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Ecological Economy 2020年第1期16卷 58-67页

作者： ZHOU Jiang-tao WANG Hai-bo School of Economics and management Binzhou UniversityBinzhou 256603CHINA Shandong Provincial Bureau of Statistics Jinan 250001CHINA

This paper puts forward the connotation of enterprise green management and green management performance evaluation,analyzes the characteristics of enterprise green management performance evaluation and decomposes its *** the triple performance method,the paper constructs the performance evaluation index system of enterprise green *** BH Petrochemical Co.,*** the high-efficiency ecological economic zone of the Yellow River delta as an example,by using analytic hierarchy process(AHP)and Matlab programming,this paper determines the weight of each index in the enterprise green management performance evaluation index system,the fuzzy comprehensive evaluation method is used to evaluate the green management performance evaluation of industrial *** results show that the performance evaluation index system of enterprise green management constructed by"triple performance method"has important theoretical significance and application value for evaluating and guiding enterprises to strengthen their green management.

关键词： enterprise green management green management performance evaluation triple performance method

Assessing the Performance of Some Ranked Set Sampling Designs Using Hybrid Approach

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Computers, Materials & Continua 2021年第9期68卷 3737-3753页

作者： Mohamed.A.H.Sabry Ehab M.Almetwally Hisham M.Almongy Gamal M.Ibrahim Faculty of Graduate Studies for Statistical Research Cairo UniversityGiza12613Egypt Faculty of Business Administration Delta University of Science and TechnologyMansoura35511Egypt Department of Statistics Delta University for Science and TechnologyMansouraEgypt High Institute for management Sciences Belqas35511Egypt

In this paper,a joint analysis consisting of goodness-of-fit tests and Markov chain Monte Carlo simulations are used to assess the performance of some ranked set sampling *** Markov chain Monte Carlo simulations are conducted when Bayesian methods with Jeffery’s priors of the unknown parameters of Weibull distribution are used,while the goodness of fit analysis is conducted when the likelihood estimators are used and the corresponding empirical distributions are *** ranked set sampling designs considered in this research are the usual ranked set sampling,extreme ranked set sampling,median ranked set sampling,and neoteric ranked set sampling *** intensive Monte Carlo simulation study is conducted using Lindley’s approximation algorithm to compute the different designs’-based *** study showed that the dependent design“neoteric ranked set sampling design”is superior to other ranked set designs and the total relative efficiency is higher than the other designs’total relative efficiency.

关键词： Goodness of fit ranked set sampling Weibull distribution Bayesian estimation Lindley’s approximation neoteric ranked set sampling design

It?-Taylor Expansion Method of European Spread Option Pricing for Multivariate Diffusions with Jumps

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Acta Mathematicae Applicatae Sinica 2024年

作者： Ge WANG Yu-xuan LU Qing ZHOU Wei-lin XIAO School of Science Beijing University of Posts and Telecommunications Key Laboratory of Mathematics and Information Networks Beijing University of Posts and Telecommunications Ministry of Education Department of Mathematics National University of Singapore School of management Zhejiang University

In this paper, we propose a new method for spread option pricing under the multivariate irreducible diffusions without jumps and with different types of jumps by the expansion of the transition density function. By the quasi-Lamperti transform, which unitizes the diffusion matrix at the initial time, and applying the small-time It?-Taylor expansion method, we derive explicit recursive formulas for the expansion coefficients of transition densities and spread option prices for multivariate diffusions with jumps in return. It is worth mentioning that we also give the closed-form formula of spread option price whose underlying asset price processes contain a Merton jump and a double exponential jump, which is innovative compared with current literature. The theoretical proof of convergence is presented in detail.

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TDS-Eh graph analysis： a new water quality index and rural water supply implications of a river affected by mining in south-eastern Nigeria

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Frontiers of Earth Science 2012年第1期6卷 66-74页

作者： I.C.EZEKWE A.O.AISUBEOGUN G.N.CHIMA E.ODUBO Department of Geography and Environmental management Niger Delta UniversityWilberforce IslandPMB 071Yenegoa Nigeria Department of Geography and Planning Abia State UniversityPMB 2000UturuNigeria

The Ivo River Basin of south-eastern Nigeria is a water scarce and mining region, which suffers from water scarcity. The influence of mining activities on the quality of the Ivo River and its capacity for community water supply was investigated. Also the efficacy of TDS-Eh graph in explaining water quality was presented. Results indicated that the TDS-Eh graph highlights subtle chemical relationships which control water quality and provide a simple but generic pollution index for rapid water quality assessment. It was also discovered that the Ivo River could become an adequate alternative to groundwater as a source of rural water supply in the study area with an estimated average daily discharge of 6726000L and a rural population of less than 200000 persons. The Ivo River meets the WHO drinking water standards in 20 physico- chemical water quality parameters （pH, temperature, conductivity, turbidity, salinity, TDS, Eh, alkalinity, chloride, nitrate, sulfate, phosphate, calcium, magnesium, iron, manganese, zinc, lead and cadmium） analyzed and can therefore （with little treatment） provide up to 133.4% of average community water demand and 83.8% of maximum community water demand. The. impact of mining on Ivo River quality was found to have been moderated by the presence of carbonate rocks which may have enhanced the precipitation of heavy metals from the river.

关键词： TDS-Eh graph water quality mining ruralwater supply Ivo River Nigeria

Groundwater occurrence and flow patterns in the Ishiagu mining area of southeastern Nigeria

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Frontiers of Earth Science 2012年第1期6卷 18-28页

作者： I.C.EZEKWE E.ODUBO G.N.CHIMA I.S.ONWUCHEKWA Department of Geography and Environmental management Niger Delta UniversityWilberforce IslandPMB 071YeneganaNigeria Department of Geography and Planning Abia State UniversityPMB 2000UtumNigeria

The Ishiagu area is a water scarce region and has played host to mining activities for more than four decades. Mining-related activities have become a threat to potable water supply in the area. This paper is an attempt to show the extent of this threat and in particular, investigate the regional groundwater occurrence and flow pattem based on GPS, water well and geological data. This basin- wide model can be used for further groundwater assess- ment, pollution control and contaminant management. Groundwater occurs between 2.4 and 9 m in the Lekwesi- Lokpaukwu area; 1.5-3.7 m in the Ndi-Ugbugbor-Ayaragu axis and 1.2-4.6 m in the Ishiagu area. Recharge areas include the Leru-Amaubiri-Lekwesi sandstone hills and the Ihetutu-Ugwuajirija mine field. While the ultimate sink of contamiants is the Ivo River system, other discharge axis is the Ishiagu-Ayaragu axis and the Ogwor Ndi- Ugbugbor zone. An unconfined and a confined （〉 10） circulation groundwater system was inferred, and flow model reveals that a large part of Ishiag-Ayaragu and Ndi- Ugbugbor part of the study area suffer polluted recharge from the Pb/Zn mining area. Groundwater was also subjected to hierarchical cluster analysis and the existence of 3-4 hydrological regimes, which revealed： Unpolluted recharge areas, areas affected by polluted recharge, a deep water and shallow water circulation and mine effluents.

关键词： groundwater flow mining heavy metals,pollution cluster analysis Ishiagu Nigeria

Multi-scenario Simulation of the Impact of Land Use Change on the Ecosystem Service Value in the Suzhou-Wuxi-Changzhou Metropolitan Area,China

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Chinese Geographical Science 2024年第1期34卷 79-92页

作者： WANG Bin HU Chunguang ZHANG Yushuo Department of Tourism management Soochow UniversitySuzhou215123China Academy of Culture and Tourism Research Soochow UniversitySuzhou215123China School of Architecture and Urban Planning Huazhong University of Science and TechnologyWuhan430074China Hubei Engineering and Technology Research Center of Urbanization Wuhan430074China Faculty of Culture Tourism Shanxi University of Finance and EconomicsTaiyuan030006China

As the most economically developed metropolitan area in China’s Yangtze River delta,the rapid changing land use patterns of Suzhou-Wuxi-Changzhou(Su-Xi-Chang) metropolitan area have profound impacts on the ecosystem service value(ESV).Based on the patterns of land use change and the ESV change in Su-Xi-Chang metropolitan area from 2000 to 2020,we set up four scenarios:natural development scenario,urban development scenario,arable land protection scenario and ecological protection scenario,and simulated the impact of land use changes on the ESV in these *** results showed that:1) the area of built-up land in the Su-XiChang metropolitan area increased significantly from 2000 to 2020,and the area of other types of land *** land underwent the highest transfer-out area,and was primarily converted into built-up *** total ESV of Su-Xi-Chang metropolitan area increased initially then declined from 2000–2020,and the value of almost all individual ecosystem services decreased.2) Population density,GDP per area,night lighting intensity,and road network density can negatively impact the ESV.3) The total ESV loss under the natural development and urban development scenarios was high,and the expansion of the built-up land and the drastic shrinkage of the arable land contributed to the ESV decline under both *** total ESV under arable land protection and ecological protection scenarios increases,and therefore these scenarios are suitable for future land use optimization in *** study could provide a certain reference for land use planning and allocation,and offer guidance for the rational allocation of land resources.

关键词： multiple scenarios land use simulation ecosystem service value(ESV) Patch-Generating Land Use Simulation(PLUS)model Suzhou-Wuxi-Changzhou(Su-Xi-Chang)metropolitan area

Stochastic Joint Replenishment Optimization under Joint Inbound Operational Cost

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Journal of Systems Science and Systems Engineering 2023年第5期32卷 531-552页

作者： Xiaotian Zhuang Zhenyu Gao Yuli Zhang Qian Zhang Shengnan Wu Department of Intelligent Supply Chain JD LogisticsBeijing100076China School of management and Economics Beijing Institute of TechnologyBeijing100081China Yangtze delta Region Academy of Beijing Institute of Technology JiaxingZhejiang314019China

With e-commerce concentrating retailers and customers onto one platform,logistics companies(e.g.,JD Logistics)have launched integrated supply chain solutions for corporate customers(e.g.,online retailers)with warehousing,transportation,last-mile delivery,and other value-added *** platform’s concentration of business flows leads to the consolidation of logistics resources,which allows us to coordinate supply chain operations across different corporate *** paper studies the stochastic joint replenishment problem of coordinating multiple suppliers and multiple products to gain the economies of scale of the replenishment setup cost and the warehouse inbound operational *** this end,we develop stochastic joint replenishment models based on the general-integer policy(SJRM-GIP)for the multi-supplier and multi-product problems and further reformulate the resulted nonlinear optimization models into equivalent mixed integer second-order conic programs(MISOCPs)when the inbound operational cost takes the square-root ***,we propose generalized Benders decomposition(GBD)algorithms to solve the MISOCPs by exploiting the Lagrangian duality,convexity,and submodularity of the *** reduce the computational burden of the SJRM-GIP,we further propose an SJRM based on the power-of-two policy and extend the proposed GBD *** numerical experiments based on practical datasets show that the stochastic joint replenishment across multiple suppliers and multiple products would deliver 13∼20%cost savings compared to the independent replenishment benchmark,and on average the proposed GBD algorithm based on the enhanced gradient cut can achieve more than 90%computational time reduction for large-size problem instances compared to the Gurobi *** power-of-two policy is capable of providing high-quality solutions with high computational efficiency.

关键词： Stochastic joint replenishment stochastic demand inbound warehouse cost benders decomposition power-of-two policy

Kumaraswamy Inverted Topp–Leone Distribution with Applications to COVID-19 Data

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Computers, Materials & Continua 2021年第7期68卷 337-358页

作者： Amal S.Hassan Ehab M.Almetwally Gamal M.Ibrahim Faculty of Graduate Studies for Statistical Research Cairo UniversityGiza12613Egypt Faculty of Business Administration Delta University of Science and TechnologyMansoura35511Egypt High Institute for management Sciences Belqas35511Egypt

In this paper, an attempt is made to discover the distributionof COVID-19 spread in different countries such as;Saudi Arabia, Italy,Argentina and Angola by specifying an optimal statistical distribution for analyzing the mortality rate of COVID-19. A new generalization of the recentlyinverted Topp Leone distribution, called Kumaraswamy inverted Topp–Leonedistribution, is proposed by combining the Kumaraswamy-G family and theinverted Topp–Leone distribution. We initially provide a linear representationof its density function. We give some of its structure properties, such as quantile function, median, moments, incomplete moments, Lorenz and Bonferronicurves, entropies measures and stress-strength reliability. Then, Bayesian andmaximum likelihood estimators for parameters of the Kumaraswamy invertedTopp–Leone distribution under Type-II censored sample are *** estimator is regarded using symmetric and asymmetric loss functions. As analytical solution is too hard, behaviours of estimates have beendone viz Monte Carlo simulation study and some reasonable comparisonshave been presented. The outcomes of the simulation study confirmed theefficiencies of obtained estimates as well as yielded the superiority of Bayesianestimate under adequate priors compared to the maximum likelihood *** to COVID-19 in some countries showed that the new distributionis more appropriate than some other competitive models.

关键词： Kumaraswamy-G family maximum likelihood Bayesian method COVID-19 moments quantile function stress-strength reliability

Achieving Sustainable Use and management of Water Resources for Irrigation in Nigeria

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Journal of Environmental & Earth Sciences 2020年第2期2卷 47-55页

作者： Moses Oghenenyoreme Eyankware Ezekiel Obinna Igwe Christopher Ogwah Ruth Oghenerukevwe Eyankware Ulakpa Department of Geology Ebonyi State UniversityAbakaliki Ebonyi State Nigeria Geo-Moses Consultancy Limited.Warri Delta State Niaeria Department of Environment management and Pollution Control Nigeria Maritime UniversityOkerenkokoDelta StateNigeria

Water resource is available in Nigeria to meet water demand for domestic,agricultural and industrial *** well enhanced and protected from various source of ***,less information is available on suitability of water resources for irrigation use in *** article reviews literature of the past with regards to influence of geogenic and anthropogenic activities on water resource for irrigation purpose in Nigeria and also to explain the current state of suitability of water resource for irrigation studies in Nigeria and gaps in *** also summarizes future ways on water resource management and preventive measure for water resource pollution for irrigation *** articles were downloaded from Google scholar in water-related *** paper tends to review previous article on water resource in Nigeria,and its suitability for *** primary aim of this paper is to produce a synoptic overview of the water resources in Nigeria and its suitability for irrigation *** paper reviewed it was observed that 89%of water resources was considered suitable for irrigation.

关键词： Geogenic Anthropogenic Irrigation indices Suitability and Nigeria

Security Monitoring and management for the Network Services in the Orchestration of SDN-NFV Environment Using Machine Learning Techniques

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Computer Systems Science & Engineering 2024年第2期48卷 363-394页

作者： Nasser Alshammari Shumaila Shahzadi Saad Awadh Alanazi Shahid Naseem Muhammad Anwar Madallah Alruwaili Muhammad Rizwan Abid Omar Alruwaili Ahmed Alsayat Fahad Ahmad Department of Computer Science College of Computer and Information SciencesJouf UniversitySakakaAl Jouf72341Saudi Arabia Department of Computer Sciences Kinnaird College forWomenLahorePunjab54700Pakistan Department of Information Sciences Division of Sciences and TechnologyUniversity of EducationLahore54770Pakistan Department of Computer Engineering and Networks College of Computer and Information SciencesJouf UniversitySakaka72341Saudi Arabia Computer Science Florida Polytechnic UniversityLakelandFlorida33805USA delta3T LahorePunjab54700Pakistan Department of Basic Sciences Common First YearJouf UniversitySakaka72341Saudi Arabia

Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified network lifecycle,and policies *** vulnerabilities try to modify services provided by Network Function Virtualization management and Orchestration(NFV MANO),and malicious attacks in different scenarios disrupt the NFV Orchestrator(NFVO)and Virtualized Infrastructure Manager(VIM)lifecycle management related to network services or individual Virtualized Network Function(VNF).This paper proposes an anomaly detection mechanism that monitors threats in NFV MANO and manages promptly and adaptively to implement and handle security functions in order to enhance the quality of experience for end *** anomaly detector investigates these identified risks and provides secure network *** enables virtual network security functions and identifies anomalies in Kubernetes(a cloud-based platform).For training and testing purpose of the proposed approach,an intrusion-containing dataset is used that hold multiple malicious activities like a Smurf,Neptune,Teardrop,Pod,Land,IPsweep,etc.,categorized as Probing(Prob),Denial of Service(DoS),User to Root(U2R),and Remote to User(R2L)*** anomaly detector is anticipated with the capabilities of a Machine Learning(ML)technique,making use of supervised learning techniques like Logistic Regression(LR),Support Vector Machine(SVM),Random Forest(RF),Naïve Bayes(NB),and Extreme Gradient Boosting(XGBoost).The proposed framework has been evaluated by deploying the identified ML algorithm on a Jupyter notebook in Kubeflow to simulate Kubernetes for validation *** classifier has shown better outcomes(99.90%accuracy)than other classifiers in detecting anomalies/intrusions in the containerized environment.

关键词： Software defined network network function virtualization network function virtualization management and orchestration virtual infrastructure manager virtual network function Kubernetes Kubectl artificial intelligence machine learning