Reviewerly/exHarmony huggingface dataset:
Evaluation of domain sulfur industry for DIA translator using bilingual evaluation understudy method

Authors:
raw_author_name: Diadeen Ali Hameed
raw_affiliation_string: University of Tikrit
raw_author_name: Ghanim Thiab Hasa
raw_affiliation_string: University of Tikrit
raw_author_name: Tahseen Ameen Faisal
raw_affiliation_string: College of Basic Education- Shirqat

Abstract: Evaluation is important part of our system development cycle; it also contributes to improving new machine translation (MT) technology optimum via comparing them with the traditional systems available to determine the weaknesses and the effectiveness to be improved in the proposed MT system. This work aiming to make a study that evaluate the performance and effectivness of the domain sulfur industry (DSI) for English-Arabic DIA translator quality. The recent study has conducted evaluating by making a comparison between this programme with the prominent Google translator through applying a rendering of 1,200 English sentences in bilingual evaluation understudy (BLUE) method. The obtain results show that the efficiency of Google translator is about 30.325%, while DIA translator efficiency in domain sulfur industry is about 73.325% and it’s more effective and give a better translation accuracy. The BLUE method efficiency is about (90.478%) compared with the human expert evaluator.
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking With Adaptive Spatio-Temporal Appearance Representations

Authors:
raw_author_name: Simon Doll
raw_affiliation_string: Mercedes-Benz AG, Sindelfingen, Germany
raw_author_name: Niklas Hanselmann
raw_affiliation_string: Mercedes-Benz AG, Sindelfingen, Germany
raw_author_name: Lukas Schneider
raw_affiliation_string: Mercedes-Benz AG, Sindelfingen, Germany
raw_author_name: Richard Schulz
raw_affiliation_string: Mercedes-Benz AG, Sindelfingen, Germany
raw_author_name: Markus Enzweiler
raw_affiliation_string: Institute for Intelligent Systems, Esslingen University of Applied Sciences, Esslingen, Germany
raw_author_name: Hendrik P.A. Lensch
raw_affiliation_string: University of T&#x00FC;bingen, T&#x00FC;bingen, Germany

Abstract: Following the tracking-by-attention paradigm, this paper introduces an object-centric, transformer-based framework for tracking in 3D. Traditional model-based tracking approaches incorporate the geometric effect of object- and ego motion between frames with a geometric motion model. Inspired by this, we propose STAR-TRACK which uses a novel <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">latent motion model</i> (LMM) to additionally adjust object queries to account for changes in viewing direction and lighting conditions directly in the latent space, while still modeling the geometric motion explicitly. Combined with a novel learnable track embedding that aids in modeling the existence probability of tracks, this results in a generic tracking framework that can be integrated with any query-based detector. Extensive experiments on the nuScenes benchmark demonstrate the benefits of our approach, showing <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">state-of-the-art</i> (SOTA) performance for DETR3D-based trackers while drastically reducing the number of identity switches of tracks at the same time.
Hierarchical Task Model Predictive Control for Sequential Mobile Manipulation Tasks

Authors:
raw_author_name: Xintong Du
raw_affiliation_string: Learning Systems and Robotics Lab, Technical University of Munich, Germany; Munich Institute of Robotics and Machine Intelligence (MIRMI), and the Vector Institute for Artificial Intelligence, University of Toronto Robotics Institute, USA; University of Toronto Institute for Aerospace Studies, Canada
raw_author_name: Siqi Zhou
raw_affiliation_string: Learning Systems and Robotics Lab, Technical University of Munich, Germany; Munich Institute of Robotics and Machine Intelligence (MIRMI), and the Vector Institute for Artificial Intelligence, University of Toronto Robotics Institute, USA; University of Toronto Institute for Aerospace Studies, Canada
raw_author_name: Angela P. Schoellig
raw_affiliation_string: Learning Systems and Robotics Lab, Technical University of Munich, Germany; Munich Institute of Robotics and Machine Intelligence (MIRMI), and the Vector Institute for Artificial Intelligence, University of Toronto Robotics Institute, USA; University of Toronto Institute for Aerospace Studies, Canada

Abstract: Mobile manipulators are envisioned to serve more complex roles in people's everyday lives. With recent breakthroughs in large language models, task planners have become better at translating human verbal instructions into a sequence of tasks. However, there is still a need for a decision-making algorithm that can seamlessly interface with the high-level task planner to carry out the sequence of tasks efficiently. In this work, building on the idea of nonlinear lexicographic optimization, we propose a novel Hierarchical-Task Model Predictive Control framework that is able to complete sequential tasks with improved performance and reactivity by effectively leveraging the robot's redundancy. Compared to the state-of-the-art task-prioritized inverse kinematic control method, our approach has improved hierarchical trajectory tracking performance by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathbf {42\%}$</tex-math></inline-formula> on average when facing task changes, robot singularity and reference variations. Compared to a typical single-task architecture, our proposed hierarchical task control architecture enables the robot to traverse a shorter path in task space and achieves an execution time <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathbf {2.3}$</tex-math></inline-formula> times faster when executing a sequence of delivery tasks. We demonstrated the results with real-world experiments on a 9 degrees of freedom mobile manipulator.
Teachers’ digital literacy overview in secondary school

Authors:
raw_author_name: Sherly Rahmawati
raw_affiliation_string: Universitas Pendidikan Indonesia
raw_author_name: Ade Gafar Abdullah
raw_affiliation_string: Universitas Pendidikan Indonesia
raw_author_name: Isma Widiaty
raw_affiliation_string: Universitas Pendidikan Indonesia

Abstract: &lt;span lang="EN-US"&gt;This study explored the teachers’ digital literacy in secondary school and deciphered the most suggested way of enhancing secondary teachers’ digital literacy, overview levels, and the trends factors in the last five years of research. The methodologies in this study employed the traditional systematic literature review (SLR), which compiled some previous studies to be examined. The initial studies were only selected from an article published in a reputable journal indexed by Scopus. Of the 118 articles reviewed, 46 were selected to be included in the analysis. Significant findings summarize the fact that most of the last five-year research about teachers in secondary schools was impacted by the rapid development of technology and the demand for 21st-century skills. To summarize, as it is at the intermediate level, most secondary school teachers are digitally literate. However, future research may evaluate digital literacy training programs for teachers to assess what improvements should be made to delivery as well as existing frameworks used to test teachers’ digital literacy.&lt;/span&gt;
Collaborative mind mapping in RICOSRE learning model to improve students’ information literacy

Authors:
raw_author_name: Susriyati Mahanal
raw_affiliation_string: Universitas Negeri Malang
raw_author_name: Betty Lukiati
raw_affiliation_string: Universitas Negeri Malang
raw_author_name: Murni Sapta Sari
raw_affiliation_string: Universitas Negeri Malang

Abstract: &lt;span lang="EN-US"&gt;This research aimed to determine how the reading, identifying problem, constructing solution, solving problem, reviewing and extending problem solution (RICOSRE) learning model integration with collaborative mind mapping affects students’ information literacy in higher education institutions. This quasi-experimental study used a pretest-posttest non-equivalent control group design. There were 40 multiple-choice questions selected to assess student information literacy. All instruments have been validated and are reliable. The data were collected from 100 participants who were college students enrolled in the environmental pollution course of the biology education degree program at Siliwangi University, Indonesia. To analyze the research data, analysis of covariance (ANCOVA) was used at a 5% level of significance, followed by the least significance difference (LSD) test. The ANCOVA results showed that the RICOSRE-CMM learning model impacted students’ information literacy. LSD scores were significantly different in terms of students’ information literacy. It can be concluded that the RICOSRE-CMM model could enhance each component of information literacy as these components have been integrated into the learning model syntax, which involves a series of information discovery and analysis processes during group work to find a solution to a problem.&lt;/span&gt;
Challenges encountered by newly arrived Thai students when learning Indonesian as a foreign language

Authors:
raw_author_name: Andayani Andayani
raw_affiliation_string: Universitas Sebelas Maret
raw_author_name: Retno Winarni
raw_affiliation_string: Universitas Sebelas Maret
raw_author_name: Muhammad Rohmadi
raw_affiliation_string: Universitas Sebelas Maret

Abstract: &lt;span lang="EN-US"&gt;This study aimed to determine the challenges faced by Thai international students when they first came to Indonesia to study Indonesian as a foreign language. There were nine Thai students studying in six different cities in Indonesia were recruited as participants. The thematic analysis revealed two major themes: academic challenges and technological issues. Both made it difficult for Thai students to master the Indonesian language effectively. The condition potentially hinders their academic success when studying in Indonesia. However, the researchers found that despite the language barrier, Thai students still tried to speak Indonesian with Indonesian students and residents. It indicates that Thai students in this study were highly determined, friendly, and open to new cultures. Furthermore, the researchers advise teachers and program organizers to pay attention to these challenges to maximize the learning output.&lt;/span&gt;
Assessing numeracy skills on flat shapes and scaffolding forms in junior high school

Authors:
raw_author_name: Setiyani Setiyani
raw_affiliation_string: Universitas Swadaya Gunung Jati
raw_author_name: Stevanus Budi Waluya
raw_affiliation_string: Universitas Negeri Semarang
raw_author_name: Yohanes Leonardus Sukestiyarno
raw_affiliation_string: Universitas Negeri Semarang
raw_author_name: Adi Nur Cahyono
raw_affiliation_string: Universitas Negeri Semarang
raw_author_name: Dina Pratiwi Dwi Santi
raw_affiliation_string: Universitas Swadaya Gunung Jati

Abstract: &lt;span lang="EN-US"&gt;Based on The Regulation of The Minister of Education, Culture, Research and Technology No.17 of 2021, cognitive learning outcomes consist of literacy and numeracy as measured through a minimum competency assessment (MCA) with grade 5, 8, and 11. The subjects in this study are 42 students of grade VIII (second grade) from state Junior High School 4 Cirebon and State Junior High School 2 Cirebon, Indonesia. The instruments were tests of numeracy literacy skills, documentation, and interviews. Purposive sampling was used to determine the subject of analysis of test results and interviews. The data were analyzed descriptively through the following stages: data reduction, data presentation, and conclusions drawing. The results showed that the research subjects are still not familiar with numeracy literacy questions which have the characteristics of always being preceded by texts, not understanding what is known and asked in the questions so they tend to blindly guess the answers and needed to be reminded of the prerequisite material. Based on the results of this study, teachers can develop learning media, project-based learning, scaffolding, and teaching materials that accommodate numeracy skills or differentiated learning.&lt;/span&gt;
Portrait of students’ language politeness in elementary school

Authors:
raw_author_name: Ari Susandi
raw_affiliation_string: Universitas Negeri Yogyakarta
raw_author_name: Zamzani Zamzani
raw_affiliation_string: Universitas Negeri Yogyakarta

Abstract: &lt;span lang="EN-US"&gt;This study described students’ language impoliteness during the Indonesian language learning process taking place at &lt;/span&gt;&lt;span lang="EN-US"&gt;elementary school in the Kediri Regency, East Java Province, Indonesia.&lt;/span&gt;&lt;span lang="EN-US"&gt; This study used a qualitative approach to the type of qualitative descriptive research. The research participant of this study were elementary school educators and students in Kediri, East Java, Indonesia, who have a rough and smooth Javanese language culture when communicating with teachers during the learning process in class. The results of the study showed that all politeness maxims were violated in the learning process. Language politeness must continue to be implemented in elementary schools because it is still being discovered violation of the maxim of wisdom is shown when students give long-winded statements to educators. Violation of the maxim of generosity is shown when students give emotional statements to educators. Violation of the maxim of praise is shown when students express criticism at will, to both educators and friends. Violation of the maxim of politeness is shown when students make statements that demean the speech partner. Violation of the maxim of agreement can be seen when students are giving very harsh statements and ignoring the rules of the speech partners. The violation of the maxim of sympathy is shown when students do not have sympathy for the speech partner who is having difficulty. Language politeness is very important for the world of education as an effort to familiarize students as the nation’s next generation with polite language.&lt;/span&gt;
TLFS23 Tamil Language Fingerspelling Dataset

Authors:
raw_author_name: Bavesh Ram S
raw_affiliation_string: Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India
raw_author_name: Chirranjeavi M
raw_affiliation_string: Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India
raw_author_name: Aaruran S
raw_affiliation_string: Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India
raw_author_name: Binoy B Nair
raw_affiliation_string: Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India
raw_author_name: Harikumar M E
raw_affiliation_string: Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India

Abstract: Tamil is one of the oldest existing languages, spoken by around 65 million people across India, Sri Lanka and South-East Asia. Countries such as Fiji and South Africa also have a significant population with Tamil ancestry. Tamil is a complex language and has 247 characters. A labelled dataset for Tamil Fingerspelling named TLFS23 has been created for research related to vision-based Fingerspelling translators for the Speech and hearing Impaired. The dataset would open up avenues to develop automated systems as translators and interpreters for effective communication between fingerspelling language users and non- users, using computer vision and deep learning algorithms. One thousand images representing each unique finger flexion motion for every Tamil character was collected overall constituting a large dataset with 248 classes with a total of 2,55,155 images. The images were contributed by 120 individuals from different age groups. The dataset is made publicly available at : https://data.mendeley.com/datasets/39kzs5pxmk/2
3-D Shape Measurement of Translucent Objects Based on Fringe Projection

Authors:
raw_author_name: Dongliang Ding
raw_affiliation_string: School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing, China
raw_author_name: Junhua Sun
raw_affiliation_string: School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing, China

Abstract: Fringe projection profilometry (FPP) has been widely used in various fields because of its advantages of non-contact, non-destructive, high-precision, and high-speed. However, due to the subsurface scattering effect, FPP encounters severe challenges when performing three-dimensional (3D) measurements of translucent objects. Based on FPP, this paper proposes a novel 3D measurement method for translucent objects using periodic line-fringe patterns and complementary Gray code patterns. By photographing a set of periodic line-fringe patterns with different phases and performing multi-Gaussian sum fitting on the grayscale values of the same pixel position in different images, the wrapping phase of the fringe corresponding to the maximum fitted grayscale value can be obtained. Furthermore, a novel complementary Gray code method is proposed to solve the absolute phase, which avoids phase unwrapping errors caused by subsurface scattering. Comparative experimental results show that the point cloud of translucent objects obtained using the proposed 3D reconstruct method is more complete, denser, and smoother, and more accuracy. The fitting diameter errors of the reconstruction results of the translucent nylon sphere and PP sphere are 0.025 mm and 0.044 mm respectively. In addition, our method can use the conventional binocular stereo vision system based on grating projection, without modifying the hardware system.
A Tourism Dataset from Historical Transaction for Recommender Systems.

Authors:
raw_author_name: Choirul Huda
raw_author_name: Yaya Heryadi
raw_author_name: None Lukas
raw_author_name: Widodo Budiharto

Abstract: The tourism industry has currently grown in various aspects, including the types of attractions, their quantity, and the number of tourist visits in various regions, contributing positively to both regional and global economies. Historical transactions are essential for developing recommender systems, utilizing techniques such as Collaborative Filtering and Demographic Filtering. TripAdvisor is a reputable website providing a wide range of accessible tourism information, including attractions, user profiles, and ratings. However, this unstructured raw data requires processing to create an adequate dataset for recommender systems. This study conducted a series of data processing steps on the raw data, including data restructuring, validation, content addition, integration with Google Maps, normalization, and modeling. This study successfully produced an original dataset comprising User Transaction, Item or Attraction, Attraction Type, Continent, Region, Country, City, and Visiting Mode. It also includes an entity relational model for tourism in Indonesia, particularly in Bali, Malang, and Yogyakarta regions, based on various global user experiences. This dataset is adequate and essential for developing various models of tourism recommender systems such as using Collaborative Filtering.
Balancing exploration and exploitation: Unleashing the adaptive power of automatic cuckoo search for meta-heuristic optimization

Authors:
raw_author_name: Subrat Kumar Nayak
raw_affiliation_string: Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan (Deemed to be) University, Odisha, India
raw_author_name: Biswa Ranjan Senapati
raw_affiliation_string: Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan (Deemed to be) University, Odisha, India
raw_author_name: Debahuti Mishra
raw_affiliation_string: Department of Computer Science and Engineering, Siksha O Anusandhan University Institute of Technical Education and Research, 8 Bhubaneswar, Odisha, India

Abstract: Meta-heuristic optimization algorithms are versatile and efficient techniques for solving complex optimization problems. When applied to clustering algorithms, these algorithms offer numerous advantages over traditional optimization methods, including global search capabilities, iterative refinement processes, robustness to initial conditions, and flexibility in handling diverse clustering objectives and constraints. Employing meta-heuristic optimization in clustering algorithms leads to improved accuracy, scalability, robustness, and flexibility in finding optimal or near-optimal clustering solutions. These algorithms generate new individuals iteratively using nature-inspired operations to obtain high-quality results. However, they often suffer from slower convergence and lack guarantees of finding the best solution for every problem, posing ongoing challenges in algorithm development. This study focuses on addressing the issue of premature convergence in metaheuristic algorithms by introducing an automatic cuckoo search (AuCS) algorithm. The AuCS algorithm aims to strike a balance between exploration and exploitation by dynamically updating the step size in each generation, thereby avoiding premature convergence. To evaluate the effectiveness of the proposed algorithm, experiments were conducted on 13 standard benchmark functions and 14 CEC 2005 benchmark functions. In overall performance, AuCS has the best optimum value in 72.22% of cases. This demonstrates the efficacy of the proposed algorithm in achieving improved clustering accuracy and minimizing intra-cluster distance. The proposed AuCS algorithm was applied to data clustering and compared with four swarm optimization algorithms. Here, AuCS outperforms these well-known algorithms in 5 out of 7 datasets. The experimental evaluations in both benchmark functions and clustering problems confirm the promising results of the proposed algorithm, suggesting that AuCS could be considered as a potential improvement over the cuckoo search algorithm.