In recent decades, international trade has evolved into a complex system of trade barriers to ensure the protection of domestic industry and its workers interests. However as tariffs have fallen and international trad...In recent decades, international trade has evolved into a complex system of trade barriers to ensure the protection of domestic industry and its workers interests. However as tariffs have fallen and international trade tends to be free trade, countries have found another way of protecting domestic industries from foreign competition—non-tariff protection. Among them anti-dumping is the most controversial subject that is involved in the foreign trade. This theme will analyze the reason and effect of growing use anti-dumping measures by countries in recent decades and try to give some possible solutions.展开更多
Although the benefits of China’s trade expansion have been distributed much more broadly than those of some early industrialized nations,China has become the primary target of anti-dumping activities.Being a new and ...Although the benefits of China’s trade expansion have been distributed much more broadly than those of some early industrialized nations,China has become the primary target of anti-dumping activities.Being a new and relatively efficient new rival in the global market may be an important reason for this.On the other hand,China’s development stage and her trade structure also place her in a disadvantageous position when it comes to anti-dumping activities.展开更多
File labeling techniques have a long history in analyzing the anthological trends in computational linguistics.The situation becomes worse in the case of files downloaded into systems from the Internet.Currently,most ...File labeling techniques have a long history in analyzing the anthological trends in computational linguistics.The situation becomes worse in the case of files downloaded into systems from the Internet.Currently,most users either have to change file names manually or leave a meaningless name of the files,which increases the time to search required files and results in redundancy and duplications of user files.Currently,no significant work is done on automated file labeling during the organization of heterogeneous user files.A few attempts have been made in topic modeling.However,one major drawback of current topic modeling approaches is better results.They rely on specific language types and domain similarity of the data.In this research,machine learning approaches have been employed to analyze and extract the information from heterogeneous corpus.A different file labeling technique has also been used to get the meaningful and`cohesive topic of the files.The results show that the proposed methodology can generate relevant and context-sensitive names for heterogeneous data files and provide additional insight into automated file labeling in operating systems.展开更多
In the run up to the expiry of quota restrictions that had long regulated much of global trade in textiles and clothing, many a pundit predicted widespread recourse to anti-dumping actions.
The president of the National Council of Textile Organizations(NCTO )has written a letter to the Mexican Economic Secretary Hugo Diaz strongly endorsing his country’s decision to seek a World Trade Organization(WTO)
In the Big Data era,numerous sources and environments generate massive amounts of data.This enormous amount of data necessitates specialized advanced tools and procedures that effectively evaluate the information and ...In the Big Data era,numerous sources and environments generate massive amounts of data.This enormous amount of data necessitates specialized advanced tools and procedures that effectively evaluate the information and anticipate decisions for future changes.Hadoop is used to process this kind of data.It is known to handle vast volumes of data more efficiently than tiny amounts,which results in inefficiency in the framework.This study proposes a novel solution to the problem by applying the Enhanced Best Fit Merging algorithm(EBFM)that merges files depending on predefined parameters(type and size).Implementing this algorithm will ensure that the maximum amount of the block size and the generated file size will be in the same range.Its primary goal is to dynamically merge files with the stated criteria based on the file type to guarantee the efficacy and efficiency of the established system.This procedure takes place before the files are available for the Hadoop framework.Additionally,the files generated by the system are named with specific keywords to ensure there is no data loss(file overwrite).The proposed approach guarantees the generation of the fewest possible large files,which reduces the input/output memory burden and corresponds to the Hadoop framework’s effectiveness.The findings show that the proposed technique enhances the framework’s performance by approximately 64%while comparing all other potential performance-impairing variables.The proposed approach is implementable in any environment that uses the Hadoop framework,not limited to smart cities,real-time data analysis,etc.展开更多
Under the pressure of the anti- dumping investigations on silk fabrics launched by the Indian government, the China Chamber of Commerce for Import & Export of Textiles (CCCT) announced that it has decided not to h...Under the pressure of the anti- dumping investigations on silk fabrics launched by the Indian government, the China Chamber of Commerce for Import & Export of Textiles (CCCT) announced that it has decided not to hold the Silk Trade Fair (Autumn) this year, in order to avoid the negative effects the case might bring.展开更多
Working with files and the safety of information has always been relevant, especially in financial institutions where the requirements for the safety of information and security are especially important. And in today...Working with files and the safety of information has always been relevant, especially in financial institutions where the requirements for the safety of information and security are especially important. And in today’s conditions, when an earthquake can destroy the floor of a city in an instant, or when a missile hits an office and all servers turn into scrap metal, the issue of data safety becomes especially important. Also, you can’t put the cost of the software and the convenience of working with files in last place. Especially if an office worker needs to find the necessary information on a client, a financial contract or a company’s financial product in a few seconds. Also, during the operation of computer equipment, failures are possible, and some of them can lead to partial or complete loss of information. In this paper, it is proposed to create another level of abstraction for working with the file system, which will be based on a relational database as a storage of objects and access rights to objects. Also considered are possible protocols for transferring data to other programs that work with files, these can be both small sites and the operating system itself. This article will be especially interesting for financial institutions or companies operating in the banking sector. The purpose of this article is an attempt to introduce another level of abstraction for working with files. A level that is completely abstracted from the storage medium.展开更多
The past years saw an increased cases of anti-dumping on China mostly from the developed countries,some from developing countries.But Pakistan,a friendly neighbor to China,recently adds up to that list of ranks for an...The past years saw an increased cases of anti-dumping on China mostly from the developed countries,some from developing countries.But Pakistan,a friendly neighbor to China,recently adds up to that list of ranks for an anti-dumping investigation on China.It is the national interests that count most,after all. It gives out a signal that anti-dumping would be a frequent tool to defend or to attack. Evidences show China is a target for this trade remedy,but is also targeting others.展开更多
Byte-addressable non-volatile memory(NVM),as a new participant in the storage hierarchy,gives extremely high performance in storage,which forces changes to be made on current filesystem designs.Page cache,once a signi...Byte-addressable non-volatile memory(NVM),as a new participant in the storage hierarchy,gives extremely high performance in storage,which forces changes to be made on current filesystem designs.Page cache,once a significant mechanism filling the performance gap between Dynamic Random Access Memory(DRAM)and block devices,is now a liability that heavily hinders the writing performance of NVM filesystems.Therefore state-of-the-art NVM filesystems leverage the direct access(DAX)technology to bypass the page cache entirely.However,the DRAM still provides higher bandwidth than NVM,which prevents skewed read workloads from benefiting from a higher bandwidth of the DRAM and leads to sub-optimal performance for the system.In this paper,we propose RCache,a readintensive workload-aware page cache for NVM filesystems.Different from traditional caching mechanisms where all reads go through DRAM,RCache uses a tiered page cache design,including assigning DRAM and NVM to hot and cold data separately,and reading data from both sides.To avoid copying data to DRAM in a critical path,RCache migrates data from NVM to DRAM in a background thread.Additionally,RCache manages data in DRAM in a lock-free manner for better latency and scalability.Evaluations on Intel Optane Data Center(DC)Persistent Memory Modules show that,compared with NOVA,RCache achieves 3 times higher bandwidth for read-intensive workloads and introduces little performance loss for write operations.展开更多
Based on 1995-2008 data, the author researched China and India’s anti-dumping situations, examining the level ofinternational status and countries and industries involved, and analyzed the symmetry between China and ...Based on 1995-2008 data, the author researched China and India’s anti-dumping situations, examining the level ofinternational status and countries and industries involved, and analyzed the symmetry between China and India’sinitiation and the encounter of anti-dumping cases using the index of accusation symmetry (IA) and the index ofsanction symmetry (IS); based on this, the author surveyed India’s successful anti-dumping experiences and analyzedwhy China is frequently accused of anti-dumping, yet loses most anti-dumping petitions initiated against othercountries.The author then put forward policy suggestions regarding how to reduce the intensity of anti-dumpingaccusations filed against China and intensify the strength of its own anti-dumping actions filed against other dumpingnations.展开更多
为解决危大工程中吊装作业安全管理的问题,基于深度学习构建目标检测算法(You Only Look Once version 5,YOLOv5)网络模型,针对进入吊装作业区域内人员的防护装备进行多目标融合检测,并对吊钩在施工过程中的状态进行检测。在原始的检测...为解决危大工程中吊装作业安全管理的问题,基于深度学习构建目标检测算法(You Only Look Once version 5,YOLOv5)网络模型,针对进入吊装作业区域内人员的防护装备进行多目标融合检测,并对吊钩在施工过程中的状态进行检测。在原始的检测网络模型中引入4种注意力机制,并通过5种训练模型的结果对比分析,进而选择卷积块注意力模块(Convolutional Block Attention Module,CBAM)最优模型。优化后的检测模型对安全帽的平均识别精度达86.5%,对反光衣的平均识别精度达83.0%,对吊钩的状态识别精度达92.0%。将训练好的人员检测模型和吊钩检测模型打包成exe执行文件,应用到施工安全管理人员的中控平台,可帮助管理人员更好地判断吊装作业的工作情况,进而及时进行风险管控。展开更多
文摘In recent decades, international trade has evolved into a complex system of trade barriers to ensure the protection of domestic industry and its workers interests. However as tariffs have fallen and international trade tends to be free trade, countries have found another way of protecting domestic industries from foreign competition—non-tariff protection. Among them anti-dumping is the most controversial subject that is involved in the foreign trade. This theme will analyze the reason and effect of growing use anti-dumping measures by countries in recent decades and try to give some possible solutions.
文摘Although the benefits of China’s trade expansion have been distributed much more broadly than those of some early industrialized nations,China has become the primary target of anti-dumping activities.Being a new and relatively efficient new rival in the global market may be an important reason for this.On the other hand,China’s development stage and her trade structure also place her in a disadvantageous position when it comes to anti-dumping activities.
文摘File labeling techniques have a long history in analyzing the anthological trends in computational linguistics.The situation becomes worse in the case of files downloaded into systems from the Internet.Currently,most users either have to change file names manually or leave a meaningless name of the files,which increases the time to search required files and results in redundancy and duplications of user files.Currently,no significant work is done on automated file labeling during the organization of heterogeneous user files.A few attempts have been made in topic modeling.However,one major drawback of current topic modeling approaches is better results.They rely on specific language types and domain similarity of the data.In this research,machine learning approaches have been employed to analyze and extract the information from heterogeneous corpus.A different file labeling technique has also been used to get the meaningful and`cohesive topic of the files.The results show that the proposed methodology can generate relevant and context-sensitive names for heterogeneous data files and provide additional insight into automated file labeling in operating systems.
文摘In the run up to the expiry of quota restrictions that had long regulated much of global trade in textiles and clothing, many a pundit predicted widespread recourse to anti-dumping actions.
文摘The president of the National Council of Textile Organizations(NCTO )has written a letter to the Mexican Economic Secretary Hugo Diaz strongly endorsing his country’s decision to seek a World Trade Organization(WTO)
基金This research was supported by the Universiti Sains Malaysia(USM)and the ministry of Higher Education Malaysia through Fundamental Research Grant Scheme(FRGS-Grant No:FRGS/1/2020/TK0/USM/02/1).
文摘In the Big Data era,numerous sources and environments generate massive amounts of data.This enormous amount of data necessitates specialized advanced tools and procedures that effectively evaluate the information and anticipate decisions for future changes.Hadoop is used to process this kind of data.It is known to handle vast volumes of data more efficiently than tiny amounts,which results in inefficiency in the framework.This study proposes a novel solution to the problem by applying the Enhanced Best Fit Merging algorithm(EBFM)that merges files depending on predefined parameters(type and size).Implementing this algorithm will ensure that the maximum amount of the block size and the generated file size will be in the same range.Its primary goal is to dynamically merge files with the stated criteria based on the file type to guarantee the efficacy and efficiency of the established system.This procedure takes place before the files are available for the Hadoop framework.Additionally,the files generated by the system are named with specific keywords to ensure there is no data loss(file overwrite).The proposed approach guarantees the generation of the fewest possible large files,which reduces the input/output memory burden and corresponds to the Hadoop framework’s effectiveness.The findings show that the proposed technique enhances the framework’s performance by approximately 64%while comparing all other potential performance-impairing variables.The proposed approach is implementable in any environment that uses the Hadoop framework,not limited to smart cities,real-time data analysis,etc.
文摘Under the pressure of the anti- dumping investigations on silk fabrics launched by the Indian government, the China Chamber of Commerce for Import & Export of Textiles (CCCT) announced that it has decided not to hold the Silk Trade Fair (Autumn) this year, in order to avoid the negative effects the case might bring.
文摘Working with files and the safety of information has always been relevant, especially in financial institutions where the requirements for the safety of information and security are especially important. And in today’s conditions, when an earthquake can destroy the floor of a city in an instant, or when a missile hits an office and all servers turn into scrap metal, the issue of data safety becomes especially important. Also, you can’t put the cost of the software and the convenience of working with files in last place. Especially if an office worker needs to find the necessary information on a client, a financial contract or a company’s financial product in a few seconds. Also, during the operation of computer equipment, failures are possible, and some of them can lead to partial or complete loss of information. In this paper, it is proposed to create another level of abstraction for working with the file system, which will be based on a relational database as a storage of objects and access rights to objects. Also considered are possible protocols for transferring data to other programs that work with files, these can be both small sites and the operating system itself. This article will be especially interesting for financial institutions or companies operating in the banking sector. The purpose of this article is an attempt to introduce another level of abstraction for working with files. A level that is completely abstracted from the storage medium.
文摘The past years saw an increased cases of anti-dumping on China mostly from the developed countries,some from developing countries.But Pakistan,a friendly neighbor to China,recently adds up to that list of ranks for an anti-dumping investigation on China.It is the national interests that count most,after all. It gives out a signal that anti-dumping would be a frequent tool to defend or to attack. Evidences show China is a target for this trade remedy,but is also targeting others.
基金supported by ZTE Industry⁃University⁃Institute Coopera⁃tion Funds under Grant No.HC⁃CN⁃20181128026.
文摘Byte-addressable non-volatile memory(NVM),as a new participant in the storage hierarchy,gives extremely high performance in storage,which forces changes to be made on current filesystem designs.Page cache,once a significant mechanism filling the performance gap between Dynamic Random Access Memory(DRAM)and block devices,is now a liability that heavily hinders the writing performance of NVM filesystems.Therefore state-of-the-art NVM filesystems leverage the direct access(DAX)technology to bypass the page cache entirely.However,the DRAM still provides higher bandwidth than NVM,which prevents skewed read workloads from benefiting from a higher bandwidth of the DRAM and leads to sub-optimal performance for the system.In this paper,we propose RCache,a readintensive workload-aware page cache for NVM filesystems.Different from traditional caching mechanisms where all reads go through DRAM,RCache uses a tiered page cache design,including assigning DRAM and NVM to hot and cold data separately,and reading data from both sides.To avoid copying data to DRAM in a critical path,RCache migrates data from NVM to DRAM in a background thread.Additionally,RCache manages data in DRAM in a lock-free manner for better latency and scalability.Evaluations on Intel Optane Data Center(DC)Persistent Memory Modules show that,compared with NOVA,RCache achieves 3 times higher bandwidth for read-intensive workloads and introduces little performance loss for write operations.
基金funded by the state social science project of Research on the Relationship Between Chinas Financial Development and Trade Structure Optimization (No. 07CGJ00)
文摘Based on 1995-2008 data, the author researched China and India’s anti-dumping situations, examining the level ofinternational status and countries and industries involved, and analyzed the symmetry between China and India’sinitiation and the encounter of anti-dumping cases using the index of accusation symmetry (IA) and the index ofsanction symmetry (IS); based on this, the author surveyed India’s successful anti-dumping experiences and analyzedwhy China is frequently accused of anti-dumping, yet loses most anti-dumping petitions initiated against othercountries.The author then put forward policy suggestions regarding how to reduce the intensity of anti-dumpingaccusations filed against China and intensify the strength of its own anti-dumping actions filed against other dumpingnations.
文摘为解决危大工程中吊装作业安全管理的问题,基于深度学习构建目标检测算法(You Only Look Once version 5,YOLOv5)网络模型,针对进入吊装作业区域内人员的防护装备进行多目标融合检测,并对吊钩在施工过程中的状态进行检测。在原始的检测网络模型中引入4种注意力机制,并通过5种训练模型的结果对比分析,进而选择卷积块注意力模块(Convolutional Block Attention Module,CBAM)最优模型。优化后的检测模型对安全帽的平均识别精度达86.5%,对反光衣的平均识别精度达83.0%,对吊钩的状态识别精度达92.0%。将训练好的人员检测模型和吊钩检测模型打包成exe执行文件,应用到施工安全管理人员的中控平台,可帮助管理人员更好地判断吊装作业的工作情况,进而及时进行风险管控。