September 2023
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17 Reads
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1 Citation
Personal and Ubiquitous Computing
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September 2023
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17 Reads
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1 Citation
Personal and Ubiquitous Computing
November 2022
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17 Reads
Information Systems and e-Business Management
January 2020
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19 Reads
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7 Citations
International journal of heavy vehicle systems IJHVS
Intelligent energy-saving systems and intelligent transportation systems (ITSs) are indispensable applications in ordinary people's lives. Therefore, it is particularly important to apply the internet of things technology to these two typical scenarios. The key technologies of intelligent energy-saving and intelligent transportation in the environment of internet of things are fully investigated in this paper, and an intelligent energy-saving prototype system has been designed. At the same time, this paper focuses on the two core issues of traffic and studies the two core technologies in intelligent transportation. Firstly, this paper introduces the research background of this topic, and then introduces an overview of the internet of things, intelligent energy-saving system and ITS. Next, this paper introduces the core technology and prototype system design of intelligent energy saving system in the internet of things from four aspects including system structure, hardware design, software design and test results.
January 2020
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4 Reads
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4 Citations
International journal of heavy vehicle systems IJHVS
July 2019
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54 Reads
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3 Citations
Cluster Computing
In social network analysis, the attribute values of actors and their relationship values are only expressed as 0 and 1. In reality, there are both cooperation and competition among actors, and their attribute values and relationship values are more complicated. The intuitionistic fuzzy number is used to construct the attribute values and the relationship values between actors in social network. The concept of position, role and equivalence in intuitionistic fuzzy social network is redefined. The position and role analysis method of intuitionistic fuzzy social network is therefore proposed. Finally, a numerical case is used to demonstrate the efficiency and feasibility of the theory in this paper.
July 2019
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634 Reads
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12 Citations
Cluster Computing
In order to achieve the research from individual data to data system and from passive verification of data to active discovery, taking high dimensional data oriented data mining technology as the research object, an association rule redundancy processing algorithm based on hypergraph in data mining technology is studied according to the project requirements. The concepts of hypergraph and system are introduced to explore the construction of hypergraph on 3D matrix model. In view of the characteristics of big data, a new method of super edge definition is adopted, which improves the ability of dealing with problems. In the association rules redundancy and loop detection based on directed hypergraph, the association rules are transformed into directed hypergraph, and the adjacency matrix is redefined. The detection of redundancy and loop is transformed into the processing of connected blocks and circles in hypergraph, which provides a new idea and method for the redundant processing of association rules. The new method is applied to the data processing of practical projects. The experimental results show that the 3D matrix mathematical model and related data mining algorithms in this paper can find new high-quality knowledge from high-dimensional data.
January 2019
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13 Reads
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4 Citations
In order to study the effects of two strategies of the non-linear supply chain with and without shortage on the dynamic behavior of remanufacturing supply chain system, a non-linear system model with non-return supply constrained by the current level of supply service and recovery capacity constrained by the maximum recovery capacity is established, which is more in line with the actual situation. In order to accurately analyze the dynamic performance of the system so as to effectively suppress the impact of uncertainty and ultimately achieve the stable operation of the system, the research on the operation process of the nonlinear supply chain system is deepened and the fuzzy robust control method is deeply studied. The mitigation of the lead time, the uncertain parameters inside the system, and the external customer demand cause large fluctuations in the system operation process. It is of great practical significance to improve the efficiency of the supply chain, enhance the competitiveness of enterprises, and achieve healthy and stable economic development.
January 2019
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359 Reads
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30 Citations
Information Systems and e-Business Management
In this paper, the synchronous supply chain management information system for mass customization in e-commerce is studied. The principle of chain management and the mechanism of mass customization in e-commerce are discussed. It is pointed out that chain management aims at chain value. Secondly, the paper explains the mechanism of chain management, and points out that chain management improves the value of chain by establishing modular operation units, identifying and managing bottlenecks, identifying and eliminating waste under the action of collaborative planning and control. This paper discusses chain management from the strategic point of view, and draws a conclusion that the mass customization operation management system based on chain management has the characteristics of sustainable competitive advantage. Finally, the process description system of implementing chain management is given, and the dynamic collaborative scheduling optimization of MC e-commerce in supply chain environment is also given. The practical case analysis shows that the method designed in this paper has a good practical effect.
November 2018
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9 Reads
Cognitive Systems Research
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November 2018
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29 Reads
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39 Citations
Chaos Solitons & Fractals
Based on the study of the complexity of supply chain network, this chapter mainly analyzes the complexity of supply chain network structure in the context of disruption risk, and proposes a quantitative measurement method for the complexity of supply chain network based on DSM model. On this basis, this measure method is used to measure the complexity and evolution of ER random networks, small-world networks, and BA scale-free networks. Finally, the internal relationship between the complexity value, network size and connection probability is analyzed, which provides a theoretical basis for the structural design of supply chain network under the disruption risks.
... Location-based services (LBS) and navigation services are types of services that the provider system needs to know the BS location with a certain precision to provide. Despite a great deal of relevant literature in the field of positioning, location information has become an increasingly important feature in most Internet of Things applications [1]. Furthermore, positioning with the availability of massive data and using artificial intelligence methods will be a crucial part of telecommunication networks in the future [2]. ...
January 2020
International journal of heavy vehicle systems IJHVS
... In today's information world, there are a large number of information interactions between people and things, and things and things, which makes the field of information and communication technology gradually present a new model: the Internet of Things model [1][2]. With the development and deepening of the Internet of Things, its ultimate goal is to connect things in all corners of the world through various nodes formed by sensors, so as to realize the connection between people, people and things, and things anytime and anywhere [3][4]. ...
January 2020
International journal of heavy vehicle systems IJHVS
... This scientific paper also contributes to the understanding of dynamic capabilities in supply chains (Alzate and Boada, 2024;Hosseini et al., 2019), particularly in terms of flexibility and adaptability across various models. Specifically, (a) fuzzy control and simulation models, which, according to Jin et al. (2019) and Zhang et al. (2017), can effectively suppress fluctuations and mitigate the impact of uncertainty in nonlinear supply chain systems, thus achieving stable operation. This includes the potential to develop models that address logistical challenges during uncertain and critical delivery times, as highlighted by Irfan et al. (2022). ...
January 2019
... In the era of globalization, the business landscape is becoming increasingly competitive, with companies vying for a dominant position in international markets. In this constantly changing environment, supply chain optimization emerges as a key factor in gaining a competitive edge (Worthmann et al., 2016;Jin et al., 2020;Pujiastuti et al., 2023). Striving to streamline operations and expand their market reach, companies are increasingly turning to specialized external firms, such as third-party logistics (3PL) providers, which play a crucial role in managing logistics and supply chain functions across various industry sectors. ...
January 2019
Information Systems and e-Business Management
... Most of the study to date has been done on the environmental carrying capacity of tourism, the variables that affect how tourism and the environment coordinate, the ethics of tourism and the environment, and the environmental effects of tourism activities (Ali et al., 2021;Butler, 2000;Holden, 2003;Malloy & Fennell, 1998;Yu & Gao, 2023). The topic of eco-tourism has benefitted from the integration of several research methodologies from other disciplines, including correlation and coordination modeling, thanks to the ongoing advancements in research instruments (Dinica, 2009;Tang, 2015), grey prediction models (Geng et al., 2021;Xu et al., 2017), TOPISIS analysis (Gu et al., 2019), panel regression methods (Taylor & Ortiz, 2009;Haseeb & Azam, 2021), integrated efficacy functions (Han, 2018) and others. These methods have been extensively employed in examining the correlation between tourism and the ecological environment, and the quantitative research approach has gained increasing popularity among scholars. ...
January 2018
Discrete and Continuous Dynamical Systems - S
... Globalization has further complicated supply chains as companies are required to respond to diverse customer needs and perform a variety of activities, often leading to processes being dispersed outside of the companies' direct supervision and control (Hassan et al., [17]). This has led to an increased interest in complexity management among industrial companies, highlighting the importance of managing and optimizing supply chain complexity in the competitive landscape (Wang et al., [33]). The complexity of the supply chain is characterized by the dynamic and detailed complexity represented by the products, processes, and relationships within the supply chain. ...
November 2018
Chaos Solitons & Fractals
... Literature [10] designed and developed TripTip recommendation system according to the preference of users to choose scenic spots and recommended similar scenic spots for tourists by analyzing their historical visit locations. Literature [11] used Wikipedia and Twitter to determine the vocabulary related to seasonal tourism, matched the tourist information with the characteristics of scenic spots, and realized the research on scenic spot recommendation of seasonal tourism. Literature [12] recommends scenic spot information according to the seasonal characteristics of scenic spots, scenic spot popularity, and user interest, finds the rules suitable for the personalized recommendation needs of scenic spots, and improves the accuracy of scenic spot recommendation. ...
October 2018
Concurrency and Computation Practice and Experience
... The RR algorithm demonstrated a better response time and load balancing compared with the other algorithms in [23]. An example presented scheduling algorithm in the cloud, which minimizes the average latency of traffic flows and Average Waiting Time (AWT) at the bottom of the LTE screen [24]. The authors proposed an offloading decision-transmission scheduling scheme based on Lyapunov optimization to save average execution time and energy consumption [25]. ...
May 2018
Personal and Ubiquitous Computing
... In recent years, a variety of advanced calculation methods have appeared in the field of financial management and decision-making, which provides a new perspective and tool for the research of financial management performance evaluation in colleges and universities. Jin et al. explored financial management and decision-making based on decision tree algorithm, highlighting the potential of data-driven methods in financial decision-making [3]. This provided theoretical support for the use of fuzzy logic expert system in this study, because fuzzy logic is also an effective method to deal with uncertainty and fuzziness in financial decision making. ...
October 2018
Wireless Personal Communications
... Jin et al. 23 elaborated on Association Rule Mining (ARM) techniques for redundancy processing algorithms. The study converted association rules into hypergraphs to detect redundancy and loops. ...
July 2019
Cluster Computing