Reviewerly/exHarmony huggingface dataset:
Spatial domain analysis based on human position and movement recognition for the top-view imaging systems

The smart home appliances are dramatically growing into a big part of the consumer electronics market and they are required to have many convenient functions for users. Therefore, many products are using top-view imaging systems for advanced technologies to recognize object positions and movement for human and machine interaction. Although the topview imaging system has already developed for many applications, not only home appliances but also closed-circuit televisions (CCTV) and unmanned aerial vehicles (UAV), it still has many drawbacks. Especially the top-view image shows asymmetrical features and radially distorted scenes around the corners like omnidirectional view images. Therefore, conventional human detection methods are struggled with the computational complexity and low accuracy to calibrate its artifacts. In this paper, we propose an efficient method to recognize spatial domain of human positions and movements based on motion vector detection using multiple feature maps on the top-view images. In the experimental results, we show efficient computation time and results of spatial domain detection qualitatively.
A new method of text information hiding based on open channel

Text is one of most constantly and widely used information carriers. Comparing with several other carriers, a new method of text information hiding based on open channel has been put forward in the article. The public normal text has been used to transmit information directly without any changes in order to hide it. At the same time, this hidden information negotiates with the intended recipient to produce the session key. The text including the location of hidden information and including the associated hidden rules delivers information through the session key. Besides, this method avoids stenographic testing used by attackers unless they break the session key, which ensures the hidden information's safety. The instruction protocol of hidden information serves as basic tool in proposed method. In the paper, the idea of the implicit authentication in the MTI protocol families (key agreement protocol constructed by Matsumoto, Takashima and Imai) derives from an identity-based protocol without pairing. Moreover, this proposed protocol is provably-secured in CK model (Canettikrawczyk model) for text information hiding.
Taoist Philosophy and Holistic Character Education

본 논문의 목적은 도가철학에 근거한 인성교육이 홀리스틱 인성교육으로 전개되어야 함을 밝히는 데 있다. 홀리스틱 교육의 철학적 토대를 제공하고 있는 영원의 철학과 홀리즘은 도가철학과 홀리스틱 교육이 공통된 세계관에 기반하고 있음을 드러낸다. 〈인성교육진흥법〉의 인성 개념은 습성으로서 인간다운 성품을 의미하고 있었다. 그러나 강한 인간중심주의, 원자론적 세계관 위에 정초된 인간다움, 상호의존적 사회의 특징을 간과한 독립적 사회의 자존감 수용 등에 대해서는 우리 사회의 문화 전통을 고려할 때, 인성교육과 관련하여 반성과 고려가 수반되어야 한다. 인성교육의 도달처인 공존(共存, co-existence)의 성취를 위한 단서를 공존감(共尊感, co-esteem)이라 규정하고 도가철학에서 그 단서를 찾아 드러내었다.The purpose of this article is to clarify that character education, based on Taoist philosophy, should be developed into holistic character education. The perennial philosophy that provides the philosophical foundations of holistic education and holism reveals that both Taoist philosophy and holistic education are based on a common worldview. The concept of human character according to 〈The Promotion of Character Education Law Act〉 denotes an acquired habit. However, when we consider the cultural traditions of our society, it is necessary to reflect and consider these ideas in relation to character education concerning strong human centrism, humanity established through an atomistic world view, and the acceptance of the self-esteem of an independent society in overlooking the features of an interdependent society. The key to achieving co-existence, which is the aim of character education, was defined as co-esteem, which was found in Taoist philosophy.
Exploring the Impact of Gaze Sharing on Collaboration During a Co-Construction Task

In this paper, we report on a user study with eyetracking technology that explores how mutual real-time gaze representations affect a dyad's collaboration behavior in a coconstruction task. Participants used a real-world collaborative web application to complete a partially given concept map. The results show that the analysis of the collaboration process can give insights both on measurements, such as the ratio of shared gaze during activity, but also on categorical classification of episodes of the process. For that end, we reflected and adapted existing frameworks from the CSCL literature to identify and assign collaboration styles and categories of behavior aligned to an extension of colleagues' rainbow framework.
The Effect of Learning Style on Creativity Confluence Competency for College Students

본 연구는 대학생의 학습스타일 유형에 따라 창의 융합역량에 차이가 있는지를 살펴보고자 실행되었다. 이를 위해 학습스타일 유형을 신체감각 선호도(시각적, 청각적, 조작적), 대인관계 선호도(외향적, 내향적), 가능성에 대한 대처 방식(직관적, 구상적), 과제접근 방식(종결적, 개방적), 사고전개 방식(포괄적, 분석적)에 따라 구분한 후, 창의 융합역량에 미치는 영향을 살펴보았다. 창의 융합역량은 창의적 능력, 창의적 성격, 창의적 리더십, 융합적 사고, 융합적 가치창출로 분류하여 살펴보았다. 대학생의 학습스타일 유형이 창의 융합역량에 미치는 영향을 살펴보기 위해 다변량분석(MANOVA)을 실시하였다. 연구결과, 청각적 신체감각, 외향적 대인관계, 직관적인 가능성 대처, 종결적인 과제해결 접근방식이 창의 융합역량에 보다 유리한 학습스타일로 나타났다.This study examined the influence of learning styles on college students creativity confluence competency. Learning styles were classified according to use of the physical senses for study or work(visual, auditory, manipulative), interacting with people(extrovert, introvert), solving problems(intuitive, concretesequential), approaching tasks (closure-oriented, openness-oriented), and dealing with ideas (global, analytical). Creativity confluence competency was divided into creative ability, creative personality, creative leadership, confluent thinking and confluent value creation. A multivariate analysis of variance(MANOVA) was applied. The results showed that auditory, extrovert, intuitive, and closure-oriented style had the most significant influences on creativity confluence competency.
ONLINE NATIONAL ID REGISTRATION AND RENEWAL

The importance of having a national ID cannot be ignored hence the need for an easy and quickest way to register and renew the ID upon expiration. A person’s proof of identity is a kind of reference which can be used to uniquely identify one individual from the other. Thus the system will help improve identity fraud and theft, for example ghost workers’ syndrome, impersonation etc. The system will request personal details of the applicant and the card holder (in case of renew) online, the details will then be submitted to National Registration Bureau (NRB) system for further processing of a new ID card. After completing the necessary process, the applicant will be notified through text message on the phone or email to go and collect the card to the nearest Malawi National Registration Bureau when it is ready. This system will reduce congestion in National Registration Bureau offices, minimize and cut costs for people travelling to National Registration Bureau offices. Government will cut costs for deploying people to various places for registration. This will boost up the economy of the country. The Online National ID Registration and Renew System can help expand coverage and prioritize populations that face the greatest barriers to access social and other public services, because everything will be in their hands. Thus this system will provide an economical, easy and quickest way possible.
Deep learning and video quality analysis

For more than 30 years, the video coding industry has been using mean-squared error-based PSNR as a measure of video quality, despite evidence of its inadequacy. Moreover, in the encoder, SAD is used instead of MSE to save multiplications. We quantify how these measures are inadequately correlated to subjective scores and obtain new measures that correlate much better. We focus on the problem of full-reference assessment of video degraded only by coding and scaling errors, such as experienced by streaming services, and put aside issues of transmission, such as timing jitters, rebufferings, etc. We begin with the Video Multi- Assessment Fusion (VMAF) algorithm introduced by Netflix. Results with up to 97% correlation accuracy to subjective scores are reported on two Netflix datasets, using a neural network model.
Cooperative People Tracking Using Multiple Ground Lidars Based on Distributed Interacting Multimodel Estimator

This paper presents a cooperative people tracking using two networked lidars allocated in an environment as sensor nodes. The tilt angles, heights, and relative poses of the two lidars are calibrated based on the lidar-scan data for accurate tracking. After the position data of people are extracted from the lidar-scan data using a background subtraction method, poses and behaviors of people, such as stopping, walking, and suddenly rushing out, are estimated based on a distributed interacting-multimodel (DIMM) estimator. The DIMM-based tracker works in any sensor network topologies, and therefore, this may provide a degree of scalability and robustness that cannot be achieved by conventional centralized interacting-multimodel (CIMM) based tracker with a central server. Experimental results reveal the tracking performance of the proposed DIMM-based tracker by comparison with the CIMM-based tracker.
A fast particle filter pedestrian tracking method based on colour, texture and corresponding space information

In order to track pedestrians accurately, a fast particle filter pedestrian tracking method based on colour, texture and corresponding space information is proposed. In this algorithm, firstly, we extract space information of object pedestrian and disintegrate it into three local regions. In addition, employ the improved texture and colour information extract algorithm to get the joint texture and colour information from the corresponding sub-region. Finally, determine the position of object by colour-texture similarity indicator based on space division, and get the result of accurately track. In consideration of the multi thread information fusion algorithm need a larger number of particles, this factor could reduce the computational efficiency. Therefore, a wave integral histogram algorithm is proposed for improving arithmetic speed. The experiment carried out on videos, result indicates the effectiveness and efficiency of the proposed method, which can achieve higher accuracy than other tow state of the art algorithms in the actual traffic scene, and the real-time performance also has been improved considerably.
Optimization of a milk processing application using a service oriented architecture

Herein we present a service-oriented architecture, composed from three layers, which optimizes a milk processing application. The main objectives of the research were: minimizing the runtime, automated implementation of the optimized processing plans, and flexibility in the architectural composition. To minimize the runtime, a Mixed-Integer Programming (MIP) model is defined, and then solved with a Constraint Satisfaction Problem (CSP) solver. We also present in detail the structure of the address space defined for the OPC UA server, the controlling and the monitoring of the production through a complex service, and the Sequential Function Charts (SFC) run by the PLC. Various experiments are described in the results section, which indicate that the processing workload is evenly distributed to the workstations, and that the global runtime is minimized. Finally, we note that the computational overhead of the service-oriented architecture represents less than 1% of the global runtime.
Tesla and the Future of Autonomous Driving

An investor, Janice Zhuk, examines Tesla's quarterly safety data that includes the number of miles it took to register one accident among Tesla cars driving with autopilot versus those without autopilot. The data set is small, so the validity of any statistical analysis may be compromised. The data allow one to run a simple t-test comparison of means. Because of the small sample size, the case invites a discussion on the hypothesis of the regression model, in particular, the normality of the residuals. Excerpt UVA-QA-0911 Rev. Jul. 24, 2019 Tesla and the Future of Autonomous Driving Janice Zhuk was an investor who for the past 20 years had success investing in new technology. Getting in on the ground floor meant being comfortable with uncertainty. Her newest interest—a fleet of shared robotaxis. As ideas around electric vehicles (EV) and autonomous vehicles (AV) moved into development, she closely followed just about everything in the works. With Toyota, Ford, and Tesla investing in EV and AV, Zhuk had much to follow, but Tesla was her favorite. How could Zhuk resist the emotion the firm's flamboyant CEO, Elon Musk, ignited around AV and his claim that by 2020, Tesla would have a million self-driving robotaxis on the road? And with a billowing $ 2.35billion stock and bond boost in early May 2019, it looked like Tesla had investors' attention. Musk himself announced he would buy $ 25 million more in shares (102,880), pushing the deal to $ 2.7 billion. Three days later, the capital raise was closed—it had been oversubscribed. Reacting with less emotion, Zhuk kept data on each step artificial intelligence made toward self-driving. She focused on autopilot and the question of safety—since Tesla was transparent around some data collection, she checked in. How was it going? . . .
Thinking and Reforms of Plant Biotechnology Course Teaching in Agricultural Professional Master Cultivation

To promote the professional skills and quality developments of the agricultural professional postgraduate students in the agronomy and seed industry specialty and the resources use and plant protection specialty, plant biotechnology were selected as a backbone course or selective course and the teaching reforms were performed in Hunan University of Humanities, Science and Technology.This paper introduced the characteristic personnel training mode in the university, analyzed the status of plant biotechnology in the course system, put forward the questions found during teaching of this course, and introduced the past years practice and reforms.As a result, a teaching group for this course was set up, the teaching mode was renewed, and the teaching contents were enriched to keep pace with times.Through eight years practice, the teaching effect of this course was evidently improved.The practice and experiences will be valuable for the other universities and scientific institutions.
Review on Various Face Artefact Detection Mechanism

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Modified RSA Cryptosystem in a cloud based environment

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Microlearning Is More Engaging, Cost‐Effective

The Membership Management ReportVolume 15, Issue 10 p. 5-5 Professional Development Opportunities Microlearning Is More Engaging, Cost-Effective Erin Sandage, Search for more papers by this author Erin Sandage, Search for more papers by this author First published: 08 September 2019 https://doi.org/10.1002/mmr.31315Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume15, Issue10October 2019Pages 5-5 RelatedInformation
GA-BW based HMM in Brain Image Segmentation

Image segmentation is an important preprocessing step in a sophisticated and complex image processing algorithm. In segmenting real-world images, the cost of misclassification could depend on the true class. For example, in a two-class (negative or positive class) problem, the cost of misclassifying positive to negative class could not be equal to that of misclassifying negative to positive class. However, existing algorithms do not take into account the unequal misclassification cost. Here, we introduce a procedure to minimize the misclassification cost with class-dependent cost. The procedure assumes the hidden Markov model (HMM) which has been popularly used for image segmentation in recent years. In this proposed method   Baum-Welch (B-W) Algorithm is used to calculate the HMM model parameters. However, the  B-W  algorithm  uses  an  initial  random  guess  of  the  parameters,  therefore, after  convergence the output tends  to be close to this  initial value of the  algorithm,  which  is  not necessarily  the  global  optimum  of the  model  parameters.  To achieve an optimum result   Genetic  Algorithm (GA)  combined with Baum-Welch  (GA-BW)  is  proposed   and the  idea  is to  use  GA  exploration  ability  to  obtain  the  optimal  parameters  within  the solution space. By using this proposed method, brain tumor region and non tumor region is segmented and classified within the state of art.
Extended Information Hiding Procedure in Cloud Computing Environment using Random Security Codes

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
KORELASI PENGALAMAN RESEPTIF BERLITERASI CERPEN DENGAN KETERAMPILAN MENULIS CERPEN SISWA KELAS VIII SMP NEGERI 6 KOTA SOLOK

ABSTRACT The purposes of this study were (1) to describe the persentage of students receptive experience in short story literation in second grade of SMP 6 Solok. (2) to describe students skill of writing short story in second grade of SMP 6 Solok. (3) to know the correlation of students receptive experience of short story literation and students skill of writing short story in second grade of SMP 6 Solok. The data of this study were the score of questionnaire about receptive experience of short story literation and students essay about students skill writing short story. The primary source of data were written test of students in second grade of SMP 6 Solok. Data were collected by (1) giving the questionnaire in form of five possible answers. (2) giving the essay test about short story. The findings of this study about the students receptive experience in short story literation and students writing skill of short story of second grade of SMP 6 Solok were in good classification (80,02%) and average (55,55%). Kata kunci: Pengalaman Reseptif, Keterampilan Menulis
Wavelet/shearlet hybridized neural networks for biomedical image restoration

Recently, new programming paradigms have emerged that combine parallelism and numerical computations with algorithmic differentiation. This approach allows for the hybridization of neural network techniques for inverse imaging problems with more traditional methods such as wavelet-based sparsity modelling techniques. The benefits are twofold: on the one hand traditional methods with well-known properties can be integrated in neural networks, either as separate layers or tightly integrated in the network, on the other hand, parameters in traditional methods can be trained end-to-end from datasets in a neural network fashion (e.g., using Adagrad or Adam optimizers). In this paper, we explore these hybrid neural networks in the context of shearlet-based regularization for the purpose of biomedical image restoration. Due to the reduced number of parameters, this approach seems a promising strategy especially when dealing with small training data sets.
A Descriptive Study on Character of Non-Formal Education Students

Character is very necessary for university students.However, many of the students show poor performance due to their character problems.The purpose of this research was to describe how character of non-formal education students while studying at University.There were 265 undergraduate students as research population.After determining sample randomly, out of 120 students who participated in this study, there are four main characters performed by non-formal students consist of: (1) lack of creative mind in learning and socializing with other friends; (2) plagiarism while conducting assignments; (3) Laziness to comprehending text book and journal; (4) undisciplined to study.Therefore, lecturers should more engage students to take a part seriously in the learning process in order to build students' character.Further study may consider investigating how to solve non-formal students' character.