An M/M/1 Queueing-Inventory System with Geometric Batch Demands and Lost Sales

This paper studies an M/M/1 queueing-inventory system with batch demands. Customers arrive in the system according to a compound Poisson process, where the size of the batch demands for each arrival is a random variable that follows a geometric distribution. The inventory is replenished according to the standard (s,S) policy. The replenishment time follows an exponential distribution. Two models are considered. In the first model, if the on-hand inventory is less than the size of the batch demands of an arrived customer, the customer takes away all the items in the inventory, and a part of the customer’s batch demands is lost. In the second model, if the on-hand inventory is less than the size of the batch demands of an arrived customer, the customer leaves without taking any item from the inventory, and all of the customer’s batch demands are lost. For these two models, the authors derive the stationary conditions of the system. Then, the authors derive the stationary distributions of the product-form of the joint queue length and the on-hand inventory process. Besides this, the authors obtain some important performance measures and the average cost functions by using these stationary distributions. The results are illustrated by numerical examples.     

Loading-Balance Relay-Selective Strategy Based on Stochastic Dynamic Program

A Relay-Assisted(RA) network with relay selection is considered as a type of effective technology to improve the spectrum and energy efficiency of a cellular network. However, loading balance of the assisted relay node becomes an inevitable bottleneck in RA network development because users do not follow uniform distribution. Furthermore, the time-varying channel condition of wireless communication is also a major challenge for the RA network with relay selection. To solve these problems and improve the practicability of the RA network, a Loading Balance-Relay Selective(LBRS) strategy is proposed for the RA network in this paper. The proposed LBRS strategy formulates the relay selection of the RA network under imperfect channel state information assumption as a Multistage Decision(MD) problem. An optimal algorithm is also investigated to solve the proposed MD problem based on stochastic dynamic program. Numerical results show that the performance of the LBRS strategy is better than that of traditional greedy algorithm and the former is effective as an exhaustive search-based method.     

A Generic TC-Based Method to Find the Weakness in Different Phases of Masking Schemes

Masking is one of the most commonly used Side-Channel Attack(SCA) countermeasures and is built on a security framework, such as the ISW framework, and ensures theoretical security through secret sharing.Unfortunately, the theoretical security cannot guarantee practical security, because several possible weaknesses may exist in the actual implementation. These weaknesses likely come from the masking schemes or are introduced by the implementation methods. Finding the possible weakness of the masking scheme is an interesting and important issue for real applications. In this paper, the possible weaknesses for masking schemes in FieldProgrammable Gate Array(FPGA) design are discussed. It was found that the combinational circuit is the key to the security of masking schemes. The Toggle Count(TC) method and its extension are utilized to evaluate the security of masking schemes in the design phase and the implementation phase separately. Comparing different logic-level simulators for the Xilinx FPGA platform, the behavioral and post-translate simulations are considered as the analysis method in the design phase, while the post-map and the post-route simulations are used to find the weakness during the implementation phase. Moreover, a Standard Delay Format(SDF) based improvement scheme is proposed to significantly increase the effectiveness of the TC model.     

Influence of strategy continuity on cooperation in spatial prisoner’s dilemma games with migrating players

The phenomenon of cooperation is prevalent in both nature and human society. In this paper a simulative model is developed to examine how the strategy continuity influences cooperation in the spatial prisoner’s games in which the players migrate through the success-driven migration mechanism. Numerical simulations illustrate that the strategy continuity promotes cooperation at a low rate of migration, while impeding cooperation when the migration rate is higher. The influence of strategy continuity is also dependent on the game types. Through a more dynamic analysis, the different effects of the strategy continuity at low and high rates of migration are explained by the formation, expansion, and extinction of the self-assembled clusters of “partial- cooperators” within the gaming population.     

Seasonal Variation and Land-Use/Land-Cover Type Impacts on the Correlation of Urban Heat Island Intensity and Difference Vegetation Index with Satellite Data in Xi’an,China

Green coverage has pronounced influences on urban heat island (UHI) effect, while the impacts of seasonal variation and Land-Use/Land-Cover (LULC) types on this effect has not been implemented. This paper investigated the spatio-seasonal characteristics of urban thermal environment and the vegetation-soil mixed area, and then explored the effects of vegetation status on UHI intensity from the perspectives of seasons and regions in Xi’an using four Landsat 8 images. UHI intensity index was implemented to extract UHI intensity based on thermal infrared imagery, and difference vegetation index (DVI) was used to represent vegetation-soil mixed area. Results indicated that DVI has impacts on UHI intensity, and their relations vary with season and region. In the whole Xi’an, if UHI intensity is smaller than -0.1, DVI increases with the increase of UHI intensity; whereas for UHI intensity is greater than -0.1, DVI decreases with increases of the UHI intensity from early spring to autumn. The highest correlation level was discovered in the autumn map (R²=0.713). Results of correlation analysis further displayed that DVI positively correlated with UHI intensity at impervious surface, and that the main urban area possessed the best correlation with R²=0.564 5.     

一种新型冷轧辊用钢的组织演变

本文以一种新型冷轧辊用钢为研究对象,借助金相显微镜和扫描电子显微镜分析了试验钢在正火、球化退火、淬火、回火过程中的组织演变,研究了碳化物的成分变化和溶解析出行为。结果显示,试验钢正火后得到马氏体+部分颗粒状和少量块状碳化物的显微组织;球化退火后的显微组织为铁素体基体上分布有大量颗粒状碳化物+少量块状碳化物,球化退火组织评定为为2~3级;淬火后的组织为马氏体+部分颗粒状和少量块状碳化物;三次回火后的组织为回火马氏体+部分颗粒状和少量块状碳化物。试验钢中的块状碳化物在整个热处理过程中始终存在,1100℃以下奥氏体化时只发生边缘部分的少量溶解。颗粒状碳化物主要为M23C6型,在热处理过程中存在明显的溶解和析出行为,1100℃以下奥氏体化时部分溶解。     

POM@Fe-MOF衍生物的结构及其电化学性能

采用溶剂热法将Keggin型H_3PW_(12)O_(40)作为次级结构单元引入Fe-MOF结构中,合成出具有花状结构的POM@Fe-MOF材料,以其为模板在不同工艺条件下制备出衍生物WO_2@FePO_4和WO_3@WC@C。借助SEM、XRD等分析了衍生物的表面形貌及物相结构,并将WO_2@FePO_4和WO_3@WC@C分别作为超级电容器的正、负极材料,利用三电极体系在浓度为6mol/L的KOH电解质溶液中对其电化学性能进行表征,在0.5A/g的充电电流密度下分别得到了68.6F/g和70F/g的最高比电容。     

Nb微合金化对低合金高强钢耐海水腐蚀性能的影响

利用室内模拟海水加速腐蚀试验及电化学分析,研究了Nb微合金化对Cu-Cr-Ni-P系低合金高强钢耐海水腐蚀性能的影响。结果表明,含Nb钢与不含Nb钢组织均由铁素体和珠光体构成,但Nb微合金化后钢中珠光体组织减少且晶粒细化明显,其在模拟海水介质中的平均腐蚀速率与不含Nb钢相比,降低了约12%,阳极腐蚀电流密度也有所降低。由此可见,在Cu-Cr-Ni-P系低合金高强钢中加入Nb元素有助于提高其耐海水腐蚀性能。     

δ掺杂对磁纳米结构中电子输运性质的影响

建立铁磁条调制下含有δ掺杂的磁纳米结构模型,计算不同δ掺杂位置及高度时电子的透射几率及自旋极化率,重点研究了该纳米结构中电子的自旋输运性质。结果表明,该磁纳米结构中可实现较显著的自旋极化效应,且δ掺杂的位置及高度均会对其中的电子输运性质产生影响。因此,理论上可以通过控制δ掺杂的位置及高度来获得实际需要的自旋极化强度,有助于新型自旋电子学器件的开发。     

电流强度对电渣重熔304不锈钢中夹杂物特征的影响

利用实验室规模电渣炉在大气气氛下重熔304不锈钢,考察了不同电流强度(1500、1800、2100A)下电渣锭中夹杂物的特征及全氧含量、硫含量变化,并对钢中硫化物的析出行为进行了热力学分析。结果表明,电渣重熔过程可以有效去除钢中的夹杂物,但随着电流强度的增大,电渣锭的全氧含量和硫含量增加,夹杂物数密度及尺寸增大,电渣锭的洁净度恶化。当电流强度较低(1500A)时,电渣锭中夹杂物主要是以氧化铝为核心、外表裹有硫化物的双层结构,未发现单个的(Mn,Cr)S夹杂;而1800A和2100A重熔时,电渣锭中不仅有以Al-Si-Ca-Ti-Cr-Mn氧化物为核心、外围包裹着(Mn,Cr)S的双层结构夹杂,而且由于电渣锭中硫含量高和凝固过程中残余液相中溶质的富集,其中还有单个(Mn,Cr)S夹杂物存在。本试验条件下,在1500A下重熔更有利于提高304不锈钢电渣锭的洁净度。