syedzayyan/paper_mill_benchmark huggingface dataset:
Parallel-Machine Scheduling with DeJong’s Learning Effect, Delivery Times, Rate-Modifying Activity, and Resource Allocation

We investigate parallel‐machine scheduling with past‐sequence‐dependent (p‐s‐d) delivery times, de jong’s learning effect, rate‐modifying activity, and resource allocation.Each machine has a rate‐modifying activity.We consider two versions of the problem to minimize the sum of the total completion times, the total absolute deviation of job completion times, and the total resource allocation and the sum of the total waiting times, the total absolute deviation of job waiting times, and the total resource allocation, respectively.The problems under our present model can be solved in polynomial time.

Journal: Shock and Vibration (2021)
Publication types: Research Article;
Cognitive Attitudes of International Mainstream Media to China during the Contaminated Water and Human Health Under Big Data

The water pollution affecting human health is a crisis and big test, which tests the mainstream news media’s ability and level of communication to respond to major public opinions and public emergencies.The contaminated water is a crisis and a major test, which tests the ability and level of communication of major news outlets to respond to important common views and emergencies.It aims to understand the perception and attitude of the international mainstream media towards china during the contaminated water.The work sorted out the mainstream media’s reporting of china from the contaminated water to the present and selected the new york times, the times, and the guardian as examples.We could understand the changes in china’s international image during the water pollution through these mainstream media reports on china.The results show that these media reports on water pollution in china mainly focused on negative public opinion, which accounted for more than 70% of the total number of reports.Western developed countries such as the united kingdom and the united states are out of consideration for their national interests.Using mainstream media to create public opinion that is not conducive to china, advocating “neo‐colonialism”, “china threat theory” and other false statements, trying to limit china’s influence, due to the difference in cognitive habits and the influence of british and american media hegemony also affects the country the communication and understanding between the two have brought obstacles.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
An Educational Web-Based Expert System for Novice Highway Technology in Flexible Pavement Maintenance

Nowadays, higher education worldwide is affected by the covid‐19 pandemic.It has affected students’ attendance in the universities and causes universities to close down in more than 190 countries.On the other hand, novice engineers studied only a few lectures related to highway engineering.Their lectures have included very little knowledge about asphalt pavement construction as highway engineering consists of many areas that are not studied in detail during their studying years subject to their traditional education.Due to all mentioned, a new drive to promote online learning paves the way to evaluate our future approach to curriculum development and delivery of educational materials for engineering courses.However, experts can offer solutions to these problems using their past experience.Hence, a system that allows experts to share their experience with other engineers after completing a project is needed.Nevertheless, the web‐based expert system for maintaining flexible pavement problems in tropical regions (estampsys) designed in this study is a novel concept.Prior to developing this system, the need for such a system was determined through literature review and validated through a questionnaire survey.Experts were interviewed, and a questionnaire survey was conducted to construct the knowledge base of the system.Knowledge was presented as rules and coded in software through php programming.Web pages that support the user interface were designed using a framework that consists of css, html, and j‐query.Furthermore, the system was tested by an array of users engaged in highway engineering, namely, experts, teaching experts, novice engineers, and students.The mean values of the overall system evaluation performed by 20 users using a five‐point likert scale were 4, 4.5, 3.75, 4.25, 5, 4, and 3.5.Expert and user satisfaction prove the effectiveness of the proposed system.

Journal: Complexity (2021)
Publication types: Research Article;
Earthquake Disaster Rescue Model Based on Complex Adaptive System Theory

China is located in the intersection area of two seismic zones.Due to this special geographical location, earthquake disasters occur frequently in china.Earthquake emergency rescue work is one of the key construction works of disaster prevention and mitigation in china.This paper mainly studies the earthquake disaster rescue model based on the complex adaptive system theory and establishes the earthquake disaster rescue model by analyzing the complex adaptive system theory and combining the earthquake rescue process.In this paper, through the task allocation mechanism task, the disaster rescue task is divided into simple task and complex task, and the executive task subject is divided into single task subject and multitask subject.On the basis of considering the shortest emergency rescue time goal and the goal of maximizing the deployment utility of rescue team, the reasonable deployment of a rescue team is realized through a complex adaptive system, that is, the deployment utility of the rescue team is maximized.In this paper, the simulation experiment and comparison of the earthquake disaster rescue model based on the complex adaptive system theory are carried out.The experimental results show that the model used in this paper is better than the other two models in terms of algorithm convergence, rescue number, and overall score; in different scenarios, the relative survival probability of the model in this paper is 58.92%, 67.85%, and 77.46%, and the proportion of the wounded rescued is 66.31%, 76.45%, and 83.06%, which were higher than those of the other two models.The earthquake disaster rescue model based on the complex adaptive system theory proposed in this paper provides an effective theoretical basis and method system for postdisaster emergency rescue decision making and enhances and improves the emergency response ability to deal with large‐scale geological disaster events.

Journal: Complexity (2021)
Publication types: Research Article;
Participation in Targeted Poverty Alleviation and Enterprise Innovation Investment: Analysis of the Mediating Effect Test Model Based on Financing Constraints

In china, enterprises participating in targeted poverty alleviation can be provided with a strategic resource to enhance their ultimate value creation ability and directly win reputation and obtain sustainable competitive advantages, thus enhancing their innovation ability.In this study, the influence and mechanism of the participation in targeted poverty alleviation on enterprise innovation investment are empirically examined based on financing constraints with the data of nonfinancial listed companies in shanghai and shenzhen from 2012 to 2019 as the object.The research suggests that enterprises taking the initiative to participate in targeted poverty alleviation can first have increased innovation investment and especially enhanced exploratory innovation ability.Second, enterprises’ participation in targeted poverty alleviation can reduce financing constraints of enterprises’ innovation, improve their resource allocation efficiency, and stimulate their innovation vitality primarily through the influence of resource, reputation, and information.This study enriches the theoretical research on the economic consequences of targeted poverty alleviation and provides a reference for guiding enterprises in practice to fulfill social responsibilities to promote enterprises’ innovation vigor and boost their high-quality development.

Journal: Journal of Function Spaces (2022)
Publication types: Research Article;
The Experimental Validation of a Digital Filter Mathematical Modelling for Nuclear Fuel Vibration Monitoring System

Ing at vehicles will produce shocks and vibrations for various reasons in the process of transportation and handling, any shock and vibration that exceeds the regulations would cause damage to the nuclear fuel being transported.In order to monitor and analyze the shock and vibration data scientifically, a monitoring system based on mems acceleration sensor technology is developed to measure shocks and vibrations.The measured result involves some noise caused by the sensitivity of the sensor and the electrical noise, and a digital filter mathematical modelling is introduced to reduce noise and improve the measured result accuracy.In order to verify the effectiveness of the device designed in this paper, the device and the high-precision seismic acceleration sensor ac73 are, respectively, used for field tests; the results show that the test precision of the designed device can meet the requirements, and also, the designed shock and vibration monitoring system can record and store the three-axis acceleration, temperature, humidity, pressure, time, and other parameters that exceed the set threshold during nuclear fuel transportation in real time and complete the fuel assembly transportation status assessment and promptly remind the transportation personnel to take safety precautions and treatment measures.Therefore, it can be widely used in the monitoring, recording, and postevent data analysis of the transportation process of important products such as nuclear fuel.

Journal: Journal of Function Spaces (2022)
Publication types: Research Article;
Application of Remote Sensing Image Data Scene Generation Method in Smart City

Remote sensing image simulation is a very effective method to verify the feasibility of sensor devices for ground observation.The key to remote sensing image application is that simultaneous interpreting of remote sensing images can make use of the different characteristics of different data, eliminate the redundancy and contradiction between different sensors, and improve the timeliness and reliability of remote sensing information extraction.The hotspots and difficulties in this direction are based on remote sensing image simulation of 3d scenes on the ground.Therefore, constructing the 3d scene model on the ground rapidly and accurately is the focus of current research.Because different scenes have different radiation characteristics, therefore, when using matlab to write a program generated by 3d scenes, 3d scenes must be saved as different text files according to different scene types, and then extension program of the scene is written to solve the defect that the calculation efficiency is not ideal due to the huge amount of data.This paper uses pov ray photon reverse tracking software to simulate the imaging process of remote sensing sensors, coordinate transformation is used to convert a triangle text file to pov ray readable information and input the rgb value of the base color based on the colorimetry principle, and the final 3d scene is visualized.This paper analyzes the thermal radiation characteristics of the scene and proves the rationality of the scene simulation.The experimental results show that introducing the chroma in the visualization of the scene model makes the whole scene have not only fidelity, but also radiation characteristics in shape and color.This is indispensable in existing 3d modeling and visualization studies.Compared with the complex radiation transmission method, using the multiple angle two‐dimensional image generated by pov rays to analyze the radiation characteristics of the scene, the result is intuitive and easy to understand.

Journal: Complexity (2021)
Publication types: Research Article;
E-Commerce Enterprise Supply Chain Cost Control under the Background of Big Data

Since the twentieth century, it has been an era of rapid development of information technology; the scale of data is almost the growth rate of the blowout type; no matter what it is, a large number of enterprises or departments are increasing a large number of cost data.However, the current cost management model still remains in the traditional management method and lacks a smarter big data analysis method.In addition, there is a lot of research on big data applications, and there are few e‐commerce supply chains.Therefore, the research purpose of this study is to use big data technology to explore a series of practical operation methods for supply chain cultural communication enterprises and summarize the operation mode of building scc control by using big data technology.In terms of research methods, this study combined bibliographic review and empirical analysis, explored cost‐based mobile e‐commerce (eu) cost control related to big data information, used smart and digital analysis methods to thoroughly analyze cce business issues from internal and external supply chains, established an e‐commerce business supply chain cost control model based on big data technology and elaborated cost control procedures and measures.Finally, it summarized the research results and drew conclusions to provide a theoretical basis for promoting enterprises products products to reduce supply chain costs.The research in this study has achieved a breakthrough in the cost management and control of ee; it provides empirical guidance and theoretical reference for ee to adopt big data technology for cost command of supply chain (ccsc), could help ee to reduce cost of supply chain management to gain higher profit margins, and promote e‐commerce industry as a whole to the next level eventually.This study concluded that the use of big data technology for cost command can solve a series of problems effectively, such as the lack of systematic analysis of cost, the lack of contractual partners, the serious waste of sales links, and the policy errors of logistics links, and continuously improve the enterprise management level and the decline of comprehensive cost.The application mode of supply chain cce enterprises using big data technology constructed in this study has universal applicability.

Journal: Complexity (2021)
Publication types: Research Article;
Complex Behavior of Droplet Transfer and Spreading in Cold Metal Transfer

In intelligent manufacturing, an intelligent control method of welding process is an important process of intelligent welding manufacturing technology (iwmt).Metal transfer is a key factor to control the welding process.Metal transfer and droplet spreading are of vital importance for welding formation.A new theoretical model of cold metal transfer (cmt) in short-circuit transfer mode is proposed in this paper.In this model, the cmt welding process is regarded as a continuous process of arc heating, mass transfer, short-circuit, and spreading, and the relations between these processes are analyzed.The calculation equations used by the model can analyze the welding formation clearly and simplify the complex welding process into continuous physical behavior.The predicted welding width shows good agreement with the measurement results.The mechanism of increased welding width is also comprehensively analyzed.Results have a certain guiding effect on aluminum alloy welding process control.

Journal: Shock and Vibration (2020)
Publication types: Research Article;
Intelligent Digital Currency and Dynamic Coding Service System Based on Internet of Things Technology

The amazing rise of digital currency is not only favored by investors but also attractive to lawbreakers for its anonymity and decentralization.This paper mainly discusses the intelligent digital currency and dynamic coding service system based on internet of things technology.In this paper, the rdcar algorithm is used to realize the routing discovery process of the wireless network.When the intermediate node receives the rreq message, first of all, to avoid the loop, it checks whether the same rreq message has been introduced.If it has received it, it will discard it.Otherwise, it will cache the message and attach its own neighbor node list to the signal-to-noise ratio of the channel link, update the rreq message, and broadcast it.The payment cipher is managed by the bank.When the user opens an account, the bank registers and sends it to the user.The key is generated by the algorithm chip, and the public key is kept in the bank background server.When the bill is delivered to the bank, the bank inputs all the elements on the bill on the counter terminal and transmits it to the verification machine for verification through the bank network.If the verification is correct, it indicates that the bill is indeed issued by the customer, and all bill elements are correct, and payment can be made.The node operation protocol of public chain and alliance chain maintains the operation of the internet of things system.The nodes of alliance chain generate new blocks according to the interval of 30 s.When the node fails to complete the block generation within 30 s, it will rotate to the next node.The mkfile command is used to generate 16b, 1 kb, 1 mb, and 1 gb files as input.The peak speed of the encoding service system is about 370 mb/s.The results show that the system designed in this study is robust and suitable for complex trading environment.

Journal: Complexity (2020)
Publication types: Research Article;
Collaborative Intelligent Environment Perception and Mission Control of Scientific Researchers in Semantic Knowledge Framework Based on Complex Theory

In the traditional scientific research and production activities, due to the lack of sufficient communication and communication between researchers, the phenomenon of waste of scientific research resources occurs from time to time, which hinders the efficiency of scientific research output.Based on the design principle of the semantic knowledge framework, this paper puts forward the definition of ontology and semantic relationship of the collaborative system of scientific researchers.In this paper, a framework of collaborative semantic knowledge among researchers is established through decentralized semantic information exchange architecture.In this article, the simulation is verified by experiments and compared with other exchange architectures.The results of the experiment confirmed the semantic information exchange architecture based on semantic knowledge proposed in this paper is 10.39% faster than the traditional centralized method in terms of data volume; the construction speed under the data node perspective is 12.84% higher than that of the traditional centralized construction method; the subject query speed is 36.84% higher than that of the traditional centralization method; the predicate query speed is 31.58% higher than that of the traditional centralization method.The experimental results confirm that the semantic information exchange architecture based on the semantic knowledge framework is feasible, and it has excellent performance in terms of construction speed and query speed.Under the background that researchers rely more and more on collaborative technology to interact with other members, this paper has a certain reference value and exploration value and proposes a new idea of group collaboration system under the framework of semantic knowledge.

Journal: Complexity (2020)
Publication types: Research Article;
Construction of Mobile E-Commerce Platform and Analysis of Its Impact on E-Commerce Logistics Customer Satisfaction

With the development of mobile network communication technology, online shopping has further become the mainstream way of mass consumption.To this end, this article attempts to start from the innovation of e‐commerce platform, uses today’s internet of things, collects relevant information, and collects relevant data through smart sensors, to establish a mobile e‐commerce platform and analyze and explore the impact of e‐commerce logistics customer satisfaction of factors revolve around e‐commerce logistics.This article uses smart sensor technology to mine and analyze e‐commerce information data and then design and build a new mobile e‐commerce platform.Taking the two major e‐commerce platforms of jingdong and taobao as examples, through online evaluation surveys, the importance of factors affecting logistics service quality and customer satisfaction under different logistics distribution models was explored and analyzed.Under jd’s selfoperated logistics distribution model, users pay the most attention to the integrity of the delivered goods, the accuracy of the delivery time, and the service attitude of the delivery personnel.The importance is ranked second, first, and third, reaching 48.36%, 50.36%, and 61.64%, respectively.Under the third‐party logistics distribution model of taobao, the main influencing factors are the integrity of the delivered goods, the accuracy of the delivery time, the importance of outer packaging, and the importance of product integrity, reaching 37.52%, 41.1%, and 24.29 %, respectively.

Journal: Complexity (2021)
Publication types: Research Article;
Construction of a Complex System Based on Big Data for the Intelligent Service System of Youth Physical Health

The progress of social economy has created a better environment for the healthy development of young people, but the heavy schoolwork and life pressure have caused many students to ignore the scientific management of physical health.At this stage, people need a scientific physical health service system to help students understand their own health data, propose targeted exercise methods and health knowledge, and actively encourage and guide students to participate in physical exercise.The purpose of this article is to cultivate students’ good self‐exercise awareness and improve their physical fitness and health.To this end, this article has designed a smart health service system for young people.This article introduces the various service functions in the health management service system and explains in detail the entry, induction, and analysis of student physical health data in the system.The essence of the health intelligent service system is to provide students with targeted healthy exercise strategies through data analysis.This paper studies the health intervention plan of the health intelligent service system.From the experimental data, the improved particle swarm algorithm in this paper increases the effectiveness of the system in adolescent health data mining from 80.5% to 92.19%, which undoubtedly optimizes the system.It helps a lot.

Journal: Complexity (2021)
Publication types: Research Article;
A New Method for Optimizing the Cabin Layout of Manned Submersibles

In order to reduce the misoperation of submersible pilots in the complex environment of deep sea and improve human reliability, it is a very important method to optimize the cabin space of manned submersible.In this paper, manned submersible jiaolong is taken as an example to describe the breakthrough of traditional modes for optimizing the cabin layout of manned submersible with an aesthetic perspective of deconstruction and reconstruction thinking; the layout is optimized based on deconstruction and reconstruction from the cultural perspective of interdisciplinary.The experimental results show that the layout of manned submersible cabin is optimized by combining the theory of deconstruction and reconstruction aesthetics and human factors engineering, and the feasibility and effectiveness of this method are verified by multiobjective genetic algorithm.Deconstruction and reconfiguration layout optimization improves the human reliability of divers.It is a new method for the optimization of manned submersible cabin layout and also provides a reference for studies on the layout of similar small space.

Journal: Complexity (2020)
Publication types: Research Article;