Green Measurements for Software Product Based on Sustainability Dimensions

Software is a central component in the modern world and vastly affects the environment’s sustainability. The demand for energy and resource requirements is rising when producing hardware and software units. Literature study reveals that many studies focused on green hardware; however, limited efforts were made in the greenness of software products. Green software products are necessary to solve the issues and problems related to the long-term use of software, especially from a sustainability perspective. Without a proper mechanism for measuring the greenness of a particular software product executed in a specific environment, the mentioned benefits will not be attained. Currently, there are not enough works to address this problem, and the green status of software products is uncertain and unsure. This paper aims to identify the green measurements based on sustainable dimensions in a software product. The second objective is to reveal the relationships between the elements and measurements through empirical study. The study is conducted in two phases. The first phase is the theoretical phase, where the main components, measurements and practices that influence the sustainability of a software product are identified. The second phase is the empirical study that involved 103 respondents in Malaysia investigating current practices of green software in the industrial environment and further identifying the main sustainability dimensions and measurements and their impact on achieving green software products. This study has revealed seven green measurements of software product: Productivity, Usability, Cost Reduction, Employee Support, Energy Efficiency, Resource Efficiency and Tool Support. The relationships are statistically significant, with a significance level of less than 0.01 (p = 0.000). Thus, the hypothesised relationships were all accepted. The contributions of this study revolve around the research perspectives of the measurements to attain a green software product.     

计及Spark和属性权重的售电套餐推荐方法

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基于多尺度双线性卷积神经网络的多角度下车型精细识别

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Data mining consists of a set of powerful methods that have been successfully applied to many different application domains, including business, engineering, and bioinformatics. In this paper, we propose an innovative approach that uses genetic algorithms to mine a set of temporal behavior data output by a biological system in order to determine the kinetic parameters of the system. Analyzing the behavior of a biological network is a complicated task. In our approach, the machine learning method is integrated with the framework of system dynamics so that its findings are expressed in a form of system dynamics model. An application of the method to the cell division cycle model has shown that the method can discover approximate parametric values of the system and reproduce the input behavior.     

Pricing Exotic Option Under Jump-Diffusion Models by the Quadrature Method

This paper extends the quadrature method to price exotic options under jump-diffusion models. We compute the transition density of jump-extended models using convolution integrals. Furthermore, a simpler and more efficient lattice grid is introduced to implement the recursion more directly in matrix form. It can be shown that a lot of running time can be saved. At last, we apply the developed approach to the different jump-extended models to demonstrate its universality and provide a detailed comparison for the discrete path-dependent options to demonstrate its advantages in terms of speed and accuracy.

     

基于卡尔曼滤波的电力虚假数据注入攻击检测方法

能源互联网的主体是基于状态估计下的电力系统。虚假数据注入攻击（FDIA）通过恶意篡改或注入电力数据,进而引发错误的状态估计结果。这种攻击方式存在引发大面积停电事故的风险,严重影响能源互联网的正常运行。在matpower 4.0中的IEEE-14节点系统上,利用以残差方程为基础的标准残差检测法和目标函数极值法,对FDIA进行了检测实验。提出了一种基于卡尔曼滤波的FDIA检测方法,并在MATLAB上进行了验证。实验结果表明,该方法可以在短时间内发现FDIA的发生。     

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通过夹杂物评级和显微组织观察，分析了65、70、77B、80硬线盘条拉拔过程中断裂的厦因。实验结果表明：马氏体的出现及基体为索氏体、屈氏体和少量的贝氏体的混合组织是断裂的主要原因；基体组织为混合组织和马氏体的出现是由于存在碳、锰、铬元素的偏析、轧件出精轧机组进水冷和斯太尔摩控制冷却线时冷却速度过快、温度过低等因素造成的。通过调整轧制和连铸工艺，断裂问题基本解决。     

涵闸工程施工期混凝土温度监测系统与水化热参数反演

针对涵闸工程混凝土温控防裂需要,研制了全自动化数字测温系统。该系统的硬件部分由数字式温度传感器、采集单元、GPRS DTU组成,软件部分包括中心服务器软件和客户端软件。系统实现了GPRS公用无线网络覆盖范围内无人值守、多测点远程测量和数据实时共享,具有体积小、无需布线、运行稳定、精度高等特点。经过实际工程多次应用,系统运行稳定可靠,达到预期性能。基于以上系统的测量数据,结合三维非稳定温度场数值计算,对特定工程的水化热参数进行了反演。规范给出普硅42.5水泥水化热参数为m=0.69,n=0.56;而根据实测数据反演的结果为m=1.85,n=0.79。根据两组参数分别进行了三维温度应力计算,得到完全不同的计算结果,前者温度应力未超标,后者多处超标需要采用温控防裂措施才能保证结构防裂安全。因此对实际工程进行温度监测和水化热参数反演是非常必要的。     

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混凝土小型空心砌块专用混合砂浆的配制

针对混凝土小型空心砌块的特点,配制出专用混合砂浆.该砂浆未添加外加剂,便于建筑施工.实验结果表明该混合砂浆和易性能良好.该配合比可以作为基准配合比供其它工程借鉴、使用.