机械加工过程中神经网络最优自适能力的控制研究

通过本次研究设计机械加工过程的最优自适合控制板型。本文提出了工程器械磨耗的神经网络测量的一个途径,并把机械加工过程的最优自适合扼制板型对应到神经网络优化电路板型中,设计出机械加工过程的神经网络最优自适合扼制系统。在机械加工过程中,期望在保障加工品质的同时,减低加工成本和增长出产率,机床和刃具经过测试被确认时,关键就在于确认最优的磨削用量,因为机械加工过程的最优自适合扼制引起了人们广泛的研究。

加强孩子生存教育,提高留守少年自适能力

随着社会经济的发展,进城务工的农民工数量不断增多。而多数进城务工的群众将留守儿童留在农村老家。虽然政府、社会和学校已开始关注这些学生,并采取了一些措施,但多数留守儿童的生存教育还处于起步阶段,存在着诸多问题。分析了当前留守少年的生存教育的现状,提出了改进措施,期望能够提高留守少年的自适能力,促进留守少年的健康发展。

基于贝叶斯优化算法的柔性外骨骼助力参数自适应优化

针对外骨骼助力函数无法自动调参,存在自适应能力不强的问题。提出一种基于贝叶斯优化的柔性外骨骼参数优化方法。通过计算人体运动的步行比,利用贝叶斯优化,找到最适合人体行走的参数值。该方法能使外骨骼具有更好的自适应性,并能降低运动下的人体代谢量。根据上述优化方法建立Adams-Simulink联合仿真模型,进行人体模型行走仿真,验证该方法有效性。最后,搭建一台前拉式柔性外骨骼样机以及对应的实验平台,进行行走实验,观测人体运动下的髋关节力矩变化,发现髋关节力矩较优化之前有一定程度下降。进行耗氧量测试,发现在参数优化情况下人体运动耗氧量有一定程度减少,以上仿真和实验验证该方法可以提高外骨骼的自适应性并有效降低运动下人体代谢量。

D*算法在柔性输送系统路径规划中的应用研究

针对柔性传输系统(FTS)对于最短路径规划问题的要求,提出将D*算法移植并嵌入到柔性传输机器人模型的控制系统中。简要介绍并分析了D*算法的基本原理,以位置已知、环境相对确定和最低路径代价为约束条件,建立FTS的最优路径规划模型,并进行仿真实验。实验结果表明,D*算法具有较好的避障自适应性能力、较高的柔性和动态响应特性,较之Bug算法、概率路标算法(PRM)和Bellman-Ford算法等,D*算法具有较快的收敛速度和较少的计算量,适合环境相对确定、多品种小批量柔性传输系统。

Comparing dynamical systems concepts and techniques for biomechanical analysis

Traditional biomechanical analyses of human movement are generally derived from linear mathematics.While these methods can be useful in many situations,they do not describe behaviors in human systems that are predominately nonlinear.For this reason,nonlinear analysis methods based on a dynamical systems approach have become more prevalent in recent literature.These analysis techniques have provided new insights into how systems(1) maintain pattern stability,(2) transition into new states,and(3) are governed by short-and long-term(fractal) correlational processes at different spatio-temporal scales.These different aspects of system dynamics are typically investigated using concepts related to variability,stability,complexity,and adaptability.The purpose of this paper is to compare and contrast these different concepts and demonstrate that,although related,these terms represent fundamentally different aspects of system dynamics.In particular,we argue that variability should not uniformly be equated with stability or complexity of movement.In addition,current dynamic stability measures based on nonlinear analysis methods(such as the finite maximal Lyapunov exponent) can reveal local instabilities in movement dynamics,but the degree to which these local instabilities relate to global postural and gait stability and the ability to resist external perturbations remains to be explored.Finally,systematic studies are needed to relate observed reductions in complexity with aging and disease to the adaptive capabilities of the movement system and how complexity changes as a function of different task constraints.

Adaptive Application Offloading Decision and Transmission Scheduling for Mobile Cloud Computing

Offloading application to cloud can augment mobile devices' computation capabilities for the emerging resource-hungry mobile application, however it can also consume both much time and energy for mobile device offloading application remotely to cloud. In this paper, we develop a newly adaptive application offloading decision-transmission scheduling scheme which can solve above problem efficiently. Specifically, we first propose an adaptive application offloading model which allows multiple target clouds coexisting. Second, based on Lyapunov optimization theory, a low complexity adaptive offloading decision-transmission scheduling scheme has been proposed. And the performance analysis is also given. Finally, simulation results show that,compared with that all applications are executed locally, mobile device can save 68.557% average execution time and 67.095% average energy consumption under situations.

Capability Analysis of Chaotic Mutation and Its Self－Adaption

Through studying several kinds of chaotic mappings' distributions of orbital points, we analyze the capability of the chaotic mutations based on these mappings. Numerical experiments support our conclusions very well. The capability analysis also led to a self-adaptive mechanism of chaotic mutation. The introducing of the self-adaptive chaotic mutation can improve the performance of genetic algorithm very prominently.

Empirical assessment of adaptation to climate change impacts of mountain households:development and application of an Adaptation Capability Index

The present study proposes an index to assess the potential for adaptation to climate change for households in the mountainous regions. The index provides a realistic approach to recognize social and natural factors which contribute to successful adaptation and addresses several household functions, such as social networking, livelihood strategy, adjustment strategies, resource availability and accessibility. The proposed Adaptation Capability Index （ACI） is analytically defined, mathematically formulated and field tested on mountainous households in urban and semi-urban regions of the Uttarakhand Himalaya in India. To gather data on the topic relevant to the ACI, a household scale questionnaire was developed and administered to 12o heads of households through face-to-face interviews. The results highlight higher adaptive capability of urban households and low adaptation capacity of rural households due to poor farm productivity, low accessibility and availability of resources and technological input. Future programs and policies must include and implement regulations to remedy attributive factors responsible for higher adaptation. This paper may be applicable to other mountainous regions and may provide insights for effective adaptation strategies to climate change.

Autophagy Enhances the Aggressiveness of Human Colorectal Cancer Cells and Their Ability to Adapt to Apoptotic Stimulus

Objective To investigate LC3B-Ⅱand active caspase-3 expression in human colorectal cancer to elucidate the role of autophagy and to explore the relationship of autophagy with apoptosis in human colorectal cancer. Methods LC3B expression was detected by immunohistochemistry in 53 human colorectal cancer tissues and 20 normal colon tissues.The protein levels of LC3B-Ⅱand active caspase-3 were also determined by Western blot analysis in 23 human colorectal cancer tissues and 10 normal colon tissues. Results LC3B was expressed both in cancer cells and normal epithelial cells.LC3B expression in the peripheral area of cancer tissues was correlated with several clinicopathological factors,including tumor differentiation(P=0.002),growth pattern of the tumor margin (P=0.028),pN(P=0.002),pStage(P=0.032),as well as vessel and nerve plexus invasion(P=0.002).The protein level of LC3B-Ⅱin cancer tissue was significantly higher than in normal tissue(P=0.038),but the expression of active forms of procaspase-3 in cancer tissue was lower(P=0.041).There was a statistically significant positive correlation between the expression levels of LC3B-Ⅱand the active forms of procaspase-3(r=0.537,P=0.008). Conclusions Autophagy has a prosurvival role in human colorectal cancer.Autophagy enhances the aggressiveness of colorectal cancer cells and their ability to adapt to apoptotic stimulus.

Adaptive Optimal Capacity Perception and Control for Wireless Multi-Hop Networks

In wireless multimedia communications, it is extremely difficult to derive general end-to-end capacity results because of decentralized packet scheduling and the interference between communicating nodes. In this paper, we present a state-based channel capacity perception scheme to provide statistical Quality-of-Service (QoS) guarantees under a medium or high traffic load for IEEE 802.11 wireless multi-hop networks. The proposed scheme first perceives the state of the wireless link from the MAC retransmission information and extends this information to calculate the wireless channel capacity, particularly under a saturated traffic load, on the basis of the interference among flows and the link state in the wireless multi-hop networks. Finally, the adaptive optimal control algorithm allocates a network resource and forwards the data packet by taking into consideration the channel capacity deployments in multi-terminal or multi-hop mesh networks. Extensive computer simulations demonstrate that the proposed scheme can achieve better performance in terms of packet delivery ratio and network throughput compared to the existing capacity prediction schemes.

Local Path Planning Method of the Self-propelled Model Based on Reinforcement Learning in Complex Conditions

Conducting hydrodynamic and physical motion simulation tests using a large-scale self-propelled model under actual wave conditions is an important means for researching environmental adaptability of ships. During the navigation test of the self-propelled model, the complex environment including various port facilities, navigation facilities, and the ships nearby must be considered carefully, because in this dense environment the impact of sea waves and winds on the model is particularly significant. In order to improve the security of the self-propelled model, this paper introduces the Q learning based on reinforcement learning combined with chaotic ideas for the model＇s collision avoidance, in order to improve the reliability of the local path planning. Simulation and sea test results show that this algorithm is a better solution for collision avoidance of the self navigation model under the interference of sea winds and waves with good adaptability.

Power Electronic Interface with Islanding Detection and Unbalanced Fault Ride-through Capability

Power electronic interface of dispersed generation plays a very important role in connecting a dispersed generation with utility grids. A power electronic interface not only adjusts the amount of active and reactive power injecting into a grid but also implements other importance duties as well. In this study, negative-sequence current injection has been fulfilled in three-phase power electronic interface for two important duties besides injecting reference power into utility grids. The first one is for islanding detection, and the other one is to enhance unbalance-fault ride-through capability of dispersed generation. This paper introduces a mechanism of negative-sequence injection based on controlling two separate coordinates of dq-control and explains the effect of negative-sequence injection in limiting the unbalanced currents generated from a dispersed generation. Using adaptive notch filter as a signal processing unit for the three-phase system, negative-sequence components are observed. The performance of entire control system is evaluated by time domain simulations, PSCAD/EMTDC （power systems computer aided design/electromagnetic transients including DC）.

From foraging to autonoetic consciousness： The primal self as a consequence of embodied prospective foraging

The capacity to adapt to resource distributions by modulating the frequency of exploratory and exploitative behaviors is common across metazoans and is arguably a principal selective force in the evolution of cognition. Here we （I） review recent work investigating behavioral and biological commonalities between external foraging in space and internal foraging over envi- ronments specified by cognitive representations, and （2） explore the implications of these commonalities for understanding the origins of the self. Behavioural commonalities include the capacity for what is known as area-restricted search in the ecological literature： this is search focussed around locations where resources have been found in the past, but moving away from locations where few resources arc found, and capable of producing movement pattems mimicking L6vy flights. Area-restricted search shares a neural basis across metazoans, and these biological commonalities in vertebrates suggest an evolutionary homology be- tween external and internal foraging. Internal foraging, and in particular a form we call embodied prospective foraging, makes available additional capacities for prediction based on search through a cognitive representation of the external environment, and allows predictions about outcomes of possible future actions. We demonstrate that cognitive systems that use embodied prospec- tive foraging require a primitive sense of self, needed to distinguish actual from simulated action. This relationship has implica- tions for understanding the evolution of autonoetic consciousness and self-awareness.