Reviewerly/exHarmony huggingface dataset:
LSH-based private data protection for service quality with big range in distributed educational service recommendations

Service recommendation has become a promising way to extract useful or valuable information from big educational data collected by various sensors and distributed in different platforms. How to protect the private user data in each cluster during recommendation processes is an interesting but challenging problem in the educational domain. A locality-sensitive hashing (LSH) technique has recently been employed to achieve the abovementioned privacy-preservation goal. However, traditional LSH-based recommendation approaches often suffer from low accuracy when the service quality data recruited in recommendations vary in a big range. Considering this drawback, we modify the traditional LSH technique in this paper to make it applicable to the service quality data with a big range, so as to pursue privacy-preserving and an accurate recommended list. Finally, a wide range of experiments are conducted based on the distributed dataset, i.e., WS-DREAM. Experiment results show that our approach can protect the private data in education (e.g., student information in universities) and performs better than other state-of-the-art ones in terms of accuracy and efficiency.
TCP FIN Flood Attack Pattern Recognition on Internet of Things with Rule Based Signature Analysis

&lt;p class="0abstract"&gt;Focus of this research is TCP FIN flood attack pattern recognition in Internet of Things (IoT) network using rule based signature analysis method. Dataset is taken based on three scenario normal, attack and normal-attack. The process of identification and recognition of TCP FIN flood attack pattern is done based on observation and analysis of packet attribute from raw data (pcap) using a feature extraction and feature selection method. Further testing was conducted using snort as an IDS. The results of the confusion matrix detection rate evaluation against the snort as IDS show the average percentage of the precision level.&lt;/p&gt;
Optimum partition in flight route anomaly detection

Anomaly detection of flight route can be analyzed with the availability of flight data set. Automatic Dependent Surveillance (ADS-B) is the data set used. The parameters used are timestamp, latitude, longitude, and speed. The purpose of the research is to determine the optimum area for anomaly detection through real time approach. The methods used are: a) clustering and cluster validity analysis; and b) False Identification Rate (FIR). The results archieved are four steps, i.e: a) Build segments based on waypoints; b) Partition area based on 3-Dimension features P&lt;sub&gt;1&lt;/sub&gt; and P&lt;sub&gt;2&lt;/sub&gt;; c) grouping; and d) Measurement of cluster validity. The optimum partition is generated by calculating the minimum percentage of FIR. The results achieved are: i) there are five partitions, i.e: (n/2, n/3, n/4, n/5) and ii) optimal partition of each 3D, that is: for P&lt;sub&gt;1&lt;/sub&gt; was five partitions and the P&lt;sub&gt;2&lt;/sub&gt; feature was four partitions
Progressive Web App (PWA) - One Stop Solution for All Application Development Across All Platforms

Previously specific features were found in native apps or natively developed apps. There were several various and distinct platforms for development of those features. This was known as cross platform approach; today we have a new approach which is known as progressive web application which can be implemented through a set of latest technologies. This application can then be used on all or almost all platforms. In this research paper we suggest that progressive web applications will suffice the need for native applications. First, we introduce the topic then we will scrutinize the performance and compare the recent specifications provided by each of the technologies for web application development across platforms.
Analisis Pemanfaatan Koleksi Jurnal Internasional Tercetak: Tinjauan Kebijakan Pengembangan Koleksi Jurnal Online di PDII-LIPI

Tujuan dari penelitian ini adalah: (1) mengetahui pemanfaatan jurnal internasional tercetak yang dilanggan oleh PDII-LIPI pada tahun 1991-1998; (2) mengetahui ketersediaan artikel sebelumnya (back issue) di jurnal cetak internasional di database online; (3) menjelaskan strategi dalam mengembangkan koleksi jurnal dengan berlangganan basis data jurnal. Metode penelitian ini menggunakan data kualitatif dengan pendekatan evaluatif, yang bersumber dari studi literatur dan pengambilan informasi jurnal dalam database online. Sampel data penelitian terdiri dari 21 jurnal dari 1601 jurnal yang dilanggan oleh PDII-LIPI pada 1991-1998. Hasil studi menunjukkan bahwa: (1) tren pemanfaatan jurnal cetak internasional dari setiap tahun telah menurun secara signifikan (data terbaru pada 2012); dari 2013 hingga sekarang, layanan jurnal ini tidak diaktifkan lagi karena itu bukan layanan prioritas di perpustakaan PDII-LIPI; (2) sebagian besar artikel sebelumnya di jurnal cetak internasional memiliki artikel lengkap dalam database online, seperti ScienceDirect, SpringerLink, JStor, ProQuest, basis data jurnal dilanggan oleh Kemenristek-Dikti dan Perpustakaan Nasional Indonesia, dan database jurnal akses terbuka; (3) PDII-LIPI perlu menetapkan kebijakan manajemen koleksi terutama jurnal online melalui konsorsium.ABSTRACTThe purposes of this study are: (1) find out the utilization of printed international journals subscribed by PDII-LIPI in 1991-1998; (2) know the availability of previous articles (back issue) in the international printed journals in the online databases; (3) explain the strategies of developing journal collections by subscribing of the journal databases. The method of this study used the qualitative data with evaluatif approach that sourced from the literature study and the journal information retrieval in online databases. The samples of the research data consist of 21 journals from 1601 journals that were subscribed by PDII-LIPI in 1991-1998. The study results indicated that: (1) the utilization trend of the international printed journal from each year has decreased significantly (the latest data in 2012); from 2013 until now, this journal service had not activated again because it was not a priority service in the PDII-LIPI library; (2) most of the previous articles in the international printed journals have full articles in online databases, such as ScienceDirect, SpringerLink, JStor, ProQuest, journal databases were subscribed by Kemenristek-Dikti and National Library of Indonesia, and open access journal databases; (3) PDII-LIPI needs to set the policies of collection management especially on online journals through consortium.
Efficiently Mining Maximal Diverse Frequent Itemsets

Given a database of transactions, where each transaction is a set of items, maximal frequent itemset mining aims to find all itemsets that are frequent, meaning that they consist of items that co-occur in transactions more often than a given threshold, and that are maximal, meaning that they are not contained in other frequent itemsets. Such itemsets are the most interesting ones in a meaningful sense. We study the problem of efficiently finding such itemsets with the added constraint that only the top-k most diverse ones should be returned. An itemset is diverse if its items belong to many different categories according to a given hierarchy of item categories. We propose a solution that relies on a purposefully designed index structure called the FP*-tree and an accompanying bound-based algorithm. An extensive experimental study offers insight into the performance of the solution, indicating that it is capable of outperforming an existing method by orders of magnitude and of scaling to large databases of transactions.
Decision support system to choose private higher education based on marketing mix model criteria in Indonesia

The growth of the number of universities in Indonesia in the last few years has experienced very rapid progress. Kemenristekdikti data for 2017 is 3,276 universities (3,154 PTS and 122 PTN) in Indonesia with 555 university details (17.6%), 78 institutes (2.5%), 1,431 Sekolah Tinggi (45.4%), 1,022 Academy (32.4 %) and Polytechnic 190 (6.0%). A large number of private universities (PTS) in Indonesia is very influential for prospective students in taking the decision to choose a college to continue their studies. Decision Support Systems are popular tools that help decision making within an organization [1]. Criteria Decision Making (MCDM), namely AHP (Analytic Hierarchy Process). AHP is quite effective in simplifying and speeding up the decision making the process by solving the problem into its parts [2]. Multi-Criteria Decision Making (MCDM) and Analytic Hierarchy Process can be applied in various fields. According to [3], marketing mix (Place, Product, Promotion, Price, People, Process and Physical Evidence) simultaneously influences the decision to elect private universities in Indonesia. Based on data processing and analysis that has been carried out in the previous section, it can be concluded that the chosen college is college a based on the criteria of place, price, product, people, promotion, process and physical evidence with a value of 0.379.
An ASP-Based Framework for the Manipulation of Articulated Objects Using Dual-Arm Robots

The manipulation of articulated objects is of primary importance in robotics, and is one of the most complex robotics tasks. Traditionally, this problem has been tackled by developing ad-hoc approaches, that lack of flexibility and portability. In this paper we present a framework based on Answer Set Programming (ASP) for the automated manipulation of articulated objects in a robot architecture. In particular, ASP is employed for representing the configuration of the articulated object, for checking the consistency of the knowledge base, as well as for generating the sequence of manipulation actions. The framework is validated both in simulation and on the Baxter dual-arm manipulator, showing the applicability of the ASP methodology in this complex application scenario.
Hybrid Technique for Enhancing Underwater Image in blurry conditions

Enhancing underwater visualization using hybrid technique is generally employed into oceanic production.Through growing oceanic learning, undersea processing has drawn extra importance owing towards necessary task of picture towards attaining data.Although, suitable to reality of dust-like constituent and beam reduction, undersea descriptions continually experience small contrast and color alteration.In this paper, we estimate submerged beam transmission progression also intend an effectual means to defeat the backscatter trouble.Our scheme generally includes three steps; first, we reconstruct the picture using adaptive regularization.Second, we separate the reconstructed picture with weighted decomposition; third, we exploit color adjustment along with dehazed process via gradient guided filter towards holding dual mechanisms independently; at last, re-establish fine effect, we use hybrid technique for enhancing the picture.The tentative outcome illustrates that our proposed process extensively get better quality of unclear submerged descriptions.In common, our proposed method verified as well-performed and effectual than existing technique.
The object model of the selective information dissemination

The author examines the object model of the selective dissemination of information (SDI) that forms the basis for designing user information awareness system of the RAS Library for natural Sciences. The SDI system users are offered two types of services: the first is to provide awareness on the list of journals defined by the user, and the second is awareness building on thematic enquiries being formed with the keywords that the user supplies. The suggested SDI system differs from the traditional systems of the kind: designers do not limit the list of journals or the list of primary sources to be addressed within thematic search with the list of full-text resources available by the library’s subscription. This object model and the corresponding SDI system prototype have been operating since 2016. Its successful operation enables to suggest the described object model as a standard model for SDI system.
O2: A Network Protocol for Music Systems

O2 is a communication protocol for music systems that extends and interoperates with the popular Open Sound Control (OSC) protocol. Many computer musicians routinely deal with problems of interconnection, unreliable message delivery, and clock synchronization. O2 solves these problems, offering named services, automatic network address discovery, clock synchronization, and a reliable message delivery option, as well as interoperability with existing OSC libraries and applications. Aside from these new features, O2 owes much of its design to OSC, making it easy to migrate existing OSC applications to O2 or for developers familiar with OSC to begin using O2. O2 addresses the problems of interprocess communication within distributed music applications.
REAL-TIME TRACKING IN SATELLITE VIDEOS VIA JOINT DISCRIMINATION AND POSE ESTIMATION

Abstract. Object tracking has gained much attention in the field of computer vision and intelligent traffic analysis. Satellite videos are more suitable for long-distance tracking comparing to the road traffic videos. However, most of the state-of-the-art methods produce poor results when applied to satellite videos, due to low resolution of the small target and interference from similar background in satellite videos. In this paper, we present an improved Discriminative Correlation Filter based approach specifically tailored for small objects tracking in satellite videos through applying spatial weight in the filter and estimating the pose by Kalman filter. First, a spatial mask is introduced to encourage the final filter to give different contributions depending on the spatial distance. Furthermore, Kalman filter is incorporated into the approach with the aim of predicting the position when the target run into the large area similar background region. Finally, an efficient strategy for combining the improved DCF tracker and pose estimation is proposed. Experimental results on three satellite videos describing the traffic conditions of three cities demonstrate that the proposed approach can effectively track the targets even though the targets are similar to the background region in a period of time. Compare with other state-of-the-art methods, the final accuracies and speeds of our method achieve the best.
Synthesis of a trend’s integral estimate based on a totality of indicators for a time series data

The need for a qualitative estimation of social processes, trends, and activities executed by social governing institutions has been considered. It was determined that the information openness, availability of processing and informational tools create the conditions for efficient administration.An analysis of trends for a time series in the indicators’ dynamics has been performed. The number of priority indicators for analysis and generalization was limited to four, the data were selected from reports by the World Bank, Obozrevatel.ua, and Transparency International. The unified norm has been introduced, which would ensure the comparability of indicators that generate the conclusion on the state, trends, and processes. One of the norms that are applied for Euclidean spaces has been introduced.The system of basic estimation of the integral indicator has been substantiated, based on data about management efficiency, quality of regulation, political stability, absence of violence and CPI index. Expressions for estimation of prognostic values for the integral indicator were derived. It was proposed to use a lower boundary as the estimate to analyze the efficiency of public administration activities.Modeling of the processes of estimation of the integral indicator was performed and a five-year time series for the integral indicator was obtained. The relation between an error of the integral indicator, the size of the sliding window, jumps in first and second derivative from a generalized time series and a permissible error has been represented as a limited inequality. It was proposed to introduce the system of representation and mapping of time series in dimensionless, limited spaces by rotation at an angle around the common axis. The definitions were introduced, the theorem about retaining the local values for relative dimensions and errors were introduced. The influence of the quadratic form on a local relative error of the integral indicator has been shown. The prediction of the development was performed and the assessment of public administration activities was given based on the estimate of the integral indicator
CONDITIONS FOR FORMING THE TEACHER'S DIGITAL COMPETENCY IN THE POSTGRADUATE EDUCATION

The article defines the conditions for the formation of a teacher's digital competence in postgraduate education. The analysis of the international standards of UNESCO, the European digital competence framework for citizens (DigComp 2.1 and educators (Digcompedu), and the generalization of the criteria for the definition and assessment of digital competence among teachers. The results of the study are based on the experience of improving the skills of teachers of the city of Kyiv using empirical methods: observation, survey (questionnaires, interviews). The questionnaire allowed to identify the main inquiries of teachers regarding the formation of individual trajectories of professional development, including in The conditions of the formation of the digital competence of teachers in the system of postgraduate pedagogical education are determined: the digitalization of education, the availability of legal documents on standards and requirements for the teacher's digital competency (international, institutional, national), the need to develop and implement the criteria for the development of digital competency teachers (tests, questionnaires, etc.), introduction of international, domestic projects on the use of ICT, readiness of postgraduate students Go to ensure the formation of the digital competency of teachers (IT infrastructure, availability of scientific, educational and environmental resources), IT infrastructure of the educational institutions in which the teacher works (hardware, software, including digital laboratories, connection to high-speed Internet, personalized informational and educational environments, etc.). In addition, an important condition is determined by the teacher's motivation to continuous professional development and self-assessment of his digital competence. It is proved that the development and implementation of national standards for teacher's digital competence, giving him the right to decide for themselves in which institutions to improve their qualifications, promote the introduction of new approaches to constructing individual paths for developing digital competency of teachers.
A Model for Identifying Historical Landmarks of Bangladesh from Image Content Using a Depth-Wise Convolutional Neural Network

At present, tourism is considered to be one of the key factors shaping the development of a country’s economy. Most of the tourists tend to explore places that they find fascinating after watching pictures of that places over Internet. Anyone can know about a famous place by simply typing the name of that place in an internet browser. But problem arises when he/she comes across the image of a beautiful landmark which is anonymous as most of the time web images do not convey any text caption. Most of models provided for image identification so far exhibit much complex structure and increased time complexity. In this paper, we have proposed a CNN model based on MobileNet and TensorFlow for detecting some historical landmarks of Bangladesh from their image. We have examined 750 images from five different places and comparing other state-of-art models, our model holds relatively simpler structure and has achieved a significantly higher average accuracy of 99.2%. This model can be further enhanced to facilitate image classification in other related areas.
Parameter Estimation for p-Order Random Coefficient Autoregressive (RCA) Models Based on Kalman Filter

In this paper we elaborate an algorithm to estimate p-order Random Coefficient Autoregressive Model (RCA(p)) parameters. This algorithm combines quasi-maximum likelihood method, the Kalman filter, and the simulated annealing method. In the aim to generalize the results found for RCA(1), we have integrated a subalgorithm which calculate the theoretical autocorrelation. Simulation results demonstrate that the algorithm is viable and promising.
CONFLICT MANAGEMENT IN EDUCATIONAL ORGANIZATION

The process of educational institutions of higher education restructuring, reducing the academic load and, as a consequence, reducing teachers numbers, the unfavorable organizational culture of a higher education institution lead to an increase of a destructive conflict level in the educational environment. Many conflicts arising in higher education are not complete without clarifying the high-pitched relationships, negative emotions, and sophisticated manipulations. Giving in to emotions, the participants of the conflict kindle it more strongly, involve other people in it, thereby expanding the field of conflict. However, without conflicts, it is impossible to imagine the development of an educational organization, they energize and motivate, contribute to a better understanding of problems, clarify relationships, and all this becomes possible only if conflicts are managed and constructively resolved. The urgency of the problem of conflict management in an educational organization is due to the need to prevent the occurrence of destructive conflicts, to make inevitable conflict situations constructive. Research methods: analysis and synthesis of scientific information, research results in the field of conflict management; generalization and systematization of facts and provisions; observation of the behavior of university teachers in a conflict situation.The article presents the functions of external and internal mechanisms for managing conflicts in an educational organization. Experimental work consisted in designing a conflict management system among the faculty of the university focused on the implementation of general management functions (planning, organization, motivation, coordination, control), consisting of interrelated elements: organizational and managerial; technological; documentation support.
Control of spontaneous emission of qubits from weak to strong coupling

Photon emission and absorption by an individual qubit are essential elements for the quantum manipulation of light. Here we demonstrate the controllability of spontaneous emission of a qubit in various electromagnetic environments. The parameter regimes that allow for flexible control of the qubit emission routes are comprehensively discussed. By properly tuning the system couplings and decay rates, the spontaneous emission rate of the qubit can undergo Purcell enhancement and inhibition. In particular, when the cavity is prepared in the excited state, the spontaneous emission rate of the qubit can be significantly suppressed. We also demonstrate a spectral filter effect which can be realized by controlling the steady-state emission spectra of qubits.