Reviewerly/exHarmony huggingface dataset:
Development and evaluation of protective sheet for shear-force sensitive sheet for detecting shear direction load between human and machine

In previous work, we developed a shear-force sensitive sheet (SSS) that detects the shear displacement and shear stress that occurs between humans and machines. In this paper, we improved the SSS by adding protective sheet (P-SSS). That helps to start recording at any time. According to the experimental result, significant differences were found between normalized area and average line length of P-SSS and those of SSS.
Optimizing SPDC soures for a quantum advantage

We optimize the design of spontaneous parametric down-conversion sources for a photonic quantum advantage by finding the upper bound to the number of photons that can meaningfully interfere given the intrinsic imperfections of such sources.
A basic structure for a stretchable jamming arm

Jamming arms have a high degree of freedom, which is one of the main features of soft robots, and stiffness, which is one of the useful features of robot arms. Another useful feature of robot arms is a stretchable structure. However, soft arms with a highly stretchable structure are mainly inflatable arms, which has low stiffness. The goal of this research is to develop a stretchable jamming arm that has a high degree of freedom, stiffness, and stretchable ability. In this paper, we considered basic requirements for a stretchable jamming arm, adopted a grain jamming arm with a unique structure composed of skin and inner grain separately, and made a prototype of skin based on the consideration. The skin of the prototype performed nearly twenty times of stretchable ability.
Intensity Distribution Sensing of Aerial Ultrasonic Tactile Display

In this study, we propose an evaluation method by measuring the reflected ultrasound from the skin surface to examine the accuracy of the focal position. In the proposed method, we assume that the fingertip exists as the irradiation target inside the workspace of the ultrasonic tactile display and evaluate the validity of the presentation based on the received intensity of a single receiving element. In this paper, the reflected wave when irradiating focused ultrasonic waves to a sphere imitating a fingertip is formulated based on a geometric model at first. Then, the received intensity when the focus is scanned is measured by experiments, and the validity of the proposed method is shown.
Stereo dynamic object detection using scene flow for robot navigation

In order to navigate a mobile robot in dynamic environments such as an attendant robot or self-driving car, path planning using position and velocity of obstacles is ideal. In addition to distance sensors for estimation of obstacle position, tracking between multi measurements is needed for estimation of velocity. 3D motion field generated by tracking points from measurement sensor is called scene flow. We propose stereo scene flow estimation and dynamic object detection to navigate a mobile robot in dynamic environments. The scene flow estimation runs real-time on our target hardware and the dynamic object detection works with some real stereo sequence as input.
Face Recognition Using Tiny Yolo V2 Algorithm as Attendance System

Nowadays many websites use the usual online attendance system which does not pay attention to safety and comfort factors so that attendance activities still have a gap of cheating. Therefore, in this study the study of the application of face recognition systems in real-time using the Tiny Yolo V2 algorithm in the online attendance system. The study was conducted with several stages starting from collecting face images, the process of image improvement (preprocessing), face detection, face recognition, and data integration using web service. The test results of 10 students, each of whom has a face image facing forward as a dataset with 4 variations of distance, each of which performs 10 different face position scenarios. Based on the test results it can be concluded that the farther the distance of the face image with the webcam, the success rate decreases, it is shown at a distance of 0.5 meters the percentage of success reaches 97% and at a distance of 2 meters 88% where 2 faces are not detected and identified at the distance is due to wearing glasses and having rather dark skin.
Sustainable education in the context of continuous technology update

The paper discusses the problem of the sustainable functioning of the educational system in the context of the intensive development of information technologies, which is urgent in Russia and, practically, in other countries throughout the world. It has become especially acute in recent years in connection with the forced transition to a large-scale organization of distance learning. Based on the analysis of the cultural and historical process in Russia, the most important traditions and features of Russian education are identified, which ensured its sustainable development and world recognition of a high level of quality. The radical economic and social changes at the end of the twentieth century, their consequences and impact on education are considered. The authors point to a number of factors that play a significant role in the development of the education system, determining its flexibility and sustainability. Special attention is paid to modern trends in the development and use of information technologies in education in the context of digitalization of the economy, including distance learning, and the open education system. New objective possibilities are compared that should contribute to the formation of an innovative educational environment of the university, intellectualization of the educational process, and problematic aspects that require detailed study. The authors classify these problems. The directions of their solution are outlined.
Investigation and Examination of Effective Presentation Method of Knee Hanger-Reflex

This paper investigated the difference on the effect of the knee Hanger-Reflex by simultaneously measuring the skin stretch and the pressure distribution. The measured data was analyzed by the weighted average, and two pressure peak positions were obtained. This result shows the same tendency observed at the other body parts. From the skin shear distribution measurement, the direction of the skin deformation is the same as the direction of the knee rotation. These results and measuring shape of the mounting site show that the clue for adjusting the mounting state and angle of the Hanger Reflex device is considering to be each person’s bone shape. In addition, to generate the Hanger-Reflex efficiently, the skin shear deformation near the compression point are important. The results and discussions contribute to the effective skin deformation techniques and devices like the Hanger-Reflex.
8 Web Design Facts that Will Blow Your Mind

If you want to gain an appreciation for the art of web design, you need to look at the process, and not just the outward visual appearance. Most visitors ...
Python in Scientific Computation

The Python language itself contains only a limited number of mathematical functions. Fortunately, it is easy to seamlessly integrate comprehensive libraries.
IX DIMA ON-LINE: UMA EXPERIÊNCIA EXITOSA EM PERÍODO DE PANDEMIA

This report aims to present an experience of conducting the event Dialogues of Mathematics with Pedagogy (known by the acronym DIMA) in a period of social distancing due to a global pandemic caused by COVID-19.Initially, we present what DIMA is, then we report the experience to hold the IX DIMA webinar in 2020, through an overview of how the event took place from planning, organization and execution, in compliance with the World Health Organization guidelines for social distancing.Finally, we make some considerations highlighting positive points of the realization of DIMA on-line and possibilities with the use of technologies.To end our discussion, we reflect on the role of the University and question its posture in the face of the pandemic scenario.
Development of Golf Putting Training System Using Vibrotactile Cues and Mixed Reality Technology

In this paper, we present a golf putting training system using vibrotactile cues and mixed reality technology. A model of ideal putter swing was determined to derive putter head path during an ideal swing. A head mounted display type mixed reality device was used to show virtual objects on a real world. For example, a hologram of putting direction and ideal putter head path were shown to the user by the system. This system also gives vibrotactile stimulation on a user’s wrist during the swing to give feedback when error of the putter head position or angle of the putter face is larger than predetermined threshold. By using this system, the user can expect improvement in golf putting skills.
Super-Sensitive Quantum Metrology without Many-Photon Entanglement

We present a quantum metrological method that yields the Heisenberg limit without employing a squeezed or a many-particle entangled state. A separable state is used to probe the phase. Entanglement is disadvantageous for our method.
Detecting the Degree of Risk in Online Market Based on Satisfaction of Twitter Users

In recent years, companies have begun using social networks as a useful tool for marketing campaigns and communicating with their customers. Social networks are enormously beneficial for both sellers and buyers. For producers, the analysis of social content can provide immediate insight into people’s reactions regarding products and services. Meanwhile, from such content, customers can know about products and services, and whether they are good or not. More importantly, users want to know about the degree of risk related to such products or services, which is a practical issue that needs to be resolved. Numerous studies have attempted to address this problem using a variety of methods. However, previous approaches have frequently predicted risk based on the user’s satisfaction regarding a specific entity (product, service, etc.). Therefore, some information, such as the user’s dissatisfaction and hesitation regarding an entity, has not yet been considered. In addition, there are very few methods for pointing out the aspects of an entity with a high degree of risk. These factors lead to low accuracy in terms of risk prediction. In this study, we introduce a method for detecting the degree of risk in an online market when considering not only the user’s satisfaction but also their dissatisfaction and hesitation regarding the given entity based on tweets sentiment analysis. The results prove the efficacy of the proposed approach in terms of the $$F_1$$ score and received information.
Reduction of Calibration Images in 3D Measurement Using Fluorescent Spherical Markers

3D image measurement technology can measure multiple points simultaneously over a wide area without contact with the object. Therefore, we propose a calibrator with eight fluorescent spherical markers that can detect millipixel and that are three-dimensionally. By using this calibrator, the number of calibration images, the number of arrangements, and the number of postures can be reduced compared to the conventional method. A 3D measurement simulation was performed to confirm that the relative accuracy of 10-6 order was comparable to that of the conventional method under the condition of 400 images with the number of calibration images reduced by 93%.
Penerapan Kriptografi Keamanan Data Administrasi Kependudukan Desa Pagar Jati Menggunakan SHA-1

Data security and confidentiality is currently a very important issue and continues to grow. Several cases concerning data security are now a job that requires handling and security costs that are so large. To maintain the security and confidentiality of messages, data, or information so that no one can read or understand it, except for the rightful recipients, a data security system application with an encryption method using an algorithm is designed. The SHA-1 cryptographic hash function that takes input and produces a 160-bit hash value which is known as the message iteration is usually rendered as a 40-digit long hexadecimal number.
Development of omnidirectional vehicle for rough terrain using crank-wheel

General crawler robots for nuclear disaster cannot move in lateral direction against the robot travelling direction, which causes difficulty in avoiding dropouts and obstacles on stairs. In previous study, our laboratory developed a mecanum crank, which consists of crank wheels and mecanum wheels, and confirmed its omnidirectional locomotion on a flat and uneven terrain. Owing to the interference between the robot frame and the stairs, the robot could not be traversed on the stairs. Furthermore, non-contact of several mecanum wheels on rough terrain prevented the lateral movement. This paper proposes the following additional mechanisms as well as the frame renovation for the mecanum crank the swing mechanism and the roller grouser. In the experiments, we confirmed the robot locomotion on stairs as well as on a flat terrain. Furthermore, we evaluated for swing mechanism and roller grouser.
The Use of Swot Analysis Method to Promote Aesthetic Appreciation of Graphic Novel Among Year 5 Intermediate Proficiency Pupils

The purpose of this action research is to promote and determine the effectiveness of the SWOT analysis method in helping Year 5 intermediate proficiency pupils to analyse the characters in the literary text of the graphic novel 'Gulliver's Travel'.The participants in this study consisted of twentysix pupils from one of the national schools in Bintulu, Sarawak.The research instruments consist of tests, interviews and observations.This research was conducted during English language lesson where both conventional and intervening lesson was carried out.Test 1 and Test 2 were conducted in order to collect the data.The test results showed that the majority of the participants' score has significantly improved in Test 2. This shows that the SWOT analysis method is effective in helping Year 5 intermediate proficiency pupils in analyzing and connecting themselves with the characters in the literary text as compared to the conventional teaching method.Similarly, the results from the interviews and observations also indicated that there was a significant improvement reflected through the data gathered from the conventional lesson.
Study on the calibration method using the geometric errors on active stereo method

The purpose of this study is to improve the three-dimensional measurement accuracy in active stereo method. We propose a method to modify calibration parameters by non-linear optimization based on the error on euclidean space. The cost function in the optimization uses geometric constraints calculated based on euclidean coordinates of the feature points on the target. The accuracy of the proposed method was verified by the experiment. As a result, that the measurement accuracy was improved only in parts of the measurement regions was confirmed . By investigating the relationship between the spatial distribution of feature points and the measurement area, that the distribution affected the measurement accuracy was suggested.
Steering Assist Control for Cycling Wheelchair Considering Sense of Agency Based on Environmental and Operation Force Information

In this paper we propose a steering control method for assisting in using the cycling wheelchair while focusing on maintaining the user’s sense of agency. The purpose of this method is to support users to move by themselves when they are shopping in a wheelchair, which is one of common scenes when going outdoor. Our method is to determine the assist ratio based on environmental information and the force applied by users. When the assist ratio is settled within the range we defined, we support steering based on environmental information. On the other hand, when it is out of range, we limit the output to prevent excessive assistances. We verified the effectiveness of the proposed method focusing on user’s sense of agency through experiments The result shows that considering environmental information and the force of user’s operation might be related with better traveling performance while maintaining user’s sense of agency.
An investigation of the influence of walking hand in hand with a child-like android on human behavior

We, humans, have an instinct of a social nurturing of children. We are researching a robot system that can gather and process necessary information effectively in the real world with the help of people. By using an android with a child-like appearance, the system might keep eliciting active involvement from the human side, just like an adult takes care of a child instinctively. This study focuses on walking hand in hand with the child as an example of the natural behaviors of child and adult. By walking hand in hand with humans, the android can convey intention, e.g., direction to go, by the physical interaction without having a conversation. In the experiment, the subject is asked to follow the android with hand in hand or side by side. As a result, we found a difference in the ratio of gazing to the android in each condition.
Database construction for Mongolian speech evaluation system

Speech evaluation is an important part of Mongolian speech engineering. The establishment of a scientific database is the basis and key issue in the development of the evaluation system for Mongolian Standards Pronunciation. This article will elaborate four basic databases including text database, sound database, score database, and electronic pronunciation dictionary regarding the development requirements of the speech evaluation system, and discusses about the basic problem of supra segmental and segmentation involved in the development of the evaluation system.
Unified Application of Style Transfer for Face Swapping and Reenactment

Face reenactment and face swap have gained a lot of attention due to their broad range of applications in computer vision. Although both tasks share similar objectives (e.g. manipulating expression and pose), existing methods do not explore the benefits of combining these two tasks.In this paper, we introduce a unified end-to-end pipeline for face swapping and reenactment. We propose a novel approach to isolated disentangled representation learning of specific visual attributes in an unsupervised manner. A combination of the proposed training losses allows us to synthesize results in a one-shot manner. The proposed method does not require subject-specific training.We compare our method against state-of-the-art methods for multiple public datasets of different complexities. The proposed method outperforms other SOTA methods in terms of realistic-looking face images.
Development of a Simple Water-Smpling Device using an Ejector for Sampling by a Drone

Water-sampling from a ship requires some hands and survey of the entire water source is impossible. To solve this problem, we propose a drone equipped with a water-sampling device as a sampling method. In this study, we developed a simple water-sampling device that can be mounted on a drone. By using an ejector and placing the sampling tank near the center of gravity of the drone, we realized a vibration-free sampling device that has no negative affect on a flying drone. We evaluated sampling performance, and confirmed that water can be sampled by a drone from the air.
Development of Multi-Dof Robot Arm by Wire Drive for Portability

In recent years, it becomes popular to use robots that clean houses. In the future, it is expected that various robots having arm are used at home. But the robot arms used in factories are large and heavy, so it is difficult to use them at home. In this study, an expansion and contraction mechanism, which has a capability of portability and easiness of put-away, has been proposed and the robot arm has been developed using it. The previous robot arm was manually expanded and contracted. In this paper, we improved the robot arm so that can automatically expand and contract and have a wide movable range.
Machine Learning for Multi-UAV Mobility Prediction

Unmanned aerial vehicle (UAV) networks now become more popular than ever and are being used in many fields such as area monitoring, surveillance, outdoor entertainment and rescue operations. The prediction of network mobility has become an important problem in resource reservation/allocation. In this chapter we will identify the state-of-the-art implementations of mobility prediction models via machine learning. Particularly, we will focus on deep spatio-temporal neural networks that can handle large-scale UAV swarms. Ten studies are compared with the discussions of their methods and advantages.
Pose Graph Optimization using Multiple GNSS

The global navigation satellite system (GNSS) has recently been used for the autonomous control of unmanned vehicles. However, GNSS positioning accuracy is affected by the possibility of the degradation of GNSS observables (e.g., multipath and poor satellite geometry) in an urban environment. In this paper, we use the pose-graph-based optimization technique. The main idea of this study is that a loop closure of the pose graph is generated from a time-relative real-time kinematic GNSS (TR-RTK-GNSS) technique. The initial pose graph is generated from the accumulated velocity computed using a GNSS Doppler measurement. To cancel the accumulated error of the velocity, we use the TR-RTK-GNSS as the loop closure in the graph-based optimization frameworks. From field experiments, we can estimate the robot trajectory with centimeter accuracy in an open-sky environment using only a stand-alone GNSS receiver.
Research about Cooperation between Human and Machine

Automatic performance of music instruments has been existing since many years ago. Today, an automatic performance system that can cooperate with a player by using machine learning is developed. We are making such system that we call it “Pure Intonation Ensemble System” and even planning to applicate it to the field of industry. We planned and made a prototype of two sub-systems of Pure Intonation Ensemble System and conducted some basic experiments. By the results, they were shown that detection of audio input and automatic performance following reference tones are installed. We will continue to install machine learning and improve the automatic performance.
Rank TD: End-to-End Robotic Reinforcement Learning without Reward Engineering and Demonstrations

The development of reinforcement learning and deep neural networks allow us to train a decision-making system for robots by the end-to-end method, which directly leverages raw sensory inputs, and outputs an action. Designing a reward function that not only reflects the goal of the task but also facilitates the agent’s exploration, however, is tedious and challenging. This paper introduces a technique that allows agents to explore following the expert-designed state trajectory and take a balance between the creativity of agents and the rigid rules of the game shaped by prior knowledge. We investigate and evaluate our approach on a simple case and a complex robotic arm grasping-task. The results show that our method has a good application prospect in the sim2real field.