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This paper proposes a novel integer programming model to solve optimal problem of yard crane scheduling with minimal energy consumption at container terminals from the low carbon perspective. The traditional approaches for optimal crane scheduling focus only on crane moving distance without considering the total energy consumption of yard cranes. In this paper, an optimal model is built with consideration...
Despite the remarkable progress in recent years, detecting objects in a new context remains a challenging task. Detectors learned from a public dataset can only work with a fixed list of categories, while training from scratch usually requires a large amount of training data with detailed annotations. This work aims to explore a novel approach – learning object detectors from documentary...
New item or topic profiling and recommendation are useful yet challenging, especially in face of a “cold-start” situation with sparse user-item ratings for the new arrivals. In this paper, a method of acquiring review opinions of the “sentinel” users on the cold-start items is proposed to elicit those items’ latent profiles, and thus both user-specific ratings and future popularity of the items can...
Industrial users are big energy consumers, and most of them install monitoring devices on all transmission lines and load branches of the network during energy consumption monitoring. As a result, there is no direction in energy consumption monitoring, and there is a lot of the phenomenon of repeated monitoring which results in a great waste of resources. This paper presents the concept of fluctuation...
In cognitive radio networks, when the primary user (PU) who has a minimum transmission rate requirement is experiencing a bad channel condition, it can resort to the cooperation with the secondary users (SUs) in exchange for a fraction of its licensed spectrum. However, due to the selfish nature, the SUs may not act as cooperatively as to meet the PU's Quality of Service (QoS) requirement. On the...
Our measurements on production data center traffic together with recently reported results suggest that data center networks suffer from long-lived congestion caused by core network over subscription and unbalanced workload placement. In contrast to traditional traffic engineering approaches that optimize flow routing, in this paper, we explore the opportunity to address the continuous congestion...
Multidisciplinary design optimization (MDO) is a methodology for the design of complex engineering systems and subsystems that coherently exploits the synergism of mutually interacting phenomena. Because of the complex design space of the large-scale system MDO design problem and the serious conflicts between the different design objectives, there is the necessary to seek an objective, flexible, effective...
Dynamic Binary Translation (DBT) is widely used, but it suffers from substantial overhead. Several methods are taken to improve its performance, such as linking/chaining, building super block according to profiling and/or tracing. Reorganizing code layout of software cache can also improve performance on the ground that the execution stream will be more approximate to its control flow. Once the target...
Hot trace building plays an important role in enhancing the performance of dynamic binary translators, since in most cases 10% of code takes 90% of execution time of the whole program. Hot traces can promote the code position to make better the locality of the code, therefore programs can achieve a better performance. Thus how to build qualified and long hot traces is the key point. Considering the...
This paper discusses on the fair resource allocation in OFDMA two-hop cooperative relaying cellular networks which consist of a single base station (BS), dedicated fixed relay stations (RSs) and user stations (USs). By assuming the relay strategy employed on each subcarrier is adaptively selected among direct transmission, amplify-and-forward (AF) and decode-and-forward (DF) according to different...
In traditional dynamic binary translation (DBT) systems, poor profile information at runtime limits the manner of optimization. Combining dynamic binary translation with static analysis brings an opportunity to improve the runtime performance. Once the source image has been executed, the profile information and target code will be saved, which are available at next runs. Moreover, optimizations will...
On the basis of describing the course optimization model of the island goods transport, it proposes the improved immune genetic algorithm. We apply a new touring route encoding method and heuristic mutation operator based on the triangle shown, niche technique to improve the immune algorithm. The experimental result indicates that the immune genetic algorithm performance has obvious advancement after...
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