APPLICATION STUDY ON ADAPTIVE NEURAL FUZZY INFERENCE MODEL IN COMPLEX SOCIAL-TECHNICAL SYSTEM

The adaptive neural fuzzy inference system （ANFIS） is used to make a ease study considering features of complex social-technical system with the target of increasing organizational efficiency of public scientific research institutions. An integrated ANFIS model is built and the effectiveness of the model is verified by means of investigation data and their processing results. The model merges the learning mechanism of neural network and the language inference ability of fuzzy system, and thereby remedies the defects of neural network and fuzzy logic system. Result of this case study shows that the model is suitable for complicated socio-technical systems and has bright application perspective to solve such problems of prediction, evaluation and policy-making in managerial fields.

An Adaptive Tag Anti-Collision Protocol in RFID Wireless Systems

A novel anti-collision algorithm in RFID wireless network is proposed.As it is put forward on the basis of collision tree(CT)and improved collision tree(lCT) anti-collision protocols,we call it adaptive collision tree protocol(ACT).The main novelty of this paper is that the AD strategy is introduced and used in ACT to decrease collisions and improve the tag system throughput.AD strategy means that query strings will divide into two or four branches adaptively according to the label quantity.This scheme can decrease both depth of query and collision timeslots,and avoid producing too much idle timeslots at the same time.Both theoretical analysis and simulation results indicate that the novel proposed anticollision protocol ACT outperforms the previous CT and ICT protocols in term of time complexity,system throughput,and communication complexity.

Fuzzy least squares support vector machine soft measurement model based on adaptive mutative scale chaos immune algorithm

In order to enhance measuring precision of the real complex electromechanical system,complex industrial system and complex ecological & management system with characteristics of multi-variable,non-liner,strong coupling and large time-delay,in terms of the fuzzy character of this real complex system,a fuzzy least squares support vector machine(FLS-SVM) soft measurement model was established and its parameters were optimized by using adaptive mutative scale chaos immune algorithm.The simulation results reveal that fuzzy least squares support vector machines soft measurement model is of better approximation accuracy and robustness.And application results show that the relative errors of the soft measurement model are less than 3.34%.

Low Complexity Remote Radio Unit Selection and Adaptive Bit Partition Algorithm in Cooperative Distributed MIMO Systems

For multi-user cooperative Distributed MIMO (D-MIMO) systems, a low-complexity Remote Radio Unit (RRU) selection and adaptive bit partition algorithm is proposed to maximize the transmission Signal-to-Interference-Noise Ratio (SINR). Considering limited feedback, each user can adaptively select an RRU cluster to maintain the best communication quality. Under this condition, only one codebook is utilized for quantizing the Channel State Information (CSI) with variable dimensions, which effectively reduces the codebook storage amount. Furthermore, we propose an adaptive bit partition algorithm, which separately allocates bits to quantize the desired channels and interference channels. The optimal solution is achieved through an optimization theory to minimize the effect of inter-cell interference. Simulation results show that the proposed algorithm substantially improves the performance compared to other non-adaptive schemes.

Decoding on Adaptively Pruned Trellis for Correcting Synchronization Errors

Forward-backward algorithm, used by watermark decoder for correcting non-binary synchronization errors, requires to traverse a very large scale trellis in order to achieve the proper posterior probability, leading to high computational complexity. In order to reduce the number of the states involved in the computation, an adaptive pruning method for the trellis is proposed. In this scheme, we prune the states which have the low forward-backward quantities below a carefully-chosen threshold. Thus, a wandering trellis with much less states is achieved, which contains most of the states with quite high probability. Simulation results reveal that, with the proper scaling factor, significant complexity reduction in the forward-backward algorithm is achieved at the expense of slight performance degradation.

Low Complexity Minimum Mean Square Error Channel Estimation for Adaptive Coding and Modulation Systems

Performance of the Adaptive Coding and Modulation(ACM) strongly depends on the retrieved Channel State Information(CSI),which can be obtained using the channel estimation techniques relying on pilot symbol transmission.Earlier analysis of methods of pilot-aided channel estimation for ACM systems were relatively little.In this paper,we investigate the performance of CSI prediction using the Minimum Mean Square Error(MMSE)channel estimator for an ACM system.To solve the two problems of MMSE:high computational operations and oversimplified assumption,we then propose the Low-Complexity schemes(LC-MMSE and Recursion LC-MMSE(R-LC-MMSE)).Computational complexity and Mean Square Error(MSE) are presented to evaluate the efficiency of the proposed algorithm.Both analysis and numerical results show that LC-MMSE performs close to the wellknown MMSE estimator with much lower complexity and R-LC-MMSE improves the application of MMSE estimation to specific circumstances.

Nonlinear combined forecasting model based on fuzzy adaptive variable weight and its application

In order to enhance forecasting precision of problems about nonlinear time series in a complex industry system,a new nonlinear fuzzy adaptive variable weight combined forecasting model was established by using conceptions of the relative error,the change tendency of the forecasted object,gray basic weight and adaptive control coefficient on the basis of the method of fuzzy variable weight.Based on Visual Basic 6.0 platform,a fuzzy adaptive variable weight combined forecasting and management system was developed.The application results reveal that the forecasting precisions from the new nonlinear combined forecasting model are higher than those of other single combined forecasting models and the combined forecasting and management system is very powerful tool for the required decision in complex industry system.

Understanding the Interrelationship Between Global Terrorist Attacks and the Citizen＇s Wellbeing.＂ The Complexity of Terrorism

Terrorism is a global phenomenon that over the last 44 years more than 140,000 terrorist events have been carried out. In the period from 1970-2001, the five countries with the largest number of terrorist attacks were Colombia, Peru, El Salvador, United Kingdom, and India. On the other hand, in the post-2001 context, the five countries with the largest number of terrorist attacks were Iraq, Pakistan, Afghanistan, India, and Thailand. One method for measuring in an aggregate way, how many people have suffered under terrorist attacks at national level is to analyze the correlation between some national wellbeing indicators and the number of terrorist attacks. The aim of this study is to analyze empirically the correlation between the global terrorist attacks and the countries wellbeing indicators. Five indicators show a strong relationship with the number of terrorist attacks in the case of the four most attacked countries in the post-2001 context. The authors consider that their findings can support the design of new strategies for preventing terrorist activities taking into account certain socio-economic and political drivers. The authors conclude that as such drivers are socio-complex, so it is necessary to adopt the complex adaptive system （CAS） approach to provide a new way of thinking about terrorism.

FEM Using Adaptive Topography in 2-D MT Forward Modeling

Complex terrain causes great MT noise.This paper puts forward a FEM model method using adaptive topography and quadratic elements based on studies by previous researchers.This method can model all kinds of complicated terrain and geoelectric bodies preferably.The numeric modeling,calculation of the auxiliary field and definition of resistivity are deduced by electromagnetic equations.Lastly,several examples are presented,which show the method is rapid,effective and has highly accurate.

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.

MODELING AND ANALYSIS OF ENERGY SYSTEM BASED ON COMPLEX ADAPTIVE SYSTEM

Complex adaptive system (CAS) is a kind of complex system in natural and artificial systems.In this paper,the theory of complex adaptive system is introduced at first.Considering the characteristic of energy system,it can be regarded as a complex adaptive system.After the evolutionary law is analysed,the energy complex system model is established based on CAS and application tool SWARM,which is a simulation software platform.The model differs from the models as well as methods developed before.As an application,China's energy system is simulated with the model established above.China's future total energy demand in the future,energy structure and related in fluence on environment are presented.

SELF-ADAPTIVE CONTROLS OF A COMPLEX CELLULAR SIGNALING TRANSDUCTION SYSTEM

In cells, the interactions of distinct signaling transduction pathways originating from cross-talkings between signaling molecules give rise to the formation of signaling transduction networks, which contributes to the changes (emergency) of kinetic behaviors of signaling system compared with single molecule or pathway. Depending on the known experimental data, we have constructed a model for complex cellular signaling transduction system, which is derived from signaling transduction of epidermal growth factor receptor in neuron. By the computational simulating methods, the self-adaptive controls of this system have been investigated. We find that this model exhibits a relatively stable selfadaptive system, especially to over-stimulation of agonist, and the amplitude and duration of signaling intermediates in it could be controlled by multiple self-adaptive effects, such as 'signal scattering', 'positive feedback', 'negative feedback' and 'B-Raf shunt'. Our results provide an approach to understanding the dynamic behaviors of complex biological systems.

The Evolution Relationship with Supplies： a Study Based on Co-evolution

The traditionary point considers the stratagem relationship of SCP （supply chain partnership） which can be strengthened mutual relationship with supplies by holding the same stratagem to enhances performance of supply chain management. At present, many scholars have studied this relationship more and more, but much papers are not satisfyingly explain complex relationship with supplies. Because the more complex and the more dynamic the market changes, the more flexile the custom demand. So the tradition point faces new challenge, which relationship with supplies not only has the same stratagem based on long-profit but also has more flexile for adapting demand of market. In this paper, we use theory of biology and complex adaptive system （CAS）, points out the new relationship model called co-evolution relationship of SCP.