Summary Mechanical specific energy (MSE) is normally used to evaluate the rock-cutting efficiency of shaped polycrystalline diamond compact (PDC) cutters. The lower MSE, higher rock-breaking cutters and bits will have, by default, it considered that a rate penetration (ROP) can be obtained while drilling. To validate this conclusion, also investigate relationship between single cutter ROP performance drill bit, single-cutter test bit were conducted using five types results show MSE an...

In contrast to natural objects, aerial targets are usually non-axis aligned with arbitrary orientations. However, mainstream weakly supervised object detection (WSOD) methods can only predict horizontal bounding boxes (HBBs) from existing proposals generated by offline algorithms. To oriented (OBBs) for while testing images end-to-end without proposals, WSODet is designed leveraging on layerwise relevance propagation (LRP) and point set representation (RepPoints). be specific, based the WSOD...

Clustering longitudinal features is a common goal in medical studies to identify distinct disease developmental trajectories. Compared clustering single feature, integrating multiple allows additional information be incorporated into the process, which may reveal co‐existing patterns and generate deeper biological insight. Despite its increasing importance popularity, there limited practical guidance for implementing cluster analysis approaches evaluating their comparative performance...

Traditional information retrieval systems lack a uniform semantic description for information, so it is hard users to find more relevant and realize the share in resource. There are many challenging tasks retrieval, such as how make managed resource have machine understandable meaning what really need searching by means of domain knowledge. A framework intelligent retrieve based on Web proposed this paper through researching Semantic analyzing feature traditional retrievals Web. The design...

Vaccinium uliginosum (Ericaceae) is an important wild berry having high economic value. The white-fruited V. variety found in the lacks anthocyanin and bears silvery white fruits. Hence, it a good resource for investigating mechanism of fruit color development. This study aimed to verify differences expression levels some structural genes transcription factors affecting biosynthesis pathway by conducting high-throughput transcriptome sequencing real-time PCR analysis using ripening fruits...

Unsupervised domain adaptation aims at transferring knowledge from the labeled source to unlabeled target domain. Previous adversarial methods mostly adopt discriminator with binary or $K$-dimensional output perform marginal conditional alignment independently. Recent experiments have shown that when is provided information in both domains and label domain, it able preserve complex multimodal high semantic domains. Following this idea, we a $2K$-dimensional domain-level class-level...

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Synthetic Aperture Radar (SAR) has received more attention due to its complementary superiority on capturing significant information in the remote sensing area. However, for an Aerial View Object Classification (AVOC) task, SAR images still suffer from long-tailed distribution of aerial view objects. This disparity limit performance classification methods, especially data-sensitive deep learning models. In this paper, we propose a two-stage shake-shake network tackle problem. Specifically,...

Web log data analysis is important in intrusion detection. Various machine learning techniques have been applied. However, compared to abundant researches on learning, ways extract features from are still under research. In this paper, we present an effective feature extraction approach by leveraging Byte Pair Encoding (BPE) and Term Frequency-Inverse Document Frequency (TF-IDF). We applied various downstream algorithms proved its usefulness.

Transfer learning has been demonstrated to be successful and essential in diverse applications, which transfers knowledge from related but different source domains the target domain. Online transfer learning(OTL) is a more challenging problem where data arrive an online manner. Most OTL methods combine classifier directly by assigning weight each classifier, adjust weights constantly. However, these pay little attention reducing distribution discrepancy between domains. In this paper, we...

Weakly supervised object detection (WSOD) is an increasingly important task in remote sensing images. However, mainstream WSOD methods often rely on low-quality proposals due to the complex backgrounds of Moreover, applying strong data augmentations directly can introduce significant noise, which hinder training procedures that only image-level ground truth labels. To address these issues, we propose a dynamic informative proposal-based iterative procedure. Specifically, implement...

The speed of the surface mount equipment is a key factor which influences efficiency process. This paper proposes new optimization method based on Max-Min Ant System, suitable for mount. In method, problem finding optimal route converted to that solving traveling salesman problem, and corresponding mathematical model established. upper lower bound trail information in System have been analyzed restricted reasonably. New factors are also added equation path selection probability improve its...

Abstract The existing automated lifting robot technology focuses merely on motion control and ignores the surrounding environment. In practice, obstacles inevitably exist in movement path of robot, which affects construction safety. Furthermore, due to underactuated characteristics load can be difficult when it swings violently, undoubtedly poses huge challenges obstacle avoidance trajectory planning controller design. this paper, an its tracking with antiswing errors constraint are...

Based on the Ant Colony Algorithm, a new algorithm is proposed for solving route optimization of surface mount. According to actual condition, state transition strategy choosing next electronic component provided reduce numbers changing suction mouths. Considering features informational hormones updating integrally, presented update hormones, which suit condition Without so many constraints as old and deviation from working facts because simplifying problems, it has advantages. Theoretical...

Ship detection in remote sensing images is important for maritime surveillance. With the rapid development of earth observation technology, high-resolution imaging satellites can provide more observational information. In face massive data, object-level annotation requires a lot time and manpower. Weakly supervised object trained using only image-level annotations, thus reducing requirement annotations. However, there are still some problems weakly ships images, because complex, dense...

In epidemiological and clinical studies, identifying patients' phenotypes based on longitudinal profiles is critical to understanding the disease's developmental patterns. The current study was motivated by data from a Canadian birth cohort study, CHILD Cohort Study. Our goal use multiple respiratory traits cluster participants into subgroups with similar in order identify clinically relevant disease phenotypes. To appropriately account for distinct structures types of these markers, we...

Web server log files registered browsing patterns of users, in order to extract users with similar accessing patterns, providing personal service for them. In this paper, a new method analysis on web is proposed. A User-URL matrix created and weighted introduced, additionally, multimarker propagation algorithm based cluster The experiments show that has high-performance reliability pages mining.