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Abstract: The output power of photovoltaic(PV) array depends on solar irradiation levels and ambient temperature. To make full utilization of PV array output power, this paper develops a controller based on AVR Mega16 microcontroller in a PV power system. The controller is used to implement the proposed incremental conductance(IncCond) maximum power point tracking (MPPT) algorithm, which gives a pulse width modulation (PWM) to drive the boost DC/DC converter in the photovoltaic system, and force the photovoltaic module to operate at the maximum power point. The obtained simulation results demonstrate the performance of the proposed MPP-controller. [Copyright &y& Elsevier]

Abstract: Smart distribution grid is an important part of smart grid. Cloud model is used in smart distribution grid; It can achieve mutual combination and conversion between the qualitative evaluation system and the quantitative study. The paper introduces the development status of the smart distribution grid and distribution grid, the numerical characteristics of cloud model and algorithm of synthesized cloud. By establishing the model of two-level index synthesized cloud and remarks cloud, the evaluation results can be given in the form of probability distribution. The example shows that the model of the evaluation results is intuitive and reliable; it has important significance in guiding practice. [Copyright &y& Elsevier]

Abstract: With the development of economy, technology and society, the requirements of power quality improved gradually. To improve power quality should obtain power informations first, and the direct approach of obtaining informations is detecting the power quality. It is quite effective to detect and analyze the singularity and singularity positions of signals by using wavelet transform, because wavelet transform has space localized properties. This paper firstly expounds the principle of wavelet singularity detection and the relationships between signal singularity and maximal modulus of wavelet transform. Secondly, the algorithm on measuring the begin-end time of voltage sag in the electrical distribution system is analyzed by using binary wavelet. Finally, this algorithm is simulated by MATLAB. Experimental results show that this method can detect the begin-end time of disturbance signal accurately [Copyright &y& Elsevier]

Abstract: This paper presents a new control strategy combining the direct torque control of induction motors with the dual bridge matrix converter, and gives the modulation algorithms of dual bridge matrix converter rectifier and the method of inverter direct torque control. This control method can realize the direct torque control of induction motors with a good dynamic performance, but also get good input current waveforms and adjustable power factor. The simulation results show the validity and feasibility of the proposed control strategy. [Copyright &y& Elsevier]

Abstract: In this paper, unified loss expressions are introduced based on the loss expression of transformer''s independent operation. These unified expressions combine loss expressions of both independent and parallel operation of double winding or three-winding transformer. Based on the unified loss expression, a unified energy saved amount expression and a unified optimal load shift amount expression in peak load shifting is derived. A calculation for an example is demonstrated to show the effect of peak load shifting to transformers’ energy saving. [Copyright &y& Elsevier]

Abstract: This paper focuses on the solar cell in the application of AUV in order to solve the energy restriction to distance sailing. Analysis of the solar cell maximum power tracking control algorithm and battery equalization charging method for series connected Lithium-Ion battery strings. Then design the maximum power tracking controller and battery equalization charging circuit and introduced the realization method. [Copyright &y& Elsevier]

Abstract: A current control method for a shunt hybrid active power filter (HAPF) using recursive integral algorithm is presented in this paper. The method improves performance of the HAPF system by reducing the influence of detection accuracy, time delay of instruction current calculation and phase displacement of output filter. Fuzzy logic based set-point weighing algorithm is combined in the control scheme to enhance its robustness and anti-interference ability. The proposed algorithm is easy for engineering application and has small computation capacity. Experiment results have verified the validity of the proposed controller. Furthermore the proposed recursive integral PI algorithm can also be applied in the control of periodic current as in AC drivers. [Copyright &y& Elsevier]

Abstract: Grover quantum search algorithm access the unsorted database O(N) times, however, the probability of acquiring solutions usually falls with the increase of the number of solutions, the reason of which is analyzed. To improve the performance of converging and optimizing for the intelligent optimization, some quantum evolutionary algorithms are proposed by domestic and foreign scholars. In this paper, a lot of improved Grover quantum search algorithms are introduced in detail. [Copyright &y& Elsevier]

Abstract: In this paper, a traction control algorithm based on fuzzy PID is proposed, and a hardware Hardware-in-the-loop (HIL) test bench which is based on the xPC Target™ product of MATLAB® is introduced. The control algorithm is validated using the test bench and the test results of show that the algorithm can control the spin of driven wheels effectively. [Copyright &y& Elsevier]

Abstract: According to the features of mine geographic network, the paper presents an algorithm of route searching for mine geographic network called tree growth. This algorithm can improve the searching efficiency for avoiding searching for the intersection part of the routes. If the node of the subsequent growing branch is the same as any element of the intersection namely node (or called meeting with a refusal), it will immediately change the direction. The tree growth algorithm can avoid the problem of searching combination explosion and is applicable to route searching for large-scale mine. [Copyright &y& Elsevier]

Abstract: Considering the increasing role of microturbines in distributed generation of combined heat and power (CHP), the localization of microturbine design and manufacturing technology has received great importance in Iran. Providing a complete and comprehensive algorithm can be a major step in reaching the goal. In this paper, we present the cycle for the thermofluids design of a 100 KW microturbine which is carried out at the Niroo Research Institute of Iran to simultaneously generate both electricity and useful heat. The characteristics of this system are as follows: revolution speed of 47750rpm, single shaft, natural gas as fuel, single stage radial turbine/compressor and annular combustion chamber. Based on the thermodynamic characteristics of the cycle, the characteristics of different components of microturbine are determined throughout the study. According to the determined values, we expect the cycle to achieve an efficiency of approximately 13% without the recuperator and 25% with the recuperator. It must be noted that the designed microturbine is going through the final assembly stages at the time and the performance test has not been conducted yet. Therefore, the over-all characteristics curve of the system was not available at the time of preparing this article. [Copyright &y& Elsevier]

Abstract: Accurate load forecasting is a great help for electric companies to make the best decisions in terms of unit commitment, generation and maintenance planning, etc. It is necessary that electric generation companies have prior knowledge of future demand with great accuracy. Some data mining algorithms play the greater role to predict the load forecasting. This paper investigates the application of artificial neural networks (ANN) and fuzzy logic (FL) as forecasting tools for predicting the load demand in short term category. In this case the forecasting is day ahead and it is observed that ANN represents the more accurate results in comparison to FL. Finally application of ANN in medium term load forecasting is implemented and the results are compared. [Copyright &y& Elsevier]

Abstract: Voltage fluctuation and flicker is an important indicator of power quality, so accurate measurement of it is important. This paper researches on voltage fluctuation and flicker measurement algorithm based on fast Fourier transform (FFT) in depth. Voltage fluctuation and flicker measurement based on LabWindows/CVI virtual instrument is realized by use of this algorithm and C language programming. Flow chart of measurement soft and detailed instructions is given. Finally, the measurement result is verified, and error analysis is carried. The calculation result of the algorithm can be consistent with IEC standards after amending the instantaneous flicker values. [Copyright &y& Elsevier]

Abstract: Multilevel inverters are widely used in solar energy generation systems consist of various photovoltaic generators. These converters deliver distorted output waveforms. There are trascendental equations characterizing the harmonic content but the degree of the polynomial increases with the number of DC sources or the number of harmonics to be eliminated. Also, the solutions are discontinuous in some points. In this paper, a way is proposed to minimize the output harmonics of a multilevel inverter, especially those of lower order. The Particle Swarm Optimization algorithm used to minimize the Total Harmonic Distortion, subject to restrictions on the harmonic content allowed. The appropriate switching angles can be calculated to eliminate low order harmonics. The proposed method has been succesfully applied to a cascaded multilevel converter of seven levels. Then, this method can be extended to more levels inverters. In case of a real-time application, the method can be useful because the switching angles can be stored. [Copyright &y& Elsevier]

Abstract: Back/forward sweep flow algorithm is a optimal way used to calculate loss for distribution economic operation. Combined the unique radial characteristic of distribution network, this paper propose a back/forward sweep distribution load flow algorithm based on network layer structure. Analyze the layer structure of the network nodes through the adjacency matrix multiplication and subtraction and the row vector corresponding to root node in created matrix,based on which get a layer matrix M* . M* as a selection operator simplifies the back/forward load calculation formulas. Reduce the computational complexity and increase the calculation efficiency. The result of IEEE33 nodes indicates that the algorithm proposed is valid. [Copyright &y& Elsevier]

Abstract: It is difficult to evaluate the performance of the different companies feasibly and fairly only depending on experts. An evaluation model based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is built to solve this problem. In this model, the method of data processing and the evaluation algorithms are analyzed detailed. By means of the evaluation model, eight electric power supply bureau of Chongqing are evaluated in this paper, and the results show feasibly and reasonably. [Copyright &y& Elsevier]

Abstract: In order to improve power quality and reduce network losses, this paper proposes a modified immune particle swarm algorithm for power system reactive power optimization. To overcome the disadvantages in the traditional PSO algorithm about low accuracy and easy to fall into local optimal, MIPSO adopts sinusoidal changing inertia weight strategy to make particles explore the local and global optimization more efficiently. Introduce convergence acceleration factor to improve the convergence rate. Modified immune principle enhances the search capability to avoid premature convergence. Finally, compare the reactive power optimization results of Wuzhong of Ningxia system by MIPSO with other classical PSO algorithms. The experimental results show that the MIPSO algorithm is an efficient and feasible approach for reactive power optimization. [Copyright &y& Elsevier]

Abstract: This paper proposes a regulation algorithm for the power flow regulation of a power system. The proposed method employs nodes unbalanced powers, which serves to assess the unsolvable status of the power system and to guide the corrective control strategy. Particle swarm optimization is applied to find the optimal control action, where the objective functions to be optimized are nodes unbalanced powers and load shedding. The method is applied on the New-England 39-bus test system. The proposed approach results have been compared to those that reported in the literature recently. The results are promising and show the effectiveness and robustness of the proposed approach. [Copyright &y& Elsevier]

Abstract: In this paper a test system for verifying disaggregation algorithms is presented. The main part of the test system is a test set generator. Based on the model of a real voltage source, the generator generates test sets. With these test sets the quality of the developed algorithms can be analyzed. These algorithms will be developed for the implementation in a smart meter. The smart meter system is used for the disaggregation of electrical appliances in residential buildings. This allows to be closed on energy consumption of the individual appliance. The development of a complete smart meter system is the goal of the research project “Smart Metering” at the University of Furtwangen. [Copyright &y& Elsevier]

Abstract: In this paper, a multi-period mixed integer nonlinear programming (MINLP) model for boiler steam system, which accounts for both the operating cost for each period and the changeover cost each between periods of operation, is presented. To find an exact solution for the MINLP problem within an allowable computation time, a new hybrid algorithm combining the line-up competition algorithm (LCA) with nonlinear programming is proposed. A boiler steam system contains six boilers is used for case study. And the results show a significant potential for cost saving. [Copyright &y& Elsevier]

Abstract: Building Energy Management System (BEMS) can save energy and minimize the impact on the environment due to energy efficiency technologies and systems. The most important thing of Building Energy Management is the monitoring of indoor environment in a building by various sensors such as temperature sensor, humidity sensor, illuminance sensor, motion sensor and CO2 sensor. We need to arrange environmental sensors automatically instead of manual disposition because it can save money and time, and display the disposition map of sensors in a monitor as a form of two dimensions or three dimensions. In this paper, we propose two types of automatic sensor arrangement system for building energy and environmental management which are automatic sensor arrangement system based on optimal disposition and automatic sensor arrangement system based on installation expenses, and explain each simulator algorithm and show arrangement positions of sensors in a designated room as a form of two dimensions. [Copyright &y& Elsevier]

Abstract: Power Conditioning System (PCS) in the photovoltaic system requires reliable islanding detection function (passive or active) in order to know electrical grid status and operate the grid connected inverter properly. This paper proposes a passive islanding detection algorithm based on the grid harmonic components. It utilizes the fact that the equivalent harmonic components at the point of common coupling (PCC) are changed according to the grid connection status. This method shows reduced Non-Detection Zone (NDZ) and fast detection time compared to the conventional approach. The mathematical modeling is performed and verified by experimental result using high performance DSP controller [Copyright &y& Elsevier]

Abstract: Nowadays, renewable energies have taken a special role in power systems and most of distributed generations (DGs) in power systems also utilize these types of energy resources. Their advantage, including the use of renewable energies which are not polluting environment and owning endless nature, the use of these resources to produce electrical energy in the world is increasing. A problem with such generators is the unwanted islanding phenomenon. In this paper, a new technique to detect islanding conditions has been proposed. The performance of the proposed method based on passive methods is much more appropriate than that of previous methods. The simulation results performed in MATLAB, clearly show improved operation of this method. [Copyright &y& Elsevier]

Abstract: Remote sensing image becomes a research focus on the earth observation, military reconnaissance and the missile field of image guided the end of extensive application of remote sensing image recognition. In this paper, the satellite remote sensing image data fusion techniques can detect and study the background from the remote sensing images to identify the airport runway, port and other linear goals and aircraft, as well as ships of small goals. Its purpose is for the parallel line Hough transformation detection of accelerated algorithm that is based on runways, ports and other linear large target detection location; it presents a linear phase analysis based on the port edge recognition algorithm. After the verification, the proof is the robustness of the algorithm and practice. [Copyright &y& Elsevier]

Abstract: This paper study on the negotiation organization form among multi-agent based on the negotiation net of supply chain. In fact, supply chain is an inter-form which between the open market and single enterprise, so the negotiation environment and negotiation agent of supply chain have their own characteristics. It is important to improve the efficiency and successful cooperation chance of negotiation between agents by building an appropriate negotiation organization form among multi-agent. A multi-agent negotiation-net and its building algorithm based on trust are proposed. Also we research the data structure and the organization framework of negotiation agents which are consider as the nodes in negotiation-net. At last, the performance and characters of the negotiation-net based on multi-agent are compared by the simulation experiment. [Copyright &y& Elsevier]

Abstract: FP-Growth is a recursive mining algorithm for frequent patterns. With each recursion, a new FP-tree and the corresponding header table are built. This paper proposes another approach to improve the mining efficiency: only one FP-tree is constructed, and instead of building new trees in every recursion, builds new header tables; frequent patterns are generated along the way, so we call this algorithm “header table recursion (HTR)” method. Tests show that it will get better performance for relative small datasets because the compress of the FP-tree has no significant impact on the performance yet inflicts extra time cost in tree creation operations. However on larger datasets, the traversal of the original FP-tree will become more time-consuming and its overall performance needs further testing. [Copyright &y& Elsevier]

Abstract: To a good number of medium and small enterprises, it is a serious problem how to decline production cost and improve the response to the market by normative management and sharing the information. As an advanced management method and an IT tool, ERP can solve all these problems well. And how to combine ERP with other advanced management methods (such as SCM) and make ERP fit to the mid-small enterprises becomes a hot question recently. Purchase stands on the upstream of SC and takes a strategic effect on cost and quality control. Advanced and efficient purchase management not only can supply continuous material to keep enterprise run perfectly but also can make enterprise more competitive in controlling the whole SC. MRP algorithm designed in this paper can be a good application of procurement management in the ERP system, and achieved good economic. [Copyright &y& Elsevier]

Abstract: In this paper, a new algorithm is proposed for estimation of one-dimensional coherent signal direction of arrival (DOA) based on MUSIC algorithm. Compared to spatial smoothing algorithm, a situation that the sub-array number and the total array number are the same has been extracted. Its best advantage is that it won’t cause a reduction of the array aperture and no aperture loss. In most cases, the proposed DOA estimation scheme outperforms the traditional spatial smoothing algorithm. [Copyright &y& Elsevier]

Abstract: Trellis coded modulation (TCM) combined with continuous phase modulation technique can be achieved high power and bandwidth efficiency. Frequency offset between a transmitter and a receiver is the most encountered problem in wireless communication systems. In this paper, we designed particular preamble bits for our TCM-CPM system, and then proposed a frequency offset estimation algorithm which need coarse estimation and fine estimation. The frequency offset can be estimated from the direct current component of Fast Fourier Transform (FFT). Simulation over AWGN channel demonstrate that the proposed algorithm can estimate the frequency offset precisely and can be applied in large Doppler frequency shift and high SNR environment. [Copyright &y& Elsevier]

Abstract: Tunnel kiln temperature control system is a typical system which has characteristics of complex, dynamic, and uncertainty. Under the conventional PID control, parameters are adjusted by experienced workers. In the steady-state, effect is better. If conditions change, it is difficult to be steady again. According to this characteristic, this paper proposes the use of improved particle swarm algorithm to optimize the PID control. And in the tunnel kiln temperature control system simulation, results of the two control methods are compared. Finally the optimized PID control effect is better. [Copyright &y& Elsevier]

Abstract: In this paper, we address the problem of consistency checking for Point Objects. A coordinate graph representation is introduced. The basic idea is to project the spatial constraints on both X and Y dimensions, and the graph is constructed on each dimension. By using the graph representation, the problem of consistency checking is then transformed to a graph cycle detection problem. The consistency checking can be achieved with O(N+E) time as well as space complexity, where N is the number of spatial objects, and E is number of spatial predicates in the constraint. The proposed approach to consistency checking for point objects is faster than O(N2) when the number of predicates is much smaller than N2 . The algorithm can also guarantee the global consistency. [Copyright &y& Elsevier]

Abstract: Route as a key support service in wireless sensor networks has been studied extensively. Currently, large numbers of routing protocols focus on minimizing the communication overhead and time delay under the assumption that the network is synchronized and all nodes keep active during the routing period. However, for the Wireless Audio Sensor Networks (WASNs), sensor nodes usually work in the event-driven mechanism and turn on the radio interface only when some events are detected. Therefore, traditional route protocols are not applicable to the WASNs. Designing an efficient routing protocol in WASNs to achieve real-time transmission of audio streams and maximize the network lifetime is a new challenge. In this paper, we propose a lightweight, low-power routing algorithm which can effectively guarantee the steams transmission of all the audio sensors. Besides, we also consider the multi-coverage of the routers in the protocol which can help to do the router scheduling and prolong the network lifetime. We have deployed this algorithm on our WASNs test bed. The experiment results show that the algorithm can satisfy varieties of applications with little communication overhead introduced. [Copyright &y& Elsevier]

Abstract: String matching is a fundamental problem in computer science. Multi-string matching plays an important role in pattern recognition, search engine, virus prevention, intrusion detection and others. Aho-Corasick (AC) algorithm is a widely used multi-string matching algorithm. In this paper, we present a space compacting method for AC automata based on node grouping and implement AC algorithm on GPU platform using CUDA (Computer Unified Device Architecture). We accelerate the anti-virus systems by our approach. We conduct several experiments, and our algorithm has at least 10 times of speedup of the algorithm on CPUs. [Copyright &y& Elsevier]

Abstract: The interior function int in computer algebraic system Maple always return unevaluated or an expression with transcendental functions for lots of definite integrals, whereas we could obtain the perfect result according to the method of mathematical analysis. In this paper, by using the theories of mathematical analysis and computer algebra, an effective algorithm for definite integral was established, and a new Maple program myint for it was established, too. It indicated that myint has the better ability for computing the definite integral than int in Maple of the current version. This would be useful for some calculating problems of engineering mathematics. [Copyright &y& Elsevier]

Abstract: This paper introduce EMD as a useful measurement of success in selection of the LDPC code from selected ensemble. When EMD metric associated bad with other cycles in the code graph, which is unavoidable in constructing LDPC codes, we introduce cycle remove in order to improve LDPC codes’ performance. Experimental results show that the algorithm lower error floor and improve LDPC codes’ performance. [Copyright &y& Elsevier]

Abstract: Electroencephalogram EEG and MEG research are the non-invasive brain imaging techniques. The main research measured by the scalp EEG or MEG brain source signals can obtain three-dimensional quantitative information. Structure to match with the actual situation is the first model to solve EEG forward, the inverse problem of the clinical effectiveness of pre-conditions and key. Model of the head and the head are on the premise for the brain magnetic resonance image contour extraction and segmentation. Since the first complex internal structure, the access to the brain volume data segmentation is more difficult. In this paper, we propose a simulated annealing-based deformable model method and realize the head T2 weighted magnetic resonance images of the cross-sectional area of the extraction of the brain. To avoid falling into the local minimum in the deformation of the deformable model, we use a simulated annealing process of thinking, making the algorithm with the global search capability. The experimental results show that the improved algorithm is effective and robust. [Copyright &y& Elsevier]

Abstract: A Mobile Ad Hoc Network (MANET) is a dynamic wireless network that can be formed without the need for any pre-existing infrastructure in which each node can act as a router. Clustering is a method for hierarchical management of a network. Especially, clustering is often used in MANETs. In order to maintain the stability of clusters, speed of mobile nodes, but not the identity and connectivity, are taken as the basis of clusterhead election. This paper proposes Mobility Entropy-based Clusterhead selection Algorithm for ad hoc networks (MECA). The protocol constructs a new etric of node stability and selects a stable clusterhead with the help of entropy metric to reduce the number of clusterhead reconstruction. It selects the nodes which have the most weight and stability to be the clusterheaders. Simulations demonstrate the performance benefits of our proposal MECA over RSCA in most movement scenarios. [Copyright &y& Elsevier]

Abstract: Wireless sensor network is a complex permanent facility without new self-organizing wireless network. In recent years, with the rapid development of the microelectronic technology, sensor technology and communication technology, wireless sensor network technology is rapidly developing with the quick progress, and it is also successful in the specific field, such as military and civilian. Because of its wide range of application, the future development of wireless sensor network is brilliant. This paper is based on LEACH protocol to propose an improved routing protocol LEACH-NEW. LEACH-NEW protocol is used a combination of distributed and centralized way to improve the cluster head selection algorithm. LEACH-NEW agreement can maintain the original characteristics of LEACH protocol, which is based on the extended network lifetime, and the base station to receive data and maintain the optimal number of cluster head with high performance. [Copyright &y& Elsevier]

Abstract: As smart grid promoted in China, Internet services are increasingly finding their way to home applications and gradually changing the traditional lifestyles. The home gateway is identified as a major component of the smart home network, which acts as a single point of connection between the home and outside world. In order to guarantee quality for the services including IPTV and VoIP, which requires high bandwidth and real-time support, the QoS guaranteed mechanism in home gateway should be considered. In this paper, a mechanism of home gateway is proposed to extend smart home network to be compatible for smart grid integration. The proposed mechanism classifies the traffic and manages resources by utilizing a novel scheduling algorithm to meet the user requirements on the home network QoS. Through the experiments of implementing the mechanism, performances of the proposed mechanism such as loss ratio, packets delay, and jitter are obtained. [Copyright &y& Elsevier]

Continuous Data Protection (CDP) is an emerging scheme of data backup and recovery. Compared with traditional data protection techniques, it can provide much higher reliability and allow the state of the storage to be reverted to any point-in-time (PiT) in the past. One big challenge which affects CDP recovery performance most is how the metedata of CDP are managed. During our experience of CDP system developing, we observed that efficient metadata management is so critical to the overall performance of CDP system. To illustrate how different management methods contribute to the CDP system, we present three related methods in this paper and evaluate all of them empirically. Our experimental results demonstrate that the difference in performance may amazingly reach several orders of magnitude. Our main contribution is twofold: we have put forward to two recovery algorithms called Full Recovery and Incre Recovery and three implementations called DIR_MySQL, OPT_MySQL and LOG_CDP for each, in particular, the one that is much faster than the other two. [ABSTRACT FROM AUTHOR]

Abstract: Memory-based collaborative filtering is by calculating for the average ratings of the similar users or items to predict new rating. However, a number of similar ratings from users or items are not available, due to the sparse user-item rating matrix. Consequently, it is very poor to predict ratings accurately. This paper proposes a novel algorithm to overcome the sparsely of user-item rating matrix then calculate prediction rating using the new user-item matrix by combining user-based and item-based approach. First, we just use user-based and item-based methods to compute prediction rating respectively, which apply the adopt cosine similarity to compute users or items similarity. Second, we propose a baseline estimate method to process the extremely sparse data. Besides, a parameter is applied to join baseline estimate, user-based and item-based to predict rating of the blanks of user-item rating matrix. Third, we compute the final prediction rating utilizing the new user-item rating matrix. Finally, experimental results show that our proposed novel memory-based collaborative filtering algorithm can greatly improve the accuracy of prediction rating especially for extremely sparse data. [Copyright &y& Elsevier]

Abstract: Arnold Cat transformation is a classical algorithm of image scrambling. But its periodicity restrains the key space. This paper puts forward an improved Arnold method which uses PN sequence and secure hash algorithm to generate a random parameter sequence, divides an image into 4 pieces according to the sequence and carries out Arnold algorithm to the 4 pieces respectively. This algorithm effectively increases the number of the keys, and overcomes the attack via exhaustive analysis, which enhances the security. [Copyright &y& Elsevier]

Abstract: In order to locate the corner vertices on 3D mesh precisely, the paper proposes a novel method by extend the SUSAN operator to the 3D data. The algorithm selected the candidate corners by multi-stage adjacent information, calculated the deformation value on each candidate point, determined the 3D corners by deformation and finally applied nonmaximum suppression within the specified range for removing false point. Experiment results in real 3D models show the algorithm''s validity and superiority [Copyright &y& Elsevier]

Abstract: Real-time rendering of complex terrain, which is often used to meet the demand of the high fidelity of the virtual battlefield environments simulation, geographic information system (GIS), virtual reality (VR) and 3D games, has attracted growing interest at home and abroad over the last decades. In this paper, a hybrid terrain rendering algorithm combining multi-resolution terrain rendering and occlusion culling is analyzed, a terrain simulation loop which integrates multi-resolution terrain modeling and terrain occlusion culling based on the least square plane is proposed. The algorithm based on this method not only decreases the number of polygons sending to the graphics rendering pipeline efficiently, but also takes into account of the performance optimization and its extension for dynamic terrain. By implementing the algorithm and analyzing the results from experiments, we conclude that this algorithm is valid and applicable to complex occlusion-intensive terrain rendering system. [Copyright &y& Elsevier]

Abstract: The current overlapping community detection algorithm doesn’t take the neighborhood communities’ contribution to the neighbor overlapping into account. In this paper, we put forward an algorithm of detecting overlapping communities OCA which base on adjustable fitness and share neighbors. Its basic idea is that local information will help discover natural communities. Firstly, we take nodes with maximum degree as community seed and add neighbor nodes with maximum fitness to it. Then we take nodes that still do not be included in any communities, as seeds of new communities and iterate the community detecting process. Because some detected communities are overlapping, we introduce a quality function COD to evaluate community topology. And we take COD as the standard of whether the overlapping parts should be combined or not. Experiments on synthetic data sets and realworld networks show our method can accurately detect overlapping communities. [Copyright &y& Elsevier]

Abstract: This paper introduces a solution, Device Management Load Balancing Solution (DMLBS) which includes system design and load balancing algorithm, to achieve load balancing on Device Management server. Our solution improves both user response time and throughput for a single Device Management server, while exposing one interface to clients. DMLBS achieves its performance by using dynamic adaptive load balancing strategy and designing a mathematic model to measure Device Management server load. With these means, compared to two well-known load balancing algorithms (LeastLoaded and Round-Robin), DMLBS provides outstanding performance on load balancing. [Copyright &y& Elsevier]

Abstract: With the requirement of user information protect, the uncertain data gradually becomes a hot area in lots of studies. Reverse nearest-neighbors(RNN) queries based on uncertain dataset can be applied in many applications as an important query type. Monochromatic RNN queries on uncertain data have been studied. While there is no previous work on answering bichromatic RNN queries in the same condition. In this paper, a novel algorithm is presented named Bichromatic Reverse Nearest-Neighbors queries based on Uncertain Dataset (B-RNNUD for short) to resolve bichromatic case on uncertain dataset. Bichromatic RNN included two different types of objects. To meet the application on uncertain data, we make two types as specific points of type A and anonymous area of type B. Extensive experimental analysis shows that B-RNNUD is efficient, is scalable, and outperforms Muhammad [6] algorithms for the specific condition. [Copyright &y& Elsevier]

Abstract: An asynchronous one-sided message-passing programming (AOMP) model is provided in a in a P2P-based high performance computing system, P2HP-2. Here the instructions to parallelize applications with AOMP in P2HP-2 are presented in this paper. Therefore, the characteristics of applications are first formulized, where those with static datadependency can currently be applied in P2HP-2. Then the application are programmed with AOMP as a project with simple program multiple data (SPMD), where the procedure is processed as pretreatment, distributed computing, and post-treatment. Utilizing the application programming interfaces (APIs) of AOMP, the project is programmed and can be submitted to P2HP-2. Finally, a parallel serial threading algorithm with static data-dependency is created with AOMP. Through the experiments and analysis, great parallel efficiency has been achieved with the AOMP in P2HP-2, especially for those applications with static data-dependency [Copyright &y& Elsevier]

Abstract: Graph drawing problems can be applied to many reality places, which also deduce to some important graph drawing problems. Such as aesthetics criteria whose optimization can lead to acceptable drawings. This paper gives an algorithm for optimizing these criteria. We propose a new force-directed model to solve the graph drawing problems in 2-D frames and modify this hybrid force model to promote to normal drawing frame shape, especially regular triangle and circle drawing frames. For the regular triangle drawing frame, it can be applied to tree drawing problems and for the circle drawing frame shape we use it to suit the normal graph drawing problems. [Copyright &y& Elsevier]

Abstract: To solve the over-fitting problem due to the noise and outlier in the samples when Support Vector Machine or Fuzzy Support Vector Machine is used, in the paper it is proposed that the new close-type membership function is based on double super-ball thinking and k-nearest neighbor algorithm. Two parameters are considered in this close-type membership function, that one is relative distance between the sample and the other is the class center and the tightness around the sample. The classification results of the Fuzzy Support Vector Machine based on this close-type membership function applied in the image classification is more effective and accurate, Compared with traditional Support Vector Machine. The availability of the algorithm is verified in the test. [Copyright &y& Elsevier]