The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
For the first time, whole microbial-cell biocatalysis method was successfully applied by us to the production of glucose esters by transesterification of glucose with vinyl propionate. Among ten bacterial and fungal strains tested, lyophilized cells of Pseudomonas stutzeri strain GIM 1.273 efficiently catalyzed the reaction with the highest conversion and initial rate. 13 C NMR analysis showed...
This paper gives a new performance analysis method, which is through the Markov chain and queuing network model for Web server services thread and queue modeling, computing performance level coefficient, the different performance measurement data through the normalized integration, and presents an intuitive, quantitative results to match the best server configuration parameters. And on this basis...
Standard BP neural network is a most representative algorithm in the neural network model. But shortcomings exist in its process of application. For example: it's hard to reach global optima, but can easily form local minimum, Low study efficiency and slow convergence rate appear because of the excessive training, the selection of the hidden layer nodes lack of theoretical guidance, in training, there...
Rule set is a commonly used structure in rule engine. As an unambiguous rule set, the execution result in any context should be independent from the rule execution sequence. This paper proposes the necessary conditions of primal rule set to be unambiguous. An unambiguity verification algorithm for general rule set is also proposed to improve the unambiguity checking efficiency based on condition expression...
Wireless sensor network (WSN) applications require redundant sensors to guarantee fault tolerance. However, the same degree of redundancy is not necessary for multi-hop communication. In this paper, we present a new scheduling method called virtual backbone scheduling (VBS). VBS employs heterogeneous scheduling, where backbone nodes work with duty-cycling to preserve network connectivity, and non-backbone...
Large datasets become common in applications like Internet services, genomic sequence analysis and astronomical telescope. The demanding requirements of memory and computation power force data mining algorithms to be parallelized in order to efficiently deal with the large datasets. This paper introduces our experience of grouping internet users by mining a huge volume of Web access log of up to 100...
For a multiple-segment flight of passenger aircraft, the primary objective of commodity load planning is to improve the operational efficiency of the whole journey. Unfortunately the objective can not be measured due to the unavailability of down-line stations shipment information. Traditional optimization algorithm can not be directly applied. Rule based optimization approach is proposed in this...
MIMO multi-hop channel plays an important role in wireless ad hoc networks. In this paper, we investigate the resource allocation optimization problem in order to achieve throughput maximization with given resource constraints. We propose algorithms with low complexity to achieve maximum capacity. The main idea is to determine the rank of the optimal transmit covariance matrix and the optimal power...
We consider a network of sensors whose decisions are used to discriminate between two alternative hypotheses, after communication over a multiaccess channel. Each sensor makes independent local binary decisions. Using a distance measure, we consider optimizing the entire network under the assumption that sensors are grouped into classes with identical characteristics. We prove that it can be optimal...
This paper proposes an intelligent vehicle routing system on real-time in-transit goods status information and real-time traffic flow information of road network. The system collects and extracts real-time information of in-transit goods by attached active RFID tags. Real-time traffic flow information of observed roads and the vehicle location information are fed back by the driver of cargo. Moreover,...
For a multiple-segment flight of passenger aircraft, air cargo load planning is the trade-off between operation time, mishandling ratio, and load factor. A rule-based optimization approach is adopted by us to model the complex business logic. In the load planning, there are several atomic actions, which is relatively stable and linked together by rule flow. This paper discusses the optimization algorithms...
Without persons specially assigned to manage pedestrians, pedestrians almost are reluctant to wait in developing cities, such as Xipsilaan during green phases for vehicles. Thus, some vehicles may conflict with pedestrianspsila noncompliance, and be delayed. To solve the signal optimization problem of urban traffic with pedestrianspsila noncompliance, a hybrid optimization algorithm is developed....
In urban traffic signal optimization, the length of vehicle queue, waiting for green signal, is regarded as a performance index (PI). However, pedestrians are reluctant to waiting for green signal without person specially assigned to manage pedestrians in developing city, such as Xi'an. To the signal optimization problem of domestic urban traffic with pedestrians' noncompliance, a hybrid optimization...
This paper studies service revenue management problem by combining resource allocation with pricing optimization. We begin a homogeneous and deterministic demand scenario, where the optimization can be deduced to a linear equation problem. Then we show how such property can be leveraged in stochastic and heterogeneous scenarios to reduce computational complexity. The efficiency of such algorithm is...
When ex-warehouse and in-warehouse tasks of materiel were deal with in the tobacco automated storage and retrieval system (AS/RS) of cigarette corporation at the same time, aisle stackers were adopted by dealing with ex-warehouse tasks combined with in-warehouse tasks commonly. To shorten the task operation time of stackers and to ensure the stabilization of shelf, in this paper the optimization model...
Optimizing the input covariance matrix of a multiple-antenna transmit system with partial channel-structure feedback is an important issue to fully exploit the channel capacity. Efficient design of the optimal input covariance matrix, however, remains unavailable although its eigenvector structure was clearly revealed in a recent publication. In this paper, we obtain an explicit derivative function...
The pulverizing process of a ball mill is rather complex. It is difficult to describe the pulverizing process of a ball mill with precise mathematics model for its complex characteristics. A fuzzy control method including the data process, characteristic parameter detection, operating mode recognition, fuzzy optimization control, Fuzzy PID controller was put forward in this paper aimed to design a...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.