基于改进Informed-RRT^(*)算法的舰载机甲板平面路径规划

针对舰载机甲板路径规划问题,在Informed-RRT^(*)(informed rapidly-exploring random tree)的椭圆采样基础上,提出使用正态分布方式采样的IN-RRT^(*)(informed normal-RRT^(*))算法。首先,针对舰载机与运动场景建模,定义舰载机运动约束和避障策略;其次,将正态分布采样策略与椭圆采样相结合,获取优质高效采样点;引入人工势场法,自适应调节随机树的搜索步长值;使用向心Catmull-Rom样条插值法对路径进行平滑优化处理;提出针对动态障碍改进的动态窗口法,实现局部动态避障。最后,运用甲板平面环境实验检验算法性能。结果表明,IN-RRT^(*)算法能显著优化搜索时间和搜索路径质量,可应对动态场景规划出合理可行的平滑路径。

The Rural Information-based Construction under the Perspective of Expanding Agricultural Industrial Chain

On the basis of expounding connotation and significance of expansion of agricultural industrial chain, coupled with the connotation of rural informatization connotation, this article analyses the role of rural informatization in expanding agricultural industrial chain: it can enhance market competitiveness of industry chain, improve the operational efficiency of industry chain, and promote the income and quality of farmers in industry chain. Under the perspective of expanding agricultural industrial chain, this article puts forwards thinking about the construction of rural informatization as follows: first, give full play to the leading role of the government; second, strengthen the construction of information-based network facility; third, integrate information resources in rural areas, and improve the quality of information; fourth, build comprehensive information service platform in rural areas; fifth, improve organizational level of production and management of individual farmers; sixth, strengthen the construction of information-based personnel in rural areas; seventh, strengthen publicity and training, promote overall cultural quality and information awareness of farmers.

Feature-based and objectoriented product information model for welding structure

Product information model for welding structure plays an important role for the integration of welding CAD/CAPP/CAM. However, existing CAD modeling systems are not capable of providing enough information for subsequent manufacturing activities such as CAPP and CAM. A new design approach using feature technique and object oriented programming method is put forward in this paper in order to create the product information model of welding structure. With this approach, the product information model is able to effectively support computer aided welding process planning, fixturing, assembling, path planning of welding robot and other manufacturing activities. The feature classification and representing scheme of welding structure are discussed. A prototype system is developed based on feature and object oriented programming. Its structure and functions are given in detail.

Semantic Query Mechanism on Peer to Peer XML-Based Information Systems

To enable accessing web information at semantic level, this paper develops a semantic query rewriting mechanism on peer to peer XISs with complex ontology mapping technology. It discusses the patterns of complex ontology mappings at first, and the ontology-based query mechanism in peer to peer environment. The extension of XML query algebra and XML query rewriting mechanism are dissussed in detail.

一种基于STL-Prophet-Informer模型的太阳电池阵多变量趋势预测方法

为了提高太阳电池阵多变量预测的精度,解决阳电池阵遥测参数存在周期波动与增长性互相耦合的问题,提出一种基于STL-Prophet-Informer模型的太阳电池阵多变量预测算法.该算法首先应用局部加权周期趋势分解算法(seasonal and trend decomposition procedure based on loess,STL)对太阳电池阵的多个参数分解为趋势分量、周期分量和残差分量,然后采用对趋势性数据预测效果较好的Prophet预测趋势分量,Informer模型预测周期分量和残差分量,最后将各分量预测结果相加后得到总的太阳电池阵参数预测值.以某卫星太阳电池阵实际遥测数据做算例分析,提出算法的各项误差评价指标和单一的Informer模型、LSTM模型等相比有明显减小,将该组合预测模型用于太阳电池阵多变量参数预测中,可以提高参数预测精度,提升卫星自主运行性能.

Web Based Emergency Information System for Reporting and Tracking of COVID-19 Infected Persons

Quick response to health related issues and reporting has been a huge problem associated with the Nigerian health sector especially when it comes to emergencies. The novel corona virus also known as COVID-19 has put not only the health practitioners into confusion but also to the general public. But in the fight for the solution of this huge pandemic, innovations and technological developments has also assisted in the fight to ensure that this deadly disease is defeated at once. Hence, this paper presents a web based emergency information system for reporting and tracking of COVID-19 infected persons as one of the innovations in fighting this infectious disease. The system is expected to provide a remote access for the general public to report any suspected person with COVID-19, enable questions to be asked, ensure that information on the case of infected and suspected persons with COVID-19 are tracked. This system was achieved following the Agile Model project development life-cycle and the Unified Modeling Language (UML) in respect to that, the front-end design was done with Hypertext Markup Language (HTML5), Cascading Style Sheet (CSS), JavaScript (JS) and Bootstrap Frame work while the back-end development was achieved with Hypertext Preprocessor (PHP5), and My-Structural Query Language (MYSQL). The result after design was a responsive and web based friendly platform for suspected and infected persons of COVID-19 to be reported, tracked and managed remotely.

AUTOMATIC SEGMENTATION OF VIDEO OBJECT PLANES IN MPEG-4 BASED ON SPATIO-TEMPORAL INFORMATION

Segmentation of semantic Video Object Planes (VOP's) from video sequence is a key to the standard MPEG-4 with content-based video coding. In this paper, the approach of automatic Segmentation of VOP's Based on Spatio-Temporal Information (SBSTI) is proposed.The proceeding results demonstrate the good performance of the algorithm.

Research on Ubiquitous Map Information Organization Oriented to Location-Based Aggregation

In the era of information and communication technology (ICT) and big data, the map gradually shows a new qualitative feature of “spatiotemporal ubiquitous” due to the extension of its object space and the geographic information it contains, which brings new challenges to map information organization. This paper analyzes the concept and information characteristics of the ubiquitous map. Based on that, it proposes a ubiquitous map information organization model oriented to location-based aggregation. This new model includes three parts as “ubiquitous map instance”, “location-based aggregation mode” and “map scene”. This paper focuses on the “map scene” part which is the core of the model and contains two mutually mapped aspects as “content scene” and “representation scene”. And both aspects are divided into three levels as “features” ←→ “elements” ←→ “scenes” according to ubiquitous map information characteristics and location-based aggregation mode. With cases of map decomposition, the application of the model is explained to illustrate its effectiveness. The model is expected to provide powerful data organization and management capabilities for ubiquitous map production and use.

G-CPT Symmetry of Quantum Emergence and Submergence—An Information Conservational Multiagent Cellular Automata Unification of CPT Symmetry and CP Violation for Equilibrium-Based Many-World Causal Analysis of Quantum Coherence and Decoherence

An equilibrium-based YinYang bipolar dynamic Generalization of CPT (G-CPT) symmetry is introduced based on energy/information conservational quantum emergence-submergence. As a bottleneck of quantum computing, quantum decoherence or collapse has been plaguing quantum mechanics for decades. It is suggested that the crux of the problem can trace its origin back to the incompleteness of CPT symmetry due to the lack of holistic representation for equilibrium-based bipolar coexistence. In this work, the notion of quantum emergence-submergence is coined as two opposite processes with bipolar energy/information conservation. The new notion leads to G-CPT symmetry supported by a Bipolar Quantum Cellular Automata (BQCA) interpretation of quantum mechanics. It is shown that the new interpretation further leads to the unification of electromagnetic particle-antiparticle bipolarity and gravitational action-reaction bipolarity as well as CPT symmetry and CP violation into a philosophically, geometrically and logically different quantum gravity theory. On one hand, G-CPT symmetry enables a Bipolar Quantum Agent (BQA) to emerge as a bipolar quantum superposition or entanglement coupled to a globally coherent BQCA;on the other hand, G-CP violation supports a causal theory of BQA submergence or decoupling from the global coherence. In turn, BQAs can submerge from one world but emerge in another within YinYang bipolar quantum geometry. It is suggested that all logical, physical, social, biological and mental worlds are bipolar quantum entangled under G-CPT symmetry. It is contended that G-CPT symmetry constitutes an analytical paradigm of quantum mechanics and quantum gravity—a fundamental departure from “what goes around comes around”. The new paradigm leads to a number of predictions and challenges.

Pricing Bermudan Option with Variable Transaction Costs under the Information-Based Model

The Bermudan option pricing problem with variable transaction costs is considered for a risky asset whose price process is derived under the information-based model. The price is formulated as the value function of an optimal stopping problem, which is the value function of a stochastic control problem given by a non-linear second order partial differential equation. The theory of viscosity solutions is applied to solve the stochastic control problem such that the value function is also the solution of the corresponding Bellman equation. Under some regularity assumptions, the existence and uniqueness of the solution of the pricing equation are derived by the application of the Perron method and Banach Fixed Point theorem.

Dominant Meaning Method for Intelligent Topic-Based Information Agent towards More Flexible MOOCs

The use of agent technology in a dynamic environment is rapidly growing as one of the powerful technologies and the need to provide the benefits of the Intelligent Information Agent technique to massive open online courses, is very important from various aspects including the rapid growing of MOOCs environments, and the focusing more on static information than on updated information. One of the main problems in such environment is updating the information to the needs of the student who interacts at each moment. Using such technology can ensure more flexible information, lower waste time and hence higher earnings in learning. This paper presents Intelligent Topic-Based Information Agent to offer an updated knowledge including various types of resource for students. Using dominant meaning method, the agent searches the Internet, controls the metadata coming from the Internet, filters and shows them into a categorized content lists. There are two experiments conducted on the Intelligent Topic-Based Information Agent: one measures the improvement in the retrieval effectiveness and the other measures the impact of the agent on the learning. The experiment results indicate that our methodology to expand the query yields a considerable improvement in the retrieval effectiveness in all categories of Google Web Search API. On the other hand, there is a positive impact on the performance of learning session.

An improved ISR-WV rumor propagation model based on multichannels with time delay and pulse vaccination

The rapid development of the Internet has broadened the channels of dissemination of information,it has also led to the rapid and widespread propagation of rumors,which can have a serious negative impact socially.In this paper,an improved ISR-WV rumor propagation model integrating multichannels is proposed by considering the system’s time delay,and the influence of different channels of propagation on the dynamic process is further analyzed.Moreover,the basic reproduction number R0,rumor-free equilibrium,and rumor-prevailing equilibrium,as well as their stability,are deduced.Then,an optimal control problem with pulse vaccination is designed.Finally,the validity of the model and theoretical results is verified by numerical simulations and a practical application.The results show that the rumor propagation threshold R0 is more sensitive to the rate of the propagation of the information base channel.The shorter the thinking timeτ_(1)required for the ignorant to react after obtaining the information,the larger the final scale of propagation.Under this condition,the time delayτ_(2)spent by a spreader in producing a video is negatively related to the final scale of the propagation;conversely,a longerτ_(1)implies that the person tends to more cognizant,which can suppress the spread of rumors.Under this condition,τ_(2)has little effect on the final scale of propagation.In addition,the results also prove that timely implementation of the pulse vaccination control strategy of popular science education can effectively control the propagation of rumors and reduce their negative impact.

Design for the simulation of space based information network

Ongoing research is described that is focused upon modelling the space base information network and simulating its behaviours： simulation of spaced based communications and networking project. Its objective is to demonstrate the feasibility of producing a tool that can provide a performance evaluation of various eonstellation access techniques and routing policies. The architecture and design of the simulation system are explored. The algorithm of data routing and instrument scheduling in this project is described. Besides these, the key methodologies of simulating the inter-satellite link features in the data transmissions are also discussed. The performance of both instrument scheduling algorithm and routing schemes is evaluated and analyzed through extensive simulations under a typical scenario.

Keystroke Dynamics Based Authentication Using Information Sets

This paper presents keystroke dynamics based authentication system using the information set concept. Two types of membership functions (MFs) are computed: one based on the timing features of all the samples and another based on the timing features of a single sample. These MFs lead to two types of information components (spatial and temporal) which are concatenated and modified to produce different feature types. Two Component Information Set (TCIS) is proposed for keystroke dynamics based user authentication. The keystroke features are converted into TCIS features which are then classified by SVM, Random Forest and proposed Convex Entropy Based Hanman Classifier. The TCIS features are capable of representing the spatial and temporal uncertainties. The performance of the proposed features is tested on CMU benchmark dataset in terms of error rates (FAR, FRR, EER) and accuracy of the features. In addition, the proposed features are also tested on Android Touch screen based Mobile Keystroke Dataset. The TCIS features improve the performance and give lower error rates and better accuracy than that of the existing features in literature.

A STUDY OF SOIL CONSERVATION MONITORING INFORMATION SYSTEM BASED ON REMOTELY SENSED DATA FOR A CATCHMENT ON THE LOESS PLATEAU

The Soil Conservation Monitorins Information System (SCMIS) presented in this paper is oriented to soil erosion control, resources exploitation, utilization, planning and management for a small watershed (about 10 sq. km.) on the Loess Plateau. It sums up Remote sensing (RS), Geographical Information System (GIS) and Expert System (ES) and consists of a integrated system. As a basic level information system of Loess Plateau, its perfection and psreading will bring about a great advance in resources exploitation and management of Loess Plateau.

Miscarriage—Evidence Based Information for the Web and Its Development Procedure

Objective: The aim of this paper is to describe the process of developing web information on miscarriage based on scientific evidence, for women and couples in Sweden experiencing miscarriage. Method: A participatory design was used which included researchers, professional experts and users. A participatory design was used involving researchers, professional experts and users. The information was developed in six stages: 1) identifying the needs of information;2) identifying and constructing the main areas of information and its paths;3) identifying and inviting experts for revision;4) developing the text;5) reviewing the text;6) design and structuring for adaption to website. Results: The text of information developed gradually based on the seven steps. The final text comprised three parts: 1) what is miscarriage;2) experiences of miscarriage;3) processing and planning for new pregnancy. Conclusion: Using participatory design was time and resource consuming, however it was functional for producing appropriate information for the target group. The developed evidence based facts text is assumed to be a complement to the information that is provided by the health care system.

基于局部-邻域图信息与注意力机制的会话推荐

针对基于匿名用户的会话推荐忽略了不同会话之间可能存在的协作信息,以及未考虑所预测的目标项与历史行为的相关性问题,提出一种基于局部-邻域图信息与注意力机制的会话推荐模型(SR-LNG-AM)。从当前会话和邻域会话构建的图结构中分别学习两种类型的项目转换信息,将其融合得到项目嵌入。使用软注意力机制生成全局嵌入,使用目标注意力机制针对不同的目标项自适应生成不同的目标嵌入。结合局部嵌入,进行预测。在两个真实数据集上与多个基线方法进行实验对比,实验指标均有提高,验证了该方法的有效性。

一种改进的Attention-Based LSTM特征选择模型

为了对高校学术活动进行信息提取和文本分类,基于结合注意力机制的长短期记忆网络(Attention-Based Long Short-Term Memory)特征选择模型,构建了高校学术活动分类系统。通过大量分析高校学术活动语料的特点,准确抽取学术活动的相关内容,改善了文本数据质量;提出了一种改进的Attention-Based LSTM特征选择模型,降低了数据维度,有效地突出了重点信息。实验结果表明,该方法提高了分类的准确率,其分类效果明显优于普通LSTM(Long Short-Term Memory)模型和传统模型的处理结果。