Reviewerly/exHarmony huggingface dataset:
Parity-time symmetric optical neural networks

Optical neural networks (ONNs), implemented on an array of cascaded Mach-Zehnder interferometers (MZIs), have recently been proposed as a possible replacement for conventional deep learning hardware. They potentially offer higher energy efficiency and computational speed when compared to their electronic counterparts. By utilizing tunable phase shifters, one can adjust the output of each of MZIs in order to enable emulation of arbitrary matrix-vector multiplication. These phase shifters are central to the programmability of ONNs, but they require large footprint and are relatively slow. Here we propose an ONN architecture that utilizes parity-time (PT) symmetric couplers as its building blocks. Instead of modulating phase, gain/loss contrasts across the array are adjusted as a means to train the network. We demonstrate that PT symmetric optical neural networks (PT-ONN) are adequately expressive by performing the digit-recognition task on the modified national institute of standard and technology (MNIST) dataset. Compared to conventional ONNs, the PT-ONN achieves a comparable accuracy (67% vs. 71%) while circumventing the problems associated with changing phase. Our approach may lead to new and alternative avenues for fast training in chip-scale optical neural networks.
SIMULTANEOUS CAMERA AND HAND-EYE CALIBRATION FOR EYE-ON-HAND SYSTEMS

Determination of the location and orientation of objects in the robot workspace is a fundamental function of manufacturing automation. This problem is solved by using a robot vision system with a camera mounted on the robot end-effector with a known hand-eye transformation. In this case, a viable solution to deal with the complexity of calibration is of necessity, including the calibration of internal and external parameters associated with the camera as well as the calibration of the hand-eye parameters. To this end, the paper presents a simple and efficient method of calibration for a camera-on-hand system, where the internal and external parameters of a 2D camera as well as the hand-eye parameters are simultaneously calibrated. The method is based on the 3D-to-2D projections of a calibrationblock with minimum two pure translations and two pure rotations of hand motions. Being evaluated on simulation data and real robot vision system indicate that our method can work stably with different noise and number of stations.
SEMANTIC APPROXIMATION BASED OPERATOR FOR REDUCING CODE BLOAT IN GENETIC PROGRAMMING

In Genetic Programming, code bloat is a well-known problem that is the increase in the average program size without a corresponding improvement in fitness. In order to address this problem, we proposed a new operator called Prune and Plant based on Approximate Terminal (shortened as PP-AT). PP-AT aims at reducing GP code bloat. It replaces a random subtree in a parent by an approximate tree of semantics to obtain the first offspring. This subtree is also added to the population as the second offspring. PP-AT is tested on fifteen regression problems and compared to standard GP and three recent bloat control methods. The experimental results demonstrate that PP-AT outperforms standard GP and other bloat control methods under comparison.
IMPROVED OCR QUALITY FOR SMART SCANNED DOCUMENT MANAGEMENT SYSTEM

The quality of the document images is a crucial factor for the performance of an Optical Character Recognition (OCR) model. Various issues from the input data hinder the recognition success such as heterogeneous layouts, skewness and proportional fonts. This paper investigated several algorithms for data pre-processing including image deskewing, table and document layout analysis to improve the accuracy of the OCR model and then built an end-to-end scanned document management system. We verified the algorithms using a well-known OCR software namely Tesseract. The experiments on a real dataset shown that our methods can accurately process document images with arbitrary angles of rotation, and different layouts. As a result, the accuracy by words of Tesseract can boost 23% for documents with complex structures. The quality of the output text allows to build a system to store and search documents efficiently. Index
Conditioned Variational Autoencoder for top-N item recommendation

In this paper, we propose a Conditioned Variational Autoencoder (C-VAE) for constrained top-N item recommendation where the recommended items must satisfy a given condition. The proposed model architecture is similar to a standard VAE in which the condition vector is fed into the encoder. The constrained ranking is learned during training thanks to a new reconstruction loss that takes the input condition into account. We show that our model generalizes the state-of-the-art Mult-VAE collaborative filtering model. Moreover, we provide insights on what C-VAE learns in the latent space, providing a human-friendly interpretation. Experimental results underline the potential of C-VAE in providing accurate recommendations under constraints. Finally, the performed analyses suggest that C-VAE can be used in other recommendation scenarios, such as context-aware recommendation.
NEEDS ANALYSIS OF ENGLISH COURSE FOR CADETS AT NUSANTARA MARITIME ACADEMY BANJARMASIN

Cadets at Nusantara Maritime Academy Banjarmasin are expected to have a strong command of the English language. They will be in a better position to succeed professionally in the future if they can speak clearly and fluently in English. This research aimed to explore the educational content that ought to be taught based on a needs analysis. This research used a mixed-method approach, consisting of a questionnaire and an interview. Cadets and lecturers from the Language Center at Nusantara Maritime Academy in Banjarmasin participated in this research. According to the study's conclusions, the course's instructional materials must be written in English and include sections on administrative abilities, communication skills, and the processes for using tools aboard ships. More opportunities for the cadets to improve their speaking and pronunciation are required. To make the English lesson more enjoyable, genuine materials and forms of media entertainment, such as songs, videos, and images, should be provided as part of the course.
The Essentials of Paragraph Writing to Develop Writing Skill

Paragraph is a group of related sentences dealing with a central idea. It is important to practice writing, develop writing skill, organize thoughts and improve the bent of expression. It starts with an attitude in the topic sentence, develops coherently and cohesively with the supporting ideas and ends with the restatement of the theme of the topic sentence. It requires two important factors – free hand writing and in-depth knowledge on the rules of introducing, developing, modulating and terminating. Besides, the unity, logical arrangement of supporting ideas, coherence, cohesion, completeness etc are the important elements of paragraph. But there is a false allegation to paragraph writing. Most of our teachers say that paragraph has no rules. For this, our students commit it for examination only and as such, suffer from poor writing skill. Thus, this paper aims at finding out the theories or rules of paragraph writing for writing practice and developing their writing skill.
Sistem Pendeteksi Banjir dengan Sensor Ultrasonic berbasis Mikrokontroller di kota Pangkalpinang

Provide convenience and information to BPBDs and people living in flood-prone environments that are usually unknown to homeowners without getting information about the arrival of floods in the area. So we need a system that can detect the water level of the river. For that, it is necessary to install a device that can read the water level in the form of an ultrasonic sensor and a microcontroller as well as a GSM SIM900A module. The research method used is literature study, problem analysis, system design and implementation.The results achieved in this study are able to help provide information in the form of sirens and SMS services in the form of short messages about flood alert levels that are sent to the community and the BPBD.
The Application of Naïve Bayes Classifier Based Feature Selection on Analysis of Online Learning Sentiment in Online Media

&lt;p&gt;There are problems that still exist in online learning including limited-reach networks, inadequate facilities and infrastructure, and others. This study discussed the analysis of sentiment which used the Naïve Bayes Classifier (NBC) method with XGBoost feature selection as a performance improvement that took data from news portals. The results of this study showed that graph data on the application of online learning forms in Indonesia had a "Negative" opinion. Performance testing of the NBC method based on XGBoost feature selection was conducted four times. The first experiment resulted in an accuracy value of 60.18% with 50/50 split data. The next experiment had an accuracy value of 56.92% with 70/30 split data. After that, the third experiment resulted in an accuracy value of 65.90% with 80/20 split data. The result of the last experiment was an accuracy value of 63.63% with 90/10 split data. After using XGBoost feature selection, it produced an accuracy of 60.18%, 67.69%, 70.45%, and 77.27%. The study also produced the highest average score at 10-Fold Cross-Validation in the second trial with a score of 65.62%.&lt;/p&gt;
Optimal CPU Jobs Scheduling Method Based on Simulated Annealing Algorithm

Task scheduling in an important element in a distributed system. It is vital how the jobs are correctly assigned for each computer’s processor to improve performance. The presented approaches attempt to reduce the expense of optimizing the use of the CPU. These techniques mostly lack planning and in need to be comprehensive. To address this fault, a hybrid optimization scheduling technique is proposed for the hybridization of both First-Come First-Served (FCFS), and Shortest Job First (SJF). In addition, we propose to apply Simulated Annealing (SA) algorithm as an optimization technique to find optimal job’s execution sequence considering both job’s entrance time and job’s execution time to balance them to reduce the job’s waiting time to be executed. As a result, this research proves that the proposed technique achieves an optimization efficiency with a percentage average 45.5 % according to the FCFS algorithm and 54.5% according to SJF method.
Design Expert System to Identify Student Talent Based on Personality Type Using Certainty Factor Method in SMP Muhammadiyah Kandis Siak Riau Province

&lt;p class="Abstract"&gt;The goal of this research is to create a system design that "can assist parents and teachers in recognizing the talents of their students" based on the child's personality, so that parents and teachers can provide "the right education and learning patterns for students". The author discovers that there is no expert system in SMP Muhammadiyah Kandis to identify children's talents based on personality type using certainty factor methods, and that at SMP Muhammadiyah Kandis, evaluations are still done manually and only to determine intelligence, not to determine student talent. The research method that the author uses is the Research and Development method, where the development method that the author uses is the Waterfall method according to Pressman, which the stages consist of Communication, Planning, Modeling, Construction, Development.‎ Based on the findings of the authors' research, the authors were successful in creating this research product, with the functional suitability test results from two experts obtaining a feasibility value of 100%, which was declared Very Fair, and the compatibility test results obtaining a feasibility value of 100%, which was declared Very Eligible and the feasibility score for the usability test was 86.3%, which was declared Very Eligible, and the feasibility score for the material result test was 81%, which was declared Very Eligible, and the feasibility score for the Indonesian linguistic test was 87.5%, which was declared Very Eligible. The aim of this study is to develop a expert system to identify children's interests and talents that are validated and worthy of being operated.&lt;/p&gt;
Classification of medical specialty for text medical report based on natural language processing and deep learning

Natural language processing (NLP) is a part of artificial intelligence algorithms that focus on designing and building applications and systems in a way that allows interaction between computers and natural languages ​​developed for human use. NLP has been used in several areas within artificial intelligence and data processing applications such as social media applications and medical applications and translation applications. The medical field is one of the richest in terms of big data, which has not been well invested so far. one of these unused data was the text medical reports. Natural Language Processing analysis is an effective way of examining medical reports and social media data to improve treatments and patient services. by training a computer to make a decision instead of a human, as soon as possible from the decisions of specialist doctors or medical staff working in health institutions to diagnose diseases or Prescribe treatment to the patient. The data of each patient is stored in the form of medical reports mostly as a text document file and kept within the hospital data. Hospitals suffer from a scarcity of medical and nursing staff, in addition to the high cost of hiring medical staff.
Analysis of Reading Interest of English Education of Students on Scientific Articles

This study aims to determine how interested students are in reading scientific articles in the English Education Department and to find out what factors make students interested in reading scientific articles in the English Education Department. The research method used in this study is a qualitative research method. The results showed that the reading interest of English education students towards scientific articles was quite good. Reading interest arises from within students because of the demands of academics to achieve educational goals and ideals. The factors that make students interested in reading scientific articles are educational. The lecture material and the completion of final assignments require students to read many references to scientific articles. Then there is the motivation factor, where the motivation comes from the lecturer who always provides support so that students read more scientific articles to increase knowledge and insight and motivation from within because of the demands of lecture material or completion of final assignments to achieve their goals.
Organizing Hajj Manasik as an Effort to Increase Knowledge of Hajj for Prospective Hajj Pilgrims at the Office of the Ministry of Religion of Enrekang Regency

This study aims to determine the implementation of Hajj rituals as an effort to increase knowledge of Hajj for prospective Hajj pilgrims at the Ministry of Religion Office of Enrekang Regency. This type of research is qualitative; with approach; Qualitative. Research on the disclosure of problems as they are data collection techniques using observations, interviews, and documentation, using data analysis, namely; data presentation, data reduction, and conclusion drawing (verification). By testing and analyzing the data, namely: (1) credibility (internal validity), (2) transferability (external validity), (3) dependability (reliability), and (4) confirmability (objectivity). The results of this study indicate that the Hajj ritual implementation program as an effort to increase knowledge of the Hajj is starting from registration, guidance for Hajj rituals, guidance during the implementation of the Hajj in Saudi Arabia, repatriation, to coaching and guidance after the implementation of the Hajj. The learning method of Hajj rituals as an effort to increase knowledge of the Hajj for prospective pilgrims, namely the use of methods in guiding Hajj and Umrah through Hajj rituals can be of more than one kind (varies), including the lecture method, simulation method, and question and answer method. The supporting factors are; has a supervisor who is competent and experienced in guiding pilgrims, has adequate indoor facilities, has a collaboration between the Office of the Ministry of Religion of Enrekang Regency with health workers, has a strategic location. While the inhibitors are; lack of awareness of the pilgrims on the importance of all Hajj guidance materials, lack of outdoor facilities when practicing in the field, not having an organizational branch for the implementation of Hajj ritual guidance, and the absence of additional meetings or special schedules for Hajj pilgrims who missed the meeting.
Teacher's Experience About the Challenges of Teaching Speaking Online During the Covid-19 Pandemic

Challenge is a meaning of the problem that needs to be solved. This qualitative research aims to find out the challenges teachers face in teaching speaking online during the COVID-19 pandemic and how teachers deal with these challenges. Data was collected by means of semi-structured interviews. Three male and female English teachers from a public vocational high school in Karawang, Indonesia participated in this study. The analysis is carried out through thematic analysis to interpret the data that has been collected. The challenges faced by teachers while teaching speaking online during the covid-19 pandemic, findings reveal that teachers feel challenged by having to adapt to the use of media which will later be used as a tool. Regarding these challenges, the teacher admits that students are less active in speaking in online classes. To overcome this problem, the teacher will give assignments for vocabulary pronunciation so that students have more vocabulary so that students are more confident in speaking. This research is expected to increase awareness of the importance of the teacher's role in addressing the challenges that occur in teaching speaking online in order to improve the quality of teaching and learning English.
Did Islamic Leadership Influence Online Learning Systems?

This study aims to determine and analyze the effect of Islamic leadership of leaders at the Islamic Schools in Tangerang on the information system success model (system quality, information quality, service quality). The number of research samples was 98 teachers. The sampling technique used is simple random sampling. The analytical method used is SEM with the help of SmartPLS 3.0 software. The results showed that the role of Islamic leadership had a significant effect on the three variables of the information system success model. This research can be used as a basis for the next similar research in the schools, which until now is still relatively minimal exploration.
Exploring Students’ Experiences of Story Telling Technique in English Speaking Learning in Junior High School

This study aims to seek how students’ experiences in using story telling technique as an English speaking learning. Story telling is one of the learning method to encourage student learning in developing skills and knowledge of speaking. Many researchers said that story telling is important in the field of education along with the times as a main characteristic in the quality of teaching and learning more active and creative, especially in English speaking learning. This qualitative descriptive focused on story telling as learning method on Junior High School students to find out their experiences in English speaking. The data were collected from observation, interview, and documentation. This study presents the results of students’ experiences in story telling technique as learning to speak English can provided new vocabulary, how to pronounced it correctly, and trained students’ English speaking skills. Thus, story telling technique is a learning method on students exercise has a positive impact on helping develop the quality of students speaking in a second language.
E-Learning Berbasis Jejaring Whathapp pada Matematika

Abstract&#x0D; Today, in the modern era, the information technology has very rapid development, especially in the education field, the use of the internet in continues growing...&#x0D; E-learning is a form of learning that utilizes electronic devices, whether using internet access or not.. In the field of education itself, the use of internet access has been widely used for the use of both applications and systems as learning media.&#x0D; The continuity of the education and learning process during the COVID-19 pandemic provides new activities for learning which is not being limited by space or time...Thhe Whatsapp application can be used as a learning media according to the needs and agreements of the teacher and students.. They can also create a certain group to join the students and teachers. Whatsapp as E-Learning is able to create a conducive academic atmosphere as it can be used everywhere and everytime. Its implementation in learning process is also able to present a relaxed learning atmosphere, thus can create the closeness emotionally. Through the group on the Whatsapp application, teachers and students can carry out discussion activities.. In this paper, the write is going to try to describe how useful Whatsapp is in supporting students distance learning, the obstacles which are faced by the teachers and students as well, and what are the advantages of this application&#x0D; Keyword : E-Learning, Whatsapp, Covid 19, mathematics
Pengaruh Motivasi Belajar, Minat Belajar, dan Manajemen Waktu terhadap Prestasi Belajar Siswa pada Masa Pembelajaran Tatap Muka Terbatas

The Research aims to examine the effect of learning motivation, interest, and time management to the learning achievement on limited face to face learning for students of Arabic language and literature Ushuluddin and Adab Faculty Islamic State University (UIN) Sultan Maulana Hasanuddin Banten. The sample of research are 118 students. Data analysis technique on the research is descriptive analysis and regression analysis with the help of SPSS 21 program. The result of the research showed that learning motivation significantly effect to learning achievement, learning interest significantly effect to learning achievement, and time management significantly effect to learning achievement. Learning motivation affects 15,97%, learning interest affects 17,86% and time management affects 19,96%. The result of learning motivation, learning interest, and time management in total have 53,79% to learning achievement