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Journal articles on the topic 'Split object'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

CHEN, SHU-CHING, MEI-LING SHYU, CHENGCUI ZHANG, and R. L. KASHYAP. "IDENTIFYING OVERLAPPED OBJECTS FOR VIDEO INDEXING AND MODELING IN MULTIMEDIA DATABASE SYSTEMS." International Journal on Artificial Intelligence Tools 10, no. 04 (December 2001): 715–34. http://dx.doi.org/10.1142/s0218213001000738.

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The identification of the overlapped objects is a great challenge in object tracking and video data indexing. For this purpose, a backtrack-chain-updation split algorithm is proposed to assist an unsupervised video segmentation method called the "simultaneous partition and class parameter estimation" (SPCPE) algorithm to identify the overlapped objects in the video sequence. The backtrack-chain-updation split algorithm can identify the split segment (object) and use the information in the current frame to update the previous frames in a backtrack-chain manner. The split algorithm provides more accurate temporal and spatial information of the semantic objects so that the semantic objects can be indexed and modeled by multimedia input strings and the multimedia augmented transition network (MATN) model. The MATN model is based on the ATN model that has been used in artificial intelligence (AI) areas for natural language understanding systems, and its inputs are modeled by the multimedia input strings. In this paper, we will show that the SPCPE algorithm together with the backtrack-chain-updation split algorithm can significantly enhance the efficiency of spatio-temporal video indexing by improving the accuracy of multimedia database queries related to semantic objects.

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Lee, Sujin, Sang-hyo Park, and Dongsan Jun. "Object-Cooperated Ternary Tree Partitioning Decision Method for Versatile Video Coding." Sensors 22, no. 17 (August 23, 2022): 6328. http://dx.doi.org/10.3390/s22176328.

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In this paper, we propose an object-cooperated decision method for efficient ternary tree (TT) partitioning that reduces the encoding complexity of versatile video coding (VVC). In most previous studies, the VVC complexity was reduced using decision schemes based on the encoding context, which do not apply object detecion models. We assume that high-level objects are important for deciding whether complex TT partitioning is required because they can provide hints on the characteristics of a video. Herein, we apply an object detection model that discovers and extracts the high-level object features—the number and ratio of objects from frames in a video sequence. Using the extracted features, we propose machine learning (ML)-based classifiers for each TT-split direction to efficiently reduce the encoding complexity of VVC and decide whether the TT-split process can be skipped in the vertical or horizontal direction. The TT-split decision of classifiers is formulated as a binary classification problem. Experimental results show that the proposed method more effectively decreases the encoding complexity of VVC than a state-of-the-art model based on ML.

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3

SeyoungPark. "English Double Object Constructions and Split Projection." Studies in English Language & Literature 40, no. 4 (November 2014): 281–98. http://dx.doi.org/10.21559/aellk.2014.40.4.014.

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Faruquzzaman, A. B. M., Nafize Rabbani Paiker, Jahidul Arafat, M. Ameer Ali, and Golam Sorwar. "Robust Object Segmentation using Split-and-Merge." International Journal of Signal and Imaging Systems Engineering 2, no. 1/2 (2009): 70. http://dx.doi.org/10.1504/ijsise.2009.029332.

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Jeong-Shik Lee. "Split Object Sharing in Serial Verb Constructions." Korean Journal of Linguistics 35, no. 4 (December 2010): 1053–75. http://dx.doi.org/10.18855/lisoko.2010.35.4.010.

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6

Herbut, Fedor. "Object-subject split and superselection partial states." International Journal of Theoretical Physics 32, no. 7 (July 1993): 1173–86. http://dx.doi.org/10.1007/bf00671797.

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7

Wang, Hongwei, Dahua Li, Yu Song, Qiang Gao, Zhaoyang Wang, and Chunping Liu. "Single-Shot Object Detection with Split and Combine Blocks." Applied Sciences 10, no. 18 (September 13, 2020): 6382. http://dx.doi.org/10.3390/app10186382.

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Feature fusion is widely used in various neural network-based visual recognition tasks, such as object detection, to enhance the quality of feature representation. It is common practice for both the one-stage object detectors and the two-stage object detectors to implement feature fusion in feature pyramid networks (FPN) to enhance the capacity to detect objects of different scales. In this work, we propose a novel and efficient feature fusion unit, which is referred to as the Split and Combine (SC) Block, that splits the input feature maps into several parts, then processes these sub-feature maps with different emphasis, and finally gradually concatenates the outputs one-by-one. The SC block implicitly encourages the network to focus on features that are more important to the task, thus improving network efficiency and reducing inference computations. In order to prove our analysis and conclusions, a backbone network and an FPN employing this technique are assembled into a one-stage detector and evaluated on the MS COCO dataset. With the newly introduced SC block and other novel training tricks, our detector achieves a good speed-accuracy trade-off on COCO test-dev set, with 37.1% AP (average precision) at 51 FPS and 38.9% AP at 40 FPS.

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8

Florell, John L. "The Subject-Object Split: An Advocacy for Unity." Journal of Pastoral Care 39, no. 1 (March 1985): 1–2. http://dx.doi.org/10.1177/002234098503900101.

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9

Petolicchio, Marco. "Some notes on split ergativity in Hittite." Linguistic Frontiers 2, no. 1 (June 1, 2019): 16–22. http://dx.doi.org/10.2478/lf-2018-0014.

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AbstractThe Hittite grammar is characterized by a morphosyntactic split that affects the behaviour of the inflectional classes of Noun phrases (DPs). While a singular neuter transitive subject is marked by /-anza/suffix, commons DPs end with an /-š/mark. In addition, intransitive neuter subjects and neuter objects pattern in the same way, marked by /-ø/, while in commons the object role is marked by an /-n/ ending, which distinguishes it from the subjects. The aim of this paper is to investigate over a possible definition of split ergativity in the Hittite grammar.

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10

ESHRAGHI, HOSSEIN. "EXISTENCE OF ALMOST SPLIT SEQUENCES VIA REGULAR SEQUENCES." Bulletin of the Australian Mathematical Society 88, no. 2 (March 18, 2013): 218–31. http://dx.doi.org/10.1017/s0004972713000099.

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AbstractLet $(R, \mathfrak{m})$ be a Cohen–Macaulay complete local ring. We will apply an inductive argument to show that for every nonprojective locally projective maximal Cohen–Macaulay object $ \mathcal{X} $ of the morphism category of $R$ with local endomorphism ring, there exists an almost split sequence ending in $ \mathcal{X} $. Regular sequences are exploited to reduce the Krull dimension of $R$ on which the inductive argument is established. Moreover, the Auslander–Reiten translate of certain objects is described.

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11

Toma, Shivan. "Object and Subject Case Marking in Behdini." European Scientific Journal, ESJ 14, no. 5 (February 28, 2018): 205. http://dx.doi.org/10.19044/esj.2018.v14n5p205.

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Behdini, a variety of Kurdish, is known to be a morphologically rich language demonstrating both subject and object case marking in an unusual typological distribution. This paper reviews differential object marking (DOM) and differential subject marking (DSM) exemplified by a number of allocated languages, and then DOM and DSM are tested whether they apply on Behdini. This study is designed to answer whether Behdini shows DOM or DSM or whether the way Behdini argument structures are encoded in split ergativity completely governs the case marking of objects and subjects in Behdini. Therefore, ergativity in Behdini is tackled in this study. Data to be applied on Behdini in the process of analysing DOM and DSM are inspired from various studies, and my own linguistic knowledge of Behdini is used for the analysis. The results of the study show that the way split ergativity operates in Behdini entirely accounts for object and subject case marking, concluding that Beddini does not demonstrate DOM and DSM.

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Cacchione, Trix, and Federica Amici. "Cohesion as a Principle for Perceiving Objecthood." Swiss Journal of Psychology 74, no. 4 (October 2015): 217–28. http://dx.doi.org/10.1024/1421-0185/a000164.

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Abstract. Previous research found that cohesion manipulations (e.g., splitting an object into two parts) may have deleterious effects on infants’ object representation. The present study investigated whether the cohesion principle is relevant only when assessing the continuity of inanimate objects, or whether it is equally fundamental for the perception and representation of animate agents. In two experiments, we assessed 8-month-old infants’ tracking behavior in events in which an agent (an animated snail) was either split in half, fused together, or simply changed its shape. Infants managed to individuate fused snails and snails that had changed their shape, but failed to track split snails, even in a perception-based paradigm. This suggests that the effects of cohesion manipulation apply to animate agents as well as inanimate objects. Moreover, these results suggest that infants’ inability to track split snails is not a consequence of a violation of core principles, but rather a consequence of the increased processing demands that arise when they are tracking multiple entities moving in different directions.

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Schüler, Thorsten. "An Integrated Object-Oriented Network – and Modal Split-Model." IFAC Proceedings Volumes 33, no. 9 (June 2000): 215–20. http://dx.doi.org/10.1016/s1474-6670(17)38149-1.

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14

Taylor, Ann, and Susan Pintzuk. "Split coordination in English." Diachronic Treebanks 35, no. 3 (November 5, 2018): 310–37. http://dx.doi.org/10.1075/dia.00005.tay.

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Abstract In this article we provide a practical demonstration of how syntactically annotated corpora (treebanks), particularly the English Historical Parsed Corpora Series, can be used to investigate research questions with a diachronic depth and synchronic breadth that would not otherwise be possible. The phenomenon under investigation is split coordination, in which two parts of a conjoined constituent appear separated in the clause (e.g., and this is where my aunt lives and my uncle ). It affects every type of coordinated constituent (subject/object DPs, predicate and attributive ADJPs, ADVPs, PPs and DP objects of P) in Old English (OE); and it, or a superficially similar construction, occurs continuously throughout the attested period from approximately 800 to the present day. Despite its synchronic range and diachronic persistence, split coordination has received surprisingly little attention in the diachronic literature, with the exception of Perez Lorido’s (2009) limited study of split subjects in eight OE texts. Its modern counterpart is most frequently analysed as Bare Argument Ellipsis (BAE). Although the OE and Present-Day English constructions appear superficially similar, we show that not all of the OE data is amenable to a BAE analysis. We bring to bear different types of evidence (structural, discourse/performance effects, rate of change, etc.) to argue that split coordination in fact represents two different constructions, one of which remains stable over time while the other is lost in the post-Middle English period.

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NISHIDA, HIROBUMI, and SHUNJI MORI. "A MODEL-BASED SPLIT-AND-MERGE METHOD FOR CHARACTER STRING RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 08, no. 05 (October 1994): 1205–22. http://dx.doi.org/10.1142/s0218001494000607.

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Recognition of handwritten character strings is a challenging problem, because we need to cope with variations of shapes and touching/breaking of characters at the same time. A natural approach to recognizing such complex objects is as follows: The object is decomposed into segments, and meaningful partial shapes (shapes which are recognized as some characters) are constructed by merging segments locally. Then, a globally consistent interpretation of the object is determined from the combination of partial shapes. This approach can be referred to as a model-based split-and-merge method. Based on this idea, we present an algorithm for recognition and segmentation of character strings. We give systematic performance statistics by experiments using handwritten numerals. This algorithm can be applied to character strings composed of any number of characters and any type of touching or breaking, whether the number of constituent characters is known or unknown.

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Fernandez-Duque, D., and S. E. Black. "Object localization without object recognition in the split brain: A possible role for spatial attention." Journal of Vision 2, no. 7 (March 15, 2010): 12. http://dx.doi.org/10.1167/2.7.12.

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17

Egly, Robert, Robert Rafal, Jon Driver, and Yves Starrveveld. "Covert Orienting in the Split Brain Reveals Hemispheric Specialization for Object-Based Attention." Psychological Science 5, no. 6 (November 1994): 380–83. http://dx.doi.org/10.1111/j.1467-9280.1994.tb00289.x.

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Theories in cognitive science have debated whether visual selective attention is a space-based or object-based process To investigate this issue, we applied a new experimental paradigm that permits the simultaneous measurement of both space-based and object-based attention to a split-brain patient with disconnected cerebral hemispheres The data demonstrate both space-based and object-based components to the allocation of attention, and reveal that the two processes have different neural substrates These findings are related to previous research on split-brain and unilateral parietal patients

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18

Jeon, Hyun-Jun, Ju-Hyun Park, Hee-Suk Park, and Woo-Hyun Cho. "An Improved Split Algorithm for Indexing of Moving Object Trajectories." KIPS Transactions:PartD 16D, no. 2 (April 30, 2009): 161–68. http://dx.doi.org/10.3745/kipstd.2009.16-d.2.161.

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19

Liu, Chunsheng, Faliang Chang, and Chengyun Liu. "Cascaded split‐level colour Haar‐like features for object detection." Electronics Letters 51, no. 25 (December 2015): 2106–7. http://dx.doi.org/10.1049/el.2015.2092.

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20

Lachaize, Marie, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Aude Maitrot, and Roger Reynaud. "Evidential split-and-merge: Application to object-based image analysis." International Journal of Approximate Reasoning 103 (December 2018): 303–19. http://dx.doi.org/10.1016/j.ijar.2018.10.008.

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21

Mühlbacher-Karrer, Stephan, Juliana Padilha Leitzke, Lisa-Marie Faller, and Hubert Zangl. "Non-iterative object detection methods in electrical tomography for robotic applications." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 5 (September 4, 2017): 1411–20. http://dx.doi.org/10.1108/compel-02-2017-0092.

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Purpose This paper aims to investigate the usability of the non-iterative monotonicity approach for electrical capacitance tomography (ECT)-based object detection. This is of particular importance with respect to object detection in robotic applications. Design/methodology/approach With respect to the detection problem, the authors propose a precomputed threshold value for the exclusion test to speed up the algorithm. Furthermore, they show that the use of an inhomogeneous split-up strategy of the region of interest (ROI) improves the performance of the object detection. Findings The proposed split-up strategy enables to use the monotonicity approach for robotic applications, where the spatial placement of the electrodes is constrained to a planar geometry. Additionally, owing to the improvements in the exclusion tests, the selection of subregions in the ROI allows for avoiding self-detection. Furthermore, the computational costs of the algorithm are reduced owing to the use of a predefined threshold, while the detection capabilities are not significantly influenced. Originality/value The presented simulation results show that the adapted split-up strategies for the ROI improve significantly the detection performance in comparison to the traditional ROI split-up strategy. Thus, the monotonicity approach becomes applicable for ECT-based object detection for applications, where only a reduced number of electrodes with constrained spatial placement can be used, such as in robotics.

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Zhuo, Shufang, and Yanwei Huang. "CHMM Object Detection Based on Polygon Contour Features by PSM." Sensors 22, no. 17 (August 30, 2022): 6556. http://dx.doi.org/10.3390/s22176556.

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Since the conventional split–merge algorithm is sensitive to the object scale variance and splitting starting point, a piecewise split–merge polygon-approximation method is proposed to extract the object contour features. Specifically, the contour corner is used as the starting point for the contour piecewise approximation to reduce the sensitivity of the contour segment for the starting point; then, the split–merge algorithm is used to implement the polygon approximation for each contour segment. Both the distance ratio and the arc length ratio instead of the distance error are used as the iterative stop condition to improve the robustness to the object scale variance. Both the angle and length as two features describe the shape of the contour polygon; they have a strong coupling relationship since they affect each other along the contour order relationship. To improve the description correction of the contour, these two features are combined to construct a Coupled Hidden Markov Model to detect the object by calculating the probability of the contour feature. The proposed algorithm is validated on ETHZ Shape Classes and INRIA Horses standard datasets. Compared with other contour-based object-detection algorithms, the proposed algorithm reduces the feature number and improves the object-detection rate.

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Srilatha, K., B. T. P. Madhav, J. Krishna, Y. V. N. R. Swamy Banothu, and Anil Badisa. "Design of electromagnetic cloak with sequentially connected rectangular split ring resonators for S-band applications." AIMS Electronics and Electrical Engineering 6, no. 4 (2022): 385–96. http://dx.doi.org/10.3934/electreng.2022023.

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<abstract> <p>An electromagnetic (EM) invisible cloak is designed and analyzed with serially interconnected split ring resonators (SRRs). The cloak consists of an array of a network of split ring resonators which operates at a 3 GHz resonating frequency. The split ring resonators are connected with transmission line and are wrapped around the cylindrical object. Cloak coupled with EM waves gets transferred around the cylindrical object and received to the other side of transmission. Scattering cross section (SCS) is analyzed for both cases, which results in the effect of resonance. The total scattering cross section of the cloaked object is reduced by using SRRs. The simulated and measured results are in great agreement with each other. The transmission-line-connected SRR cloak is useful for S-band applications specifically at 3 GHz resonance.</p> </abstract>

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24

Escandell-Vidal, Victoria. "Differential object marking and topicality." Studies in Language 33, no. 4 (October 22, 2009): 832–84. http://dx.doi.org/10.1075/sl.33.4.02esc.

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The aim of this paper is to examine Differential Object Marking (DOM) in Balearic Catalan. While definiteness and animacy can explain the distribution of DOM in other varieties of Catalan, in Balearic, the split between marked and non-marked objects is not dependent on inherent or referential properties of the object noun phrases, but determined by topicality. A preposition is consistently used to mark a subset of topical objects, namely those occurring in clitic left- and right-dislocation structures, which correspond to two kinds of hearer-known topics: shifting topics and continuing topics. The preposition does not occur, however, with hanging topics, which introduce discourse-new topical entities. In this way, a correlation can be found between formal properties and well-motivated discourse functions that explains the distribution of DOM in Balearic. Similar patterns can be found in other Romance varieties as well, thus suggesting that topicality is relevant to account for both intra- and interlinguistic variation in DOM.

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Mai, Nga Thúy. "HEURISTIC ALGORITHM FOR FRAGMENTATION AND ALLOCATION IN DISTRIBUTED OBJECT ORIENTED DATABASE." Journal of Computer Science and Cybernetics 32, no. 1 (April 8, 2016): 47–60. http://dx.doi.org/10.15625/1813-9663/32/1/5772.

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Class fragmentation and allocation is an important technique to improve the performance of a distributed object oriented database system. The class fragmentation is to split a class into smaller pieces in distributed databases aims to reduce the access to unnecessary data, the allocation is to locate fragmented classes into the sites in the connected network properly to reduce the cost of data transmission. Classes in object databases include attributes describing the characteristics of the object, methods describing the behavior, and relationships with objects with other classes, including relations inheritance. With such characteristics, class fragmentation and allocation in the distributed object oriented database system is more complex than fragmentation technique and design of relational databases. Fragmentation techniques applied in the design of distributed object-oriented database today often do not use cost between the sites, fragments are allocated to the site after getting a fragmentation method of data objects. This paper proposes an algorithm of fragmentation and allocation simultaneously, including the cost of data communication between the sites used for fragmentation to reduce communication costs when processing and querying distributed data.

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Bassett, J., and G. Walker. "A Split Image Vision Sensor." Journal of Engineering for Industry 117, no. 1 (February 1, 1995): 94–101. http://dx.doi.org/10.1115/1.2803284.

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A vision sensor has been developed that uses only two lenses, a split prism, and a detector to acquire an image. This system uses the split prism to create a split image such that the displacement of the image is proportional to its range from the sensor. Prototype sensors have been examined both theoretically and experimentally, and have been found to measure object ranges with less than ±2 percent error. Acquisition of a single-point depth measurement is sufficiently fast for real-time use, and the optical components needed to build the sensor are inexpensive. The effect that each optical component has on the performance of the sensor is also discussed, and an optimal system design procedure is developed.

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Pakhmutova, N. "Differential object marking in Ibero-Romance languages: Explanatory models in domestic and Russian educational literature." Rhema, no. 2, 2019 (2019): 61–76. http://dx.doi.org/10.31862/2500-2953-2019-2-61-76.

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Differential object marking / dom is the term for the phenomenon of distinguishing two classes of direct objects, one bearing a special marker, while the other lacking it. In modern linguistics, the marker licensing is partially or fully attributed to the features of a direct object: Animacy/Inanimacy and referential status. Russian didactic literature generally contains a reduced explanatory model of Spanish dom, based on the grammar of the Royal Spanish Academy. For Catalan, the explanatory model is complicated by the usus/norm split, the latter reducing the phenomenon’s scope. The paper focuses on the improvement of dom explanatory models for Spanish and Catalan.

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Tutter, Adele. "Medication as Object." Journal of the American Psychoanalytic Association 54, no. 3 (September 2006): 781–804. http://dx.doi.org/10.1177/00030651060540031401.

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People experience and treat medication as though it were a person: in other words, as an object. Among the many symbolic meanings attributed to medication, this sort of personification, or object representation, is a meaning that medication is uniquely positioned to contain and convey: imbued with intentionality and influence, medication moves beyond the sphere of static, iconic representation and enters the changeable, dynamic object world of action, aim, and agency. Unlike more generic or stereotypic meanings, object representations attributed to medication may reflect the patient's specific dynamics and object relations. These representations are many and mutable, and take on shifting and overlapping forms that evolve with the analytic process. Medication may represent a third person within the framework of an analytic treatment, expanding the analytic dyad into a triad and offering new transference paradigms to explore. The defensive displacement of transferential qualities and attitudes, or split-off parts thereof, from the analyst onto medication can serve as a powerful resistance to the awareness of the transference to the analyst. Clinical examples illustrate the utility and importance of the analysis of medication as object, for both patient and analyst, with particular attention to the transference.

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Park, Ju-Hyun, and Woo-Hyun Cho. "A Study on Efficient Split Algorithms for Single Moving Object Trajectory." Journal of the Korean Institute of Information and Communication Engineering 15, no. 10 (October 31, 2011): 2188–94. http://dx.doi.org/10.6109/jkiice.2011.15.10.2188.

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Chung, Eui Yoon. "Hierarchical spatiotemporal moving object segmentation based on a binary split algorithm." Optical Engineering 42, no. 1 (January 1, 2003): 245. http://dx.doi.org/10.1117/1.1523040.

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Ritchie, Kay L., Rachel L. Bannerman, David J. Turk, and Arash Sahraie. "Eye rivalry and object rivalry in the intact and split-brain." Vision Research 91 (October 2013): 102–7. http://dx.doi.org/10.1016/j.visres.2013.08.004.

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Jin, Xin, Ning Ning, Rui Han, Xiaodong Li, and Xiaokun Zhang. "Complex object relighting via split-then-composition by semantics and materials." Multimedia Tools and Applications 79, no. 33-34 (June 18, 2020): 24185–97. http://dx.doi.org/10.1007/s11042-020-09071-6.

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Herbut, Fedor. "Partial-state formalism and the object-subject split in quantum mechanics." International Journal of Theoretical Physics 32, no. 7 (July 1993): 1153–71. http://dx.doi.org/10.1007/bf00671796.

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Thota, Surekha, Ravi Prakash Reddy Induri, and Raghavendra Kune. "Split key management framework for Open Stack Swift object storage cloud." CSI Transactions on ICT 5, no. 4 (April 22, 2017): 397–406. http://dx.doi.org/10.1007/s40012-017-0166-8.

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Johansson, Anders S., J. Andrew Pruszynski, Benoni B. Edin, and Karl-Gunnar Westberg. "Biting intentions modulate digastric reflex responses to sudden unloading of the jaw." Journal of Neurophysiology 112, no. 5 (September 1, 2014): 1067–73. http://dx.doi.org/10.1152/jn.00133.2014.

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Reflex responses in jaw-opening muscles can be evoked when a brittle object cracks between the teeth and suddenly unloads the jaw. We hypothesized that this reflex response is flexible and, as such, is modulated according to the instructed goal of biting through an object. Study participants performed two different biting tasks when holding a peanut half stacked on a chocolate piece between their incisors. In one task, they were asked to split the peanut half only (single-split task), and in the other task, they were asked to split both the peanut and the chocolate in one action (double-split task). In both tasks, the peanut split evoked a jaw-opening muscle response, quantified from electromyogram (EMG) recordings of the digastric muscle in a window 20–60 ms following peanut split. Consistent with our hypothesis, we found that the jaw-opening muscle response in the single-split trials was about twice the size of the jaw-opening muscle response in the double-split trials. A linear model that predicted the jaw-opening muscle response on a single-trial basis indicated that task settings played a significant role in this modulation but also that the presplit digastric muscle activity contributed to the modulation. These findings demonstrate that, like reflex responses to mechanical perturbations in limb muscles, reflex responses in jaw muscles not only show gain-scaling but also are modulated by subject intent.

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ESHRAGHI, HOSSEIN. "THE AUSLANDER–REITEN TRANSLATION IN MORPHISM CATEGORIES." Journal of Algebra and Its Applications 13, no. 03 (October 31, 2013): 1350119. http://dx.doi.org/10.1142/s0219498813501193.

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Let Λ be an Artin algebra and [Formula: see text] be an object in [Formula: see text], the morphism category of Λ. We will describe the Auslander–Reiten translate of [Formula: see text], i.e. [Formula: see text], as an object in [Formula: see text]. It is shown that, even though there may not exist much information about the object [Formula: see text] in the general case, its kernel homomorphism, that is the inclusion Ker (f′) → M′, may be described in terms of some universal-type properties. When f is a monomorphism we will also study the homomorphism f′ and show that, under certain assumptions, f is minimal left almost split if and only if f′ is minimal right almost split.

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Liu, Quan, Ayeley Tchangani, François Pérès, and Vicente Gonzalez-Prida. "Object-oriented Bayesian network for complex system risk assessment." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232, no. 4 (August 2018): 340–51. http://dx.doi.org/10.1177/1748006x17753026.

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In this article, we present a novel approach of modelling risk management process for complex systems. To overcome difficulties of modelling dynamic large-scale systems, the main idea is to split it into various structural homogeneous units. The object-oriented paradigm is used to this end but, unlike previous works, the proposed methodology allows variation in terms of internal parameters throughout the objects. This novel approach based on Bayesian network techniques is referred to as extended object-oriented Bayesian network. The main contribution of this article consists in establishing algorithms and methods on how to build and run such models. This article is an extension of a communication presented at AMEST by mainly developing a more realistic case study along with other improvements.

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CHANG, CHIA-JUNG, JUN-WEI HSIEH, YUNG-SHENG CHEN, and WEN-FONG HU. "TRACKING MULTIPLE MOVING OBJECTS USING A LEVEL-SET METHOD." International Journal of Pattern Recognition and Artificial Intelligence 18, no. 02 (March 2004): 101–25. http://dx.doi.org/10.1142/s0218001404003071.

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This paper presents a novel approach to track multiple moving objects using the level-set method. The proposed method can track different objects no matter if they are rigid, nonrigid, merged, split, with shadows, or without shadows. At the first stage, the paper proposes an edge-based camera compensation technique for dealing with the problem of object tracking when the background is not static. Then, after camera compensation, different moving pixels can be easily extracted through a subtraction technique. Thus, a speed function with three ingredients, i.e. pixel motions, object variances and background variances, can be accordingly defined for guiding the process of object boundary detection. According to the defined speed function, different object boundaries can be efficiently detected and tracked by a curve evolution technique, i.e. the level-set-based method. Once desired objects have been extracted, in order to further understand the video content, this paper takes advantage of a relation table to identify and observe different behaviors of tracked objects. However, the above analysis sometimes fails due to the existence of shadows. To avoid this problem, this paper adopts a technique of Gaussian shadow modeling to remove all unwanted shadows. Experimental results show that the proposed method is much more robust and powerful than other traditional methods.

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Ekvall, Staffan, Danica Kragic, and Patric Jensfelt. "Object detection and mapping for service robot tasks." Robotica 25, no. 2 (March 2007): 175–87. http://dx.doi.org/10.1017/s0263574706003237.

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SUMMARYThe problem studied in this paper is a mobile robot that autonomously navigates in a domestic environment, builds a map as it moves along and localizes its position in it. In addition, the robot detects predefined objects, estimates their position in the environment and integrates this with the localization module to automatically put the objects in the generated map. Thus, we demonstrate one of the possible strategies for the integration of spatial and semantic knowledge in a service robot scenario where a simultaneous localization and mapping (SLAM) and object detection recognition system work in synergy to provide a richer representation of the environment than it would be possible with either of the methods alone. Most SLAM systems build maps that are only used for localizing the robot. Such maps are typically based on grids or different types of features such as point and lines. The novelty is the augmentation of this process with an object-recognition system that detects objects in the environment and puts them in the map generated by the SLAM system. The metric map is also split into topological entities corresponding to rooms. In this way, the user can command the robot to retrieve a certain object from a certain room. We present the results of map building and an extensive evaluation of the object detection algorithm performed in an indoor setting.

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Hsiao, Janet Hui-wen, Danke X. Shieh, and Garrison W. Cottrell. "Convergence of the Visual Field Split: Hemispheric Modeling of Face and Object Recognition." Journal of Cognitive Neuroscience 20, no. 12 (December 2008): 2298–307. http://dx.doi.org/10.1162/jocn.2008.20162.

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Anatomical evidence shows that our visual field is initially split along the vertical midline and contralaterally projected to different hemispheres. It remains unclear at which processing stage the split information converges. In the current study, we applied the Double Filtering by Frequency (DFF) theory (Ivry & Robertson, 1998) to modeling the visual field split; the theory assumes a right-hemisphere/low-frequency bias. We compared three cognitive architectures with different timings of convergence and examined their cognitive plausibility to account for the left-side bias effect in face perception observed in human data. We show that the early convergence model failed to show the left-side bias effect. The modeling, hence, suggests that the convergence may take place at an intermediate or late stage, at least after information has been extracted/encoded separately in the two hemispheres, a fact that is often overlooked in computational modeling of cognitive processes. Comparative anatomical data suggest that this separate encoding process that results in differential frequency biases in the two hemispheres may be engaged from V1 up to the level of area V3a and V4v, and converge at least after the lateral occipital region. The left-side bias effect in our model was also observed in Greeble recognition; the modeling, hence, also provides testable predictions about whether the left-side bias effect may also be observed in (expertise-level) object recognition.

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Schneider-Blum, Gertrud, and Birgit Hellwig. "Reference tracking in Tima and its interplay with split ergative marking." Studies in Language 42, no. 4 (December 31, 2018): 970–93. http://dx.doi.org/10.1075/sl.17030.sch.

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Abstract Tima, a Niger-Congo language of the Sudan, shows signs of split ergativity. If its constituent order deviates from the basic AVO order to OVA order, the postverbal agent is formally marked, unlike preverbal agents. A direct object, regardless of its position relative to the verb, is never marked. Research so far has shown that ergative constructions are triggered by certain participant constellations in discourse. In particular, when the speaker keeps a non-agentive participant, more specifically a direct object, as the centre of attention in sentence-initial position, a newly introduced agent occurs postverbally and receives ergative marking. In addition, AOV and OAV constructions are attested, both involving focus marking.

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Chen, Kun-lun, Chuan-wen Li, Guang Lu, Jia-quan Li, and Tong Zhang. "An Adaptive Parallel Method for Indexing Transportation Moving Objects." Complexity 2021 (February 22, 2021): 1–11. http://dx.doi.org/10.1155/2021/6645778.

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Transportation cyber-physical systems are constrained by spatiality and real-time because of their high level of heterogeneity. Therefore, applications like traffic control generally manage moving objects in a single-machine multithreaded manner, whereas suffering from frequent locking operations. To address this problem and improve the throughput of moving object databases, we propose a GPU-accelerated indexing method, based on a grid data structure, combined with quad-trees. We count object movements and decide whether a particular node should be split or be merged on the GPU. In this case, bottlenecked nodes can be translated to quad-tree without interfering with the CPU. Hence, waiting time of other threads caused by locking operations raised by object data updating can be reduced. The method is simple while more adaptive to scenarios where the distribution of moving objects is skewed. It also avoids shortcomings of existing methods with performance bottleneck on the hot area or spending plenty of calculation resources on structure balancing. Experiments suggest that our method shows higher throughput and lower response time than the existing indexing methods. The advantage is even more significant under the skewed distribution of moving objects.

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Qi, Guanqiu, Yuanchuan Zhang, Kunpeng Wang, Neal Mazur, Yang Liu, and Devanshi Malaviya. "Small Object Detection Method Based on Adaptive Spatial Parallel Convolution and Fast Multi-Scale Fusion." Remote Sensing 14, no. 2 (January 17, 2022): 420. http://dx.doi.org/10.3390/rs14020420.

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As one type of object detection, small object detection has been widely used in daily-life-related applications with many real-time requirements, such as autopilot and navigation. Although deep-learning-based object detection methods have achieved great success in recent years, they are not effective in small object detection and most of them cannot achieve real-time processing. Therefore, this paper proposes a single-stage small object detection network (SODNet) that integrates the specialized feature extraction and information fusion techniques. An adaptively spatial parallel convolution module (ASPConv) is proposed to alleviate the lack of spatial information for target objects and adaptively obtain the corresponding spatial information through multi-scale receptive fields, thereby improving the feature extraction ability. Additionally, a split-fusion sub-module (SF) is proposed to effectively reduce the time complexity of ASPConv. A fast multi-scale fusion module (FMF) is proposed to alleviate the insufficient fusion of both semantic and spatial information. FMF uses two fast upsampling operators to first unify the resolution of the multi-scale feature maps extracted by the network and then fuse them, thereby effectively improving the small object detection ability. Comparative experimental results prove that the proposed method considerably improves the accuracy of small object detection on multiple benchmark datasets and achieves a high real-time performance.

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Ripai, Ahmad, Zulfi Abdullah, Mahdhivan Syafwan, and Wahyu Hidayat. "Benchmarking of the Split-Step Fourier Method on Solving a Soliton Propagation Equation in a Nonlinear Optical Medium." JURNAL ILMU FISIKA | UNIVERSITAS ANDALAS 12, no. 2 (September 28, 2020): 105–12. http://dx.doi.org/10.25077/jif.12.2.105-112.2020.

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Benchmarking of the numerical split-step Fourier method in solving a soliton propagation equation in a nonlinear optical medium is considered. This study is carried out by comparing the solutions calculated by numerics with those obtained by analytics. In particular, the soliton propagation equation used as the object of observation is the nonlinear Schrödinger (NLS) equation, which describes optical solitons in optical fiber. By using the split-step Fourier method, we show that the split-step Fourier method is accurate. We also confirm that the nonlinear and dispersion parameters of the optical fiber influence the soliton propagation.

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Lüpke, Friederike. "It’s a split, but is it unaccusativity?" Studies in Language 31, no. 3 (June 14, 2007): 525–68. http://dx.doi.org/10.1075/sl.31.3.02lup.

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Jalonke, a Mande language of Guinea, exhibits a formal split of intransitive verbs with respect to the possessive construction in which they appear. Whenever the single argument of a nominalized intransitive verb is linked to the possessor of the nominalized verb, an inalienable possessive construction is used with some verbs, and an alienable possessive construction with others. The inalienable possessive construction is also used for nominalized transitive verbs when possessed by their object participants, while the alienable possessive construction is used for transitive verbs possessed by their subject participants. Although synchronically not fully productive, this split points towards a diachronic explanation in terms of unaccusativity. It can be explained, however, without recurrence to different initial grammatical relations, but by relying on semantic differences only.

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Wang, Wen Wei, Cheng Lin, Ke Ma, and Jiao Yang Chen. "Power Split Strategy of Plug-in Series Hybrid Electric Bus Based on Fuzzy Control." Applied Mechanics and Materials 325-326 (June 2013): 961–65. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.961.

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Plug-in hybrid electric vehicle has become a new global research and development hotspot with dual characteristics as electric and hybrid. Power split strategy influences fuel economy and emission performance. Selecting the plug-in series hybrid system used for bus as the research object, the power split and engine speed control strategy based on fuzzy control has been developed. The simulation results show that the strategy can improve the fuel economy and emission performance effectively.

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Tipper, Steven P., Robert Rafal, Patricia A. Reuter-Lorenz, Yves Starrveldt, Tony Ro, Rob Egly, Shai Danzinger, and Bruce Weaver. "Object-based facilitation and inhibition from visual orienting in the human split-brain." Journal of Experimental Psychology: Human Perception and Performance 23, no. 5 (1997): 1522–32. http://dx.doi.org/10.1037/0096-1523.23.5.1522.

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Kingstone, Alan. "Covert orienting in the split brain: Right hemisphere specialization for object-based attention." Laterality: Asymmetries of Body, Brain and Cognition 21, no. 4-6 (December 18, 2015): 732–44. http://dx.doi.org/10.1080/1357650x.2015.1122605.

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Vincent, Jordan, and Ratnawati Kurnia. "Uji Komparasi Abnormal Return, Trading Volume, Dan Trading Frequency Sebelum Dan Sesudah Peristiwa Share Split Pada Perusahaan Yang Terdaftar Di Bursa Efek Indonesia Periode 2010 – 2013." Jurnal ULTIMA Accounting 6, no. 2 (December 1, 2014): 1–17. http://dx.doi.org/10.31937/akuntansi.v6i2.183.

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This study is event study that was conducted to determine differences in abnormal returns, trading volume, and trading frequency before and after the events of the share split. The object of this research is the companies that did the share split and listed in Indonesia Stock Exchange in 2010 - 2013. Samples were taken by using purposive sampling as many as 24 companies. The criteria is the company did not do corporate action right issue, pre-emptive rights, a share dividend and bonus shares in the same year with share split, then the company share actively traded 15 days before and after the share split. Data analysis technique begins with a test of normality using Kolmogorov - Smirnov test, then test the hypothesis using a paired t test to compare the differences before and after share split. In testing the hypothesis showed that the difference was only found on variable trading frequency before and after share split. While the other variables are abnormal return and trading volume was not found significant differences before and after the share split. Keywords: Share split, abnormal returns, trading volume, trading frequency

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Safira, Tania Hayu, and Febryanti Simon. "Uji Komparasi Abnormal Return, Trading Volume, Trading Frequency, Dan Bid-Ask Spread Sebelum Dan Sesudah Share Split." Jurnal ULTIMA Accounting 8, no. 2 (December 2, 2016): 24–45. http://dx.doi.org/10.31937/akuntansi.v8i2.580.

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This study is event study that was conduct to examine the differences of abnormal return, trading volume, trading frequency and bid-ask spread before and after the events of share split. The object of this research is the companies that did share split and listed in Indonesia Stock Exchange in 2008 - 2015. The samples are 30 companies chosen by purposive sampling method. The criteria are the company did not do corporate action right issue, pre-emptive rights, a share dividend and bonus shares in the same year with share split. Event window used in this study was 30 days consisting of 15 days before and 15 days after the share split. Data analysis technique begins with a test of normality using Kolmogorov – Smirnov and transform for unnormally distributed data. Then, test of hypothesis using Paired t – test to compare the differences before and after share split. The results of this study showed that volume trading activity and trading frequency had significant differences before and after the share split. While, variable abnormal return and bid-ask spread had not significant differences before and after the share split. Keywords: Abnormal return, bid-ask spread, share split, trading frequency, trading volume.

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