Reviewerly/exHarmony huggingface dataset:
Quaternion Based On Cancelable Biometrics

The current paper presents a novel cancelable face recognition scheme based on quaternion mathematics. The main idea of the proposed model is to mask the nature of faces prior to use in the face recognition process. The objective of this process is to keep the privacy of users during the initiation biometric data and the biometric verification process in case of data base compromising wherein it is possible to change the saved biometric templates while the color face image is used to compose a quaternion. Subsequently, a mask image is used in another quaternion. Quaternion multiplication and thus quaternion inverse are applied to generate the cancelable templates. The performance analysis of the proposed approach reveals that low EER and large area under ROC curve which are the required high index templates
Sparse Identification for Non-linear Dynamics applied to hysteresis-controlled systems.

Hysteresis-controlled devices are widely used in industrial applications. Forexample, cooling devices usually contain a two-point controller, resulting in anonlinear hybrid system with two discrete states. Behavior models of dynamicsystems are essential for optimizing such industrial supply technology.However, conventional system identification approaches cannot handlehysteresis-controlled devices. Thus, a new identification method called SparseIdentification of Nonlinear Dynamics (SINDy) is extended to handle hybridsystems. In this new method (SINDyHybrid), tailored basis functions in form ofrelay hysterons are added to the library which is used by SINDy. Experimentswith a hysteresis controlled water basin show that this approach correctlyidentifies state transitions of hybrid systems and also succeeds in modelingthe dynamics of the discrete system states. A novel proximity hysteron gainsthe robustness of this method. The impacts of the sampling rate and the signalnoise ration of the measurement data are examined accordingly.
Multimodal Childhoods (pilot) Project: Emerging literacies and digital technologies for achievement in remote communities

This publication may be copied in whole or in part provided there is due acknowledgement of any material quoted from the publication. All information contained herein was correct at time of printing © Finders University, 2019.
Clustering based quantitative breast density assessment using 3D transmission ultrasound

Breast density is now recognized as one of the most important independent risk factors of breast cancer. Current means to assess breast density primarily utilize mammograms which represent a series of projection images, making it difficult to estimate the true volume of the fibroglandular tissue. We present 3D transmission ultrasound as a method to visualize and differentiate fibroglandular tissue within the breast and use an unsupervised learning-based method to quantitatively assess the respective breast density. The method includes initial separation of breast from the surrounding water bath followed by segmentation of the whole breast into fibroglandular tissue and fat using fuzzy C-mean (FCM) classification. We apply these methods to both tissue phantoms (in vitro) and clinical breast images (in vivo). In the case of tissue phantoms, the agreement between the theoretical (geometric density) and experimentally calculated values was better than 90%. For density calculation in a sample size of 50 cases, the results correlate well (Spearman r = 0.93, 95% CI: 0.88-0.96, p&lt;0.0001) with an FDA-cleared breast density assessment software, VolparaDensity. We also discuss the advantage of using FCMbased tissue classification over threshold-based tissue segmentation within the paradigm of iterative image inversion/reconstruction and show that the former method is less sensitive to variation in assessment of breast density as a function of iteration count and thus, less dependent on convergence criteria. These results imply that breast density as assessed by 3D transmission ultra-sound can be of significant clinical utility and play an important role in breast cancer risk assessment.
POTENTIAL AND PROSPECTS OF HALAL TOURISM IN IMPROVING REGIONAL ECONOMY (CASE STUDY: CILETUH GEOPARK, SUKABUMI-WEST JAVA)

Sharia tourism is an activity that is supported by various facilities and services provided by the community, business people, government, and regional governments that meet the Sharia requirements. Where in the research this article focuses on the problem formula: (1) how the prospect of halal tourism in improving the regional economy in Sukabumi.This research was conducted using descriptive methods and qualitative approaches, data collection techniques conducted were observation, interviews, literature studies and document studies. The validity of the data is done by using data triangulation techniques, namely by checking the data that has been obtained through several other data sources. The informants in this study consisted of the local community, PAPSI officials (Paguyuban Alam Pakidulan Sukabumi) as a local institution that had attention and focus on Ciletuh Geopark management activities, as well as informants from local government elements. The results of the study are: (1) the potential and prospects of this halal tourism carried out that there are several tourist areas that are run by the community or Community Based Tourism (CBT) which has 5 aspects. The five aspects that run in the Ciletuh Port of Batu Geopark Area include economic, social, cultural, religious, political. Participation of local communities in the development and development of the Sharia tourism village is essential to build independence and maintain the continuity of the Sharia tourism village activities. Therefore, the local community should not be seen as an object of the development of the Sharia tourism village as Raharjana (2012) stated that the community should play an active role as the subject of development activities, as well as for the development of the Sharia tourism village.
Study on the Tones Biases of Mandarin Speaker in Amdo Tibetan Areas Based on Statistics

Tone learning is a major difficulty when students in Amdo Tibetan area learn mandarin. This paper uses experimental phonetics, comparative analysis, and theory and methods of biases analysis to investigate and analyze the pronunciation of mandarin in the Amdo Tibetan area. The perception experiment and similarity experiment were used to analyze the tone of mandarin in the Amdo Tibetan area. The experimental results show that in the process of learning mandarin, the students in Amdo Tibetan area learn from the highest to the lowest in order of tone4, tonel, tone3 and tone2. The most prone to sound in the process of speaking mandarin is tone4, and the most common pronunciation in their biased pronunciation is tone4. The similarity detection has a higher diagnostic accuracy rate, and tone1 has the best effect. The tone2 and tone3 are easy to judge the correct pronunciation as the biased pronunciation, and tone4 is easy to judge the biases pronunciation as the correct pronunciation.
Single image depth estimation using multi-scale deep connections and batch data augmentation

Depth estimation is traditionally done using stereo images. Recently depth has been estimated from a single image using convolutional neural networks at different scales. This work builds on these developments with two enhancements. First we show that adding deep connections across the three scales in a multi-scale setup improves the depth estimate. Second, we show that augmenting each batch data with both original and horizontally flipped images and passing them through the same layers, helps to further improve the depth estimate. Experimental results on the NYUD dataset validate these enhancements.
INDOOR NAVIGATION USING AR TECHNOLOGY

Navigation systems have been widely used in outdoor environments, but indoor navigation systems are still in early development stages.The current available systems make use of GPS, Bluetooth, Wi-Fi, RFID and Sensor Chip technologies.The Bluetooth technology is cheap but has limited range and accuracy.For an effective location tracking and navigation using this technology, we need to setup Bluetooth hotspots across the building.The same is applicable for other technologies like Wi-Fi, RFID and Sensor chips.The implementation and maintenance cost is exorbitant for all these methods and a change in weather condition may affect the signal strength downing the hotspot if any one device fails.In all such existing systems, additional infrastructural facilities are inevitable for the perfect working of it.In this work, we put forward a low cost, simple, reliable and efficient method to accomplish the same goal by introducing an augmented reality-based indoor navigation application to assist people navigate in indoor environments.
Ensemble clustering for step data via binning

This paper considers the clustering problem of physical step count data recorded on wearable devices. Clustering step data give an insight into an individual's activity status and further provide the groundwork for health-related policies. However, classical methods, such as K-means clustering and hierarchical clustering, are not suitable for step count data that are typically high-dimensional and zero-inflated. This paper presents a new clustering method for step data based on a novel combination of ensemble clustering and binning. We first construct multiple sets of binned data by changing the size and starting position of the bin, and then merge the clustering results from the binned data using a voting method. The advantage of binning, as a critical component, is that it substantially reduces the dimension of the original data while preserving the essential characteristics of the data. As a result, combining clustering results from multiple binned data can provide an improved clustering result that reflects both local and global structures of the data. Simulation studies and real data analysis were carried out to evaluate the empirical performance of the proposed method and demonstrate its general utility.
Effects of Objective and Subjective Factors to Develop Intellectual Culture of Youth

The article defines the concept of intellectual culture, its forms, goals and objectives. The role of hereditary opportunities and social environments was analyzed in the personality of intellectual abilities and talent. In addition, the article focuses on the socio-philosophical problems of combining the factors, formation of elements, intellectual culture and its methodological, psychological and social factors with social development.
Exploration and Practice on Blended-Teaching Golden Course Featured “Dual Link, Triple Advancement, Quadruple Coordination”

Against the background of educational informationization, and based on the requirements for Golden Course, which should be advanced, innovative and challenging, this thesis takes the course “Teaching of Toy Making” for example to explore the major problems in teaching, and conduct an innovative and practical teaching reform of the course, in the hope to promote and expand our teaching work, optimize students’ learning styles, and improve our teaching quality. Specifically, the “dual link” refers to the link between online classroom and offline classroom; the “triple advancement”, which refers to the advancement of teaching contents, objectives, and forms, highlights the advanced quality of Golden Course; the “quadruple coordination”, which includes coordination of teaching contents, forms, difficulty and assessment, promotes students to realize a better, organic integration of their knowledge, competence and quality, and help to cultivate students’ comprehensive ability to deal with complicated problems as well as their advanced thinking.
Effects of Physical Activity Levels on Cardiopulmonary Fitness of College Students Using Accelerometers (Wearable Devices)

The purpose of this study was to examine the effect of physical activity on cardiopulmonary fitness (CRF) by analyzing the correlation between physical activity level, physical activity and CRF of male and female college students using 3-axis accelerometer (wearable device). CRF was evaluated in 30 males (22.9±1.5 years) and 30 females (22.4±1.6 years) at K University by maximal graded exercise test using the modified bruce protocol. The physical activity was measured using the accelerometer for 7 days, excluding sleep and bath, and the activity time and the number of steps. As a result of correlation analysis between VO₂max and physical characteristics, there was a significant correlation in body weight (r=.432) and body fat mass (r= -.482) (p＜.05). As a result of correlation analysis between VO₂max and physical activity, the number of walks (r=.381), low intensity ratio ( r=.280), medium intensity time (r=-.302), and medium intensity ratio(r= -.308) was significant (p＜.05). The conclusion is that the assessment of physical activity levels using wearable devices can provide a wealth of information about CRF. In everyday life, college students can increase their motivation for the importance of physical activity to change their active behavior. In order to improve the lifestyles of male and female college students, the daily energy demand should be increased.
Sistema de acompañamiento docente desde un entorno virtual de enseñanza-aprendizaje

At present, the virtualization of training processes is a requirement for the permanent training of university teaching staff. Each day the spaces for interaction and ways of learning impose the need to use interactive platforms that make it possible to provide the necessary help to teachers, as well as to share good practices. The present work approaches the didactic conception, and implementation of a system of teaching support for university professors supported in a virtual environment of teaching-learning (Moodle) based on a bl ended learning model (b-learning), in which the activities and resources  for the development of the research, the methods of document analysis, modeling and functional systemic structural method were used. The results of its implementation in practice make it possible to make decisions for the improvement and continuity of the teaching accompaniment, as well as for the solution of the didactic problems.
A Random Matrix Analysis and Optimization Framework to Large Dimensional Transfer Learning

This article proposes a first performance analysis and optimization of a simple transfer learning method, extending the standard least squares support vector machine. By means of a random matrix analysis, we prove that, for simultaneously large and numerous data, the correct classification rate of the learning task is asymptotically predictable and the hyperparameters in the problem are easily tuned so to maximize the output performance. Simulations confirm our findings. This preliminary work opens the path to a systematic exploration of transfer learning methods by means of large dimensional statistics.
Analysis of Scopus-Indexed Scientific Publication of Lecturers in Maluku at SINTA Portal

Research conducted by a lecturer should be published as a scientific communication in the scientific community. Ministry of Research, Technology, and Higher Education of Republic Indonesia has built a system that provides comprehensive and accessible information about Indonesian scientific publicati
Type of Response Selection utilizing User Utterance Word Sequence, LSTM and Multi-task Learning for Chat-like Spoken Dialog Systems

This paper describes a method of automatically selecting types of responses, such as back-channel responses, changing the topic or expanding the topic, in conversational spoken dialog systems by using an LSTM-RNN-based encoder-decoder framework and multi-task learning. In our dialog system architecture, response utterances are generated after the response type is explicitly determined in order to generate more appropriate and cooperative response than the conventional end-to-end approach which generate response utterances directly. As a response type selector, an encoder and two decoders share states of hidden layers and are trained with the interpolated loss function of the two decoders. One of the decoders is for selecting types of responses and the other is for estimating the word sequence of the response utterances. In an evaluation experiment using a corpus of dialogs between elderly people and an interviewer, our proposed method achieved better performance than the standard method using single-task learning, especially when the amount of training data was limited.
The Effects of Circuit Weight Training and Weight Training on Aerobic Capacity and Health-related Fitness in Obese Male College Students

The purpose of this study was to investigate the effects of circuit weight training and weight training on aerobic capacity and health-related fitness in obese male college students. In this study 16 obese male college students attending G-city University without medical history were selected as subjects. These subjects were randomly assigned to circuit weight training group (n=8) and weight training group (n=8). The subjects in circuit(three circuits using a work-to-rest ratio of 30s:30s) and weight training program performed for 8 weeks, 3 times a week on non-consecutive days at 40 and 80% of one-repetition maximum(1RM), respectively. The maximum oxygen uptake(VO₂max) and oxygen uptake(VO₂) at anaerobic threshold(AT) were measured as the aerobic capacity. Also, body composition, muscular strength, and muscular endurance were measured and analyzed as the health-related fitness. Based on the results of the study, the following results were obtained. First, the maximum oxygen uptake and oxygen uptake at anaerobic threshold were significantly increased (p<.01) in the circuit weight training group, but there was no significant difference in the weight training group. Second, there was a significant decrease (p<.01) in body weight in the circuit weight training group, and a significant decrease (p<.001) in body fat(%) in both groups. In contrast, lean body mass was increased in both groups, but there was no significant difference. Third, There was a significant difference (p<.001) in muscular strength and muscular endurance in both groups. Therefore, circuit weight training may also be an effective exercise method for increasing potential aerobic capacity and reducing body fat in changes in body composition.
Professional Training of a Foreign Language Teacher for Pre-School and Primary Education: Axiological Dimension

The article provides an analysis of many years of theoretical and practical research in the field of foreign language teachers’ professional training. Special attention is drawn to the importance of not only the foreign language teacher methodological training but also to his value orientations that are necessary in the professional sphere. The issue of the axiological component of education is covered up from the point of view of primary foreign language education goals which should be reflected not only in the foreign language acquisition process by preschool and primary school age children but also in the qualitative training of teachers who are able to form a child’s moral values, personal qualities and ability to communicate in a foreign language as a phenomenon of culture and as a knowledge tool of his surroundings.
FNAC OF BREAST LESIONS WITH REFERENCE TO INTERNATIONAL ACADEMY OF CYTOLOGY (IAC) REPORTING SYSTEM

10Feb 2020 FNAC OF BREAST LESIONS WITH REFERENCE TO INTERNATIONAL ACADEMY OF CYTOLOGY (IAC) REPORTING SYSTEM Anu Gupta , Bhavneet Kour and Subhash Bhardwaj Lecturer, Department of Pathology, Govt. Medical College, Jammu. Demonstrator, Department of Pathology, Govt. Medical College, Jammu. Professor & Head, Department of Pathology, Govt. Medical College, Jammu.
The Effect of ICT Content Delivery on Students’ Achievement in Physics in Public Secondary Schools in Kahuro Sub-County, Murang’a County, Kenya

Learning physics require learners to be able to handle scientific equipment and apparatus appropriately and with confidence. For this to happen, learners must continuously carry out a variety of experiments in order to develop manipulative observation and recording skills. Where apparatus are not adequate, the teacher could use ICTs tools for simulations to promote these skills. The main purpose of this study is to assess the effect of ICT content delivery on students’ achievement in Physics in public secondary schools in Kahuro Sub-County, Murang’a County, Kenya. The study will be guided by the Technological Pedagogical Content Knowledge (TPACK) Model. Mixed methodology research design was employed. The study 1036 physics students in Kahuro sub-county out of which 30% were sampled using stratified random sampling. Observation schedules were used as the main data collection instrument. The sign test performed between the control and experimental group indicates an improvement in content delivery as a result of ICT integration in physics. It can therefore be concluded that ICT integration in teaching physics improves content delivery.
Integration of Data Envelopment Analysis in Business Process Models: A Novel Approach to Measure Information Security

This article explores the question of how to measure information security.Organisational information security is difficult to evaluate in this complex area because it includes numerous factors.The human factor has been acknowledged as one of the most challenging factors to consider in the field of information security.This study models the application of data envelopment analysis to business processes in order to facilitate the evaluation of information security that includes human factors.In addition to the model, this study demonstrates that data envelopment analysis provides an efficiency measure to assess the information security level of a business process.The novel approach that is proposed in this paper is exemplified with the aid of three fictive processes.The Business Process Model and Notation has been used to map the processes because it facilitates the visualisation of human interactions in processes and the form of the processed information.The combination of data envelopment analysis with process modelling and analyses of process deficiencies and threats to information security enables the evaluation of information security to include human factors in the analyses.Moreover, it provides a measure to benchmark information security in organisational processes.
A Novel Illumination-Insensitive Feature Extraction Method

Image description is a great challenge in the field of computer vision under complex illumination condition. The complex illumination condition is usually unavoidable and unpredictable in real application. In this paper, we propose a novel generalized image descriptor, named as Anisotropy Weber Adapted Symmetric Ternary Pattern (AWASTP), which can overcome the directional inseparability of Weber Local Descriptor (WLD) and invariant threshold of Local Ternary Pattern (LTP). More particularly, we heighten the discriminative effectiveness of image description under complex illumination condition in several ways to restrain the effect of illumination variation. Firstly, a novel selection scheme for scale and angle is proposed. Based on this, an improved anisotropic Laplacian of Gaussian(ALOG) operator model is established by introducing the scale and angle parameter, moreover, an Anisotropic Weber Local Descriptor (AWLD) is presented, which can achieve more rich detailed information of illumination-insensitive feature. Secondly, an Adaptive Symmetric Ternary Pattern (ASTP) algorithm is proposed based on Weber criterion to generate more accurate threshold judgment according to the region characteristics. Thirdly, a two-dimensional AWASTP histogram is created to enhance the discriminative power and represent illumination-insensitive feature description. We conduct many experiments on benchmark databases, such as CMUPIE, FERET, PhoTex, RawFoot, and etc. Experimental results demonstrate the effectiveness of the proposed approach under different illumination conditions.