Reviewerly/exHarmony huggingface dataset:
Generating Antipathy based on Anger and Disgust

In this paper, we propose a method to generate antipathy based on anger and disgust. An emotion corpus was created using the Bag of Words method (BoW), and antipathy coefficients were obtained from emotions of anger and disgust. In the experiment, we selected 20 sentences on the Internet with antipathy and 20 sentences without antipathy.
The illusion of space using Motion Platform

In recent years, the development of Motion Platforms has progressed. Previous research has shown that even if the motion in the VR space and the motion of the MP don’t match, it may be possible to achieve an experience with little sense of discomfort. However, only VR images are used in these studies. Therefore, we focused on real images for verification. As a result, it was confirmed that the knowledge of spatial illusion using MP is useful even in the experience of real images, and that it is possible to reduce the sense of discomfort and present a sense of movement.
劣化検査ロボットのためのぼけ・ブレを含む画像の識別手法の検討

Social infrastructure is in urgent need of inspection and maintenance due to aging problems. In order to solve this problem, research and development of inspection robots is underway. The images captured by the camera mounted on the inspection robot include blurred images. Visual inspection of concrete measures crack widths of 0.05 mm or more, so if the image taken by the inspection robot contains blurring, the crack width cannot be measured accurately. Therefore, it is necessary to develop a system that automatically distinguishes between blurred and non-blurred images. In this paper, we describe the discrimination evaluation by quantitatively representing the blur of the image taken by the inspection robot. We evaluate the proposed method and reveal suitable features by discriminating blurred and unblurred images using a crack detection system.
Research on Robot Teaching Materials for Programming Education and Tasks that Encourage Trial and Error

We have been developing a robot with an intuitively understandable instruction set using a microcomputer, and have used it for introductory programming education at universities. In the classes, students not only created programs individually, but also collaborated to make the robots move simultaneously and cooperate with each other. In the collaborative work, we have continued to set and improve tasks in order to increase learners' interest and understanding of programming. In this paper, we introduce the various cooperative programming education methods we have used so far, and describe their characteristics and improvements.
Development of a suction cup-legged robot ”GeckoPus” designed for wall climbing

Robots that can move around indoor environments have been developed. Many of those robots use crawlers or wheels as the moving mechanism and can overcome various obstacles. However, the size of the obstacles that can be overcome depends on the size of the moving mechanism and the robot. Therefore, we focused on a wall-walking robot that does not that can overcome various obstacles regardless of the size of the moving mechanism. In this study, we adopted a sucker as the adhesion mechanism and developed a four-legged wall-walking robot. Walking experiments on slopes with the developed robot confirmed that it could climb a 30-degree incline.
Automatic curriculum learning with goal sampling based on state action distribution

It is mostly challenging to implement reinforcement learning due to vast search space. To address this issue, Zhang et al. proposed Value Disagreement Sampling (VDS), which sets pseudo-goals based on degree of disagreement within the multiple value functions. However, the VDS approach may not set contributory pseudo-goals to learn task objectives. In this paper, we aim to enhance the learning efficiency by sampling pseudo-goals based on the state-action distribution sampled from current policy. Simulation results demonstrate the effectiveness of the proposed approach in improving learning efficiency, especially during the later stages of the learning process.
専門分野に重点を置いたロボットシステム開発・利活用人材育成のための教材開発

This presentation describes a teaching material that simplifies the development of robot control systems for students majoring in mechanical engineering. The developed teaching material is a procedure to develop a control system by utilizing modularized robot components such as Arduino, Grove, and ROS, and templates of codes. The effectiveness of the teaching material is verified through the development of an environmental measurement unit.
Markerless Posture Estimation of Flexible Cord-like Objects by Video Processing with Deep Learning

In this study, purpose is pose estimation of flexible objects. The object is a cord-like flexible object, and moving image analysis using deep learning is used. The method proposed is markerless pose estimation. The movement of flexible objects is captured as a video and labeled on the image. It learns from labeled images and estimates labeling points. A curve is calculated from that point, and the pose is estimated. In this paper, we actually photographed the movement of a flexible cord-like object, and compared the estimation result with the actual photograph for verification. It was shown that a posture similar to the actual posture can be estimated. The maximum tip error was 2 cm.
An Evaluating Method of Engineer Abilities for Students in a Laboratory

In a scientific laboratory, students can get more technical knowledge and skills since they had taken lectures, experiments and practices in a classroom. In this paper, it is suggested that an evaluating method of engineer abilities for students in a laboratory.
Anomaly detection of vital signs using autoencoder

This paper discussed the anomaly detection of vital signs using autoencoder. In our system, the vital signs which are heart rate, respiratory rate and body motion are measured by the doppler sensor. We adapted the autoencoder to detect the anomalous value in the vital signs. The autoencorder is the one method of the unsupervised machine learnings. The effectiveness of our system is demonstrated by several experiments.
Development of an assist suit for elbow joints that can be used for underwater work and verification of an effectiveness of the assist suit for carrying work

In marine civil engineering work, when constructing a foundation of the breakwater, the foundation stones that were dropped into the sea are leveled by divers. To reduce the burden on the divers while performing leveling work, the purpose of this study is to develop an assist suit for elbow joints that can be used underwater. In addition, to verify an effectiveness of the assist suit for carrying work of heavy objects, experiments were conducted based on the measurement of surface electromyogram and expired gas analysis. The results of the experiments showed that the muscle activity of the biceps brachii muscle and energy expenditure of the entire body were reduced by wearing the assist suit. Thus, effectiveness of the developed assist suit for the elbow joints for carrying work of heavy objects was verified.
双腕ロボットによる衣服の裾部折り返し

This paper describes a method of folding the hem of clothes by a dual-arm robot. This paper aims to realize the hem folding process by four actions: shifting the front body to create a wrinkle on the hem to separate the front and back body, folding only the front body by grasping the wrinkle and moving it to the collar side, grasping the fold on the front body and moving it to the collar side, and pulling the stitch between the front and back body on the inside of clothes to the side. The above procedure was implemented on a robot and its effectiveness was verified by experimenting with five different clothes.
多重差動モジュールを用いた不整地移動ロボットの開発

When considering a mobile robot that can move and work on uneven terrain such as farmland, the following three specifications are required to enable both movement and work: the body must always remain horizontal, the height of the body can be changed, and the robot can move in all directions. We proposed a rough terrain mobile robot using a 4-axis differential module, a mechanism that can satisfy these requirements. Therefore, the specifications of the uneven terrain mobile robot, fabrication of the leg 1 module, and measurement of torque and force by attaching a 6-axis force sensor to it were conducted.
Landing Position Dispersion System with Trajectory Control of Falling Objects Inspired by Flying Seed

In this study, falling object which was inspired by a lauan seed was designed. The falling object's posture and falling speed are stabilized by the auto rotational wing. Also, the non-rotational part controls the scattering area by depending on its part angle. It was confirmed that the non-rotational part expanded the scattering area by experiments.
Research for Absolute Angle Detection using Multiple Potentiometers

With the declining birthrate and aging population, the demand for the motorized wheelchair is increasing. A wheelchair that can be instantly moved in all directions by attaching an active-caster had been proposed. This caster enables a lighter and more compact motorized wheelchair than conventional motorized wheelchairs. In this paper, a method for detecting absolute angles using two potentiometers is presented. It leads to smaller gears to be installed and compensates for the dead-zone disadvantages of potentiometers. The absolute angle is determined by using the difference between the output values of multiple potentiometers. However, the influence of the backlash must be considered. Therefore, a gear arrangement with a larger dead zone tolerance is determined. Then, the maximum error in absolute angle caused by backlash is determined.
Case Study of the Use of 5-inch Gauge Model Railroads in Mechatronics Education

Since the global outbreak of the novel coronavirus infection, many people have been forced to live under self-restraint. As of March 21, 2023, a policy to relax mask-wearing has been announced, and the situation is gradually returning to pre-pandemic life. However, due to the emergence of variant strains with high mortality rates among infants and elementary school students, children in local communities are refraining from long-distance travel and leisure activities. This study aims to contribute to creating an environment where children in local communities can live with hope and foster interest in robot-mechanical technology among preschool and elementary school children by developing and operating a mini railway vehicle with a 127mm gauge. Specifically, we held mini railway operation events and surveyed participants' awareness through questionnaires to examine the potential contribution of the mini railway to robot-mechanical education, and report the results of our investigation.
A Survey for identifying Parkinsons disease by Binary Bat Algorithm

The International Scientific Research Organization for Science, Engineering and Technology (ISROSET) is a Non-Profit Organization; The ISROSET is dedicated to improvement in academic sectors of Science (Chemistry, Bio-chemistry, Zoology, Botany, Biotechnology, Pharmaceutical Science, Bioscience, Bioinformatics, Biometrics, Biostatistics, Microbiology, Environmental Management, Medical Science, Forensic Science, Home Science, Library Science, Material Science Military Science, Physical Science, Physical Education Science, Educational Science, Fisheries, seed technology, Agriculture, Forestry Science, Mathematics, Physics, Statistics and Geology/Earth Science), Computer Science, Engineering and Information Technology, Commerce, Management, Economics Sociology and Social Science.
Information Security Cyber Security Challenges

The International Scientific Research Organization for Science, Engineering and Technology (ISROSET) is a Non-Profit Organization; The ISROSET is dedicated to improvement in academic sectors of Science (Chemistry, Bio-chemistry, Zoology, Botany, Biotechnology, Pharmaceutical Science, Bioscience, Bioinformatics, Biometrics, Biostatistics, Microbiology, Environmental Management, Medical Science, Forensic Science, Home Science, Library Science, Material Science Military Science, Physical Science, Physical Education Science, Educational Science, Fisheries, seed technology, Agriculture, Forestry Science, Mathematics, Physics, Statistics and Geology/Earth Science), Computer Science, Engineering and Information Technology, Commerce, Management, Economics Sociology and Social Science.
ELT MATERIALS FOR A VOCATIONAL HIGH SCHOOL ENGLISH CLUB: PLANNING AND PRACTICE

Teaching materials are an important aspect of language teaching. Through teaching materials, students can obtain language input so that their language skills can improve. This research aims to describe teaching materials developed for vocational high schools located in Jakarta. This teaching material was created to be taught to vocational school students during 'English Club' activities. This vocational school has two specializations, namely multimedia and computer network engineering. For this research, three chapters of teaching materials were developed based on a needs analysis questionnaire. 48 students completed the questionnaire. The result is that they need materials that include reading, listening, writing, and speaking skills narrowed down to reading texts related to their major, email writing, and presentation skills. Meanwhile, they need a lot of materials related to English vocabulary, especially those related to their majors. The materials devised were then evaluated by four English teachers whose results were discussed in this study.
Paving the way towards a methodology to faithfully assess physical, physiological, and cognitive impacts of Augmented Reality under constrained environments: a Head-Mounted Display use case

Devices supporting augmented reality are becoming more and more advanced and increasing attention is being paid to this technology. Due to recent upgrades in technology, the quality of the experience has improved for users, especially the spatial and temporal consistencies of the scene displayed, and scientists' efforts are focused on designing innovative and seamless interaction modalities, especially in the aviation sector. Nevertheless, the level of requirements being remarkably high in such industry, the implementation of this technology raises the question of the impact of its use under constrained environments and how scientific validation of devices can be performed. Therefore, it is needed to implement a methodology to assess the effects of augmented reality on an operator in a constrained environment. Firstly, the challenges that arise when assessing augmented reality impacts under constrained environments are discussed by emphasizing on the specific use case of head-mounted displays. Then, the proposed methodology that can be used to overcome these challenges is introduced. The methodology involves assessing the impact of augmented reality both objectively and subjectively using metrics that are specific to the application. Finally, recommendations for future research as well as ways of improvement of the current methodology are also provided. The results and the validity of the methodology will be the object of a future article.
Tipping the Scales of Film History

Research in film studies has a long history of productively borrowing theories and concepts from other fields. Today, film culture and moving image practice are mostly based on computational technologies, and computer science has emerged as an important new source for models, scripts, and concepts for film research. “Scalability” is increasingly used to describe a desired feature in computational research designs, but also to characterize the medium of film itself. In response to advances in format theory and the emergence of computational methods in film history this contribution proposes to discuss the meanings and uses, but also the potential side effects, of the concept of scalability for film research. The contribution asks four interrelated questions: How do historical facts become data? Is film a scalable medium? Are film histories scalable? And what, if anything, about film is non-scalable, i.e. which are the facts of film history which do not compute?
Automating Data Analysis with Python: A Comparative Study of Popular Libraries and their Application

In areas like businesses, finance, and science, data analysis plays a very important role. Data analysis needs to be automated to improve productivity and eliminate human error as data volumes and complexity grow. Python is a well-liked language for automated data analysis because of its ease of use and broad library support. For automated data analysis, we are evaluating many well-known Python libraries, such as Python and Pandas, Matplotlib, Seaborn Scikit-learn, and TensorFlow is used in this text. We evaluate the usability, computational efficiency, and accuracy of these libraries when performing various data analysis tasks. We also go into great length on the uses of each library in various sectors, as well as its benefits and drawbacks. Our study shows that the user's level of experience and the type of data analysis task both affect the library choice. We came to the conclusion that choosing the right library is crucial for automating data analysis using Python and significantly affects the accuracy and efficacy of the study.
Aspect-Based Opinion Mining of Customer Reviews in the Hospitality Industry: Leveraging Recursive Neural Tensor Network Algorithm

The hospitality industry is highly competitive, and in today's social media era, knowing customers' changing expectations has become essential. Accordingly, this study conducts aspect-based opinion mining (ABOM) on customer reviews to gain insights into these evolving perceptions and opinions. The study analyses user reviews from six prominent global chain hotels in South Asia, extracted from Tripadvisor. com. Employing Python for a robust text mining approach, we execute aspect-based opinion mining to extract nuanced sentiments expressed by users. Leveraging the Recursive Neural Tensor Network (RNTN) algorithm, widely used for sentence-level sentiment classification, we achieve a commendable average accuracy of 88.6% in categorising sentiments associated with specific words or aspects. This technical endeavour underscores the significance of aspect-based opinion mining and highlights the contributions of the proposed algorithm in illuminating insights into users' perceptions of hotel conditions. The obtained results stand to drive advancements in sentiment analysis techniques and provide a foundation for enhancing the quality of the hospitality industry in South Asia, thereby bolstering the region's tourism sector.
Low-High Feature Based Local-Global Attention for Traffic Police Action Identification

Conventional Convolutional Neural Networks (CNN) provide the inherent capability to effectively capturing the local area of the data. In order to understand a human action, it is necessary to consider both human and the overall context of given scene. Hence, we incorporate an attention mechanism into our model to enhance the retrieval of global semantic context during action recognition. This study introduces novel network designs that employ the Local-Global attention mechanism to extract comprehensive characteristics from video data. The initial step involves the utilization of a 3D Convolutional Neural Network (3DCNN) to extract both structural and semantic information from RGB inputs. The second approach involves enhancing the understanding of visual information by utilizing an attention mechanism to refine spatial configurations. By placing emphasis on relevant components, this approach is expected to facilitate the distinction of actions. Specifically, the Spatial-Attention (SA) generation layers priorities the visual features of the subject, thereby highlighting the pertinent scene background information surrounding the objects. The evaluation of our proposal is conducted in a comprehensive manner, utilizing the datasets provided by the Traffic Police. In the experiments, the results reveal that the proposed DNN achieves the average accuracies of 97.6 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> in Police Office the best of our knowledge.
Privacy-Preserving Data Mining Methods for Sensitive Information

This study explores innovative Privacy-Preserving Data Mining (PPDM) methods for handling sensitive information, addressing the critical balance between data utility and privacy. We identify prevalent issues arising from traditional data mining techniques and evaluate advanced PPDM approaches like differential privacy, homomorphic encryption, and federated learning using real-world datasets. Through a comprehensive analysis, our results indicate that hybrid models, which combine multiple PPDM techniques, are particularly effective in enhancing privacy without compromising data utility. The findings underscore the need for adaptable and robust PPDM strategies in the era of Big Data, contributing valuable insights to both the academic and practical domains. Our research paves the path for future studies and developments in creating a harmonious ecosystem where data mining efficiency and privacy coexist, promoting an insightful yet private data-centric world.
Leveraging Unity 3D and Vuforia Engine for Augmented Reality Application Development

Augmented Reality (AR) integration via handheld devices is a subject of significant interest for mobile applications and interactions between humans and machines. The mobile AR technique integrates intelligent display, registration tracking, virtual and reality convergence, and interactions between humans and computers on mobile devices or intelligent platforms. Thus, allowing the 3D virtual object to be wholly interlinked with the consumer's real scene, broadening the perceived distance. There has been research and applications in different subjects. However, these technologies must be included in the primary education level. Considerable research is lacking in terms of designing an application. The Vuforia SDK's AR application is a gateway for linking the virtual world to reality. The mobile terminal's display combines the actual video and the virtual object, allowing for 3D monitoring and registry. This paper describes the steps in designing a game or application and implementing augmented reality technology using Unity 3D and proposes a comprehensive framework for building an application using AR technique.