The network network

Bac Ninh is a province with a dense network of windows from 1.0 -1.2 km/km2 with large river systems flowing through Duong River, Cau River, Thai Binh River and the downstream part of Ca Lo River. With a dense river system and abundant surface water saving, the province’s irrigation plays a particularly important role in water harvesting, drainage and flood prevention in the province. Over the years, the province has focused resources to invest in the development of irrigation infrastructure.

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With the goal of “Vietnam belongs to the group of 70 leading countries in e-Government (EGDI),”; “Digital economy accounts for 20% of GDP,”; “The fiber optic broadband network infrastructure covers over 80% of households, 100% of communes” and “Universal 4G/5G mobile network services and smartphones” force Vietnamese telecommunications businesses to have adaptive digital economy strategies to seize this opportunity.

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In the context that our country is integrating the world economy, actively promoting participation in the networks of newgeneration free trade agreements (FTAs) has contributed to promoting the strong and sustainable economy, creating many great opportunities for Vietnamese enterprises to participate in the new “playground”, contributing to bringing Vietnamese products closer to the world market. However, besides the positives, joining the new-generation of FTAs also brings many challenges to the Vietnamese economy.

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The distribution network model is one of the sophisticated strategies being used in research to assess the state of household solid waste (HSW) management and calculate the quantity of greenhouse gas emissions from landfills in Nghia Ninh and Bao Ninh communes. Traditional and modern techniques are also being used in this study.

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In the global supply chain, large trucks, tractors, and semi trailers are essential as the final step in this complex network. However, they have many potential dangers because the gaps from the semi-trailers floor to the road surface are high, so small cars easily get underride.

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The demand for using IoT devices is increasing because of its usefulness. IoT devices are present in all areas of life. They make life easier and more comfortable. Moreover, many companies and households are tending to increase in the use of IoT devices to turn on/off home, school, office into smart home, smart school, smart office and so on.

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The study "Optimizing broiler house management to reduce costs and reduce losses with the internet of things technology and wireless sensor network" primary objectives encompass cost reduction, loss mitigation and performance evaluation of feeding and watering devices. This proactive approach significantly reduces potential losses. Furthermore, the research evaluates cost implications. IoT technology’s ability to regulate variables like feed utilization and energy consumption aids cost reduction. The study’s findings offer practical insights for efficient resource allocation.

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In the study "Tsunami evacuation simulation using multi-agent system: A case study of Wajima city, Ishikawa prefecture, Japan" the tsunami evacuation simulation was carried out in the port area of Wajima City, Ishikawa Prefecture, Japan. Twelve evacuation sites were established for approximately 12,000 evacuees. There were three types of agents: male, female and tourist, walking speeds were set for each type. As a result of the simulation, all agents completed the evacuation after 2028 seconds.

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The paper "A novel approach of neural networks and USLE in smart soil erosion modeling, case study in Southern coastal of Viet Nam" adopted one of the neural networks - the Long ShortTerm Memory (LSTM) to analyze temporal variations in erosion patterns over time, aiding in understanding erosion dynamics. Furthermore, another common soil erosion model - the Universal Soil Loss Equation (USLE) was investigated to predict annual soil loss. Our data were extracted from remotely sensed data (DEM - Digital Elevation Model and MODIS) and vector data of the study area.

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Principles of SPC Exchanges presents the following content: Functions of SPC Exchanges; Computer Software for Electronic Exchanges; Stored Program Control - Control Structure; Signalling for Telephone Networks; Basics of Telecommunication Traffic Theory.

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This thesis develops a flexible customer behavior analysis system, including essential head pose estimation or F-formation modules. This system will be evaluated in an actual retail store. Further, after studying the system, realizing the mentioned problems of the head pose problem, we also propose a process to collect the head pose dataset and multi-task deep neural network model, fusing face detection and head pose estimation to yield face position and head pose at the same time.

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Part 1 book "Networking - The complete reference" by author Bobbi Sandberg includes content: What is a network; the OSI reference model, network interface adapters; network interface adapters and connection devices; cabling a network; wireless lans; wide area networks; server technologies; designing a network, ethernet basics; base ethernet and gigabit ethernet; networking protocols.

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Part 2 book "Networking - The complete reference" by author Bobbi Sandberg includes content: TCP/IP, other TCP/IP protocols; the domain name system; internet services, windows chapter 18 active directory; linux; unix; other network operating systems and networking in the cloud, network clients; network security basics; wireless security; overview of network administration; network management and troubleshooting tools; backing up.

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The article presents various approaches to the concept of "digital economy" and trends that put an effect on formation of competitiveness. It is concluded that the digital economy is a "digital" system of economic relations based on the use of information and communication technologies. Digital companies are becoming economic agents of the digital economy. The basic elements of a digital company are infrastructure (Internet access, SOFTWARE, telecommunications), e-business (conducting business through computer networks), e-Commerce (distribution of goods via the Internet).

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The research subject is the process of economic and mathematical modelling of time series characterizing the bitcoin exchange rate volatility, based on the use of artificial neural networks. The purpose of the work is to search and scientifically substantiate the tools and mechanisms for developing prognostic estimates of the crypto currency market development. The paper considers the task of financial time series trend forecasting using the LSTM neural network for supply chain strategies.

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This article seeks to provide research opportunities in supply chain networks. For manufacturing industries, materials supply is an essential input to the production process for a sustainability value creation for firms and stakeholders. However, due to several reasons have caused issues to material short supplies in the production process that caused additional cost leading to a negative impact to firm operating performance.

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As a consensus network, Bitcoin enables new payment systems and money that are entirely digital or can be interpreted as a virtual currency that uses open source user-to-peer network systems. It offers easier way of payment without the need for a bank account, credit card or intermediary. Bitcoin is cash stored in a computer that can be used to replace cash in an online sale transaction.

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The paper discusses the concept and problem of identifying DDoS attacks for information management. The main starting mechanisms and types of DDoS attacks are analyzed. To identify them, signature and behavioral methods of analyzing network traffic are used. Analysis of the advantages and disadvantages of these methods actualized the need for their combined use. To detect and classify DDoS attacks, the need to develop and use a neural network model has been updated. The training and testing of the model were made on the initial data from the NSL-KDD set.

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The paper deals with the task of assessing the financial condition of enterprises. To solve it, we prove the necessity of building a neural network model for supply chain. A set of financial ratios is defined as the input parameters of the model: the current liquidity ratio of the enterprise, the equity ratio, the equity turnover ratio, and the return on equity ratio. The output parameters were the types of the financial condition of enterprises: an unstable state (regression), a normal state (stable) and an absolutely stable state (progression).

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Globalization has diverted the attention of top executive sitting in big buildings towards global supply chains instead of organizational ones. Manufacturing organizations have also developed some systems like Internal Manufacturing Network Integration (IMNI) and network globalization to survive in global supply chains. However, these systems often need sustainability to perform well in global supply chains.

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