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In this paper, we study the complexity of an autonomous vehicle sequencing problem under the framework of Autonomous Intersection Management (AIM). Since the objective is to schedule all approaching vehicles to pass this intersection in the shortest duration, we model the general version of this problem as a single machine scheduling problem in which jobs can be processed in parallel. Release date...
In this paper, a new two levels propagated neighborhoods based collaborative filtering method (PNCF) is proposed for developing effective and efficient recommendation system. Traditional collaborative filtering (CF) algorithms focus on construct k-nearest neighborhood for each item/user from user-item purchase/rating matrix, such as item-based k-nearest-neighbor collaborative filtering method (itemKNN)...
GPS (Global Positioning System) always has the problem of positioning latency which make it can't output the real-time position. Different GPS may have different latencies. The positioning latency of consumer-grade GPS often used in vehicles is especially relatively larger. In this paper, we present a method to calculate the vehicle real-time position overcoming the GPS positioning latency with low-cost...
In this paper, we consider the problem of designing traffic network signal control systems for congested urban road networks, aiming to relieve traffic congestion and improve the utilization of the existing traffic infrastructures. A Model Predictive Control (MPC) method is introduced which is based on a microscopic store-and-forward modeling (SFM) paradigm. Moreover, a preliminary simulation of urban...
This paper proposes the standardized testing methodologies for embedded pavement status sensors based on the road weather meteorological environment monitoring and service requirements. A large number of possible testing procedures were developed for measuring pavement surface temperature, sensor moisture state and the water film thickness. In a year and a half of the time, three factory embedded...
The facilitating impact of supply chain collaboration on enterprise eco-innovation has been acknowledged both in practice and academia. This study aims to explore the impact of supply chain collaboration through devising a conceptualized model and using questionnaire data to test the hypothetical models. The results reveals that both supply chain collaboration and collaborative innovation capability...
The main purpose of this paper is to realize adaptive signal denoising simulation of some kind of feedback neural network models. The bidirectional associative memory (BAM) neural network, the discrete Hopfield feedback network (DHN), and the counterpropagation network (CPN) are discussed under the conditions of outside and within the maximal memory capacity. The experimental simulations of the three...
Budget optimization is an important issue faced by advertisers in search auctions, and has significant impact on the design of various advertising strategies. Given a limited budget on a search market during a certain period, an advertiser has to distribute her budget to a series of sequential temporal slots (i.e., days, weeks, or months), during which advertisers must avoid the budget being used...
In 2013, as a platform with the 22 largest postal companies in the world, the International Post Corporation has launched the e-Commerce Interconnected Programme (CIP) to setup a new cross-border electronic commerce infrastructure. The CIP aims to help international postal operators to provide more reliable services and operations with respect to more accurately and in-time tracking and tracing postal...
Standby power consumption often takes place unnoticeably, the negligence of which often leads to intangible energy waste. Although there have been several studies related to this issue, no method has been developed to estimate the amount of power consumed this way by analyzing users' power consumption data. Therefore, this paper, based on findings of previous researches and users' power consumption...
Effective and practical parking space detection significantly contribute to parking information management in the field of intelligent transportation system. Therefore, efforts are needed to develop devices to detect whether parking spaces occupied accurately and transmit data collected to parking database in real-time. In this study, devices composed of master and slave nodes based on controller...
In order to study the influence of abilities of suppliers and different dimensions of reputation on civil aircraft brand capability, influence and performance, we took the domestic commercial enterprises as investigation object and conceptual model is established. Then, questionnaire survey was conducted to the civil aircraft manufacturing enterprise, using the statistical software SPSS13.0 and Lisrel...
Based on the closed-loop supply chain system of an automobile manufacturer and a retailer, the differential pricing model and revenue sharing contract model of the participating enterprises in vehicle closed-loop supply chain are analyzed. The double marginalization is found in the decentralized decision mode through the comparative analysis of differential pricing in centralized and decentralized...
Traffic control and guidance is a key issue in intelligent transportation system, and it is based on accurate real time traffic state forecasting. CTM (Cell Transmission Model) can describe traffic flow behavior such as wave and queue. However, original CTM theory has difficulties in describing urban road traffic networks. To address this problem, a novel Cell-Link Model (CLM) is developed in this...
An accurate model with low on-line computational complexity is often needed for model based control methods such as MPC. The macroscopic S model [1] provides good accuracy in prediction but the nonlinearity makes it with low efficiency when solving optimization in MPC. In this paper, a further simplified prediction model with little loss in accuracy is developed based on the S model. The model gives...
This paper presents an intelligent, stable, low cost farming control system to solve automatic farming issues. It promotes the development of intelligent farming by detecting animal feed and animal waste and applying different treatments in different conditions. RFID, Auto-transport units, temperature and humidity detectors are added to extend the system's functions.
This paper presents algorithms to detect animal feed and animal waste for farming management. For the animal feed detection, the algorithms use color and Canny's edge feature to detect animal feed and obtain the animal feed detection area by morphological processes. For the animal waste detection, the contaminated area is calculated by using median filter together with Hough's straight line transformation.
Arterial coordination is a common method in urban traffic control. Traditional arterial coordination methods are usually off-line control methods based on mixed-integer linear program. These methods cannot adapt to changes of traffic flow, for instance, although there are very few cars in a branch road, timing plan will not adjust. Thus, we proposed a semi-actuated arterial coordination method which...
As we all know, innovation is an inexhaustible driving force for social progress and technological development. For higher education carrying train qualified person to meet the social demand, an important task it must face is innovation education. This paper has determined the capacity of research and innovation through 15 universities investigation, they are learning ability, practical ability and...
In this study, we analyze a two-echelon supply chain, consisting of one risk neutral retailer as Stackelberg leader and one risk averse manufacture as follower. The retailer has two ordering opportunities and the manufacture has to pay stockout penalty in second order. Conditional Value-at-Risk (CVaR) is used to measure the manufacturer's degree of risk aversion. The research shows how the risk attitudes...
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