Reviewerly/exHarmony huggingface dataset:
Efficient Teaching Management Based on Information Technology

With the rapid development of information technology, teaching ideas, models and methods have undergone profound changes. With the help of information technology, teaching management can achieve teaching objectives with high quality, which is conducive to cultivating students’ information literacy, changing students’ learning style and forming good learning habits. In the aspect of teaching management, information technology is embodied in talent training program, performance evaluation, teaching evaluation, examination management and other major aspects. The construction and application of informationization in school teaching management is an important means of teaching development and construction. In order to promote the reform and innovation of education and teaching, we should lay a solid foundation for the development of education and teaching. In this paper, using the data mining technology, aiming to indicate the environment of Internet information technology rapid development, the current teaching management activities for the utilization of information technology, to clarify information technology promotes the use of promote the important meaning to improve the quality of teaching management, find out the deficiency of the current management mode and needs to be improved, optimize teaching management, put forward with the combination of information technology to further achieve efficient teaching management method of strategy.
The Application Status and Integration Strategies of Digital Learning Apps for College Students

With the development of mobile Internet, mobile learning tools such as smart phones have been popularized, mobile learning has become a hot topic in education circles. Digital learning APP has become an important way for mobile learning, and also an effective means of extracurricular learning for students. College students have been selected as representative study objects since they do autonomous learning and utilize APP more often. It mainly uses questionnaires and interviews to investigate the Applying, learning behavior and using effect of digital learning APP among college students. It also puts forward some suggestions on the Application, design and development and management of digital learning APP for college students.
Coding with XML for Efficiencies in Cataloging and Metadata

Written as a follow-up to an Association for Library Collections & Technical Services (ALCTS) pre-conference held during the 2015 American Library Association (ALA) Annual Conference, Coding with XML for Efficiencies in Cataloging and Metadata is an excellent introduction to the potential of Extensible Markup Language (XML) and related technologies in creating efficiencies in library cataloging and metadata work. As stated in the volume’s introduction, this guide will be most useful to those with some familiarity with XML or Hypertext Markup Language (HTML). However, this is not a requirement as the first chapter introduces XML in a way that will bring most newcomers up to speed. Catalogers will likely benefit most from this volume given that the majority of examples involve MARC 21 bibliographic data. However, metadata managers more broadly will also find value here, particularly in sections on XML Schema Definition Language (XSD), Extensible Stylesheet Language for Transformation (XSLT), XPath, and XQuery. Coding with XML does not purport to be a comprehensive reference for all XML work in libraries, but more of “a tutorial on its subject” (3). This is certainly true—each section provides an approachable and thorough introduction to a particular technology rather than an exhaustive list of features. There is also a useful list of resources at the end of the book for readers who want more information and more in-depth examples.
Using VisIt to Evaluate the Accuracy of a Convolutional Neural Network

Using VisIt, we visualized a 3D volume of neural axons for a larval zebrafish from electron microscope data and locations for those neurons estimated by a deep neural network. Errant points were recorded and used to further train the network. These computations were performed using Tensorflow, and utilized GPU’s to increase performance.
Developing web-based character value integration in school culture

Abstract This study aims at developing web-based character value integration in school culture for elementary school students in Jakarta in Indonesia. The research method used is Research and Development. The research product of web-based character value integration in school culture built with wix.com consist of home, introduction, concept, application of character value integration in school culture at elementary school, video, and contact pages. The result of validation of expert, limited, and extensive field test related to usage of web-based character value integration in school culture including organization, content utility, navigation, graphical representation, purpose, simplicity, credibility, consistency, accuracy, loading speed, security, interactive, strong user control capabilities, readability, efficiency, and learnability attained 3.78, 3.82, and 3.85 from maximum score 4 pointing out that this product has already been valid, practical, and effective. This study comes to the conclusion that web-based character value integration in school culture is effective to be implemented at elementary schools in Jakarta in Indonesia.
ELTIML: Express logistics tracking information markup language for data exchange processes in express logistics

Express Logistics produced big express tracking data in E-commerce Environment, however, express tracking has a significant weakness due to the lack of an industry-wide standard for archiving and exchanging the tracking information of the basic express item. It was difficult for express company to share and exchange express data with each other. In this paper, we introduced XML to describe data and analyzed data exchange mode of tracking information of express logistics, the data dictionary was draw up first, and then put forward a data describe language based on XML, which called express logistics tracking information markup language (ELTIML), ELTIML was intended to be a common “language” for describing express tracking data, and proposed a schema of ELTIML. At last, with regard to tracking information heterogeneous in four express logistics information management system, we designed an information tracking application framework using ELTIML. The results indicates that data exchanging model based on ELTIML shields heterogeneity of data resources and it is a efficient method of data exchange.
Media Alternatif Belajar Berbasis Graphic User Interface untuk Materi Gaya Listrik Muatan Statis

The electric force on a static electric charge is often a lesson that is difficult to be understanded for both of school students or scolar. Due to this phenomenon include a very small objects be one of the causes this analogy phenomenon is too difficult to implements in life being. Eventhough the electric force is responsible for the motion of the human body, besides the calculations are quite difficult sometimes the concept of electric force becomes a constraint because the force is vector quantities and will be difficult if the system consists is three or more static electric charges instead of scalar quantities that only plus or minus for attractive or repulsife quantities. The use of Graphic User Interface (GUI) is one of alternative media that be useable for students in calculating and analyzing the magnitude and direction of the force by a charge in system. The GUI is designed to make students more be effective and efficient in calculating the electric force.
Expert System for Eye Disease Diagnosis with Best First Search (BFS) Method Using Web-Based Programming

Today's computer technology is equipped with various capabilities, for example recognizing human conditions related to health.Eye health or vision is one that must be maintained, some disorders of the eyes / vision often occur, ranging from mild disorders to severe disorders that can lead to blindness in patients.In this paper, the author will discuss solutions for early eye diagnosis in patients with visual impairments by using a web-based expert system application combined with the Best First Search method based on the results of research conducted at a regional hospital.The results obtained in this study state that the solution offered can be used by sufferers in early detection of eye / vision problems based on the rules that have been made by eye disease experts.
Implementation of advanced encryption standard for file security in stego-object

Abstract Security issues and data confidentiality are very important in the digital and internet era today. Important files circulating on the internet, both in the form of documents, images, and videos need to be supported with good security. This article aims to secure files by utilizing steganography technology, both in encryption and decryption of the file. The method used was the Advanced Encryption Standard (AES) which was applied to Stego-Object. Experiments were done on document files with extensions .doc, .xlsx, .pdf, and .txt, also on image files with extensions .jpeg, .png, and. bitmap. The experimental results showed that AES can encrypt and decrypt quite effectively without changing the quality of files both images and documents. This research could develop for video files.
A Toolkit to Analyze the Task Allocation Strategies for Large Dataset in Geo-Distributed Servers

The evolving technological improvements on data handling with the geo-distributed datacenters pave the way for the cost-effective data maneuvres. The geo-distributed datacenter-based system planning poses an over whelming challenge in aggregating the appropriate data, distributing the server intensive computation, and setting up the seamless communication infrastructure. The datacenter providers have been striving to reduce the operational expenditure with different measures. The three segments, i.e., task assignment, data placement, and data movement essentially influence the operational cost of datacenters. We considered the cost minimization issue by streamlining of these three segments for advantageous benefits in geo-distributed servers. To delineate the endeavor of choosing the plausibility of the appropriate task allocation strategy, we suggested MATLAB-based toolkit that compares a 2D Markovian chain-based model and a MILP-based task allocation model. A mixed nonlinear programming constructs were linearized for the cost minimization. A MATLAB-based toolkit was proposed to explore the different task allocation strategies and their impact on the operational cost, communication cost, and the overall server cost. The existing datacenter simulation tools are having rigid and fixed functionality whereas the proposed toolkit offers different possibilities for the analysis and visualization of datacenter-related operations.
Artificial Life Intelligence for Individual and Societal Accomplishment

This paper explores the potential of the rapidly evolving fields of Natural Language Processing and Affective Computing and proposes future applications that combine the power of both fields to assist individuals in their personal and collective accomplishment. It studies the latest developments in the field of Emotion Detection and Recognition from facial expression, voice and text and discusses the shortcomings in current analysis systems. Human subjectivity is key to every choice, decision and act of individuals, and a comprehensive knowledge of human psychology is essential for effective analysis. As Emotional AI transcends the physical parameters and moves closer to understanding the emotional and mental human being in future, and Deep Learning enables greater comprehension of unstructured textual and audio-visual data, Cognitive Computing can employ big data processing to assist humans in acquiring scholarship, anticipating social trends and even understanding life. The paper concludes with a proposal for a revolutionary field of Artificial Life Intelligence that can promote universal human welfare.
Connectalism: A new paradigm for human choice

Abstract This is an introduction to Connectalism : A new paradigm for analysing human choice. Connectalism is rooted in systems thinking and humanistic psychology. It melds together ancient and modern wisdoms about humans' awareness of their interconnectedness within the networks they belong to (e.g., the biosphere). Basic motivation for the concept and postulates are introduced, with implications for the sustainability debate. The key analytical tool to operationalize the examination of decision frameworks is functional dependency network analysis. We then work through a simple application of this approach to the COVID‐19 pandemic.
Comparison of Hand Follower and Dead-End Filler Algorithm in Solving Perfect Mazes

Abstract A maze is a collection of walls and spaces arranged in such a way that they form a path/paths commonly connecting an entry point to a goal. There are various kinds of maze solving algorithms. These methods are used in practice to help navigate an autonomous system to find a path within maze to find a target such as an exit point, special item, or location to the next level. This research explored two maze solving algorithms: Hand/Wall Follower and Dead-End Filler. Experiments were conducted to measure the time needed for each algorithm in solving 50 perfect mazes of various sizes. The result showed that Hand/Wall Follower algorithm is faster than Dead End Filler algorithm; for example, in solving 800 x 800 cell mazes, the former required an average time of 98.74 milliseconds while the later needed 215.86 milliseconds.
The Face Recognition Performance in Every Lighting Condition of Testing Data

Face recognition system is still a topic that is widely studied today, because it has problems that are quite complex. One problem is related to the illumination factor, which significantly influences face recognition performance. One of the methods often used for object recognition problems that is influenced by illumination factors is the obust Regression, which is also used in this research. The problem to be solved is related to the performance of face recognition in various lighting conditions. Using one of the face databases, the Yale Face Database B Cropped, an experiment was performed on each lighting condition of the face data. In the Yale Face Database B Cropped, there are 10 individuals, where each individual has 64 variations of images based on illuminations which are grouped into 5 subsets according to their contrast level. Experiments are generally carried out using all subsets as training data and all other data as testing data, where the results show general face recognition performance (in all lighting conditions). In this research, experiments were carried out for each subset as testing data, where the results showed the performance of face recognition in each lighting condition. The experimental results showed the highest face recognition performance in subset 1 (98.21%), while the lowest performance is in subset 4 (84.46%). The trend of the experimental results shows that the face recognition performance of the Robust Regression method is getting better on face data with a higher level of contrast.
Japanese Mistakable Legal Term Correction using Infrequency-aware BERT Classifier

We propose a method to assist legislative drafters that locates inappropriate legal terms in Japanese statutorysentences and suggests corrections. We focus on sets of mistakable legal terms whose usages are defined in legislationdrafting rules. Our method predicts suitable legal terms using a classifier based on BERT (Bidirectional EncoderRepresentations from Transformers). The BERT classifier is pretrained with a huge number of whole sentences; thus,it contains abundant linguistic knowledge. Classifiers for predicting legal terms suffer from two-level infrequency:term-level infrequency and set-level infrequency. The former causes a class imbalance problem and the latter causesan underfitting problem; both degrade classification performance. To overcome these problems, we apply threetechniques, namely, preliminary domain adaptation, repetitive soft undersampling, and classifier unification. Thepreliminary domain adaptation improves overall performance by providing prior knowledge of statutory sentences,the repetitive soft undersampling overcomes term-level infrequency, and the classifier unification overcomes set-levelinfrequency while saving storage consumption. Our experiments show that our classifier outperforms conventionalclassifiers using Random Forest or language models, and that all three training techniques improve performance.
The Problems and Countermeasures of University Financial-Management in the Era of Big-Data

With the rapid development of Internet, the arrival of big data era has a profound impact on the financial-management of colleges and universities (CAU). The financial-management of CAU has a big influence on their own development. At present, there are still some problems in the financial-management of CAU, which seriously affect the long-term and healthy development of CAU. First of all, this paper analyzes the meaning of university financial-management, and points out the problems existing in the financial-management mode of bank universities. Then it puts forward the financial-management method. Through the actual implementation of the program, the results show that the program proposed has been well received by most financial talents, and optimized the financial-management process, especially in the accuracy of budget management, data completeness, staff efficiency and other aspects have obvious advantages.
Implementation of Energy Efficient Building Concepts In Design Office of Dinas Pendidikan dan Kebudayan Kabupaten Merauke

Abstract The building plays an important role in the use of energy in Indonesia. Most of the expenditure of energy in Indonesia is generated by a particular building electricity consumption by households and the commercial sector. electrical energy use in buildings mostly used to create an artificial climate such as air conditioning and lighting. The building was also partially responsible for greenhouse gas emissions and the use of raw materials that are manufactured to material such as sand, gravel and cement. Design Office of Dinas Pendidikan dan Kebudayaan Kabupaten Merauke try to apply the concept of energy-efficient buildings. The purpose of this study is to analyze the application of energy-efficient building concept in the design office Dinas Pendidikan dan Kebudayaan Kabupaten Merauke. This research is qualitative research phases namely direct observation in the field, videotaped, and the study of literature. The results showed Building Design Office of Dinas Pendidikan dan Kebudayaan Kabupaten Merauke try to apply the concept of energy-efficient building on the building design by way of setting the basic building coefficient, the orientation of the building, s / v ratio and wide openings made structures. But the use of materials, the use of concrete with sand brought in from outside the area is not considered environmentally friendly The results showed Building Design Office of Dinas Pendidikan dan Kebudayaan Kabupaten Merauketry to apply the concept of energy-efficient building on the building design by way of setting the basic building coefficient, the orientation of the building, s / v ratio and wide openings made structures. But the use of materials, the use of concrete with sand brought in from outside the area is not considered environmentally friendly The results showed Building Design Office of Dinas Pendidikan dan Kebudayaan Kabupaten Merauke try to apply the concept of energy-efficient building on the building design by way of setting the basic building coefficient, the orientation of the building, s / v ratio and wide openings made of building. But the use of materials, the use of concrete with sand brought in from outside the area is not considered environmentally friendly.
<i>Case-Based Reasoning</i>for the Diagnosis of Acute Respiratory Infections Using Minkowski Distance

One of the computerized systems is highly developed in this century is the system of Case-Based Reasoning (CBR) where the system is able to complete a new case based on experience or previous cases. CBR provides solutions based on the degree of similarity in the old case with a new case. The system built in this research is the CBR system for diagnosing respiratory diseases by using the Minkowski distance as the similarity calculation. Calculation of accuracy in this study using K-fold cross-validation by using k = 5 and k = 7. Testing with k = 5, the best results are ≥ 60% threshold with 99.29% accuracy while using the lowest threshold value of ≥ 80% with accuracy is 88.57%. Testing with k = 7, the best results are ≥ 60% threshold with accuracy 99.29%, while the lowest was using a threshold value of ≥ 80% with accuracy is 89.29%.
Performance Improvement for Blurred Images Utilizing Learning-Based Image Restoration Method

Blind image restoration, which restores a clear image from a single blurry image, is a difficult process of estimating two unknowns: a point-spread function (PSF) and an ideal image. In this paper, we use a learning-type restoration method that learns a sharp image without blur and an image that contains blur, and supposes the restoration of blurred images that occur especially when shooting fast-moving objects such as cars. We study the improvement of the image quality of the restored image by examining the training image used for the image.
Robot Orientation Estimation Based on Single-Frame of Fish-eye Image

Abstract In order to develop the steering control for collision avoidance behaviour, robot must be able to determine its heading orientation with respect to environment. Orientation can be measured by dedicated sensors or through visual features perception. In vision-based orientation estimation problem, most of approaches are making use of a matching process between pair of frames. This paper proposes a method of estimating robot’s heading orientation by using only a single-frame of fish-eye image. CIE-LAB colour space is applied to handle colour and illumination intensity change. Straight line segments are extracted from thresholded CIE-LAB image take advantage of Progressive Probabilistic Hough Transform. Angle of the corresponding line segment is measured using combination of Law of Cosines and quadrant principle. Heading orientation in yaw angle is estimated by implementing voting mechanism based on region grouping and length of perpendicular line. Some experiments are made in robot soccer field environment to compare orientation estimation system against IMU’s measurement. Discussion about the performance and limitation of the system are included in this paper.
Study Phase of Operational Management Process X Building

Abstract Building operational management has consistently become a requirement to fulfill, especially for buildings that are enabled for the public interest. The concept of operational management especially in the maintenance of poor buildings can cause a variety of functions building facilities will be increasingly decreased and affect the quality and comfort of the building, hence it is very important to the owner of the building/Building users know the understanding and process of building operational management. This research aims to study the understanding of operational management and based on research results there are 4 stages of the process in operational management, namely review design, planning, organizing, movement, and Control.