Reviewerly/exHarmony huggingface dataset:
Development of a Saccade Measurement System Using a High-Speed Imaging Method with Multiple Web Cameras

In this study, a general-purpose saccade measurement method was investigated using multiple webcams to obtain high-speed pseudo-facial images. An eye-tracking system was constructed using a high-speed shooting method, in which the exposure timing changed when the cameras were reconnected, and the camera reconnection was adjusted such that the difference in the exposure timing was equal to the target shooting speed. In the experiment performed to verify the high-speed shooting method, although an increase in the variation over time was observed, the shooting speed was quasi-high when multiple cameras were used. In the saccade measurement experiment, the error rate of the saccade peak velocity was observed to be approximately 28 % when the stimulus movement was 10° or more, which was significantly lower than the error rate when a single camera was used. These results suggest that saccadic motion with a large shift of viewpoint, such as when viewing advertisements, can be captured using an inexpensive device for general use.
Selecting Assists using Estimation of Visual Attention

Today, with the development of robotics and network technologies, robots that can be remotely controlled based on images from cameras have been developed. Since these robots are difficult to operate due to their remote-controlled nature, researches being conducted to reduce the difficulty of operation by implementing operation assist System. However, depending on the timing of the operation assist, it may interfere with the work or induce hazards. Therefore, in this research, based on the assumption that such unwanted assists will occur, aims to improve the reliability of operation assists by eliminating unwanted assists through assist selection. When operate a remote-controlled robot, the operator has to move its line of sight in order to check the camera images. Therefore, we have studied a method to estimate the distribution of attention during operating from eye gaze and to select assists according to the degree of attention. First, we prepared a robot equipped with a control support system in a virtual space, and asked subjects to remotely control the robot. At that time, we selected assistants using the proposed method and evaluated their task completion time and the number of mistakes they made. As a result, it was confirmed that unnecessary assists were eliminated, but there was a tendency that some necessary assists were also eliminated.
動的撮像された鳥瞰図を用いた畦畔除草ロボットの横滑り推定手法の提案

In recent years, the aging of agricultural workers and the reduction in work force is progressing. Especially in farm work, the management of levee is very burdensome for workers. Conventionally, a brush cutter has been used for levee management, but this task is very dangerous for workers. Therefore, various robots have been developed for levee management. In the development of robots, it is important to suppress sideslip to improve working efficiency. In addition, the Ministry of Agriculture, Forestry and Fisheries is promoting technological innovation to autonomously drive robots. In this research, we propose a slip estimation method using a drone and develop a system that linearly controls the slope. As a result, it was confirmed that the proposed method can stably estimate sideslipping and is sufficiently applicable to straight-line automation control.
Vulnerabilities And Ethical Implications In Machine Learning

Recent times have witnessed a convergence of expansive datasets, cost-effective parallelized computational capabilities, and progress in statistical learning techniques, particularly deep learning. This convergence has significantly propelled the integration of machine learning (ML) into commonplace applications. Machine learning models have proven their utility across diverse contexts, spanning from visual recognition tasks to personalized recommendation systems and the analysis of human language. Despite their widespread employment, the exact nature of more complex models as well as the details of their decision-making processes elude the understanding of much of the technical community. Such systems contain nebulous vulnerabilities that need to be better understood and guarded against, especially in critical applications like autonomous vehicle navigation. Recent research has elucidated some of these threats against ML systems, known as "adversarial attacks," and has attempted to describe mechanisms for both attack and defense. Within this document, we elucidate ongoing investigations, showcase tangible instances of hostile interventions, juxtapose various approaches for crafting disruptive instances, and finally delve into the ethical ramifications stemming from these susceptibilities in ML frameworks. We conclude that certain defensive measures, namely adversarial training, should be employed when creating production ready ML models.
An improved YOLOv5 for real-time human detection in infrared images

&lt;span&gt;The recent prominence of using infrared technology for human detection has garnered attention, particularly for applications in intelligent video surveillance and self-driving systems. This technology offers advantages in adverse weather conditions and night vision. However, within deep learning, the challenge of variable illumination during human detection persists. This study presents a novel method for identifying individuals in thermal images by enhancing the you only look once (YOLOv5s) algorithm. The approach incorporates the Bi-directional feature pyramid network (BiFPN) and the convolutional block attention module (CBAM) to improve the model’s feature integration and extraction capabilities. Evaluation on established thermal imaging datasets confirms the method’s superiority over state-of-the-art convolutional neural networks (CNN) based techniques, achieving remarkable precision 99.1% and recall 96.9%.&lt;/span&gt;
Comparative Study on SIFT and SURF Algorithms

There are different strategies that express the finest procedures to coordinate the image yet in authenticity, the capacity of any strategy is limited in the territory of test framework and suppositions estimated by the analysts. Shape recognition is one of the vital viewpoints in Computer Vision. From different perspective the issues of object recognition have been resolved and the variety in the recognition technique is as yet going on. Different calculations and strategies are utilized as a part of Shape Recognition and coordinating procedure. In this paper the short examination of Speeded-Up Robust Feature and Scale Invariant Feature Transform is done.
Rumah Belajar and Kipin (Kios Pintar) as a Digital Library Innovation in Indonesia

The world is now entering the era of the industrial revolution 4.0 marked by massive changes in almost all lines of human life. This revolution occurred with the development of information technology that is very rapid and can not be dammed again. This has resulted in a change in mindset and services. In this industrial revolution demands the exchange of data that is influenced by developments in technology and the internet (IoT). The development of a technological environment that is more possible for humans to maximize function. So also happens in the world of education. Today's education world is demanded to change the system from conventional to modern education. Rumah Belajar and KIPIN (Kios Pintar) as a web are designed to facilitate the online learning process, which does not recognize distance, place and time. Rumah Belajar and KIPIN as a learning media in schools that are easy and inexpensive so that learning is no longer an obstacle, learning anywhere, anytime and with anyone can be implemented well. Rumah Belajar and KIPIN become innovations as digital libraries with digital collections and can be accessed online in the form of books, videos, try outs, comics, the most complete and most sophisticated literacy for schools in Indonesia. The research method used is the study of literature. The purpose of this study was to determine the effectiveness of the use of the Rumah Belajar and KIPIN web as an educational tool to educate the Indonesian people.
Utilization Of Web Information Resources Among Scientists in Rubber Research Institute of India, Kottayam

Web-based information resources, such as e-books, online journals, databases, and bibliographic databases, play a crucial role in both educational and professional settings. The study investigated the utilization of web information resources among scientists in Rubber Research Institute of India, Kottayam. The study aims to find out the database available in the library, to know time spent on web resources and to determine frequency of using web information. The methodology used was survey method. Findings revealed that the majority of the scientists indicated E-journals as the most used web information resource. Least number of scientists used the Web OPAC, institutional repositories and E- newspaper.
Research on Chaotic Digital Image Encryption Based on ARM Platform

With the wide application of digital image processing technology in various fields, how to ensure the privacy and security of image data has become an urgent problem to be solved. To this end, this study selected the chaotic encryption algorithm, focusing on its encryption performance on the real low-light image dataset RENOIR on the ARM platform. After choosing a specific ARM hardware and software environment, a series of encryption experiments were performed using the RENOIR dataset. The experimental evaluation criteria include PSNR value of encrypted image, information entropy and encryption execution time on ARM platform. Preliminary results show that the chaotic encryption algorithm can effectively protect image content in this environment, has high randomness and unpredictability, and its execution efficiency meets the needs of practical applications.
Comparison of the Crime Scene Sketching Capabilities of Smartdraw and Autocad Software

Crime Scene Sketching is a very important tool for forensic scientists or investigators with the future perspective. This sketching only helps in the reconstruction of the crime scene and along with that it also helps in relating the crime scene with the different types of evidences we have found from the place of crime. Crime Scene sketches are prepared manually by the investigators. Now a days we are dealing with a lots of software which can acts as a better replacement for the sketching of the crime scene and it will help us create a modified sketch of the crime scene with less mistakes and more authenticity. There are a lots of software such as AutoCAD, SmartDraw, Sketch Up, etc. which are designed for preparing the crime scene sketches. Out of all the software known till date, the AutoCAD and SmartDraw are the two most important software which have proved their own authenticity in the field of Sketching of the scene of crime. Here in this paper we have tried to differentiate among both the software for the ease of use and tried to find the best software for the sketching of the scene of crime. The differentiation among both the software was established after preparing the sketches of the scene of crime.from the software and a proper analyses and result is framed as per the work conducted on to the software. On the basis of this Resultant only a final concluding statement is framed for the research work.
Study on Script Independent Handwritten Document Analysis for Forensics

Abstract: Forensic investigations including document authenticity, forgery detection, and signature verification all heavily rely on handwritten papers. These papers are typically subject to subjective and time-consuming manual assessment by forensic experts as part of the analysis and examination process. The development of automated methods for script-independent handwritten document analysis has completely changed the area and made objective analysis possible. The development of script-independent handwritten document analysis for forensic purposes is explored in this research article. We go over the difficulties encountered in this field and provide several methods and approaches used to solve them. We also look at the advantages, drawbacks, and potential applications of script independent handwritten document analysis in forensic investigations
QUANTUM PATHFINDERS: NAVIGATE THE SHORTEST ROUTE

The problem of finding the shortest path between two points in a graph is a fundamental problem in computer science and has many applications in fields such as transportation, logistics, and networking. Dijkstra's algorithm is a classical algorithm commonly used to solve this problem, but its time complexity can be prohibitively high for large graphs. Quantum computing, on the other hand, offers a promising approach to solving this problem with significantly improved time complexity. In this research paper, we explore the potential of quantum computing for solving the shortest path problem, including an overview of Dijkstra's algorithm and its limitations, the quantum computing approach using quantum phase estimation, and a comparison of the time complexities of classical and quantum algorithms. We also discuss the challenges that need to be addressed for quantum computing to realize its potential in solving practical shortest-path problems.
UPAYA PENINGKATAN KEMAMPUAN MENULIS KARANGAN EKSPOSISI SISWA MELALUI MEDIA GAMBAR BERSERI PADA MATA PELAJARAN BAHASA INDONESIA KELAS III MI MUHAMMADIYAH KALIMANDI

This research was carried out with the aim of improving student’s writing by using picture series media for third grade students of MI Muhammadiyah Kalimandi, for the academic year 2021/2022. This type of the research includes classroom action research, which is carried out in two cycles. The research subjects were students of class III MI Muhammadiyah Kalimandi, with 9 students. The research design used is a cyclical design with a spiral model developed by Kemmis and MC. Taggart. The research methods used include: interviews, tests, observations, documentation. Descriptive statistical data analysis technique is to find the mean. The results of this study indicate that the use of serial image media can improve writing skills of third grade students of MI Muhammadiyah Kalimandi. This increase is indicated by the average score of students in the pre-action by 35.5, increasing to 54.4 in the first cycle and in the second cycle increasing to 77.7.
Designing E-Course Navigation

In the design of the e-course learning process, it is proposed to use the concept of a navigation model. This model provides convenient and didactically based navigation through the educational material of the course. The work is based on the recent research of the authors on the structuring of educational content in the form of an e-course content model, ordered in the form of a hierarchical structure of the ontologies of learning elements that make up the course. The navigation model concept includes a set of matrices of relations of order and logical coherence of learning elements and corresponding to these matrices of orgraphs of the sequence of study and logical coherence of fragments of educational content. The navigation model answers two important questions of designing an electronic course: 1) what should be the didactically rational sequence of studying the learning elements in the course that is being created; 2) what logical connections should be established between the individual learning elements of the course in order to ensure convenient and didactically based navigation of the course. The mathematical substantiation of the navigation model is given, its properties are investigated, and integral characteristics are introduced. The use of the e-course navigation model helps to: determine and visually represent a rational sequence of studying the educational material, as well as the logical reference links between its various fragments; provide effective assistance to students in navigating the course; analyze and compare different educational materials, assess the level of didactic significance of various learning elements; minimize the complexity of preparing exercises for training and control tests, and the complexity of training and control procedures for e-learning. The concept of a navigation model complies with the international e-learning standards SCORM and IMS, complements them with specific algorithms for aggregating learning objects (SCOs) into e-courses, and assists students in learning them. The mathematical substantiation of the navigation model makes it possible to automate the design of e-courses.
Information System Security Audit SIMKA(Sistem Informasi Kearsipan) at Badan Pendapatan Daerah Jawa Barat Kota Bandung III Using COBIT 5 Framework and Standard IS0/IEC 27002

One of the main problems for an agency or a company is the security of information systems. High security is needed to maintain the confidentiality and misuse of information within the organization. To improve the security of business operations and the quality of information technology resources, it is necessary to evaluate to op Badan Pendapatan Daerah Jawa Barat Kota Bandung III, namely SIMKA BAPENDA whose function is to collect data on PKB (pajak kendaraan bermotor) and BBNKB (bea balik nama kendaraan bermotor) which manage the data computerized. The purpose of this study is to carry out a security audit of SIMKA BAPENDA at the Badan Pendapatan Daerah Jawa Barat Kota Bandung III using the COBIT 5 framework and ISO/IEC 27002 to document audit findings of the information system audit of the Badan Pendapatan Daerah Jawa Barat Kota Bandung III to make a report on the audit results. Based on the results of research that has been done through interviews and questionnaires using framework and using the APO13 and DSS05 sub domains, the results show that the Capability Existing is at level 1 while Capability Level is level 3 so the Capability Gap is 2.
Pelatihan Pembuatan Video Audio Visual Sebagai Inovasi Pembelajaran, Media Ekspresi dan Penunjang Siswa pada Mata Pelajaran Seni Budaya Di SMP Negeri 1 Jatirogo

Practically, the subject of Culture and Arts at schools is closely related to the advancement of information technology. However, the utilization remains low, causing the instructional process to be less innovative. Knowledge of art and culture in the subject should be an expressive, interactive, and dynamic lesson if technology is used as one of the teaching-learning media. One example is the creation of audiovisual videos about art and culture. A training was created for selected junior high school students at SMP Negeri 1 Jatirogo to make audiovisual short films. The purpose is to teach knowledge on using one of the latest advancements in information technology, particularly audiovisual video, and a participative learning experience that differs from past techniques. The approach employed is participatory, with students serving as learning resources to improve soft skills and abilities in processing and applying concepts in audiovisual form and training to be autonomous and responsible in the learning process. The outcomes of this program provide new ideas for instructors, particularly Cultural and Arts teachers, to create further learning innovations for more engaging, expressive, and apprehensible class meetings through audiovisuals. Another outcome is that students gain diverse learning experiences, including an understanding of short filmmaking, which is another approach to incorporating arts into learning, particularly in Culture and Arts.
Analisis pemanfaatan aplikasi iHSS oleh pemustaka pada Dinas Perpustakaan dan Kearsipan Kabupaten Hulu Sungai Selatan

This study aims to find out how much value the use of the iHSS application has at the Library and Archives Service of Hulu Sungai Selatan Regency. This type of research is descriptive with a quantitative approach. The population of this study was 985 and the samples taken were 91 samples with a tolerable error of 10%. The sampling technique uses the techniques of simple random sampling. Data collection techniques using questionnaires, interviews, observation and documentation. The questionnaire used refers to the Likert scale with a scale of 1-5. Data processing techniques using editing, scoring as well as tabulating and data analysis techniques using descriptive statistical analysis. Data validity and validity techniques used validity and reliability tests with the help of SPSS version 22 and were declared valid and reliable. The results of this study obtained indicators that have the highest average value is Simplicity (Simplicity) is 4.17 and the indicator that has the lowest average value among the others is the indicator Comprehensiveness (Completeness) is 3.80. The results of the evaluation of the iHSS Application Utilization at the Library and Archives Service of Hulu Sungai Selatan District show a total average score of 4.00 which is on a scale of 3.43 – 4.23 and in the high category, which means iHSS application utilization are considered useful.
Perilaku pencarian informasi beauty vlogger di wilayah Kabupaten Trenggalek untuk memenuhi kebutuhan informasi pada proses pembuatan konten video

The emergence of beauty vloggers is currently a trend in the world of beauty because they can influence skincare or make-up products through video content that is shared. This study intends to find out the information seeking behavior of beauty vloggers in the Trenggalek Regency area to meet information needs in the process of creating video content, as well as the obstacles faced by beauty vloggers in searching for information as an effort to meet information needs in the process of creating video content and how to overcome them. The type of approach used in this study is a qualitative descriptive approach. The data collection technique used was interviews with three beauty vloggers, observation and documentation. As well as data analysis used, namely data reduction, data presentation and drawing conclusions. The results of the study show that the information seeking behavior model used by beauty vloggers in the Trenggalek Regency area is in accordance with the theory put forward by David Ellis which is divided into 8 stages including Starting, Chaining, Browsing, Differenting, Monitoring, Extracting, Verifying, Ending via whatsapp, tick tock, instagram and google. The results of the study also show the obstacles faced by beauty vloggers which are divided into 2 factors including internal factors in the form of lack of information availability and external factors in the form of inadequate internet networks. However, the constraints from these internal factors can be handled by re-searching information, while external factors can be handled by postponing information search activities and looking for a place that has network access that supports it.