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    题名 作者 年代 出处 被引量
1老年听力损失现状和干预策略显示文摘David JIANG 邹凌 2006中国听力语言康复科学杂志2006,,1:17
2后顶叶空间注意功能的跨颅骨磁刺激仪研究显示文摘目的 探讨后顶叶的空间注意功能。方法 使用跨颅骨磁刺激仪 (TMS)干扰后顶叶的活动 ,观察被试在Conjunc tion作业中反应时间的变化。结果 使用TMS干扰后顶叶的活动时 ,初试的被试反应时间明显增加 ,但是非初试被试的反应时间没有变化。结论 后顶叶的作用不是记忆 。王福顺 冯鉴强 Vincent Walsh 2002中国行为医学科学2002,11,1:9
3MAV/UAV task coalition phased-formation method显示文摘The formation of the manned aerial vehicle/unmanned aerial vehicle(MAV/UAV) task coalition is considered. To reduce the scale of the problem, the formation progress is divided into three phases. For the task clustering phase, the geographical position of tasks is taken into consideration and a cluster method is proposed. For the UAV allocation phase, the UAV requirement for both constrained and unconstrained resources is introduced, and a multi-objective optimal algorithm is proposed to solve the allocation problem. For the MAV allocation phase, the optimal model is firstly constructed and it is decomposed according to the ideal of greed to reduce the time complexity of the algorithm. Based on the above phases, the MAV/UAV task coalition formation method is proposed and the effectiveness and practicability are demonstrated by simulation examples.JIAO Zhiqiang YAO Peiyang ZHANG Jieyong ZHONG Yun WANG Xun 2019Journal of Systems Engineering and Electronics2019,30,2:8
4Hybrid Particle Swarm Optimization Algorithm Based on Entropy Theory for Solving DAR Scheduling Problem显示文摘An efficient task-scheduling algorithm in the Digital Array Radar(DAR) is essential to ensure that it can handle a large number of requested tasks simultaneously. As a solution to this problem, in this paper, we propose an optimization model for scheduling DAR tasks using a hybrid approach. The optimization model considers the internal task structure and the DAR task-scheduling characteristic. The hybrid approach integrates a particle swarm optimization algorithm with a genetic algorithm and a heuristic task-interleaving algorithm. We introduce the chaos theory to optimize initialized particles and use entropy theory to indicate the diversity of particles and adaptively adjust the inertia weight, the crossover probability, and the mutation probability. Then, we improve both the efficiency and global exploration ability of the hybrid algorithm. In the framework of the swarm exploration algorithm, we include a heuristic task-interleaving scheduling algorithm, which not only utilizes the wait interval to transmit or receive subtasks, but also overlaps the receive intervals of different tasks. In a large-scale simulation,we demonstrate that the proposed algorithm is more robust and effective than existing algorithms.Haowei Zhang Junwei Xie Jiaang Ge Junpeng Shi Zhaojian Zhang 2019Tsinghua Science and Technology2019,24,3:8
5Earth observation satellite scheduling for emergency tasks显示文摘The earth observation satellites(EOSs)scheduling problem for emergency tasks often presents many challenges.For example,the scheduling calculation should be completed in seconds,the scheduled task rate is supposed to be as high as possible,the disturbance measure of the scheme should be as low as possible,which may lead to the loss of important observation opportunities and data transmission delays.Existing scheduling algorithms are not designed for these requirements.Consequently,we propose a rolling horizon strategy(RHS)based on event triggering as well as a heuristic algorithm based on direct insertion,shifting,backtracking,deletion,and reinsertion(ISBDR).In the RHS,the driven scheduling mode based on the emergency task arrival and control station time window events are designed to transform the long-term,large-scale problem into a short-term,small-scale problem,which can improve the schedulability of the original scheduling scheme and emergency response sensitivity.In the ISBDR algorithm,the shifting rule with breadth search capability and backtracking rule with depth search capability are established to realize the rapid adjustment of the original plan and improve the overall benefit of the plan and early completion of emergency tasks.Simultaneously,two heuristic factors,namely the emergency task urgency degree and task conflict degree,are constructed to improve the emergency task scheduling guidance and algorithm efficiency.Finally,we conduct extensive experiments by means of simulations to compare the algorithms based on ISBDR and direct insertion,shifting,deletion,and reinsertion(ISDR).The results demonstrate that the proposed algorithm can improve the timeliness of emergency tasks and scheduling performance,and decrease the disturbance measure of the scheme,therefore,it is more suitable for emergency task scheduling.SUN Haiquan XIA Wei HU Xiaoxuan XU Chongyan 2019Journal of Systems Engineering and Electronics2019,30,5:8
6输出导向的Task板块教学模式探索显示文摘译林版《牛津高中英语》教材中的Task板块是教学的难点。针对该板块教学中的常见问题,本文提出,构建输出导向的Task板块教学模式,以增强该板块教学的科学性、实效性和可操作性。本文从理论依据、教材特点和方法优选三个方面对该模式进行了解读,并结合实例介绍了该模式的操作过程。杨宇学 2015中小学外语教学2015,38,10:7
7LilyTask任务并行环境中基于任务关系的初始任务分配算法显示文摘LilyTask是一个基于任务并行的并行程序设计环境,它引入了任务间关系的概念.任务间会由于这种任务依赖关系而产生等待,为了减少这种等待开销,LilyTask系统在预编译阶段分析这些数据依赖关系,并做出相应的静态任务分配.该文给出在LilyTask任务并行环境中的一族新的基于任务关系图的静态任务分配的算法——WCP算法,并在实际测试中与另外两个著名的静态分配算法ETF和MCP算法作了比较,测试结果说明WCP算法在任务计算开销与通信开销不能准确给出的情况下有更好的分配效果.邸楠 王韬 李晓明 2005计算机学报2005,28,5:6
8Efficient Task Completion for Parallel Offloading in Vehicular Fog Computing显示文摘In this paper,we investigate vehicular fog computing system and develop an effective parallel offloading scheme.The service time,that addresses task offloading delay,task decomposition and handover cost,is adopted as the metric of offloading performance.We propose an available resource-aware based parallel offloading scheme,which decides target fog nodes by RSU for computation offloading jointly considering effect of vehicles mobility and time-varying computation capability.Based on Hidden Markov model and Markov chain theories,proposed scheme effectively handles the imperfect system state information for fog nodes selection by jointly achieving mobility awareness and computation perception.Simulation results are presented to corroborate the theoretical analysis and validate the effectiveness of the proposed algorithm.Jindou Xie Yunjian Jia Zhengchuan Chen Zhaojun Nan Liang Liang 2019China Communications2019,16,11:5
9Sustainablc agriculture progress and tasks inrecent studies in China显示文摘In the paper the sustainable agricultural development is detailed. China, Which is amongthe eariest countries that published its State Agenda 21 in the worid, is facing a lot of challenges andproblems in the developmen of sustainable agriculture. Although great attention has been paid to andeffective actions taken to agricultural development, there are still a lot of tasks awaiting to be done.Furthermore, the strategies and measures of sustainable agriculture that must be correctly selectedaccording to the element combinative theory in the future are put forward.LIU Yan-sui, WU Chuan-jun(Institute of Geography Chinese Academy of Sciences, Beijing 100101, China) 1999Journal of Geographical Sciences1999,9,3:4
10Involvement Load Hypothesis and Senior Middle School Students' Vocabulary Retention显示文摘The purpose of the paper is to study retention of vocabulary acquired incidentally on task-induced involvement by senior middle school students. Grade two of senior middle students participated in the experiments, testing whether retention of vocabulary acquired incidentally is contingent on amount of task-induced involvement.Using short-and long term, namely immediate posttest and delayed posttest, retention of twelve unfamiliar words was investigated in three learning tasks (reading, reading plus fill-in and writing) with varying degrees of “involvement load”- various combinations of need, search and evaluation. The results of the experiment partially support the Involvement Load Hypothesis: retention in the writing group was higher than that in the reading plus fill-in group; retention in the reading plus fill-in group was higher than that in the reading group. The results are discussed in light of the construct of task-induced involvement.侯冬梅 2004陕西师范大学学报(哲学社会科学版)2004,33,S2:4
11Pulse interleaving scheduling algorithm for digital array radar显示文摘An online pulse interleaving scheduling algorithm is proposed for a solution to the task scheduling problem in the digital array radar(DAR). The full DAR task structure is explicitly considered in a way that the waiting duration is able to be utilized to transmit or receive subtasks, namely the pulse interleaving,as well as the receiving durations of different tasks are able to be overlapped. The algorithm decomposes the pulse interleaving scheduling analysis into the time constraint check and the energy constraint check, and schedules online all kinds of tasks that are able to be interleaved. Thereby the waiting duration and the receiving duration in the DAR task are both fully utilized. The simulation results verify the performance improvement and the high efficiency of the proposed algorithm compared with the existing ones.ZHANG Haowei XIE Junwei ZHANG Zhaojian ZONG Binfeng SHENG Chuan 2018Journal of Systems Engineering and Electronics2018,29,1:3
12UAV target tracking algorithm based on task allocation consensus显示文摘In order to adapt to the changes in the states of moving targets and meet the requirements of quality of service in communication among unmanned aerial vehicles(UAVs), the UAVs formation needs to dynamically adjust tracking tasks and tracking paths, when they carry out a mission of tracking multiple moving targets. A multi-targets tracking algorithm based on task allocation consensus is proposed for UAVs to track multiple moving targets under the distributed control architecture in the limited communication range. This algorithm creates a distributed dynamic task allocation model using intermittent asynchronous communication principle to realize the sharing of observation information gathered by each UAV with fewer communications. In addition, this algorithm also makes it possible that multi-UAVs can plan tracking paths for multiple moving targets. We implement the algorithm on the formation with three UAVs to track three moving targets through simulation. Simulation results show the effectiveness of the proposed algorithm.Yani Cui Jia Ren Wencai Du Jingguo Dai 2016Journal of Systems Engineering and Electronics2016,27,6:3
13A Multi-queue Approach of Energy Efficient Task Scheduling for Sensor Hubs显示文摘With the emergence of Internet of things(IoT), sensor hubs, which integrate data from different sensors, play increasingly important role. Energy efficiency is one of the most important issues for sensor hubs.To attack this challenge, this paper proposes a task scheduling scheme for sensor hubs to improve their energy efficiency. A multi-queue-based framework is designed, and its theoretical model and the corresponding mathematical analyses are presented. By optimizing the model with Lyapunov optimization techniques, an algorithm of energy efficient task scheduling in sensor hubs is proposed.Finally, simulation experiments based on real-life data extracted from Internet of vehicles(IoV) environments are conducted to validate the efficacy of the approach.HUANG Jiwei ZHANG Chenxiang ZHANG Jianbing 2020Chinese Journal of Electronics2020,29,2:3
14Multitarget stool DNA for colorectal cancer screening:A review and commentary on the United States Preventive Services Draft Guidelines显示文摘Multitarget stool DNA(mt-sDNA) testing was approved for average risk colorectal cancer(CRC) screening by the United States Food and Drug Administration and thereafter reimbursed for use by the Medicare program(2014).The United States Preventive Services Task Force(USPSTF) October 2015 draft recommendation for CRC screening included mt-s DNA as an 'alternative' screening test that 'may be useful in select clinical circumstances',despite its very high sensitivity for early stage CRC.The evidence supporting mt-s DNA for routine screening use is robust.The clinical efficacy of mt-s DNA as measured by sensitivity,specificity,life-years gained(LYG),and CRC deaths averted is similar to or exceeds that of the other more specifically recommended screening options included in the draft document,especially those requiring annual testing adherence.In a population with primarily irregular screening participation,tests with the highest point sensitivity and reasonable specificity are more likely to favorably impact CRC related morbidity and mortality than those depending on annual adherence.This paper reviews the evidence supporting mt-s DNA for routine screening and demonstrates,using USPSTF's modeling data,that mt-s DNA at three-year intervals provides significant clinical net benefits and fewer complications per LYG than annual fecal immunochemical testing,high sensitivity guaiac based fecal occult blood testing and 10-year colonoscopy screening.Barry M Berger Bernard Levin Robert J Hilsden 2016World Journal of Gastrointestinal Oncology2016,8,5:3
15A Multi-granularity Decomposition Mechanism of Complex Tasks Based on Density Peaks显示文摘There are many algorithms for solving complex problems in supervised manner. However, unsupervised tasks are more common in real scenarios. Inspired by the idea of granular computing and the characteristics of human cognitive process, this paper proposes a complex tasks decomposition mechanism based on Density Peaks Clustering(DPC) to address complex tasks with an unsupervised process, which simulates the multi-granular observation and analysis of human being. Firstly, the DPC algorithm is modified to nullify its essential defects such as the difficulty of locating correct clustering centers and classifying them accurately. Then, the improved DPC algorithm is used to construct the initial decomposition solving space with multi-granularity theory. We also define subtask centers set and the granulation rules to guide the multi-granularity decomposing procedure. These rules are further used to decompose the solving space from coarse granules to the optimal fine granules with a convergent and automated process. Furthermore, comprehensive experiments are presented to verify the applicability and veracity of our proposed method in community-detection tasks with several benchmark complex social networks.The results show that our method outperforms other four state-of-the-art approaches.Ziling Pang Guoyin Wang Jie Yang 2018Big Data Mining and Analytics2018,1,3:3
16Variable scheduling interval task scheduling for phased array radar显示文摘A scheduling algorithm is presented aiming at the task scheduling problem in the phased array radar. Rather than assuming the scheduling interval(SI) time, which is the update interval of the radar invoking the scheduling algorithm, to be a fixed value,it is modeled as a fuzzy set to improve the scheduling flexibility.The scheduling algorithm exploits the fuzzy set model in order to intelligently adjust the SI time. The idle time in other SIs is provided for SIs which will be overload. Thereby more request tasks can be accommodated. The simulation results show that the proposed algorithm improves the successful scheduling ratio by 16%,the threat ratio of execution by 16% and the time utilization ratio by 15% compared with the highest task mode priority first(HPF)algorithm.ZHANG Haowei XIE Junwei ZHANG Zhaojian SHAO Lei CHEN Tangjun 2018Journal of Systems Engineering and Electronics2018,29,5:3
17Research on a Task Planning Method for Multi-Ship Cooperative Driving显示文摘A new method for a cooperative multi-task allocation problem(CMTAP) is proposed in this paper,taking into account the multi-ship, multi-target, multi-task and multi-constraint characteristics in a multi-ship cooperative driving(MCD) system. On the basis of the general CMTAP model, an MCD task assignment model is established. Furthermore, a genetic ant colony hybrid algorithm(GACHA) is proposed for this model using constraints, including timing constraints, multi-ship collaboration constraints and ship capacity constraints. This algorithm uses a genetic algorithm(GA) based on a task sequence, while the crossover and mutation operators are based on similar tasks. In order to reduce the dependence of the GA on the initial population, an ant colony algorithm(ACA) is used to produce the initial population. In order to meet the environmental constraints of ship navigation, the results of the task allocation and path planning are combined to generate an MCD task planning scheme. The results of a simulated experiment using simulated data show that the proposed method can make the assignment more optimized on the basis of satisfying the task assignment constraints and the ship navigation environment constraints. Moreover, the experimental results using real data also indicate that the proposed method can find the optimal solution rapidly, and thus improve the task allocation efficiency.陈姚节 项珊珊 陈飞翔 2019Journal of Shanghai Jiaotong university(Science)2019,24,2:3
18恒河猴视觉分辨的反应抑制任务的行为训练及其应用显示文摘目的 训练恒河猴学习视觉分辨的 go/nogo任务 (反应抑制任务的一种 ) ,以便进行认知神经科学、心理药理学、精神病学等领域的研究。方法 训练恒河猴一手不动 ,另一只手按压微动开关启动训练 ,并对屏幕上呈现的“□”做持续按压开关 1s的反应 ,对“△”做松开开关的反应。应用该方法对两只恒河猴分三步进行训练 (nogo反应训练、go反应训练和 go/nogo反应训练 )。 结果 经过 30天左右的训练 ,两只猴正确反应率均可达 85 %以上 ,go反应的反应时为 0 .3~ 0 .6秒。 结论 此行为训练的方法简单、易行 ,是一种较好的李敏 沈政 黎海蒂 2001中国行为医学科学2001,10,5:2
19Distributed tasks-platforms scheduling method to holonic-C2 organization显示文摘To solve the problem of distributed tasks-platforms scheduling in holonic command and control(C2) organization,the basic elements of the organization are analyzed firstly and the formal description of organizational elements and structure is provided. Based on the improvement of task execution quality,a single task resource scheduling model is established and the solving method based on the m-best algorithm is proposed. For the problem of tactical decision-holon cannot handle tasks with low priority effectively, a distributed resource scheduling collaboration mechanism based on platform pricing and a platform exchange mechanism based on resource capacities are designed. Finally,a series of experiments are designed to prove the effectiveness of these methods. The results show that the proposed distributed scheduling methods can realize the effective balance of platform resources.WANG Xun YAO Peiyang ZHANG Jieyong WAN Lujun JIA Fangchao 2019Journal of Systems Engineering and Electronics2019,30,1:2
20Is transformational leadership always good for employee task performance?Examining curvilinear and moderated relationships显示文摘Transformational leadership,generally considered as a desirable leadership style,has positive effects on various performance outcomes of employees;however,its productivity has been called into question because of a relative neglect of its negative aspects.Addressing this gap,an attempt at rethinking the relationship between transformational leadership and employee performance is important.The paradoxical perspective indicates that conflicting positive and negative effects of transformational leadership can coexist,which provides possibility and rationality for thorough consideration of employees'task performance influenced by transformational leaders.Integrating the principle of diminishing marginal utility and the'Too-Much-of-a-Good-Thing(TMGF)'effect,this research explores an inverted U-shaped relationship between transformational leadership and employee task performance.Furthermore,applying social cognitive theory,we assume an employee's proactive personality moderates the curvilinear influence of transformational leadership on employees'task performance.As expected,results from a study of data from 209 supervisorsubordinate relationships from China showed that the inverted U-shaped relationship between transformational leadership and employees'task performance was moderated by employees'proactive personality.Theoretical and practical implications are discussed.Yashuo Chen Ranran Ning Tong Yang Shangjun Feng Chunjiang Yang 2018Frontiers of Business Research in China2018,12,4:2
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