Reviewerly/exHarmony huggingface dataset:
Anonymous IoT Data Storage and Transaction Protocol Based on Blockchain and Edge Computing

This paper proposes a distributed data anonymous storage and transaction protocol that discards the centralized architecture and distributes the computational pressure to each edge device through blockchain and edge computing. In addition, a pseudo-identity-based data anonymous storage scheme is designed based on ElGamal cryptosystem, and the anonymous transaction scheme based on ECDLP and blinding signature allows sellers and buyers to directly trade through the blockchain. The protocol proposed in this paper effectively guarantees the security of data storage and the anonymity of data transactions.
Attention-Based Text Recognition in Image

Scene text recognition has attracted lots of research interest in computer vision for decades due to its various application. However, it is still a challenging task because of texts appearance variations in term of perspective distortion, text line curvature, text styles as well as font size. Almost all existing state of the art methods adopt the attention-based encoder-decoder framework which uses RNN as main structure. Inspired by the outstanding performance of transformer, which also adoptsencoder-decoder framework but discards the RNN unit, in the field of natural language processing, we develop the recognition network based on transformer (RNBT). And we also modify the loss function to improve the problem that the encoder-decode framework gets bad recognition performance on images that has longer text length than images in training set. The whole network can be trained end-to-end by using only images and image-level annotations. Extensive experiments on various public datasets, including CUTE80, SVT-Perspective, IIIT5K, SVT and ICDAR datasets, show that the proposed method achieves excellent performance on both regular and irregular datasets.
Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients

We analyse a large drug prescription dataset and test the hypothesis that drug prescription data can be used to predict further complications in older patients newly diagnosed with type 2 diabetes mellitus. More specifically, we focus on mortality and polypharmacy prediction. We also examine the balance between interpretability and predictive performance for both prediction tasks, and compare performance of interpretable models with models generated with automated methods. Our results show good predictive performance in the polypharmacy prediction task with AUC of 0.859 (95% CI: 0.857–0.861). On the other hand, we were only able to achieve the average predictive performance for mortality prediction task with AUC of 0.754 (0.747–0.761). It was also shown that adding additional drug related features increased the performance only in the polypharmacy prediction task, while additional information on prescribed drugs did not influence the performance in the mortality prediction. Despite the limited success in mortality prediction, this study demonstrates the added value of the systematic collection and use of Electronic Health Record (EHR) data in solving the problem of polypharmacy related complications in older age.
Study on Design Parameters Setting for the Jug-handle-type Far-leading Intersection

Abstract The left-turn traffic on the sub-arterial road at the intersection has a greater impact on the intersection traffic, the collision of vehicles can be reduced and the efficiency of the intersection will be improved by setting the Jug-handle-type far-leading (JHTFL) on the left-turn traffic flow through the sub-arterial road. In this paper, the applicable conditions and traffic flow organization method of the horizontal JHTFL intersection is analysed. Taking the minimum delay as the goal, several calculation models of the key geometric parameters are built, such as the length of the speed-change lane in front the ramp entrance, the distance between the ramp entrance and the main intersection, the queue length of the far-leading vehicles on the ramp and the length of the ramp, etc. The calculation methods for the delay and capacity of the JHTFL intersection are also presented. The feasibility of the above methods is verified by an example. Under certain conditions, we can find the left-turning traffic flow at the intersections can effectively reduce the number of signal phases and the average delay of the vehicle through the simulation. The results indicate the horizontal JHTFL intersection method has a good application value for optimizing the design of urban intersections.
Fault Tolerant Broad Learning System

The broad learning system (BLS) approach provides low computational complexity solutions for training flat structure feedforward networks. However, many BLS algorithms deal with the faultless situation only. This paper addresses the fault tolerant ability of BLS networks. We call our approach fault tolerant BLS (FTBLS). First, we develop a fault tolerant objective function for BLS. Based on the developed objective function, we develop a training algorithm to construct a BLS network. The simulation results show that our proposed FTBLS is much better than the classical BLS.
Sri Aurobindo and the mother on five aspects of integral education

The complete education proposed by Sri Aurobindo and the Mother has five major aspects connecting to the five main activities of the human beings: the physical, the mental, the vital, the psychic and the spiritual. This type of education is known as the “Integral Education” and its aim is “all round development” of the individual, locally and globally.
Connected Vehicle

The Internet of Things (IoT) is a network of smart objects which are embedded with sensors, microcontrollers, communication protocols, and software, which helps these smart objects to share or exchange the data remotely. The Machine-to-Machine technology in IoT leads to a more comfortable lifestyle. The fundamental purpose of this project is to design, implement and refine an IoT based system to monitor automotive embedded systems. And the primary focus of the project is to alert the owner from potential risks to their vehicle as quickly as possible when it is parked. Specifically, in this paper, a novel automotive security system is designed using a Raspberry Pi (or other microcontroller breakout board), sensors and use IoT protocols to monitor any alarms from a mobile device.
SISTEM INFORMASI PELAYANAN ONLINE IZIN MENDIRIKAN BANGUNAN (IMB) BERBASIS WEB MOBILE

ABSTRACT : Dinas Pekerjaan Umum & Penataan Ruang Kota Palembang (PUPR) requires support from an information system to help reduce the existing complexity, that is, information for permit applicants takes time and the procedure for registration requests is still not informed directly and openly, files and nonexistent, data between each part of the work unit. The purpose of this study is to discuss and establish an Online Registration Permit Building Registration Information System (IMB) at the Public Works and Spatial Planning Office of Palembang City. The system development method used is the prototype method, the Unified Modeling Language (UML) and using the PHP programming language, for the database using MySQL. The expected results of this research are IMB Mobile Web-based Information System Services is an information system that can be a service solution in terms of service, request status approval, shipping information, and dynamic reporting. Keywords :Dinas Pekerjaan Umum dan Penataan Ruang Kota Palembang, Permit Applicants, Openly, Building Permit.
A Multiobjective Genetic Approach with TOPSIS to Learn Fuzzy Rule-Based Classification Systems

The design of a Fuzzy Rule-Based Classification System (FRBCS) taking into account accuracy and interpretability (number of rules) of the FRBCS is an important issue. In this paper, we extend our previous work by considering the average number of fuzzy labels per input variable as a new objective to be treated with TOPSIS. In addition, we employ information entropy to determine the weights of the evaluation criteria. We compare our proposal with a method that deals with the accuracy-interpretability tradeoff by means of a multiobjective evolutionary process based on the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The obtained results show the effectiveness of the proposed approach.
Research on Harmonic Current Functional Analysis of AC Arc Furnaces and Evaluation of Harmonic Level

This paper analyses the synchronous measuring data of harmonic current in AC arc furnaces with method of functional analysis, calculates the interaction angle between serial data of harmonic current in two arc furnaces, gets the conclusion that serial data of harmonic current in two arc furnaces are orthogonal, derives superposition formula for synthesizing harmonic currents of multi-arc furnaces and formula for evaluating harmonic voltage level beforehand in construction of power supply area of AC arc furnaces.
Software Design of Automatic Parking Robot Based on Flat Stereo Garage

In order to meet the urgent needs of the robot of automatic vehicle in the flat three-dimensional garage, this paper introduces a new type of plane-type heavy-duty automatic handling robot, which is independently developed by our company and has functions such as driving along fixed paths, autonomous navigation, secondary anti-collision, sound and light alarm. It is characterized by a significant load and can be used for automatic handling of all household models of 2.5t and below. Fast speed, up to a top speed of 3m/s. Spin in place, no need to set a turning radius, so that the garage layout is more tightly, car density than ordinary garage can be increased by 65%. Automatically find and charge the charging bit, working 24 hours a day. By my company in-field and test site for a long time repeated verification, the robot work condition is stable, high efficiency, low failure rate, each flat three-dimensional garage configuration 3-5 automatic handling robot, can greatly improve the use and operation efficiency of the entire garage, greatly improve the economic and social benefits of the garage.
A new view on fuzzy automata normed linear structure spaces

In this paper, the concept of fuzzy automata normed linear structure spaces is introduced and suitable examples are provided. ;The ;concepts of fuzzy automata $alpha$-open sphere, fuzzy automata $mathscr{N}$-locally compact spaces, fuzzy automata $mathscr{N}$-Hausdorff spaces are also discussed. Some properties related with to fuzzy automata normed linear structure spaces and fuzzy automata $mathscr{N}$-Hausdorff spaces are discussed.
Perspectives on the Potential Application of Intelligent Machines in the Cyber Economy

Intelligent machines have become important elements in modern economic development. This chapter studies potential directions for the application of intelligent machines in the cyber economy with a focus on industry, the development of cities, and healthcare. The opportunities and challenges of such applications are analyzed.
Analysis of Vehicle Activities and Live Streaming using IOT

This paper presents analysis of vehicle activities and live streaming that helps to analysis the cause of vehicular accidents. The aim is to analysis accidents by tracking what occurs in vehicles. Use sensors to record the varied driving information like Alcohol sensor, vibration sensor. The system use external sensor such as GPS to collect location and display on maps. Here we can analyze the vehicle live position by using its latitude and longitude. DC motor to control the vehicle moments. we observe the activities of vehicle, such as moving or not.  The proposed system has ability to control live video streaming over the internet local host.
The Utilization of YouTube Media in Learning Antropology in Higher Education

Abstract Ethnic and cultural diversity in Indonesia has become a teaching material in studying Anthropology at university. But the changes that occur in Disruption Era resulted the warning of cultural elements in certain of ethnic groups. YouTube is a media that able to display various cultural videos that still exist. Utilization of YouTube as an Anthropology Learning Media makes it easy for students to access and study cultural elements in one ethnic group. The method that used in this study is descriptive quantitative using a questionnaire as a research instrument. A sample is about 60 students with a population of 100 students from the Faculty of Social Sciences. Data collection techniques is using a linkert scale. Based on the data that obtained from the respondents, it shows that the level of student satisfaction in using YouTube as a Learning Media is very high at 50% very interesting, 25% interesting, 16,67% quite interesting, 8,33% less interesting.
REINFORCEMENT USED IN TEACHING YOUNG LEARNERS

AbstrakPenelitian ini bertujuan untuk menganalisis reinforcement yang digunakan untuk mengajar anak usia dini. Penelitian ini merupakan penelitian kualitatif pada study kasus. Subjek yang diteliti merupakan guru-guru di TK Aura Sukma Insani. Data dikumpulkan melalui observasi merekam, dan bertanya jawab. Instrument yang digunakan adalah panduan wawancara, perekam video, kamera, lembar observasi, dan catatan. Hasilnya menunjukan bahwa guru-guru di TK Aura Sukma Insani mengimplentasikan reinforcement positif dan negative. Reinforcement positif yang paling umum digunakan sedangkan reinforcement negative jarang digunakan oleh guru-guru.Kata kunci: reinforcement, reinforcement positif, reinforcement negatifAbstract This study aimed at analyzing reinforcement used in teaching young learners. The study was qualitative case study. The subjects of this study were the teachers of Aura Sukma Insani Kindergarten. The data were collected through observation, recording, and interview. Data of this study was collected by using several instruments, namely; interview guide, video recorder, camera, observation sheet, and field note. The finding shows that the teachers at Aura Sukma Insani Kindergarten implemented positive and negative reinforcements to manage students’ behaviors. The most common reinforcement given was positive reinforcement such as giving praise, sticker, rolled paper, etc. The negative reinforcement was rarely implemented.Keywords: reinforcement, positive reinforcement, negative reinforcement.
Analysis of research trends in early childhood creativity education: Focusing on journal articles published from 2005 to 2008

연구목적: 본 연구는 학술지를 중심으로 2005년~2018년까지 유아 창의성 교육 관련 연구물의 동향을 분석함에 목적을 두었다. 방법: 연도별 논문 수, 연구대상, 연구자 수, 연구방법, 연구주제에 대한 정량적 분석과 5개 범주의 연구주제별 동향분석 및 3개 범주의 세부내용을 비교 분석하는 방법을 사용하였다. 결과: 첫째, 총 발행 편수는 48편으로 연도별 약 4편의 연구논문이 발행되었다. 둘째, 유아를 대상으로 한 연구가 가장 많았고, 교사, 유아, 성인 대상 순으로 연구가 진행되었다. 셋째, 연구자 수를 분석해 보면, 1인 연구와 더불어 2인 이상의 공동 연구 형태가 매년 꾸준히 증가하고 있는 것으로 나타났다. 넷째, 연구방법으로 양적연구가 가장 많이 차지하였고, 혼합, 질적 연구도 이루어졌다. 다섯째, 연도별 연구주제는 2005년 이후 창의성 교육연구가 1편 이상씩 고른 분포로 발표되고 있는 것으로 나타났다. 여섯째, 연도별 연구내용은 창의성 교육방법에 관한 연구가 전체 연구의 과반 수 이상을 차지하였다. 결론: 본 연구의 이러한 결과는 향후 유아 창의성 교육연구에 대한 이해를 돕고, 유아 창의성 연구의 발전을 위한 방향 제시를 통해 우리나라 미래 유아 창의성 교육연구의 활성화에 도움이 될 수 있으리라 판단된다.Objectives: The purpose of this study is to analyze the trends of research related to early childhood creativity education from 2005 to 2018, focusing on ‘early childhood creativity education published in 2005-2018. Methods: We analyzed the number of papers, research subjects, number of researchers, research methods, and research topics by year, and we used trend analysis for five categories of research topics and comparative analysis of the details for three categories. Results: The results of the study are as follows. First, the total number of publications was 48 and about four research papers were published per year. Second, most of the studies were conducted on infants, followed by teachers, infants and adults. Third, as a result of analyzing the number of researchers, the one-person research is steadily being conducted, and joint research of two or more people is continuously increasing. Fourth, quantitative research was the most common research method, and mixed and qualitative research were also conducted. Fifth, the analysis of the research topics by year shows that more than one paper on creativity education research has been published in evenly distributed cases every year since 2005. Sixth, as a result of analyzing the contents of the study by year, more than half of the studies were about the method of creativity education. Conclusions: This study will be helpful for understanding the future education of early childhood creativity education and is expected to be helpful for revitalizing future early childhood creativity education research by suggesting a direction for the development of early childhood creativity research.
Optimal form of the Kretschmann–Schlingemann–Werner theorem for energy-constrained quantum channels and operations

It is proved that the energy-constrained Bures distance between arbitrary infinite-dimensional quantum channels is equal to the operator E-norm distance from any given Stinespring isometry of one channel to the set of all Stinespring isometries of another channel with the same environment. The same result is shown to be valid for arbitrary quantum operations.
무크를 활용한 한국어 수업 사례 연구 - 중국에서의 &lt;한국어 입문&gt; 강좌를 중심으로 -

MOOC (Massive Open Online Courses) is a new type of education system that allows students to take free lectures at prestigious universities around the world online. Introduction to Korean, available on the WEMOOC platform, is the first Korean Education MOOC now in China. From March 2016 to spring semester 2019, more than 78,000 students have registered online. In this paper, the investigation of the “Introduction to Korean” course, which has been implemented for 7 semesters in the MOOC platform, is divided into several parts-including operation status, lecture composition and learner status-to find out existing problems and explore the development direction of Korean education in the MOOC platform through cases in actual operation. This kind of discussion requires further debate and follow-up research on what the quality of education imparted through the Internet as well as the effect of on line learning. This paper, through its focus on MOOC, aims to serves a reference point for new forms of Korean language education using educational innovation and technology.
When It’s Time to Move On

Software development projects are staffed by people like and you me, and where human beings are involved, things can sometimes get out of hand. There will be incessant conflicts on projects, and there will be expectations that are unrealistic, impossible, and downright unprofessional.
Practical one-step synthesis of multipartite entangled states on superconducting circuits

Quantum entanglement is an important resource for quantum information processing tasks. However, realistic multipartite entangled state production is very difficult. In this paper, we propose an efficient single-step scheme for generating many body Greenberger–Horne–Zeilinger (GHZ) states on superconducting circuits by using a superconducting transmission-line resonator (TLR) interact with [Formula: see text] superconducting transmon qubits. The distinct merit of our proposal is that it does not require the qubit-resonator coupling strengths to be the same, which is usually impractical experimentally, and thus is one of the main reasons for entanglement generation infidelity in previous single-step schemes. The removing of the uniform interaction requirement is achieved by modulating the qubits splitting frequencies with ac microwave fields, which results in tunable individual qubit-resonator coupling strength, and thus effective uniform qubit–qubit interaction Hamiltonian can be obtained. Since microwave control is conventional nowadays, our proposal can be directly tested experimentally, which makes previous multipartite entangled states generation schemes more efficient.
Intelligent method of customs inspection platform based on machine vision

Abstract In the existing customs inspection, the inspection of outbound goods includes recording the arrival time of containers, opening and closing of containers, and the departure time of containers. This method takes a lot of time to manually record the relevant information of each container and manually input it to the server. This paper presents an intelligent method of customs inspection platform based on machine vision, through the analysis of collected video information processing, the inspection of each node in the process of time, behavior, such as digital processing, database, automatically record each inspection position of the box, opening time, sorting, inspection, packing, closing time, leaving time, behavior, compliance and other information. It greatly improves the efficiency and safety of container inspection and avoids the random and uncertain behavior of manual record. This system can automatically record the dynamic changes of containers in the storage yard in real time without anyone participating, improve the digitization and accuracy of the information of container state changes, reduce the working intensity of customs personnel, and reduce the working risks of personnel in the storage yard.
PAFR: Privacy-Aware Friends Retrieval over Online Social Networks

Online Social Networks (OSNs) are online services that people use to build social relations with other people. Friends retrieval over OSNs is an important activity among users. However, in existing friends retrieval solutions, user may leak private and sensitive information, such as personal data and friends relation. Traditional end-to-end encryption methods can protect users’ information, while it is not available for them to share contents with others. In this paper, aiming at preventing attack launched by the service provider, we propose PAFR, a Privacy-Aware Friends Retrieval scheme over OSNs. Inspired by private set interaction protocols, our scheme allows user to upload his encrypted contents to server, obliviously connect with others as friends, and retrieve friends with specific content. In addition, we design a dual-server model where two non-collude servers $$\mathcal {S}_1$$ and $$\mathcal {S}_2$$ perform secure sorting protocol to retrieve the ranked relevant friends without learning the underlying query and friends relationship. Compared with the approach with single server holding the whole knowledge of the OSN, each of them only has a part of the information make our scheme achieve a high level of privacy. Both security and performance analysis demonstrate that our scheme has both a very light user workload and a moderate server workload while being secure against user-server collusion.
Effective Dual-images based Reversible Information Hiding Scheme based on Complexity Analysis and Thresholds Controlling

Information hiding is a method that can effectively transmit secret messages on the Internet or mobile environment. Among all kinds of information hiding methods, dual-images reversible information hiding technology has been paid a lot of attention recently because it has better image quality and embedding capacity and realizes the concept of secret sharing. Lu et al. proposed a block folding based reversible dual-images hiding scheme in 2017. They split the secret information into two sections and encode them into smaller digits to improve the quality of the camouflage image. However, this method requires an additional pixel to record section numbers, that will limit the amount of information stored. This study considers the complexity of the block to analysis how many bits can be concealed in the pixel to solve the problem. Two thresholds are used to control the image quality. Experimental results show that the proposed scheme indeed improves the hiding performance.