Reviewerly/exHarmony huggingface dataset:
Kolaborasi dan Komunikasi dalam Kelestarian PembelajaranSepanjang Hayat

Lifelong learning is one of the factor needed to produce high quality of human capital.The purpose of this research is to identify the elements of collaboration and communication in implementation of lifelong learning between Community Colleges, Vocational Colleges and schools.Research objectives are to identify collaboration and communication elements needed in lifelong learning, to determine significant relationship between collaboration and communication.Survey research design was applied with set of questionnaires used as research instrument.Convenient sampling technique used to determine the numbers of respondents and 188 respondents involved in this research based on their role in implementation of lifelong learning programs.The results show high mean level for the elements of collaboration; consultancy, involvement, participation and partnership.The method of communication and communication frequent also in high mean level.There is medium significant relationship with collaboration and communication.As conclusion, the existing elements of collaboration and communication in lifelong learning programs between Community Colleges, Vocational Colleges and schools need various method to make sure the sustainability of programs and increasing the number of participants.Recommendations suggested in this research may help departments related to sustain lifelong learning.
WATERSHED MORPHOMETRIC CLASSIFICATION ANALYSIS USING GEOGRAPHIC INFORMATION SYSTEM

One of the important physical characteristics of watersheds is morphometry. Watershed shape is one the earth surface morphometric features. The watershed shape has a strong relation with the characteristic peak discharge and land erosion. Therefore, the watershed shape due to the strong relation between watershedshape and peak discharge and land erosion must be classified. Watershed shape can be classified based on morphometric analysis from the perspective of linear, areal, and relief aspects. In this paper the watershed located at Serayu-Bogowonto river basin was classified into four categories based on areal aspect. The areal aspects used to classify the watershed included Gravelius’s index, form factor, shape index, shape factor, circularity ratio, elongation ratio, and compactness coefficient. Four categories of watershed shapes (circular, oval, semi-oval, and elongated) were applied in this research. Seventeen watersheds at Serayu-Bogowonto river basin were selected as samples in the classification process. The Geographical Information System (GIS) technique was applied to generate watershed geometric properties such as, river length, watershed perimeter, area, diameter, and watershed length. Based on the analysis process, watersheds with broad and wide shape were difficult to classify. Such watersheds can be classified as circular, oval, semi-oval, and elongated. Finally, these watersheds can be classified under one category based on morphometric analysis results combined with the watershed figure. From the 17 watersheds, 5 were classified as circular, 3 as oval, 5 as semi-oval, and 4 aselongated shapes. GIS is a powerful tool for the analysis relating to watershed morphometric parameters.
Thyroid Status, Growth And Development Of Children Under 2 Years Of Age In Endemic Goiter Areas Of Srumbung Magelang

Objective. To examine the relationship of Iodine urine, TSH and free T4 levels with the growth and development of children under 2 years of age in endemic areas of IDD in Srumbung District, Magelang Subjects and methods. Respondents of this study were 43 respondents mother and herchild under 2 years of age who are still breastfeeding. The study was conducted in March until June 2013. The method used was observational and cross-sectional data retrieved. Mother urine iodine levels were measured in the laboratory GAKI Borobudur Magelang Indonesia. Levels of serum TSH and free T4 were measured by ELISA in the Clinical Laboratory AMC Yogyakarta with TSH ELISA reagents AIM and AIM fT4 ELISA TESTTEST (PT Intan Accurate Madya). Physical growth include weight, height, head circumference, and upper arm circumference. Weight measured in kilograms (kg), followed by calculation of BMI. Upper arm circumference were measured using standard Wolanski. Child development assessment performed using DDST-II (Denver Development Screening Test II). Data were analyzed with the Pearson correlation test for normal data and Spearman correlation for the data is not normal.Result. Ngargosoko Srumbung Magelang currently have adequate iodine intake with a median urinary iodine concentration of 296 ug / dL, mean blood levels of TSH and fT4 respectively is 1.7187 μIU / mL and 0.8545 ng / dL. But still obtained at 50.84% of respondents hypothyroidism.Conclutions. Free thyroxine blood levels determine body weight, body length and arm circumference, but did not determine the amount of head circumference, body mass index, the development of gross motor, fine motor, language and personal social. Child development needs to be measured with a measuring device better example with the BayleyScale of Infant Development (BSID).Key words. Thyroid status, growth and development, under 2 years old, IDD endemic
Towards Understanding Man-on-the-Side Attacks (MotS) in SCADA Networks

We describe a new class of packet injection attacks called Man-on-the-Side Attacks (MotS), previously only seen where state actors have compromised a number of telecommunication companies. MotS injection attacks have not been widely investigated in scientific literature, despite having been discussed by news outlets and security blogs. MotS came to attention after the Edward Snowden revelations, which described large scale pervasive monitoring of the Internet's infrastructure. For an advanced adversary attempting to interfere with IT connected systems, the next logical step is to adapt this class of attack to a smaller scale, such as enterprise or critical infrastructure networks. MotS is a weaker form of attack compared to a Man-in-the-Middle (MitM). A MotS attack allows an adversary to read and inject packets, but not modify packets sent by other hosts. This paper presents practical experiments where we have implemented and performed MotS attacks against two testbeds: 1) on HTTP connections, by redirecting a victim to a host controlled by an adversary; and 2) on an Industrial Control network, where we inject falsified command responses to the victim. In both cases, the victims accept the injected packets without generating a suspiciously large number of unusual packets on the network. We then perform an analysis of three leading Network IDS to determine whether the attacks are detected, and discuss mitigation methods.
PENERAPAN DATA MINING UNTUK ANALISIS MARKET BASKET DENGAN ALGORITMA FP-GROWTH PADA PD PASAR TOHAGA

Sales data in 3 different shops (shop, Shop Maker Fernando and Son) at Tohaga Market in the form of PD book transactions are only seen in the absence of follow-up to determine the decision on who will come. Party owner only records the transactions of products sold and only see income per month. But with that data should be utilized to strategize on sales to come. By using the method of Frequent Pattern Growth Algorithm, the store can take decisions which require goods inventory more compared to other goods, and the placement of the goods in accordance with the relationship between the goods that are usually purchased a consumer can also be determined based on a Minimum Support and Minimum Confidence. Based on Market Basket Analysis obtained from the calculation of the Association by using the method of Frequent Pattern Growth Algorithm, then search for the value of the support and confidence to use Association Rules, Rules that are generated will be test by using Software RapidMiner. Then the placement of goods and inventory items in 3 different stores can be controlled with either the service so that the consumer will be increased, which in turn can increase the sales turnover. In this study Support is determined using threshold 40% and 83% Confidence. Having regard to the relationship of support and confidence the store owner can provide and put the items to be sold
Intelligent Visual Tracking in Unstabilized Videos

Visual tracking requirement is increasing day by day due to the availability of high-performance digital cameras at low prices. Visual tracking becomes a complex problem when cameras suffer with unwanted and unintentional motion, resulting in motion-blurred unstabilized video. The problem in hand becomes more challenging when the target of interest is to be detected automatically in this unstabilized video. This paper presents a comprehensive single intelligent solution for these problems. The proposed algorithm auto-detects the camera motion, filters out the unintentional motion while stabilizing the video keeping intentional motion only using speeded-up robust features (SURF) technique. Motion smear due to unstabilization is also removed, providing sharp stabilized video output with video quality enhancement of up to 20dB. Gabor filter is used innovatively for auto-detection of target of interest in each stabilized frame. Then the target is tracked using SURF method.
Overview of Azure Platform as a Service

In this chapter, we provide a high-level view of the major services that are globally available, as well as elements of the Microsoft Azure platform as a service (PaaS). First, we discuss Azure Web Apps, support for developer frameworks, and apps that can run in containers. Next, you gain insight into database services and individual options for support. Then, we dive into Azure DNS as a powerful global service to support name resolution by customizing business service access. A companion service is Azure Traffic Manager, which supports DNS routing client requests based on profiles needed for business criteria.
Teaching Corporation of St. Petersburg University and the bureaucracy of the 19th 20th centuries.

Relevance . The place of St. Petersburg University of the imperial period in Russian history was not determined solely by scientific, educational and enlightening functions. From the material of many studies, one can see that the University played an important role both as a center of the struggle for the autonomy of higher education and as a place of attraction for revolutionary students. However, one of the unobvious aspects of the University’s activity was left without proper research attention, namely, its participation in the preparation of the bureaucracy. Method or methodology. In order to partially fill the existing void, we applied the method of statistical analysis and prosopography to show how the basic characteristics of the bureaucracy had being changed. We also used the probability sampling method to study the part of the faculty’s staff that entered the civil service (ministries and the State Council). Results . Due to this approach, we managed to educe the fact, that the quantitative and qualitative growth of Russian bureaucracy directly affected the structure of higher education, influencing both student and professorial corporations. This process led to an increase in the number of teachers and students, determined the specifics of teaching (the rapid development of the law faculty), and the level of academic requirements for teachers. Moreover, the University not only raised future bureaucrats, but also the University’s professors and privat-docents themselves actively participated in the work of higher public authorities. Conclusions . Selectively examining the biographies of the teachers-bureaucrats, we came to the conclusion that most of them did not have to choose between public service and science and were able to combine both crafts.
Speckle Noise Removal by Energy Models with New Regularization Setting

In this paper, we introduce two novel total variation models to deal with speckle noise in ultrasound image in order to retain the fine details more effectively and to improve the speed of energy diffusion during the process. Firstly, two new convex functions are introduced as regularization term in the adaptive total variation model, and then, the diffusion performances of Hypersurface Total Variation (HYPTV) model and Logarithmic Total Variation (LOGTV) model are analyzed mathematically through the physical characteristics of local coordinates. We have shown that the larger positive parameter in the model is set, the greater energy diffusion speed appears to be, but it will cause the image to be too smooth that required adequate attention. Numerical experimental results show that our proposed LOGTV model for speckle noise removal is superior to traditional models, not only in visual effect but also in quantitative measures.
Motivation as a Factor of Professional Competence Development in Students

Nowadays the issue of developing competencies of students is extremely relevant.The article is devoted to the development of professional competencies in bachelors of a technical university, studying the discipline "Hydraulics and oil and gas hydromechanics" and "Oil and gas business".The article analyzes the influence of students 'motivation on the quality of knowledge and development of competencies.It also substantiates the need to increase the level of students' motivation for learning activities.The author gives recommendations how to improve the level of motivation.One of the effective ways is to use a point-rating system.The article describes the point-rating system that is used in the educational process of the Octyabrsky branch of Ufa State Petroleum Technical University, which helps to improve the level of motivation of students to learning activities.The article describes the development of the motivational criterion taking into account three levels: low, medium and high.The content of all three given levels of development of the motivational criterion is described.The article analyzes the results of the survey according to the methods developed by T.D. Dubovitskaya and T.I.Ilyina to identify the level of motivation in full-time and part-time students.An experimental study aimed at increasing the level of motivation in full-time students conducted in the control group of students is described.The results obtained in the control and experimental groups are compared, and conclusions are drawn.
Word Mapping in Students’ Vocabulary Mastery

This research was aimed to find out the effect of word mapping strategy in students’ vocabulary mastery. The research was experimental research. The population was the second-grade students of SMP Islam Al-Azhar NW Kayangan which consisted of two classes (60 students). This research used total sampling technique to select the samples VIII.1 class (30 students) as the experimental group and VIII.2 class (30 students) as the control group. This research applied word mapping strategy at experimental group and word wall strategy at control group as treatment. In treatment process, the researchers found that the students were interested when the teacher applied word mapping strategy. The teacher was not only focused on the material but also guided the students to be more interactive in teaching and learning process. To analyze the data, the researchers used descriptive and inferential statistics. The result of data analysis showed that t-test 7.171 with t-table 1.672at the level of significance 0.50, it was shown that t-test was higher than t-table. On the other words, the hypothesis was accepted.
ENERGY SAVING VM MIGRATION TECHNIQUES

With the advent of communication and virtualization, technologies have been converted into the informationcenters, which are established and operated using new equipments for the optimum use and regulation of the materials ofdata centers. Particularly, the Virtual Machine (VM) migration is the robust service management method that provides thecapability to the data centre users to adapt the storage of the VM for better service performance and to enhance the resourceusage. This also helps to cut down the energy exhaustion and ease the network management activities among data centersworldwide. Instead of the potential applications, VM migration comprises of different novel approaches build upon theunderlying communication structure like internet addressing and traffic rate, which provides variability to migration. Thispaper presents the study of the latest migration techniques of VMs with the consideration of energy usage and associatedparameters in data centers. After the comprehensive review of the recent literature, a detailed taxonomy is presented for theclassification of the VM migration methods. In addition, a detailed description of open research challenges of the VMmigration techniques has also been given. Moreover, the live and non live migration has also been examined that includesthe pre-copy, post copy and hybrid migration methods.
AN ANALYSIS ON STUDENTS’ DIFFICULTIES IN LEARNING ENGLISH AT UNIVERSITAS PAHLAWAN TUANKU TAMBUSAI IN 2017/2018

This research is aimed at figuring out the students’ difficulties in learning English. Besides, it is also expected that the learning process become more meaningful. Subjects of the research are the enrolled odd semester students in academic year 2017/2018. The data collection method employed documentation, test, observation, and interview. Documentation was used to get the students’ data as the subject of the research, the test was used to get the data on the students’ achievement in learning English, the observation was used to get the objective condition in English learning processes and to expose the factors contribute to the learning process. The interview was used to explore the students’ difficulties in learning English. The students’ difficulties in learning English focused on the ability to speak and to listen. Mastering listening is the most difficult skills to be acquired by the students, it was found that the students’ average score is 58.33 or 84% students cannot answer the question properly. The second problem is mastering speaking skills, it was found that the students’ average score is 61.25 or 50% students cannot answer the question properly. The factors contribute to the students’ difficulties were: (1) the less of English practice;(2) the students were not actively participate in the learning process; (3) the students were passive;(4) The students did not take a note on the students’ explanation; (5) the students were not active in responding the teachers’ question and shares the opinion.
Machine Learning for Activity Recognition of Dumpers

The construction industry has lagged behind other industries in productivity growth rate. Earth-moving sites, and other practices where dumpers are used, are no exceptions. Such projects lack conve ...
Efficient and Privacy-Preserving Outsourcing of 2D-DCT and 2D-IDCT

As a subset of discrete Fourier transform (DFT), discrete cosine transform (DCT), especially two-dimensional discrete cosine transform (2D-DCT), is an important mathematical tool for digital signal processing. However, the computational complexity of 2D-DCT is quite high, which makes it impossible to meet the requirements in some signal processing fields with large signal sizes. In addition, to optimize the 2D-DCT algorithm itself, seeking help from a cloud platform is considered to be an excellent alternative to dramatically speeding up 2D-DCT operations. Still, there are three key challenges in cloud computing outsourcing that need to be addressed, including protecting the privacy of input and output data, ensuring the correctness of the returned results, and ensuring adequate local cost savings. In this paper, we explore the design of a practical outsourcing protocol for 2D-DCT and 2D-IDCT, which well solves the above three challenges. Both theoretical analysis and simulation experiment results not only confirm the feasibility of the proposed protocol but also show its outstanding performance in efficiency.
Protecting Machine Learning Integrity in Distributed Big Data Networking

A distributed big data network is the integration of big data and the underlying distributed network. This emerging paradigm brings the potential to divide big data processing tasks into smaller ones so that they can be intelligently processed in parallel with machine learning based on distributed network resources. Such a pattern requires strict system integrity, especially machine learning integrity against data tampering or network control by malicious nodes. In this article, we propose a secure architecture consisting of one HaSi scheme and two data tampering detection schemes for protecting the machine learning integrity in distributed big data networking. Illustrative results demonstrate the effect of our proposed schemes, and show that they can ensure the learning accuracy even when 30-40 percent of processing nodes are maliciously controlled. When the figure raises to 40-50 percent, the accuracy of our proposed schemes begins to fall visibly, but still outperforms the scenario without protection by up to 70-80 percent.
Agency Mindset Theory

A culturally based socio-cognitive agency generic model is developed. The agency has a normative personality with an values/beliefs indicated by its formative traits. These can take bi-polar epistemic values (“enantiomers”). These may be combined together, giving 8 different cognitive types that are personality type mind-sets. These types are influenced by the culture and the social environment that the agency is bound to. The traits can be used to explain the what, why and how of dynamic agency behaviour in complex situations.
SIMULATION TECHNIQUES IN TEACHING AND LEARNING IN KINDERGARTEN: A PRELIMINARY STUDY

Teachers are the source of the dissemination of knowledge to students. The knowledge gained is the result of meaningful learning as well as the application of approaches to the Teaching and Learning Process in the classroom. In kindergarten, a teacher should be responsible for educating the best possible students, as well as mastering the various teaching methods and techniques in managing the teaching. Therefore, this study aims to explore the use of simulation techniques in classroom teaching and learning, and three main themes have been highlighted: (a) teacher knowledge, (b) simulation used in teaching and facilitating, (c) and challenge. To achieve this goal, the study was conducted using qualitative research using survey design and data collected using the interview method among 2 private teachers and 2 KEMAS teachers. The results of this study show that the main contributors to the use of simulation techniques depend on these 3 themes. These findings are expected to enhance the professional attitude and pedagogy of early childhood education and thus enhance the child's developmental aspect.
An Interpretable Visual Attention Plug-in for Convolutions

Raw images, which may contain many noisy background pixels, are typically used in convolutional neural network (CNN) training. This paper proposes a novel variance loss function based on a ground truth mask of the target object to enhance the visual attention of a CNN. The loss function regularizes the training process so that the feature maps in the later convolutional layer are focused more on target object areas and less on the background. Attention loss is computed directly from the feature maps, so no new parameters are added to the backbone network; therefore, no extra computational cost is added to the testing phase. The proposed attention model can be a plug-in for any pre-trained network architecture and can be used in conjunction with other attention models. Experimental results demonstrate that the proposed variance loss function improves classification accuracy by 2.22% over the baseline on the Stanford Dogs dataset, which is significantly higher than the improvements achieved by SENet (0.3%) and CBAM (1.14%). Our method also improves object detection accuracy by 2.5 mAP on the Pascal-VOC2007 dataset and store sign detection by 2.66 mAP over respective baseline models. Furthermore, the proposed loss function enhances the visualization and interpretability of a CNN.