Reviewerly/exHarmony huggingface dataset:
Evaluation of CNN-Based Human Pose Estimation for Body Segment Lengths Assessment

Human pose estimation (HPE) methods based on convolutional neural networks (CNN) have demonstrated significant progress and achieved state-of-the-art results on human pose datasets. In this study, we aimed to assess the performance of CNN-based HPE methods for measuring anthropometric data. A Vicon motion analysis system as the reference system and a stereo vision system recorded ten asymptomatic subjects standing in front of the stereo vision system in a static posture. Eight HPE methods estimated the 2D poses which were transformed to the 3D poses by using the stereo vision system. Percentage of correct keypoints, 3D error, and absolute error of the body segment lengths are the evaluation measures which were used to assess the results. Percentage of correct keypoints – the standard metric for 2D pose estimation – showed that the HPE methods could estimate the 2D body joints with a minimum accuracy of 99%. Meanwhile, the average 3D error and absolute error for the body segment lengths are 5 cm.
IMPLEMENTASI PENYUSUSNAN RENCANA ANGGARAN PENDAPATAN DAN BELANJA SEKOLAH

This research purposes to describe the implementation of preparing a school revenue and expenditure budget plan based on the right principles and procedures.A method used in this research is the descriptive with the qualitative approach.The techniques used are interview and documentation study.The result indicates that the implementation of preparing a school revenue and expenditure budget plan doesn't yet completely apply the good principles and procedures.There are still some aspects not implemented, such as no complier team structure and no notes.But those that have been implemented are the involvement of stakeholder, the distribution of authority, the priority scale program choice and the identification of program planning.
A Symptomatic Framework to Predict the Risk of Insider Threats

The constant changing of technologies have brought to critical infrastructure organisations numerous information security threats such as insider threat. Critical infrastructure organisations have difficulties to early detect and capture the possible vital signs of insider threats due sometimes to lack of effective methodologies or frameworks. It is from this viewpoint that, this paper proposes a symptomatic insider threat risk assessments framework known as Insider Threat Framework for Namibia Critical Infrastructure Organization (ITFNACIO), aimed to predict the probable signs of insider threat based on Symptomatic Analysis (SA), and develop a prototype as a proof of concept. A case study was successfully used to validate and implement the proposed framework; hence, qualitative methodology was employed throughout the whole research process where two (2) insider threats were captured. The proposed insider threat framework can be further developed in multiple cases and a more automated system able to trigger an early warning system of possible insider threat events.
CELL PHONES KEEP YOU IN CELL

The objective of the paper is to expose the effect of the overuse of mobile phones in the family and it also reveals how it affects the relationship among the family members. As the writer of this paper is from a typical Tamil culture in India where relationships are valued, this issue has been taken. At present, the overuse of mobile phones strangles the relationship within the family in our community and which reflects the degradation in the family and the society. It has been explained how the extended family is shattered and how it terrifically affects the young generation. The paper also explores how the family and the society are spoiled. It tends to create awareness in the young minds towards the proper use of mobile phones and to safeguard the values and virtues of our community in the family, a minor unit of society.
Fashion Outfit Composition Combining Sequential Learning and Deep Aesthetic Network

A proper outfit should consist of different categories of items that are visually compatible and share a similar style. Besides, personal aesthetic preference is also an important criterion when creating an overall outfit. Nevertheless, only few studies deal with aesthetic information in previous work on outfit composition. In this paper, we exploit both sequential learning and deep aesthetic network to train an end-to-end model for composing aesthetic outfits automatically. In detail, we firstly introduce a bidirectional long short-term memory (Bi-LSTM) model to discover the concept of compatibility among fashion items in an outfit. Then, an aesthetic-based model is proposed to parallel supervise the Bi-LSTM model so that the trained model can capture the aesthetic features from outfits. Meanwhile, we leverage visual-semantic descriptions to guarantee the uniqueness of each fashion item in an outfit. Moreover, to evaluate the effectiveness and practicability of the proposed model, we also design two representative tasks. One is evaluating the aesthetic scores of existing outfits. The other is composing aesthetic outfits conditioned on the given fashion item. Considering that aesthetic is highly correlated with personal preference, we additionally conduct the experiment that we can create proper outfits according to personal aesthetic preferences. Extensive experiments indicate that our method can generate aesthetic outfits that meet personal preferences and outperform the state-of-the-art.
Coarse-to-fine Kidney Segmentation Framework Incorporating with Abnormal Detection and Correction

In this work, we formulate this segmentation problem into two sub-task: 1) kidney segmentation 2) tumor segmentation.In the first task, three 2D CNN are used to separate the kidney(including tumor )region with background (two class segmentation).In the second task, one 3D CNN and one two channel 2D CNN are used to separate detect and refine tumor within a relative smaller image region.
Interpretivisme: Sebuah Perspekstif yang Digunakan dalam Pengembangan Ilmu Akuntansi

&lt;p&gt;&lt;em&gt;Interpretivism: a perspective that is used in the development of accounting&lt;strong&gt; &lt;/strong&gt;&lt;/em&gt;&lt;em&gt;T&lt;/em&gt;&lt;em&gt;his &lt;/em&gt;&lt;em&gt;research aims&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;to prove that the interpretive is a perspective can be used in the development of science&lt;/em&gt;&lt;em&gt; accounting&lt;/em&gt;&lt;em&gt;. Th&lt;/em&gt;&lt;em&gt;is&lt;/em&gt;&lt;em&gt; research&lt;/em&gt;&lt;em&gt; is&lt;/em&gt;&lt;em&gt; librar&lt;/em&gt;&lt;em&gt;ian&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;study which collect data &lt;/em&gt;&lt;em&gt;by using written materials. &lt;/em&gt;&lt;em&gt;The interpretive paradigm is one of the paradigms used to search for the truth of science or developing science through the meaning of reality that is around humans. On the basis of the results of that meaning, people can gain knowledge on the existing realities and develop knowledge based on that reality. Therefore, to seek the truth of science, especially the science of accounting or develop science can be examined using interpreatif paradigm&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
(DESAIN WEB DAN DATABASE) EXPERT SYSTEM VIRTUAL HOSPITAL DALAM DIAGNOSA AWAL PENYAKIT

Technology is increasingly developing along with the increasing needs of every individual in various businesses, education, psychology and of course in the field of health.With the development of existing technology so that everyone can get information and get the information needed, now many application programs are presented in helping human activities.One example in the health sector includes creating a virtual hospital expert system in early diagnosis of disease.Expert Hospital Virtual System Research aims at Early Diagnosis of Disease a person makes an initial diagnosis of disease through a web service by registering / registering in advance, then after logging in can choose the symptoms suffered, questions will be raisedquestions that will have to be answered which will ultimately be given a conclusion to illness.
Automatic Kidney and Tumor Segmentation with Attention-based V-Net

Deep learning, especially Convolutional Neural Networks (CNNs) have been implemented to resolve a variety of both computer vision and medical image analysis problems recently.Among a rather wide range of Segmentation CNNs, V-Net is a relatively popular one, which is also an extended version of U-Net which processes 2D images.In this work, we propose an innovative V-Net with a embeded attention module.Inspired by spatial neural attention for generating pseudo-annotations, we modify the Decoupled attention into 3D version and insert it into the V-Net.This CNN network is trained end-to-end on CT volumes, and able to learn to predict segmentation blocks for a certain case.The definition of "block" will be elaborated in Section 3. Finally, the blocks will be concatenated to create a complete segmentation for a single case.
Development of a Vehicle for Driving with Convolutional Neural Network

The aim of this paper is the design, simulation, construction and programming of the autonomous vehicle, capable of obstacle avoidance, object tracking also image and video processing.The vehicle will use a built-in camera for evaluating and navigating the terrain, a six-axis accelerometer and gyro for calculating angular velocities and accelerations, Arduino for interfacing with motors as well as with Raspberry Pi which is the main on-board computer.The design of the vehicle is performed in Autodesk Fusion 360.Most of the mechanical parts have been 3D printed.In order to control the chassis of the vehicle through the microcontrollers, the development of the PCB was required.On top of this, a camera has been added to the vehicle, in order to achieve obstacle avoidance and perform object tracking.The video processing required to achieve these goals is done by using OpenCV and Convolutional Neural Network.Among other objectives of this paper is the detection of traffic signs.The application of the Convolutional Neural Network algorithm after some of the examinations made has shown greater precision in recognizing STOP traffic sign of different positions and occlusion ratios, and finding the path for the fastest time.
Blockchain Technology - An Introduction

A Blockchain is basically a decentralized, distributed ledger of all the transactions or events which takes place only after involving multiple parties. It ensures high level of security as the transactions which takes place are entirely anonymous. Each transactions or digital events taking place in a Blockchain network is verified, only if it is agreed upon by the consensus of the majority party of the users participating in this process. Bitcoin has been the most popular cryptographic currency since it was invented and it is the best example that uses the Blockchain technology. Transactions between individuals have always been a part and parcel of human society for the division of labour made people interdependent. The medium of transaction has also been evolving along with the evolution of society and human consciousness from barter system to commodity money to fiat currency and now to digital currency or cryptocurrency. But as the evolution is a form of error correction, the problem of double spending in digital currency was solved by a distributed ledger system called Blockchain. This paper includes Introduction, Literature survey, architecture, application., future direction of blockchain, current use, advantages and challenges of blockchain Technology.I.
Support vector machine based on power of signal for solving high-energy physics problem

In this paper, a new method proposed combining support vector machine (SVM) based on power of signal for high-energy physics problem.In the first stage, the high-energy physics are analyzed by using Power of signal, which produce number of sensitive features.The aim of this stage reduce the number of features and improve the quality of them.In the second stage, SVM applied to classify the new features into two categories and presented remarkable results.
Software quality evaluation: a bibliometric analysis and future perspectives

The theme of “Software Quality Evaluation”, and its importance, concerns the standardization of the development processes, in order to guarantee a higher quality of the systems. In this scenario, this theme has gained importance in academic research, due to the emphasis that the theme has increasingly presented to organizations, since they understand that the main objective is to guarantee a final product that satisfies the expectations of the client. In order to verify the scientific scenario in recent years, this work aims to carry out a review of the literature on “Software Quality Evaluation”, based on a bibliometric analysis and review. For this, the method of bibliographic revision with four different phases proposed by Marasco (2008) was used. From the data extracted from the Scopus database, the results of the systematic review and bibliometric analysis were analyzed from the information on publications, citations and approaches of the papers that deal with this subject. As results, the present article showed the academic and practical importance of the studies on “Software Quality Evaluation”. In addition, it is possible to identify gaps in the scientific literature that can be filled by future work in the area, based on the studies developed by specialists.
INNOVATIVE PHRASEOLOGICAL DICTIONARIES AS A UNIVERSAL MEANS OF TRAINING, EDUCATION AND DEVELOPMENT OF PRIMARY SCHOOL PUPIL

The article reveals modern approaches in the field of educational phraseography.The purpose of this article is to illustrate the concept of innovative phraseography for primary school using the materials of author's educational dictionaries.These dictionaries are built in the form of interactive cultural and cognitive hypertext, which has a high educational, cultural and educational potential.The article presents author's phraseographical method of discursive hypertext design, shows the tactics of etymological paraphrase in the system of text-forming techniques of innovative lexicography.The historical and etymological description of the phraseological unit is constructed using intellectual and developing technologies and involves the active participation of the pupils in the reconstruction of the etymological version: they observe, prove, generalize linguistic and cultural material, do the exercises and assignments related to different areas of knowledge.Innovative dictionaries, developed according to d culture.
Exploring PechaKucha in EFL learners’ speaking fluency

The research aims at investigating to what extent PechaKucha optimizes English as a foreign language (EFL) learners’ speaking fluency and identifying the class climate when learners implement PechaKucha. The data of the study were derived through classroom observation, pre and post-tests, field note, and interview. Constant Comparative Method was used to analyze the qualitative data while the mean score of two raters was found out to obtain the quantitative data. The result from this research indicated that the exploration of PechaKucha optimized EFL learners' speaking fluency including improving the speed of learners' speech and words per minute; increasing articulation rate; strengthening phonation time ratio; reducing the frequency of silent pause; avoiding filler words; and decreasing disfluency in spontaneous speech. The enhancement of learners’ score showed from the mean score of pre-test was 65.8; post-test 1 was 73.4, and post-test 2 was 82.3. The use of PechaKucha also improved the class climate: EFL learners were involved actively to present course material and their responsibilities to work in pair increased. Considering the research findings, it is suggested that teachers and lecturers implement PechaKucha for assisting the learners to enhance their speaking fluency and creating the effective class climate.
Kidney and tumor segmentation using an ensemble of deep neural networks

For the segmentation of kidney and tumor task, we propose a two stages model that consists of several classification networks and segmentation models.The first stage is the foreground and background classification subnetwork, this stage is to recognize whether there are kidneys or tumors on images, so we propose a classification model called RD-Net which can effectively reduce the errors caused by a large of background images and improve the efficiency of the whole segmentation results.The second stage is the segmentation model used to predict the contour of the target (kidney or tumor).Therefore, we propose Att-ResUnet model and multi-scale ensemble of postprocessing methods used to integrate the predicted results of multiple models, so as to improve the accuracy of prediction results.
The Implementation of Compare-Diagnose-Operate (CDO) Strategy on Students Writing Skills in Narrative Text

The high school students also have matters that they have to face in writing a narrative text.The students need a strategy to handle the problems.This research aims to get the result of the implementation of Compare-Diagnose-Operate Strategy (CDO Strategy, hereafter) on students' writing skills in narrative text.The population was the tenth-grade students of MA Annajah Jakarta.The sample was 42 students that chosen by purposive sampling technique and was divided into the controlled class and the experimental class.The instruments were writing essay test which was given before the treatment and after the treatment.The treatment was the CDO Strategy.The data of the test were analyzed by using the normality test, the homogeneity test, and T-Test.The result of the test score from both classes showed that the controlled class was higher than the experimental class.However, the gained score of the experimental was higher than the controlled class (190 > 35).In addition, tobserve value was higher than t-table value (2.52 > 1.68) in the significant 5% (0.05).The Cohen's level of significance also displayed that the calculation of effect size is 2.7, which was higher than 1.00.Thus, the statement means that there is the effectiveness of using CDO Strategy on students' writing skills
USE OF SOCIAL NETWORKS IN PREPARATION OF FUTURE TEACHERS

The article considers the possibility of using social networks in the process of learning, identifies the advantages and disadvantages of their application in the educational process, analyzes the real state of student registration in social networks, the frequency of their communication with social networking means, determines the number of social networks in which students are registered, priority devices for work with social services, popularity of social networks among students of the Vinnitsa State Pedagogical University named after Mikhail Kotsyubinsky, and also, the proportion of students using social networking with the educational purpose whom teachers offered to use social networks to support the learning process and the proportion of students who are proposing to introduce social networks into the learning process has been established. The analysis of the obtained data makes it possible to determine the level of activity of students and teachers in the issue of the introduction of social networks and mobile devices in the process of knowledge acquisition and skills development by modern applicants of higher education, and also indicates the level of youth activity in the issue of reforming educational technologies, the introduction of modern methods of organizing the educational process and his support. The results of the study underline the active attitude of young people to the reform of higher education, but prove that the students themselves are not always willing to actively engage in educational initiatives, some of them prefer passive communication and photo viewing. Based on the data obtained from the questionnaire, it can be concluded that social networks are not used for educational purposes systematically. Students, for the most part, consider social networks as an opportunity to seek information, that is, as a peculiar search engine. Only one per cent of respondents consider social networks as an opportunity to create an educational community for communication with like-minded people.
Assessing The Technology Development Level In The Field Of Education

Information technologies, which are widely implemented in educational institutions, have a significant impact on all aspects of the educational process. They change the basis of teaching methodology, expand the educational space, increase the variety of forms of education, have a significant impact on childrens social engagement. In this regard, the challenge of outlining the education-related technology scope and proposing an appropriate development assessment method is of relevance. Despite the widespread introduction of information technology in the educational process, this issue has not yet been given due attention. This paper considers the development of a technology selection and assessment method based on the integral index generally determining the level of technology development in education. From the perspective of unbiased assessment, the procedures for selecting indicators and assigning weights thereto when calculating the integral index are decisive. When selecting, only those indicators are considered which characterize a limited scope of technology referred to as the most significant for the field in question, with the choice of weights reduced to the process of aligning the average values of indicators. The results of testing the method, as exemplified through assessing the technology development level of the basic education segment in the field of basic education, show the correlation of the technology development level with the region-based social and economic development level and the relationship with the volume of government spending on education, which justifies the application of the above-listed procedures and the method as a whole in assessing.
OPTIMIZATION OF THE LIBRARY FOR SCHOOL LITERACY MOVEMENT

&lt;p&gt;&lt;em&gt;The library in a school can be said to be the heart because it is a source of information for teachers and students.The library provides opportunities for students to expand and deepen their knowledge by reading various books.Thus, the library facilitates school residents to find information and knowledge needs and skills needed such as today, including literacy skills.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The fact that exists today is that the use of libraries is less organized, the arrangement of books is less neat, and the number of inadequate books is an obstacle in increasing students' interest in reading activities.This study focused on: (1) what is the school literacy movement ?; (2) how to optimize the library for school literacy movements? The results of this study include: (1) school literacy movement is an effort or participatory activity involving all school residents to increase students' interest in reading;(2) optimization of the library carried out by making library activity programs, implementing library programs, and giving rewards related to library programs.&lt;/em&gt;&lt;/p&gt;