Reviewerly/exHarmony huggingface dataset:
Watermarking File Pdf Menggunakan Metode One-To-One Mapping

Technological developments make it easy for internet users to get digital data in the form of text, audio, images, videos that are widely used and no longer pay attention to copyright protection of digital data. Watermarking is a technique that can be used to determine the validity of digital data copyright. PDF digital document data that is not inserted with a watermark, the information is very vulnerable to change and can cause problems such as the authenticity of the information in it being doubted because everyone can be free to manipulate the information and then redistribute it. The one-to-one mapping method is used for the watermarking process by inserting images into a pdf file. The process is done by taking the intensity value in the pdf file and the watermark image for mapping the pixel values. The result is a watermarked pdf file. The results of the watermaking process of this pdf file can be used to determine the validity of the copyright so that the authenticity of the information in it is safely maintained. Thus, the owner of the digital data feels that he will send his data to other parties.
Centralized and Decentralized Methods for Multi-robot Safe Navigation

With the expansion of application scenarios to intelligent storage, unmanned vehicle distribution, etc., the multi-robot path planning (MRPP) problem has received widespread attention recently. Solutions to this problem are mainly classified into two categories: centralized methods and decentralized methods. In this article, two centralized methods (safe interval path planning and conflict-based search) and two decentralized methods (velocity obstacles method and nonlinear model-predictive control method) are simulated in their respective environments. The performance of each method is observed and evaluated. Preliminary comparisons are also made to discuss the application scenarios, advantages and disadvantages of each method by observing the outcomes of the four methods. In the simulation of centralized methods, conflict-based search performs better than safe interval path planning with a higher probability of success. When simulating decentralized methods, velocity obstacles method can work out a more efficient path for a robot than nonlinear model-predictive control. However, the robustness of velocity obstacles method can be poorer when applied to reality. The strengths and weaknesses should be balanced facing different demands.
Correction to: Attending to SPARQL Logs for Knowledge Representation Learning

In an older version of this paper, there was an error in the acknowledgements section. This has been corrected.
Repurchase Prediction of Community Group Purchase Users Based on Stacking Integrated Learning

Recently, fewer scholars consider the prediction of repeat purchases in new retail models. Based on the real data of community group buying enterprises, this paper will study the prediction of community group buying users' repurchase behavior. Firstly, this paper carries out feature engineering according to the characteristics of the community groups buying industry. Finally, 313 features are extracted from the user dimension, head dimension, and business personnel dimension, respectively. Then, based on the heterogeneous integrated learning method stacking, three two-tier fusion models with the same primary learners but different secondary learners are constructed. Two homogeneous ensemble learning models, random forest and lightgbm, and the traditional single machine learning model are introduced for comparative experiments. Experiments show that the fusion model based on ensemble learning method has better prediction performance than a single model. Among the fusion models, the stacking two-layer fusion model with neural network model as secondary learner is the best.
A hybrid multi-modal visual data cross fusion network for indoor and outdoor scene segmentation

Multi-modal scene parsing is a prevalent topic in robotics and autonomous driving since the knowledge of different modalities can complement each other. Recently, the success of self-attention-based methods has demonstrated the effectiveness of capturing long-range dependencies. However, the tremendous cost dramatically limits the application of this idea in multi-modal fusion. To alleviate this problem, this paper designs a multimodal additive-attention cross-fusion block (AC) and an efficient AC variant (EAC) to effectively capture global awareness among different modalities. Moreover, a simple yet efficient transformer-based trans-context block (TC) is also presented to incorporate contextual information. Based on the above components, we propose a light hybrid cross-fusion network (HCFNet), which can explore long-range dependencies of multi-modal information while keeping local details. Finally, we conduct comprehensive experiments and analyses on both indoor (NYUv2-13, -40) and outdoor (Cityscapes-11) datasets. Experimental results show that the proposed HCFNet outperforms current start-of-the-art methods with mIoU scores of 66.9% and 51.5% on NYUv2-13 and -40 class settings, respectively. Our model also shows a competitive mIoU score of 80.6% on the Cityscapes-11 dataset. The code will be available at https://github.com/Superjie13/HCFNet.
Research of Evaluation Index and Evaluation Method of Fault Diagnosis in Digitalized Substation Area

Digitalized substation area in power distribution system based on smart terminal unit has increasingly become an important carrier for the development of advanced business applications in the distribution network. This digitalization process has brought about important changes in the solution of fault location and judgment problem. This paper analyzes the principle of fault diagnosis of digitalized substation area, put forward an evaluation index system including first priority function index and second priority performance index, calculates the weight of each index by combining analytic hierarchy process and improved entropy weight method. And uses fuzzy comprehensive evaluation method to evaluate the result of fault diagnosis. The effectiveness of the proposed evaluation index and evaluation method is verified by an example.
Review on Credit Card Fraud Detection Techniques

Online transactions have taken the world by storm in today’s society and credit cards stand one of the maximum used expense methods. Because of this popularity, fraud has arisen in this field, which is called credit card fraud. Credit card fraud has become a worldwide concern. This research work examines the identification of credit card fraud techniques. Different machine learning, data mining, as well as neural network techniques have been reviewed and compared in the domain of fraud detection system. The review found that hybrid techniques like olightGBM, SA-ANN and many more that were used in literature performed well. The comparative analysis also listed the evaluation matrices and ways which researchers used to balance the dataset and improve their performance.
PEDAGOGICAL PRINCIPLES OF FORMING TELECOMMUNICATIONAL COMPETENCE OF FUTURE MATHEMATICS, SYSTEM PROGRAMMERS

5.8.7)УДК 37.
ANALISIS PEMANENAN AIR HUJAN (STUDI KASUS DI KAMPUS UNTAG SEMARANG)

Human needs for vital living air, ranging from ablution, bathing, washing, latrine, cooking, washing, and so on. The limitation of clean water from PDAM is a necessity, because to meet the air needs of every resident who needs abundant raw water and adequate infrastructure. UNTAG Semarang campus which is located on Jl. Pawiyatan Luhur, Bendan Duwur Village, Gajahmungkur District, Semarang City has 7 main buildings. All of these buildings have daily water needs for toilets, ablution and watering plants around the buildings. The highest potential for rainwater harvesting at the UNTAG Semarang Campus is in February with the following potential catches: Faculty Building 233 m3, Fisip &amp; FTP Building 211 m3, Faculty &amp; Rectorate Building 321 m3, FEB &amp; YPP 17 Building 229 m3, Rusunawa Building is 48 m3, Campus Mosque is 26 m3 and PMB Building &amp; Library is 48 m3.
Teaching Project Based Learning in English for Specific Purposes

English course in Diponegoro University as the basic required course is offered mostly by the department without giving any prior consideration of its purpose, and mostly arranged by the teachers without any guidance from the departments. This study is conducted with the purpose to see the possibility of teaching English by focusing the materials on students’ main competence and emphasized on student centered learning. The action research is targeted on having students use their English in demonstrating their main competence both in speaking and writing, through the method of Project Based Learning. The result shows that students are more motivated to study English and that it helps students to take the benefit of learning English for the development of their main competence. The further benefit is that students are able to increase their ability in academic writing and that they have more confident in speaking English. The main drawback from the study is that the groups work well to help students work more completely and easily, however it is true that since the works are mostly in group, individual problem may not be easily catered.
Using Certainty Factor for Symptoms Diagnosis of Thyroid Disorders

The thyroid is a show that plays a vital role in hormone regulation in the human body. If the thyroid is impaired, it affects the body's function and results in abnormal body functions. Some diseases caused by thyroid disorders are very diverse, and it is necessary to have a system in place to diagnose someone with thyroid disorders so that it is appropriate to check for sloping symptoms. Therefore, the right system for the diagnosis of thyroid disorders is an expert system. Expert systems can replace the role of experts in a particular field, in this case, medical personnel who play a role in the diagnosis of a disease. The expert system tries to make a design according to the symptoms of body diseases that lead to thyroid disorders. This expert system used the certainty factor method, which categorized some thyroid disorders and the confidence level of each disease category. This design is in the form of a framework and can be developed further to be implemented for patients.
Analysis and Research of Intelligent Test and Appraise System Based on ADO. NET

This paper expounds the research and development of ADO.NET object model, VB.NET development environment and other related technologies and intelligent test and appraise system, analyzes the practical significance of system research and development and use, discusses the research and development process of database setting, array application, random test, intelligent test and appraise, information interaction, score analysis and other functions, and carries out system practice test, function upgrade and application prospect analysis.The system has been continuously used in the practical training of specialized courses.The results show that the system has good practicability and is well received by teachers and students.It is worth upgrading, perfecting and popularizing.
Introducing m-learning in the classroom: a proposal for diffraction and image processing training

We present results obtained with teaching and learning technique, the so called m-Learning (or mobile-Learning).This is a proposal with the aim to introduce an easy procedure to teach how to treat acquired images digitally, and to be detected and analyzed by undergraduate students, of the branch of physics and optics.The results indicated that m-learning could be compatible with diffraction phenomena training in the classroom.
RANCANG BANGUN E-COMMERCE SEBAGAI MEDIA PROMOSI DIGITAL DALAM MENUNJANG PENINGKATAN PENJUALAN BERBASIS WEB MOBILE

With so many cosmetic sales, the Grahamode Store is still constrained by 1) the location of stores that are far from urban areas, so that consumers have difficulty making purchases. At this time the sales system used by the Grahamode Shop is that the buyer must come directly to the Shop to make purchases and payments directly. 2) The price of competitive cosmetic products, even relatively cheaper opens up opportunities to compete with similar products in other stores, because the cosmetic products are directly purchased through distributors of each brand. 3) Administration of sales records is still centralized on the computer in the store, so monitoring product sales cannot be done online by the shop owner. 4) A system that is still MS.DOS-based for its operation. Promotions at the Grahamode Shop are also still conventional, namely by distributing brochures, even though it has gone well in Kendal City. The purpose of this study is to produce an information system that can facilitate the Grahamode Shop in conducting promotional activities, and facilitate the process of buying and selling cosmetics online. Data collection methods used are interviews, observations, literature studies, and documentation studies for owners and customers of the Grahamode Store. While the software used is PHP and MySQL as the database. The results of this study produce e-commerce as a mobile web-based promotion and sales media that can help the process of buying and selling products at the Grahamode Shop, and can expand the range of promotions to outside Kendal City.
Implementation of a Web-based Digital Repository Information System at the Office of Sumbersekar Village

This research-based community service program is entitled Implementation of a Web-based Digital Repository Information System at the Office of Sumbersekar Village. This activity is motivated by the need to conduct collaborative learning programs with the village for the implementation of research results. Activities oriented towards product implementation as a more comprehensive effort for the downstream process of research results in the service carried out by private universities that can be utilized by the community. Down streaming the results of this research is also the basis for managing collaborative learning activities for the Independent Learning (as suggested by the term MBKM) between Ma Chung University and the village. The issue of the village's desire to switch from a manual system to a computerized system is our focus. In the transition process from manual to computerized system, many information systems are needed, one of which is data digitization. Digitizing the repository allows centralized data so that the village staffs will find them easier to search when needed. Centralized storage media can support verification, namely the process of checking, confirming, and ensuring archives, ensuring the legality and integrity of related files and their relationship to the village. The repository information system implemented at the village office is expected to minimize archiving errors, facilitate data retrieval, avoid lost or damaged documents, and can anticipate data theft. This repository information system also facilitates the process of monitoring, controlling, as well as backing up data. Therefore, this community service has successfully implemented a repository information system for internal village documents.
Large-Scale Quantum Computer System Based on Laser Technology

We explain our approach to quantum computers based on continuous variables in quantum optics. We deterministically exploit squeezed states for creating entanglements. We successfully generated ultralarge- scale cluster states by employing the time-domain multiplexing strategy. Cluster states are entanglement resources for measurement-based universal quantum computation.
Sentiment analysis of government regulations regarding the implementation of reverse-transcriptase polymerase chain reaction (RT-PCR) during the Covid-19 pandemic in Indonesia (Case study: Air transportation mode)

Many people express their opinions regarding policies or rules imposed by the government through Twitter social media. This study was conducted to determine public sentiment regarding the rules for implementing the reverse-transcriptase polymerase chain reaction (RT-PCR) test as one of the requirements for using air transportation. The research was conducted using the Random Forest and K-Nearest Neighbor (KNN) algorithms and the CRISP-DM research method. Twitter data used is classified into negative, neutral and positive. The results of the sentiment analysis showed that the KNN algorithm outperformed Random Forest with an accuracy value of 75.63% and the sampling technique used was stratified sampling. The results of the sentiment analysis show that the public has a negative sentiment towards the policies issued by the government.
Critical Knowledge Transfer on Achieving Bloom Taxonomy Objectives in High-Tech Teacher-Centered Environment

Critical knowledge, compared with knowledge, emphasizes the vital knowledge that is valuable and competitive in the future.This study concentrates on the critical knowledge of teaching tools and techniques to achieve the educational objectives of Bloom Taxonomy in a digital education environment that is teacher-centered oriented with high technology support.Utilizing knowledge elicitation to interact with experts through interviews to capture the deep smartness and representing the know-what and know-how through knowledge mapping, which transfers the tacit knowledge in experts' heads into explicit knowledge.Therefore, we propose a guideline for university teachers as a reference to teach to accomplish the educational goals step by step, eliminating the knowledge rework and prospecting the potential of innovation in particular.
Opportunities Provided by Technology-Mediated Learning in Creating an Environment in which the Learner's Interactions with Learning Materials, Peers

This paper will represent many types of viewpoints and opinions about the opportunities of technology-mediated learning methods. This paper also highlights learning methods through materials and peers such as outcomes, current situations, needful techniques and many more other steps. On the other hand, the issues and its prevention plans will also be mentioned under this paper through a logical manner. However, the current situation of these learning subjects also needs to be noticed as this paper highlights the current process of this study’s learning methods in a proper manner. Keyword : Technology-mediated learning, learning interactions, attractive environmental conduction needs
SELF-EDUCATIONAL ACTIVITY OF UNIVERSITY STUDENTS IN THE STUDY OF DIFFERENTIAL EQUATIONS

The article discusses one of the ways of organizing self-educational activities of students (SDS) when studying mathematics at a technical university. In the context of the transition to state standards of a new generation, the problem of the organization of SODS is particularly important, since its volume should be at least half of the total number of hours provided for the study of the discipline. In this paper, a matrix model of the organization of students' self-educational activities is used, which provides the organization of disciplinary modules and the systematization of educational tasks at four levels of complexity. Cognitive levels are highlighted: perception, comprehension, algorithmization and control, which represent one of the possible structures of the cognitive process. Combining the levels of cognitive process and self-educational activity made it possible to obtain a matrix model of the organization of the SODS, which was applied to the study of mathematics by students of the construction and economics faculties of Samara State University of Railways, which made it possible to guarantee their assimilation of educational material with a quality not lower than basic. An example of a test task of the second level of complexity is given, which allows students to self-test their knowledge and assess the level of assimilation of educational information, while acquiring self-education and self-assessment skills.
EDUCATIONAL MOBILE APPLICATION BASED ON CONCEPT MAPS

Educational portals proved their efficiency as an integral part of the modern educational process. Due to the new wave of mobile technology, educational mobile applications supplant textbooks and even web-systems. On the other hand the abundance of infor
Online Open Course Blended Learning Instructional Design Research.

In view of the existing teaching design problems such as inaccurate analysis of learning situation, insufficient flexibility of teaching presupposition, insufficient adaptability of situation design, insufficient interaction of activity design, and unreasonable evaluation design, this study is based on the blended learning teaching structure and process. A staged and hierarchical online and offline hybrid teaching design framework is constructed. The teaching design framework mainly includes four aspects: pre-class pre-set and learning situation diagnosis analysis design, in-class situation creation and interactive implementation teaching design, after-class expansion and migration teaching design, and diversified teaching evaluation design with equal emphasis on process and results. To "recognize the material", accurately design teaching, "teaching" efficiently, and evaluate objectively and comprehensively.
Robot Control Using Model-Based Reinforcement Learning With Inverse Kinematics

This work investigates the complications of robotic learning using reinforcement learning (RL). While RL has enormous potential for solving complex tasks its major caveat is the computation cost- and time-intensive training procedure. This work aims to address this issue by introducing a humanlike thinking and acting paradigm to a RL approach. It utilizes model-based deep RL for planning (think) coupled with inverse kinematics (IK) for the execution of actions (act). The approach was developed and tested using a Franka Emika Panda robot model in a simulated environment using the PyBullet physics engine Bullet. It was tested on three different simulated tasks and then compared to the conventional method using RL-only to learn the same tasks. The results show that the RL algorithm with IK converges significantly faster and with higher quality than the applied conventional approach, achieving 98%, 99% and 98% success rates for tasks 1-3 respectively. This work verifies its benefit for use of RL-IK with multi-joint robots.
Route Specification

Autonomous vehicles (especially autonomous shuttle buses) operate like a vehicle on rails that travels on a well-established route and stops at stations on the route. The main difference is the road, which in the case of autonomous vehicles is a virtual route, a line defined by geographical coordinates (latitude, longitude, altitude).
Analysis of Intelligent Agent and Its Components for the SLA Negotiation Process in Cloud Computing

Cloud service providers (CSP) are facing a competitive environment in the cloud-computing world and CSP is huge in demand with the growing field of IoT, fog, and cloud services. Consumers are always looking forward to acquiring services as per requirement. Due to the competitive field in the market of cloud computing, consumers face issues during the delivery of services. Consumer and CSP need an intelligent agent to mediate which performs the negotiations process on behalf of both parties and maintaining other responsibilities. An intelligent agent-based negotiation system (IANS) is required to perform the negotiation process and measure the KPIs during the process that helps to make quick decisions in minimum time. Researchers suggested many learning algorithm-based agents that maximize the success rate and speed of negotiation. IANS with behavior analysis of consumers and CSP helps to opt for more reliable and secure services. IANS uses negotiation metrics, performance factors, and evaluation measures for decision. Due to the dynamic environment of cloud services, IANS is recommended for the negotiation process.