Reviewerly/exHarmony huggingface dataset:
Learning discriminative subregions and pattern orders for facial gender classification

Facial image-based gender classification has been widely used in many real-world applications. Most of the existing work, however, focuses on designing sophisticated or specific feature descriptors for the entire face, which neglects the discriminative information carried by facial components and pattern order combinations. To address the issue, in this paper, we first propose a generalized texture operator, i.e., the multi-spatial multi-order interlaced pattern (MMIP) matrix, to represent the gender information possessed by the facial subregions with textural pattern orders. A chain-type support vector machine (CSVM) based feature vector selection scheme, is then developed to highlight the gender characteristics. As a result, the discriminative subregions and pattern orders are constructed as the feature representation for facial gender classification. We evaluate our proposed method on four benchmark datasets (i.e., FRGC 2.0, FERET, LFW and UND) for gender classification and demonstrate its interpretability, effectiveness and efficiency compared with state-of-the-art methods.
Digital Signature and Organization of Decentralized Authentication in Business Environment

Modern electronic communication is fast and efficient. It has never been easier to change the document’s content. In this paper, we explain and show through practical work how it is possible to protect the data sent electronically in business communication by using decentralized authentication systems.
Expected Learning Outcomes: A Confirmatory Factor Analysis of Higher Education in Interior Architecture and Interior Design for the Thailand Development

Abstract Nowadays, the standard of professional education, interior architecture and interior design at higher education in Thailand must meet the certification criteria from the Professional Council. However, the expected learning outcomes results in the past studies has not studied the components of expected learning outcomes that are explicit and consistent with the 20-Year National Strategy. The researchers therefore aim to study such components to lead to the development of a standard measurement model to further expected learning outcomes. The researchers synthesized the initial components through the document to create and develop a questionnaire to evaluate the level of performance by estimating 5 levels and collect data with the senior students in the curriculum that has been approved by the Professional Council. Divided into 362 samples in the analysis of survey elements and 364 samples in Confirmatory Factor Analysis by Cluster Random Sampling from state and private universities. The survey component analysis resulted in 6 components along with confirmatory factor analysis of empirical component. The results of the sequence analysis of weight components from descending order as follows: Cognitive for profession skill (CP)=.96 Interpersonal relationship and responsibility skill (IR)=.89 In numerical communication and information technology skill(NC)=.87 Profession future of Thailand skill (PF)=.85 Knowledge for Professional practice skill (KPP)=.73 Moral and ethical skill (ME) =.67.
The Algorithm of Fully Fuzzy Cognitive Map Models

Precision in the real world is covered by imprecision and arithmetic operations serve as the foundations of computation. Since the introduction of Fuzzy Cognitive mapping, the dynamic model used to establish the fuzzy cognitive map, used conventional arithmetic operations on asymmetric fuzzy sets.Therefore, for a cognitive map, to be completely fuzzy, it should incorporate the use of fuzzy arithmetic and fuzzy numbers in describing the concept nodes and the cause-effect lines defining its structure. It then can be stated that the necessary and sufficient condition for a cognitive map to be fully fuzzy is that its dynamic activity or operation, be achieved only through fuzzy mathematics.This paper presents an introductory analysis into the peculiar design of the fully fuzzy structure of the cognitive map.
Cross-Media Body-Part Attention Network for Image-to-Video Person Re-Identification

Person re-identification (re-id) is a significant application in public security and attracts much more research interest due to its significant application in reality. Most person re-id models focus on image-based or video-based re-id problems. In fact, image-to-video person re-id has important significance in lost-human location, criminal-tracking, and pedestrian video retrieval. In image-to-video person re-id task, the key challenge of this issue is how to build an accurate connection between appearance image features and spatio-temporal video features due to the huge cross-media gap in different modalities. Although existing image-to-video person re-id models have achieved good effectiveness, there is still a large distance away from practical application. These methods only consider the similarity measurement of cross-media features, which are extracted from the original whole image/video without any importance. However, the main useful and discriminative information is always contained in human body parts (torso, elbow, wrist, knee, and ankle), while pedestrian image/video backgrounds retain lots of useless information. In this paper, we present a Cross-media Body-part Attention Network (CBAN) for image-to-video person re-id, which can extract the cross-media body part attention features from images/videos (by CNN/LSTM), and simultaneously ignore the useless information in the background by using a part attention mechanism. Besides, our network can alleviate the inherent cross-media gap by a novel media-pulling constraint term. The extensive experiments are conducted on three large scale datasets (Market1501, Mars and CUHK03) and two small datasets (PRID-2011, iLIDS-VID), and the results show our CBAN approach can solve the image-to-video person re-id problem effectively with a body-part attention mechanism.
Bitcoin Network Size Estimation Based on Coupon Collection Model

Bitcoin was originally proposed in 2009 and exists as a p2p digital currency that can be exchanged for currency in most countries and is uncontrollable. Moreover, the bitcoin network is unstable, so it is imperative to study the security of bitcoin, and estimating its network size is one of the basic and important links. Based on the coupon collector model, this paper uses active measurement to estimate the size of the Bitcoin network. Experiments show that the model can achieve an average coverage of 88%, so the model can be used to estimate the network size. At the end of the paper, the problems and improvement ideas of the model are put forward, and this is the direction and focus of future research.
Ethno-Cultural Competence Of Educational Psychologists

In the country the ethnic diversity leads to the need for specialists that have competence for cooperation with representatives of various national and cultural groups.It manifests itself in a set of objective ideas and knowledge about a particular ethnic culture.This competence is implemented through the development of all the skills, habits, and behavior patterns that contribute to effective interethnic understanding and interaction.Psychologists should be competent in interethnic interactions when working with clients.The study presents the analysis of scientific literature, review of the media, generalization of advanced pedagogical experience of the ethno-cultural competence formation of teachers and psychologists in the field of secondary and higher education.The article clarifies the basic notions of "competence" and "ethno-cultural competence".The required professional competences of a psychologist are analyzed.The methods of ethno-cultural competence formation of university students are allocated.In the course of the study the basic concepts of the topic were clarified, and the methods of students' ethno-cultural competence formation were singled out.Here the restriction of the study must be noted: students are trained in the field of "Psychological and Pedagogical Education".Ethno-cultural competence is characterized by the willingness and ability of a person to adhere to ethno-cultural traditions; by the possession of the ethnospecific skills of his/ her people; by the readiness to study various ethnical cultures in order to establish a comfortable existence in a multi-ethnic environment.The formation of ethno-cultural competence presupposes students' involvement in the dialogue between different nationalities and cultures.
Comment Spam Detection via Effective Features Combination

Comment spam is one of the great challenges faced by forum administrators. Detecting and blocking comment spam can relieve the load on servers, improve user experience and purify the network conditions. This paper focuses on the detection of comment spam. The behaviors of spammer and the content of spam were analyzed. According to analysis results, two types of effective features are extracted which can make a better description of spammer characteristics. Additionally, a gradient boosting tree algorithm was used to construct the comment spam detector based on the extracted features. Our proposed method is examined on a blog spam dataset which was published by previous research, and the result illustrates that our method performs better than the previous method on detection accuracy. Moreover, the CPU time is recorded to demonstrate that the time spent on both training and testing maintains a small value.
Conceptual framework for enhancing visual change point analysis in generalized multi-temporal displays

Abstract. Large amounts of point data are being generated and depicted in web maps, in particular promoted by the availability of Volunteered Geographic Information (VGI). This data volume causes usability problems for the visual presentation and exploration, especially by decreasing rendering performance and increasing geometric or semantic point clutter. Typically, generalization techniques are applied in order to overcome these clutter problems. Appropriate constraint-based approaches have been developed for static and single displays.Due to the increasing amount and relevance of multi-temporal point data, the aim of this contribution is to present a so far missing conceptual framework that consists of constraints related to change point analysis. These constraints describe the effects of the generalization on preservation and legibility of change information. Here, different types of change point analysis are differentiated, namely: existential changes, changes of semantic properties, and changes of spatial properties. For this purpose, difference frames between two given frames of the multi-temporal data set are used as a model of the mental representation of change information.The resulting constraints can be used to describe and to compare the suitability of various generalization operations for specific tasks. However, in a later stage they can also trigger the generalization processes as such. This could lead to a new way of thinking, since the optimization of generalization processes should work on difference frames rather than on single views.
THE USE OF TECHNOLOGY INTEGRATION SAMR MODEL IN TEACHING ENGLISH

Nowadays, information and communications technology (ICT) has been widely used either in schools or colleges. An understanding on the use of technology in language learning particularly in the class fascinated for both educators and learners. One of the language learning technologies is that SAMR, a model which is designed to help educators in embedding technology skills into the learning process in the classroom. In SAMR, 4 functions used to develop the applications, as in Substitution, Augmentation, Modification and Redefenition. This model helps educators provide an overview on the implementation of English language learning (i.e. reading, writing and listening). The simple SAMR model is certainly reminiscent of a model that was first in the realm of cognitive education. This model is parallel with the model of the taxonomy of bloom, a model that is very often used in cognitive learning. By applying SAMR Model, students can design learning technology effectively.
Campus Network Public Opinion Monitoring System Based on Reptile Technology

This paper conducts a lot of research on campus network public opinion analysis, and uses the hybrid crawling strategy commonly used in academic circles to focus on the key technologies of network public opinion analysis such as information preprocessing, Chinese word segmentation and topic recognition. Finally, the analytic hierarchy process and wavelet neural network are used to design the public opinion analysis system, and all the modules in the system are organically combined to develop an efficient and feasible network public opinion monitoring system, and the Sade event is taken as an example to express the public opinion. Analysis and trend prediction, the experimental results show that the system has good evaluation performance and estimation accuracy.
Improving Mobile News Reading Experience for Chinese Users: An User Interview and Eye Tracking Study

In recent years, mobile news apps, featuring personalized recommendation based on AI algorithm, have been widely popular among Chinese netizens. Study on the reading experience of news detail pages is the key to optimize the using experience of mobile news apps. Study I focused on critical factors that affect users’ reading experience in news detail pages, in which we invited 54 users to participate in the interview. The results show that the body text and headlines typesetting and information in the description section are the critical factors affecting users’ preference. The demands of users include a comfortable and clear body text typesetting, an eye-catching and bold headline typesetting, as well as abundant and authentic information in the description section. Based on Study I’s result, Study II, with the 4 (font size) × 5(line spacing) between-subject design, explored effects of body text typesetting on the reading experience of news detail pages, including reading fatigue, reading efficiency, along with subjective satisfaction, through eye tracking methodology together with users’ rating. Sixty participants were invited in the experiment to be grouped by font size. The TOBII X60 eye tracker was used to record the eye movements when participants were reading five articles with different line spacing. The results show that: (1) font size has a marginally significant effect on Saccade amplitude and Saccade amplitude in font 57px was significantly less than that in 51px; (2) line spacing has a significant effect on subjective overall satisfaction indicating that larger line spacing had higher overall satisfaction.
Supporting Weight Loss Through Digitally-Augmented Social Expression

In this paper, we present the design, prototyping and implementation of i-Ribbon—a wearable device designed to support weight loss through digitally-augmented social expression. Starting with an Obesity Awareness Ribbon, we introduced the exploration process and formation of the i-Ribbon concept. Prototypes of different fidelity were built during the design process, including a working system that could extract the user’s personal health-related data through a mobile application and sent it to a wearable expression device. Evaluation through interview has been conducted. Base on the reflection on design, prototyping and evaluation process, we summarize the insights and discuss the options for future work.
Penerapan Manajemen Partisipasi dalam Pelaksanaan Gernas Baku di RA Al-Azhar Bantur

The reading interest in Indonesia still relatively low, so it is necessary to make it habitual. This habituation can be do early that children can like to reading books. On May 5 2018, Ditjen PAUD dan Dikmas, Direktorat Pembinaan Pendidikan Keluarga, and Kementerian Pendidikan dan Kebudayaan organized Gerakan Nasional Orang Tua Membacakan Buku (Gernas Baku) for children. There are several methods that can be do for this movement, on of which is through the implementation of management participate. The purpose of this study is to describe the implementation of management parcipate in the application of Gernas Baku at RA Al-Azhar Bantur. This study use qualitative and type of case study research. The result of this study showed that in planning, parents took part in the ceremonies and socialization of Gernas Baku. In addition, parents also help in raising funds to buy children’s story books. In the implementation, parents participate in reading books for children, but monitoring and evaluation parents only give advice for school institution. The implementation of monitoring and evaluation is carried out by the institution and if there is particiption, it is discussed wit parents. This result indicate that parental involvement an important role in the implementation of Gernas Baku.
Quality Enhanced Multimedia Content Delivery for Mobile Cloud with Deep Reinforcement Learning

The importance of multimedia streaming using mobile devices has increased considerably. The dynamic adaptive streaming over HTTP is an efficient scheme for bitrate adaptation in which video is segmented and stored in different quality levels. The multimedia streaming with limited bandwidth and varying network environment for mobile users affects the user quality of experience. We have proposed an adaptive rate control using enhanced Double Deep Q-Learning approach to improve multimedia content delivery by switching quality level according to the network, device, and environment conditions. The proposed algorithm is thoroughly evaluated against state-of-the-art heuristic and learning-based algorithms. The performance metrics such as PSNR, SSIM, quality of experience, rebuffering frequency, and quality variations are evaluated. The results are obtained using real network traces which shows that the proposed algorithm outperforms the other schemes in all considered quality metrics. The proposed algorithm provides faster convergence to the optimal solution as compared to other algorithms considered in our work.
The Electric Network Frequency Based Method of Forensic Audio Analysis

The article describes new possibilities for technical authentication of audio recordings and determination of circumstances in which they were made in the context of Russian forensic practice. The proposed method is based on comparing the frequency of the electric current in the grid reflected in the submitted audio evidence with reference electric network frequency (ENF) indicators, which are recorded on a regular basis using a specialized hardware and software suite. This method is known as the Electric Network Frequency (ENF) Criterion (developed by Romanian expert Catalin Grigoras in 2005) and has been used by forensic practitioners around the world since 2009. The paper discusses the substance of the method, its possibilities and limitations, and demonstrates its practical value in helping to establish whether an audio recording was tampered with, as well as the date and time it was made. The article is intended for experts as a summary of the method, and for investigators to familiarize themselves with the new possibilities of scientific methodology.
Frontal Chest X-Ray Image Colorization Using Various Mathematical Experimental Equations

Chest x-ray medical images are widely used for diagnostic purposes for several reasons including it available, attainable and excellent imaging of hard tissues like bones, but there is difficulty in imaging of the soft tissues, moreover the saturated colour of the x-ray image causing intricacy to read it, therefore, turned attention to the colorization process which can be used to transform the grayscale medical images to the colour medical images. In this paper, a new pseudo-coloring method proposed for colorizing the frontal chest x-ray medical images which are very important for disease detection and recognition. The key idea of this method is applying different and various experimental mathematical equations on the proposed medical sample image, which it belongs to the patient with Hydatid cyst parasite disease in the lung. The counterfeit coloring had intense contribute in enhancing of the visual attractiveness of medical images, the output colored images have a better visual description, it has a possibility to describe hidden information better than a conventional monochromatic image, this is an excellent indicator of the algorithm's suitability for the purpose for which it was formulated.
The Advantages of Using Quipper School as a Media for English Teaching in Junior High School Student

ThisstudyaimedtoanswerhowmuchQuippergiveadvantagesasthemediaforteaching EnglishinJuniorHighSchoolandhowQuipperApplicationworkasthemediaforteaching EnglishinJuniorHighSchool.ThisresearchwasconductedatSMPN1Kaliwunguwhich waslocatedonJalanPangeranDjuminah51372KaliwunguSelatanKendal.Theresearch wasconductedonSeptember2017.Thisresearchuseddescriptivestudy.Theresearcherused descriptivemethodbecauseitdescribedresultofusingQuipperasmediaforEnglish TeachinginJuniorHighSchool.Theresearchdatainthisstudyconsistsofsomesources informationfromusingQuipperSchoolinSMPN1Kaliwungu.Thesampleofthisresearch was5studentsfromSMPN1Kaliwungu,theywereinsecondlevelofJuniorHighSchool and also weinterviewed1 English Teacher from SMPN 1 Kaliwungu.Theresult of this paper wastheadvantage ofusingQuipper SchoolinEnglishclassroom.Theyusedablendedonline course thatgatheredbothteachersandstudentsinaclassroomwithadditionalvirtuallearning viaQuipperSchool.Theconventionalface-to-faceteachinglearningwasalsoequippedby the useof theinternet to make itmore attractive and interesting
Probabilistic remote implementation of nonlocal Toffoli gate with pure entangled states against collective noise

Remote implementation of nonlocal quantum gates is one of the central tasks in quantum communication.Researchers devote much interest in remote implementation of nonlocal quantum gates via quantum entangled channel.Remote implementation protocols of two-qubit controlled-not gate, three-qubit Toffoli gate have been presented.We present two schemes for remote implementation of nonlocal Toffoli gate via partially entangled quantum channel against collective noise.The first is used to remote implementing of nonlocal Toffoli gate via partially entangled channel against collectivedephasing noise, and the second is used to remote implementing of nonlocal Toffoli gate against collective-rotation noise.The schemes are tolerant of collective-dephasing noise and collective-rotating noise.The agents can implement the Toffoli gate nonlocally with partially entangled quantum channel by introducing an auxiliary qubit and performing general evolution.The schemes are more convenient in application since they only requires partially entangled quantum states for nonlocal implementation of quantum operations.