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In front of the conventional loudspeaker array, the sound pressure level of uniform distribution in a linear listening area is constrained by frequency range. In the previous papers, we have realized SPL distribution evenly from 200 to 500 Hz by controlling the phase of linear loudspeakers. However, with the increasing of frequency, we have to consider about the directivity of single loudspeaker....
The efficiency of Dual active bridge (DAB) converter is poor when it works with light load or the input voltage and output voltage are not matching with the transformer ratio. A novel one side single half bridge pulse-width-modulation plus phase-shift (HPPS) switching strategy is proposed in this paper to improve DAB work efficiency. The operation principle is demonstrated, and its power mathematic...
This paper presents a target tracking method based on cognitive waveform parameters design. Firstly, the state model and the measurement model are constructed with the moving state and the parameters of transmit waveform. Then, the particle swarm optimization particle filter is used to track the target which has a good performance on reducing the number of particles and degeneracy. On the basis, the...
In wheeled mobile robot servo system, active disturbance rejection control (ADRC) technology is introduced and such controller is designed. It aims at solving the problems including complex external disturbances, changeful model parameters, contradiction between rapidity and overshoot as well as conventional control strategies depending heavily on high precise object model. For parameter tuning, the...
Deploying small cells has been widely accepted as a viable solution to meet ever-growing demand of user traffic in cellular heterogeneous networks (HetNets). These small cells can be deterministically or randomly deployed. In this paper we consider a HetNet scenario where multiple small cells are randomly or deterministically overlaid with a macro cell. We use the hexagonal grid model for the deterministic...
Student's performance is classified into four levels, including below basic, basic, proficient, and advanced levels. The descriptions of the performance standard make students understand their learning achievement via percentile rank (PR), a norm-referenced score, and T score (I). This paper develops an adaptive student assessment system and invites elementary-school students to do a test in mathematics...
In order to apply the traditional traffic assignment model in the actual network, firstly this paper distinguishes the impact of intersection delay between different steering on traffic assignment by changing the topology of network. Secondly this paper presents a modified dijkstra algorithm based on the changed topology of network and presents a modified traffic assignment algorithm based on the...
The realization of Intelligent Transportation System requires the traffic recording data of high quality and sufficient integrity. Such requirements call for pre-processing of the original data. Focusing on traffic flow and in according to the spatial and temporal correlation of traffic flow data, this paper proposes a data recovering method to recover the lost portion of the original data, which...
Feeds are user-generated contents or actions in online social network (OSN). Users generate feeds for self-expression and view feeds generated by friends. In this paper, we try to analyze activities of users in one OSN by exploring two aspects: whether users are becoming inactive in generating feeds, and how these inactive users affect the feeds received by other users and thus cause collapse of the...
The certificated rank of the human Go player is a number with a high uncertainty so the performance of the human Go player does not always meet the level of the certificated rank. However, the performance of the human Go player, especially for children, may be affected by the on-the-spot environment as well as physical and mental situations of the day. Combined with the technologies of the particle...
The traditional test usually uses a score to present the students' learning performance; however, it seems difficult to clearly understand the students' learning performance only by the score. As a result, this paper proposes an adaptive fuzzy ontology for student learning assessment and applies it to mathematics area. First, the domain experts construct the adaptive mathematics fuzzy ontology by...
In this paper, we propose a novel method based on the combination of Named Entity Recognition and Entity Rank algorithm for detecting key entities with significant influence and importance from huge sentiment data collected from Internet. Firstly, we extract entities from the target news websites and forums using a rule-based and CRF combined method. Secondly, we use the Entity Rank algorithm to calculate...
In many decision problems, there are two levels of choice: The first one is strategic and the second is tactical. We formalize the difference between both and discuss the relevance of the bandit literature for strategic decisions and test the quality of different bandit algorithms in real world examples such as board games and card games. For exploration-exploitation algorithm, we evaluate the Upper...
A global view of intelligence research can reveal the intellectual structure of this domain. This research can also find the set of core researchers, show the literature citation network and institutional collaboration, and dig the research hotspot. All of the useful information can help both experts and newcomers in this domain gain a faster and deeper understanding of contemporary status to intelligence...
Previous studies show that the placement layout of beacons has a strong impact on localization performance. Therefore, the effectiveness of beacon location should be considered in designing the deployment or the sleeping scheduling of beacons. We propose a Distribution-Adapted Grid (DAG) measurement to adapt the non-uniform distribution impact observed by real WSN nodes to precisely measure the effectiveness...
In recent years, many models have been introduced to study on that how those microcosmic individuals with different opinions tend to format macroscopic consensus in the opinion interaction, which have been described by evolutionary game theory. This paper introduce the game theory to model the formation of binary opinions in signed network: cooperative game is used to model the interaction rules of...
with the spread of a large number of web application, more and more software requirements are proposed. Especially in management information system, it is necessary to maintain the scalability of the database and the flexibility of the software architecture. To meet the development of the software, a lot of novel technologies are presented. The framework based on Struts, Spring and Hibernate is one...
For the problem of vehicle license plate detection in complex background image, a vehicle license plate detection method based on clustering analysis theory is propose. Based on FCM (Fuzzy C-Mean) clustering algorithm, For the features of vehicle license plate, FCM algorithm is improved to effective segment the image, then according to the features of license plate in image, using progressive scanning...
Regarding to the limitations of the existing K nearest neighbor non-parametric regression methods, spatial autocorrelation analysis is used to determine the state vector in this paper. In order to improve the speed of searching data, this paper uses the method of clipping samples to reduce data storage and split the sample quickly by KD-Tree. It also reduces the search volume of the nearest neighbor...
Decision makers are required to make critical decisions throughout all stages of a life-cycle in large-scale projects. These decisions are important as they impact upon the outcome and the success of projects. In this paper we present an evidential reasoning framework to aid decision-makers in the decision making process. This approach utilizes the Dezert-Smarandache Theory (DSm) to fuse heterogeneous...
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