Reviewerly/exHarmony huggingface dataset:
Analysis and Design of Information Systems for Lecturer Performance Reports at Jambi Muhammadiyah University

In a tertiary institution, the existence of lecturers is needed to carry out the tridharma activities of higher education and it is the responsibility of the lecturers themselves. Higher Education Tridharma covers Education, Research and Service. There are several problems that researchers see related to the performance of lecturers, especially for the University of Muhammadiyah Jambi Higher Education. So far, the processing of lecturer performance data at the University of Muhammadiyah Jambi is carried out conventionally, namely inputting data into Microsoft Excel by the admin on duty and additional files that have been submitted by each lecturer are simply stored on the computer without a data center or centralized data storage. . The purpose of this study is to analyze and design a lecturer performance report information system that is able to simplify business processes, use lecturer performance reports according to needs and process lecturer performance data which includes identity data, lecturer tridharma data, and other supporting data more effectively and efficiently by system prototyping method that produces a web-based lecturer performance report information system at the Muhammadiyah University of Jambi to overcome existing problems
A collaborative inspection system composed of quadruped and flying robot for crack segmentation in tunnel environment

Advanced robotic systems involving unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) have shown advantages in detecting damaged infrastructures, such as bridges, buildings, and nuclear power plants.Due to their ability to leverage varied vantage points, a robot team of heterogeneous UAVs and UGVs could collect full space information of the structure with wider coverages and higher robustness compared with that from each robotic platform alone.However, critical issues still exist when applying the UAV-UGV inspection system in the tunnel environment.One major problem is that the lack of light and GPS signals may lead to a higher probability of UAV collisions.Another problem is that the road surface in the tunnel is generally uneven with many obstacles and puddles, which could hinder the travel of traditional wheeled or tracked UGVs.To address the above issues, a novel collaborative robotic system was proposed that consists of a quadruped robot with strong obstacle-striding abilities and a collision-resilient UAV.In the proposed inspection framework, the quadruped robot follows a pre-planned path and scans the tunnel lining with the vision sensor.Based on the scanning results, the UAV equipped with a protective cage would be launched from the helipad of the quadruped robot to perform a closer inspection.To correct its flight trajectory and protect the UAV, a GPS-free self-localization algorithm is constructed based on the data from the onboard computer, camera, and inertial measurement unit (IMU).Finally, to ensure that the tiny defects can be detected efficiently, a multi-scale feature fusion segmentation network with the attention mechanism was applied to images taken by the UAV.The performance of the system is validated against a field test, which demonstrates the feasibility of developing and deploying a collaborative inspection system using quadruped and flying robots for tunnel inspection.
Preface

The 6 th International Conference on Intelligent Manufacturing and Automation (IMA 2023) took place in Guangzhou, China from January 13 th to 15 th , 2023 (virtual form). It is committed to bringing professionals and scholars to deliberate on the future of Intelligent Manufacturing and Automation, and bring new horizons and insights to the related researchers and practitioners. With the successful experience of the past 5 years, the 6 th International Conference on Intelligent Manufacturing and Automation was an even greater success in 2023. Focusing on “Intelligent Manufacturing and Automation” and related research areas, IMA 2023 brought together leading personnel from all over the world to share views and experiences and exchange ideas, promoted the research and developmental activities in Intelligent Manufacturing and Automation, and facilitated future business or research contacts among all the participants. After months of well preparation and hard work, the proceedings of IMA 2023 covering a bunch of papers, having been checked through rigorous review and processes to meet the requirements of publication, are smoothly published. These papers feature but are not limited to the following topics: Biomedical Manufacturing, Rapid Manufacturing Technologies, Electric Automation, Mechanical Manufacturing and Automation, etc. We had about 80 participations both as speakers and participants, including researchers, teachers, students, industrial experts, and professionals. During the keynote speech part, each keynote speaker was given 30-40 minutes for keynote speech. Among them, Professor Zongmin Ma from North University of China, China performed a keynote speech: Research on the Development Progress and Application of NV Solid-State Atomic Magnetometer. He mainly discussed about the magnetic measurement principle, key measurement technology and integration technology of NV color center in quantum sensing, and put forward the technical development direction for the current technical problems. In addition, he also summarized the preliminary practical applications of NV magnetometers in the fields of geomagnetic detection, nondestructive testing, biomedicine and other fields in recent years. The insightful speeches of each keynote speakers triggered interesting discussions and a good number of informal talks between all the participants. We would like to thank all the participants in the 6 th International Conference on Intelligent Manufacturing and Automation. Besides, our special acknowledgement goes to the Journal of Physics: Conference Series, for the endeavor of all its colleagues in publishing this paper volume. May this venture be a spark that ignites many new inventions in the fields of Intelligent Manufacturing and Automation. The Committee of IMA 2023 List of Committee Member is available in this pdf.
Research on Energy Trading Mechanism of Zero carbon Park Based on Blockchain Technology

In the context of global climate change and various environmental problems, stabilizing the global average temperature, implementing near zero carbon emissions, and finally achieving absolute zero carbon emissions in the future have become an important task of China’s ecological civilization construction. As an important population and industrial cluster, the park is the carrier of important economic and social activities, so the park is the most important form to achieve the dual carbon goal. Based on blockchain technology, this paper comprehensively uses carbon neutral mechanisms such as zero carbon energy substitution, low carbon technology, carbon sequestration and carbon sink, and purchase of voluntary emission reductions to gradually reduce the carbon emissions in the park to zero, and finally realizes intelligent and automatic management of carbon emission reduction management in the park.
ANALISIS PERKIRAAN DEBIT ALIRAN PADA DAERAH ALIRAN SUNGAI UNDA BERBASIS SISTEM INFORMASI GEOGRAFIS (SIG)

The limited flow data is an obstacle that often occurs in the analysis of water availability. To obtain this data, nowadays there are many prediction models for flow discharge. Remote sensing technology can improve the development of conventional rainfall–runoff relationship model studies. With this technology, it can help predict the runoff discharge for each Sub-watershed. The Unda watershed is one of the potential watersheds in the province of Bali. The flow discharge analysis was carried out using the overlay method by overlaying the land use map and the soil type map in the Unda watershed so as to obtain the CN value, then proceed with calculating the predicted flow rate using the SSCN method. From the analysis in the last ten years there have been fluctuations in discharge, where the largest discharge ever occurred was 10,569 m3/s in 2013 in the Telagawaja sub-watershed and the lowest was 0.079 m3/s in the Tanah sub-watershed in 2010. For the Telagawaja sub-watershed in the last ten years the average discharge -the average is 8.068 m3/s, Masin sub-watershed 0.963 m3/s, Tanah sub-watershed 0.163 m3/s, Nyuling sub-watershed 0.705 m3/s, Kaun sub-watershed 1.653 m3/s, Yeh Batah sub-watershed 0.564 m3/s Unda is 1.722 m3/s, and Sangsang sub-basin is 0.764 m3/s.
Personal A.I. Desktop Assistant

&#x0D; &#x0D; &#x0D; &#x0D; Early As we all know, how life is interlinked with the technology and the use of AI. AI-powered voice assistants have become an integral part of our lives, intertwining technology and daily tasks. A Personal Virtual Assistant allows a user to command or ask questions in the same manner that they would do with another human and are even capable of doing some basic tasks like opening apps, doing Wikipedia searches without opening a browser, playing music etc, with just a voice command. This project presents the development of a personal desktop assistant using Python, aiming to provide convenience, automation, and assistance to users in their computer-related activities. The assistant incorporates features such as voice recognition, natural language processing, and integration with external APIs to enhance its functionality and user experience.&#x0D; The assistant differentiates itself from existing solutions by offering a highly customizable and extensible platform. Users can tailor the assistant's behavior and functionality to their specific needs, while also benefiting from integration with popular tools and services. The user interface is designed to be intuitive and user-friendly, providing a seamless experience for both novice and experienced users. By creating a personal desktop assistant that combines convenience, automation, and personalized features, this project aims to enhance users' productivity and efficiency in their day-to-day computer tasks.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Blockchain-based trust management collaborative system for transport multi-stakeholder scenarios

A trend in future networks (i.e., beyond 5G and 6G) is the increasing virtualization and disaggregation of networks (i.e., Open Radio Access Network, network function virtulization/software-defined networking, or disaggregated optical networks, among others). This trend leads to a multi-vendor situation appearing in the telco arena (i.e., hardware suppliers, software function providers, vendors, operators) that communications service providers will need to deal with. This multi-stakeholder scenario complicates provisioning and the established relationships among actors based on operation agreements that define the requirements, penalties, and prices that generate a certain level of trust among them. This new disaggregated scenario implies an increment of possibilities and relationships, requiring agreements to be created in a run-time way. As the agreement is generated ad hoc , selecting a provider is a crucial decision, and so, trust and transparency are keys to help with this decision. As trust is a human/subjective concept, it is necessary to find a way to convert it into an objective parameter that can be used in an analytical field such as network control and management. This paper aims to present a model to compute the reputation of a provider based on a set of specific and measurable parameters and the use of Blockchain to make all of the process transparent and reliable to all players involved. Furthermore, this paper shows the design for a Blockchain-based Trust Manager that can compute and distribute the reputation and trust parameters to define how trustworthy are the multi-stakeholders. Finally, an experimental validation is presented on top of an optical transport network.
Coherent qubit measurement in cavity-transmon quantum systems

A measurement of the time between quantum jumps implies the capability to measure the next jump. During the time between jumps the quantum system is not evolving in a closed or unitary manner. While the wave function maintains phase coherence it evolves according to a non-Hermitian effective Hamiltonian. So under null measurement the timing of the next quantum jump can change by very many orders of magnitude when compared to rates obtained by multiplying lifetimes with occupation probabilities obtained via unitary transformation. The theory developed in 1987 for atomic fluorescence is here extended to transitions in transmon qubits. These systems differ from atoms in that they are read out with a harmonic cavity whose resonance is determined by the state of the qubit. We extend our analysis of atomic fluorescence to this infinite level system by treating the cavity as a quantum system. We find that next photon statistics is highly nonexponential and when implemented will enable faster readout, such as on timescales shorter than the decay time of the cavity. Commonly used heterodyne measurements are applied on timescales longer than the cavity lifetime. The overlap between the next photon theory and the theory of heterodyne measurement which are described according to the stochastic Schr\"odinger equation is elucidated. In the limit of large dispersion the intrinsic error for next jump detection, at short time, tends to zero. Whereas for short-time dyne detection the error remains finite for all values of dispersion.
Predicting Human Activity – State of the Art

Predicting human actions is a very actual research field. Artificial intelligence methods are commonly used here. They enable early recognition and classification of human activities. Such knowledge is extremely needed in the work on robots and other interactive systems that communicate and cooperate with people. This ensures early reactions of such devices and proper planning of their future actions. However, due to the complexity of human actions, predicting them is a difficult task. In this article, we review state-of-the-art methods and summarize recent advances in predicting human activity. We focus in particular on four approaches using machine learning methods, namely methods using: artificial neural networks, support vector machines, probabilistic models and decision trees. We discuss the advantages and disadvantages of these approaches, as well as current challenges related to predicting human activity. In addition, we describe the types of sensors and data sets commonly used in research on predicting and recognizing human actions. We analyze the quality of the methods used, based on the prediction accuracy reported in scientific articles. We describe the importance of the data type and the parameters of machine learning models. Finally, we summarize the latest research trends. The article is intended to help in choosing the right method of predicting human activity, along with an indication of the tools and resources necessary to effectively achieve this goal.
The Impact of Intellectual Capital on the Financial Performance in Insurance Firms Listed in Amman Stock Exchange: Using the (VAIC) Model

Purpose: The aim of this study is to examine the impact of intellectual capital (human capital, structural capital, and employed capital) on the financial performance of listed insurance companies in the Amman Stock Exchange Theoretical framework: Intellectual capital has become increasingly important in generating value for companies, and many researchers have linked it to corporate financial performance and strategic competitive advantage. Design/methodology/approach: The study population consist of 21 insurance companies listed on the Amman Stock Exchange in Jordan during the period of 2011-2020. Intellectual capital was measured using the value added intellectual coefficient model (Pulic, 2000), and its impact on financial performance was analyzed using published financial statements of the insurance companies. Findings: The results of the study found a statistically significant positive effect of human and employed capital on financial performance as measured by the rate of return on assets and return on equity. Furthermore, the study revealed a significant positive effect of intellectual capital, specifically human capital, on financial performance measured by market value (Tobin's Q). Research, Practical &amp; Social implications: The study suggests that insurance companies should treat intellectual capital as a strategic resource and monitor and invest in it periodically for continuous development. The study suggests building a positive organizational culture that supports intellectual capital is recommended Originality/value: This study contributes to the understanding of the relationship between intellectual capital and financial performance for the first time in the insurance industry in Amman Stock Exchange. The findings highlight the importance of managing and investing in intellectual capital as a strategic resource to enhance financial performance.
A corpus linguistic study of constructional equivalence for the Indonesian translation of ROB and STEAL based on the OpenSubtitles Parallel Corpus

Catford’s (1965) classic idea in translation theory indicates the measurability of translation equivalence. Following up on this idea, this paper offers a case study to measure the translation equivalence of English verbal near-synonyms ROB and STEAL (R&amp;S), especially the equivalence at the constructional level. Adopting a quantitative corpus linguistic method and the Construction Grammar approach, we analyse random usage samples of R&amp;S from English-Indonesian parallel corpus for the degree of constructional equivalence along two dimensions: (i) the profiled participant roles and (ii) the grammatical construction types of these verbs. We discover that the Indonesian translations maintain a high degree of equivalences along these dimensions, albeit with few variations. This suggests that the translators attempt to be as faithful as possible to the source texts. Furthermore, our study reveals the translation norms/typicality in how the constructional profiles of the near-synonyms R&amp;S are translated into Indonesian. The paper generally seeks to demonstrate how such a central notion as equivalence in translation studies can be investigated using parallel corpora and the quantitative corpus linguistic method.
The didactic approach to the intercultural dimensions of the educational process

Intercultural education is a relatively new concept in Romania and complex that encompasses a series of psychological, anthropological, linguistic, geopolitical, religious aspects.Also, carrying out the pedagogical activity in a multicultural setting requires special rigor in terms of respecting some principles and values: respecting human rights, the absence of discriminatory phenomena (all students are treated and respected equally regardless of gender, race, ethnicity, social class, religion, etc.), encouraging the expression of points of view, respect for different cultural values, capitalizing on cultural empathy.Intercultural psychology is the basis of understanding the way of action of an individual according to the influence on him of culture, customs, traditions.The heterogeneity of the student group requires a special approach from the teaching staff.He must have at least basic, usual information about ethnic and national diversities, elementary notions of the anthropology of peoples.In the absence of these notions, a difficulty can be noted in the implementation of the study discipline with everything it includes, the transmission of information, the evaluation of the accumulated knowledge, and the obtaining of feedback.
Penerapan Language Experience Approach dalam Meningkatkan Keterampilan Membaca Siswa di Kelas Rendah

Language Experience Approch is an approach to learning to improve elementary school students' reading skills. This study aims to determine the extent to which the Language Experience Approach (LEA) approach improves students' reading skills in lower grades. This research was conducted at SDN 01 Ladang Cakiah. The research uses a qualitative approach with interview techniques as a data collection tool. The research sample consisted of elementary school teachers who teach in lower grades. The results of the data analysis show that the students' experiences in learning with the LEA approach are very positive. Teachers revealed that learning with the LEA approach made them more interested in reading because they were given the opportunity to use their own language in learning. In addition, learning with the LEA approach encourages active participation of students in learning. This study shows that the LEA approach is very effective in improving students' reading skills in lower grades. Therefore, the LEA approach can be used as an effective alternative learning method in improving students' reading skills in low grades.
ANALISIS KUALITAS LAYANAN WEBSITE PROGRAM STUDI SISTEM INFORMASI MENGGUNAKAN METODE WEBQUAL 4.0 DAN IMPORTANCE PERFORMANCE ANALYSIS (IPA)

The growing development of information technology makes information technology a very important resource for government and private organizations. The same applies to the university environment in student services. Amikom Purwokerto University is one of the many tertiary institutions that has implemented a web-based academic information system, including in one of its study programs, namely Information Systems. Based on interviews conducted by researchers with one of the lecturers in the Information Systems Study Program at Amikom University, Purwokerto, several problems were identified, such as the lack of regular updating of data and information on the website, the appearance of the website which was less attractive, and the lack of available content. Then, so that the company can be ready to compete with other similar websites, it is necessary to analyze the quality of the website, one of which is using the WebQual 4.0 method which is then assessed using the Importance Performance Analysis (IPA) method. The data were obtained by distributing questionnaires with 3 WebQual 4.0 variables based on the level of performance and the level of user expectations for the 85 samples that have been determined by calculating the Slovin formula. The data obtained is then assessed using the Importance Performance Analysis (IPA) method which produces recommendations to companies for actions that need to be taken on the website in order to improve and maintain the quality of the website. The results of the GAP analysis obtained 9 variables with positive values and 13 variables with negative values. While the results of the IPA analysis obtained variables that have been grouped into 4 quadrants, with 1 variable being the main priority, namely UQ8.