Reviewerly/exHarmony huggingface dataset:
Differences In The Use Of IctBased Learning Media With Image Learning Media Towards Basic School Student Outcomes In The Pandemic Covid 19

This study was carried out in the Kabanjahe district of SD Muhammadiyah. The goal of this researchwas to determine the results of learning science in Class IV SD Muhammadiyah, Kabanjahe Regency, byapplying ICT-based training media. To understand the effects of science-based learning in Class IV SDMuhammadiyah , Kabanjahe Regency, and to recognize variations in the outcomes of science-based educationby the use of ICT-based learning media and image-based learning in SD Mumammadiyah fourth graderstudents. This type of research in this research is this type of research in the form of a one-shot case study usinga pre-experimental design. The participants in the sample included 22 people in class IV / A SDMuhammadiyah, Kabanjahe Regency, and 22 individuals in class IV / B SD Muhammadiyah Kabanjahe. Testsand reports were used for data collection. The t-test formula was used for the data analysis methodology. On thebasis of the findings of the information, it has been shown that the effects of scientific learning vary between theuse of ICT-based learning mediums and picture-based learning media on living beings in grade IV, SDMuhammadiyah Kabanjahe, Kabanjahe Regency. This inference is based on the average final outcome ofstudents, with an average ICT student of 76,82, and an average picture learner of 68,64. It also illustrates thatthe use of ICT-based education media is more potent than picture-based learning media. The results of thestatistical data analysis 't evaluation' indicate that the results obtained t table = 1. 720, and the results of the ttestcalculation t count = 1.945, such that Ho is refused, and Ha is accepted, compared to t count and t, thereforet count > t.
Technical and Implementation Issues in Reading Literacy Interactive Games

The technology-based learning process is able to influence pupils on learning and teaching, especially the use of interactive games can transform the way learning of problematic learners in reading skills. Although interactive games are said to be very effective in learning but there are still many technical and implementation shortcomings on remedial education students which identified as slow learners. This paper focuses on technical and implementation issues which restrict the effective integration of Reading Literacy Interactive Games (RLIG) in learning of reading skill among slow learners. The aim of this study is to investigate the critical issues and develop the effective RLIG in order to fulfill the slow learners’ needs. Therefore, a need-analysis was conducted to investigate the issues of technical and implementation of RLIG among slow learners. The findings revealed that there are many technical and implementation issues that restricted slow learners from adapting RLIG in the process of teaching and learning. The findings of this research can assist educators to improve the development of RLIG by incorporating relevant pedagogical approaches and game-based features in the development process.
To develop students’ spatial and imagination constructive thinking

The article deals with the development of the constructive ability of teachers of mathematics during the process of methodological training, which is closely connected to the informational, explicating, stimulating functions of a teacher. The use of a computer textbook in the classroom of descriptive geometry allows, with a significant increase in the pace of learning, to improve the quality of knowledge in connection with the development of such mental processes as memory and spatial thinking, and, as a consequence, to increase interest in descriptive geometry.
Subduing Cyber Threats to Secure the Financial Sector of Bangladesh

The banking system of Bangladesh is facing major security threats because it is easier to get cash and customer’s information from this sector. To ensure cyber security of the financial services organizations, introducing cutting-edge technologies, artificial intelligence and orchestration are essential. ICT related training among the employees as well as raising technological awareness among the computer users can prevent the problem. Government should take bold action to combat the cyber crooks.
Optimal Subspace Analysis Based on Information-Entropy Increment

The data structure is becoming more and more complex, and the scale of the data set is getting larger and larger. The strong limitations and instability in the high-dimensional data environment is showed in traditional outlier detection method. To solve the problems, an Optimal subspace Analysis based on Information-entropy Increment is proposed. The concepts such as mutual information and dimensional entropy to re-portrait the indicators that measure the pros and cons of subspace clustering, optimize the objective function of the clustering subspace, and obtain the optimal subspace. According to the idea of dividing the information entropy increment by one, the entropy outlier score is proposed as a metric to detect outliers in the optimal subspace. Finally, experiments verify the effectiveness of the algorithm.
Impact-Resistant Flying Platform for Use in the Urban Construction Monitoring

A case study drone that constitutes a shock-resistant aerial vehicle is discussed in the chapter. The aerial motor platform is placed in gimbal joints of the exclusive framework (shell). The platform is a helicopter type aerial vehicle powered with two coaxial rotors of contra rotation. Mathematical model of the platform spatial dynamics bases Lagrange's equations to bring reliable solutions so that advanced model-based control law design techniques can be used. Though the case study implies utilizing an automatic flight mode of the aerial vehicle, it can be piloted remotely on radio. The on-board video cameras and other sensors are used to bring about both navigational duties and surveillance missions such as building constructions monitoring.
Design of earthquake early warning system based OMRON D7S vibrate sensor

Abstract Indonesia is a country that is very prone to earthquake. This disaster can have a very large impact from main destruction of ground motion and secondary destruction from building rupture. By providing early warning system, secondary disasters caused by the earthquake, such as fire due to gas leakage, electric shock or loss of important personal data, can be prevented. This research designs an early warning system against earthquakes, where the sensor used was 3d accelerometer-based OMRON D7S vibration sensor. A warning is also sent to personnel or web-server via GSM communication. The system calibrated with a standard tool MEISEI G401 owned by Indonesian Earthquake Agency (BMKG). Test showed that early warning system have accuracy value of 74.32%. From the testing that has been done, the time delay in sending data is greatly influenced by the state of the surrounding environment. Data is sent and stored to an SQL-based database, with an average delivery delay of 1.7 seconds. This system successfully provides an early warning using the buzzer alarm as desired. The percentage of success of the buzzer turns on as desired is 100%.
Level of readiness of users of integrated information systems at UIN Sunan Gunung Djati Bandung using framework Strategy, Technology, Organization, People, Environment (STOPE)

Abstract The optimal utilization of integrated information systems at state universities will be obtained if there are readiness users in the implementation of information technology. Knowing the readiness level of users required as readiness evaluation in the application of an integrated information system. Evaluation of users readiness level at the State Islamic University of Sunan Gunung dating Bandung in the implementation of integrated information systems based on STOPE Framework, this is aiming to measure users readiness level at State Islamic University of Sunan Gunung Djati Bandung to integrated information systems and providing a recommendation base on evaluation result and influence identification of domains on STOPE Framework. Approaching methods or frameworks are made and suggested to analyse the level of readiness. One of them is the STOPE framework approaching, which is used for this research. Strategy, Technology, Organization, People, and Environment (stope) are the development of the Listone method which research the development of technology in society by notice 3 of the main domains, such technology, “T”, Institution or organization and the individual or people. The goal of this research is to give valuation through the readiness of integrated information system users, which is useful for developing an integrated information system. The valuation of readiness in this research by using the STOPE framework, evaluation of 5 domains, 16 issues, and 39 Factors. The result of the analysis shows that from all Strategy, Technology, Organization, People, and Environment of Islamic State University, Sunan Gunung Djati Bandung is ranked 3 on scale 4 through the Integrated information system. Of the STOPE framework, the Islamic State University of Bandung level is ranked 3 on scale 4 through an integrated system.
ON THE SEARCH FOR INNOVATION IN TEACHING PHILOSOPHY IN THE CONTEXT OF SOCIETY TRANSFORMATION

The article is devoted to the search for innovations in teaching philosophy during the periods of transformation of Russian society, in the era of changes that have occurred twice over the last century. The first transformation, which covered the period from 1917 to 1937, was associated with the conquest of power by the Bolshevik Party, the construction of socialism, and the establishment of the dominant positions of Marxism-Leninism. The second transformation, which took place in 1991-2012, had a directly opposite direction: from socialism back to capitalism. It was characterized by the loss of power by the communists, the destruction of the socialist system, and the rejection of Marxism-Leninism. Both transformations had a direct impact on the teaching of philosophy in Russia. The Bolsheviks, in order to achieve their goal of building socialism and communism, widely used both the methods and techniques of teaching philosophy already known at that time and were looking for innovations. The task then consisted in the creation of a socialist intelligentsia with a Marxist-Leninist worldview. Innovation was meant to hastened this process. A similar situation developed during the second transformation of Russian society. Innovations in teaching philosophy were needed again, but now with the aim of destroying the socialist system and establishing capitalist relations. In both the first and second transformations, applied innovations in the teaching philosophy served certain political forces to establish their dominance, but for different reasons and in various ways.
Toward Benevolent AGI by Integrating Knowledge Graphs for Classical Economics, Education, and Health

This chapter considers the contributions that may be made to the evolution of an ethical and compassionate form of artificial general intelligence (AGI) by integrating knowledge graphs for classical economics, education, health, and space science. Classical economics offers pathways to the evolution of a form of AGI characterised as moral, ethical, and providing a capacity for building trust-based social capital of societies. Pathways that can be elucidated by applications of machine and deep learning to knowledge graphs of the fields of classical economics, ethics, and social capital. A network platform based on the application of distributed ledger technology is proposed to provide the basis for eliciting insights from interdependences between an ever expanding digital-quantum cloud hosting similarly empowered knowledge graphs for an ever increasing myriad of advancing fields. Knowledge graph sketches for education, health, space science, and other fields germane to building social capital serve to illustrate this proposed process and attendant business opportunities.
Exploration on the cultivation of College Students' leadership under the smart campus system

The development of educational informatization has promoted the construction of smart campus in recent years. It is an integrated information technology means which combines all aspects of College Students' campus life and learning based on Internet technology. Under these circumstances, the talent training work in Colleges and universities is facing new challenges. To carry out the work efficiently, it is necessary to make some innovations based on the traditional methods of College Students' leadership training and combine it with the construction of smart campus organically. In this paper, how to develop college students' leadership training under the smart campus system is discussed in detail by taking the University of Electronic Science and Technology of China (UESTC) as an example.
Decentralized extended Kalman filter of multi-robot position

Abstract This paper will discuss the estimation of the multi-robot position. It may be difficult for all sensors to submit their observations due to communication constraints on the multi-robot system. Thus, in this paper, we will estimate the position of each robot with limited communication between robots using decentralized estimation. Since the multi-robot system is non-linear, the extended Kalman filter is used as an estimation method. The combination of decentralized estimation and extended Kalman filter is called a decentralized extended Kalman filter. In the multi-robot system, each robot is represented as a node that makes its prediction. Assumed that some of the nodes will interact with their closest neighbors, so the measurement information will be transferred. Based on simulation results, the decentralized extended Kalman filter algorithm runs well for estimation in a multi-robot position.
Design and Implementation of Motion Envelope for a Moving Object Using Kinect for Windows

Everything we see around us is three-dimensional (3D) in nature. The traditional cameras throw light on two-dimensional (2D) behavior of the objects without considering the third dimension or the depth information. This poses a restriction on understanding the complete behavior of any object in space. Thus, this work aims at enlarging the scope of studying and analyzing the 3D behavior of an object through depth imaging. It has its application across the field of robotics and Ergonomics [2]. Ergonomics deals with designing the workspaces and components based on the requirement of the users. The 3D volume occupied by an object moving in space is one of the key focus of ergonomics. This volume representation of an object is known as Motion Envelope (ME). This paper proposes a unique approach to extract the ME of an object moving in space. Techniques like feature extraction is used to detect the required object followed by homography [3] to estimate its pose with motion in space. The 3D position of the object is tracked to reproduce the path followed by the object and a 3D object model is aligned to the detected path to reconstruct the ME. Kinect [6] V1 with colour and depth imaging capabilities is used as the depth sensing device. The results shown in this paper include the object detection and tracking for objects of different shapes and surfaces. The object tracking results are processed to construct ME using the proposed algorithm. This approach emerges to be cheaper and accurate due to the low cost associated with the Kinect sensor compared to the traditional laser-based depth sensors. Thus, we can conclude that this work leads us one-step further in analyzing and understanding the complexity of real-world 3D objects.
Caurviju prasmju pilnveides aspekti augstskolu studiju procesā

In the recent years, the higher education has become widely available to society in many countries in the world, and the enrolment numbers in universities have increased also in Latvia, but the number of obtained qualifications or degrees differ significantly, as well as the percentage of involvement in the exact science study programmes remains low. The author draws attention to students' broad skills as one of the possible preconditions for sustainable studies and concludes that the transversal skills that have been acquired in the learning process and defined in the general education standards largely correspond to a broad skills needed by the students. The acquisition of transversal skills in the learning process, as it is set out in the general education standards of all grades, could be sufficient for starting studies and acquiring a qualification or a degree, however, the reasons for termination of studies are related to the level of acquisition of transversal skills. The results of several studies demonstrate the impact of art for creating an environment and conditions leading to improved academic, social and behavioural study outcomes. In turn, arts therapy, which has its origins in art, psychology and psychotherapy and is based on a holistic approach, focuses on the growth and development of the individual in all areas of human experience: intellectual, emotional, social and spiritual. The results obtained in the theoretical study highlight the need for further theoretical and empirical research on the improvement of transversal skills in the higher education process and on the use of the pedagogical aspect of arts and arts therapy in the improvement of transversal skills in the higher education study process.
Exploiting an Ontology-Based Solution to Study Code Smells

Code smells (CS) are anomalies in the source code of software which may affect its structure and quality. They affect the maintainability of the systems because reduce reusability and make difficult the analysis of code. The coexistence of these errors causes architectural problems that hinder the maintenance process and evolution of the software, increasing future failures. CS usually rises due to the adoption of bad programming practices. Hence, the knowledge and skills of the developers and architects are crucial to avoid them. To address this issue, in this paper we introduce an ontology-based approach to represent and analyze the knowledge about CS. To develop the ontology, the well-known Protégé tool was used and a sound methodology for the development of ontologies was followed. This approach could be a useful instrument to enhance the knowledge of the software developers and architects. Finally, some evidences that proof the impact of the approach are presented.
Label Definitions Augmented Interaction Model for Legal Charge Prediction

Charge prediction, determining charges for cases by analyzing the textual fact descriptions, is a fundamental technology in legal information retrieval systems. In practice, the fact descriptions could exhibit a significant intra-class variation due to factors like non-normative use of language by different users, which makes the prediction task very challenging, especially for charge classes with too few samples to cover the expression variation. In this work, we explore to use the charge (label) definitions to alleviate this issue. The key idea is that the expressions in a fact description should have corresponding formal terms in label definitions, and those terms are shared across classes and could account for the diversity in the fact descriptions. Thus, we propose to create auxiliary fact representations from charge definitions to augment fact descriptions representation. Specifically, we design label definitions augmented interaction model, where fact description interacts with the relevant charge definitions and terms in those definitions by a sentence- and word-level attention scheme, to generated auxiliary representations. Experimental results on two datasets show that our model achieves significant improvement than baselines, especially for dataset with few samples.
A Study of Three Statistical Machine Translation Methods for Myanmar (Burmese) and Shan (Tai Long) Language Pair

Shan is said to be the second-largest ethnic group of Myanmar. The main motivation is to break down the communication barrier between Shan people and Myanmar people. This paper contributes to the first evaluation of the quality of machine translation between Myanmar (Burmese) and Shan (Tai Long). We also built a Myanmar-Shan parallel corpus (around 11K sentences) based on the Myanmar language of the ASEAN MT corpus. In this research, three different statistical machine translation approaches were used to carry out the experiment: phrase-based, hierarchical phrase-based, and the operation sequence model. Furthermore, two different segmentation schemes were studied, these were syllable segmentation and word segmentation. Translating with syllable segmentation achieved higher quality machine translation for both Myanmar and Shan languages. BLEU and RIBES scoring techniques are used to measure the performance of the machine translations. The operation sequence model gave the highest scores (41.85 BLEU and 0.88031 RIBES) for Shan to Myanmar syllable translation. For Myanmar to Shan syllable translation, hierarchical phrase-based machine translation gave the highest BLEU score of 34.72 and the operation sequence model gave the highest RIBES score of 0.87012. Our experimental results with syllable segmentation produced promising results even with low data resources and we expect this can be developed into a useful translation system as more data comes available in the future.
A Bayesian Approach to Cluster Sampling Under Simple Random Sampling

Two-stage cluster sampling arises when units in the population belong to groups or clusters, and drawing a sample must proceed in two stages. First, a subset of the clusters is chosen, and then within the selected clusters, a subset of the units within a cluster is selected. When there is little available prior information about the population, simple random sampling without replacement is often used at both stages, and the ratio estimate is used to estimate the population total. Here, we will compare this estimate with two Bayesian alternatives and see that the Bayesian estimators are a slight improvement over the standard method.
Research on the Multi-dimensional Training Path of Higher Vocational Software Majors

Aiming at adapting to economic development and serving industry development, higher vocational education applies high-quality educational resources to serve social industries and industries and takes the “connotative” path of cultivating technical and skilled talents, which has achieved good social effects and reputation. Therefore, based on the analysis of the “professional skills” of software technology majors, the multi-dimensional ways of students' training in improving professional skills are systematically studied in the paper, which uses professional engineering practice vocational skills as the docking point to explore an industry-driven docking mode and effectively improves the professional vocational skills and vocational innovation skills between the “production, learning, and innovation” of software technology students and the “production, teaching, and research” of teachers.