Reviewerly/exHarmony huggingface dataset:
Pedestrian Attribute Recognition with Occlusion in Low Resolution Surveillance Scenarios

In surveillance scenarios, the pedestrian images are often facing poor resolution problems or the images are often suffered the occlusion problems. These problems make pedestrian attribute recognition more difficult. In order to solve this problem, we propose an improved pedestrian attribute recognition method based on hand-crafted feature. In this method, we use Patch Match algorithm as pedestrian image preprocessing to enhance the pedestrian images. Experiments show that this method proposed performs excellent when the pedestrian images suffer occlusion problem and the method is robust to low resolution problem.
Research and Exploration on the 2.0 Construction of Educational Informationization in Higher Vocational Colleges

In order to carry out the nineteen spirit of the Party in depth, speed up the modernization of education and the construction of education power, and promote the development of education in the new era, the action plan for education information put forward by the Ministry of Education is officially issued in April 13, 2018. This is not a simple change of data. It is an upgrade of educational information. This article, from the main line of talent training in higher vocational colleges, expounds the construction ideas of education 2.0 in higher vocational colleges, and provides the direction and strategy for the construction of the 2.0 construction of education in higher vocational colleges.
OPTIMALISASI PENGOLAHAN BAHAN PUSTAKA DI KANTOR PERPUSTAKAAN DAN ARSIP DAERAH KABUPATEN KARIMUN

The library materials management is one of the main activities in a series of library process. This activities allow the library collections to be organized in a systematic, effective and efficient manner. The performance of processing library materials greatly influences the success of the library in carrying out its duties and functions. This study aims to examine the optimization of processing library materials in the Regional Library and Archives Office of Karimun Regency. The approach used in this study is a qualitative approach. The population in this study were all staff at the Regional Library Office and the Archives of Karimun Regency totaling 48 people. With a sample of 10 people, namely 5 civil servants and 5 honorary people. As the result of the study concluded that here are several things that can be done by universities in order to change the community's stigma about the existence of universities. First, with more professional library management. Second, the development of a library with adequate facilities. The building or library room is quite good, in the sense that it is adequately visited by visitors. This is inseparable from the maintenance of space and buildings by librarian officers as a place to store collections of library materials, librarian workplaces, and reading rooms for library users. library equipment owned by the library and archives of the District of Karimun are library materials, research cabinets for goods, tables, chairs, collection shelves, library materials, magazines, newspapers, book stroller, and wall boards.
AUDI: Towards Autonomous IoT Device-Type Identification

IoT devices are being widely deployed. But the huge variance among them in the level of security and requirements for network resources makes it infeasible to manage IoT networks using a common generic policy. One solution to this challenge is to define policies for classes of devices based on device type.In this paper, we present AUDI, a system for quickly and effectively identifying the type of a device in an IoT network by analyzing their network communications. AUDI models the periodic communication traffic of IoT devices using an unsupervised learning method to perform identification.In contrast to prior work, AUDI operates autonomously after initial setup, learning, without human intervention nor labeled data, to identify previously unseen device types. AUDI can identify the type of a device in any mode of operation or stage of lifecycle of the device. Via systematic experiments using 33 off-the-shelf IoT devices, we show that AUDI is effective (98.2% accuracy).
Проблема социальных способов воздействия на организацию рационального режима труда и отдыха студентов

The article deals with the problem of social methods of influencing the organization of a rational mode of work and rest of students. Presents the results of a sociological study of attitudes towards health and the use of the main factors of a healthy lifestyle of students. The organization of a reasonable rhythm of work and rest is of paramount importance for students, especially in the last decade, due to the great changes taking place in the educational space, and above all, such as a radical restructuring of learning technologies, introduction of innovations, and significant intensification of the educational process. With the adoption of the Bologna education system, in the conditions of a score-rating system for assessing knowledge, the proportion of students' independent activities increases, their constant activity is stimulated, an element of competition is introduced, which keeps students in constant stress and, if they do not organize educational work, can contribute to forces, but also neuropsychic exhaustion. The objectives of the study were as follows: to study the current state of the work regime and the rest of university students, to determine the factors that contribute to and prevent the organization of a rational mode of student life, indicate possible ways to solve the problem. Since the intellectual activity of students is characterized by a high level of neuropsychic tension and, at the same time, low motor activity or the lack of it at all, the recovery of students is impossible without physical exertion, without alternating mental and physical labor, without changing one type of activity with another. Compliance with the correct mode of work and rest helps to solve many important tasks: to increase the quantity and quality of work performed per unit of time, maintain the ability to work intensively and efficiently throughout the whole labor process, prevent emotional, mental and physical overloads, less fatigue, avoid overwork that is, ultimately, the optimal mode of vital activity helps a person not only to preserve, but also strengthen his health, both physical and mental.
A Probabilistic Approach to Linguistic Variation and Change in Biblical Hebrew

There is currently a disagreement in the field of Hebrew Studies on the methods used to date individual books within the Hebrew Bible. An important question in this debate is if linguistic differences between the books are significant enough to warrant a diachronic explanation. In this project, we seek to answer whether differences in syntax between the books are large enough to merit groupings into Standard or Late Biblical Hebrew. We use a statistical tool called Markov Chains, which models transition dependency in sequences. Our method takes into account word and phrase order for parts of speech, phrase functions, and phrase types. We then cluster the books based on their statistical similarities. Our results may corroborate key claims of the diachronic approach
On-chip modulator-free optical transmitter for quantum and classical communications

The practical combination of quantum cryptography and classical communications will require convergence of their technologies. In this pivotal time where both fields are transitioning towards photonic integrated architectures, it is essential to develop devices that fully leverage their hardware compatibilities, while still addressing the key issues of cost reduction, miniaturization and infrastructure energetic footprint, essential for future high- bandwidth, low-latency networks. Here, we address these issues by developing an on-chip transmitter consisting of just 3 building blocks but capable of transmitting both quantum encrypted photons and classical multi-level modulation signals. By combining optical injection locking and direct phase modulation we are able to encode pulse trains with multiple levels of differential phase, without the need of high-speed electro-optic modulators and their associated power footprint. We generate return-to-zero differential phase shift keying signals with up to 16 distinct levels. Moreover, we demonstrate multi-protocol quantum key distribution delivering state-of-the-art secure key rates. Our on-chip transmitter will facilitate the flexible combination of quantum and classical communications within a single, power-efficient device that can readily be integrated in existing high connectivity networks.
Pengembangan Media Pembelajaran Berbasis E-Learning Portable Moodle Materi Sistem Koordinasi Untuk SMA Kelas XI IPA

Abstract. This study aims to determine the validity and practicality of moodle (poodle) portable learning media in biology learning. This research is a development research with 4D models. The subjects of this study were students of class XI IPA 1 and XI IPA 2 Senior High School of Pangkajene 20, Pangkep and Biology teachers. This study was conducted for 4 meetings for media trials by researchers and Biology teachers. The collection technique was to validate the expert validator first, then share the questionnaire responses of the teachers and student responses to test the practicality of the media that has been made. The results of expert validation showed that media development products have valid criteria based on assessment by material experts at 4.3 and media experts at 4.6. Field tests were carried out for students of Senior High School of Pangkajene 20 and biology teachers as the users of media products, and obtained criteria based on the acquisition of scores percentage of assessments in each trial amounted to 79.62% for student responses and 90% for teacher responses. Based on the data analysis in this study, it was concluded that the results of the development of poodle-based media obtained valid and practical criteria for use in biology learning. Keywords: media, portable, moodle, valid, practical.
Multi domain sentiment classification approach using supervised learning

Digital info out there on the net is increasing day by day. As a result of this, the demand for tools that facilitate individuals to find and analyzing of these resources also are growing in variety. Text Classification, particularly, has been terribly helpful in managing the information. Text Classification is that the method of assignment language text to 1 or a lot of classes supported the content. Its several necessary applications within the globe. As an example, finding the sentiment of the reviews, denote by people on restaurants, movies and different such things area unit all applications of Text Classification. During this project, the focus has been ordered on Sentiment Analysis that identifies the opinions expressed in a very piece of text. It involves categorizing opinions in text into classes like 'positive' or 'negative'. Existing works in Sentiment Analysis centered on decisive the polarity (Positive or negative) of a sentence. This comes below binary classification, which suggests classifying the given set of components into 2 teams. The aim of this analysis is to handle a unique approach for Sentiment Analysis known as Multi category Sentiment Classification. During this approach the sentences area unit classified below multiple sentiment categories like positive, negative, neutral then on. Classifiers area unit engineered on the prognostic Model, that consists of multiple phases. Analyses of various sets of options on the info set, like stemmers, n-grams, tf-idf then on, are thought of for classification of the info. Totally different classification models like Bayesian Classifier, Random Forest and SGD classifier area unit taken into thought for classifying the info and their results area unit compared. Frameworks like woodhen, Apache driver and sickest area unit used for building the classifiers
The use of mobile phones in the english classrooms

In this technological and digital era, web-based technology seems to be indispensable in all domains. Without any hesitation, one can say that man is addicted to technology and it is evident that he/she cannot survive without using the available technology now. Apparently, the use of technology in the field of education, especially in EFL/ESL classrooms, is significant and it makes the teaching-learning process more effective and flexible. In this regard, the English language teachers need to welcome or embrace the latest and innovative technologies into their classrooms, as it is essential for learners, to prepare them to make use of the available technology and make their learning environment more attractive, interesting and lively. At this juncture, the usage of mobile phones or smart phones is focused because it enhances the learners ’learning skills as well as solving their problems, related to their courses, instantly in the classrooms. Moreover, the learners ’confidence immensely increases in this process so that they try to learn the things comprehensively in their classrooms and also get valuable information regarding the topic that they learn from their teachers. Hence, the English language teachers should always encourage their learners positively to use mobile phones or smart phones in their classrooms to make teaching-learning process a fruitful one. This paper brings out the significance of technology that is useful for both the teachers and the learners. This paper also discusses the necessity of using mobile phones in the English classrooms in a detailed way. Moreover, it expounds the benefits of using these mobile phones in the EFL/ESL classrooms thoroughly and it also emphasizes the impact of these mobile apps on both the leaners and the teachers. Finally, some useful suggestions are given for the teachers to implement novel techniques in their English classrooms and also for the learners to develop their learning skills in and outside the English classrooms with the help of the technology available now.
An Algorithm for Tracking Guitarists’ Fingertips Based on CNN-Segmentation and ROI Associated Particle Filter

In this paper, we propose a new approach to tracking the fingertips of guitarists by embedding a CNN-based segmentation module and a temporal grouping-based ROI-association module combined with a particle filter. First, a CNN architecture is trained to segment hand area of each frame of input video. Then, four fingertip candidates (fore, middle, ring and little fingertips) on each frame are located by counting the vote number of template matching (TM) and reversed Hough transform (RHT). Furthermore, temporal grouping-based ROI association is applied to removal noise and group the fingertip candidates on consecutive frames. Finally, particles are distributed between associated fingertip candidates on every two adjacent frames for tracking the fingertips of guitarists. Experiments using videos containing multiple persons&#x2019; guitar plays under different conditions demonstrate that the proposed method outperforms the current state-of-the-art tracking algorithm in terms of the hand area segmentation accuracy (98%) and the fingertip tracking mean error (5.16 pixel: 0.22&#xA0;cm on the guitar neck) as well as computation efficiency.
Uncertainty-aware Prediction in Spatio-temporal Simulation Ensemble Visualizations

Spatio-temporal simulation ensembles are used to investigate the dependence of the simulation behavior on input parameters. Running simulations for a large number of input parameter settings is computationally expensive. We propose a scheme for exploring the parameter space using predictions of simulation outcomes and estimating the uncertainty in the predictions. The prediction approximates the simulation result by interpolating feature vectors of existing runs. The feature vectors are used to compute similarities between simulation runs facilitating visualization of the entire ensemble within a 2D (or 1D-over-time) multi-dimensional scaling embedding. Uncertainties of the prediction are computed based on distance, interpolation and diversity, which are visually encoded by an uncertainty band in the embedding. To guide the user to choose suitable parameter settings for prediction, we also propose a parameter-space visualization of the uncertainty. The approach is applied to real-world data simulating deep-water impact of asteroids.
Optimal Score Fusion via a Shallow Neural Network to Improve the Performance of Classical Open Source Face Detectors

Face detection exemplifies an essential stage in most of the applications that are interested in visual understanding of human faces. Recently, face detection witnesses a huge improvement in performance as a result of dependence on convolution neural networks. On the other hand, classical face detectors in many renowned open source libraries for computer vision like OpenCV and Dlib may suffer in performance, yet they are still used in many industrial applications. In this paper, we try to boost the performance of these classical detectors and suggest a fusion method to combine the face detectors in OpenCV and Dlib libraries. The OpenCV face detector using the frontal and profile models as well as the Dlib HOG-based face detector are run in parallel on the image of interest, followed by a skin detector that is used to detect skin regions on the detected faces. To figure out the aggregation method for these detectors in an optimal way, we employ a shallow neural network. Our approach is implemented and tested on the popular FDDB and WIDER face datasets, and it shows an improvement in the performance compared to the classical open source face detectors.
Improving Readability for Tweet Contextualization using Bipartite Graphs

Tweet contextualization (TC) is a new issue that aims to answer questions of the form What is this tweet about? The idea of this task was imagined as an extension of a previous area called multi-document summarization (MDS), which consists in generating a summary from many sources. In both TC and MDS, the summary should ideally contain most relevant information of the topic that is being discussed in the source texts (for MDS) and related to the query (for TC). Furthermore of being informative, a summary should be coherent, i.e. well written to be readable and grammatically compact. Hence, coherence is an essential characteristic in order to produce comprehensible texts. In this paper, we propose a new approach to improve readability and coherence for tweet contextualization based on bipartite graphs. The main idea of our proposed method is to reorder sentences in a given paragraph by combining most expressive words detection and HITS (Hyperlink- Induced Topic Search) algorithm to make up a coherent context.
NOVEL 5G AUTHENTICATION KEY AGREEMENT WITH QUANTUM AND POST QUANTUM CIPHERKEY DYNAMIC ON TELECOMMUNICATION NETWORKS

The 5G telecommunication network security is based on the standard specified by 3GPP (3rd GenerationPartnership Project) and on the security of the master key shared between the UE (User Equipment) and theoperator. To authenticate to the network, the 5G-AKA (5G-Authentication Key Agreement) protocol uses mutualauthentication. Users resp. operators use cryptography to verify the authenticity of the operator resp. users.However, knowledge of the master key can create a hacker network that can capture the traffic of users. The QPQ-CD module (Quantum and Post Quantum Cipherkey Dynamic) consists of modifying the 3GPP standard by addinga recurrent change of this key to each successful authentication. The quantum part of QPQ-CD will be formed by aquantum confusion technique based on the Hilbert QHT (Quantum Hilbert Transform) method and the Arnold QAT(Quantum Arnold Transform) method on 3 matrices. The Post-Quantum part of QPQ-CD will focus on multiplehashing methods. The 12 families of hash algorithm used will reduce the matrices to 256 bits. An optimizer based ona one-bit change and an effective probability selector perfect the choice of the next key. The effective probability ofthe key will be based on probability of extremity, probability of proximity, probability of a bit changed, andprobability of disorder or binary entropy and probability of penalties. According to the order of its probabilities, thefollowing key after QPQ-CD thus has the behavior: very far from the ends of the key (00 ... 000 and 11 ... 111); veryfar from the previous key; several bits changed and very messy from the point of view bit zero and bit one and thepenalty of bad extremity proximity. One of the 5 approaches of selectors and key optimizer will be perfected torefine the result. By simulating on MATLAB several authentication tests, the probability of the extremity andproximity will both be greater than or equal to 50% and the probability in case of binary entropy and disorder willbe close to 100%. The effective probability of selection at this time will be greater than 50%
KETERCAPAIAN KURIKULUM TINGKAT SATUAN PENDIDIKAN SEKOLAH MENENGAH KEJURUAN DI KOTA YOGYAKARTA

The research has the objective to evaluate the implimentation of KTSP at vocational school in Yogyakarta. The research result says that (1) the implimentation achievement of variable descriptive test result relating content context and the implimentation of education policy with the score 64.51% is categorized sufficient, (2) the support of school to the implimentation of KTSP with the score 75.69% is categorized good, (3) the implimentation of readiness of school program and school resources with the score 80.58% is categorized good, (4) the implimentation of process involving teachers and students is categorized good, (5) and the problem in implimenting KTSP is fund, facilities, and the lack of knowledge about KTSP for vocational school.
A graphical password authentication approach for secure banking

Authentication is the process to provide sure information security and the graphical password authentication method is an accessible and easy process to provide authentication. The major problem of user registration, approximately text base password, is well known. If the login user is inclined to select a simple password which is frequently in his mind it becomes straightforward for attackers to guess. If the password is machine generated it is mostly over complex for the user to keep in mind. User authenticated password using cued click points graphical password scheme includes memo ability, usability and security evaluations. This paper is on enhanced user graphical password authentication with a usability and memo ability, so that users select more random or more difficult to guess passwords. In click-based graphical passwords, image or video frames provide the database to load the image and then give authenticated access to all information in the database.
I vestiti nuovi dell’imperatore

The article describes the use of algorithms for relevance ranking in Italian OPACs. The results show that these algorithms are not able to order the bibliographic records in order to respond to the information needs of the user who made the search. The solutions adopted by Amazon and by the streaming music services (Apple Music and Spotify), which could also be used in the library catalogs, are therefore considered, since there would be no need to add data to those already present in the records.