also sets a new benchmark for future research in the field.The results demonstrate a significant improvement in the ability to detect and mitigate corrosion-related concerns,providing a more accurate and comprehensive solution for industries facing these challenges.Both CNN and EfficientNetB0 exhibited 100%accuracy,precision,recall,and F1-score,followed by YOLOv8 with respective metrics of 95%,100%,90%,and 94.74%.Our approach outperformed state-of-the-art with similar datasets and methodologies.

The impact of industrial transformation on green economic efficiency:New evidence based on energy use

Developing a green economy is key to achieving the 2030 Sustainable Development Goals. This paper uses the SBM-GML index, which includes non-desired outputs, to measure the trend of regional green economic efficiency changes and analyze the impact mechanism and realization path of industrial transformation on green economic efficiency. The research results show that advanced industrial structure has a positive influence on green economic efficiency nationwide, while energy utilization structure and energy utilization efficiency have positive partial intermediary effects in the influence path;industrial structure rationalization is also significantly positively related to green economic efficiency nationwide, and the mediating effect of energy utilization is positive. The impact of industrial transformation on green economic efficiency has regional heterogeneity, and the mediating effect of energy use also differs. Among them, the impact effect in the eastern region is basically consistent with the national sample, but is negative in the central and western regions. This paper proposes countermeasures in terms of adjusting the industrial structure, improving energy efficiency, and perfecting industrial and energy policies, which can provide theoretical and practical references for promoting the transformation and upgrading of regional industrial structure, optimizing energy utilization, and advancing the efficiency of the national and regional green economy.