Reviewerly/exHarmony huggingface dataset:
On the definition of autonomous dependable control of complex technical systems

Automated manufactures, nuclear power plants, railroad transportation, and spacecrafts can be reviewed as examples of very complex modern technical systems. The subsystems of such systems contain dozens of sensors, actuators, etc. To achieve the system goals we need to implement the specific schedule of right synchronized and logically coordinated processes involving various onboard devices. The system control means should be autonomous and dependable. It must implement needed control to complete system tasks in the changing environment and even in case of some faults of the equipment. The other important aspect is compliance with the limited levels of the available onboard resources during the whole mission - electric power, etc. The paper discusses the notion of such autonomous dependable control. The aspects of complexity and requirements for “intelligence” to provide needed control having been analyzed. We discuss perspective approaches to synthesis and verification of such intelligent and dependable control.
Photometric Consistency For Dual Fisheye Cameras

Back-to-back dual fisheye cameras are the most popular and cost-effective device to capture 360° images. However, inconsistent intensity and color between the pair of fisheye images often cause visible artifacts in the final 360° image. In this paper, we present a method to create photometric consistency between the two fisheye images. Specifically, we propose a loss function for image intensity compensation and a local color transfer model for color correction. Experimental results show that our method is able to correct the photometric inconsistency between dual fisheye images for high-quality 360° imaging.
A Path for the Implementation of Best Practices for Software Requirements Management Process Using a Multimodel Environment

Continuous improvement is one of the topics of interest for organizations seeking positioning opportunities in the world market. However, software development organizations have high levels of difficulty to implement best practices that address continuous improvement. This paper presents a path to follow to facilitate the work of continuous improvement in a software development organization and that seeks to implement best practices in the software requirements management process. The path is drawn from an analysis of software process improvement models and standards related to software development best practices, under a multimodel environment. The path is structured with a set of techniques, tools, activities, and outputs associated with identified best practices, to facilitate the implementation of improvements in the software requirements management process. Besides, the established path is proposed as an alternative to facilitate the process improvement using a multimodel environment, this way allows establishing balance and instances of collaboration among best practices independent of the model or standard to be implemented.
Fully Automated Digital Mammogram Segmentation

The “Computer-Aided Detection and Diagnosis” (CADx) system plays a vital role as second look to identify and analyze the breast carcinoma. The functioning of CADx can be degraded due to some factors like the appearance of impulse and speckle noise, artifacts, and low contrast both in CC and MLO views and pectoral muscles appears in mammogram’s MLO view. For this reason, noise elimination, artifacts and pectoral muscles, mammogram image enhancement, and breast profile extraction are significant prior process stages in the CADx system for breast carcinoma analysis. The research is aimed to propose a precise and effective method for completely automated mammogram image segmentation which includes CC and MLO views. In this paper, median filter and Wiener filter are used for noise removal, threshold based on otsu’s method for artifact removal, “Contrast limited histogram equalization” method for mammogram enrichment in both views and multilevel threshold with canny edge detection for pectoral muscle segmentation and breast parenchyma extraction. The proposed work was examined on mammographic images containing both views from CBIS-DDSM and MIAS databases. Jaccard similarity index, Dice similarity index, and Score Matching methods have been employed to estimate the performance of segmentation results that represents the proposed work’s effectivity and usability.
Edge Storage Solution Based on Computational Object Storage

Emerging computing/storage architecture provides new opportunities and requirements for multimedia data storage, especially at the edge (close to where the data is captured). Computational storage, defined as an architecture that conducts data processing at the storage layer so as to offload host processing or reduce data movement, allows raw data to be analyzed as the data are stored. As a consequence, the data to be stored may intrinsically carry richer metadata. Meanwhile object storage is a data storage architecture that organizes data into flexible-sized data containers, named objects. Combining object and computational storage, this paper described an edge data storage platform built on a representative computational object storage with content indexed object keys. The platform provides both computing and storage scalability for Edge applications while concurrently managing the richer metadata generated in a structured way to promote future information retrieval. Using video data as a sample use case, the concept of object key design is illustrated.
Research on Poetry Language Style Teaching System Based on Data Visualization

The formation of poetic language is established by convention. Once it is formed, it is accepted by people and becomes a set and habitual. The language of poetry is the most concise and implicit of all literary genres and needs imagination and association. Classical poetry teaching is of great value and significance. At present, most of the teaching methods adopted are the forms that teachers imparting textbook knowledge in class, students accepting passively, teachers demonstrating experiments and students watching. Data visualization not only makes students interested in the forefront of visualization technology but also can use rich expressive force to make teaching forms more diverse. This paper constructs a poetry language style teaching system based on data visualization.
CryptoSPN: Privacy-Preserving Sum-Product Network Inference.

AI algorithms, and machine learning (ML) techniques in particular, are increasingly important to individuals' lives, but have caused a range of privacy concerns addressed by, e.g., the European GDPR. Using cryptographic techniques, it is possible to perform inference tasks remotely on sensitive client data in a privacy-preserving way: the server learns nothing about the input data and the model predictions, while the client learns nothing about the ML model (which is often considered intellectual property and might contain traces of sensitive data). While such privacy-preserving solutions are relatively efficient, they are mostly targeted at neural networks, can degrade the predictive accuracy, and usually reveal the network's topology. Furthermore, existing solutions are not readily accessible to ML experts, as prototype implementations are not well-integrated into ML frameworks and require extensive cryptographic knowledge. In this paper, we present CryptoSPN, a framework for privacy-preserving inference of sum-product networks (SPNs). SPNs are a tractable probabilistic graphical model that allows a range of exact inference queries in linear time. Specifically, we show how to efficiently perform SPN inference via secure multi-party computation (SMPC) without accuracy degradation while hiding sensitive client and training information with provable security guarantees. Next to foundations, CryptoSPN encompasses tools to easily transform existing SPNs into privacy-preserving executables. Our empirical results demonstrate that CryptoSPN achieves highly efficient and accurate inference in the order of seconds for medium-sized SPNs.
Research on College English Teaching Model Assisted by Computer Software

The development of new computer technologies such as new media technologie and the Internet has greatly promoted the reform of college English teaching. Today, Internet-based distance education has greatly optimized the environment for students to learn English. The development of it has established a more open teaching platform through emerging technologie such as the Internet, breaking through the unreasonable allocation of resources under the traditional teaching mode and promoting education. The booming development plays a vital role. This paper introduces the relationship between each subsystem and their functions and uses UML technology to model college English teaching systems.
The development and application of an English reading and writing instructional model for improving elementary students’ self-directed learning ability

The present study aims to develop and apply an English reading and writing instructional model for improving elementary school students’ self-directed learning ability. An instructional model, in which learning contracts and language learning strategies are used, was developed and applied to 104 sixth grade students in an elementary school over a period of 7 months. In order to verify the effect of the instruction, a self-directed learning ability test and an English reading and writing ability test were conducted before and after the application of the model. In addition, a qualitative analysis from the students’ learning contracts, reflection journal and interview data was carried out. The results of the study were as follows. First, the application of the reading and writing instructional model showed statistically significant differences in the students’ self-directed learning ability. By grouping the students into upper, middle and lower levels of reading and writing, the statistics showed significant results in all levels. By grouping the students into three levels according to their effort to finish their learning contract, the statistics showed significant results in upper and middle levels. Second, the application of the model showed a statistically significant difference in the students’ reading and writing abilities. Finally, through the qualitative analysis of the students’ responses, it was found that initially it was very difficult for students to learn English in a self-directed way, but as students became familiar with the process over time, their confidence, willingness to learn, interest and achievement of English were enhanced.
ICS Testbed Implementation Considering Dataset Collection Environment

As there have been a growing number of introductions to integrated management service on the ICS (industrial control systems) and advancements of smart factories which link to various forms of network, cyber attacks targeting the ICS have been on the rise. To defend against them, a full set of data is needed when attacks take place in the actual ICS. Collecting data from attacks is a difficult task to perform in the actual environment due to the characteristic of the ICS that requires high-level security. To resolve this issue, some studies are in progress as to building ICS testbeds and collecting attack data, but they face a problem of not reflecting requirements for the collection of attack data set. This paper describes considerations to take when building testbeds for security research on the ICS and suggests subsequent implementations of the testbeds for collecting a set of data on the ICS.
Influence of the Mother’s Awareness of Children’s Rights on the Types of Language Control

본 연구의 목적은 만 5세 자녀를 둔 어머니를 대상으로 아동권리에 대한 인식 수준이 언어통제유형에 미치는 영향을 알아보는 데 있다. 연구대상은 경기도에 위치한 유아교육기관 6곳에 재원하고 있는 만 5세 자녀를 둔 어머니 194명이다. 연구결과는 다음과 같다. 첫째, 어머니의 아동권리에 대한 인식과 명령적 언어통제유형 간에 통계적으로 유의한 음의 상관관계가 있었으며, 보호권에 대한 인식은 지위적 언어통제유형 간의 관계에서도 유의한 음의 상관관계가 나타났다. 둘째, 어머니의 보호권에 대한 인식은 명령적 언어통제유형과 지위적 언어통제유형에 유의한 음의 영향을 주는 것으로 나타났다. 결론적으로 어머니의 아동권리 중 특히 보호권에 대한 인식은 어머니의 언어통제유형과 밀접한 관계가 있음이 확인되었다. 이는 어머니의 아동권리에 대한 인식 특히 차별하지 않고 유아의 심리적·신체적 보호를 위한 아동권리교육 및 홍보활동 활성화의 중요성을 시사한다.This study was undertaken to investigate the influence of the levels of awareness of child rights on the types of language control in mothers with 5 years old children.. The subject of the study was 194 mothers with 5 years old children who are in six early childhood education institutions located in Gyeonggi-do. The obtained experimental results are as follows. First, there was a statistically significant negative correlation between the mother s awareness of children s rights and the imperative language control types, and the recognition of protection rights also had a significant negative correlation with the relationship between the status language control types. Second, it was found that the mother s perception of protection rights showed a significant negative influence on the imperative language control type and the status language control type. In conclusion, it was confirmed in the present study that especially, mother s perception of protection rights among children s rights was closely related to mother s language control type. These findings suggests the importance of vitalizing education for improving mothers awareness of child rights. especially about children s rights and public relations activities for the psychological and physical protection of infants without discrimination.
MODEL PENGEMBANGAN PERPUSTAKAANN PGSD FAKULTAS ILMU PENDIDIKAN UNIVERSITAS NEGERI JAKARTA UNTUK MEMBUDAYAKAN MINAT BACA MAHASISWA

Development of reading includes four kinds of activities, namely planning program growth and development of reading, and organize the implementation of the program, control the execution of the program and assess the implementation of the program of growth and development of reading interest, both within the family, school and community. Library can be used as a source of learning for the students because FIP PGSD library UNJ not only have a collection of books, but also in the form of a device for the presentation of the material through the CD, VCD, CD-ROMs, and the Internet. Library is an effective learning resources to increase knowledge. Availability of library materials allow each student select them according to interest and importance. The more students who diligently read also increase the level of knowledge. In addition to functioning as a place to get information, the library also serves PGSD FIP UNJ for education, learning and research. Therefore, the distribution of the collections of information should be directed to the learning needs of students.
Research on Autonomous Driving Perception Test Based on Adversarial Examples

Recently some accidents brought the safety of autonomous vehicles to the public’s attention. Autonomous vehicles are not only hardware products, but also a system of multi-sensor perception modules and Deep Neural Networks (DNNs) software. There are many methods to test traditional software. However, finding a good enough software testing method for vehicles on-board DNNs models is still an open problem. In this paper, we provide a testing method based on boundary value testing. For DNNs, many studies have shown that adversarial examples can disable DNNs, and they are often closed to the decision boundary. Therefore, adversarial examples can be used as test cases. To accomplish this task, we use two novel algorithms to design boundary value test cases: a white-box method based on gradient information and a black-box method using Deep Reinforcement Learning. Further, we propose a whole testing procedure, including a computer simulation test, sensor unit test and real vehicle test. The experimental results show that it is feasible to use adversarial examples for testing and our method could increase efficiency. Our work may have inspirations for automobile manufacturers and researchers.
Reconhecimento de Padrões em Imagens de Triatomíneos Usando Redes Neurais Artificiais com Algoritmo Backpropagation

Chagas disease, also known as American trypanosomiasis isone of the consequences of the human infection caused by theflagellate protozoan called Trypanosoma cruzi transmittedby the barbeiro of the subfamily Triatominae known as triatomines.In the Lower Tocantins region of the state of Para,three genera of barbers transmitting the disease are found.Searching for a way to automate the manual recognition process,this work aimed to implement a Model of Recognitionand Classification of Images of barbers found in the LowerTocantins region in order to recognize the genus of the insectthrough the use of Artificial Neural Networks PerceptronMulti-layered and performing training with Backpropagationalgorithm, helping to identify the transmitters. In themiddle of this recognition, the Digital Image Processing isperformed to extract important characteristics relevant to theclassification. This entire process is performed in MATLABsoftware through scripts and the creation of the ArtificialNeural Network in the toolbox called Pattern RecognitionApp.
Open IE-Triples Inference - Corpora Development and DNN Architectures

Natural language inference (NLI) is a well established part of natural language understanding (NLU).This task is usually stated as a 3-way classification of sentence pairs with respect to entailment relation (entailment, neutral, contradiction).In this work, we focus on a derived task of relation inference: we propose a method of transforming a general NLI corpus to an annotated corpus for relation inference that utilizes existing NLI annotations.We subsequently introduce a novel relation inference corpus obtained from a well known SNLI corpus and provide its brief characterization.We investigate several DNN siamese architectures for this task and this particular corresponding corpus.We set several baselines including hypothesis only baseline.Our best architecture achieved 96.92% accuracy.
The Effects of Physical Game Activities using Natural Objects on Young Children’s Emotional Intelligence and Peer Competence

본 연구의 목적은 자연물을 활용한 신체게임 활동이 유아의 감성지능과 또래 유능성에 미치는 영향을 살펴보는 것이다. 연구대상은 광주광역시의 E 어린이집 만 5세 두 학급 유아 30명(실험집단 15명, 비교집단 15명)으로, 실험집단은 자연물을 활용한 신체게임 활동에, 비교집단은 누리과정의 생활주제에 따른 신체 활동에 참여하였다. 본 연구는 자연물을 활용한 신체게임 활동 선정, 검사자 훈련, 예비연구, 사전검사, 교사교육, 실험 처치, 사후검사 등의 절차에 따라 이루어졌으며, 실험 처치는 2019년 8월 12일부터 10월 2일까지 8주 동안 총 16회 시행되었다. 연구결과, 자연물을 활용한 신체게임 활동에 참여한 실험집단 유아의 감성지능과 또래 유능성이 유의하게 향상한 것으로 나타났다. 감성지능의 4개 하위영역과 또래 유능성의 3개 하위영역 모두에서 실험집단 점수가 비교집단 점수보다 유의하게 향상하였다. 이는 자연물을 활용한 신체게임 활동이 유아의 감성지능과 또래 유능성에 미치는 긍정적 영향을 보여준다. 본 연구는 다양한 자연물을 활용한 여러 가지 신체게임 활동이 유아의 감성지능과 또래 유능성을 효과적으로 증진할 수 있음을 시사한다. 이처럼 자연물을 활용한 신체게임 활동이 유아의 감성지능과 또래 유능성 향상에 효과적임을 보여줌으로써 본 연구는 유아의 감성지능과 또래 유능성을 증진할 수 있는 신체게임 활동에 관한 정보를 제공한다.The purpose of this study was to investigate the effects of physical game activities using natural objects on young children’s emotional intelligence and peer competence. The participants for this study were consisted of thirty 5-year-old children who were going to E preschool in Gwangju metropolitan city. Half of them belonged to the experimental group and the other half to the comparative group. The experimental group participated in physical game activities using natural objects, and the comparative group in physical activities according to the life themes of Nuri Curriculum. This study was carried out according to the process of selecting physical game activities using natural objects, training tester, preliminary research, pretest, teacher education, experiment, and post test. The experiment was conducted a total of 16 times for 8 weeks from the 12th of August to the 2nd of October in 2019. The results of this study showed that the emotional intelligence and peer competence of the young children in the experimental group were improved meaningfully. The scores of four sub categories of emotional intelligence and three sub categories of peer competence of the experimental group were meaningfully higher than those of the comparative group. This result demonstrated that physical game activities using natural objects affected positively young children’s emotional intelligence and peer competence. This study indicated that diverse physical game activities using different natural objects could increase young children’s emotional intelligence and peer competence effectively. By showing that physical game activities using natural objects were effective for improving young children’s emotional intelligence and peer competence, this study provided information about physical game activities to improve young children’s emotional intelligence and peer competence.
The Effect of Brush Letter discovered in the “Living Calligraphy”, the General Course in the University

학습자중심교육은 최근 혁신교육의 가치를 인정받아 국내외적으로 주목을 받고 있다. 이는 그동안 주입식교육과 암기식교육의 폐단을 시정하고 학생들의 잠재능력을 신장시키기 위해 고안된 학습방법으로 교육선진국을 중심으로 점점 확장되고 있는 추세다. 서예교육은 아직까지 학습자중심교육의 개념이 낯설다. 이에 본 논문에서는 학습자중심교육으로 설계된 “생활서예”를 소개함으로서 이 교육이 지닌 가치와 의미를 밝혔다. 수업의 전체적인 의미에 대해서는 이미 두 편의 논문이 발표되었으므로 여기에서는 “생활서예” 프로그램중에서 학생들이 가장 큰 관심을 모았던 ‘붓 편지’ 프로그램을 고찰하면서 본 수업이 학생들의 인성교육과 ‘붓 편지의 효용성’적인 측면에서 어떠한 가치가 있는지에 대해 다양한 측면으로 분석했다.Learner-centered education is receiving attention at the inside and outside of the country by its recognized value of the innovative education. It is a leaning method to rectify the negative effect of cramming education and rote learning and increase the potential capability of the students and it is gradually expanding. Calligraphy education is unfamiliar to learner-centered education concept. So, the value and meaning of this education is discovered by introducing “Living calligraphy” designed as learner-centered education in this study. Two theses were already published for overall meaning of the class, so, consider about the ‘Brush letter’ program which was mostly engaged students’ attention among the “Living calligraphy” program and analyzed which value this class has in terms of personality education of the students in various aspects in this study.
A Proposal for integrated primary English instructional design based on the International Baccalaureate Primary Years’ Program framework

This study aimed at finding ways to integrate English using the International Baccalaureate Primary Years’ Program (IB PYP) framework, which focuses on fostering learners’ competencies to take responsibility for their learning as they explore local and global issues (IBO, 2017). Based on the PYP framework, the scope and sequence of the PYP language and the achievement standards of the primary English curriculum in Korea were analyzed and compared. Next, the lesson contents of the primary English textbooks were mapped to the ones displayed on the curriculum, and then organized and classified according to the 6 PYP transdisciplinary themes. An example of an integrated primary English instructional design was developed, which consists of the central idea, key concepts, achievement standards of related academic subjects, and learning skills. This study proposes for continuous research to develop integrated English instructions in the PYP framework and to implement it in the context of public schools for the sake of equity of educational opportunity.