In Situ Management of Ions Migration to Control Hysteresis Effect for Planar Heterojunction Perovskite Solar Cells

As one of the most promising photovoltaic materials, the efficiency of inorganic–organic hybrid halide perovskite solar cells (PSCs) has reached 25.5% in 2020. However, the stability and hysteresis remain primary challenges before it can become a commercial photovoltaic technology. Therefore, those issues have drawn significant attention for photovoltaic applications. In this work, a study of the PSCs hysteresis improvement is presented based on a combination of first-principles simulations, scanning electron microscopy images, and time-dependent photocurrent measurements. It indicates the hysteresis led by the ion migration and accumulation is mainly localized at the two interfaces: one is between electron transport layer and active layer, and the other is between active layer and hole transport layer. Considering the massive defects at the grain boundaries (GBs), they lower the potential barriers significantly. The defect density at GBs is therefore reduced via the in situ passivation of PbI₂ crystals. The hysteresis index is decreased from 22.43% down to 1.04%, and results in an improvement in efficiency from 17.12% up to 20.10%. Following the understanding of defect-induced hysteresis, an approach to improve the hysteresis is provided, which can be integrated into the fabrication process and widely applied to enhance the performance of PSCs.     

An Efficient Schema Transformation Technique for Data Migration from Relational to Column-Oriented Databases

Data transformation is the core process in migrating database from relational database to NoSQL database such as column-oriented database. However, there is no standard guideline for data transformation from relational database to NoSQL database. A number of schema transformation techniques have been proposed to improve data transformation process and resulted better query processing time when compared to the relational database query processing time. However, these approaches produced redundant tables in the resulted schema that in turn consume large unnecessary storage size and produce high query processing time due to the generated schema with redundant column families in the transformed column-oriented database. In this paper, an efficient data transformation technique from relational database to column-oriented database is proposed. The proposed schema transformation technique is based on the combination of denormalization approach, data access pattern and multiple-nested schema. In order to validate the proposed work, the proposed technique is implemented by transforming data from MySQL database to HBase database. A benchmark transformation technique is also performed in which the query processing time and the storage size are compared. Based on the experimental results, the proposed transformation technique showed significant improvement in terms query processing time and storage space usage due to the reduced number of column families in the column-oriented database.     

大规模定制整体衣柜结构设计规范化

目的探讨大规模定制整体衣柜单元组合设计的规范及组合方法。方法通过市场调研、观察研究和理论分析的方法,在对整体衣柜定义、整体衣柜设计要素和整体衣柜设计原则探讨的基础上,通过将整体衣柜分解成若干个单元、能随意组合和内部功能的划分、通用五金连接和组装便可实现多样化的结构形式,对大规模定制整体衣柜结构设计规范化进行研究,主要包括整体衣柜的用材构成、基本结构构成设计、最合理化尺寸设计、大规模定制整体衣柜结构设计规范化的实施过程。结论对大规模定制家具的实践和整体衣柜结构设计开发具有一定的参考价值。     

基于等差划分的虚拟机实时迁移技术

研究了虚拟机的实时迁移。对局域网内存迁移的预拷贝算法、后拷贝算法以及由这两种算法构成的混合拷贝算法的特性进行分析,在改进混合拷贝算法的基础上提出了基于等差划分的虚拟机实时迁移技术,该技术把第一轮传输的内存页划分成近似等差数列形式的多段,以减少第二轮传输的内存页。不同工作负载条件下的试验表明,与混合内存拷贝方式相比,基于等差划分的虚拟机实时迁移技术平均减少了25%的同步内存位图时间,29%的后拷贝方式发送的内存页以及2.2%的总迁移时间,在一定程度上提高了混合内存拷贝方式的虚拟机实时迁移性能。     

气相色谱法测定食品包装纸中饱和烃矿物油迁移量

本文运用气相色谱技术建立了食品包装纸中饱和烃矿物油迁移量检测方法.本方法检出限和定量限分别为2.28mg/L和6.84mg/L,采用低、中、高3个浓度水平对样品进行加标回收试验,加标回收率为95.46%~106.38%,相对标准偏差<4.0%.优质原生纸样品食品模拟物未检出矿物油,而回收食品包装纸中均存在不同矿物油迁移量,尤其是含有油墨、石蜡和粘合剂等的回收纸.     

食品接触材料中有害物质迁移的研究进展

目的 综述目前食品接触材料中几种常用材料(纸、塑料、油墨)迁移与检测的研究进展,并指出几种材料未来的发展趋势,促使我国食品行业向着更绿色、更安全的方向发展。方法 概述纸质、塑料、油墨的发展趋势和材料中有害物质的来源;对比几种材料的迁移规律及迁移模型;总结几类常见有害物质的检测方法。结论 绿色环保的生物基材料是食品接触材料未来的发展方向,同时也需重视可持续性生物基食品接触材料的化学安全性。因其产生的化学品对人体健康的影响不甚明朗,因此需多方面研究生物基食品接触材料中化学物质的存在和迁移到食品中的情况,并采取相应措施减少包装材料的使用,降低材料中有毒有害物质对人体和环境的威胁。     

食品级再生聚对苯二甲酸乙二醇酯中非有意添加物的风险

目的 综述食品接触用再生聚对苯二甲酸乙二醇酯(Recycled Polyethylene Terephthalate,rPET)的法规及rPET中典型的非有意添加物(Non-Intentionally Added Substances,NIAS),为我国食品接触用rPET法规和标准的建立提供参考。方法 对国内外食品接触用rPET法规的发展历程进行梳理;对rPET中挥发性有机物、非挥发性有机物、重金属等NIAS的来源、残留及迁移情况进行分析和总结。结果 众多国家已经建立了食品接触用rPET法规和监管体系;rPET中的NIAS来源广泛、毒性各异,典型的NIAS迁移量、残留量均较小。结论 rPET已具备成为食品接触材料的可能,食品接触用rPET制品是全球的发展趋势,国家应早日明确rPET的法律地位和制定相关rPET安全标准。     

A Service Level Agreement Aware Online Algorithm for Virtual Machine Migration

The demand for cloud computing has increased manifold in the recent past. More specifically, on-demand computing has seen a rapid rise as organizations rely mostly on cloud service providers for their day-to-day computing needs. The cloud service provider fulfills different user requirements using virtualization - where a single physical machine can host multiple Virtual Machines. Each virtual machine potentially represents a different user environment such as operating system, programming environment, and applications. However, these cloud services use a large amount of electrical energy and produce greenhouse gases. To reduce the electricity cost and greenhouse gases, energy efficient algorithms must be designed. One specific area where energy efficient algorithms are required is virtual machine consolidation. With virtual machine consolidation, the objective is to utilize the minimum possible number of hosts to accommodate the required virtual machines, keeping in mind the service level agreement requirements. This research work formulates the virtual machine migration as an online problem and develops optimal offline and online algorithms for the single host virtual machine migration problem under a service level agreement constraint for an over-utilized host. The online algorithm is analyzed using a competitive analysis approach. In addition, an experimental analysis of the proposed algorithm on real-world data is conducted to showcase the improved performance of the proposed algorithm against the benchmark algorithms. Our proposed online algorithm consumed 25% less energy and performed 43% fewer migrations than the benchmark algorithms.