Reviewerly/exHarmony huggingface dataset:
Intelligent Detection of Stratigraphy Boundary Based on Deep Learning

Robotic exploration technology is widely used in various fields such as information acquisition and topographic photography. Due to dimensional transformation and data loss in data transmission, an additional manual pre-processing is required, which is very time consuming and difficult to ensure the data accuracy. In this paper, we propose an intelligent recognition method of stratigraphy boundaries of engineering geological images based on the Hough prior deep learning network (HT-LCNN). We annotate geological drawing datasets manually at first. And then improve the binary matrix size of the original network, retrain the network on a self-constructed dataset. Finally we design experiments to compare and analyze model learning capabilities so that the optimal model can be adopted to detect negligible gaps on graphical junctions. Experimental results demonstrate that our method outform HT-LCNN in recognizing strata features. It gives the robot the capability to intelligently recognize geological images and can accurately identify over 96% of stratigraphy boundaries and junctions location, thus improving the fluidity of data in the design process and reducing time costs.
Path Expressions in JSON

To work effectively with JSON, it is important to start with the basic functionality. One of the most important things to learn is the path expressions, navigating, and targeting the correct JSON keys. Path expressions are needed in SQL as well as in PL/SQL. This chapter introduces the path expression and its filtering capabilities and error handling. Finally, you look at the dot notation to extract values from a JSON document with easy-to-understand SQL statements.
Supporting Code Review by a Neural Network Using Program Images

In system development, code reviews are conducted to improve the quality of programs. The purpose of this study is to support code reviews and improve the quality of the program. In supporting code review, we use a convolutional neural network (CNN) that was trained with programs with a label of “withDefects” or “withoutDefects”. The training data are images of program fragments. In this paper, we call the trained CNN the CNN-BI (CNN based Bug Inference) system. The CNN-BI system infers whether or not there is a defect in the image of a program fragment. In order to validate the effectiveness of the CNN-BI system for review, we conducted experiments. In the experiments, we provided a list of the inferred results by CNN-BI for each program fragment to reviewers. We analyzed the results of their reviews. As a result of the analysis, the effectiveness was observed in some examples. In this paper, we describe a method for making the training data and the results of the experiments.
Useful APEX Packages

Oracle Application Express (APEX) is a low-code development platform that allows you to build scalable, secure enterprise applications that can be deployed anywhere. Well, almost anywhere; the APEX engine still needs an Oracle database. APEX is a no-cost option with Oracle Database from the Always Free cloud tier to XE to the Enterprise Edition.
Introspecting PL/SQL

Knowing what is going on in an executing PL/SQL block can provide valuable information. Setting client_identifier, module, and action from within a PL/SQL block can help track what each session is doing. In the DBMS_SESSION package, there are supporting procedures and functions for this.
Hierarchical User Review Clustering Based on Multiple Sub-goal Generation

Requirements analysis plays a crucial role in software development processes. Although analyzing user reviews is an efficient requirement elicitation approach, manually collecting user reviews is challenging and time-consuming. An automatic method for user review clustering and goal-model construction has been proposed. However, this method limited the numbers of sub-goals in the goal model. To address this, we propose a comprehensive user review clustering method. This method comprises two components. One is a latent Dirichlet allocation (LDA) model, which clusters user reviews into several topics. The other is a distance-based clustering algorithm, which was improved from the existing clustering method.
Initialization and Alignment for Adversarial Texture Optimization

While recovery of geometry from image and video data has received a lot of attention in computer vision, methods to capture the texture for a given geometry are less mature. Specifically, classical methods for texture generation often assume clean geometry and reasonably well-aligned image data. While very recent methods, e.g., adversarial texture optimization, better handle lower-quality data obtained from hand-held devices, we find them to still struggle frequently. To improve robustness, particularly of recent adversarial texture optimization, we develop an explicit initialization and an alignment procedure. It deals with complex geometry due to a robust mapping of the geometry to the texture map and a hard-assignment-based initialization. It deals with misalignment of geometry and images by integrating fast image-alignment into the texture refinement optimization. We demonstrate efficacy of our texture generation on a dataset of 11 scenes with a total of 2807 frames, observing 7.8% and 11.1% relative improvements regarding perceptual and sharpness measurements.
Containers on Serverless

You likely have some familiarity with containers and the immense capabilities they add to the infrastructure world. Nowadays, containers are ubiquitous, and hence it is vital to understand how they operate in the cloud and, more specifically, AWS. This chapter gives you insight into how you can use serverless container services to design applications.
Facial Emotion Recognition using Wavelet Analysis and Histogram of Oriented Gradients of Image

Background: A number of disciplines, including security, healthcare, and human-machine interactions, have presented and used techniques for emotion recognition based on facial expressions. Objective: To increase computer prediction, researchers are advancing the methods for deciphering code and extracting facial emotions. Methods: The contamination of the image with noise, which alters the features of the images and ultimately impacts the accuracy of the system, is one of the major issues in this sector. Thus, noise should be eliminated or diminished. The wavelet transform approach is used in this study to denoise the images before categorization. The classification accuracies for original images are also obtained to analyze the effect of denoising on the classification accuracy of the facial expression images. Results and Conclusion: Three machine learning approaches, support vector machine, k-nearest neighbor, and naive bayes, are utilized to classify the emotions in this instance. The feature employed is the histogram of directional gradients of images. The classification results are obtained and the effect of denoising on the classification accuracy of the facial expression images is analyzed. Also, our best-obtained result for the wavelet transform method is compared with other wavelet transform-based facial emotion recognition techniques. And our result is found to be promising.
Infant food users' perceptions of safety: A web-based analysis approach

This paper aims to explore consumer beliefs about health hazards in infant foods by analyzing data gathered from the web, focusing on forums for parents in the UK. After selecting a subset of posts and classifying them by topic, according to the food product discussed and the health hazard discussed, two types of analyses were performed. Pearson correlation of term-occurrences highlighted what hazard-product pairs are most prevalent. Ordinary Least Squares (OLS) regression performed on sentiment measures generated from the texts provided significant results indicating positive or negative sentiment, objective or subjective language, and confident or unconfident modality associated with different food products and health hazards. The results allow comparison between perceptions obtained in different countries in Europe and may lead to recommendations concerning information and communication priorities.
Research on Segmentation and Extraction of Mountain City Trail Landscape Elements Based on Improved PSPnet

As an important part of livable life, the efficiency and accuracy of landscape data management and scene design of urban footpath have become the new requirements of urban renewal. In this paper, a landscape element segmentation method which can be used in street view images is proposed. This method is based on the PSPnet semantic segmentation model. Firstly, through the cascades of different dimension features, it preserves more details of Street view image on the basis of enhanced scene parsing. And then, a lightweight semantic segmentation model is constructed using the depth separable convolution module to make it more efficient. Finally, through experimental comparison, the average pixel accuracy and average intersection ratio of the proposed method for the sample segmentation of mountain city walk street scene are 82.49% and 77.87%, respectively, which are 10.14% and 13.42% higher than before the improvement. Furthermore, the segmentation results are better than other models commonly used. This method can effectively divide the landscape elements of urban footpaths, which is of great significance for the improvement of urban streetscape data and the promotion of municipal management.
Sketching music together: Mixed groups exploring melodic similarity and contrast using a digital tabletop

In this article, we investigate whether and how a purposely built digital tabletop musical instrument (DTMI) can help groups of novices and casual users to explore music composition. Working together in small groups around the DTMI, our participants explored how the musical concepts of melodic similarity and contrast can convey narrative through musical structure. We build on our previous work that investigated a one-to-one learner–tutor scenario and expanded it to groups of peers. Similarly to our previous study, we adopted an exploratory and primarily qualitative approach, involving 24 participants divided into eight groups of three each, sampled from the general population via flyers and word of mouth. We structured the sessions as a series of open-ended discussions of the notions of similarity and contrast, starting from a general point of view, leading up to the task of inventing a short story and composing a melody to describe it. Although the two studies may appear superficially similar, the group element represents a fundamental difference, as we found. The combination of technology and group setting was instrumental in helping less experienced participants discuss music with more experienced participants by using a simplified yet expressive representation of music that could be used to discuss complex aspects of melody and composition.
Exploring intervention of e-textbook in schools: Teachers’ perspectives

As an innovative educational tool, e-textbooks has gained wide interest – especially with the growth of e-learning. As with any new technology, understanding how users adopt these technologies is still unclear. In the study reported on here we proposed a theoretical model shaping the determinants of teachers’ attitude toward e-textbooks. Specifically, we identified three contextualised factors (ease of use, usefulness, and concerns) as the factors of adopting e-textbooks. In addition, we examined teachers’ use of e-textbooks. A mixed-methods research design was used in which quantitative and qualitative data were collected and analysed. The results show that teachers held positive attitudes toward using e-textbooks in their teaching and used them as instructional aids. The results might inform education decision-makers who are planning to integrate e textbooks into their schools in line with digital transformation and the knowledge society.
Data will Deliver Better Mobility for all if we can Understand it

Traffic Technology InternationalVol. 2022, No. 6 The Mode WarriorData will Deliver Better Mobility for all if we can Understand itGreg WinfreeGreg WinfreeSearch for more papers by this authorGreg WinfreePublished Online:17 Feb 2023https://doi.org/10.12968/S1356-9252(23)40587-4AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article FiguresReferencesRelatedDetails 1 December 2022Volume 2022Issue 6ISSN (print): 1356-9252ISSN (online): 2397-5970 Metrics History Published online 17 February 2023 Published in print 1 December 2022 Information© MA Business Ltd.PDF download
STUDY OF THE INFLUENCE ON THE GENERATED POWER OF THE ANGLE OF SUNLIGHT INCIDENCE ON THE SURFACE OF THE SOLAR PHOTOELECTRIC CONVERTER

Currently, the most promising source of energy is the energy of the Sun. The purpose of the study was to establish the dependence of the power generated by the element of the solar photoelectric converter (SPС) on the angle of incidence of the sun's rays. The scientific novelty consists in substantiating the effectiveness of using SPС positioning systems relative to the sun to increase the efficiency of converting solar energy into electrical energy. A study was conducted of three types of silicon SPC of the same manufacturer of the same power, which were located at the same angle in cloudy weather. It was established that the single-crystal SPC generates more power than other types of SPC. The influence of the angle between the sun's rays and the surface of the SPC on the generated power was investigated. It was established that the most effective operation of the SPC occurs when the module is fully illuminated and the sun's rays fall perpendicularly on the module. The data obtained were analyzed and it was established that for the effective operation of the SPC there is no need for constant movement of the tracker following the Sun, since it is sufficient to turn the tracker by 20° in the direction of rotation The sun in the case of leaving the zone in which the power produced by the SPC is unchanged. The operating curves of the graphs are used to determine the parameters that will provide effective control of the SPС position, which will help operators or technicians to select the optimal position of the SPС depending on the position of the sun. The obtained results can be used for all SPСs of the single-crystal type.
In the Midst of the COVID-19 Pandemic, Politeknik Negeri Media Kreatif Used Flat Design Techniques as Educational Animation Media Material

The more innovation creates, the more inventive, seriously intriguing, and more imaginative limited time media, remembering special media for the type of movement illustrations. Politeknik Negeri Media Kreatif (Polimedia) Medan grounds is the object of exploration. The exploration utilizes a writing concentrate on research strategy, perception of Polimedia, which is a Vocational College as a substance reference. As a professional school, its reverberation isn't apparent at the degree of North Sumatra, a successful limited time media to the local area, particularly amidst the Covid-19 pandemic, Polimedia should focus on instructive media content that is appealing to its partners. The motivation behind this review is to deliver movement illustrations activity video media as instructive liveliness media content with level plan procedures with the objective of secondary school/professional youth who will proceed with their schooling to a more explicit level as indicated by proficient interests. The phases of the exploration strategy incorporate writing study, meetings to discover the means of Polimedia in presenting its grounds and dispersing polls to the plan target. Phases of creation include: pre-creation, creation, and after creation. In light of the exploration in the field, it reasoned that the pre-creation stage is the idea of typography and storyboard plan. At the phase of the creation cycle, to be specific Character Building (Drawing), Modeling, Facility Design, Animation and Post-Production Processes including Altering, audio cues, delivering, dominating, distributing recordings
Determinants of employee engagement in the healthcare sector

This academic research aims to examine the different factors that enhance employee engagement in the Lebanese private healthcare sector. Based on collected data from the healthcare sector in Lebanon, the linear regression test is employed to explore the correlation between employee engagement and four independent variables: corporate governance, transformational leadership, accountability, and hospital values. Three main organisational dimensions are proposed to enhance employee engagement in the Lebanese healthcare sector hospitals: transformational leadership, corporate governance practices and accountability culture. The results of the study do not reveal any significant correlation between hospital values and employee engagement. This research and its proposed model could be used in the healthcare sector to enhance the engagement of employees.
Findings of IBM WATSON procedural way to play Jeopardy Game show

Question Answering technology can be used IBM WATSON method. It is a great advance to play the Jeopardy game show. The show is very challenging. Because the natural language questions to give the rapid fire answer. It is based on general knowledge , high precision and confidence. The Jeopardy is having four additional features and its very important. The given the steps are first step is Daily Double wagering, the second step Final jeopardy wagering, the third step select the next square control on the board,and the fourth confidence threshold for attempting to buzz. These decision are using sophisticated strategies. It is compared with simple rule strategies its give the chances to win the players. This articels to developing the IBM WATSON game playing strategies. After that to explain the game strategy algorithms with description. we extend our finding of how the human to performance on the show.
Support Vector Machine Based Data Classification to Avoid Data Redundancy Removal before Persist the Data in a DBMS

Data Base Management System is one of the growing fields in computing world. Grid computing, internet sharing, distributed computing, parallel processing and cloud are the areas store their huge amount of data in a DBMS to maintain the structure of the data. Memory management is one of the major portions in DBMS due to edit, delete, recover and commit operations used on the records. To improve the memory utilization efficiently, the redundant data should be eliminated accurately. In this paper, the redundant data is fetched by the Quick Search Bad Character (QSBC) function and intimate to the DB admin to remove the redundancy. QSBC function compares the entire data with patterns taken from index table created for all the data persisted in the DBMS to easy comparison of redundant (duplicate) data in the database. This experiment in examined in SQL server software on a university student database and performance is evaluated in terms of time and accuracy. The database is having 15000 students data involved in various activities.
Jahai language repository: a mobile application

The Jahai language is facing extinction primarily because it is among the least spoken language among minority groups in Malaysia. This is due to lesser speakers and the shift to using a more dominant language. The Jahai tribe is one of the community groups living in the Royal Belum Perak State Park. People who need assistance from Jahai people often face difficulties in communicating with them due to the language barrier. Therefore, a mobile translation system was developed to preserve the language. The system translates the Jahai terms into Malay language. This way, by using the system, other ethnics in Malaysia can understand the language especially when communicating with Jahai people. Three main steps are required in the translation process; first, key in the text input via special character keypad. Then, the system will search the matching word in the database. Finally, the meaning of the word will be displayed. The testing results have indicated this system is functional and accepted with the SUS score of 94/100. Several future recommendations could be made such as including voice search function and adding more Jahai terms in other categories so as to improve the functionality and usability of this proposed system.
Measuring geospatial information system success on individual performance impact

This research will analyze the influence of the quality of sales IndiHome information system (SIIS) on individual performance. In this research, the SIIS dashboard quality aims to accommodate them using a model that meets the updated Delone and McLean model. Individual productivity is measured through the Net Individual Benefit variable. It measures the impacts obtained after using the SIIS dashboard on work success. Indihome is Telkom Indonesia broadband retail brand. In this business, the service must be installed for each house. The challenges are to provide the best service to customers, manage the chain of resources in a series of infrastructures for providing broadband services, and maintain business performance to be sustainable. Telkom Indonesia has developed a geospatial-based Sales Information System by utilizing geospatial and spatial analytics, so the data can be viewed comprehensively in one map. The interpretation of the SIIS dashboard shows that the success rate is at a high level for the six variables (system quality, user quality, information quality, information use, user satisfaction, and net individual benefit). There is also a significant effect in increasing the work productivity of SIIS dashboard users as indicated by the correlation measure between SIIS dashboard success and net individual benefits.
Research on Evaluation of University Curriculum Learning under OBE Concept

OBE is fully called Outcomes Based Education, which means the output oriented education concept.Under this education concept, it can more effectively overcome various problems in the process of traditional curriculum learning evaluation, such as incomplete evaluation subject, incomplete evaluation content, etc.Therefore, considering that there are still some problems in the current curriculum learning evaluation mechanism of colleges and universities in our country, it is necessary to carry out relevant research based on the OBE concept, truly realize the close connection between the curriculum evaluation of colleges and universities and the learning output of learning, and give students an objective, accurate and true evaluation of learning achievements through comprehensive qualitative and quantitative analysis.