摘要：The recent decade has witnessed an upsurge in the demands of intelligent and simplified Internet of Things(IoT)networks that provide ultra-low-power communication for numerous miniaturized *** the research community has paid great attention to wireless protocol designs for these networks,researchers are handicapped by the lack of an energy-efficient software-defined radio(SDR)platform for fast implementation and experimental *** SDRs perform well in battery-equipped systems,but fail to support miniaturized IoT devices with stringent hardware and power *** paper takes the first step toward designing an ultra-low-power SDR that satisfies the ultra-low-power or even battery-free requirements of intelligent and simplified IoT *** achieve this goal,the core technique is the effective integration ofµW-level backscatter in our SDR to sidestep power-hungry active radio frequency *** carefully develop a novel circuit design for efficient energy harvesting and power control,and devise a competent solution for eliminating the harmonic and mirror frequencies caused by backscatter *** evaluate the proposed SDR using different modulation schemes,and it achieves a high data rate of 100 kb/s with power consumption less than 200µW in the active mode and as low as 10µW in the sleep *** also conduct a case study of railway inspection using our platform,achieving 1 kb/s battery-free data delivery to the monitoring unmanned aerial vehicle at a distance of 50 m in a real-world environment,and provide two case studies on smart factories and logistic distribution to explore the application of our platform.

摘要：A storage system is the core of a computer,and plays an important role in the sustainable development of emerging strategic industries,such as artificial intelligence,big data,cloud computing,and the Internet of *** stack access is a major factor restricting the performance of data-intensive systems because of the increasing performance of processors and network devices.

摘要：软件系统是一种典型类型人造复杂系统。理解他们的进化能导致更好的软件工程惯例。在这份报纸，作者把复杂网络理论用作一个工具分析进化面向对象(OO ) 从一个 multigranularity 观点的软件。首先，网络建模的一个多颗粒度软件被建议从颗粒度的三个层次代表一个多版本软件系统的拓扑的结构。然后，广泛地在复杂网络理论使用的一些参数被使用描绘软件网络。由在连续软件系统跟踪参数值，我们关于软件进化有更好的理解。案例研究在一个开放源代码 OO 工程上被进行， Azureus 当说明我们的途径的一个例子，和位于进化特征下面的一些被揭开。这些结果提供一种不同尺寸给我们软件进化并且也的理解为 OO 软件系统的设计和发展是很有用的。

摘要：This paper presents a novel privacy principle, ε-inclusion, for re-publishing sensitive dynamic datasets. ε-inclusion releases all the quasi-identifier values directly and uses permutation-based method and substitution to anonymize the microdata. Combined with generalization-based methods, ε-inclusion protects privacy and captures a large amount of correlation in the microdata. We develop an effective algorithm for computing anonymized tables that obey the ε-inclusion privacy requirement. Extensive experiments confirm that our solution allows significantly more effective data analysis than generalization-based methods.

摘要：数据完整性公开验证对提高云存储系统的适用性、可服务性至关重要。最近,Tan和Jia(2014)提出了一种基于身份的云数据完整性公开验证(NaEPASC)协议,以简化用户密钥管理和减轻完整性验证负担。NaEPASC可以使第三方审计人员(third-party auditor,TPA)能够在云计算环境中高效和安全地验证外包数据的完整性。然而,本文指出NaEPASC在数据签名阶段容易遭受签名伪造攻击,即恶意云服务器可以通过使用两个正确的签名来伪造任意数据块的有效签名。此外,证明了NaEPASC在挑战阶段受到数据隐私威胁,即TPA或冒充TPA的外部攻击者可以分析出外包数据的内容。本文分析表明NaEPASC在数据验证过程中不安全。本文的工作有助于密码学家和工程师设计、实施更安全高效的基于身份的云存储数据完整性公开审计方案。

摘要：Information content security is a branch of cyberspace security. How to effectively manage and use Weibo comment information has become a research focus in the field of information content security. Three main tasks involved are emotion sentence identification and classification,emotion tendency classification,and emotion expression extraction. Combining with the latent Dirichlet allocation(LDA) model,a Gibbs sampling implementation for inference of our algorithm is presented,and can be used to categorize emotion tendency automatically with the computer. In accordance with the lower ratio of recall for emotion expression extraction in Weibo,use dependency parsing,divided into two categories with subject and object,summarized six kinds of dependency models from evaluating objects and emotion words,and proposed that a merge algorithm for evaluating objects can be accurately evaluated by participating in a public bakeoff and in the shared tasks among the best methods in the sub-task of emotion expression extraction,indicating the value of our method as not only innovative but practical.

摘要：最近，建筑群的新特征联网的一些在不同领域里吸引科学家的注意，并且导致许多种新兴的研究方向。到目前为止，大多数研究工作被结构分析在大规模软件系统在复杂网络特征的发现限制了。这篇论文论述理论基础，设计方法，算法和研究的实验结果。它第一为网络拓扑学强调进化生长的设计方法的意义面向对象(OO ) 软件系统，并且主张有各种各样的拓扑学特征的网络模型的选择和调整将在设计的进程和 OO 软件系统的实现上带不可忽略的效果。然后，我们与不同拓扑学特征和软件建模方法的发展分析“在网络模型的进化之间的否定和妥协的否定”的类似的纪律。根据软件模式的生长特征的分析，我们连续建议一个面向对象的软件网络进化生长方法和它的算法。另外，我们也基于复杂网络理论为 OO 软件系统度量标准建议参数系统。基于这些参数系统，它能分析各种各样的节点的特征，连接并且本地世界，调制网络拓扑学并且指导软件度量标准。所有这些能对详细设计，实现和表演分析有用。最后，我们集中于进化算法的应用程序并且由案例研究表明它。在实验软件工程从我们的早实验把结果与方法论作比较，我们相信建议软件工程设计方法基于复杂网络理论是一条计算软件工程途径。我们主张这个方法应该是极大地为在大规模 OO 的功能，结构和性能的设计，实现，调整和度量标准有益软件建筑群系统。

摘要：One of the key problems in collaborative geometric modeling systems is topological entity correspondence when topolog- ical structure of geometry models on collaborative sites changes, ha this article, we propose a solution for tracking topological entity alterations in 3D collaborative modeling environment. We firstly make a thorough analysis and detailed categorization on the altera- tion properties and causations for each type of topological entity, namely topological face and topological edge. Based on collabora- tive topological entity naming mechanism, a data structure called TEST （Topological Entity Structure Tree） is introduced to track the changing history and current state of each topological entity, to embody the relationship among topological entities. Rules and algo- rithms are presented for identification of topological entities referenced by operations for correct execution and model consistency. The algorithm has been verified within the prototype we have implemented with ACIS.

摘要：In recent years, graphical processing unit （GPU）-accelerated intelligent algorithms have been widely utilized for solving combination optimization problems, which are NP-hard, These intelligent algorithms involves a common operation, namely reduction, in which the best suitable candidate solution in the neighborhood is selected. As one of the main procedures, it is necessary to optimize the reduction on the GPU. In this paper, we propose an enhanced warp-based reduction on the GPU. Compared with existing block-based reduction methods, our method exploit efficiently the potential of implementation at warp level, which better matches the characteristics of current GPU architecture. Firstly, in order to improve the global memory access performance, the vectoring accessing is utilized. Secondly, at the level of thread block reduction, an enhanced warp-based reduction on the shared memory are presented to form partial results. Thirdly, for the configuration of the number of thread blocks, the number of thread blocks can be obtained by maximizing the size of thread block and the maximum size of threads per stream multi-processor on GPU. Finally, the proposed method is evaluated on three generations of NVIDIA GPUs with the better performances than previous methods.

摘要：The three-dimensional (3D)bioprinting technology has progressed tremendously over the past *** controlling the size, shape,and architecture of the bioprinted constructs,3D bioprinting allows for the fabrication of tissue/organ-like constructs with strong structural-functional similarity with their in vivo counterparts at high *** bioink,a blend of biomaterials and living cells possessing both high biocompatibility and printability,is a critical component of *** particular, gelatin methacryloyl (GelMA)has shown its potential as a viable bioink material due to its suitable biocompatibility and readily tunable physicochemical *** GelMA-based bioinks and relevant bioprinting strategies for GelMA bioprinting are briefly reviewed.