A Novel Eccentric Intrusion Detection Model Based on Recurrent Neural Networks with Leveraging LSTM

The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the Internet.Regrettably,this development has expanded the potential targets that hackers might exploit.Without adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or alteration.The identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious attacks.This research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)units.The proposed model can identify various types of cyberattacks,including conventional and distinctive forms.Recurrent networks,a specific kind of feedforward neural networks,possess an intrinsic memory component.Recurrent Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended periods.Metrics such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual cyberattacks.RNNs are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection Model.This model utilises Recurrent Neural Networks,specifically exploiting LSTM techniques.The proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.

The Influence of Company Performance on Company Value(K-Pop Entertainment Company Registered on KOSPI.KRX South Korea 2018-2022)

A well-managed company is a company that maximizes the value of its company,which is aimed at achieving maximum profits for shareholders.This research aims to determine and analyze the influence of company size,profitability,and financial leverage on the value of companies listed on the South Korean Stock Exchange KOSPI 2018-2022.The population consists of 8 South Korean K-Pop entertainment companies registered on KOSPI 2018-2022.The sampling technique used was purposive sampling with a total sample of 8 companies and a 5-year observation period.So that 40 data were processed.The analysis technique is multiple linear regression.The results obtained show that partially company size has no significant effect on company value,profitability has a significant positive effect on company value,and financial leverage has a significant negative effect on company value.Meanwhile,simultaneously company size,profitability,and financial leverage influence company value.

Debt choice, growth opportunities and corporate investment: evidence from China

The study aims to investigate how relying on short-term debt may help Chinese listed firms to make efficient investment decisions and reduce overinvestment problem for low-growth firms.The study uses a large set of panel data of nonfinancial Chinese listed firms over the period 2007–2017 and,using the robust twostage generalized method of moments,which is robust to unobserved heterogeneity of individual firms and addresses endogeneity issues.Findings show a positive relationship between growth and investment;this association is enhanced by leverage,especially for high-growth firms.This supports the view that short-term debt helps Chinese firms to make optimal use of leverage and therefore make better investment decisions.Furthermore,the results reveal that leverage plays a disciplining and monitoring role to reduce overinvestment incentive for low-growth firms.Overall,the study suggests that shareholders should consider short-term debt to mitigate the debt overhang problem and restrict the opportunistic behavior of managers,which can lead to efficient investment decisions.It also provides foreign investors insights about capital structure in China,and how it can help them make better investment decisions.

The Role of R&D Leverage as a Dynamic Capability in Performance Creation:Evidence from SMEs in Taiwan

This study addresses the role of R&D leverage in SMEs’performance creation.The authors do so by considering SMEs’high resource dependence due to isomorphism.We propose that R&D leverage,with a presence of dynamic capabilities,plays a moderating role in the relation between resource investments and performance.This study,which focused on Taiwan’s SMEs,conducts a questionnaire survey using the hierarchical sampling technique,across various industries and geographic areas in Taiwan.The empirical findings reveal that R&D leverage as an essential leveler in resource management enhances resource advantages.

The Effects of Gross vs.Net Asset Value-Based Managers’Compensation on REIT Capital Structure and Performance:Evidence From the Italian REIT Market

Investors should always argue about management fees because of their impact on net performance that can be substantial.This especially for investments,like real estate,which require intensive management.However,different from traditional mutual funds that are usually related to the gross value of the assets under management,but similar to other financial industry sectors(e.g.hedge funds and private equity funds),REIT managers’compensation structure typically provides a basically fixed payment based alternatively on gross asset value(GAV)or net asset value(NAV).In addition,managers usually also gain a performance fee.The paper analyses how the two alternative compensation schemes influence REITs’investment decisions and capital structure and,consequently,REITs’share value and performance.The final issue addressed is whether—and under which conditions—one compensation scheme is superior to the other.Due to the(usual)market price discount on NAVs,both fee structures incentivise managers to leverage—even in a tax-free environment—in order to maximize the management fees.However,the leverage motivation is stronger for GAV-based than for NAV-based REITs,which are also expected to be more selective in investment decisions.Overall,considering initial fee percentage,GAV-based REITs are expected to execute higher management fees than NAV-based REITs due to the relevant leverage effect.Moreover,debt recourse produces different effects on share value if measured upon market price or net asset value.The empirical analysis focuses on public Italian REITs(2002-2012).The results seem to support the theoretical expectations.GAV-based REITs experience higher debt trends and levels than NAV-based REITs.At the same time,GAV-based REITs register lower real estate asset returns gross and net of management fees for both current and growth yields.Differences in the returns lead to permanent higher performances over total return indexes of NAV-based REITs compared to GAV-based REITs.

Determinant Factors of Capital Structure of Firms-An Empirical Analysis Based on Evidence From Chinese Listed Retail Companies

This paper investigates the effectiveness of various factors upon the capital structure decisions of Chinese firms by conducting an empirical analysis of Chinese-listed retail companies.An unbalanced panel dataset was formed with a sample of 110 companies observed for 12 years(2010~2021).Each observation is measured quarterly.Traditional explanatory variables are adopted in the study,including profitability,company size,tangibility of assets,internal financing ability,tax ratio,growth opportunities,and volatility.By employing the Fama-Macbeth approach,the regression results are interpreted to determine the impact of independent variables upon the leverage a company takes on.To solve the reverse causality problem,we include the lag term(last quarter’s data)of the debt-to-equity ratio as control variables.Consistent with previous theoretical and empirical studies,firms’leverage ratio is positively related to size,tangibility,tax ratio,and last quarter’s debt level.Companies’profitability and internal financing ability are negatively correlated with their debt-to-equity ratio.Firms’earning volatility and growth opportunities do not show significant relationship with the debt-to-equity ratio.The study has provided more empirical evidence on capital structure theories regarding emerging financial markets.

Leveraging Commercial Ties

SOUTH Africa＇s invitation to the BRICS club back in December 2010- arguably President Jacob Zuma＇s greatest foreign policy success - has by association positioned the country as a ＂leading＂ emerging market economy~ While some still question the inclusion based on economic merit, South Africa has become an active member looking to shape the grouping. South Africa is looking to leverage the advantages of this association with particular focus on collaboration opportunities for Africa＇s development.

Leveraging the Strength of NGOs in Deepening Friendship between the Chinese and Cambodian Peoples and between the Chinese and Lao Peoples

In late October,at the invitation of friendly organizations in Cambodia and Laos,a Chinese NGO Delegation visited the two countries.The delegation was made up of 6 members from the Chinese Association for International Understanding,Chinese People’s Association for Peace and Disarmament,China NGO Network for International Exchanges and China Foundation for Peace and Development respectively.Though the visit

Simulation and Experimental Design of Load Adaptive Braking System on Two Wheeler

The braking quality is considered the main execution of the adaptive control framework that impacts the vehicle safety and rides solace astoundingly notably the stopping distance.This research work aims to create a pattern and design of an electromechanically adjusted lever that multiplies the applied braking force depending on the inputs given by the sensors to reduce the stopping distance of the vehicle.It is carried out using two main parts of the two-wheeler vehicle:thefirst part deals with the detection of load acting on the vehicle and identifying the required braking force to be applied,and the second part deals with the micro-controller which activates the stepper motor for varying the mechanical leverage ratio from various loads on the vehicle using two actively movable wedges.The electromechanically operated variable braking force system is developed to actuate the braking system based on the load on the motorcycle.The MATLAB simulation and experimental work are carried out for various loading(driver and pillion)conditions on a two-wheeler.The results indicate that the proposed electronically operated braking system is more effective than the conventional braking system for various loads and vehicle speeds.Specifically,the stopping distance of the vehicle is decreased significantly by about 4.9%between the con-ventional braking system and the simulated proposed system.Further,the experi-mental results show that the stopping distance is condensed by about 4.1%.The validation between simulated and experimental results revealed a great deal with the least error percentage of about 0.8%.

赋能供应链成本管理能力 助力车企降本增效方法研究

站在供应链的高度,以促进供应商降本为抓手,发挥供应链降本优势。本文以供应链降本应用于车企实现成本控制各种方法出发,对汽车成本控制的有效策略进行分析,以期为相关工作提供理论的参考与借鉴。

leverage钛板在颈椎管单开门椎管扩大成形术中的应用

目的探讨leverage钛板固定行单开门椎管扩大成形术对多节段脊髓型颈椎病(cervical spondylotic myelopathy,CSM)患者颈椎曲度及轴性症状的影响。方法自2014-10-2016-10行单开门椎管扩大成形术治疗90例CSM患者,随机均分为观察组与对照组各45例,观察组术中行leverage钛板固定椎板,对照组采用丝线悬吊固定椎板。比较两组患者的相关疗效指标。结果观察组手术耗时显著低于对照组(P<0.05),术中出血、住院时间、引流量差异无统计学意义(P>0.05);两组术后疼痛VAS评分均显著降低,术后6、12、24个月观察组显著低于对照组(P<0.05),两组JOA评分差异无统计学意义(P>0.05);术后观察组颈椎曲度显著高于对照组,轴性症状发生率显著低于对照组(P<0.05)。结论 leverage钛板固定行单开门椎管扩大成形术治疗CSM,操作简便,术后远期疼痛更轻,有利于维持颈椎曲度。

基于Gibbs抽样的随机波动模型族的贝叶斯研究

文章运用Gibbs抽样的MCMC方法对上证综指建立SV-N、SV-MN、LeverageSV三类随机波动模型,并利用DIC准则进行优劣比较分析。实证结果表明,具有杠杆效应的随机波动模型,即LeverageSV模型较其他两类模型能更好地描述上海股市的波动性。

PageRank技术在智能系统中的应用

知识获取是智能系统发展的关键技术。本文分析了PageRank技术特点,采用PageRank技术解决智能系统中知识获取的效率问题,把改进了的PageRank技术应用于智能系统中,并构建一个简易的问答系统来验证PageRank技术的作用。

大规模数据下基于充分降维的Leverage重要性抽样方法

随着信息技术的飞速发展,大规模数据在短时间内搜集并储存下来,为分析决策提供了巨大的信息量,也给统计建模带来了一定难度。对于样本容量大、变量个数少的数据,Leverage重要性抽样是一个简便可行的方法。本文发现,该方法中度量样本重要性的Leverage分数与因变量无关,而且在维度较大的情形下对样本没有区分程度,使得估计结果较差。为了同时考虑因变量和维度的影响,本文提出了基于充分降维的Leverage重要性抽样方法。该方法以不损失信息为前提,在充分降维的空间内重新计算Leverage分数,使得抽样更具有代表性。模拟数据分析显示,在样本容量较大的复杂数据中,相比于原始的Leverage重要性抽样方法,本文提出的方法可以降低估计的均方误差。三个实际数据也证实了该方法的可行性和有效性。

Development of a least squares support vector machine model for prediction of natural gas hydrate formation temperature

Hydrates always are considered as a threat to petroleum industry due to the operational problems it can cause.These problems could result in reducing production performance or even production stoppage for a long time.In this paper, we were intended to develop a LSSVM algorithm for prognosticating hydrate formation temperature(HFT) in a wide range of natural gas mixtures. A total number of 279 experimental data points were extracted from open literature to develop the LSSVM. The input parameters were chosen based on the hydrate structure that each gas species form. The modeling resulted in a robust algorithm with the squared correlation coefficients(R^2) of 0.9918. Aside from the excellent statistical parameters of the model, comparing proposed LSSVM with some of conventional correlations showed its supremacy, particularly in the case of sour gases with high H_2S concentrations, where the model surpasses all correlations and existing thermodynamic models. For detection of the probable doubtful experimental data, and applicability of the model, the Leverage statistical approach was performed on the data sets. This algorithm showed that the proposed LSSVM model is statistically valid for HFT prediction and almost all the data points are in the applicability domain of the model.

Structural Deleveraging: Evidence from China

Using province-level data in China for the period of 1999-2015,we examine the mechanisms through which sectoral differences in leverage ratio and productivity affect macro leverage ratios.The state-owned sector undertakes a large number of public services and plays an irreplaceable role in solving market failures and providing public goods.However,in the case of information asymmetry and incentive incompatibility,these policy burdens affect the leverage optimization and productivity improvement of the state-owned sector.From the perspective of sectoral differences,we therefore decompose the change in macro leverage ratio into leverage ratio structure effect and productivity structure effect,and then substantiate the impact mechanisms of these two effects on macro leverage ratios.Overall,our conclusions provide theoretical support and empirical evidence for structural deleveraging in China.

Factors Affecting Financial Performance of Tourism Destination Firms Listed on Stock Exchanges in China

Purpose:the aim of this research is to test the effect of financial ratio on the financial performance of tourism destination firms listed on stock exchange in China.The research selected ratios:current ratio(CR)as a dimension of liquidity,total asset turnover ratio(TATR)as a dimension of asset utilization,debt ratio(DE)as a dimension of leverage,natural logarithm of total asset(LNTA)as a dimension of firm size,GDP growth rate as a dimension of economic prosperity,and effective tax rate as a dimension of effective tax.This research will use return on asset(ROA),return on sales(ROS),return on equity(ROE)and sales growth(SG)to determine the financial performance.Since stock exchange founded in China,tourism destination firm developed very fast.However tourism destination listed firms have weakness financial performance.Design/methodology/approach:the research data collected from quarterly financial report,from 2012 Q1 to 2018 Q4.The secondary data has been analyzed by multiple regression.Finding:the result indicate that CR,TATR,GDP growth rate have positive impact on financial performance.While DE has negative impact on financial performance.And LNTA has a mix result with financial performance.Originality/value:This study led to the effect of financial ratios on tourism's financial performance since past researches with this aim were difficult to identify and certain references were not specifically linked to the topic.

中央空调系统运行的数据分析与优化策略研究

文章选取热带地区某城市的一套中央空调系统数据,通过对中央空调系统各指标之间的关系进行分析,借助SAS、SPSS和MATLAB软件,采用概率抽样的方法,构建基于加权偏最小二乘法的中央空调系统变量关系模型,计算模型最优解,给出中央空调系统的最优控制策略,实现中央空调系统的智能控制与节能的目的。

A statistical method for assessment of the existing correlations of hydrate forming conditions

Hydrate formation in the oil and gas industries has been a serious problem for a long time. It may cause many difficulties for instance in gas pipelines blockages. In order to determine the hydrate forming condition, gas gravity method has been used. Several correlations have been proposed based on gas gravity method. Checking the accuracy of the applied correlations is important. In this paper, the leverage approach is used for this purpose. Leverage approach is a statistical method for detection outliers which identifies the applicability domain （AD） of hydrate data predicting correlations and the quality of the existing data. Moreover, the Williams plot is sketched, which is a graphical depiction for determination of the doubtful points. The obtained results showed the existing correlations are all statistically correct and valid to predict hydrate formation temperature, just one data point is out of the applicability domains, and none of the experimental data can be chosen as outliers.

Company Characteristic Analysis on Implementation of Green Business in Food and Beverage’s Companies Listed in Indonesian Stock Exchange

Companies can do many business opportunities that drive the growth rate of the country’s economy.But on the other side of the rate of economic growth,visible social gap and environmental damage occurred.Therefore,the company must run its operations by not only focus on the interests of the company(shareholder),but also look at the social and environmental interests(stakeholder)by implementing green business which is the application of corporate social responsibility(CSR).This study aims to determine the effect of profitability,leverage,and growth on corporate social responsibility disclosure(CSRD)or disclosure of the implementation of green business of food and beverage companies listed on the Indonesia Stock Exchange(BEI)2013 to 2015 which is the population of this study.This group of companies is taken as the object of research because in those years the group of companies continues to experience growth and contribute the largest to gross domestic product(GDP)compared to other groups of companies.This research can be input for many other companies how condition on CSRD in food and beverage condition seen from financial factors.The type of research is descriptive quantitative with hypothesis testing and causal method.The result of this research proves that profitability variable with return on assets(ROA)indicator influence significantly and positively to CSRD,while leverage and growth does not significantly influence CSRD.