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This paper presents a novel approach towards showing how contractor in agent-based simulation for complex warfare system such as multi-sensor battlefield reconnaissance system can be selected in Contract Net Protocol (CNP) with high efficiency. We first analyze agent and agent-based simulation framework,...

In recent years P2P network lending emerging as a credit model. This mode is selected by the Internet credit lending platform completed both lending financial transactions, signing a contract, information sharing and other related operations. With financial innovation, P2P network lending industry has...

In the investment decision-making process of modern enterprises, it is critical to analyze project profitability and risk. Numerous techniques have been developed to assist businesses in making logical and scientific investment decisions; the most widely used assessment instruments are internal rate...

In order to achieve accurate quantitative results of parameters for reservoir pressure of coal-bed methane, neural network prediction analytic method is adopted to predict the reservoir pressure of coal-bed methane. The main controlling factors such as conformation Stress, buried depth, in-situ stress...

Accurate segmentation of liver and tumor regions in Computed Tomography (CT) scans is crucial for precise diagnosis, treatment planning, and surgical navigation. Manual segmentation is not only time-consuming but also susceptible to inter-observer variability, emphasizing the necessity for robust automated...

Accounts receivable turnover is high in a company is a condition of capital that will be higher and can be said to be liquid. High accounts receivable turnover will cause the company’s capital to increase so that the company can be said to be liquid and vice versa if the receivables turnover is low it...

Under the background of global change, the internal relationship between forests' age and forests' carbon cycling is very important to study the position and function of forests in the global carbon cycle.Thus, the study employed field observations to inversely estimate the parameter of maximum light-use...

A variety of theoretical and practical work exists on Petri-net-based optimization algorithm. However, the efficiency of optimization is still the bottleneck of its application, especial for NP problem (e.g., Flexible Manufacturing System (FMS) scheduling problem). In order to improve the optimization...

The reliance of the iris recognition system on high-quality iris segmentation creates a strong foundation for future iris recognition research and greatly improves the efficiency of iris identification. By using the same datasets for training and testing, we were able to obtain the top network model,...

An experiment of 3 groups was set up to cool the tent in summer. Compared with the ordinary tent, the researchers erected two kinds of screen, which is made of shading-net, on the top of tents. The results show that in the sunny summer of Tianjin, the shading-technology can cool down the tent temperature...

In this paper, we conduct research on the hybrid energy storage based photovoltaic piconets and the isolated net running comprehensive control system in the campus environment. Piconets flexible operation mode and the efficient power supply without perfect stable control. Micro the early stage of network...

In this paper, the authors carry out an introduction to the principles of implementing serial port communication by Android mobile and give a detailed explanation to this implementation process through a case. In other words, through .NET serial port communication realizing serial port communication...

Cardiovascular disease remains a leading cause of death. Traditional risk equations rely on a small number of clinical variables and struggle to simultaneously capture the combined effects of diet, micronutrients, biochemical markers, genetic susceptibility, and wearable behavioral signals, leading to...

For a long time, share price growth has been regarded as the primary benchmark of success in management decision-making for listed enterprises. However, this viewpoint may lead to bias of the management objective, underinvestment in capital budgeting, and inappropriate reward scheme for management. Based...

The computer vision community has become increasingly interested in Low-Light Image Enhancement (LLIE), which tries to transform low-light photos into typically exposed images. The convolutional neural network has advanced quickly, and this has helped the deep learning-based LLIE approaches make a breakthrough...

This project studies unsupervised timbre representation learning using a lightweight convolutional Variational Autoencoder (VAE) trained on log-mel spectrograms of monophonic instrument notes. Timbre is a multidimensional perceptual attribute shaped by harmonic structure, spectral envelope, and transient...

China’s rapid economic growth over the past four decades has been accompanied by a widening wealth gap and systemic inequities in access to education, healthcare, and employment. With a Gini coefficient of 0.466 for income and 0.704 for household net assets, inequality is entrenched through housing disparities,...

This study aims to enhance the performance and equity of Peer-to-Peer (P2P) lending systems by applying machine learning techniques for borrower assessment and interest rate forecasting. The proposed framework operates in two phases. Initially, a Random Forest Classifier is used to assess borrowers’...

Network protocol conformance testing is a functional black box testing. It tests whether that if the implementation of a protocol consistent with consists with the protocol standards according to the protocol text description. A method of network protocol conformance testing with Petri net is presented....

As China's economy continues to develop, people's living standards have improved, the material life demands more and more people prefer to buy clothing of luxury brands, so as to promote China to become a luxury consumer. At the same time the economic development also contributed to the progress of science...

Modern business entities face a significant number of problems, which ultimately lead to crises and unprofitability. In many ways, these states are due to insufficient amount of operational information for making management decisions. The role of this kind of information is difficult to overestimate...

Service-oriented software system is facing a challenge to regulate itself promptly because of the evolving Internet environment and user requirements. In order to effectively control software of SOA dynamic evolution, by the formal tool Workflow-net, software of SOA model which is composed of four basic...

In view of the cost of traditional design of new fonts, a method of combining deep learning for font style conversion is proposed. By using a U-Net type network structure combining the training method of generative adversarial network, supervised learning part of fonts, the font style conversion ability...

Detecting plant diseases quickly is crucial for maintaining good crop yields and sustainable farming. Current approaches often depend on manual inspection or heavy convolutional neural networks that are computationally expensive and too large to run on IoT devices. To address these issues, this proposed...

At present, manage systems for entertainment performance chains are built to work as agents to collaborate all participants, such as troupes, theatres and audience etc. Analyzing and mining the mechanism of behaviors of participants is an important issue which can be important gudie to establish such...

Independent college is a special product of the higher education development in China. Due to its own characteristics of independent college, there are many differences in cooperation with companies from the ordinary universities. In this paper, analyze the conditions of the college-enterprise cooperation,...

This paper analyses Tesla’s position and performance in the new energy vehicle industry. Tesla’s leadership in electric vehicle technology and brand influence has contributed to the popularity and marketability of electric vehicles, driving the automotive industry towards sustainable energy. Global market...

In view of some problems in current college English teaching, such as mostly relying on books and textbooks, single teaching resources, outdated teaching contents and low interest of students, etc. In this paper, the author developed a Web-based sharing platform for college English teaching resources....

In this paper, we propose a framework for building a human-machine language dictionary. Given a concept/word, an application can extract the definition of the concept from the dictionary, and consequently “understand” its meaning. In the dictionary, a concept is defined through its relations with other...

Luxury goods sales are expected to cool down in the Chinese market in 2024. The performance of jewelry is also poor. This is related to the changing consumer attitudes of Chinese consumers. The main consumer group for luxury goods in China is high net worth individuals. The consumption concept of this...

Comprehensive evaluation of artificial neural network is intended to establish closer to human thinking mode of qualitative and quantitative selection model, through the sample of pattern of learning, acquiring knowledge evaluation from experts, experience, subjective judgment and a tendency to target...

A reputation management system is crucial in online transaction systems, in which a reputation function is its central component. We propose a generalized set-theoretic reputation function in this paper, which can be configured to meet various assessment requirements of a wide range of reputation scenarios...

In order to improve the information management level in the process of automobile tire tread production, the actual condition for the tire production process is analyzed in this paper. The information management system of the extruding line in the process of automobile tire tread manufacturing is designed...

The reduction of major shareholders of listed companies has always been the focus of the market, the important shareholders "clearance" reduction of the case is more common. As of today, the GEM in April 2016 to now, there are 479 listed companies, which have a significant reduction in the behavior of...

Compared to time-domain photoacoustic imaging, frequency-domain photoacoustic (FDPA) imaging has much more potential in a clinical setting because of its smaller size and lower cost. Elements. However, because of its poorer signal-to-noise ratio, the FDPA system requires sophisticated image reconstruction...

To provide a amplitude, frequency programmable current signal with high precision for fault detection of 10kv rural power line this paper presented a high precision current signal source using DDS (Direct Digital Frequency Synthesis) technology. The system includes two parts which are signal generator...

Nonfinancial disclosures have become a key element in the development of strategic management policies for all types of companies in all sectors. This study focuses on the importance of nonfinancial disclosures in Russia by reviewing their evolution in the 21st century and examining the percentage of...

Investment decisions are an important part of the pre-investment process. The correct method of decision making for investment projects directly affects the investment benefit of the project. However, various investment decision methods and theoretical analyses have deficiencies. These deficiencies will...

As a new interactive platform, the network virtual community has incomparable advantage over the traditional interactive platform. Use modern information technology, such as the Web3.0 P2P network technology, SQL server database. Based on this theory, apply virtual community in modern digital library...

Existing studies on investment decisions have found that for rational investors no matter how many decision-making methods or economic markets there are, the decisions they make when investing will maximize their interests. To analyze how stakeholders make investing decisions, in this paper, we firstly...

Knee osteoarthritis (OA) is a common degenerative joint condition that affects millions worldwide. Effective therapy requires early diagnosis and precise staging. The study introduces OA-Net, a sophisticated Convolutional Neural Network (CNN) framework intended for multi-stage knee OA severity classification...

Tesla is an American electric car and energy company that makes and sells electric cars, solar panels, and energy storage equipment. We analyze how can Tesla buy and sell the machines in the most profitable way. Based on photovoltaic (PV) and net present value (NPV) rules, the infinite time optimal machine...

A pot experiment was conducted to study the effects of intercropping with Solanum photeinocarpum and Solanum nigrum from two climate-ecology regions (Ya'an campus and Chengdu campus) on photosynthetic characteristics of eggplant under cadmium (Cd) stress. Five treatments were used in the experiment:...

In order to optimize the passenger security process, in the paper, a passenger security service process of an international airport in the United States were analyzed and a detailed Petri network model were given. Then, the Markov chain, which is isomorphic to the model were established according to...

At present, the scale of the Internet celebrity economy continues to expand. At the same time, new fields and new forms are constantly emerging. Internet celebrity places as a link of the industrial chain of netroots economy also make great contributions to economic growth. This article will use Baidu...

An evaluation model that is used to evaluate the electronic service system came to prominence a decade ago with the appearance of Yusof 2007 article on Human, Organization, Technology (HOT) and Net Benefit specifically on health informatic systems. Since that time, the approach has attracted many researchers...

Objective: In order to effectively promote rural fire control facilities and emergency management ability, the firefighting facilities management system uses the ArcGIS and SQL Server, and adopts B/S pattern design. It can organize combination of spatial data and quantitative analysis. This system has...

Compressed sensing theory is widely used in image and video signal processing because of its low coding complexity, resource saving, and strong anti-interference ability. Although the compression sensing theory solves the problems brought by the traditional signal processing methods to a certain extent,...

With the continuous development of globalization, the global circulation of finance has gradually become the main feature of globalization. This paper first makes a preliminary discussion on the meaning, characteristics and performance of financial globalization; then reviews the history of the development...

Taking the wind power generation's pollution-free, easy access and other characteristics into account, Wind power has made great progress in China's renewable energy industry. But because the wind is not controllable, wind power can not guarantee a stable power output, bringing uncertainty in the operation...