Reviewerly/exHarmony huggingface dataset:
Design of intelligent monitoring method for tunnel section deformation based on inclined Photogrammetry

Aiming at the problem of inaccurate monitoring caused by too little inclination analysis in traditional monitoring methods, an intelligent monitoring method of tunnel section deformation based on inclined photogrammetry is proposed. Firstly, the tilt photogrammetry technology is analyzed; Secondly, based on the inclined photogrammetry technology, the tunnel section information is extracted, the invalid section information is eliminated, and the section thickness is calculated; then; Based on the back removal of the section, the influence of the section inclination on the tunnel section deformation is determined to realize the final section deformation monitoring; Finally, the tunnel section deformation monitoring method is verified by experiments. The results show that this method can intuitively and comprehensively monitor the overall deformation of the tunnel.
Mixing Stochastic Exploration and Propagation for Pruning Neural Networks.

Any neural network may contain redundant connections, whose contribution to the dynamics of the network is low. In the extreme case, a connection is useless when it can be removed without changing anything. This paper gives a formal definition of useless connections and presents a new method for pruning neural networks based upon alternative steps of stochastic exploration and information propagation. The method works on any network with increasing, discrete activation functions. It has been implemented and compared with an exploratory pruning algorithm. The stochastic-propagative method is robust and always converges quickly; on the other hand, the exploratory algorithm explodes in about 10% of the test cases. The method has been applied to continuous activation functions, previously discretized. In this case, the error is equivalent to a noise in the states of the nodes. Experimentaily, the convergence time grows up linearly with the precision of digitalization.
The Effect of Positive Psychological Capital of Employee in the Service Industry on Information Security Policy Resistance Through Role Stress: The Moderating Effect on Communication and Feedback

As information threat management by organizational insiders is emphasized at the national level, information security(IS) policies and technology investments are increasingly centered on the financial industry. However, most service industries are still passive in internal IS management. This study points out that strict IS policies for insiders in the service industry can be expressed as IS policy resistance through role stress and confirms that individual positive psychological capital, organizational communication, and feedback support can reduce IS policy resistance. We surveyed workers in the service industry to which IS policies were applied and conducted path analysis by applying structural equation modeling to 342 samples. We confirmed that IS role stress had a partial mediating effect on the relationship between positive psychological capital and IS policy resistance. And it was confirmed that feedback moderated the relationship between positive psychological capital and IS policy resistance. We presented the individual and organizational preconditions to reduce the IS policy resistance of service industry insiders. As a result, our study provides a strategic direction for people-oriented service organizations to pursue to achieve the level of internal IS.
COMMUNICATIVE LANGUAGE TEACHING WITH REALIA TO ENHANCE STUDENTS’ ENGLISH VOCABULARY

This research discusses vocabulary improvement of second year student at Madrasah Tsanawiyah Madani Pao-pao, South Sulawesi, Indonesia using Communicative Language Teaching with Realia. Researchers intend to answer the question "Is the use of Realia in Madrasah Tsanawiyah Madani Pao-pao effective in improving the vocabulary of second-grade students in communicative language teaching (CLT)?" This study aims to understand how CLT and Realia improve the vocabulary of Islamic school students. This study applied a real experimental method of two variables: the independent variable (CLT with Realia) and the dependent variable (vocabulary mastery). In this study, 60 students were randomly selected to participate, 30 in the experimental class and 30 in the control class. This study uses a written vocabulary test as a tool. From the data analysis point of view, the students' vocabulary has improved significantly. It can be seen from the results of the average score of the control category (71.8) and the average score of the control category (63.8). From the research findings and discussions, it can be concluded that the application of CLT and Realia can improve students’ vocabulary in Madrasah Tsanawiyah Madani Pao-pao.
The psychological importance of attention in the formation of professional knowledge of teenagers

This article discusses the psychological characteristics of adolescents’ attention in shaping their professional cognitive skills. Knowledge is the reflection in the human mind of the objective world, its images, concepts and their forms. Emphasis is placed on the gradual acquisition of knowledge by adolescents and the stability of attention in the formation of their skills and competencies.
Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs

We investigate novel SoC-FPGA solutions for fast and energy-efficient ranking based on machine-learned ensembles of decision trees. Since the memory footprint of ranking ensembles limits the effective exploitation of programmable logic for large-scale inference tasks, we investigate binning and quantization techniques to reduce the memory occupation of the learned model and we optimize the state-of-the-art ensemble-traversal algorithm for deployment on low-cost, energy-efficient FPGA devices. The results of the experiments conducted using publicly available Learning-to-Rank datasets, show that our model compression techniques do not impact significantly the accuracy. Moreover, the reduced space requirements allow the models and the logic to be replicated on the FPGA device in order to execute several inference tasks in parallel. We discuss in details the experimental settings and the feasibility of the deployment of the proposed solution in a real setting. The results of the experiments conducted show that our FPGA solution achieves performances at the state of the art and consumes from 9 $$\times $$ up to 19.8 $$\times $$ less energy than an equivalent multi-threaded CPU implementation.
Students’ Difficulties in Vocabulary Mastery

The purposes of this study were to describe the students’ difficulties in vocabulary mastery and the factors that caused students’ difficulties in mastering vocabulary. This research employed qualitative approach using phenomenology design. The data were gathered by observation, interview, and document review. Data technique and data source triangulation were used to validate the collated data. The result of this research revealed that several students had difficulties in vocabulary mastery. This study showed that: first, the difficulties encountered by students were that the students got difficulties in translating words or sentences in English into Indonesian and vice versa. Students also experienced difficulties in understanding the meaning of words, pronunciation, misspelling, and remembering or memorizing English vocabulary. Secondly, there were some factors that caused students got difficulties in vocabulary mastery. Students were reluctant to open dictionaries and less interested in learning English. This condition became the hindrance for them to practice English regularly. The other issues were external factors such as inadequate facilities and the negative influence of friends that at the end have made them difficult to learn English especially vocabulary mastery.
Visualization for texture analysis of the Shitsukan Research Database based on luminance information

Thus far, there were the difference meaning and interpretation for definition of "Shitsukan".Therefore, there were many studies whether "Shitsukan" can be evaluated quantitatively or not.As one of the past our study, we carried out texture analysis for classification method of texture types by using the Shitsukan Research Database.As a result, we were able to see characteristics between contrast and correlation for texture types.In this paper, we analyzed statistically after comparing between texture analysis for classification method of texture types and luminance information in the Shitsukan Research Database for the free of charge obtained from Web.And then, we obtained novelty and knowledge discussing characteristics of texture types.
Assessing Net Rock of Oil Reservoirs by Combining the Morphology of Geological Units and Simulated Images of Rock Types: A Case Study

The spatial characterization of the net rock index (volume of rocks with potential for hydrocarbon storage) in oil reservoirs is very important because it allows differentiating between the zones with higher and lower productive potential in a single image. In this case study, a geostatistical workflow encompassing sequential indicator simulation (SIS) method was applied on real data, and the net rock index was constructed at the end by combining the thickness of the reservoir geological units and the likelihood of occurrence of lithologies with medium–high porosity and permeability such as the sandstones. The resulting net rock image correctly combines the available seismic and well data and balance the local and regional uncertainty of the studied reservoir volume.
SISFOSPEM (Information System of Supervision, Reporting, Evaluation and Monitoring) East Java Regional Work Council

In collecting data on the work program reports of the East Java Branch Work Councils, the East Java Regional Work Councils obtain data from forms sent via email to each branch. In 2020, supervision was carried out by sending SPEM instruments via google forms, in which data collection and the data have been recording manually via excel. That data collection and report task are very ineffective because it takes a long time to collect and sort the data. In order to overcome the problems, a SPEM information system is needed as a medium for delivering information as well as supervising, reporting, evaluating, and monitoring the Branch Work Councils throughout East Java. In making this information system, we use the waterfall research methodology, where there are six stages of the system design process: problem identification, system requirements analysis, system design, system creation, system testing, and research analysis results. The result of this research is a SPEM information system. Furthermore, the test results using black-box testing state that the information system of SPEM that has been created can run well according to the expected criteria. The testing results using user acceptance testing with 18 respondents from the East Java Regional Work Council and 20 respondents from the Branch Work Council throughout East Java, stated that the SPEM information system is easy to use. This system is beneficial for users and organizations.
Theoretical and Methodological Aspects of Using Dialogue for the Purpose of Organizing Productive Interaction of Subjects of the Educational Process

The article in the historical and philosophical, psychological and pedagogical aspects considers the current problem of improving pedagogical education - the use of dialogue in the implementation of effective interaction of the subjects of the educational process. It is emphasized that the modern pedagogical system is faced with objective processes of democratization in society, with the requirements of cultural development in terms of the scientific and technological progress, and is characterized by changing disciplinary and compulsory regulatory dominant of education to the dominant of cultural activity and creativity. Dialogue is analyzed as a form and method of organizing of the educational process that is based on the values of content and values of goal which are manifested in the problematic character, perception and mutual understanding at the interpersonal level. It is noted that the joint participation of the subjects of dialogue reveals its humanistic essence and gives multicolor, emotionality, spirituality to the relationship, gives the joy of their discovery of each other. Emphasis is placed on the psychological and pedagogical essence of discussion (a kind of dialogue that takes place in a mode of competent equality and involves the clash of the participants’ opinions in the course of strictly regulated negotiation of the problem) as the most cognitively effective form of dialogue.
The Effect of Think-Pair-Share Strategy on The Eighth Grade Students’ Descriptive Text Reading Comprehension Achievement at Junior High School

This study aimed at finding whether there was an effect of Think-Pair-Share Strategy on the eighth grade students’ descriptive text reading comprehension achievement at Junior High School. The design used was quasi-experimental research with post-test only. The experimental group was given TPS strategy, while the control group was given the question and answer strategy as their teaching strategy. In the end, post-test was given to both groups and the data was analyzed using the independent sample t-test with 5% significant level by using SPSS software. The sig (2-tailed) was 0.010 which is less than 0.05 with 95% of significance level. The alternative hypothesis was accepted. Thus, there was a significant effect of TPS strategy on students’ reading comprehension.
Reform and Practice of Basketball Curriculum Under the Background of Physical Education Professional Certification

Basketball course in line with the echo of personalized learning, online teaching, leading, dynamic and open teaching and efficient interaction between teachers and students, the depth of inquiry learning, improve teaching mechanism, such as teaching target, make the effective combination of students’ knowledge, ability and quality, cultivate students the comprehensive ability to solve the problem and higher-order thinking, with the teachers’ sense of responsibility and initiative, As well as to become an excellent physical education worker’s accomplishment, so that the basketball course teaching content has The Times and forward-looking, the teaching form has the advanced and interactive.
Solar Radiation Forecasting Using Gradient Boosting Based Ensemble Learning Model for Various Climatic Zones in India

India is seeing a massive boost in solar power installations in the recent years. Solar radiation forecasting is an essential tool to obtain the maximum performance from solar energy systems. Hence an ensemble model utilising gradient boosting framework for hourly global horizontal irradiance forecasting is proposed for the climatic zones of India. The data evaluation is performed using 2-layer feed forward neural network from the pool of input variables. The performance of proposed model is compared with standalone model. i.e., 2-layer feed forward neural network with marginally better performance metrics, mean absolute error (20.97 W/m2) and mean square error (1357 W2/m4) as compared to that of the neural network (21.66 W/m2, 1479.53 W2/m4). The considerable advantage in proposed model is less computational requirement. The proposed model is also intended to have practical implications in a) Obtaining solar irradiance data in locations where there is minimal solar radiation data available using neighbour location data, which is explained in this article by considering locations from various climatic zones in India and b) Solar power systems due to the model’s ability to provide good performance metrics in a smaller timeframe making it an ideal candidate for real-time solar power predicting model.
Shiftable Dynamic Policy Programming for Efficient and Robust Reinforcement Learning Control

In this paper, a novel value function-based reinforcement learning (RL) approach, Shiftable Dynamic Policy Programming (SDPP), is proposed to improve the sample efficiency and robustness of RL in control problems. Extended from previous sample-efficient RL method Dynamic Policy Programming(DPP) that punishes the over-large Kullback-Leibler divergency between the updated and previous policies as a penalty term, SDPP employs a shiftable parameter to dynamically control the penalty term according to the historical learning performances and designs a general shift strategy for the shiftable parameter. Evaluated by several benchmark control tasks in OpenAI gym, based on agent’s behaviors facing various reward settings, SDPP successfully demonstrates its capability in automatically selecting a suitable smoothness of policy update and therefore achieves both faster convergence and better robustness compared with the original DPP.
Introduction

In this chapter, I present the adaptive computation of important features for data representation and classification. I demonstrate the importance of these features in machine learning, data visualization, and data analytics. I also show the importance of these algorithms in multiple disciplines and present how these algorithms are obtained there. Finally, I present a common methodology to derive these algorithms. This methodology is of high practical value since practitioners can use this methodology to derive their own features and algorithms for their own use cases.
ERROR ANALYSIS OF ACADEMIC WRITING PAPERS OF ENGLISH EDUCATION STUDENTS AT IAIN FATTAHUL MULUK PAPUA

This research aims to identify the factors of writing errors and efforts to identify the resolution of errors in writing academic papers for English Education students at IAIN Fattahul Muluk Papua. The theory used to examine the research problem is standard and correct language, grammar theory, and error analysis as the leading theory. The research method is descriptive-qualitative. The results showed that the writing error factor was in morphological errors, lexicon errors, syntactic errors, and systematics of writing. First, morphological errors include punctuation errors, spelling errors, and vocabulary errors. Second, lexicon errors include grammatical errors and conciseness errors. Third, syntactic errors include unclear sentences, sentences that have ambiguous intentions and incomplete sentences. Fourth, systematic errors in writing include the thickness of letters, coherence, the distance between sub-chapters and incompleteness of sentences. Efforts to resolve writing errors, so that its do not happen again by realizing an English version of the academic paper writing module in simple language equipped with systematic explanations, formats, and substance of academic papers.
PENGELOLAAN GERAKAN LITERASI SEKOLAH DALAM MENDUKUNG KEMAMPUAN KARYA TULIS SISWA SEKOLAH DASAR DI SD NEGERI 1 LELONG

Reading and writing are part of many learning routines that cannot be separated from everyone's life. UNESCO has released data on reading interest in the world and shows Indonesia's demand for reading is at 0.001. This means that for every 1,000 residents, there is only 1 person who has an interest in reading (Universitas Gadja Mada, 2017). The objectives of this study are 1) to describe the management, planning, implementation, and evaluation of the School Literacy Movement (GLS): 2) to describe the supporting and inhibiting factors for the solution; 3) Describe the results in overcoming the factors that hinder the solution in the management of the School Literacy Movement (GLS) to support writing at SD Negeri 1 Lelong. This research uses descriptive qualitative, which means the type of research is literal data with factors in the field. Data collection techniques used in this study were interviews, observation, and documentation analysis. Researchers used data analysis in the field with the Miles and Huberman model. The steps in the data analysis process carried out by the author are 1) Data collection; 2) Data Reduction; 3) Data Presentation; and 4) Verification. The results of the study, in the management of the School Literacy Movement (GLS) to support student writing at SD Negeri 1 Lelong there are three stages, as follows: planning, implementation and evaluation&#x0D;
Conference reports

In this new installment, Niccolò Veltri (Tallinn University of Technology) reports on the 23rd International Symposium on Principles and Practice of Declarative Programming (PPDP 2021) and the 31st International Symposium on Logic-based Program Synthesis and Transformation (LOPSTR 2021), two co-located symposia for which he served as general chair.
Can We Predict How Challenging Spoken Language Understanding Corpora Are Across Sources, Languages, and Domains?

State-of-the art Spoken Language Understanding models of Spoken Dialog Systems achieve remarkable results on benchmark corpora thanks to the winning combination of pretraining on large collection of out-of-domain data with contextual Transformer representations and fine-tuning on in-domain data. On average, performances are almost perfect on benchmark datasets such as ATIS. However some phenomena can affect greatly these performances, like unseen events or ambiguities. They are the major sources of errors in real-life deployed systems although they are not necessarily equally represented in benchmark corpora. This paper aims to predict and characterize error-prone utterances and to explain what makes a given corpus more or less challenging. After training such a predictor on benchmark corpora from various languages and domains, we confront it to a new corpus collected from a French deployed vocal assistant with different distributional properties. We show that the predictor can highlight challenging utterances and explain the main complexity factors even though this corpus was collected in a completely different setting.
Application of Asset Management in the Management of Irrigation Areas in the Salaman Technical Implementation Unit

One of the main factors for supportingdevelopment in the agricultural sector is the irrigation infrastructure management. Infrastructure is essential because it is a basicprerequisite for development and growthandrequires very large costs. Therefore, the infrastructure must be managed properly according to Asset Management principles. This study aims to implement asset management in the management of Irrigation Area in the Salaman Technical Implementation Unit(UPT). The irrigation assets in question are the physical infrastructure of irrigation networks. This study requires an inventory of data on irrigation network which is used as input in analyzing the performance appraisal of irrigation assets. The assessment of the Irrigation Area Performance index is carried out through the weighting of each component according to the technical instructions set by the government. While the evaluation is carried out by determining priorities and types of handling irrigation areas through ranking and classification of aset condition index value. The evaluation show that 3 (three) Irrigation Areas get a condition index value of ≤60 (poor). The three irrigation areas are MA Depok, DI Pakem I, and MA Mudal. MA Depok is an irrigation area that is the first priority for treatment in the form of rehabilitation.