Different Kinds Of Objects Research Articles

A transforming flexahedron origami inspired gripper actuated by shape memory alloy

Abstract The transforming flexahedron origami (TFO) is a unique origami that combines the functions of fingers and palm, with a symmetrical distribution of four-finger structures and good shape adaptability. In this paper, inspired by the TFO configuration, a new type of reconfigurable gripper is designed. The kinematics and mechanics of the gripper are analyzed theoretically, and paper folding is used as the skeleton, thin film as the skin, shape memory alloy spring as the actuator, and active cooling is used to enhance the actuator efficiency. Different kinds of objects are used to test the gripping performance of the gripper, including shape adaptive ability and gripping robustness test, and the test results show that the gripper is with good gripping performance. The reconfigurable capability of the TFO configuration allows the hand gripper to have two gripping modes, adapting to the adaptive gripping of thin rod-like objects and curved objects, which is difficult to achieve with a single gripping mode. The TFO gripper provides a new way of thinking for the design of flexible and origami grippers in the future.

Kant a problematický pojem věci o sobě

The paper discusses Kant’s distinction between appearances and things in themselves, phenomena and noumena, and the problem of affection. The difference between appearances and things in themselves is understood as a methodological difference between two manners in which an object can be viewed: either as an appearance, or as a thing in itself. The author claims that this double-aspect view is a consequence of Kant’s conception of space and time as a priori forms of sensibility. The difference between phenomena and noumena, on the other hand, cannot be explained only by the double-aspect view; Kant understands it also as an ontological difference between two different kinds of objects. The paper concludes with a discussion of the problem of affection. The author claims that this problem is a pseudo-problem if we understand the difference between appearances and things in themselves as double-aspect view. Kant had maintained only an empirical affection. Passages in which Kant seems to advocate a transcendental affection can be brought in line with Kant’s critical philosophy.

Communication in multiplex transportation networks

AbstractComplex networks are made up of vertices and edges. The edges, which may be directed or undirected, are equipped with positive weights. Modeling complex systems that consist of different types of objects leads to multilayer networks, in which vertices in distinct layers represent different kinds of objects. Multiplex networks are special vertex-aligned multilayer networks, in which vertices in distinct layers are identified with each other and inter-layer edges connect each vertex with its copy in other layers and have a fixed weight $$\gamma >0$$ γ > 0 associated with the ease of communication between layers. This paper discusses two different approaches to analyze communication in a multiplex. One approach focuses on the multiplex global efficiency by using the multiplex path length matrix, the other approach considers the multiplex total communicability. The sensitivity of both the multiplex global efficiency and the multiplex total communicability to structural perturbations in the network is investigated to help to identify intra-layer edges that should be strengthened to enhance communicability.

Automatic Change Detection in Interwoven Sequences: A Visual Mismatch Negativity Study.

In this study, we investigated whether the cognitive system, known to be able to register regular visual event sequences and the violation of these sequences automatically, had the capacity of processing two sequences simultaneously. To this end, we measured the visual mismatch negativity (vMMN) component of ERPs as interwoven event sequences simultaneously presented to the left and right side of the screen. One of the sequences consisted of geometric patterns (diamonds); the other, photographs of human faces. In successive cycles, parts of the stimuli vanished and then re-appeared (the OFF/ON method). The vanishing parts served as either standard (frequently vanishing parts) or infrequent (deviant) events, but these events were task-irrelevant. The 20 adult participants (age 21.40 ± 2.72 years) performed a visual tracking task, with the OFF/ON task being a passive oddball paradigm. According to the results, both OFF and ON events, and both diamond and face stimuli elicited the vMMN component, showing that the system underlying this activity is capable of processing two event sequences if the sequences consist of fairly different kind of objects as stimuli. The sLORETA analysis showed that the source of vMMN was more frequent contralaterally to the deviant event, and the sources comprised loci from ventral and dorsal structures, as well as some anterior loci.

Machine Learning for Biological Design.

We briefly present machine learning approaches for designing better biological experiments. These approaches build on machine learning predictors and provide additional tools to guide scientific discovery. There are two different kinds of objectives when designing better experiments: to improve the predictive model or to improve the experimental outcome. We survey five different approaches for adaptive experimental design that iteratively search the space of possible experiments while adapting to measured data. The approaches are Bayesian optimization, bandits, reinforcement learning, optimal experimental design, and active learning. These machine learning approaches have shown promise in various areas of biology, and we provide broad guidelines to the practitioner and links to further resources.

Dreams and reality in the tubuan and the corporation

Abstract Beginning with a dream encounter with the tubuan, an ancestral spirit in Papua New Guinea, this article questions conventional anthropological framings that posit a sharp distinction between Western humanist ontologies and non-Western or indigenous ontologies. The article argues that non-human entities essential for human existence come in and out of being across stereotypical cultural divides and that the creation and acknowledgment of non-human agents is as essential for capitalist modernity as it is for any other form of human existence. Non-human “Objects” as diverse as tubuans and corporations are essential for the construction of human subjectivity as much as they are its outcome. The perspectival construction of such different kinds of object is a process by which humans continuously refashion themselves into different kinds of Subjects.

Tracking and Grasping of Moving Objects Using Aerial Robotic Manipulators: A Brief Survey

Unmanned Aerial Vehicles (UAV) has evolved in recent years, their features have changed to be more useful to the society, although some years ago the drones had been thought to be teleoperated by humans and to take some pictures from above, which is useful; nevertheless, nowadays the drones are capable of developing autonomous tasks like tracking a dynamic target or even grasping different kind of objects. Some task like transporting heavy loads or manipulating complex shapes are more challenging for a single UAV, but for a fleet of them might be easier. This brief survey presents a compilation of relevant works related to tracking and grasping with aerial robotic manipulators, as well as cooperation among them. Moreover, challenges and limitations are presented in order to contribute with new areas of research. Finally, some trends in aerial manipulation are foreseeing for different sectors and relevant features for these kind of systems are standing out.

Semiotic Analysis of the Little Mermaid Movie Poster Using Peirce (1996)

Movie poster has a commercial value and is used to advertise the movie. This research is conducted to analyze the sign depicted as well as the meaning from the Little Mermaid movie poster. This research used qualitative descriptive analysis method to explain the sign and its meaning. Furthermore, Semiotic from Charles Sander Peirce is used to analyze the sign and its meaning. To support the analysis, various journals and books are used as the reference. The result of this study indicated that there are two types of signs found in movie posters, namely qualisign and sinsign. The Little Mermaid movie poster also contained two different kinds of objects, namely Icons and Indexes, where the index is also further divided into spatial and temporal indexes. The last thing from the poster found was the interpretant which is the connection and the meaning of signs and objects. From the result, it can be concluded that each sign that depicted in the movie poster is represented well, not only through the visual one, but also the non-verbal one. It is because we could also get an official information on where we can find or see the movie, which is very crucial for the movie poster.
 Keywords: Semiotics, Peirce, Sign, Object, Interpretant

Developing an Object Detection and Gripping Mechanism Algorithm using Machine Learning

Localizing and recognition of objects are critical problems for indoor manipulation tasks. This paper describes an algorithm based on computer vision and machine learning that does object detection and gripping tasks. Detection of objects is carried out using a combination of a camera and depth sensor using a Kinect v1 depth sensor. Moreover, machine learning algorithms (YOLO) are used for computer vision. The project presents a method that allows the Kinect sensor to detect objects' 3D location. At the same time, it is attached to any robotic arm base, allowing for a more versatile and compact solution to be used in stationary places using industrial robot arms or mobile robots. The results show an error of locating an object to be 5 mm. and more than 70% confidence in detecting objects correctly. There are many possibilities in which this project can be used, such as in industrial fields, to sort, load, and unload different kinds of objects based on their type, size, and shape. In agriculture fields, to collect or sort different kinds of fruits, in kitchens and cafes where sorting objects like cups, bottles, and cans can occur. Also, this project can be added to mobile robots to do indoor human services or collect trash from different places.

Real-Time Object Detection

Object detection is a pivot and prime process in various applications and procedures such as surveillance, classification, recognition and prediction including image retrieval, computer visioning, video streams and many more. Real-time object detection requires identification of different kinds of objects specified in images, videos or live feed streams. It is basic and important to maintain the level of accuracy along with quick inference. This paper proposes an algorithm to perform the real-time object detection typically leverage machine learning, deep learning to produce effective results. The goal is to power machines to identify defined objects in a live feed, videos or images and achieve desired outcomes. The algorithm used is YOLO version3 (YOLOv3). It presents a fast and accurate object detection method with higher performance. To create reliable applications for resolving practical problems, computer vision techniques like tracking and counting are combined. It is the improved proposal to many machine learning algorithms like CNN, RNN, YOLO v1 and v2. Some of the applications are traffic surveillance, vehicle detection, face detection and recognition, number-plate detection, overspeed tracking and more. The factors included are segmentation, accuracy, precision, fastness, performance and efficiency. It is useful to meet the needs of growing technology.

Energy Efficient Secure-Trust-Based Ring Cluster Routing in Wireless Sensor Network

Typically, wireless sensor networks (WSNs) are used to monitor as well as detect different kinds of objects in realistic monitoring, where security remains as a major confront. Estimation of node trust is established to be an effectual way of enhancing the security, thus aiding in nodes collaboration and decision-making in wireless and wired networks. Nevertheless, conventional methods of trust management generally highlight on trust modeling and fail to notice the overhead issues. In this paper, a security aware ring cluster routing technique is introduced. The routing is undergone based on the multi-objectives including trust (security) parameters, energy, and distance. Here, the trust parameters include both the direct trust evaluation and indirect trust evaluation. Thereby, the lifetime of the network gets maximized even with secured manner. An innovative Self-Adaptive Deer Hunting Optimization (SA-DHO) is presented in this study because the optimization plays a significant role in selecting the neighbors as ring nodes. Finally, the superiority of the suggested approach is demonstrated in relation to various measures.

Challenging the binary principles : LGBTQ+ Wiccan practice in the Berkano Wicca tradition in Hungary

Wicca is one of the fast-growing New Religious Movements (NRM) of the 21st century, although its roots can be traced back to the early 20th century. This article focuses on the analysis of Hungarian LGBTQ+ Wicca practitioners' practices in the Berkano Tradition, with a special interest in the representative aspects, such as altars and home altars. This element of the material dimension will illustrate how LGBTQ+ practitioners challenge the binary aspects of Wicca and how they utilize the liminal aspects of gender. With guided interviews, this article illustrates and provides a deeper understanding of how the traditional Wicca binarity of a God and Goddess is changed according to the given individuals' sexual orientations and how these individuals innovate their altars and reinterpret the traditional Wicca worldview and religious practice to create a closer, more personal religious attachment. With respect to gender and the spectrum of sexuality, the Berkano Tradition and their Wicca beliefs accommodate their identity very well; most of them skew and modify the rituals and praxis in their own way, so that they can be the most comfortable and at ease with their religious belief. My original interpretation that LGBTQ+ Wiccans use the adjective of Wicca because it is a belief system that is universalistic yet so individualistic is correct because they use Wicca as a tool of self-expression regardless of their sex, gender, and or sexual identity. They use different kinds of objects for their ritual to accommodate their needs; they also reinvent and reinterpret their Wiccan beliefs for their own good, so that they can be the best version of themselves. This article then closes with a positive statement that Berkano Tradition's Wicca is a religion that can be modified accordingly to fit within the framework of the given individuals/members.

DroMOD: A Drone-Based Multi-Scope Object Detection System

Drone-based Multi-scope Object Detection (DroMOD) system targets an efficient detection of different kinds of objects using drones. DroMOD relies on a cross-platform framework where objects’ detection tasks are shared between the drone and the server. The drone stores a set of reference images about the supervised zone. Each time an image is captured with a well-defined spatial frequency, it is compared to its reference image and only ‘trigger images’ showing a change from the reference image are sent to the server. A Big Data streaming platform is deployed on server-side for scalable and efficient real-time object detection processing based on Deep Learning (DL) models. DroMOD system architecture allows for dynamically upgrading the DL models so that newly considered objects to detect can be added to the drone mission on the fly without modifying the drone embedded software. When compared to existing alternatives, DroMOD presents the best compromise between (i) object detection accuracy, (ii) real-time processing and (iii) resource efficiency. Since only lightweight processing is performed on the drone-side, memory and computation are highly optimised on drones. Furthermore, the drone-side image filtering is independent of the objects to detect and the object detection programs are deployed and updated only on the server-side which allows for multi-target detection with minimal engineering efforts and expertise.

Application and Practice of Artificial Intelligence Technology in Interior Design

Abstract In order to enhance the technical innovation of interior design, this paper proposes an interior design approach based on artificial intelligence technology to optimize the overall scheme of interior design. The shape and contour features of different kinds of objects in the interior are modeled by visual information design, the information components of the visual images are determined using correlation scale analysis, and the maximum grayscale values are marked to implement 3D visual feature reconstruction. The reconstruction process is based on accurately aligned point cloud data, and parametric surface reconstruction is implemented for the target objects to obtain a more accurate 3D interior design model and make the interior scene simulation more realistic. In order to verify the effectiveness of the application of the interior design method based on artificial intelligence technology, simulation design experiments are conducted. The results show that the multi-element fusion (TBG) consideration characteristics of the proposed method are more uniformly distributed. The visual saturation and stereo image design levels reach 98% and 88.51%, respectively. The average error result is 0.06, which are both better than the 3D vision-based interior design method and the multi-element fusion-based interior design method, and have higher design reliability. It can be seen that the interior design method based on artificial intelligence technology helps to enhance the effect of intelligent application of interior design and promotes the optimization and upgrading of the interior design working experience.

Is biorobotics science? Some theoretical reflections

In this paper, we ask one fairly simple question: to what extent can biorobotics be sensibly qualified as science? The answer clearly depends on what ‘science’ means and whether what is actually done in biorobotics corresponds to this meaning. To respond to this question, we will deploy the distinction between science and so-called technoscience, and isolate different kinds of objects of inquiry in biorobotics research. Capitalising on the distinction between ‘proximal’ and ‘distal’ biorobotic hypotheses, we will argue that technoscientific biorobotic studies address proximal hypotheses, whilst scientific biorobotic studies address distal hypotheses. As a result, we argue that bioroboticians can be both considered as scientists and technoscientists and that this is one of the main payoffs of biorobotics. Indeed, technoscientists play an extremely important role in 21st-century culture and in the current critical production of knowledge. Today’s world is increasingly technological, or rather, it is a bio-hybrid system in which the biological and the technological are mixed. Therefore, studying the behaviour of robotic systems and the phenomena of animal-robot interaction means analysing, understanding, and shaping our world. Indeed, in the conclusion of the paper, we broadly reflect on the philosophical and disciplinary payoff of seeing biorobotics as a science and/or technoscience for the increasingly bio-hybrid and technical world of the 21st century.

Mesoscopic States of Light for the Detection of Weakly Absorbing Objects

Over the past twenty years, different imaging techniques have been proposed and implemented in order to reconstruct the images of different kinds of objects, including faint ones. In this work, we exploit the mesoscopic intensity domain to prove that the determination of the transmittance efficiency of an object can be obtained by considering the calculation of the noise reduction factor in the case of a multi-mode pseudothermal state divided at a balanced beam splitter and detected by photon-number-resolving detectors. The good quality of the experimental results suggests that this strategy can be extended to the determination of a matrix of different transmittance values by means of arrays of photon-number-resolving detectors.

Experimental setting and protocol impact human colour preference assessment under multiple white light sources.

Psychophysical experiment is the most straightforward and reliable way to investigate the impact of lighting on visual colour perception. In this study, a series of experiments were conducted in order to investigate the impact of experimental setting and protocol on the obtained conclusions in visual tests regarding human preference on object colour in applied lighting research. Four light sources of 5,500 K, with Duv values of -0.01, 0, 0.015, and 0.02, were used to illuminate different kinds of objects including blue jeans, fruit and vegetables, bread, artware, fresh pork, and skin tones. The use of those experimental light sources and objects was to provide control study for our former research by deliberately changing certain experimental setup and protocol and testify the robustness of our former conclusions. The results show that some of our former findings, like the dominant impact of lighting on colour preference, the visual cognition process of light booth experiments as well as the correlation between the whiteness of lighting and colour preference, were found to be valid in typical light booth experiment. The impact of experimental object turned out to be much stronger under the newly designed protocol and the significance of sex difference on colour preference judgment was found to vary with experimental setup. These new findings highlight the influence of experimental setting and protocol on the validity of research findings, which we believe, could provide deeper understanding for the psychophysical results of current colour preference studies.

Adhesion State Estimation for Electrostatic Gripper Based on Online Capacitance Measure

Electroadhesion is a suitable technology for developing grippers for applications where fragile, compliant or variable shape objects need to be grabbed and where a retention action is typically preferred to a compression force. This article presents a self-sensing technique for electroadhesive devices (EAD) based on the capacitance measure. Specifically, we demonstrate that measuring the variation of the capacitance between electrodes of an EAD during the adhesion can provide useful information to automatically detect the successful grip of an object and the possible loss of adhesion during manipulation. To this aim, a dedicated electronic circuit is developed that is able to measure capacitance variations while the high voltage required for the adhesion is activated. A test bench characterization is presented to evaluate the self-sensing of capacitance during different states: (1) the EAD is far away from the object to be grasped; (2) the EAD is in contact with the object, but the voltage is not active (i.e., no adhesion); and (3) the EAD is activated and attached to the object. Correlation between the applied voltage, object material and shape and capacitance is made. The self-sensing EAD is then demonstrated in a closed-loop robotic application that employs a robot manipulator arm to pick and place objects of different kinds.

Perron communicability and sensitivity of multilayer networks

Modeling complex systems that consist of different types of objects leads to multilayer networks, where nodes in the different layers represent different kinds of objects. Nodes are connected by edges, which have positive weights. A multilayer network is associated with a supra-adjacency matrix. This paper investigates the sensitivity of the communicability in a multilayer network to perturbations of the network by studying the sensitivity of the Perron root of the supra-adjacency matrix. Our analysis sheds light on which edge weights to make larger to increase the communicability of the network, and which edge weights can be made smaller or set to zero without affecting the communicability significantly.

The origins of the shape bias: Evidence from the Tsimane'.

In the United States, children often generalize the meaning of new words by assuming that objects with the same shape have the same name. We propose that this shape bias is influenced by children's exposure to objects of different categories (artifacts and natural kinds) and language to talk about them. We present a cross-cultural study between English speakers in the United States and Tsimane' speakers in the Bolivian Amazon. We found that U.S. children and adults were more likely to generalize novel labels by shape rather than by material or color, relative to Tsimane' participants. Critically, Tsimane' children and adults systematically avoided generalizing labels to objects that shared no common features with the novel referent. Our results provide initial evidence that the relative exposure to objects of different kinds and language to talk about them can lead to cross-cultural differences on object name learning. (PsycInfo Database Record (c) 2022 APA, all rights reserved).