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Journal articles on the topic 'Object dimension'
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1
Szemenyei, Marton, and Ferenc Vajda. "Dimension Reduction for Objects Composed of Vector Sets." International Journal of Applied Mathematics and Computer Science 27, no. 1 (2017): 169–80. http://dx.doi.org/10.1515/amcs-2017-0012.
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Abstract Dimension reduction and feature selection are fundamental tools for machine learning and data mining. Most existing methods, however, assume that objects are represented by a single vectorial descriptor. In reality, some description methods assign unordered sets or graphs of vectors to a single object, where each vector is assumed to have the same number of dimensions, but is drawn from a different probability distribution. Moreover, some applications (such as pose estimation) may require the recognition of individual vectors (nodes) of an object. In such cases it is essential that the nodes within a single object remain distinguishable after dimension reduction. In this paper we propose new discriminant analysis methods that are able to satisfy two criteria at the same time: separating between classes and between the nodes of an object instance. We analyze and evaluate our methods on several different synthetic and real-world datasets.
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Purwaningsih, Ratna, Zettira Ameliafidhoh, Aries Susanty, Susatyo Nugroho W Pramono, and Febrina Agusti. "Sustainability Status Assessment of The Borobudur Temple using The Rap-Tourism with Multi-Dimensional Scaling (MDS) Approach." E3S Web of Conferences 317 (2021): 05004. http://dx.doi.org/10.1051/e3sconf/202131705004.
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Visitors’ number of Indonesian-tourism increases every year and impacts the sustainability of the tourism object. Borobudur Temple is one of the most popular tourist objects in Indonesia located in Magelang, Central Java. This research aims to assess the Borobudur temple tourist destination’s sustainability status and identify indicators that need improvement to increase its sustainability index. The data processing used the Rap-tourism with a Multidimensional Scaling (MDS) approach. The results show the sustainability index value is 69,84, categorize as moderate. The sustainability index was formed from four dimensions, the environmental dimension index 66,94; economic dimension index 72,62; sociocultural dimensions index 72,76; and institutional dimensions index 69,27. A recommendation was generated by an interview with tourism object management and then selected based on sensitive indicators of each dimension (highest RMS value). Selected recommendations are a rearrangement of plants, developing complaint handling services, constructing outbound rides and flying foxes, and promoting the complementary tourism and attractions at Borobudur Temple.
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Patel, Chirag, Dulari Bhatt, Urvashi Sharma, et al. "DBGC: Dimension-Based Generic Convolution Block for Object Recognition." Sensors 22, no. 5 (2022): 1780. http://dx.doi.org/10.3390/s22051780.
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The object recognition concept is being widely used a result of increasing CCTV surveillance and the need for automatic object or activity detection from images or video. Increases in the use of various sensor networks have also raised the need of lightweight process frameworks. Much research has been carried out in this area, but the research scope is colossal as it deals with open-ended problems such as being able to achieve high accuracy in little time using lightweight process frameworks. Convolution Neural Networks and their variants are widely used in various computer vision activities, but most of the architectures of CNN are application-specific. There is always a need for generic architectures with better performance. This paper introduces the Dimension-Based Generic Convolution Block (DBGC), which can be used with any CNN to make the architecture generic and provide a dimension-wise selection of various height, width, and depth kernels. This single unit which uses the separable convolution concept provides multiple combinations using various dimension-based kernels. This single unit can be used for height-based, width-based, or depth-based dimensions; the same unit can even be used for height and width, width and depth, and depth and height dimensions. It can also be used for combinations involving all three dimensions of height, width, and depth. The main novelty of DBGC lies in the dimension selector block included in the proposed architecture. Proposed unoptimized kernel dimensions reduce FLOPs by around one third and also reduce the accuracy by around one half; semi-optimized kernel dimensions yield almost the same or higher accuracy with half the FLOPs of the original architecture, while optimized kernel dimensions provide 5 to 6% higher accuracy with around a 10 M reduction in FLOPs.
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Szwed, Marcin, Knarik Bagdasarian, Barak Blumenfeld, Omri Barak, Dori Derdikman, and Ehud Ahissar. "Responses of Trigeminal Ganglion Neurons to the Radial Distance of Contact During Active Vibrissal Touch." Journal of Neurophysiology 95, no. 2 (2006): 791–802. http://dx.doi.org/10.1152/jn.00571.2005.
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Rats explore their environment by actively moving their whiskers. Recently, we described how object location in the horizontal (front–back) axis is encoded by first-order neurons in the trigeminal ganglion (TG) by spike timing. Here we show how TG neurons encode object location along the radial coordinate, i.e., from the snout outward. Using extracellular recordings from urethane-anesthetized rats and electrically induced whisking, we found that TG neurons encode radial distance primarily by the number of spikes fired. When an object was positioned closer to the whisker root, all touch-selective neurons recorded fired more spikes. Some of these cells responded exclusively to objects located near the base of whiskers, signaling proximal touch by an identity (labeled-line) code. A number of tonic touch-selective neurons also decreased delays from touch to the first spike and decreased interspike intervals for closer object positions. Information theory analysis revealed that near-certainty discrimination between two objects separated by 30% of the length of whiskers was possible for some single cells. However, encoding reliability was usually lower as a result of large trial-by-trial response variability. Our current findings, together with the identity coding suggested by anatomy for the vertical dimension and the temporal coding of the horizontal dimension, suggest that object location is encoded by separate neuronal variables along the three spatial dimensions: temporal for the horizontal, spatial for the vertical, and spike rate for the radial dimension.
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Jiang, Hao. "Effects of Transient and Nontransient Changes of Surface Feature on Object Correspondence." Perception 49, no. 4 (2020): 452–67. http://dx.doi.org/10.1177/0301006620913238.
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Object correspondence is a fundamental problem in perception. Classic theories hold that the computation of correspondence is solely based on spatiotemporal information. Recent research showed that surface features also play an important role. However, the surface features of objects in many studies did not change throughout a trial. This study investigated the effect of feature change on object correspondence using the object-reviewing paradigm. Two moving objects underwent transient feature changes on color dimension (Experiment 1A) or a combination of three dimensions (Experiment 2A). Moreover, the objects moved behind four occluders to make the feature change nontransient (Experiments 1B and 2B). Object-specific preview benefits were reduced or eliminated when feature changes were transient, but the benefits were not affected when feature changes were nontransient. The effects of transient versus nontransient changes of surface feature in object correspondence are discussed.
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Arbour, Ghislain. "Frameworks for program evaluation: Considerations on research, practice, and institutions." Evaluation 26, no. 4 (2020): 422–37. http://dx.doi.org/10.1177/1356389020920890.
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The term “evaluation framework” and other associated terms are common in the practice and the discipline of program evaluation. These terms correspond to a variety of meanings across contexts and organizations and, thus, tend to lack overall consistency. In response, this article provides a model to analyze frameworks for program evaluation organized around four dimensions. The model states that a framework for evaluation is an intellectual framework made of concepts and/or theories (first dimension: types of ideas) about an object related to evaluation (second dimension: object), where the said concepts and theories can be positive and/or normative (third dimension: analytical perspective). These three dimensions provide the means to describe, explain, or judge an evaluation-related matter. A fourth and optional dimension, the institutional character of a framework, allows an evaluation framework to become a form of regulation for behaviors related to program evaluation (fourth dimension: institutional dimension).
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Song, Weiling, Tiwei Zhao, and Zhaoyong Huang. "Homological Dimensions Relative to Special Subcategories." Algebra Colloquium 28, no. 01 (2021): 131–42. http://dx.doi.org/10.1142/s1005386721000122.
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Let [Formula: see text] be an abelian category, [Formula: see text] an additive, full and self-orthogonal subcategory of [Formula: see text] closed under direct summands, [Formula: see text] the right Gorenstein subcategory of [Formula: see text] relative to [Formula: see text], and [Formula: see text] the left orthogonal class of [Formula: see text]. For an object [Formula: see text] in [Formula: see text], we prove that if [Formula: see text] is in the right 1-orthogonal class of [Formula: see text], then the [Formula: see text]-projective and [Formula: see text]-projective dimensions of [Formula: see text] are identical; if the [Formula: see text]-projective dimension of [Formula: see text] is finite, then the [Formula: see text]-projective and [Formula: see text]-projective dimensions of [Formula: see text] are identical. We also prove that the supremum of the [Formula: see text]-projective dimensions of objects with finite [Formula: see text]-projective dimension and that of the [Formula: see text]-projective dimensions of objects with finite [Formula: see text]-projective dimension coincide. Then we apply these results to the category of modules.
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Ardiansyah; C. Sudianto Aly, Iqbal. "THE EXPRESSION OF NATION-BUILDING AND THE CHARACTER-BUILDING SPIRIT AS FORMS OF NATIONAL IDENTITY AS OBSERVED IN THE ISTIQLAL MOSQUE’S ARCHITECTURE." Riset Arsitektur (RISA) 1, no. 04 (2017): 399–412. http://dx.doi.org/10.26593/risa.v1i04.2752.399-412.
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Abstract- A political regime generally possesses an identity and has insight into nationally idealistic cultural values. Its expression can be observed in the art and physical architecture that blossoms in its era. This insight gives birth to national identity. The formation of national identity itself originated from several dimensions, namely the sub-national dimension, the personal dimension, and the supra-national dimension. In the transition between the Netherland-East Indies and the Republic of Indonesia, Indonesia as a new country possessed ideals in the formation of physical architectures that can represent its national identity. This insight is realized in detail within nation-building and character-building ideas within several mega-projects pioneered by the Old-Order government. One of them was the Istiqlal Mosque as a national house of worship. The expression of Istiqlal Mosque architecture cannot be separated from the dimensions of national identity formation in architecture. The focus of this research is on the observation of Istiqlal Mosque architecture. Indicators of the national identity’s expression in Istiqlal Mosque architecture are: the discussion of national-identity dimensions in architecture (national-identity dimension – sub-national dimension, national-identity dimension – personal identity and national-identity dimension- supra-national identity). The discussions of expression in architecture that can be achieved through visual composition formation are (a) domination, (b) repetition, and (C) continuity in composition of one architectural object. The object of architecture was further examined, arranged by form and material, general design principles, contextual relations, and physical, semantic and spatial organization of an architectural object. The Istiqlal Mosque is one example of an architectural product from the previous political regime that can profoundly and critically sharpen our thoughts concerning the Indonesian nation’s identity on the national and state level. Keywords: national identity, nation-building and character-building, sub-national dimension, personal dimension, supra-national dimension, Istiqlal Mosque
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Lederman, Susan J., Roberta L. Klatzky, and Catherine L. Reed. "Constraints on Haptic Integration of Spatially Shared Object Dimensions." Perception 22, no. 6 (1993): 723–43. http://dx.doi.org/10.1068/p220723.
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A study of the haptic integration of texture, shape, and hardness of nonplanar solid objects is reported. In experiment 1 the relative discriminability of the objects along each dimension was assessed. While levels of texture and shape were equally discriminable, hardness discriminations proved considerably more difficult. The extent of dimensional integration in a speeded classification task when both dimensions could be extracted from the same local patch was investigated in experiments 2 and 3. In experiment 2 subjects were initially encouraged to attend to a nontargeted dimension covarying with a targeted one. The nontargeted dimension was subsequently held constant (withdrawn). In experiment 3 dimensional variation was introduced which was uncorrelated with the targeted property during the course of categorization and hence discouraged subjects from attending to the nontargeted property. The results of these two studies converged in showing evidence of bidirectional dimensional integration between texture and shape and unidirectional integration when hardness was the targeted dimension. The failure to integrate hardness into categorization based on texture or shape was attributed to the difficulty of hardness discriminations. Integration effects in experiment 3 were not consistently smaller than those in experiment 2, which suggests a strong involuntary component to dimensional integration. The results of an analysis of the accompanying hand movements are interpreted in terms of constraints on dimensional integration. Implications for visual, cross-modal, and two-handed codimensional processing are also discussed.
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Lin, Cong, and Chi Man Pun. "Adaptive Image Feature Reduction for Object Tracking." Advanced Materials Research 989-994 (July 2014): 3605–8. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3605.
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A novel adaptive image feature reduction approach for object tracking using vectorized texture feature is proposed in this paper. Our contributions are three-fold: 1) a statistical discriminative appearance model using texture feature was proposed. 2) Majority of dimensions of the features are removed by judging their errors of the chosen distribution model. The remaining dimensions are most discriminative ones for classification task. The dimension reduction has advantages of reducing the computational cost in classification stage. 3) An adaptive learning rate was proposed to handle drifts caused by long term occlusion. Preliminary experimental results are satisfactory and compared to state-of-the-art object tracking methods.
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Castiello, Umberto, Claudia Bonfiglioli, and Kerry M. B. Bennett. "How perceived object dimension influences prehension." NeuroReport 7, no. 3 (1996): 825–29. http://dx.doi.org/10.1097/00001756-199602290-00034.
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Wang, Jun, Tao Mei, Bin Kong, and Xiang Dong. "Research on Object Recognition of Intelligent Robot Base on Binocular Vision." Applied Mechanics and Materials 127 (October 2011): 300–304. http://dx.doi.org/10.4028/www.scientific.net/amm.127.300.
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For intelligent robots need reliable object recognition and precise orientation in complex environments, this paper presents a method that use binocular vision to object recognition. In this paper, use least-squares fitting method to accurately determine coordinates of one matching point and four boundary points. calculate the three-dimension coordinate of the mathcing point via binocular vision theory, compute the three-dimension information include the size and height of the object via projection theory and restrictive relation between four boundary points and depth of mathcing point, which improve the reliability of object recognition and precise of orientation. The results of experiment show that this method can get reliable object recognition and precise orientation, meet the needs of robot path planning and grab objects with gripper.
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Hiller, Moritz. "Signs O’ The Times." Digital Culture & Society 1, no. 1 (2015): 151–64. http://dx.doi.org/10.14361/dcs-2015-0110.
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AbstractThis paper addresses the question of software preservation by approaching this field from a philologic perspective. Philology here is not understood as hermeneutic operation of interpretation, but rather as practice of preserving material objects: critically providing them as basis for future investigation. Software’s status as a material object could not be more uncertain, since it merges - as a source code - a textual dimension and - as a programme - a processual dimension. It is only within the logic of this operativity that software as an object of digital materiality becomes fully conceivable. Since a philology of software would have to consider the phenomenon’s dual mode of existence as static text and/or time-critical process to enable research within both dimensions, old questions about what to preserve and how to preserve it rise anew. The paper will therefore take up a few basic notions of traditional scholarly editing, the software of philology. It explores to what extent they can be applied to objects of digital materiality in order to outline an initial idea of a philology of software.
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Ma, Ding, Zhezhou Yu, JiKun Yu, and Wei Pang. "A Novel Object Tracking Algorithm Based on Compressed Sensing and Entropy of Information." Mathematical Problems in Engineering 2015 (2015): 1–18. http://dx.doi.org/10.1155/2015/628101.
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Object tracking has always been a hot research topic in the field of computer vision; its purpose is to track objects with specific characteristics or representation and estimate the information of objects such as their locations, sizes, and rotation angles in the current frame. Object tracking in complex scenes will usually encounter various sorts of challenges, such as location change, dimension change, illumination change, perception change, and occlusion. This paper proposed a novel object tracking algorithm based on compressed sensing and information entropy to address these challenges. First, objects are characterized by the Haar (Haar-like) and ORB features. Second, the dimensions of computation space of the Haar and ORB features are effectively reduced through compressed sensing. Then the above-mentioned features are fused based on information entropy. Finally, in the particle filter framework, an object location was obtained by selecting candidate object locations in the current frame from the local context neighboring the optimal locations in the last frame. Our extensive experimental results demonstrated that this method was able to effectively address the challenges of perception change, illumination change, and large area occlusion, which made it achieve better performance than existing approaches such as MIL and CT.
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Hendrix, Claudia M., Carolyn R. Mason, and Timothy J. Ebner. "Signaling of Grasp Dimension and Grasp Force in Dorsal Premotor Cortex and Primary Motor Cortex Neurons During Reach to Grasp in the Monkey." Journal of Neurophysiology 102, no. 1 (2009): 132–45. http://dx.doi.org/10.1152/jn.00016.2009.
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A fundamental question is how the CNS controls the hand with its many degrees of freedom. Several motor cortical areas, including the dorsal premotor cortex (PMd) and primary motor cortex (M1), are involved in reach to grasp. Although neurons in PMd are known to modulate in relation to the type of grasp and neurons in M1 in relation to grasp force and finger movements, whether specific parameters of whole hand shaping are encoded in the discharge of these cells has not been studied. In this study, two monkeys were trained to reach and grasp 16 objects varying in shape, size, and orientation. Grasp force was explicitly controlled, requiring the monkeys to exert either three or five levels of grasp force on each object. The animals were unable to see the objects or their hands. Single PMd and M1 neurons were recorded during the task, and cell firing was examined for modulation with object properties and grasp force. The firing of the vast majority of PMd and M1 neurons varied significantly as a function of the object presented as well as the object grasp dimension. Grasp dimension of the object was an important determinant of the firing of cells in both PMd and M1. A smaller percentage of PMd and M1 neurons were modulated by grasp force. Linear encoding was prominent with grasp force but less so with grasp dimension. The correlations with grasp dimension and grasp force were stronger in the firing of M1 than PMd neurons and across both regions the modulation with these parameters increased as reach to grasp proceeded. All PMd and M1 neurons that signaled grasp force also signaled grasp dimension, yet the two signals showed limited interactions, providing a neural substrate for the independent control of these two parameters at the behavioral level.
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Mazurek, Przemysław, and Dorota Oszutowsk A-M Ażurek. "From the slit-island method to the Ising model: Analysis of irregular grayscale objects." International Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 49–63. http://dx.doi.org/10.2478/amcs-2014-0004.
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Abstract The Slit Island Method (SIM) is a technique for the estimation of the fractal dimension of an object by determining the area- perimeter relations for successive slits. The SIM could be applied for image analysis of irregular grayscale objects and their classification using the fractal dimension. It is known that this technique is not functional in some cases. It is emphasized in this paper that for specific objects a negative or an infinite fractal dimension could be obtained. The transformation of the input image data from unipolar to bipolar gives a possibility of reformulated image analysis using the Ising model context. The polynomial approximation of the obtained area-perimeter curve allows object classification. The proposed technique is applied to the images of cervical cell nuclei (Papanicolaou smears) for the preclassification of the correct and atypical cells.
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Waliulu, Raditya Faisal. "Deteksi dan Penggolongan Kendaraan dengan Kalman Filter dan Model Gaussian di Jalan Tol." JURNAL SISTEM INFORMASI BISNIS 8, no. 1 (2018): 1. http://dx.doi.org/10.21456/vol8iss1pp1-8.
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Monitoring systems are widely implemented in various sectors aimed at improving the security and productivity aspects. The research aims to detect moving objects in the form of video file tipefile (* .avi) 640x480 resolution and image class according to pixel area. Moving objects are given in the Region of Interest path for easy detection. Detection on moving objects using methods of Kalman filter and gaussian mixture model. There are two types of distribution, the distribution of Background and Foreground. The form of the Foreground distribution is filtered using Bit Large Object segmentation to obtain the dimensions of the vehicle and morphological operations. The feature extraction results from the vehicle are used for vehicle classification based on pixel dimension. Segmentation results are used by Kalman Filter to calculate the tracking of moving object positions. If the Bit Large Object segmentation is not found moving object, then it is continued on the next frame. The final results of system detection are calculated using Positive True validation, True Negative, False Positive, and False Negative by looking for the sensitivity and specificity of each morning, day and night conditions
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Pothiyodath, Nishanth, and Udayanandan Kandoth Murkoth. "Fractals and music." Momentum: Physics Education Journal 6, no. 2 (2022): 119–28. http://dx.doi.org/10.21067/mpej.v6i2.6796.
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Many natural phenomena we find in our surroundings, are fractals. Studying and learning about fractals in classrooms is always a challenge for both teachers and students. We here show that the sound of musical instruments can be used as a good resource in the laboratory to study fractals. Measurement of fractal dimension which indicates how much fractal content is there, is always uncomfortable, because of the size of the objects like coastlines and mountains. A simple fractal source is always desirable in laboratories. Music serves to be a very simple and effective source for fractal dimension measurement. In this paper, we are suggesting that music which has an inherent fractal nature can be used as an object in classrooms to measure fractal dimensions. To find the fractal dimension we used the box-counting method. We studied the sound produced by different stringed instruments and some common noises. For good musical sound, the fractal dimension obtained is around 1.6882.
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Pertiwi, Endang, Bambang Nurcahyo Prastowo, and Lukman Awaluddin. "Pertautan Citra Tampak Atas dengan Metode Stereoskopik untuk Menghilangkan Distorsi Perspektif." IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) 9, no. 2 (2019): 183. http://dx.doi.org/10.22146/ijeis.50019.
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Stitching citra with different object’s depth and disposed close to the camera willing caused panoramic citra with distortion perspective (caused double or disappear object) because the camera see in two dimension with large horizontal disparity by each camera. For solve that problem, stereoscopic method purpose to give depth perception of three dimension from two images with same background so information of depth by the object be able to get with intuitive way.This research presented system with ROI segmentation for any static objects, stitching for each objects and combine them become a panoramic image then shown in citra panoramic. SIFT descriptor used for detect and extract feature from the images. The result of this system successful presented combination for stitching by the static objects.
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Doni Fitri, Nofria. "Peran Cahaya Dari Jendela Pada Foto Alam Benda (Konfigurasi Objek, Cahaya dan Komposisi)." AKSA: Jurnal Desain Komunikasi Visual 1, no. 1 (2017): 017–30. http://dx.doi.org/10.37505/aksa.v1i1.3.
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Enchantment of still life Photography is often seen from the unique side of the real object. Obsolete objects age consumed by the photographer is commonly chosen as a photo object. In addition to reviving memories of these objects, old artifacts are always interesting to see because they are rarely found today. Photographs of identical objects with art photographs are created to meet the aesthetic satisfaction of the photographer and are free from commercial purposes. Objects with the uniqueness of the form have a specific meaning for the photographer, life experiences that intersect with the object it becomes the reason to choose it as an object. In addition to the physical quality of the object, there is another factor that is not less for an object as an object, namely light, and composition. How the process of making a still life object by the window lighting of the work of Bertina De Moiij so it has a good dimension. In this discussion will be disclosed.
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Lombardi, Riccardo. "Object Relations and the Ineffable Bodily Dimension." Contemporary Psychoanalysis 49, no. 1 (2013): 82–102. http://dx.doi.org/10.1080/00107530.2013.10746534.
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Hegde, Shridhar, Santosh G, and Shivakumar M. "Estimation of Object Dimension using Image Processing." International Journal of Computer Science Engineering 9, no. 4 (2020): 289–96. http://dx.doi.org/10.21817/ijcsenet/2020/v9i4/200904024.
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Gamerschlag, Thomas. "Stative dimensional verbs in German." Studies in Language 38, no. 2 (2014): 275–334. http://dx.doi.org/10.1075/sl.38.2.02gam.
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Stative verbs such as German wiegen ‘weigh’ and heißen ‘be called’ encode an attribute of the subject referent such as WEIGHT or NAME and, in addition, allow for the specification of a value for this attribute. From a cognitive perspective, we refer to attributes of this type as object dimensions and to stative verbs encoding object dimensions as stative dimensional verbs. We argue in favor of the relevance of these verbs to cognitive science and semantics. After introducing basic types of stative dimensional verbs, we discuss the results of an in-depth investigation of these verbs in German. In addition to the kind of dimensions encoded by stative verbs, there will be a particular focus on contrasts in the distribution of dimension encoding verbs, nouns, and adjectives. Moreover, we will present a taxonomy of stative dimensional verbs in dependence of the specific dimension.
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Mol, Rogério S. "Flags of holomorphic foliations." Anais da Academia Brasileira de Ciências 83, no. 3 (2011): 775–86. http://dx.doi.org/10.1590/s0001-37652011005000025.
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A flag of holomorphic foliations on a complex manifold M is an object consisting of a finite number of singular holomorphic foliations on M of growing dimensions such that the tangent sheaf of a fixed foliation is a subsheaf of the tangent sheaf of any of the foliations of higher dimension. We study some basic properties oft hese objects and, in <img src="/img/revistas/aabc/2011nahead/aop2411pcn.jpg" align="absmiddle" />, n > 3, we establish some necessary conditions for a foliation, we find bounds of lower dimension to leave invariant foliations of codimension one. Finally, still in <img src="/img/revistas/aabc/2011nahead/aop2411pcn.jpg" align="absmiddle" /> involving the degrees of polar classes of foliations in a flag.
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Yasin, Ach. "The Effectiveness of Zakat Institutions Empowerment Using the Zakat Village Index: Analysis in Sumenep East Java." Jurnal Ilmiah Ekonomi Islam 8, no. 1 (2022): 363. http://dx.doi.org/10.29040/jiei.v8i1.3637.
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This study examines zakat-based village empowerment. This research was conducted as a response to the less than optimal program of zakat institutions and at the same time as an alternative in empowering by focusing on the feasibility of villages as measured through the Zakat Village Index (IDZ). Eligibility is based on the economic dimension, the health dimension, the education dimension, the social and humanitarian dimension and the da'wah dimension. From these 5 (five) dimensions, the Zakat Village Index will be produced. This study uses a mixed method research method. The objects in this study are several villages in Sumenep Regency, which have received empowerment assistance and which have not received empowerment assistance from zakat institutions. The results in this study indicate that from calculating the village zakat index (IDZ) in Sumenep Regency. Of the 11 (eleven) villages that became the object of research, there are 3 (three) villages that believe Gadding Village with an IDZ index of 0.39, Gunung Kembar Village with an IDZ index of 0.39, Jebe'en Village which should be a priority in empowerment by zakat institutions. By considering the IDZ score, it is hoped that empowerment will be better and more effective
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Vyalova, A. V., and Yu I. Shevchenko. "The composite equipment for manifold of hypercentered planes, whose dimension coincides with dimension of generating plane." Differential Geometry of Manifolds of Figures, no. 52 (2021): 52–62. http://dx.doi.org/10.5922/0321-4796-2021-52-6.
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In n-dimensional projective space Pn a manifold , i. e., a family of pairs of planes one of which is a hyperplane in the other, is considered. A principal bundle arises over it, . A typical fiber is the stationarity subgroup of the generator of pair of planes: external plane and its multidimensional center — hyperplane. The principal bundle contains four factor-bundles. A fundamental-group connection is set by the Laptev — Lumiste method in the associated fibering. It is shown that the connection object contains four subobjects that define connections in the corresponding factor-bundles. It is proved that the curvature object of fundamental-group connection forms pseudotensor. It contains four subpseudotensors, which are curvature objects of the corresponding subconnections. The composite equipment of the family of hypercentered planes set by means of a point lying in the plane and not belonging to its hypercenter and an (n – m – 1)-dimensional plane, which does not have common points with the hypercentered plane. It is proved, that composite equipment induces the fundamental-group connections of two types in the associated fibering.
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JENSEN, BERNT TORE, DAG OSKAR MADSEN, and XIUPING SU. "FILTRATIONS IN ABELIAN CATEGORIES WITH A TILTING OBJECT OF HOMOLOGICAL DIMENSION TWO." Journal of Algebra and Its Applications 12, no. 02 (2012): 1250149. http://dx.doi.org/10.1142/s0219498812501496.
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We consider filtrations of objects in an abelian category [Formula: see text] induced by a tilting object T of homological dimension at most two. We define three extension closed subcategories [Formula: see text] and [Formula: see text] with [Formula: see text] for j > i, such that each object in [Formula: see text] has a unique filtration with factors in these categories. In dimension one, this filtration coincides with the classical two-step filtration induced by the torsion pair. We also give a refined filtration, using the derived equivalence between the derived categories of [Formula: see text] and the module category of [Formula: see text].
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Salleh, Syahiirah, Uznir Ujang, and Suhaibah Azri. "Representing 3D Topological Adjacencies between Volumes Using a 36-Intersection Model." Geomatics and Environmental Engineering 16, no. 2 (2022): 127–55. http://dx.doi.org/10.7494/geom.2022.16.2.127.
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Topological properties of objects should be maintained and preserved to concisely represent objects. However, the implementation of 2D topological rules requires the decomposition of 3D objects into lower dimensions to determine topological relationships. This results in 2D topological relationships although the connected objects are in 3D. Hence, accurate representation of 3D connectivity in 3D models is limited. 3D topological rules can be implemented to include topological connectivity in 3D space. This paper implemented an extension of the 27-Intersection Model (27-IM) called the 36-Intersection Model (36-IM) to represent 3D topological adjacencies of two objects in 3D space. This resulted in a 12 × 3 intersection matrix or 36-IM that represented the intersections in terms of dimension and number of separations. Six cases were tested, consisting of “meets”, “disjoint” “intersects at a line”, “intersects at a point”, “contains”, and “overlaps”. The resulting 36-IM matrices provided an accurate representation of how the objects in 3D space were related and their dimension of intersections. The formalisms of the 36-IM matrices were also interoperable which allowed the interpretation of 36-IM using the 9IM and DE-9IM to determine general topological relationships. By examining the intersection of interiors, boundaries and exteriors of 3D objects without object decomposition, 3D topological relationships can be determined as well as the dimension and manner of intersection.
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Kakirde, Shubham, Shubham Jain, Swaraj Kaondal, Reena Sonkusare, and Rita Das. "Automated Dimension Measurement System." International Journal of Engineering and Advanced Technology 10, no. 5 (2021): 163–69. http://dx.doi.org/10.35940/ijeat.d2399.0610521.
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In this fast-paced world, it is inevitable that the manual labor employed in industries will be replaced by their automated counterparts. There are a number of existing solutions which deal with object dimensions estimation but only a few of them are suitable for deployment in the industry. The reason being the trade-off between the cost, time for processing, accuracy and system complexity. The proposed system aims to automate the mentioned tasks with the help of a single camera and a line laser module for each conveyor belt setup using laser triangulation method to measure the height and edge detection algorithm for measuring the length and breadth of the object. The minimal use of equipment makes the system simple, power and time efficient. The proposed system has an average error of around 3% in the dimension estimation.
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Griffen, Dana T., and Kim R. Sullivan. "X-Ray Powder Diffraction Patterns as Random Fractals." Advances in X-ray Analysis 39 (1995): 739–46. http://dx.doi.org/10.1154/s0376030800023193.
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The concept of fractals (or fractional dimensions), although known earlier, was formalized theoretically and given that name in 1967 by Mandelbrot. A fractal is some object, whether mathematically constructed or observed in the physical world, that exhibits scale in variance—that is, it looks essentially the same at all scales, or over some range of scales. Objects that exhibit fractal geometry and that are measured in the same units in both the x and y directions are said to be self-similar; geologic examples of self-similar fractals are a rocky coastline and a topographic contour, for which the east-west and north-south coordinates of any point are expressed in, say, meters or kilometers. Objects that exhibit fractal geometry but which are measured in different units along x and y are said to be selfaffine fractals; an example of a self-affine fractal is a topographic profile, in which the horizontal dimension is measured in kilometers and the vertical dimension is measured in meters.
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Jiang, Shiguo, and Desheng Liu. "Box-Counting Dimension of Fractal Urban Form." International Journal of Artificial Life Research 3, no. 3 (2012): 41–63. http://dx.doi.org/10.4018/jalr.2012070104.
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The difficulty to obtain a stable estimate of fractal dimension for stochastic fractal (e.g., urban form) is an unsolved issue in fractal analysis. The widely used box-counting method has three main issues: 1) ambiguities in setting up a proper box cover of the object of interest; 2) problems of limited data points for box sizes; 3) difficulty in determining the scaling range. These issues lead to unreliable estimates of fractal dimensions for urban forms, and thus cast doubt on further analysis. This paper presents a detailed discussion of these issues in the case of Beijing City. The authors propose corresponding improved techniques with modified measurement design to address these issues: 1) rectangular grids and boxes setting up a proper box cover of the object; 2) pseudo-geometric sequence of box sizes providing adequate data points to study the properties of the dimension profile; 3) generalized sliding window method helping to determine the scaling range. The authors’ method is tested on a fractal image (the Vicsek prefractal) with known fractal dimension and then applied to real city data. The results show that a reliable estimate of box dimension for urban form can be obtained using their method.
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Krajewski, Marek. "Sposoby życia przedmiotów. O trwałości dóbr materialnych." Kultura i Społeczeństwo 54, no. 1 (2010): 17–34. http://dx.doi.org/10.35757/kis.2010.54.1.2.
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The article comprises an attempt to answer the question why some material objects are, in a social and cultural sense, more long-lasting than others. The answer lies in the model of the life-space of the things. This space is created by two basic dimensions. The first is defined by the character of the relationships created by the objects (this dimension comprises the opposition between the technical relations versus the communicative ones). The second is defined by the character of the relationship between the body of the user and the material object (this is created by the opposition: accessible or inaccessible to sensory experience). The transition of the material object through this space is the life-way of the object, and it is precisely this which defines the longevity of the object and thus the length of time it persists within a specific community. The author determines that long-lasting objects are above all those which are linked with the community, or users, by single, unambiguous relationships and links, while those which have ambivalent and multiple links are of shorter lifespan. Whether or not a thing has a long life or not is determined therefore by the multiplicity of meanings it has which render impossible its role as a stabiliser of the links that constitute a community, as a foundation of the individual’s identity, a guarantee of ontological security.
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AKHTAR, NAMEERA. "Relevance and early word learning." Journal of Child Language 29, no. 3 (2002): 677–86. http://dx.doi.org/10.1017/s0305000902005214.
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Several theorists have proposed that children may interpret an ambiguous word by attending to the dimension that is most relevant in the immediate discourse context. The current study offers a direct test of this hypothesis. Children aged 2;6 and 3;4 (N = 24 in each group) were presented with a novel object with an unusual shape and texture and were told ‘This is a dacky one’. In the Shape-Relevant condition, two other objects' shapes were described before the target object was labelled (‘This is a round one; this is a square one’). In the Texture-Relevant condition, two preceding objects' textures were described (‘This is a smooth one; this is a fuzzy one’). Subsequent comprehension tests indicated that, in extending the novel adjective to other exemplars, children attended to the dimension that was most relevant to the preceding discourse context.
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Diaz, Carlos, and Shahram Payandeh. "Multimodal Sensing Interface for Haptic Interaction." Journal of Sensors 2017 (2017): 1–24. http://dx.doi.org/10.1155/2017/2072951.
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This paper investigates the integration of a multimodal sensing system for exploring limits of vibrato tactile haptic feedback when interacting with 3D representation of real objects. In this study, the spatial locations of the objects are mapped to the work volume of the user using a Kinect sensor. The position of the user’s hand is obtained using the marker-based visual processing. The depth information is used to build a vibrotactile map on a haptic glove enhanced with vibration motors. The users can perceive the location and dimension of remote objects by moving their hand inside a scanning region. A marker detection camera provides the location and orientation of the user’s hand (glove) to map the corresponding tactile message. A preliminary study was conducted to explore how different users can perceive such haptic experiences. Factors such as total number of objects detected, object separation resolution, and dimension-based and shape-based discrimination were evaluated. The preliminary results showed that the localization and counting of objects can be attained with a high degree of success. The users were able to classify groups of objects of different dimensions based on the perceived haptic feedback.
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Devi, Rajkumari Bidyalakshmi, Yambem Jina Chanu, and Khumanthem Manglem Singh. "Incremental online object tracking via superpixel dimension reduction." Signal, Image and Video Processing 14, no. 1 (2019): 187–94. http://dx.doi.org/10.1007/s11760-019-01541-1.
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Nobre, Anna Christina, Anling Rao, and Leonardo Chelazzi. "Selective Attention to Specific Features within Objects: Behavioral and Electrophysiological Evidence." Journal of Cognitive Neuroscience 18, no. 4 (2006): 539–61. http://dx.doi.org/10.1162/jocn.2006.18.4.539.
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Evidence regarding the ability of attention to bias neural processing at the level of single features has been gathering steadily, but most of the experiments to date used arrays with multiple objects and locations, making it difficult to rule out indirect influences from object or spatial attention. To investigate feature-specific selective attention, we have assessed the ability to select and ignore individual features within the same object. We used a negative-priming paradigm in which the color or the direction of internal motion of the object could determine the relevant response. Bidimensional (colored and moving) and unidimensional (colored and stationary, or gray and moving) stimuli appeared in unpredictable order. In successive blocks, participants were instructed that one feature dimension was dominant. During that block, participants responded according to the dominant dimension for bidimensional stimuli. For unidimensional stimuli, participants responded to the only dimension of the stimulus that afforded a response, regardless of the instruction for the block. The ability to inhibit irrelevant task information at the level of specific features (negative priming for features) was indexed by a decrease in performance to detect one particular feature value (e.g., red) if the same feature value (red) but not another color value (green) had been ignored in the previous bidimensional stimulus. Behavioral results confirmed the existence of inhibitory, negative-priming mechanisms at the singlefeature level for both color and motion dimensions of stimuli. Event-related potentials recorded during task performance revealed the dynamics of neural modulation by feature attention. Comparisons were made using the identical physical stimuli under different conditions of attention to isolate purely attentional effects. Processing of identical bidimensional stimuli was compared as a function of the dimension of attention (color, motion). Processing of identical unidimensional stimuli that followed bidimensional stimuli was also compared to identify possible effects of feature-specific negative priming. The electrophysiological effects revealed that inhibition of irrelevant features leads to modulation of brain activity during early stages of perceptual analysis.
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Raycheva, Nadezhda. "Methodological Framework to Develop Meaning Formation Categories in Methodology of Biology Education." Natural Science and Advanced Technology Education 30, no. 2 (2021): 149–63. http://dx.doi.org/10.53656/nat2021-2.03.
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Science could be thought as mature in cases it obtains clear terminology and methodology i.e. recognizable scientific language and object to be researched. The integrative sciences, such as the methodology of biology education, face the challenge to look for themselves “overshadow” of other sciences related to object or methodology. In search for defined territory among sciences, critically important is elucidating the categories and deducing fundamental concepts of a given science. Transfer of experience takes place in four-dimensional system – on first place, are ideas, on the second, are symbols, signs, and terms related with ideas; the third dimension is objective meaning, other words representation in reality (in culture as values – technological, ethical, aesthetical and so on) and the last dimension is methodological that marks interaction subject-object in research field. These four dimensions encompass the territory of scientific and educational sense and can be used as a methodological framework in developing fundamental categories of a specific science.
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Liu, Yongli, Tengfei Yang, and Lili Fu. "A Partitioning Based Algorithm to Fuzzy Tricluster." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/235790.
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Fuzzy clustering allows an object to exist in multiple clusters and represents the affiliation of objects to clusters by memberships. It is extended to fuzzy coclustering by assigning both objects and features membership functions. In this paper we propose a new fuzzy triclustering (FTC) algorithm for automatic categorization of three-dimensional data collections. FTC specifies membership function for each dimension and is able to generate fuzzy clusters simultaneously on three dimensions. Thus FTC divides a three-dimensional cube into many little blocks which should be triclusters with strong coherent bonding among its members. The experimental studies onMovieLensdemonstrate the strength of FTC in terms of accuracy compared to some recent popular fuzzy clustering and coclustering approaches.
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Wen, Mingyun, and Kyungeun Cho. "Object-Aware 3D Scene Reconstruction from Single 2D Images of Indoor Scenes." Mathematics 11, no. 2 (2023): 403. http://dx.doi.org/10.3390/math11020403.
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Recent studies have shown that deep learning achieves excellent performance in reconstructing 3D scenes from multiview images or videos. However, these reconstructions do not provide the identities of objects, and object identification is necessary for a scene to be functional in virtual reality or interactive applications. The objects in a scene reconstructed as one mesh are treated as a single object, rather than individual entities that can be interacted with or manipulated. Reconstructing an object-aware 3D scene from a single 2D image is challenging because the image conversion process from a 3D scene to a 2D image is irreversible, and the projection from 3D to 2D reduces a dimension. To alleviate the effects of dimension reduction, we proposed a module to generate depth features that can aid the 3D pose estimation of objects. Additionally, we developed a novel approach to mesh reconstruction that combines two decoders that estimate 3D shapes with different shape representations. By leveraging the principles of multitask learning, our approach demonstrated superior performance in generating complete meshes compared to methods relying solely on implicit representation-based mesh reconstruction networks (e.g., local deep implicit functions), as well as producing more accurate shapes compared to previous approaches for mesh reconstruction from single images (e.g., topology modification networks). The proposed method was evaluated on real-world datasets. The results showed that it could effectively improve the object-aware 3D scene reconstruction performance over existing methods.
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Ladias, Anastasios, Theodoros Karvounidis, and Dimitrios Ladias. "Forms of communications in scratch and the SOLO taxonomy." Advances in Mobile Learning Educational Research 2, no. 1 (2022): 234–45. http://dx.doi.org/10.25082/amler.2022.01.007.
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This paper attempts to categorize parameters of communication between codes observed in the Scratch programming environment, using the SOLO taxonomy. These parameters are the form of communication (within an object, between different objects and to serve external devices scenarios), the mechanism used for communication (Polling and Interrupt techniques) and the ratio between the number of transmitters and receivers, which will be considered in a future work. Implementing this categorization in a two-dimensional table of representative codes for each case is formed. In this table, one dimension corresponds to the forms of communication and the other dimension to the mechanisms used. The ranking of the codes in each of the dimensions is done by means of the levels of the SOLO taxonomy. The table can be used to develop criteria for assessing the qualitative characteristics of the codes produced by students within a broader assessment system.
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Obukhov, A., and A. Volkov. "Algorithm Analysis and Assessment of the Information Objects in Adaptive Systems." Journal of Physics: Conference Series 2096, no. 1 (2021): 012028. http://dx.doi.org/10.1088/1742-6596/2096/1/012028.
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Abstract Analysis and assessment of the state of information objects is an urgent task in adaptive systems. Information about the current state of the system, its constituent components, the object of observation can be used in the decision-making process or in the implementation of control algorithms. However, an information object can have a complex structure or be characterized by many features, among which it is difficult to distinguish the main components. Therefore, an algorithm for analyzing and assessing the state of information objects is proposed, based on obtaining the compressed state of objects using neural networks. The resulting compressed state sufficiently characterizes the original object, but has a lower dimension. This can be used to speed up the analysis and assessment process and improve its accuracy in adaptive systems.
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Wachelke, Joao, Aline Demantova, and Luciane Guisso. "An Exploratory Study of the Perception of Ingroup Communication Relative to Social Representation Objects." Psychology of Language and Communication 16, no. 3 (2012): 201–11. http://dx.doi.org/10.2478/v10057-012-0014-8.
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Abstract Although social representations theory often assumes that communication is a condition for the existence of social representations, research rarely assesses related properties. The study aims at characterizing the perception of ingroup communication relative to topics that are potential social representation objects for a sample of Brazilian undergraduates. The participants completed single-item Likert scales assessing twelve social objects in three communication dimensions: perception of frequency of ingroup communication, perceived importance of ingroup opinion and estimated agreement with ingroup opinion. One-sample t-tests and repeated measures ANOVAs were carried out to compare the score of each topic with the dimension means and among themselves. The results showed that objects such as university course and friendship had high scores in all three dimensions and are suitable objects for basic research when communication assumptions are considered. The discussion addresses the need for preliminary characterization to assess the group-object relationship in social representations research.
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Persichetti, Andrew S., Geoffrey K. Aguirre, and Sharon L. Thompson-Schill. "Value Is in the Eye of the Beholder: Early Visual Cortex Codes Monetary Value of Objects during a Diverted Attention Task." Journal of Cognitive Neuroscience 27, no. 5 (2015): 893–901. http://dx.doi.org/10.1162/jocn_a_00760.
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A central concern in the study of learning and decision-making is the identification of neural signals associated with the values of choice alternatives. An important factor in understanding the neural correlates of value is the representation of the object itself, separate from the act of choosing. Is it the case that the representation of an object within visual areas will change if it is associated with a particular value? We used fMRI adaptation to measure the neural similarity of a set of novel objects before and after participants learned to associate monetary values with the objects. We used a range of both positive and negative values to allow us to distinguish effects of behavioral salience (i.e., large vs. small values) from effects of valence (i.e., positive vs. negative values). During the scanning session, participants made a perceptual judgment unrelated to value. Crucially, the similarity of the visual features of any pair of objects did not predict the similarity of their value, so we could distinguish adaptation effects due to each dimension of similarity. Within early visual areas, we found that value similarity modulated the neural response to the objects after training. These results show that an abstract dimension, in this case, monetary value, modulates neural response to an object in visual areas of the brain even when attention is diverted.
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Miao, J., H. Chapman, and D. Sayre. "Image Reconstruction from the Oversampled Diffraction Pattern." Microscopy and Microanalysis 3, S2 (1997): 1155–56. http://dx.doi.org/10.1017/s1431927600012666.
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In recording the intensity of the diffraction pattern from an arbitrary object, the phase is lost. This gives rise to the “phase problem”in reconstructing the object in crystallography, where the pattern is sampled at the Bragg peaks. It was shown by Bates and by Hayes that sampling at twice crystallographic density (2x oversampling) in each dimension is sufficient in principle to obtain a full reconstruction of the object. It was pointed out by Sayre in 1991 that the diffraction pattern of a non-crystalline object is continuous, therefore the pattern may be sampled on a finer scale, providing the additional information for the image reconstruction.The loss of phase corresponds to a loss of half the information. It seems therefore that 2x oversampling in each dimension (8x in three dimension) may be unnecessary. We find that oversampling 1.67x in each dimension is sufficient to obtain a reconstruction, even in the presence of noise. However our algorithm fails when we reduce the oversampling factor to 1.58x.
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Todd, Steven, and Arthur F. Kramer. "Attentional Guidance in Visual Attention." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 19 (1993): 1378–82. http://dx.doi.org/10.1518/107118193784162290.
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Earlier research has shown that a task-irrelevant sudden onset of an object will capture or draw an observer's visual attention to that object's location (e.g., Yantis & Jonides, 1984). In the four experiments reported here, we explore the question of whether task-irrelevant properties other than sudden-onset may capture attention. Our results suggest that a uniquely colored or luminous object, as well as an irrelevant boundary, may indeed capture or guide attention, though apparently to a lesser degree than a sudden onset: it appears that the degree of attentional capture is dependent on the relative salience of the varied, irrelevant dimension. Whereas a sudden onset is very salient, a uniquely colored object, for example, is only salient relative to the other objects within view, both to the degree that it is different in hue from its neighbors and the number of neighbors from which it differs. The relationship of these findings to work in the fields of visual momentum and visual scanning is noted.
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Karnath, Hans-Otto, André Mandler, and Simon Clavagnier. "Object-based Neglect Varies with Egocentric Position." Journal of Cognitive Neuroscience 23, no. 10 (2011): 2983–93. http://dx.doi.org/10.1162/jocn_a_00005.
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Different reference frames have been identified to influence neglect behavior. In particular, neglect has been demonstrated to be related to the contralesional side of the subject's body (egocentric reference frames) as well as to the contralesional side of individual objects irrespective of their position to the patient (object-based reference frame). There has been discussion whether this distinction separates neglect into body- and object-based forms. The present experiment aimed to prove possible interactions between object-based and egocentric aspects in spatial neglect. Neglect patients' eye and head movements were recorded while they explored objects at five egocentric positions along the horizontal dimension of space. The patients showed both egocentric as well as object-based behavior. Most interestingly, data analysis revealed that object-based neglect varied with egocentric position. Although the neglect of the objects' left side was strong at contralesional egocentric positions, it ameliorated at more ipsilesional egocentric positions of the objects. The patients showed steep, ramp-shaped patterns of exploration for objects located on the far contralesional side and a broadening of these patterns as the locations of the objects shifted more to the ipsilesional side. The data fitted well with the saliency curves predicted by a model of space representation, which suggests that visual input is represented in two modes simultaneously: in veridical egocentric coordinates and in within-object coordinates.
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Maimone, Angelo, and Giorgio Nordo. "A note on dimension and gaps in digital geometry." Filomat 31, no. 5 (2017): 1215–27. http://dx.doi.org/10.2298/fil1705215m.
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The notion of gap is quite important in combinatorial image analysis and it finds several useful applications in fields as CAD and computer graphics. On the other hand, dimension is a fundamental concept in General Topology and it was recently extended to digital objects. In this paper, we show that the dimension of a 2D digital object equipped with an adjacency relation A?(? ? {0,1g} can be determinated by the number of its gaps besides some other parameters like the number of its pixel, vertices and edges.
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Paul, Robert A. "Mirror, Mirror: Freud and the Reversible Self-Object Dyad." Journal of the American Psychoanalytic Association 69, no. 6 (2021): 1115–43. http://dx.doi.org/10.1177/00030651211058670.
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Freud is often negatively contrasted with object relations and relational theorists for holding to a metapsychology in which drives are understood as innate and predetermined in their development, are thought to follow the pleasure principle in a “hydraulic” manner, and are not seen as influenced by real objects. While that theory is certainly one dimension of Freud’s thinking, it is paralleled by another, quite different model positing a “mirror” relation in which affectively charged reversible self-object dyads, as opposed to purely internal dynamics, are the constituent elements of mental life. This view, more compatible with theories placing greater emphasis on the constitutive role of self-object relations, may further the reconciliation of Freudian and object-relational theories.
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Qin, Zengyi, Jinglu Wang, and Yan Lu. "MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8851–58. http://dx.doi.org/10.1609/aaai.v33i01.33018851.
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Localizing objects in the real 3D space, which plays a crucial role in scene understanding, is particularly challenging given only a single RGB image due to the geometric information loss during imagery projection. We propose MonoGRNet for the amodal 3D object localization from a monocular RGB image via geometric reasoning in both the observed 2D projection and the unobserved depth dimension. MonoGRNet is a single, unified network composed of four task-specific subnetworks, responsible for 2D object detection, instance depth estimation (IDE), 3D localization and local corner regression. Unlike the pixel-level depth estimation that needs per-pixel annotations, we propose a novel IDE method that directly predicts the depth of the targeting 3D bounding box’s center using sparse supervision. The 3D localization is further achieved by estimating the position in the horizontal and vertical dimensions. Finally, MonoGRNet is jointly learned by optimizing the locations and poses of the 3D bounding boxes in the global context. We demonstrate that MonoGRNet achieves state-of-the-art performance on challenging datasets.
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Qiang, Sun, and Hu Fei. "Research on the Transformation of User's Implicit Knowledge to Design Knowledge in Product Design." Indonesian Journal of Electrical Engineering and Computer Science 5, no. 2 (2017): 243. http://dx.doi.org/10.11591/ijeecs.v5.i2.pp243-249.
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The characteristics of the user’s implicit knowledge in product design and the relationship between the user’s implicit knowledge and design knowledge are discussed. The transformation model of user implicit knowledge to design knowledge is built. And the key technologies of it are analyzed. The four design dimensions which the transformation from user implicit knowledge to design knowledge is based on are proposed, namely, the design process dimension, the design object dimension, the organization dimension and the knowledge dimension. Taking household cleaner as an example, this paper utilizes the oral analysis method and the semantic differential method to analyze the transformation of user implicit knowledge to design knowledge, and validates the conversion model. It is helpful for improving the computer aided industrial design and household appliance products network collaborative design.