SMI接口在MSP430x1xx系列单片机系统中的实现

随着网络的迅速发展,以太网技术得到了非常广泛的应用,由此作为关键网络设备的以太网交换机也得到了长足的发展.其中,以太网交换机所使用的以太网控制专用芯片多具有SMI接口,以实现对芯片的控制.考虑到以太网交换机的节能趋势,使用美国德州仪器TI公司的MSP430x1xx系列单片机作为以太网专用芯片的主控器件,使用软硬结合的方法,设计并实现了单片机系统与SMI接口的通信.介绍了SMI接口的特征和时序,并以以太网控制芯片RTL8305SC为例,给出了在MSP430x1xx系列单片机上用I/O实现SMI接口的硬件电路和相关程序.     

壳聚糖衍生物固定床中Cu（Ⅱ）的吸附性能研究

研究了壳聚糖衍生物固定床对Cu（Ⅱ）的吸附性能,考察了改性前后吸附剂对Cu（Ⅱ）的吸附容量,以及改性后壳聚糖吸附剂在不同pH值、Cu（Ⅱ）浓度等条件下吸附过程的穿透曲线.结果表明：改性后的吸附剂吸附性能大大改善,改性前后吸附剂的吸附量分别为1.86×10^-3mol/g和2.07×10^-3mol/g,改性后吸附带长度与改性前相比减少了0.95 cm;pH值增大、Cu（Ⅱ）溶液浓度增大有利于提高吸附柱利用率.     

A heuristic master planning algorithm for supply chains that consider substitutions and commonalities

This study focuses on solving the master planning problem for supply chains by considering substitutions and common components. Such problems address the difficulties involved in synchronizing manufacturing processes and transporting of materials, semi-finished products, and final products along a supply chain and facilitate decision-making related to the effective and efficient use of production and transportation capacities over periods ranging from one month to one year. This study considers product structures with multiple final products, given substitutions and common components. For situations in which the capacity of the supply chain network partners is limited, the model constructed in this study is able to plan all demands and minimize delay costs, substitutions, and the costs of production, transportation, substitution, and inventory holding. Mixed integer programming is a popular way to solve supply chain master planning problems. However, as such problems increase in complexity, the MIP model becomes insolvable due to the time and computer resources it requires. Therefore, this study proposes a heuristic algorithm, called the Dynamic Search BOM Substitution Algorithm (DSBSA), to solve the supply chain master planning problem efficiently and effectively. DSBSA sorts demands according to the necessary final products, due dates, shared capacities, and substitution conditions, to name several possible criteria. Then, DSBSA plans the demands individually, using a minimum cost production tree. If the demand cannot be filled completely using the original BOMs (Bill of Materials), DSBSA substitutes another BOM to fill the demands. This study develops two algorithms to search the substitute BOM: one searches for substitutions in the BOM’s materials levels, this maintaining most of the materials in the original BOM; the other searches for substitutions and uses them to fill bottlenecks, allowing insufficient levels of materials to be detected and supplemented. To show the effectiveness and efficiency of DSBSA, a prototype was constructed and tested to demonstrate the power of DSBSA using complexity and computational analysis.     

Comparing a class of dynamic model-based reinforcement learning schemes for handoff prioritization in mobile communication networks

This paper presents and compares three model-based reinforcement learning schemes for admission policy with handoff prioritization in mobile communication networks. The goal is to reduce the handoff failures while making efficient use of the wireless network resources. A performance measure is formed as a weighted linear function of the blocking probability of new connection requests and the handoff failure probability. Then, the problem is formulated as a semi-Markov decision process with an average cost criterion and a simulation-based learning algorithm is developed to approximate the optimal control policy. The proposed schemes are driven by a dynamic model estimated simultaneously while learning the control policy using samples generated from direct interactions with the network. Extensive simulations are provided to assess and compare their effectiveness of the algorithm under a variety of traffic conditions with some well-known policies.     

面向智能交互的视觉问答研究综述

随着深度学习方法被不断应用于图像处理相关工作,图像相关的智能交互技术也获得了快速发展。面向智能交互的视觉问答技术通过向图像的内容提出相关问题以收集图像信息,最终达到丰富图像理解的目的。通过对近年来视觉问答相关方法进行了综合分析与对比,建设性地将视觉问答方法按照模型结构划分为基本模型、注意力机制模型、模块化模型、基于外部知识库的模型4种类型。同时,还从3个方面针对视觉问答中的视觉和语义信息处理以及未来的视觉推理研究指出了一些方向。     

The influence of the shared-display configuration on group decision making

Large shared displays are increasingly being used to support co-located group decision-making tasks. The expectation is that they can provide a shared visual reference and facilitate interaction between decision makers. This study examined the impact of shared-display configurations on group decision-making processes and outcomes. Three design factors were examined: submission control, display control, and presenting predictions on shared displays. Sixty-four participants performed an optimization task in groups of four members that were supported by different shared-display systems. The results show that submission control has a positive impact on the level of participation, the satisfaction with the group process, and the commitment to the decisions made, but it negatively influences the decision quality; presenting predictive information on the shared display, which is separated from the current information on the personal displays, has a negative impact on the group process and decision quality. In addition, the participants tend to always display all of the information that is available on the screen, in spite of the provision of the display control option.Relevance to industryHow group members can control the content on the shared displays and on their personal displays would influence the group behavior. Gained knowledge from this study is useful for designing and configuring shared-display systems for better group decision-making support.     

Enhancing decision-making flexibility by introducing a new last aggregation evaluating approach based on multi-criteria group decision making and Pythagorean fuzzy sets

Uncertainty is an important factor in any decision-making process. Different tools and approaches have been introduced to handle the uncertain environment of group decision making. One of the latest tools in dealing with uncertainty is Pythagorean fuzzy sets (PFSs). These sets extend the concept of intuitionistic fuzzy sets. To show the advantages of these new sets, this paper offers a novel last aggregation group decision-making process for weighting and evaluating. The methodology employs a new approach in computing the weight of decision makers. Moreover, the concept of entropy is applied to address the fuzziness of weights of evaluation criteria in the process. The method develops a new index in ranking the alternatives. Finally, the proposed method is last aggregation, which means it will be more precise in situations with high variations in decision makers’ judgments. To show the applicability of the method, an example from the literature is adopted and solved for internet companies.     

Detection of idea plagiarism using syntax–Semantic concept extractions with genetic algorithm

Plagiarism is increasingly becoming a major issue in the academic and educational domains. Automated and effective plagiarism detection systems are direly required to curtail this information breach, especially in tackling idea plagiarism. The proposed approach is aimed to detect such plagiarism cases, where the idea of a third party is adopted and presented intelligently so that at the surface level, plagiarism cannot be unmasked. The reported work aims to explore syntax-semantic concept extractions with genetic algorithm in detecting cases of idea plagiarism. The work mainly focuses on idea plagiarism where the source ideas are plagiarized and represented in a summarized form. Plagiarism detection is employed at both the document and passage levels by exploiting the document concepts at various structural levels. Initially, the idea embedded within the given source document is captured using sentence level concept extraction with genetic algorithm. Document level detection is facilitated with word-level concepts where syntactic information is extracted and the non-plagiarized documents are pruned. A combined similarity metric that utilizes the semantic level concept extraction is then employed for passage level detection. The proposed approach is tested on PAN13-14¹plagiarism corpus for summary obfuscation data, which represents a challenging case of idea plagiarism. The performance of the current approach and its variations are evaluated both at the document and passage levels, using information retrieval and PAN plagiarism measures respectively. The results are also compared against six top ranked plagiarism detection systems submitted as a part of PAN13-14 competition. The results obtained are found to exhibit significant improvement over the compared systems and hence reflects the potency of the proposed syntax-semantic based concept extractions in detecting idea plagiarism.     

The influence of juvenile preference for online social interaction on problematic Internet use: The moderating effect of sibling condition and the moderated moderating effect of age cohort

Previous studies have demonstrated that the preference for online social interaction (POSI) is one of the most important factors affecting problematic Internet use (PIU). As self-worth orientation theory suggests, however, only-child could buffer the effect of POSI on PIU, given the fact that children without siblings (the only-child) typically enjoy more resources from parents than do children with siblings. As children grow, particularly after school age, they would become more susceptible to the peers' influence than parents'. Thus, the buffering effect of only-child would decrease along with age due to the lessening effect of parents. To examine the moderating effect of sibling condition (only-child vs. children with siblings) and moderated moderating effect of age cohort (adolescent vs. emerging adult) on the relationship between POSI and PIU, we collected data from 12,051 Chinese students and measured their POSI, PIU, sibling condition, age and other demographics. The results showed that (a) the PIU score of only-child was significantly lower than that of children with siblings; (b) the POSI significantly predicted the PIU; (c) sibling condition moderated the relationship between POSI and PIU, and age cohort further moderated the moderation of sibling condition; (d) age cohort moderated the relationship between POSI and PIU. The implications for the prevention of Internet addictive behaviors among adolescents were discussed.     

A model of check-in system management to reduce the security checkpoint variability

This article presents a model of dynamic management of the check-in desk system at an airport. The elaborated model enables the obtainment of time limits ensuring a uniformly distributed stream of passengers reporting to the security checkpoint on the basis of a schedule of check-in desk operations. The model also allows for the creation of a check-in desk operation schedule for an assumption of the longest acceptable time in queue and the maximum acceptable length of a queue. The model of dynamic management of the check-in desk system at an airport was implemented in Flexsim software. A significant advantage of the developed algorithms is that they consider the stream of passengers report for security control, which is generated by the check-in operating system. The developed model was verified and implemented for management of the check-in system at the Wrocław Airport. For input data obtained in the course of research conducted in 2014 (characteristics of the system and the stream of passengers reports - flight schedule), system efficiency measures were determined: the average queuing time for the check-in, number of work-hours of check-in operators and characteristics of the number of passengers reports for the security control. The developed model can be used in existing check-in systems, and it can also be used to evaluate the operation of a system being designed.