Reviewerly/exHarmony huggingface dataset:
Gamma rectification solutions based on probability density function

In phase measuring profilometry, the accuracy of the recovered 3D result relies heavily on the quality of the phase. However, the presence of gamma effect often introduces severe nonlinear phase errors, leading to ripple-like artifacts in the reconstructed surface profile. It has been proved that the Probability Density Function (PDF) of the wrapped phase values, i.e., regarded as phase histogram can well visualize the noticeable periodic errors introduced by the nonlinear gamma. Therefore, a variety of PDF-based solutions have been proposed, including calculating an optimal preset gamma value, searching better compensation coefficients and building an in-situ Look-Up-Table (LUT) and so on. Nonetheless, the influence of nonuniform intensity resulting from factors such as variations in illumination distance and imaging distance has not been adequately considered. In pursuit of further advancements, this paper introduces a real-time sub-regional compensation method based on PDF to mitigate the influence of uneven intensity distribution. In this solution, a series of simulated PDF curves, as well as gamma-value-based look-up tables that map phase-to-phase errors are created w.r.t different gamma values in advance. These simulated PDF curves are used to find the optimal gamma values of each sub-region that is divided based on a projected grayscale image. The adaptive LUTs are applied to each sub-region based on the respective gamma values, which results in improved calibration accuracy. By utilizing three-step phase-shifting fringe patterns and a grayscale image, the proposed method effectively addresses the influence of nonuniform intensity and avoids complexities of pre-calibration procedures. Experimental results validate the efficacy and practicality of this approach, highlighting its potential for high-precision and real-time measurements.
Detail enhancement for infrared image based on iterative least squares and difference of Gaussian filter

Effective visualization of infrared images with low contrast and low signal-to-noise ratio is one of the key technologies for high-performance infrared imaging systems. The conventional decomposition-based algorithms have advantages in image details enhancement, but still suffer from high computational cost, unbalanced noise suppression and detail information. In this paper, we decompose the base and detail components of the image by the iterative least squares and the difference of Gaussian filter, and further enhance the base layer and the detail layer via plateau equalization and gradient mask, respectively. We then fusion the enhancement result and re-project to eight-bit dynamic range. Experimental results shown that the proposed method achieves a good balance between detail enhancement and computational cost, with a high-performance in different scenes.
Phase chunking-based error correction method for structured light 3D measurement

The method of phase shift combined with gray code has been applied to many fields due to the high precision and low cost. However, the interference from indirect light reflectance sometimes causes errors to the determination of orders for gray codes and finally leads to large errors for the 3D measurement result. In this paper, we propose a chunked correction algorithm to solve this problem. By exploiting the distinctive characteristics of high-frequency gray code patterns, we identify the potential error points firstly and then refine the mistakenly identified points according to the distribution of shadow areas. Following this, an initial correction of the order k for gray codes is performed using the nearest k-value correction algorithm. Finally, the phase chunking correction algorithm is used to corrects the absolute phase based on the modified orders of gray codes. Simulation under blender environment and real experiments are conducted to evaluate the performance of the proposed method, which shows effective to eliminate the errors caused by the indirect light reflectance.
Photonic next generation reservoir computing based on stimulated Brillouin scattering

Based on the parallelism and large bandwidth, photonic neural networks have achieved large-scale matrix multiply-accumulate with strong computing capability. We propose a novel integrated photonic neural network architecture based on stimulated Brillouin scattering to implement the next generation reservoir computing. The architecture provides a new approach to artificial intelligence enabled by integrated photonics.
Surface topography reconstruction method based on modulation of white light interference signal

In modern optical detection, the vertical resolution of three-dimensional (3-D) topography obtained by White Light Interferometer (WLI) can reach sub-nanometer level. Under the same detection environment, optical system and scanning sampling system, the quality of coherent peak extraction algorithm directly determines the measurement accuracy. After decomposing and analyzing the representation form of WLI signal, this paper proposes a surface topography reconstruction method based on the modulation function curve of interference signal for gaussian center positioning. Under the influence of typical error sources, the measurement accuracy of this method is simulated and analyzed. Finally, based on the method proposed in this paper, a comparative measurement experiment of 1.8µm standard step is carried out with ZYGO commercial interferometer. The simulation and experimental results show that the algorithm has good robustness and effectiveness.
Rancang Bangun Media Praktikum Mata Kuliah Sistem Operasi Dengan Kernel Virtual Machine Server Terintegrasi Dengan Sistem Akademik

Virtualization is a necessity that every company cannot resist anymore, not only large-scale, but also medium and small. This research aims to develop a KVM-based server virtualization platform as a means of replacing desktop-based virtualization applications which are classified as full virtualization types, there are many limitations. Based on the results of the research and discussion above, it can be concluded that the Operating System as one of the courses taught from the field of computer science can still be supported technically deeper in terms of implementing practicum or courses taught in the campus laboratory area, with this research it is hoped that this server kvm system can be a solution for students and lecturers because it can be accessed freely without having to bump into shortcomings Lab computer specifications and can also be accessed directly by using student computer devices, such as laptops and even tablets both based on Android and IOS. With a centralized system on the server, students and lecturers can access the virtual server simply with npm and password that has been created, no need to repeat from scratch if their virtual machine is deleted or moved computers.
The Role of Technology in Improving Language Skills in Education

Language is one of the key aspects in human development and the educational process. Technology has become one of the major forces shaping education. This research aims to further examine the role of technology in improving language skills in education. This research uses a qualitative methodology in the form of a literature review, which implies that the research will examine and explain data by utilising information and textual content from various sources. Data analysis techniques included content analysis to identify patterns and themes in the literature, theme analysis to understand the framework, coding to categorise data, constant comparison analysis to compare data, synthesis of findings, and triangulation to validate analysis results. The results show that technology plays a very important role in improving language proficiency in education. In the digital era, wider access to learning resources, technology-based learning applications, adaptive learning, and the use of technology in the classroom have opened up great opportunities for students to improve their language skills
Perencanaan Strategis Teknologi Informasi Terhadap Perusahaan Menggunakan Pendekatan Ward and Peppard

Strategic planning in information technology is a planning activity carried out by utilizing technology optimally to support the company's business objectives. This strategic planning must consider the continuous development of information technology to maintain the competitive advantage of a company. The research objective is to analyze the company's internal and external conditions to determine the strengths, weaknesses, opportunities and threats to CV. Medica Trisari which is useful for making strategic planning for information systems. The data collection method used in the research to be carried out uses the Observation, Interview, and Literature Study methods. Then use the SWOT Analysis method which can analyze the strengths, weaknesses, opportunities and threats that exist within the Company using the Ward and Peppard approach to ensure IS/IT strategic planning. From the results of the SWOT analysis, several strategic plans were obtained for CV Medica Trisari in developing IS/IT management so that it is able to compete with other competitors. Thus, it can be concluded that the CV. Medica Trisari Company strategy shows a good graph and has a quadrant 1 value. By using McFarlan Strategic Grid analysis, IS/IT output is produced which is expected to be a solution to business process problems and improve the quality of company management.
EXPLORING THE ADVANTAGES AND CHALLENGES OF INFORMATION PROCESSING APPARATUS AND CELLULAR PHONE TERMINALS IN THE MODERN WORLD

This article provides an overview of the advantages and challenges of information processing apparatus and cellular phone terminals in the modern world. Information processing apparatus and cellular phone terminals have revolutionized the way we communicate, work, and store data. They have increased efficiency and productivity, facilitated remote work and learning, and enabled us to access information from anywhere at any time.
Implementation and Its Effect of Project Based Learning (PjBL) Model on Increasing Learning Output in Philology Course

This study aims to investigate the effect of implementing the Project Based Learning (PjBL) model on improving learning outputs in the Philology course. The research method used is a pseudo-experiment with a pre-test post-test control group design. The research subjects consisted of two groups of students, namely the experimental group that applied the Project Based Learning Model and the control group that used conventional learning methods. Data were collected through pre-test and post-test instruments, observations, and questionnaires. The results showed that the application of the Project Based Learning Model significantly improved student learning outputs in the Philology course. There is an increase in concept understanding, text analysis skills, and critical thinking skills of students who take part in learning with the PjBL approach. In addition, students' positive response to this learning model is also evident from the questionnaire results. This finding implies that the Project Based Learning Model can be used as an effective alternative in improving the quality of learning in Philology courses
Distributed Data Processing: A Scalable and Cost-Effective Approach

This research paper presents a distributed data processing approach that involves the establishment of virtual machines, the creation of a distributed system, and the processing of data to obtain desired results. The proposed method aims to provide a simple and cost-effective solution for distributed data processing, with the ability to scale infrastructure according to the specific needs
A NUMBER OF KILOMETERS MATTERS: A COMPARATIVE STUDY ON LEARNERS STUDY HABITS AND SCHOOL PERFORMANCE

Going to school is a daily affair in a students life. The distance between home and school may be a determining factor in the school performance of the students. In this study, it aims to compare two sample groups of students: one group lives 1-2 kilometers from the school, and the other lives 3–4 kilometers from the school. The researchers utilized a sample size of 166, which represents the entire population of Binoni National High School. The participants were chosen using simple random sampling. Then the respondents were subjected to answering a questionnaire that measured the study habits of the participants and their fourth quarter ratings for school performance. The general average of the students near the school is 85.43%, while those living away from school have a general average of 85.47%. While the Likert scale shows an overall mean of 3.98 with a verbal description of agree, students from 3–4 kilometers from school have an overall mean of 4.11 with a verbal description of agree. These findings suggest that even if there is no significant difference in school performance between students who live near and far from school, However, they differ in their study habits students living away from school had a better study habit than students living near the school.
A Reconfigurable Codec for Secure Voice Communication

A novel voice communication scheme is presented which assures security in voice communication well beyond any encryption-based method in use today. The scheme is based on an original human voice production model called Sympes, which posits that human speech can be decomposed into and reconstructed from a set of so-called energy and information functions. It was discovered that a finite set of these functions is sufficient to represent any and all human speech regardless of language, gender, age, or ethnic background. The model renders itself to be used as a voice codec which can be configured in an almost infinite number of ways, many orders of magnitude larger than the key space afforded by any current encryption algorithm. This paper explains the Sympes model, how it was used to develop a co dec, and how that codec formed the basis of a secure voice communication app called Symphone, working in real time on Android, iOS, and Windows platforms. Symphone is currently in use in certain undisclosed security applications and is available to institutions worldwide.
Aplikasi Prediksi Prestasi pada Siswa Menggunakan Algoritma C4.5

The development of computer technology that is increasingly modern, fast and practical greatly affects the lives of the wider community. With the existence of increasingly sophisticated technology, a country's education can foster people's abilities, form personalities and progress a dignified country in the context of educating the country's life. Therefore, education is becoming an increasingly large impact that encourages students to achieve the best achievements. One of the factors that support student achievement is craft, adequate facilities, academic grades and also quality educators. The purpose of this study is to determine the achievement of students by predicting using the C4.5 algorithm on the designed web-based application. This research uses the RAD (Rapid Application Development) method in the process of designing student achievement prediction applications using the C4.5 algorithm. The results of the designed application aim to make it easier for students to increase their potential. The application designed has become an alternative problem solving for student problems regarding achievements, both academic and non-academic. So that when students know it, they can easily continue to hone their respective interests and talents.
Aplikasi Monitoring Pasien Tuberkulosis di Puskesmas Kebayoran Lama

Health is an important part that must be owned by every human being as a creature of God who is literally part of a social creature and society and needs a decent life to support himself and the surrounding environment. The variety of diseases in Indonesia that hurt its people also has many variations, from non-lethal to deadly diseases such as Tuberculosis disease or commonly known as TB disease. The current system at the Kebayoran Lama South Jakarta Health Center in terms of monitoring the treatment of TB patients is still carried out conventionally, 1) where officers collect patient data written on a treatment card which sometimes if the treatment card can be lost and possibly damaged, so it must be made again, causing a buildup of patient treatment cards, 2) sometimes the treatment card that is usually carried is lost or damaged, 3) the patient forgets when to come back for control and the schedule for taking the medicine, so that it can cause the patient to have to repeat the treatment from the beginning if the time to take the medicine is not according to schedule. Based on these problems, it is necessary to create an application that can strive to monitor patient health in mobile drug administration. The development of this system uses a prototype method model with the aim of this application being able to provide information related to monitoring patient health through regular consumption of drugs according to schedule.
Introductory Talk: “How Can Integrated Photonics Boost Quantum Technology?”

Micro optics and integrated photonics are now playing key roles in the development of quantum photonic technologies. In this introductory talk, by quickly reviewing the contents of the following talks, I will briefly discuss the potential of micro optics and integrated photonics in advanced quantum photonics technologies.
Simultaneous Measurement of Velocity Distribution by Three-Dimensional Spatial Encoding

This paper presents a differential laser Doppler velocimeter (LDV) for simultaneous measurement of three-dimensional (3D) velocity distribution combining spatial encoding by bias-frequency assignment and wavelength encoding. An experiment to detect one wavelength is conducted as a first step of verifying the effectiveness of the proposed method.
DATA AUGMENTATION ANALYSIS OF VEHICLE DETECTION IN AERIAL IMAGES

Drones are increasingly used in various application domains including surveillance, agriculture, delivery, search and rescue missions. Object detection in aerial images (captured by drones) gradually gains more interest in computer vision community. However, research activities are still very few in this area due to numerous challenges such as top-view angle, small-scale object, diverse directions, and data imbalance. In this paper, we investigate different data augmentation techniques. Furthermore, we propose combining data augmentation methods to further enhance the performance of the state-of-the-art object detection methods. Extensive experiments on two datasets, namely, AERIAU, and XDUAV, demonstrate that the combination of random cropped and vertical flipped data boosts the performance of object detectors on aerial images.
Prediction of Code Smell from Source Code: A Hybrid Approach

A code smell is one of the main reasons for generating low-quality software. To make the software scalable, manageable, and reusable code smell detection is required. In this work, a hybrid model using SVM and GridSearch is suggested to identify the four code smells namely Swiss Army Knife (SAK), Spaghetti Code (SC), Functional Decomposition (FD), and Blob. This work shows that applying GridSearch with SVM can remove the over-fitting and under-fitting problems by tuning the best parameters of it. To enhance the performance, two feature selection techniques namely wrapper and mutual information have been used. This hybrid model with wrapper feature selection technique performed the best in terms of accuracy which is 99.76% for Azureus BLOB.
Upaya Guru dalam Meningkatkan Kemampuan Literasi Numerasi Pada Siswa Kelas V di SDN Lebaksari Sukabumi

This study aims to determine the efforts of teacher’s inimprove the ability of numeracy literacy in class V students at State Primary School (SDN) Lebaksari Sukabumi. This research is a type of qualitative research with a case study method. Data collection techniques using observation, interviews, documentation, and test. The data analysis procedure uses Miles and Huberman, through data reduction, data presentation, and drawing conclusions. Based on the results of the study 7% of students' numeracy skills were in the high category, 86% of students' numeracy skills were moderate and 7% of students' numeracy skills were low. So that the numeracy skills of class V students are in the moderate category. Teachers' efforts to improve numeracy literacy are by providing motivation and support to students, collaborating with parents of students, overcoming student anxiety, applying concepts in learning, implementing numeracy strengthening strategies, designing project-based learning, improving thinking skills students' critical thinking by discussing and linking numeracy elements to other subjects. Factors supporting teachers in improving student abilities are the support of the principal, parental support, reading corner, and information and communication technologi in the form of a computer. The inhibiting factors for teachers in improving students' numeracy skills are the unprepared tools to be used, the lack of non-learning reading books and the lack of training
Analisis Kesulitan Membaca Permulaan Siswa Kelas II SD Negeri 0501 Hutanopan

Beginning reading ability is an important issue for low grade students. If students' reading ability cannot be completed, it will become a big problem at the next level. The purpose of this study was to determine (1) the reading ability of the second-grade students at SD Negeri 0501 Hutanopan. (2) What are the inhibiting factors for beginning reading comprehension difficulties for second grade students at SD Negeri 0501 Hutanopan. This research is presented in a qualitative descriptive form with the aim of describing a process that occurs in the field. Data collection techniques are observation, interviews, and documentation. Based on the results of the study it can be concluded that (1) the initial reading ability of class II students at SD Negeri 0501 Hutanopan on average the second grade students were quite good at reading, because there were still found 6 students only recognized letters without being able to combine letters into words, 16 students only can spell letters but difficult to combine letters, 10 students are quite good at combining letters. (2) There are two factors inhibiting the difficulty of beginning reading skills for second grade students at SD Negeri 0501 Hutanopan, namely internal and external.
Lossless Interpretable Glyphs for Visual Knowledge Discovery in High-Dimensional Data

The expansion of the use of a machine learning (ML) technology in multiple domains heavily depends on acceptance of these models by end users and their abilities to understand the patterns discovered by machine learning algorithms. The simplicity and understandability of those patterns by the domain expert is critical for success of such ML explorations. This paper proposes a method for designing lossless compact and interpretable machine learning visual patterns to be easily captured and remembered by the domain experts due to their compactness and simplicity. This glyph approach is illustrated with a “bird” glyph. This glyph is a combination of Stick Figures and a type of General Line Coordinates known as Shifted Paired Coordinates. The efficiency of the approach is demonstrated on several benchmark machine learning data sets.