Optimal investment based on relative performance and weighted utility

This paper studies the optimal portfolio allocation of a fund manager when he bases decisions on both the absolute level of terminal relative performance and the change value of terminal relative performance comparison to a predefined reference point. We find the optimal investment strategy by maximizing a weighted average utility of a concave utility and an Sshaped utility via a concavification technique and the martingale method. Numerical results are carried out to show the impact of the extent to which the manager pays attention to the change of relative performance related to the reference point on the optimal terminal relative performance.

PHUI-GA: GPU-based efficiency evolutionary algorithm for mining high utility itemsets

Evolutionary algorithms(EAs)have been used in high utility itemset mining(HUIM)to address the problem of discover-ing high utility itemsets(HUIs)in the exponential search space.EAs have good running and mining performance,but they still require huge computational resource and may miss many HUIs.Due to the good combination of EA and graphics processing unit(GPU),we propose a parallel genetic algorithm(GA)based on the platform of GPU for mining HUIM(PHUI-GA).The evolution steps with improvements are performed in central processing unit(CPU)and the CPU intensive steps are sent to GPU to eva-luate with multi-threaded processors.Experiments show that the mining performance of PHUI-GA outperforms the existing EAs.When mining 90%HUIs,the PHUI-GA is up to 188 times better than the existing EAs and up to 36 times better than the CPU parallel approach.

EOS Utility软件在摄影理论可视化教学中的应用

可视化的理论知识更容易被识记、理解,而在摄影理论教学中,运用静态的图形图像,并不能理想地将复杂理论知识及其相互间的关系表征、可视化。运用EOS Utility软件进行摄影理论知识的辅助教学,可将各知识点内涵及其相互间的关系进行动态地表征,实现摄影参数可视化、摄影过程可视化、摄影效果可视化,使摄影知识点及其相互间的关系更容易被识记、理解,提高教学效率。

THE OPTIMAL REINSURANCE-INVESTMENT PROBLEM CONSIDERING THE JOINT INTERESTS OF AN INSURER AND A REINSURER UNDER HARA UTILITY

This paper focuses on an optimal reinsurance and investment problem for an insurance corporation which holds the shares of an insurer and a reinsurer.Assume that the insurer can purchase reinsurance from the reinsurer,and that both the insurer and the reinsurer are allowed to invest in a risk-free asset and a risky asset which are governed by the Heston model and are distinct from one another.We aim to find the optimal reinsuranceinvestment strategy by maximizing the expected Hyperbolic Absolute Risk Aversion(HARA)utility of the insurance corporation’s terminal wealth,which is the weighted sum of the insurer’s and the reinsurer’s terminal wealth.The Hamilton-Jacobi-Bellman(HJB)equation is first established.However,this equation is non-linear and is difficult to solve directly by any ordinary method found in the existing literature,because the structure of this HJB equation is more complex under HARA utility.In the present paper,the Legendre transform is applied to change this HJB equation into a linear dual one such that the explicit expressions of optimal investment-reinsurance strategies for-1≤ρi≤1 are obtained.We also discuss some special cases in a little bit more detail.Finally,numerical analyses are provided.

Entrepreneur Education Level and Its Utility Maximization

The education level of entrepreneurs plays an important role in the decision-making process of loan financing. In this paper, the research method of optimization theory is used to study the problem of the education level and maximizing utility of entrepreneurs, and the optimal analytic solution is obtained. On this basis, the influence of the change of bank loan interest rate, the marginal effect of entrepreneur’s effort, the marginal effect of entrepreneur’s investment, the elastic coefficient of entrepreneur’s effort and the elastic coefficient of entrepreneur’s investment on the optimal solution of entrepreneur’s effort and investment amount is discussed.

High Utility Periodic Frequent Pattern Mining in Multiple Sequences

Periodic patternmining has become a popular research subject in recent years;this approach involves the discoveryof frequently recurring patterns in a transaction sequence. However, previous algorithms for periodic patternmining have ignored the utility (profit, value) of patterns. Additionally, these algorithms only identify periodicpatterns in a single sequence. However, identifying patterns of high utility that are common to a set of sequencesis more valuable. In several fields, identifying high-utility periodic frequent patterns in multiple sequences isimportant. In this study, an efficient algorithm called MHUPFPS was proposed to identify such patterns. To addressexisting problems, three new measures are defined: the utility, high support, and high-utility period sequenceratios. Further, a new upper bound, upSeqRa, and two new pruning properties were proposed. MHUPFPS usesa newly defined HUPFPS-list structure to significantly accelerate the reduction of the search space and improvethe overall performance of the algorithm. Furthermore, the proposed algorithmis evaluated using several datasets.The experimental results indicate that the algorithm is accurate and effective in filtering several non-high-utilityperiodic frequent patterns.

Temporal Preferences-Based Utility Control for Smart Homes

The residential sector contributes a large part of the energy to the global energy balance.To date,housing demand has mostly been uncontrollable and inelastic to grid conditions.Analyzing the performance of a home energy manage-ment system requires the creation of various profiles of real-world residential demand,as residential demand is complex and includes multiple factors such as occupancy,climate,user preferences,and appliance types.Average Peak Ratio(A2P)is one of the most important parameters when managing an efficient and cost-effective energy system.At the household level,the larger relative magni-tudes of certain energy devices make managing this ratio critical,albeit difficult.Various Demand Response(DR)and Demand Side Management(DSM)systems have been proposed to reduce this ratio to 1.The main ways to achieve this are economic incentives,user comfort modeling and control,or preference-based.In this study,we propose a unique opportunistic social time approach called the Time Utility Based Control Feature(TUBCF),which uses the concept of a utility function from economics to model and control consumer devices.We propose a DR model for residential customers to reduce Peak-to-Average Ratio(PAR)and improve customer satisfaction by eliminating Appliance Wait Time(WTA)during peak periods.For PAR reduction and WTA,we propose a system architecture and mathematical formulation.Our proposed model automatically schedules devices based on their temporal preferences and considers six households with different device types and operational characteristics.Simulation results show that using this strategy can reduce A2P by 80%and improve user comfort during peak hours.

Data-Driven Model for Risk Assessment of Cable Fire in Utility Tunnels Using Evidential Reasoning Approach

Cable fire is one of the most important events for operation and maintenance(O&M)safety in underground utility tunnels(UUTs).Since there are limited studies about cable fire risk assessment,a comprehensive assessment model is proposed to evaluate the cable fire risk in different UUT sections and improve O&M efficiency.Considering the uncertainties in the risk assessment,an evidential reasoning(ER)approach is used to combine quantitative sensor data and qualitative expert judgments.Meanwhile,a data transformation technique is contributed to transform continuous data into a five-grade distributed assessment.Then,a case study demonstrates how the model and the ER approach are established.The results show that in Shenzhen,China,the cable fire risk in District 8,B Road is the lowest,while more resources should be paid in District 3,C Road and District 25,C Road,which are selected as comparative roads.Based on the model,a data-driven O&M process is proposed to improve the O&M effectiveness,compared with traditional methods.This study contributes an effective ER-based cable fire evaluation model to improve the O&M efficiency of cable fire in UUTs.

Utility Impact below Bridge or Culvert Soffit on Open Channel Flow

The background to this research was a flooding incident that occurred in Bridgend, Co. Donegal, Ireland in August 2017. While several properties were flooded, a flooding case study of a single dwelling house adjacent to the Bridgend River at Riverdale, Bunamayne, Co. Donegal, Ireland is used herein. For this study the flooded site shall be referred to as the “Hegarty property”. A structure in the form of a stone arched culvert is located directly adjacent to the two-storey detached dwelling house on the Hegarty Property. While the culvert is referred to locally as a bridge, within this research the word culvert will be used in connection with the structure. The culvert has a concrete surrounded utility (watermain) crossing at a gradient below the culvert soffit on the upstream face of the structure. The utility obstructed flow through the culvert and contributed to the flooding event. Given the implication of climate change and the increased probability of more extreme flooding events, it was decided to explore the case study to ascertain the factors that contribute to flooding events when utilities are positioned at culvert or bridge structures. This work was completed to assist undergraduate students, researchers, and local authorities in a relatively unknown area of flood causation.

SPI软件Import Utility模块在仪表数字化交付中的应用

为满足仪表数字化交付要求,基于Smart Plant Instrumentation(SPI)软件Import Utility导入模块的使用,对数字化交付这项内容采用的主要解决方法和主要流程进行了阐述,提出了在前期设计未使用SPI软件的情况下,设计院如何满足业主数字化交付的需求。

Understanding Expected Utility for Decision Making

In this paper,we present a brief version of de Finetti-Ramsey’s subjective probability theory and provide a rigorous yet intuitively plausible explanation of expected utility using elementary mathematics.In a final section,we take up the case of some“Paradoxes in Expected Utility Theory”and try to reconcile them with the help of subjective probabilities.

我国水稻种质资源创新研究与利用进展

农业种质资源主要包括农作物、畜禽、农业微生物和药用植物等种质资源。截止到2023年,我国保存的作物种质资源有超过54万份,其中有8万多份是水稻种质资源,如何对这么庞大的水稻种质资源进行精确评价与利用,这将对今后水稻种质创新与育种具有重要意义。本文梳理了我国水稻种质资源收集、评价与精确鉴定、水稻新品系创制、水稻杂种优势利用、水稻种质创制新技术、新方法以及水稻优异基因资源的挖掘与利用等方面的进展,并归纳形成了水稻种质资源创制与利用的新模式。最后,本文就当前水稻核心种质构建、种质资源鉴定与挖掘以及种质资源共享共赢机制等方面的问题进行了探讨,并就如何加强专用型核心种资的构建、种质资源的精确鉴定、种质资源的创新研究、种质资源的共享机制以及种质资源的合作交流进行了分析与展望,以期为进一步深入开展水稻种质资源鉴定评价与创新利用提供一定的参考和帮助。

煤矸石资源化利用现状与进展

在实现“碳达峰与碳中和”目标的背景下,煤炭作为国家能源安全的基石,其绿色开发对我国经济建设和社会发展起到了至关重要的作用。然而,在煤矿开采及分选加工过程中,煤矸石作为煤炭主要伴生副产物,已成为我国急需处理的大宗固废之首。然而,目前煤矸石的综合利用率仍处于较低水平,尚未形成较为规范可行的研究体系。因此,针对煤矿开采与煤矸石堆积所造成的水、大气与土壤环境污染问题,通过煤矸石在生产能源、有价金属回收、建筑材料生产与其他方向的资源化利用的相关研究进展,结合煤矸石在防止重金属污染、土壤修复、防止水土流失等方面的应用,最后提出了煤矸石资源化利用未来的发展方向,根据整体进行规划与资源整合,不仅有大量用于常规目的的煤矸石资源化利用方向,同时还有用于生产高附加值产品的特殊用途,通过两者相结合,实现煤矸石的综合化和资源化利用,为其“减量化、资源化、循环化”发展提供借鉴。总之,煤矸石资源化利用是我国煤炭产业转型升级的重要方向,也是实现绿色可持续发展的必由之路。只有通过不懈的努力和持续的创新,才能更好地解决煤矸石堆积问题,推动煤矸石资源化利用向更加高效、环保、可持续的方向发展,为我国经济社会可持续发展做出更大的贡献。

中国铁矿石选矿技术发展与展望

铁矿石作为钢铁工业最为重要的原材料,是我国重要的战略性矿产资源之一。我国铁矿资源储量丰富,但97%以上属于贫矿,需要经过选矿富集后才能供给高炉炼铁。多年来,在我国选矿工作者的共同努力下,我国铁矿选矿技术得到长足进步和发展。通过回顾我国铁矿选矿技术的发展历程,综述单一弱磁选、单一浮选、重选—磁选—反浮选、磁化焙烧—磁选等主要选矿技术在我国铁矿选矿厂的应用,总结我国典型多金属共生型铁矿石如伴生稀土/萤石型铁矿石、伴生钛铁矿型铁矿石、伴生多金属硫化物型铁矿石和伴生硼铁矿型铁矿石的选矿现状,介绍影响我国铁矿选矿技术进步的关键设备如圆锥破碎机、高压辊磨机、半自磨机、立环脉动高梯度磁选机、高频振动细筛、搅拌磨机等,指出我国铁矿选矿未来要以“高效节能、低碳减排”为原则,以“优质优用、劣质能用”为战略,开发选冶联合工艺,研发大型高效设备,研制低温环保药剂,提高智能控制水平,加强资源综合利用。

中国铷铯资源、提取技术与开发利用研究

铷、铯具有优异的物理化学性能,不仅在电子器件、催化剂、特种玻璃等传统领域中,在高科技新兴应用领域也有广泛的用途。我国铷、铯资源相对丰富,类型多样,不仅有固体矿,而且还有液体矿。本文介绍了国内铷铯资源、提取技术及特点、资源开发利用现状。国内铷铯资源以固体矿为主,铷、铯的储量分别为116万t(Rb_(2)O)和14万t(C_(s_(2))O)。利用酸法从固体矿提取铷铯已实现工业化,萃取法和离子交换法在液体矿上更具有应用前途。广东天堂山铷矿开发项目在近年来备受关注。指出盐湖及地下卤水中的铷铯资源更具发展潜力,建议加强国内铷铯资源调查、勘查和低品位固体矿、液体矿资源综合提取技术攻关,拓宽铷铯产品新性能和应用领域。

基于多维空间的航路利用率

航路利用率表征了空域中航路的利用情况,通过计算航路利用率可以实现对空域资源进行更合理、高效的利用。为了更加准确地计算给定时间段内固定航路的利用率,通过构建抽象的三维空间,提出了一种基于多维空间的航路利用率计算方法。在考虑时间和空间两个角度之间的相互联系有了突破,从时间、航路、高度层三个维度建立航路时空利用率计算模型计算航路时空利用率,结合航路容量利用率,从时间、空间、容量三个角度出发,建立了航路利用率计算模型。最后通过算例分析计算得到某一空域四条航路的利用率。

Study on Gas Explosion Characteristics in Urban Utility Tunnels

In order to study the effects of three factors,namely,premixed gas concentration,number of pressure relief ports and number of obstacles,on the overpressure characteristics of gas explosion and flame structure of gas chambers in utility tunnels,in this paper,a small and narrow experimental platform for gas explosion was constructed to study the evolution mechanism and law of the kinetic characteristics and flame behavior of gas explosion in utility tunnels,with a view to revealing the special influencing mechanism of the overpressure characteristics and flame behavior of gas explosion in utility tunnels.The results show that in the methane concentration of 9.5%when the explosion overpressure reaches its peak,and at the same time by the utility tunnel long and narrow restricted space,the explosion generated by the precursor shock wave along with the flame compression wave were superimposed on both ends of the pipeline back and forth for many times so that the overpressure waveforms are cyclic oscillatory trend,increasing the explosion hazards;compared with the closed conditions,the relief port on the overpressure characteristics of the significant impact of the maximum decrease of 57.7%,when the frequency of overpressure oscillation is reduced,the gas explosion generated by the overpressure damage is reduced;the presence of obstacles significantly affects the flow field,accelerates the flame propagation and leads to greater overpressure peaks and overpressure oscillations.The conclusions of the study can provide a basis for the safety of natural gas in utility tunnels.

微生物固态发酵麦麸的营养品质及其资源化利用的研究进展

麦麸作为小麦加工的主要副产物,年产量超2000万t,其营养丰富,具有很高的应用潜力。但麦麸中存在植酸等抗营养素以及含量较高的不溶性膳食纤维,影响了麦麸生物活性物质的释放,导致其资源化综合利用受到一定限制。因此麦麸的改性处理成为研究热点,其中微生物发酵由于其高效、低成本、无污染等特点受到较高的关注。微生物固态发酵能够通过改善麦麸膳食纤维结构、降低抗营养因子水平、促进生物活性物质的释放、提高抗氧化能力来提高麦麸的营养品质和应用价值。该文综述了微生物发酵对麦麸生物活性物质释放、营养品质改善以及在全麦食品品质改善和饲料加工中动物生长性能、肠道健康、免疫调节等方面资源化利用的研究进展,以期为提高麦麸的综合利用率及附加值提供参考。

月球资源开发利用的进展与展望

中国探月工程“绕、落、回”三步走圆满收官,后续将建立国际月球科研站,并进一步规划建立月球基地。月球探测任务由探测勘察进入到开发利用新阶段,月面资源的勘查、开发和利用是未来月球探测的重点任务。总结了月球资源开发利用方面的国内外重要进展,涉及月球资源勘探、水冰等挥发分分析、月球矿物冶炼与材料制备、月面建造与月壤3D打印等四个方面。同时,月球资源开发利用面临极端月面环境、独特月壤理化特性、全流程无人自主控制等重大挑战,为解决这些问题,提出了未来月球资源开发利用的重点任务和研究思路,可为后续科学研究和工程任务实施提供参考。

水资源保护利用“四水四定”的创新管理模式

系统识别了我国水资源保护利用“四水四定”管理中存在的问题,提出了以精准严格的管控指标、权威统一的监测系统、明确有力的管理体制、科学规范的管理制度以及协同高效的管理机制为五大核心体系,以水资源保护利用“四水四定”智慧水务管控平台为一个平台的水资源保护利用“四水四定”创新管理“5+1”模式;指出未来水资源保护利用“四水四定”管理的发展趋势包括统筹协调现有的水管理系统并实现升级,水量与水权结合面向“四水四定”激活交易市场,规范化建立“四水四定”的执行标准体系以及开展基于微观决策行为的水资源保护利用“四水四定”特定制度设计等方面。