Reviewerly/exHarmony huggingface dataset:
STUDENT AS A PARTNER IN THE CONTEXT OF PROJECT EDUCATION

The article is dedicated to the analysis of a student’s role as a partner in educational process. It is grounded that sense of modern crisis in education emerged from deep contradiction between traditionally formed, essentially conservative paradigm of educational process and explosive improvement of life conditions in modern society. It is underlined that recognition of a student as a partner, as an equal participant of a dialogue becomes meaningful within system of higher education. Consideration of a student as a partner in the context of project education is underlined by taking into account other’s subject position. It becomes «technically necessary» under conditions of emerging digital civilization to convert basic knowledge into effective learning as well as to program formation of such competences, necessary for a graduating student to solve professional tasks creatively. Adjustment of educational paradigm actually forming «soft skills» primarily enables shift of education processes from traditional subject-object “stuffing students up” with information to subject-subject “students’ self-education management”; students have their research, organizational and creative (in emotional, artistic and intellectual creativity forms) tasks. Such format of educational process organization is already used and known in educational field as project education, which forms valuable cross-functional skills. The offered project education can be a form of partner approach in subject-subject educational cooperation. Considering a student as a partner, a teacher motivates both increasing of hard skills and development of soft skills.
Tracking of a hornet by a drone with vision sensors

In recent years, hornets appear in urban areas and it is regarded as a problem since the hornets attack human. It is also dangerous to destroy hornet nests since hornets have poison and they attack the people who approach to the nest. In this research, finding hornet`s nests by tracking hornets by combing computer vision and aerial drone is proposed.
Controlling Atomic Qubits with Electromagnetic Vortices

We predict behavior of atomic qubits in response to electromagnetic vortices, known as twisted photons: They can induce △m=±2 transitions between atomic levels and Zeeman sub-levels, while suppressing △m=±1 transitions only allowed for plane waves.
Blockchain Technology in the Health Data Ecosystem : A Qualitative Study on the Role of Blockchain for Health Data

During the last few years, there has been increasing interest in making medical records more centered around patients. Empowering the patient more in the care process has proven to increase the qua ...
ON THE PHYSICAL NATURE OF ENTANGLED STATES

Analysis of new experiments with entangled states of objects (ESO) has shown: ESO is the result of information interactions of entangled objects in combination with information resonance; ESO arises also between materially different purely informational twins; the sharpness of the resonance peak is extremely high; for a clearly defined the ESO, an extremely accurate coincidence of resonating information is required; the physical understanding of the thought actions, the crowd or herd effects and the meaning of the creating ESO procedures has obtained. This gives the innovative technologies.
Inhibition-augmented ConvNets

Convolutional Networks (ConvNets) suffer from insufficient robustness to common corruptions and perturbations of the input, unseen during training. We address this problem by including a form of response inhibition in the processing of the early layers of existing ConvNets and assess the resulting representation power and generalization on corrupted inputs. The considered inhibition mechanism consists of a non-linear computation that is inspired by the push-pull inhibition exhibited by some neurons in the visual system of the brain. In practice, each convolutional filter (push) in the early layers of conventional ConvNets is coupled with another filter (pull), which responds to the preferred pattern of the corresponding push filter but of opposite contrast. The rectified responses of the push and pull filter pairs are then combined by a linear function. This results in a representation that suppresses responses to noisy patterns (e.g. texture, Gaussian, shot, distortion, and others) and accentuates responses to preferred patterns. We deploy the layer into existing architectures, (Wide-)ResNet and DenseNet, and propose new residual and dense push-pull layers. We demonstrate that ConvNets that embed this inhibition into the initial layers are able to learn representations that are robust to several types of input corruptions. We validated the approach on the ImageNet and CIFAR data sets and their corrupted and perturbed versions, ImageNet-C/P and CIFAR-C/P. It turns out that the push-pull inhibition enhances the overall robustness and generalization of ConvNets to corrupted and perturbed input data. Besides the improvement in generalization, notable is the fact that ConvNets with push-pull inhibition have a sparser representation than conventional ones without inhibition. The code and trained models will be made available.
PackDet: Packed Long-Head Object Detector

State-of-the-art object detectors exploit multi-branch structure and predict objects at several different scales, although substantially boosted accuracy is acquired, low efficiency is inevitable as fragmented structure is hardware unfriendly. To solve this issue, we propose a packing operator (PackOp) to combine all head branches together at spatial. Packed features are computationally more efficient and allow to use cross-head group normalization (GN) at handy, leading to notable accuracy improvement against the common head-separate GN. All of these are only at the cost of less than 5.7% relative increase on runtime memory and introduction of a few noisy training samples, however, whose side-effects could be diminished by good packing patterns design. With PackOp, we propose a new anchor-free one-stage detector, PackDet, which features a single deeper/longer but narrower head compared to the existing methods: multiple shallow but wide heads. Our best models on COCO test-dev achieve better speed-accuracy balance: 35.1%, 42.3%, 44.0%, 47.4% AP with 22.6, 16.9, 12.4, 4.7 FPS using MobileNet-v2, ResNet-50, ResNet-101, and ResNeXt-101-DCN backbone, respectively. Codes will be released.( https://github.com/kding1225/PackDet )
Variational Autoencoder with Tsallis Statistics for Disentangled Representation Learning

This paper proposes a novel variational autoencoder derived from Tsallis statistics, named q-VAE. Starting from the viewpoint of Tsallis statistics, a new lower bound of the q-VAE is derived to maximize likelihood of the data sampled, which has a potential for disentangled representation learning. As another advantage of the q-VAE, it does not require independency between the data. The q-VAE is demonstrated in learning latent dynamics of a nonlinear dynamical simulation. As a result, the q-VAE achieves stable and accurate long-term state prediction from the initial state and the actions at respective times.
Transforming Pseudorandomness and Non-malleability with Minimal Overheads

Author(s): Soni, Pratik Pramod | Advisor(s): Tessaro, Stefano; Lin, Huijia (Rachel) | Abstract: In this thesis, we investigate the cost of transforming “weaker” or “less-structured” variants of a cryptographic primitive into a “stronger” or “more structured” variant of the same primitive. We conduct the study via the lens of two fundamental security properties:Pseudrandomness is critical to almost all of cryptography, and pseudorandom functions (PRFs) and pseudorandom permutations (PRPs) are powerful primitives enabling simple solutions for fundamental problems in secret-key cryptography. Their existence from general assumptions (e.g., one-way functions) is well-studied. But here we investigate new ways of building them with the goal of efficiency and achieving stronger security. First, we consider building PRFs from non-adaptive PRFs (naPRFs), i.e., PRFs which are secure only against distinguishers issuing all of their queries at once. Known constructions either make $\omega(1)$ calls to an underlying naPRF or incur an undesirable super-polynomial loss in security. We provide the first evidence for this state of affairs by showing that a large class of one-call constructions cannot be proved to be a secure PRF under a black-box reduction to the (polynomial-time) naPRF security of the underlying function. Second, we revisit the question of transforming PRFs to PRPs which are used to reason about the security of block-ciphers when the underlying key is kept secret. However, in practice block-ciphers are also used in settings where the key is known to the adversary. To address this disparity, we introduce the first, plausible extensions of pseudorandomness to the known-key setting and provide secure constructions of PRPs which make two calls to an underlying appropriate PRF. This matches the complexity of PRF to PRP transformations in the secret-key setting.Non-malleability captures security of cryptographic protocols against man-in-the-middle attacks and non-malleable commitments (NMC) are paragon examples of non-malleable protocols. Resolving the round complexity of NMC, a fundamental measure of cost, has remained a fascinating open question and barriers to achieving two-round (and non-interactive) solutions from polynomial-time assumptions were proved in 2013. We provide the first constructions of two-round and non-interactive NMC under sub-exponential time well-studied assumptions, crucially exploiting the synergy between different axes of hardness to circumvent the above impossibility. At heart, our result presents a round-preserving transformation (i.e., incurring no overhead in number of rounds) from NMC on $t$-bit identities to $\Omega(2^t)$-bits where the length of identities is a measure of a protocol's “non-malleability”. Previous such amplifications incurred additive blow-up in the round-complexity.
Practice of Mechatronics Project Based Learning Exercise on Robot Hand

We conduct Project Based Learning training for third-year students in the robotics course of the Department of Mechanical Engineering. The purpose of this lecture is to develop engineering design skills. Students learn how to design and solve problems that meet constraints, and acquire knowledge application, creativity, communication skills, and teamwork skills. In 2019, a new theme on robot hands was launched. The task is to hold and transport the tennis ball, ping-pong ball, and fried sample to be gripped with one kind of hand. As milestones, a plan announcement, an interim announcement, a demonstration, and a final announcement were set, and the production progress was managed. In this report, we report on the implementation status, products, and impressions of students.
Recent microseismicity observed at Hekla volcano and first velocity inversion results

&amp;lt;p&amp;gt;Hekla is one of the most active and dangerous volcanoes in Iceland presenting a high hazard to air travel and a growing tourist population. Until now the pre-eruption warning time at Hekla is only around one hour.&amp;amp;#160; In 2018 we installed the real-time seismic network HERSK directly on Hekla's edifice. If microseismicity on Hekla increases prior to the next eruption the network could possibly provide a means to improve early warning. In addition it is hoped that HERSK will better our understanding of the processes driving the evolution of pre-eruptive seismicity. The configuration and tuning of a dedicated real-time detection and location system requires the determination of a suitable velocity model and station corrections. We present a catalogue of recently detected local events that we use to invert for a 1-D velocity model. We observe significant variations in station corrections and conclude that it is important to account for these in the real-time detection and location system which we are developing based on the SeisComp3 software.&amp;lt;/p&amp;gt;
LibGuides: Archival Skills: Transcription

Guide to the skills required to successfully work with archives Guide to transcription conventions when working with archives
Stair-climbing feeling display using a force feedback by artificial muscles

The development of content using VR technology is increasing and is used in various industries. There are a lot of studies that take the physical characteristics into consideration, such as walking. In this paper, we develop a virtual system that a user can climb up the stairs in a virtual environment by presenting the muscle sense of the leg with artificial muscles. Based on the results of muscle activity and motion analysis during actual stair climbing, we set the intensity and timing of the force provided by the artificial muscles. We evaluate how the participants feel by a subjective evaluation experiment.
High-Accuracy Flatness Measurement of Large Structures using Range Images

For accurate flatness measurement of large structures, we propose a method to capture wide and accurate range images by using time-series range images of multiple viewpoint. Given the size of the structure and the measurement accuracy of the sensor, this method calculates the number of divisions and the measurement time. After that, the proposed method made it possible to measure with an accuracy of 0.024 mm to white board. After analyzing the relationship between the accuracy of distance measurementσand the flatness error ΔF, The simulation revealed that ΔF = 11.174σ.
A Simultaneous Face and QR-code Collation System Using High-speed Active Vision

We develop a two-factor collation system that can simultaneously authenticate face and QR-code information by tracking them into magnified images with high-speed pan-tilt zooming. It consists of an ultrafast mirror-drive telephoto pan-tilt camera to obtain zoom-in images around a human face and hands for precise authentication and a wide-view camera for human pose estimation. Its effectiveness was verified by showing simultaneous collation results when a person had a smart phone displaying a QR-code at 5 m distance from the camera system.
Motion Detection System for a Violin-playing Robot Using Reinforcement Learning

We are developing a robot that can play the violin and communicate with humans by playing it expressively. In this study, we propose a motion detecting system for a violin-playing robot using reinforcement learning. To generate suitable motion for the robot and adjust the pressure of sound, the system must be capable of determining the speed and moving direction of the bow for each musical note. We adopted reinforcement learning with value function approximation to accomplish this. The variables are time, target sound pressure, and the initial position of the bow for each note. The rewards are determined by the feasibility of motion and error between the target sound pressure and that produced by the performance of the robot. We conducted experiments using this system under different conditions of discount rate γ and exploration rate ε. The results showed that available motion was generated through several episodes of learning.
Deep Learning Based Compressive Imaging Method for High Precision Adaptive Null Interferometric Testing of Aspheric and Freeform Mirrors

High precision adaptive null interferometric testing of aspheric and freeform mirrors using SLM is limited by pixel pitch. Deep learning based compressive imaging has been proposed. Wavefront accuracy similar to non adaptive CGH is obtained.
SLAM-Integrated Kinematic Calibration with Spherical Cameras for Industrial Manipulators

Kinematic calibration of industrial manipulators is required for accurate work. Moreover, it is desirable to measure the environment around the manipulator for collision avoidance. However, it takes long time for kinematic calibration and measurement of the environment around the manipulator. In our research group, we study SLAM-integrated kinematic calibration, which can simultaneously calibrate the kinematic parameters of an industrial manipulator and create a map of the environment around the manipulator. Since RGB-D cameras are used in our previous method, there are restrictions on how to move the manipulator in calibration. In this paper, the restriction is relaxed by performing the SLAM-integrated kinematic calibration using spherical cameras. The new method is tested on a virtual environment.
Perbaikan Kualitas Citra Menggunakan Metode High Pass Filter dan Sharpening

Many events can be recorded or immortalized as a reminder, the current image is the need of many users, users often distort the quality of the image so that the object in the image looks unclear so that a lot of information from the image becomes less clear to see. Image with unclear sharpness becomes less clear, the presence of image sharpening will make the image quality better. Image enhancement is a good step to produce high quality images, high pass filters and sharpening the right finish to produce sharp and quality images. Increasing the exposure in the image makes the image brighter and of higher quality.
Localization in tunnel for periodic inspection of tunnel

In japan, robot technology for efficient tunnel inspection is required. MIMM is one of the tunnel inspection systems using robot technology. To find the deformation of the tunnel surface, it is required to analyze the difference between the two periods survey result. For that purpose, it is necessary to aligns two point clouds in precisely. But the cumulative error is caused by GNSS/IMU positioning system make it difficult to align two point clouds. Hence, there are needs for more precise positioning system for tunnel survey. Our purpose is to perform high-accuracy positioning system for tunnel survey. We proposed a new positioning method using tunnel facilities. Through evaluation test, it was confirmed that the accuracy of the proposed method was higher than that of the conventional method. In this paper, we detail to the method and evaluation test result.
Robot arm system optimized for mounting on mobile robots

We have proposed and verified a small mobile robot that can travel on rough terrain and can be used for research on driving control and application verification. In our application research on mobile robots, we found that we needed a mobile robot with a robot arm. In this paper, we propose a robot arm system that can be easily installed with minimal design changes for mobile robots. Then, we report the outline of the prototype of the robot arm we developed and the result of mounting the robot arm on a mobile robot.
Posture Recognition with Monocular Camera and Analysis in the Long Jump

This paper proposes an image analysis method of recorded images of long jump captured with monocular camera. The posture at the moment of jumping is automatically recognized based on the running lanes and the spring board, and the various features for analysis at that moment are extracted and analyzed. The proposed method is applied to the actual data of experienced players and some features are found to be correlated to the jumping records.
Construction of automatic chair transport system

In schools and other educational institutions, there are many opportunities to carry classroom chairs according to purpose. Some chairs are on casters, but educational institutions typically use stacking chairs or folding chairs. Although effective in terms of storage, it must be lifted by hand during transportation, increasing the burden on workers. Automation of baggage transport in warehouses has improved significantly, but little attention has been given to chair transport automation. Self-propelled chairs were developed, but despite the need, automatic transport of chairs without casters was not noted. In this study, we constructed an automatic chair movement system using an omnidirectional mobile robot. Recognize the chair by image processing and bring the robot closer. After the robot dives under the chair, the chair is lifted and transported using a lifting device attached to an omnidirectional robot.
Service Plan of Service Composition in Pervasive Computing: A Systematic Literature Review

Service composition made by arranging set of services to achieve specific goals from user task. The steps taken in building service composition are obtained from the service life cycle, consisting of definition, selection, deployment, and execution phase. Service composition is more complicated in pervasive computing since service is created by a simple task deployed in distributed devices. The devices in the pervasive environment can be a service itself. Several challenges are faced in making service composition in pervasive computing, such as limited system knowledge and resource, unpredictable service availability, and heterogeneity. Hence, it requires service plan that can mapping user requests containing the planning goal and the composition corresponds to the plan. This planning process is carried out by the transformation of user requirements and business processes. In this paper, we adopt systematic literature review (SLR) and define some research question (RQ) to research in various database journal. Twenty-two articles were selected based on the search result and then reviewed. We extracted and summarized service composition using planning approach and find the implementation area in pervasive computing.
Online Parameter Adjustment of Biped Running Robot for e-Sports

In this study, we are developing biped walking robot and biped running robot based on passive dynamical mechanism simultaneously. We have efficiently turned the cycle of making, testing, and improving by combining wire drive, elastic element and wire restraint with spring and rearranging them easily. In addition, we have improved walking and running performance by separating the inseparable mechanism and control skill by remote manual wire operation. As the next step, we are promoting autonomy by performing torque control using an actuator. In this paper, we report that we realized better running condition by adjusting the control parameters online while observing the state of the biped running robot.
LibGuides: Finding Academic Articles in OC Library databases: Home

My professor says: use only academic/peer-reviewed articles as sources. What does that mean and how do I do it? Here's a general guide.
I’ve got a construction looks funny – representing and recovering non-standard constructions in UD

The UD framework defines guidelines for a crosslingual syntactic analysis in the framework of dependency grammar, with the aim of providing a consistent treatment across languages that not only supports multilingual NLP applications but also facilitates typological studies. Until now, the UD framework has mostly focussed on bilexical grammatical relations. In the paper, we propose to add a constructional perspective and discuss several examples of spoken-language constructions that occur in multiple languages and challenge the current use of basic and enhanced UD relations. The examples include cases where the surface relations are deceptive, and syntactic amalgams that either involve unconnected subtrees or structures with multiply-headed dependents. We argue that a unified treatment of constructions across languages will increase the consistency of the UD annotations and thus the quality of the treebanks for linguistic analysis.