Reviewerly/exHarmony huggingface dataset:
Marks Recorded in Co-curricular Registration System using QR Code

The co-curricular is important for students at The Centre of Foundation Studies, Universiti Teknologi MARA Dengkil to score. This is because it contributes 10% of the merits in the students’ applications for their degree program as set up by Bahagian Pengurusan Kemasukan Pelajar (UPU). In each new cohort, almost 5,000 students registered at this academic center. Previously, the grading process was done manually based on the number of activity coupon collected by the students in their co-curricular activity card. The use of co- curricular activity card had some challenges such as involving high cost, loss of coupons and activity cards, stolen activity cards and it was difficult for the students to monitor their achievement throughout their study. The process of recording thousands of students’ marks took place almost everyday, hence it must be improvised. To solve the problems mentioned, the CRS developers had came up with the idea of using QR code as an approach to ease and speed up the scoring process. Hence, this system helps supervisors to reduce human error and ease users (supervisors and administrators). Besides, the students could monitor their co-curricular total score from time to time to know how well they are doing so far. As a result, it has fruitfully benefited to almost 5,000 students, supervisors and administrator at the Student Affairs Division (HEP) as well as reducing the cost of buying co-curricular activity cards.
E-Pro: Euler Angle and Probabilistic Model for Face Detection and Recognition

The high priority to give facial appearance is common nature among human as it reflects the person nature on first appearance. Every individual has specific and unique facial appearance and this unique feature is considered as vital information. This research work proposed a face detection and recognition approach termed as E-Pro identifies the person based on the facial features obtained from the images. Proposed model can be utilized in various domains such as surveillance, authentication, attendance and crowd monitoring etc. In this research work, the proposed model is developed as a mobile application which helps the lectures to collect the presence of students in a classroom by recognizing the students face obtained through application. Google Firebase face recognition API is used to develop the E-Pro application considering the Euler’s Angles and probabilistic models. Experimental results are obtained by testing the proposed approach using stock images and observed the better detection and recognition performance.
Long-term Prediction Model with Time-Shifted AutoEncoder

This paper addresses a new human operation for long-term prediction. In human-machine systems, human input prediction is utilized for suitable assist to manual operation tasks. However, conventional human input model can predict only be in short-term behavior. Therefore, in this paper, a human model enables long-term prediction is proposed and experimented. The experimental results suggests better prediction performance comparing a conventional model.
Health status monitoring system based on speech analysis

Abstract In recent years, the health of the elderly has become the focus of medical treatment. In daily life, the physical condition of the elderly cannot be fed back to their families in time, and the health level of the elderly at home cannot be accurately judged. In order to solve the above problems, we put forward a method to monitor the health of the elderly with speech recognition system. This method can not only monitor the health of the elderly in real time, but also inform the family members in time when there is something wrong with their health. The specific steps are as follows: firstly, sound waves are converted into electrical signals by sound sensors. Because the frequency band distribution of the input sound wave signals is complex, we choose band-pass filters to shield other noises, and choose the sound frequency band belonging to specific elderly people as input signals. Because of the particularity of sound wave signals, they are time-varying signals, which need to be processed. We extract characteristic parameters and frame-by-frame stable digital signals to obtain stable signals for subsequent processing. The filter and signal processing chip are designed by FPGA, and the finished product is prepared after layout drawing. In the process of protecting the health of the elderly, the invention is equipped with image recognition, which is convenient for timely monitoring the living state of the elderly and whether there is sudden disease. Comprehensive speech recognition chip is used to protect the healthy life of the elderly. template matching Speech endpoint detection Speech database , Feature parameter extraction - - Template matching Judging whether the elderly are healthy or not Computational recognition Figure -Speech in training set (verification) Test set - : la oc Outside the training set Speech with noisy Voice (test) background Unrecognized speech Figure2
Organizational Learning Management System Application via Micro PC Hardware

In the current work, systems based on mini/micro PCs that can support the corporate learning management practices have been evaluated. As a learning management system, the Moodle platform was chosen. The evaluation was based on the end users' experience. For measurement, carried out in three dimensions, a questionnaire was distributed among students enrolled in the blended course, offered with online support. According to results of the study, the installation of Moodle on micro PC was evaluated as slow. However, students agree that given the price of the device, it can be used as an alternative for the existing version of LMS used in the university. Ease of use of the system, working on micro PC, was also evaluated lower compared to the one on the server. In addition, students evaluated the security on the Moodle version installed on the device higher compared to the one in use.
Uncertainty and conjunction fallacies

This chapter examines conjunction fallacies. This phenomenon is a topic in the psychology of reasoning and is not strictly linguistic, but it is related to pragmatics. Monads are shown to capture conjunction fallacies compositionally, which has eluded prominent prior theories. The chapter contrasts a monad built around the <italic>probability semiring</italic> with one built around a simpler semiring, <italic>the one semiring</italic>. The choice between the probability and one semirings partially predicts experimental participants’ behaviour. This points to an explanation in terms of the satisficing heuristic, rather than the representativeness heuristic. The chapter explores two options for fully predicting the results. The first is to use Gricean pragmatics in addition to the one semiring. The second is to use alternative underlying semirings for the monad: <italic>tropical semirings</italic>. This alternative compositional solution achieves a highly satisfying fit with aggregate psychological data and preserves an interesting duality between the logical operations of conjunction and disjunction. Some exercises are provided to aid understanding.
Human Assist for Stress Response

Since recent years, society has been described as more and more stressful, and necessarily stress has an impact on people. In this context, stress is said to have a negative effect on human performance. In order to tackle this problem, previous researches have measured stress in real time and proposed assist methods. However, it is difficult to provide feedback on stress, and a physical load caused by wearing many sensors has been an pointed out. Therefore, the purpose of this research is to create an individual model of stress from machine learning, and to examine a method of feedback which doesn’t differ depending on each individual.
Learning of Real-to-Sim Image Transfer with Latent Dynamics Model

Learning robot actions using a simulator has many advantages as compared to one using a real robot. However, transferring the policy learned in simulation to the real robot is difficult because of the influence of the “reality gap”. In particular, the visual reality gap is a severe problem for the End-to-End controller, which uses images as a state. In this paper, we propose a real-to-sim image transfer combining domain randomization with latent dynamics. Our proposed method can predict future real-to-sim images, even if we could not obtain images. We validate the effectiveness of the proposed method by using real images in a manipulation task.
Advanced harmonization and sensor fusion to transform data readiness and resolution for big data analytics

&amp;lt;p&amp;gt;Access to data is no longer a problem. The recent emergence of new observational paradigms combined with advances in conventional spaceborne sensing has resulted in a proliferation of satellite sensor data. This geospatial information revolution constitutes a game changer in the ability to derive time-critical and location-specific insights into dynamic land surface processes.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;However, it&amp;amp;#8217;s not easy to integrate all of the data that is available. Sensor interoperability issues and cross-calibration challenges present obstacles in realizing the full potential of these rich geospatial datasets.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The production of analysis ready, sensor-agnostic, and very high spatiotemporal resolution information feeds has an obvious role in advancing geospatial data analytics and machine learning applications at broad scales with potentially far reaching societal and economic benefits.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;At Planet, our mission is to make the world visible, accessible, and actionable. We are pioneering a methodology--the CubeSat-Enabled Spatio-Temporal Enhancement Method (CESTEM)--to enhance, harmonize, inter-calibrate, and fuse cross-sensor data streams leveraging rigorously calibrated &amp;amp;#8216;gold standard&amp;amp;#8217; satellites (i.e., Sentinel, Landsat, MODIS) in synergy with superior resolution CubeSats from Planet. The result is next generation analysis ready data, delivering clean (i.e. free from clouds and shadows), gap-filled (i.e., daily, 3 m), temporally consistent, radiometrically robust, and sensor agnostic surface reflectance feeds featuring and synergizing inputs from both public and private sensor sources. The enhanced data readiness, interoperability, and resolution offer unique opportunities for advancing big data analytics and positioning remote sensing as a trustworthy source for delivering usable and actionable insights.&amp;lt;/p&amp;gt;
Elastic Parameter Identificaton of an Elastic Rod

In this paper, we proposed an algorithm for identifying the elastic property of an elastic rod along its body trunk. The proposed algorithm estimates the stiffness matrix for bending and torsion along the backbone curve of an elastic rod based on the measured information on its shape and the forces and torques applied at its base by making full use of the discretized Kirchhoff elastic rod model and using Newton method. We propose a system for identifying the elastic property as well. Experimental result using an elastic strip with a known elastic property shows that the proposed method can estimate the elastic property of the rod with 0.14 ％ accuracy.
Comparing LSTM and GRU for Multiclass Sentiment Analysis of Movie Reviews.

Today, we are living in a data-driven world. Due to a surge in data generation, there is a need for efficient and accurate techniques to analyze data. One such kind of data which is needed to be an ...
Model-Agnostic Meta-Learning for Digital Pathology

The performance of conventional deep neural networks tends to degrade when a domain shift is introduced, such as collecting data from a new site. Model-Agnostic Meta-Learning, or MAML, has achieved ...
Motion Detection of Human with power assist suit for unobstructed movement

We have developed an electric power assist suit (PAS) with soft power transmission by spring. This PAS has function of automatically following user movement and detecting assist timing by discriminant function. To improve accuracy of assisting timing detection of power assist suit, we constructed a system of motion discrimination by detecting PAS wearer’s motion. Results of experiments showed less misrecognition of motion and suitable assist for PAS wearer’s movement.
Digital Transformation of Advocacy Activity in Modern Russia

The author analyzes the circumstances that caused these changes, which include the state’s measures to combat coronavirus infection (COVID-19), novelties of procedural legislation on the use of digital technologies in judicial disputes, as well as the practice of applying this legislation. The purpose of the study is to establish the validity and expediency of applying certain legislative measures aimed at digitalization of activities related to the implementation of legal assistance by a lawyer to citizens and legal entities. During the research, the following methods were used: general scientific, such as analysis, synthesis, comparison, generalization, historical method; private-scientific: formal-legal, comparative-legal, allowing to consider the digitization issues of advocacy activity. The result of the research is to establish the applicable law to relations concerning the conclusion of a foreign economic contract, the grounds and conditions for recognizing the contract as concluded, and the consequences of not recognizing the fact of concluding an international commercial contract.
Visual field expansion around robot by mounting robot arm with camera in mobile robot

There have been proposed many mobile robots that can run rough terrain. The small mobile robot proposed by us can be applied to various applications, and it is examined to be used for inspection work in remote places in future. It is important to accurately obtain the information around the mobile robot for the operation and autonomous movement in the remote place. However, it is difficult to accurately catch it by the camera, because the inspection object is in the narrow place and there is a difference in height. This paper describes the configuration and concept of the field of view extensibility by mounting a robot arm equipped with a camera on a mobile robot.
LSC-CyFair Library Guides: ENGL 1302 Oberle: Scholarly vs popular sources

This page describes what it means for sources to be scholarly or popular and how to tell the difference.
Youth innovation hub announced for Landsdale

A state-of-the-art ‘youth innovation hub’ will be included as part of the new Landsdale library project thanks to a $3 million State Government grant.
Analysis of path planning using RRT* algorithm based on Reeds-Shepp curve for non-holonomic mobile robot

In this study, we analyze the optimal path planning method for non-holonomic mobile robot (car-like) while navigating through narrow pathways. Autonomous navigation of a four-wheel non-holonomic mobile robot, limited to forward motion planning, in the narrow pathway environment is challenging. It proves impossible while taking turns. In this kind of environment switch-back (forward and reverse) motion planning is required to succeed the navigation. The path planning is divided in two-phases. The preliminary path is planned by rapidly exploring the random tree algorithm (RRT*) considering the orientation of mobile robot. In the second phase, the planned path is subdivided into smaller parts (local paths) full-filled by continuous curvature. The local path is obtained by Reeds-Shepp curve considering kinematics constraints of mobile robot. The software prototyping tool is Robot Operating System (ROS) from Open Source Robotics Foundation. The path planning model is based on ROS [1] navigation stack.
A Phase-Type Distribution for the Sum of Two Concatenated Markov Processes Application to the Analysis Survival in Bladder Cancer

Stochastic processes are useful and important for modeling the evolution of processes that take different states over time, a situation frequently found in fields such as medical research and engineering. In a previous paper and within this framework, we developed the sum of two independent phase-type (PH)-distributed variables, each of them being associated with a Markovian process of one absorbing state. In that analysis, we computed the distribution function, and its associated survival function, of the sum of both variables, also PH-distributed. In this work, in one more step, we have developed a first approximation of that distribution function in order to avoid the calculation of an inverse matrix for the possibility of a bad conditioning of the matrix, involved in the expression of the distribution function in the previous paper. Next, in a second step, we improve this result, giving a second, more accurate approximation. Two numerical applications, one with simulated data and the other one with bladder cancer data, are used to illustrate the two proposed approaches to the distribution function. We compare and argue the accuracy and precision of each one of them by means of their error bound and the application to real data of bladder cancer.
The Classification of Arm Movements Using EMG Sensors and IMU Sensors

This paper proposes the classification method of arm movements using EMG sensors and IMU sensors. The proposed method classifies the movements by utilizing the relationship between the arm movements and gripping motions. The classification algorithm of the proposed method consists of two classifiers. One learns using the information of the EMG sensors, and the other learns using the information of the IMU sensors. Feature data extracted from the information of the EMG sensors is classified using support vector machine and time series data obtained from IMU sensors is classified using dynamic time warping. The proposed algorithm selects the classifier with a high classification rate for each motion. An experiment shows the effectiveness of the proposed method.
Real-time 3D Pose Estimation by RGB-D Camera and Its Evaluation

As the opportunity of interactions between human and robot increases, real-time human 3D pose estimation technique is required for robot to act adaptively to human motion. Marker-less motion capturing systems such as Kinect, sometimes miss and incorrectly estimates 3D pose when the joint-points are in a specific pose, for instance, crossed arms due to the difficulty of division of each body parts. We describe a method of real-time 3D pose estimation using a RGB-D camera and an image-based 2D pose estimation technique and evaluate its accuracy with a wearable motion capture system as ground truth in the laboratorial and daily scenes.
LibGuides: A Guide for Reluctant Teen Readers: References

This guide is a resource for teens (ages 13-18) who may be reluctant to read, who struggle to enjoy books, or who need a starting place for rekindling their previous love for reading.
Chatbot using word2vec

Chatbots that respond according to keywords have been proposed. However, if the keyword is not registered, there is a problem that proper conversation cannot be performed. In this paper, we propose a method to use a registration response sentence using word2vec.
Robot Platform for Whiteboards

The blackboard and whiteboard are common in schools globally. Many of them have interesting magnetic properties, which is not largely used. In this thesis, a study is conducted in which the possibi ...
Hybrid Autoencoder for Low-light and Adversarially-robust Imaging

We demonstrate an optics pipeline for classical computer-vision autoencoders, which are a reliable de-noising defense against adversarial attacks. With vortex Fourier encoding, we show results with 10 nJ/cm 2 illumination.
Improving the Students’ English Pronunciation through English with Lucy Youtube Video

The aim of the research is to improve the students’ pronunciation through English with Lucy YouTube Video. The subject of the research is 32 students at the eleventh grade of social science of MA Ma’arif NU 1 Cilongok academic year 2019/2020. The writers use classroom action research based on Kemmis and Mc. Taggart concept as research design. The writers conduct the research in two cycles consists of planning, action, observation and reflection in each cycle. The writers use oral test, observation, questionnaire and documentation as technique of data collection. The students’ pronunciation is improved through the implementation of English with Lucy YouTube Video. The result of the students mean score in pre- test is 69 and the result of students mean score in post-test is 75. It means that the classroom action research is success. The result of students’ mean score of post-test shows the improvement, in which it reaches out the score 70 as the KKM of English lesson. The result of questionnaire shows that 86% students enjoy the learning process using English with Lucy YouTube Video. The students become more active and confidence during the learning process. According to the teachers, English with Lucy YouTube Video can be used as media in teaching English pronunciation.
Development of a Hexacopter with a Set of Tilt-rotor Mechanisms

Multicopters can vertically take off and land (VTOL) and have high hovering capabilities. For this reason, VTOL aircrafts have been receiving attention as a means of transportation that has to be developed. In this study, it is aimed at developing a partially tilted type hexacopter that can fly stably without tilting the fuselage by partially tilting the rotors. This aircraft switches the flight mode from a vertical flight to a horizontal flight by changing a set of tilt rotors simultaneously. In this paper, the proposed hexacopter is first outlined, and the flight principle is explained. In addition, the operation experiments on the manufactured aircraft are reported, together with giving their considerations.
Psychological Features of Students Self-Realization in Youth

The article considers the problem of personal self-realization. The article presents an analysis of scientific approaches to understanding the essence of this phenomenon. Particular attention is paid to issues of self-realization of personality in youth. The results of an empirical study indicate the presence of psychological characteristics of the self-realization of university students engaged in poetry in a literary association.
Evaluation of the Presented Method Producing Immersive Sound Field by Oscillating Air-jet

Many systems employ a combination of vibrotactile information from transducers with acoustic information to produce immersive virtual sound field such as air vibration in a concert hall. Here, we propose a method to reproduce an immersive sound field on a user’s body by employing oscillating air-jet. In this paper, we report on and evaluate the reproducibility of the virtual sound field by the proposed method.
SOCIAL NETWORKS FOR THE DISSEMINATION OF RESEARCH PROJECTS: THE CASE OF KIDS MEDIA LAB 2

M. Pinto1, P. Cubillas2, A.J. Osório3 1Polytechnic Institute of Viseu / University of Minho (PORTUGAL) 2Universidade de Granada (SPAIN) 3University of Minho (PORTUGAL)